Human capital, labor market and economic growth

The OECD recently published the international comparison of the gap in employment rates between university graduates and workers with secondary education or less (link). There is no single exception to the fact that the employment rate is the highest in the group of individuals with college and university degree. Nonetheless, the comparison of the variation in employment rate in the cross section of OECD countries is very interesting.

Among the OECD countries (link), Iceland enjoys the highest employment rate (94.7 percent) of those with college or university degree followed by Switzerland (93.9 percent), Norway (92 percent) and Denmark (91.4 percent). The lowest employment rate for university graduates in 2008 was in Turkey (81.4 percent), Italy (86.5 percent), Israel (86.6 percent) and Greece (87.2 percent). In contrast, the employment rate for those below the secondary education is the lowest in Slovakia (39 percent), Hungary (47.5 percent), Poland (55 percent) and Czech Republic (57.4 percent).

The persistence of high unemployment rate for those below the secondary education degree is a broad outline of the findings from the course of labor economics. The human capital, defined as the stock of years of education per capita, is highly positively correlated with career earnings. The evolution of human capital across the countries has been a subject of debate on economic growth. The empirical study by Robert Barro and Jong-Wha Lee (link) has shown that, for instance, upper secondary school attendence by males has a significant long-term impact on the economic growth. The level of education, sustained by the years of schooling, is not a sole determinant of economic growth in the international perspective. Although, the economic growth is strongly positively correlated with the average years of schooling, the relationship is less powerful considering different parameters of the educational attainment. In the Barro-Lee dataset (link), there is a significant variation between the share of female population that enrolled in a tertiary education and the share of female that completed the tertiary degree. The difference is significant not only in the cross section but also in the country-based time series.

By far the highest tertiary degree completion rate for female has been present in Australia, Canada, Ireland, New Zealand and the United States. Among other countries, the completion rate of Iceland and the Netherlands has been significantly higher compared to the countries of the Continental and Mediterranean Europe. The rate of return to an additional year of schooling significantly differed across countries and across the level of education. For instance, Barro and Lee estimated that the rate of return is the highest at the tertiary level (17.9 percent per annum) compared to the secondary level (10 percent) while the rate of return from an additional year of schooling at the primary level is statistically insignificant from zero. The picture shows the regional variation in the average rate of return from an additional year of schooling.

Rate of return from an additional year of schooling across the world

Source: R. Barro & J.W Lee: Educational Attainment in the World, 1950-2010 (link)

The creation of human capital is essential to higher economic growth. Ultimately, the investment in human capital is the essential means of higher standard of living in poor countries. An interesting theoretical question is what could account for a divergence across the countries? Considering the relevant economic theory as well as scholarly contributions to the theory and empirics of economic growth, there are several factors that explain the significance of divergence in the rate of return from an additional year of education.

First, the impact of behavioral patterns on education and labor market decisions explains a pretty large part of the difference between the effect of education and labor market structure on the rate of return from schooling. Although the field of behavioral economics (link) is still a largely evolving discipline within the economics, the existing empirical studies of the effects of institutional variables on education outcome try to capture these effects by different proxies such as the estimates of political freedom, the rule of law and civil liberties. The changes in the return to education may be related to these factors since the relative worth of education in regions such as Sub-Saharan Africa and Latin America may incur high opportunity cost given the payoff from predatory behavior or working in the informal sector of the economy.

Second, general and firm-specific human capital investment, the increase in college premium and the enormous increase in female labor force participation help explain high rate of return from an additional year of schooling in advanced countries and East Asia. In particular, East Asian tigers were able to sustain high economic growth rates partly because of well-trained and educated labor force able to use the modern technologies. The resulting outcome of the Asian economic miracles has been a steady growth in output per worker and a gradual convergence of wage rates in South Korea and Japan to the level of U.S. According to Kevin Murphy and Finis Welch (link), the premium of getting a college education in the U.S in 1980s was 67 percent. The growth in college and university attendence rates is largely explained by the robust increase in tertiary education premium.

And third, greater labor force participation of women has also led to higher rates of college and university attendence. In spite the persistent male-female pay gap, women have experienced a tremendous increase in lifetime earnings as a consequence of higher rates of college and university attendence. The persistence of the male-female pay gap can be explained by the rewards to education rather than by inherent gender bias. The U.S. Census published the relevant data (link) on the distribution of female earnings. In 2003, the female earnings of high school graduates in the 25-34 age thresold represented 78 percent of average male earnings. The earnings of the same female age thresold with bachelor's degree represented 89 percent of male earnings and 71 percent for those female with master's degree. What accounts for the gender earnings gap across the levels of age and education is the asymmetric self-selection that led to dispersed gender distribution of relative earnings. Men usually self-select into the areas of work requiring a significant amount of risk-taking and rather uncertain payoffs while the female labor market pattern is inclined towards less risk-taking and greater certainty regarding the stability of lifetime earnings.

The data by the U.S. Bureau of Labor Statistics (link) published in 2003, showed that female-to-male earnings ratio in high-paying jobs is the lowest in the field of chief executives where female earnings represented 80 percent of average male earnings in the same field of occupation. On average, the female-to-male earnings ratio declined in low-paying occupations such as cashiers (93 percent), cooks (91 percent), food preparation (93 percent) and hand packaging (101 percent). Contrary to the popular perception, female earnings in the field of computer systems management and legal industry represented 91 percent of average male earnings while the highest ratio in high-paying occupations was recorded in pharmaceutical industry (92 percent).

Indeed, there is a persistent and historically lowest male-female earnings gap. But, as the labor economic theory of human capital predicts, the gender pay difference reflects different cognitive abilities and preferences of occupational selection considering the degree of risk-taking and payoff uncertainty. Even the international test scores (link) confirmed that advantage of female cognitive abilities comprehends in verbal reasoning and reading skills (link) while the cognitive abilities of male are more inclined towards the use of computer technology (link) and mathematics (link).

Even in a cross-country perspective, the gender wage differential persists. The gap, defined as the female-male ratio, ranges from 0.9 in France to 0.7 in Canada. The gender wage differential is a cross section of major economies is shown in the table below.

