Unemployment Compensation And Labour Market Transitions

This volume contains seven original and innovative articles which analyze labor market transitions, how individuals progress from school to work, choose a particular occupation, move up the job ladder, and finally withdraw from the workforce to retirement. Investigations are done by race and gender; and social implications are examined.

This paper develops an algorithm for analyzing discrete events, such as labor market transitions, when some of these transitions are spurious because of measurement errors. Our algorithm extends the standard multinomial logit model, although our basic approach could be used with other stochastic models as well. We apply this algorithm to study the effect of unemployment insurance (UI) on transitions from unemployment to employment and out of the labor force. Our results suggest that VI lengthens unemployment spells by reducing both transition rates, and show that correcting for measurement error strengthens the apparent effect of VI on spell durations.

This paper studies interactions between labor market institutions and unemployment dynamics in transition economies. It presents a dynamic matching model in which state sector firms endogenously shed labor and private job creation takes time. Two main conclusions arises. First, higher unemployment benefits increase steady-state unemployment, and, during the transition, they reduce the fall in real wages and speed up closure of state enterprises. