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

Worker Training in a Restructuring Economy: Evidence from the Russian Transition

We use 1994-1998 data from the Russian Longitudinal Monitoring Survey (RLMS) to measure the incidence and determinants of several types of worker training and to estimate the effects of training on workers' interindustry, interfirm, and occupational mobility, their labor force transitions, and their wage growth in Russia compared to the U.S. We hypothesize that the shock of economic liberalization in Russia may raise the benefits of training, particularly retraining for new jobs, but uncertainty concerning the revaluation of skills may raise the costs, with an overall ambiguous effect on the amount of training undertaken. The RLMS indicates a lower rate of formal training than studies have found for the U.S., suggesting that the second effect dominates. Previous schooling is estimated to affect the probability of training positively, but the relationship is much stronger for additional training in the same field than for retraining for new fields, consistent with the hypothesis that schooling and training are complementary but become more substitutable in a restructuring environment. Foreign ownership of the firm also positively affects the probability of undertaking training, providing evidence of active restructuring by foreigner investors. Additional training in workers' current fields is estimated to reduce mobility and earnings, suggesting inertial programs from the pre-transition era. Retraining in new fields increases all types of worker mobility and has higher returns than those typically observed for training in the U.S., but it also raises the variance of earnings and the probability of employment, consistent with a search view of such retraining. Given the large returns to retraining, the efforts of Russian workers to learn new skills may increase as uncertainty is resolved and restructuring proceeds.http://deepblue.lib.umich.edu/bitstream/2027.42/39715/3/wp331.pd