The Gender Earnings Gap Across Countries

Source: F.D Blau & L.M Kahn, Gender Differences in Pay, 2000

The set of different institutional characteristics of labor market in different countries could easily complement the productivity growth rates as to explain the evolution of wage differential across countries. Even though wage rates are primarily determined by the productivity growth, the existence of collective bargaining schemes and rigid labor market mechanism determining wage rate and total compensation can add significantly to the enforcement of particular labor market policies affecting gender bias in wage determination. In the United States and other advanced countries, the main cause of the wider gender earnings gap is a significant gap between college education premium and high school premium. In addition, reductions in personal income tax rates furthermore increase the rewards to college education relative to the education levels of high school or less - which, by the empirical evidence, seems to be the main determinant of earnings gap in the labor market of advanced countries.

EARNINGS AND EDUCATION: A SURVEY

In 2009, the median weekly earnings of workers with bachelor's degrees were $1,137. This amount is 1.8 times the average amount earned by those with only a high school diploma, and 2.5 times the earnings of high school dropouts (link).

CHINA'S GROWTH MODEL

According to some preliminary estimates (link), China's trade balance is on the course for a significant surplus this year. IMF's annual forecast of current account balance predicted China's trade surplus at $334 billion in 2010 or roughly 6.2 percent of China's GDP. The IMF's medium-term forecast suggests a growing trade surplus by 2015 when the surplus is estimated at a little more than 8 percent of GDP.

Recently, Dani Rodrik questioned (link) the persistence of China's mercantilism based on persistently low exchange rate. The partial fixation of the exchange rate then stimulates export-led growth model and, consequently, results in a large trade surplus which translates into foreign exchange reserves, thus enabling China's central bank to foster exchange rate intervention to defended the targeted yuan exchange rate against the U.S dollar. The implications of China's growth model extend beyond the scope of effects on country's economic growth, investment and current account balance. China's export-led growth model has tremendously affected the macroeconomic performance of developing nations. The exports of developing nations in the European, Japanese and U.S markets basically substitute, not complement, China's exports to the markets of advanced countries. The persistent lack of the appreciation of renmimbi thus forced the economic policymakers of other developing nations to either adopt the same model of exchange rate intervention or lose the export share in developing countries. This intuition is underlined by the theoretical and empirical support.

In 2007, Hausmann, Hwang and Rodrik demonstated (link) that the pattern of specialization by developing countries predicts the subsequent economic growth, suggesting that the share of exports in advanced countries is highly positively correlated with the rates of economic growth. If China shifted the main source of economic growth from export-led model to domestic consumption, the renmimbi would have to appreciate considerably. Contrary to the assertion that China's exchange rate undervaluation hampers the economic growth, industrialization and development prospects of developing nations, the OECD recently stated that developing countries would be hurt significantly if the renmimbi exchange rate were allowed to appreciate. There is also an empirical support for the particular assertion. The OECD recently estimated (link) that, if China's output grew by 1 percentage point, the output of developing countries would decrease by 0.3 percentage point.

The empirics supports the argument I mentioned earlier - China's exchange rate misalignment inevitably hinders the growth prospects and industrialization of developing countries. The essential question in the course of economic development is what is the best model of growth for developing countries to boost industrialization and development frontiers.

One possibility is the so called surplus model. Historically, growth models of low-income countries were primarily based on exporting natural resources to the rest of the world. Countries such as oil-rich gulf states, Botswana and Argentina became wealthy. Such growth model heavily depends on export demand in other countries. The most notable failure of this growth model is that it doesn't encourage the diversification of economic activity. Thus, countries such as Libya have sustained relatively high levels of GDP but, at the same time, rather depressing domestic indicators. For instance, Libya's GDP per capita is at almost the same level as Chile's GDP per capita, but Libya's unemployment rate is 30 percent - almost three times the average unemployment rate in countries with the same level of GDP per capita. When foreign demand deteriorates, these countries experience the Dutch disease - an overheating economic activity and overvalued exchange rates that discourage investment, entrepreneurship and typically result in higher unemployment rates.

Industrialization and economic development mostly depend on domestic structural change based on the adopting the institutions of macroeconomic stabilization and the rule of law. China's exchange rate policy of renmimbi undervaluation is a failed temporary growth model that is set on the unsustainable course. Without shifting the major engine of growth from export-boosting exchange rate undervaluation to consumption-based growth, Chinese economy will no longer be able to sustain high productivity growth rates. Letting the renmimbi appreciate by free floating could significantly boost the potential for institutional change in China and other developing nations. Therefore, the systemic abuse of macroeconomic policy by exchange rate undervaluation would no longer be feasible and the costs of failed exchange rate regime for developing countries would diminish substantially.

PRODUCTIVITY GROWTH IN BRAZIL

Carlos Pereira of the Brookings Institution (link) has reviewed the dismal productivity growth and the consequent macroeconomic indicators in Brazil in the last decade.

"Although there are several expenditures in this category, the one that stands out high above all others is outlays for social security and pensions. Practically one-third of the federal budget is devoted to these expenditures, whereas expenditures in investments were less than 6 percent in 2003. Pensions in Brazil since the 1988 constitution have been notably generous, especially in the civil service. A new group of non-contributing rural pensions was added, contributing to systematic deficits. With about 11.7 percent of GDP, Brazil has one of the highest social security expenditures in the world, especially considering that the Brazilian population is much younger than that of most countries with similar levels of expenditure."

SKILLED IMMIGRATION AND INNOVATION

A recent paper by Jennifer Hunt (link) finds that the increase in foreign-born graduates strongly contributes to the innovation in the United States:

"In this paper I have demonstrated the important boost to innovation per capita provided by skilled immigration to the United States in 1950-2000. A calculation of the effect of immigration in the 1990-2000 period puts the magnitudes of the effects in context.

The 1990-2000 increase from 2.2% to 3.5% in the share of the population composed of immigrant college graduates increased patenting by at least 81:3 = 10:4%, and perhaps by as much as 18%. The increase in the share of post-college immigrants from 0.9% to 1.6% increased patenting by at least 10.5% and perhaps by as much as 24%. The increase from 0.30% to 0.55% in the share of workers who are immigrant scientists and engineers increased patenting by at least 13% but probably by less than 23%.

