Returns to Schooling in Russia and Ukraine: A Semiparametric Approach to Cross-Country Comparative Analysis

n Russia and Ukraine (1985-2002). There has been an increase in returns to schooling in both countries but the increase is much bigger in Russia than in Ukraine. The intriguing question is why returns to schooling in Russia and Ukraine diverged so much over the transition period while the skill composition of employment did not. Our approach in analyzing the sources of cross-country differences in returns to schooling is to compare the Mincerian earnings functions between the two countries and then to employ decomposition techniques. Using semiparametric methods, we construct counterfactual wage distributions for university and secondary school graduates for Ukraine using the distributions of Russian characteristics, returns to characteristics, and unobservables. This allows us to decompose differences in returns to schooling between the two countries due to differences in the labor market returns (price effect), differences in unobservables (residual effect), and differences in the labor force composition (composition effect). We conclude that of these three effects the price effect makes a major contribution to the observed differences in the returns to schooling.http://deepblue.lib.umich.edu/bitstream/2027.42/40105/3/wp719.pd

Skill-Biased Transition: The Role of Markets, Institutions, and Technological Change

This study attempts to explain why the transition to a market economy is skill-biased. It shows unequivocal evidence on increased skill wage premium and supply of skills in transition economies. It examines whether similar skill–favoring shifts in the Russian and U.S. economies are driven by the same set of factors. Our analysis elaborates on the model of alternative theories of the increased wage skill premium and then evaluates three main hypotheses: skillbiased technological change, the market adjustment hypothesis, and the institutional factor hypothesis. To test these hypotheses, the study uses unique linked employer-employee data that spans the 16 years of the Soviet and transition periods in Russia (1985-2000), with a special emphasis on data quality, measurement errors, and retrospective biases. The main conclusion is that there is no uni-causal and time-invariant explanation for skill-biased changes in wages and employment in the Russian economy. The increased skill wage premium has been driven mainly by institutional factors during the early period and by productivity and technological change during the late transition period, and reinforced by market adjustment of wage ratio to the true differences in labor productivity.http://deepblue.lib.umich.edu/bitstream/2027.42/40002/3/wp616.pd

Income Tax Flattening: Does It Help to Reduce the Shadow Economy?

This paper examines the effect of global transition to simpler, flatter income tax systems on the size of the shadow economy. By offering a new estimation framework, the paper revives the traditional electricity consumption approach to measuring the shadow economy. It overcomes the limitations of previous literature by using a new functional form, better quality data, a larger sample of 170 countries, a longer time span of 25 years, a panel framework, and instrumental variables. Our analysis provides strong evidence of a positive relationship between income tax rates and the size of the shadow economy. The effects of structural progressivity and complexity of national tax schedules are also found to be positive and statistically significant. These positive effects are reinforced when tax changes are accompanied by improving government services and strengthening the legal system. The flat tax is estimated to reduce the shadow economy in the short run, but this effect diminishes and disappears in the long run.shadow economy, tax evasion, personal income tax, corporate income tax, flat tax, structural progressivity, tax complexity, electricity approach, institutions

Returns to Schooling in Russia and Ukraine: A Semiparametric Approach to Cross-Country Comparative Analysis

n Russia and Ukraine (1985-2002). There has been an increase in returns to schooling in both countries but the increase is much bigger in Russia than in Ukraine. The intriguing question is why returns to schooling in Russia and Ukraine diverged so much over the transition period while the skill composition of employment did not. Our approach in analyzing the sources of cross-country differences in returns to schooling is to compare the Mincerian earnings functions between the two countries and then to employ decomposition techniques. Using semiparametric methods, we construct counterfactual wage distributions for university and secondary school graduates for Ukraine using the distributions of Russian characteristics, returns to characteristics, and unobservables. This allows us to decompose differences in returns to schooling between the two countries due to differences in the labor market returns (price effect), differences in unobservables (residual effect), and differences in the labor force composition (composition effect). We conclude that of these three effects the price effect makes a major contribution to the observed differences in the returns to schooling.returns to schooling, earnings function, semiparametric approach, decomposition, counterfactual, cross-country analysis, retrospective data, transition, Russia, Ukraine

Compensating Differentials in Emerging Labor and Housing Markets: Estimates of Quality of Life in Russian Cities

The existence of compensating differentials in Russian labor and housing markets is examined using data from the Russian Longitudinal Monitoring Survey (RLMS) augmented by city and regional-specific characteristics from other sources. While Russia is undergoing transition to a market economy, we find ample evidence that compensating differentials for location-specific amenities exist in the labor and housing markets. Our estimated wage and housing value equations suggest that workers are compensated for differences in climate, environmental conditions, ethnic conflicts, crime rates, and health conditions, after controlling for worker characteristics, occupation, industry, and economic conditions, and various housing characteristics. Moreover, we find evidence that these compensating differentials exist even after controlling for the regional pay differences (“regional coefficients”) used by the Russian government to compensate workers for living in regions that are designated as less desirable. We rank 953 Russian cities by quality of life as measured by a group of eleven amenities. Sizable variation in the estimated quality of life across cities exists. The highest ranked cities tend to be in relatively warm areas and areas in the western, European part of the country. In addition, our quality of life index is positively correlated with net migration into a region, suggesting workers are attracted to amenity-rich locations. Overall, we find that sufficient market equilibrium exists and a model of compensating differentials with controls for disequilibrium yields useful information about values of location-specific amenities and quality of life in this large transition economy.http://deepblue.lib.umich.edu/bitstream/2027.42/40006/2/wp620.pd