While I find evidence for the crowding-out of natives in the short run, in the long run there is evidence for the reverse: that skilled natives are attracted to states or occupations with skilled immigrants. The results hint that skilled immigrants innovate more than their native counterparts, especially if they are scientists or engineers. If correct, the result could reflect higher education of immigrants within skill categories, or positive selection of immigrants in terms of ability to innovate. However, the effect of natives is not as well identified econometrically as the effect of immigrants."

Thanks to New Economist (link) for the pointer!

WHY DO THE POOR CHOOSE TO LIVE IN CITIES?

In the recent edition of Yale Economic Review (link), Ed Glaeser, Matthew Kahn and Jordan Rappaport ponder one of the most difficult and challenging puzzles of urban economics:

"The 2000 U.S. Census shows that the average poverty rate in American cities drops significantly, from about 20% to 7.5%, as you move from the CBD of a city to its suburbs. How can we tell that this connection between city residence and poverty comes from treatment – that is, cities make people poor – rather than from selection, where the poor disproportionately move to central cities? Here, the data support selection: although ghettos may exacerbate poverty, poor people move disproportionately to the center of the cit- ies, either when switching homes or moving to a new metropolitan area... Given the high proportion of the urban poor who are Black, one might think that inner-city poverty is really just another example of the segregation of minorities. However, [the authors] found that poor Whites have roughly the same central city - suburb poverty gap as Blacks, so it is unlikely that race plays an important role in the centralization of the poor."

AFRICAN SUCCESS STORY: BOTSWANA

An intriguing empirical finding from the institutional perspective of economic development from Daron Acemoglu, Simon Johnson and James A. Robinson (link):

"Botswana has had the highest rate of per capita growth of any country in the world in the last 35 years. This occurred despite adverse initial conditions, including minimal investment during the colonial period and high inequality. Botswana achieved this rapid development by following orthodox economic policies. How Botswana sustained these policies is a puzzle because typically in Africa, ‘good economics’ has proved not to be politically feasible. In this Paper we suggest that good policies were chosen in Botswana because good institutions, which we refer to as institutions of private property, were in place...

Why did institutions of private property arise in Botswana, but not other African nations? We conjecture that the following factors were important. First, Botswana possessed relatively inclusive pre-colonial institutions, placing constraints on political elites. Second, the effect of British colonialism on Botswana was minimal, and did not destroy these institutions. Third, following independence, maintaining and strengthening institutions of private property were in the economic interests of the elite. Fourth, Botswana is very rich in diamonds, which created enough rents that no group wanted to challenge the status quo at the expense of ‘rocking the boat’. Finally, we emphasize that this situation was reinforced by a number of critical decisions made by the post-independence leaders, particularly Presidents Khama and Masire."

AUTHORITARIAN POLITICS AND ECONOMIC GROWTH

Dani Rodrik argues (link) that political dictatorship is damaging to economic growth since democracies not only outperformed countries with flawed political regimes in the dynamics of economic growth but also in terms of greater civil, economic and political liberties and investment in education that help enforce better public policies and yield better prospects of economic development.

"Democracies not only out-perform dictatorships when it comes to long-term economic growth, but also outdo them in several other important respects. They provide much greater economic stability, measured by the ups and downs of the business cycle. They are better at adjusting to external economic shocks (such as terms-of-trade declines or sudden stops in capital inflows). They generate more investment in human capital – health and education. And they produce more equitable societies."

THE 2015 SOVEREIGN DEBT FORECAST

Source: The Economist, Sovereign Debt: Wiggle Room, September 2, 2010 (link)

POVERTY, INCOME INEQUALITY AND ECONOMIC DEVELOPMENT

Financial Times reports (link) on the new measure of poverty proposed by economists from Oxford University. The authors suggested the modification of current measure of poverty which, defined by the World Bank in annually published World Development Report, is currently set at the thresold of $1.25 per day or less. The new measure proposed by economic researchers from Oxford University sets the definition of poverty in a more sophisticated framework based on the household availibility of access to clean water, education, health care and other durable and non-durable goods. The new method, called Alkire-Foster approach, incorporates the qualitative elements into the measurement of poverty.

Using the new method, the authors examined poverty rates in four Indian provinces and evaluated the approach in comparison to the existing income method which had been used in economic and policy analysis by the World Bank and other institutions of economic development. The authors found a significant divergence of poverty rates when measured in both methods. For instance, under Alkire-Foster approach, the poverty rate in Indian state Jharkhand is 50 percent higher compared to the rate of poverty measured under the income method. On the other hand, the authors of the new poverty measure have shown that in some Indian provinces such as Uttaranchal (link), the official measure of poverty highly over-estimates the effective poverty measure as defined by Oxford's Poverty and Human Development Initiative. The multidimensional worldwide poverty index is also availible on the web (link).

The intuitive question arising from the data and empirical research on poverty is whether higher economic growth in less developed countries boosts the growth of income per capita and what is the role of institutional characteristics in economic development. The authors of the abovementioned measure of poverty have shown that despite abundant economic growth in past years and falling income poverty rates, the share of population without access to clean water, sanitation and minimum required nutrition remained unchanged. The percentage of malnourished children in India decreased from 47 percent in 1998-98 to 46 percent 2005-06.

The theoretical and empirical literature on economic growth suggests that there is an inverse U-relationship between inequality and income per capita known as Kuznets curve (link). The intuition behind the relationship is simple. At the very low levels of income per capita, income inequality is low. Alongside the course of growing income per capita, income inequality steeply increases and, after reaching a maximum, it decreases as countries achieve higher levels of income per capita. The rate of income inequality is closely related to the evolution of economic policies over time. Wagner's law, discussed in one of the previous posts, states that government spending over time increases due to long-run income elastic demand for public goods and capture of the democratic system by the particular interest groups that pose a permanent pressure on the growth of government spending and resist the reversals of government expenditures by trading votes.

There's a wide array of disagreement among economists on the effect of income inequality on economic growth. Back in 2001, Joseph Stiglitz re-examined the East Asian economic miracle and concluded that the evidence from the period of high economic growth in East Asian countries suggests that income redistribution has a positive effect on economic growth (link). Stiglitz's argument is based on the income distribution in East Asian countries during the economic miracle. East Asian countries have been known for relatively even distribution of income demonstrated by high Gini index and relatively high income tax rates.

On the other hand, the empirical investigation of the initial conditions in East Asian countries before the economic miracle shows that the political influence of interest groups had been relatively weak compared to Western Europe after the World War 2 when the productivity growth stalled from early 1970s onwards. The relative weakness of interest groups and a stable judicial system, inherited from English common law tradition, enabled high economic growth in the longer run given an enduring stability of property rights protection and the rule of law. In such conditions, income redistribution had relatively little effect on economic growth since the empirics of East Asian miracle suggests that the sizeable proportion of growth in East Asian countries (Malaysia, Singapore, Korea and Taiwan) had been driven by technological progress, investment and export orientation. Considering export orientation, Rodrik et. al (2005) provided the evidence (link) on the positive effect of high-quality export orientation on economic growth. The productivity growth in East Asian countries between 1975 and 1990 had been a pure example of economic miracle defined by the share of growth that could not be explained by the contribution of labor and capital input. In Taiwan and Hong Kong (link), total factor productivity accounted for about 60 percent of output per capita growth. Between 1975 and 1990, in Singapore, output per capita had increased by 8.0 percent. Consequently, the resulting outcome of almost two decades of robust productivity growth had been a significant decrease in national poverty rates (link). The lowest poverty rate, as defined by the measures of home authorities, is in Taiwan where 0.95 of the population live below the poverty thresold.

The basic set of policies that alleviate extreme poverty such as providing access to clean water, nutrition, medical protection against HIV/AIDS and basic sanitary standards have a positive effect on the economic growth and the standard of living. However, the major cause of persistent under-development in Subsaharan and Tropical Africa is mostly the lack of institutional enforcement of property rights, the rule of law and independent judiciary. In spite of billions of USD of direct foreign aid, countries such as Zambia, Sierra Leone, Mali and Rwanda endure in persistent poverty and under-development. Esther Duflo, this year's recepient of John Bates Clark Award, has shown in several studies how field experiments can enlighten the understanding of incentives in least developed countries (link). Understanding the significance of incentives in reducing poverty is crucial to further examination of the relationship betwen income inequality and economic growth.

U.S. POPULATION STRUCTURE: 2010-2050

Source: U.S. Census Bureau (link)

THE EMPIRICAL EVIDENCE ON WAGNER'S LAW

Ever since the original proposition by a 19th century German economist Adolph Wagner, Wagner's law has undergone significant theoretical and empirical discussion on its long-run validity. In the most basic and rudimentary version, the law states that alongside the economic development of industrial societies, there is a persistent tendency of an increasing share of government spending in the GDP. Since the beginning of the 20th century course, the growth in government expenditures has escalated in all major industrial countries. The economic literature has centered the discussion on two elementary versions of Wagner's law. The first version of Wagner's law attributes the growing share of government spending to the ever expanding power of interest groups.

The concept of interest groups has been thoroughly developed by a rigorous theoretical analysis by Mancur Olson's The Logic of Collective Action. There is a remarkably positive correlation between the growth of government spending and the political power of interest groups. Back in 1954, Milton Friedman and Simon Kuznets have analyzed the income dynamics in independent professions (link). Although there has not been much discussion in the economic literature, the Friedman-Kuznets analysis is an important milestone in the explanation of the evolution of interest groups. Friedman and Kuznets examined five independent professions. Using a comprehensive statistical analysis, they showed how income growth in five profession has exerted an upward trend without significant gains in productivity. The five independent professions analyzed by Friedman and Kuznets emerged as pure interest groups. These groups have imposed a regulated labor market structure marred by occupational licencing and aimed at gaining an insider's earnings rent at the expense of entry restriction. Occupational licensing is one of the most powerful explanatory features of low coefficient of price and income elasticity of labor supply of physicians, dentists, legal consultants and medical practitioners. In most of the industrial countries, these groups have emerged as powerful interest groups and triggered an unbreakable increase on the growth of government spending. The evolution of interest groups in fields such as agriculture, social security and trade has resulted in the intensive pressure on the growth of government spending. The interest group perspective on Wagner's law emphasizes the state capture created by the democratic system and an irreversible pattern of increases in government spending centered on small and powerful interest groups. If interest group's representative utility function can be described as a relationship between the group's size and its price elasticity of labor supply: U(f,e)=f(1-|e|), then the effect of a unit change in price elasticity of labor supply dU/de=-f indicates that greater price elasticity of labor supply will reduce the size (f) of the interest group as a result of pure substitution effect at work. On the other hand, if price elasticity of labor supply of the particular interest group will decrease, causing more price inelastic labor supply, the size of the interest group will increase since most of the excess wage increases will spill into physician's pocket.

The second version of Wagner's law states that an increase in government spending in time is a result of a high income elasticity of demand for public goods. Rati Ram (1986) has tested this hypothesis on the sample of 115 countries between 1950 and 1980. His conclusions suggest that income elasticity of demand for public goods is very elastice (exceeding 1) in 60 percent of all countries in the sample. A comprehensive development of econometric methodology has enabled a more rigorous and empirical evaluation of Wagner's law on the basis of long-run simulation using time-series data. For example Sidelis (2006) has applied cointegration analysis and Granger casuality tests to determine whether long-run changes in income account for the growth of government spending in Greece between 1833 and 1938 (link). The author concludes that income elastic demand for public goods caused a growth in government expenditures. A recent study by Lamartina and Zaghini (2008) indicates (link) a negative relationship between government spending and economic growth in a sample of 23 OECD countries. The study further suggests that the correlation between income growth and government expenditure is stronger in countries with low initial levels of GDP per capita. Neck and Getzner (2007) collected data on government expenditure in Austria between 1870 and 2002 and examined whether the surge of government expenditure is attributed to either Wagner's law or Baumol's cost disease. The authors applied Phillipe-Perron and Augmented Dickey-Fuller stationarity tests, concluding that government spending time series more likely represents a stationary time series. In concluding remarks, the authors note that much of the increase in government expenditure is a problem of increasing prices in public sector, relating the growth in public expenditures to Baumol's cost disease where output reduction in public sector is a result of net decrease in productivity growth which yields a significant pressure from public sector interest groups on expenditure increases.

Wagner's law is an intriguing theoretical and empirical issue. In spite of the numerous empirical evaluation and theoretical design, the issue will probably remain an intensive course of the academic debate.

THE ECONOMIC EFFECTS OF SODA TAX

Greg Mankiw (link) and David Leonhardt (link) have opened a debate on whether govenrment policymakers should levy a tax on soda and other soft drinks as an attempt to reverse the growing trend of obesity among the U.S. population. The idea of taxing soda has become popular as governments around the world have recorded high budget deficits and revenue shortfall. The real question is what would be the effects of taxing soda and, if so, would the introduction of the tax contribute to the reversal of the obesity pattern, especially among the child population.

There is a decent amount of empirical studies and health policy analyses on the patterns and causes of obesity. Obesity and the risk of premature death resulted from high blood pressure and the potential heart attack is the most individual cost of fast-food consumption. For a long period of time, we assumed that these costs at the individual level could be internalizied and, thus, raise no cost to the society. In the article published in Sunday's edition of NY Times Greg Mankiw drew parallels between soda and tobacco tax. If individuals consume a lot of cigarettes at home, there is, presumably, no negative externality shifted onto the society. The logic could be applied to soda taxation. However, there is a flip side to the argument. Taxing soda, tobacco and other goods with a negative impact on bystanders is an answer to the growing cost of health care delivery to the individuals who consume these goods. The adverse impact levied on other individuals is seen through higher health insurance premiums and total cost of health care.

John Cawley published an extensive analysis of the causes of early childhood obesity (link), suggesting greater government intervention and various cost-effectiveness measures to mitigate the adverse impact of childhood obesity on other members of the society. A study by Jason M. Fletcher, Daniel Frisvold and Nathan Tefft (link) has been one of the first attempts to measure the effect of vending machines restriction on childhood obesity. The authors concluded by suggesting higher tax rates and soft drink access restrictions in schools to fight the on-going increase in childhood obesity.

As Kelly Brownell of Yale Rudd Center for Food Policy and Obesity mentioned, the link between sugary drinks and obesity is stronger than the link between obesity and any other kind of food (link). The evidence suggests that distance from fast-food restaurant is a significant feature of childhood obesity. A study conducted by Janet Currie et. al (2009) has shown that among children in the 9th grade, a fast-food restaurant within 1/10 of the mile in school is associated with at least 5.2 percent increase in obesity rates (link). The study found that the direct impact of distance from the fast-food restaurant is significantly larger for less educated African-American and less educated women.

The question is whether taxing soda and other kinds of fizzy drinks could potentially reduce and/or reverse the growing trend of obesity. The basic question to start with, is what is the elasticity of demand for soda drinks. The estimates suggests that price elasticity of demand for the majority of soda drinks ranges from -0.8 to -1.0. For example, -1.0 elasticity coefficient suggests that a 10 percent increase in the price of soda would - ceteris paribus - lead to 10 percent decrease in soda drink consumption. The price elasticity of demand for soda drink is relatively high considering that coefficients of price elasticity of demand for other kinds of food ranges from -0.2 to -0.5. If policymakers considered the introduction of a tax on soda consumption, the relevant question is who would bear the burden of the tax? Given elastic demand, the tax would be beared by consumers. However, high price elasticity of demand suggests that there is a widely availible range of close substitutes with potentially negative adverse effects for the individuals. So it is not unlikely that children would switch to other kinds of fast food with equally negative impact on obesity, blood pressure and quality of living.

Given the lack of experiments and availibility of household surveys, it is difficult to estimate the consumer response to the introduction of tax on soda. The estimate of price elasticity of demand suggests that part of the tax would be beared by the consumer. However, it also suggests that a change in the relative price of soda would induce children to consume other varieties of fizzy drinks. Experimental studies by health policy experts suggests different approaches to tackling the adverse impact of soda drinks and other kinds of fast food. The most notable approach is the restriction of vending machines in school districts. However, restricting the access to vending machines would encourage the consumption of fast food outside school districts. A general tax on soda would be preferable to the restrictions of access of vending machines. There is absolutely no doubt that a tax would discourage consumption of soda and other kinds of fast food. Estimates suggest that soda and other kinds of fast food such as hamburgers, donuts and cakes are complementary. Assume, the cross-price elasticity of demand for burgers is -0.9 Thus, if the price per unit os soda increases by 10 percent, the demand for donuts, burgers and cakes decreases by 9 percent (0.9×10 percent). Since a tax on soda would raise the relative price of soda, the consumption of these kinds of fast food would diminish, resulting in less adverse impact of fast food consumption on the individuals. I would disagree with the statement that negative externalities from soda and fast food consumption are internalized by the individual. For example, an article by Trasande, Liu, Fryer and Weitzman (2009) published in Health Affairs (link) investigated the annual cost of childhood obesity in the U.S. between 2001 and 2005, based on the nationally representative data from U.S. hospitals admissions. The authors found that from 1999 to 2005, obesity-related hospitalizations doubled. In addition, costs related to hospitalization, treatment and diagnosis of obesity increased from $125.9 to $237.6 million, an 88.7 percent increase. The cost is partly beared by Medicare while the rest of the total cost is beared by the private insurance premiums.

Given the perverse system of employer-provided health care and implicit subsidizing of health insurance suppliers by the federal government, the periodic increase in obesity-related health care costs indicates a further rise in Medicare expenditures and health insurance premiums. In such conditions, there is little incentive for children and parents to reverse the consumption of soda drinks and fast food. Taxing soda and complementary fast food is a step in the right direction. But it should be noted that the introduction of a tax on soda should be compensated by a corresponding decrease in personal income tax. However, without the parent-guided awareness of the adverse impact of fast food on obesity, it would be difficult to reverse the increasing pattern and cost of childhood and adult obesity. Therefore, much of the obesity-related health care risk in childhood can be solved within the household. It would be irrational and foolish to believe that a tax on soda and government paternalism could solve the obesity puzzle and mitigate its neighborhood effects on bystanders.

THE EUROZONE AS NON-OPTIMUM CURRENCY AREA

In WSJ, Vaclav Klaus, the president of Czech Republic, draw important conclusions from the long-term economic sustainability of the Eurozone (link), arguing that the eurozone is not an optimum currency area as suggested by the famous four criteria from economic theory. In a puzzling essay, Mr. Klaus demarks the eurozone as a monetary union of particular economic viability and, based on the assessment of growth dynamics in Europe, suggests that the eurozone will face a deepening problem in the future.

SLOW GROWTH AND PUBLIC DEBT IN EUROPE

Gary Becker (link) and Richard Posner (link) have initiated an interesting debate on low economic growth as the main macroeconomic concern of European economies in overcoming the increasing burden of public debt.

TAX WEDGE AND PRODUCTIVITY IN OECD COUNTRIES

The OECD Factblog highlighted a comparison of tax burden across the OECD countries. The main findings of the comparison is that overall tax burden, measured as a percentage of labor costs, is the highest in Western European countries. Belgium, Hungary, Germany and France are the countries with the highest overall tax burden while Ireland, Iceland, Australia and Korea have sustained low tax wedge. The data acquired by the OECD pose an intriguing question: is slow economic growth in European countries attributed to high tax burden of labor supply and, if so, has the gap between the U.S. and Europe grown further?

Let's decompose the data and underline the main findings. Tax wedge, measured as a percentage of taxes and transfers paid in the share of total labor costs, is a suficient measure of the overall level of taxation. In the analysis of the effect of taxation on labor supply, the economic theory distinguishes between substitution and income effect. The former means that tax rate on labor supply would reduce the number of working hours and shift the individuals to allocate more time into leisure. The income effect, on the other hand, states that the effect of tax on labor supply would be neutral and would, hence, not have an effect on the relative allocation of resources between working hours and leisure. In general, there are two largely opposing views in economic policy regarding the relationship between taxation and labor supply. Conservative and liberal economists tend to emphasize the role of incentives. Higher tax rate would raise the labor cost and the corresponding decline in wages would be offset by the re-allocation of resources into leisure sector of the economy. Left-wing economists mostly disagree with the abovementioned proposition. Instead, they emphasize the role of elasticity of labor supply. According to New Keynesian view, short-run tax elasticity of labor supply is low in absolute terms, meaning that the amount of working hours does not respond significantly to relative changes in tax rates. The Keynesian economists thus emphasize the significance of income effect while the conservative and liberal economists tend to emphasize the substitution effect. The distinctions and policy effects of these two theoretical propositions remains a controversial issue of economic policy debate.

The country distribution data is extensively underlined in the data (link). For example, one-earner married couple at 100 percent of earnings distribution is taxed at 20 percent of the overall labor cost in the United States, 22 percent in Australia, 18 percent in Switzerland and 13 percent in New Zealand. On the other tax wedge statistics for Western Europe is a completely different picture. In Sweden, one-earner married couple at 100 percent of earnings distribution will earn only 57 percent of net earnings, indicating a 43 percent effective tax rate on labor supply. In Belgium, the effective tax rate on labor supply is 42.6 percent. Is the difference in effective tax rates statistically significant feature of productivity variation across OECD countries. The OECD recently composed a breakdown in key productivity statistics in developed countries (link). To estimate the relationship between productivity and tax burden, I collected data on multifactor productivity dynamics from Groningen Growth and Development Center (link) and data on tax wedge across OECD countries (link). I estimated the noted relationship for 16 developed OECD countries. Multifactor productivity is a dependent variable while tax wedge is an explanatory variable.The estimates are displayed on the graph below.

Multifactor productivity in OECD relative to the U.S. and total tax burden (% of labor cost)

Source: GGDC, OECD Factblog

The horizontal line on the graphs marks the U.S. level of multifactor productivity. As the graph shows, the underlying relationship between multifactor productivity (MFP)and tax wedge is fitted with quadratic equation. Total tax wedge explains about 34.5 percent of the variation in multifactor productivity index across OECD countries. The trend exerts a decreasing MFP as the tax wedge rises and, after reaching a local minimum, a slight increase alongside the proporional rise in tax wedge. The relevant question is at which rate of tax wedge the MFP reaches the minimum. Setting the first-order derivate to zero (dy/dx=0) yields 0.0016x-0.0488=0. Rearranging the equation yields x=30.5. The first-order derivative implies that MFP reaches the minimum at 30.5 percent tax wedge. The estimate sample-based tax elasticity of productivity ((dy/dx)(x/y)) is 1.78. The elasticity indicates that 1 percentage point increase in tax wedge would reduce the multifactor productivity in a sample country by 1.78 percent, ceteris paribus. In other words, the estimated slope coefficient suggests that a 1 percentage point increase in tax wedge would widen the MFP gap between the average country and the US by additional 0.05 index points.

In economic terms, MFP would decrease as long as the countries in the sample would exert less than 30.5 percent tax wedge. In the horizon after the local minimum (30.5 percent), MFP would initially increase but at a smaller rate than before the function would reaches the minimum point. At 20 percent tax wedge (close to Japanese level), the expected decrease in MFP would be 0.0168 index point. At 40 percent tax wedge, the expected increase in MFP would be 0.0152 index point. Economically, the relationship between MFP and tax wedge should not be interpreted as a mixed effect of tax wedge on MFP. In countries, where tax wedge exceeds 30.5 percent (Austria, Denmark, Sweden, Belgium etc.) , the multifactor productivity is close to the U.S. level. The only country with higher MFP level than the United States is Luxembourg. In these countries, the average number of annual hours worked per worker is lower than in the U.S. Hence, hourly productivity output is higher. The following graph illustrates the relationship between annual hours worked (per worker) and MFP level.

Average annual hours worked per worker and multifactor productivity relative to the US

Source: OECD Statistics (2010)

As the graph illustrates, there is a negative relationship between average annual hours worked and MFP. The estimated regression coefficient suggests that an increase in annual hours worked by 100 hours would reduce MFP level (compared to the U.S) by 0.06 index points. As expected, the implied elasticity of productivity is negative. Taking the average values ov both variables, an increase in average annual hours worked (per worker) by 1 percent would reduce the MFP relative to the U.S level by 1.16 percent, ceteris paribus.

The conclusion is that there is a significant and negative impact of tax wedge on multifactor productivity. Taking the differences in annual hours worked into account, tax wedge alone explains almost 35 percent of the differential in multifactor productivity across the OECD. The findings suggest that there is a relatively strong substitution effect in labor supply. The finding is underlined by the fact that higher tax wedge would correspondingly reduce annual hours worked. However, the interpretation should be taken with a grain of warning. As previous empirical studies have shown, there is a widespread disparity in the distribution of working hours in formal and household sector of the economy. A sizeable proportion of working hours in household sector of the economy is not officially measured. Consequently, a blick of distortion of the real relationship between labor supply and tax wedge, in its broadest sense, is a major impediment to the measurement of labor supply dynamics. These estimates will, in a large part, determine the future research of the effect of taxation on labor productivity.

Economic growth and democratic institutions

Professor William Easterly recently presented (link) an intriguing empirical evidence on the relationship between nation's politics and economic growth. In particular, professor Easterly presented data on long-run economic growth and the scope of democracy for a majority of countries between 1960 and 2008. Professor Easterly identified that the highest-growing countries in the world were those with autocratic political regimes. Among ten highest-growing economies between 1960 and 2008, all of them, except for Cyprus, have been characterized by hybrid and autocratic political regimes. On the other hand, ten countries with the lowest growth rates of real GDP per capita between 1960 and 2008 were equally known for authocratic political systems or flawed democracies.

Presumably, the evidence bodes against the recent prediction by Dani Rodrik that authoritarian political regimes ultimately create economic systems vulnerable to external shocks and structural change, thus hampering the prospects of structural change as a neccessary condition for economic development.

To estimate the general pattern of the relationship between economic growth and the nature of political system, I reviewed real per capita GDP growth rates between 1970 and 2007 for a group of 134 countries across the broad spectrum of different levels of GDP per capita. Based on Summers-Heston dataset of real GDP per capita growth rates (link) between the stated time period, I estimated average rates of growth of GDP per capita and collected data from Economist Intelligence Unit on the level of democracy across the world in 2008 (link). The intuition behind this approach is the identification of endogenous and casual direction between the two variables. From the theoretical perspective, it is nonetheless difficult to establish a relationship between the form of government and long-run economic growth. There are at least two possible directions of casuality.

First, the underlying assumption of the relationship could be that systemic changes in political environment are essential to the structural change and, hence, are the main mechanism behind the enforcement of constitutional changes and public policies. The assertion of the underlying theory is that autocratic and authoritarian political system hinder structural changes and the establishment of institutions and democratic governance that is crucial for economic growth. This particular view has been asserted by Dani Rodrik (link), Andrei Shleifer, Florencio Lopez de Silanes and Rafael La Porta (link). While Dani Rodrik's perspective heavily relied on the importance of institutions for long-run economic growth, Shleifer, Lopez de Silanes & La Porta captured the essence of economic development in the legal origins of nations.

Second, the casuality in economic growth and political system could also stem in the opposite direction. The basic underlying assumption could be that higher rates of economic growth encourage systemic changes in the political system and enable the adoption of democratic institutions. The notion of economic growth as the engine of democratic changes has deserved a strong empirical support.

Robert Barro's analysis of long-run economic growth across the world (link) has examined the relationship between the level of democracy and long-run economic growth rate. The empirical evidence suggests a non-linear, inverted-U relationship between democracy and 10-year growth residuals, both coefficients in partial quadratic equation and the partial correlation coefficient being statistically significantly different from zero.

The notion would suggest that as countries depart from a low level of real GDP per capita, the adoption of democratic institutions accelerates economic growth but only up to some point. After the tipping point, the economic outcome of further democratization results in lower growth of real GDP per capita, partly because a high level of democracy tends to promote public policies that diminish growth prospects such as higher tax rates on labor and capital and the redistribution of income, all of which exert a somewhat negative effect on productivity growth and incentives for labor supply and investment.

The first table portrays the distribution of real per capita GDP growth rates across 134 countries between 1970 and 2007. The distributive pattern resembles the properties of normal distribution curves. In fact, the estimated coefficients of skewness and kurtosis suggest a rather very mild departure from the assumption of normality which is of the high importance, especially in testing hypotheses about the effects of explanatory variables on long-run growth dynamics. The normality assumption of normally distributed errors was not tested via normality tests.

Ten highest growing countries in terms of real GDP per capita between 1970 and 2007 are Equatorial Guinea (8.39 percent), Taiwan (5.98 percent), China (5.97 percent), St. Kitts & Nevis (5.49 percent), Botswana (5.45 percent), Bhutan (5.38 percent), Maldives (5.38 percent), Hong Kong (5.37 percent), Macao (5.30 percent) and Singapore (5.29 percent). In real terms, the estimated average real per capita GDP growth rates suggest that it took only 13 years for Singapore's real GDP per capita to double and 21 years to triple. In China, where the estimated average growth rate exceeded Singapore's growth rate only by 0.69 percentage point, it took roughly 11 years for real GDP per capita to double and only 19 years to triple. In the lower tail of growth distribution are mostly countries from Sub-Saharan Africa such as Democratic Republic of Congo, Liberia, Somalia, Central African Republic and Niger. Average real growth rates of GDP per capita of these countries were negative. The negative average real GDP per capita growth rate occured in 11 percent of country observations.

Distribution of economic growth across 134 countries between 1970 and 2007

Source: own estimate based on Summers-Heston dataset

The following graph illustrates the relationship between long-run average growth rates and the level of democracy in 2008 for the entire sample of 134 countries. The attempt to analyze the effect of democracy level on long-run economic growth is based on the notion that democratic institutions elevate economic growth in the longer run. The estimated slope coefficient (0.2277) suggest that a one-point increase in democracy index increases the average long-run per capita GDP growth rate by 0.2277 percentage point controlling for other factors.

Although the cross-country variation in the level of democracy explains only about 9 percent of growth rate variance, and even though the direct effect of democracy on economic growth seems minor and almost non-existent, the estimated sample regression coefficient is statistically significant at 5 percent level. It suggests that the effect of democracy on growth is persistant and evident in the particular sample.

Democracy and average long-run growth rates in a sample of 134 countries

Source: own estimates

Hence, to account for different degree of variation in average real GDP per capita growth rates, I divided the sample into quartiles. The goal of the pursued empirical strategy is to see whether the difference in variance composition between countries with similar growth rates persists. I divided the total sample into four groups: high growth performers (average growth rate higher than 3 percent) moderate growth countries (average growth rate below 3 percent and above 2.05 percent) and low growth countries (average growth rate below 1.09 percent). The next graph shows the relationship between democracy and average real GDP per capita growth rate in high-growth countries between 1970 and 2007. The parameters suggests a different relationship. The estimated slope coefficient is negative (-0.1638), suggesting that a one point increase in democracy index decreases the average real GDP per capita growth rate by about 0.1638 percentage point.

The share of variance explained by the democracy variable increased by 22.5 percent. In the statistical sense, the effect of democracy on economic growth in high-growth countries has been more powerful compared to the total sample. The estimated slope coefficient is statistically significant at 5 percent level. I also estimated beta coefficient (-0.338) to account for the effects of standard deviation increase on the average growth rate in real GDP per capita. The estimated beta coefficient suggests that a one standard deviation increase in democracy level (2.4 points) would, on impact, decrease the average real GDP per capita growth rate by 0.338 standard deviation or 0.394 percentage point in real terms.

From a theoretical perspective, the enforcement of democratic policies in high-growth countries would have a minor negative effect on economic growth, holding all other factors constant. Surprisingly, authortarian regimes previal in 44 percent of countries in the high-growth sample. Thus, the hypothetically negative effect of democracy on economic growth is evident but it is far from significantly negative.

Democracy and average long-run growth rates in high-growth countries

Source: own estimates based on Summers-Heston and EIU datasets

The next graph portrays the relationship between democracy and average real GDP per capita growth rates in low-growth countries. Contrary to the sample estimate in high-growth country group, the effect of democracy on real GDP per capita growth rate is positive and persistent. The correlation coefficient is positive and moderate (0.458) and statistically significant at 1 percent level. The beta coefficient (0.458) from the regression specification suggests that a one standard deviation increase in democracy level (cca. 1.497 points) would raise the average real GDP per capita growth rate on impact by 0.458 standard deviation or 0.382 percentage point, ceteris paribus. In fact, the variability in level of democracy explains 21.1 percent of the variance of average per capita GDP real growth rates. The estimated slope coefficient is statistically significant at 2.1 percent level and 0.6 percent level, suggesting a very low probability of rejecting the null hypothesis and a strong influence of democratic institutions on economic growth in the long run.

Democracy and average long-run growth rates in low-growth countries

Source: own estimate based on Summers-Heston and EIU datasets

In the next subsample, I jointly added high-growth and low-growth countries in the single sample and changed the casual direction. The underlying assumption is that democracy level is endogenously determined by the long-run average real GDP per capita growth rate. In real terms, I assumed that the public choice of political institutions across the world depend on the real GDP growth rate. Hence, I estimated the relationship by including the squared term in the regression equation. The estimated slope coefficients suggest a typical inverted-U relationship between real GDP per capita growth rate and the level of democracy. The real GDP per capita growth rate alone explains 30.6 percent of the cross-country variaton in the level of democracy. Intuitively, the results suggest that there exists an optimum level of real GDP per capita growth that maximizes the level of institutional democracy.

Differentiating the conditional expectation function of the level of democracy with respect to the real GDP per capita growth rate yields the partial derivate dy/dx = -(ß2/2ß3). Plugging the two coefficients in the partial derivate yields 3.65. Thus, the growth rate of real GDP per capita that maximizes the level of institutional democracy is 3.65 percent. Hence, both coefficients are statistically significant. The p-values are 0.000 suggesting a zero probability of rejecting a null hypothesis when it is, in fact, true - and a strong predictive influence of both variables on the expected level of democracy.

The effect of long-run economic growth on democratic institutions in high-growth and low-growth countries

Source: own estimates based on Summers-Heston and EIU datasets

Countries with the comparable growth rate are Iceland, Ireland, Trinidad & Tobago and Spain. Except for Trinidad & Tobago, none of these countries is either flawed democracy or an authoritarin political regime. Therefore, the expected level of democracy is low in countries where the average growth rate of GDP per capita is either very low or negative or very high.

Hypothetically, the conditional pattern of real per capita GDP growth supports the notion that the highest-growing countries in the 20th century such as Singapore, Taiwan and Botswana had a relatively low level of democracy and a significant degree of political authoritarianism. In addition, countries with the lowest growth rate of real GDP per capita such as Liberia, Sierra Leone and Somalia were also authoritarian political regimes. The predictive power of the regression equation is reasonably high since more than 30 percent of the variance of the level of democracy is explained by a non-linear shifts in the long-run average real GDP per capita growth rate.

Democracy is a controversial question of the modern theory of economic growth. Indeed, the empirical evidence suggests that the highest growth rates were achieved in those countries with a considerable degree of political dictatorship. However, the lowest long-run growth rates of real GDP per capita were achieved by countries in which political dictatorship prevails. The pattern suggest that the quality of institutions such as the rule of law, judicial independence and a constitutional democracy complement the significance of human capital which is the essential engine of long-run economic growth.

The most important growth engine of the highest growing countries such as East Asian tigers and Ireland has been the emphasize on human capital that resulted in a high level of knowledge intensity and high productivity growth rate. These countries were known for heavy doses of state interventionism aimed towards the implementation of industrial policy conducive to economic growth. However, the conclusion should be taken with caution. Political dictatorship or authoritarianism were detrimental to least-developed countries since it encouraged predatory political behavior and resulted in the political environment with a complete absence of the rule of law, judicial independence, protection of private property rights, institutional integrity and constitutional democracy.

The question which set of growth policies is essential to high long-run growth of real GDP per capita involves two answers. First, the primacy of institutional quality alongside the investment in human capital is by far the most important engine of long-run economic growth. Without first-class institutions and human capital, the vicious circle of poverty and social deprivation for less developed nations can be endless. And second, the components of constitutional democracy such as electoral rights and pluralism, good functioning of government, high level of political culture and civil liberties can deliberately increase the prospects of economic growth.

However, if the power of state is left unrestrained by the absence of the rule of law and a coherent set of checks and balances on the coercive strenght of redistributive interest groups, even a high level of democracy would not alleviate the persistence of poverty and weak structural indicators. On the contrary, it would only worsen the prospects of long-run economic growth.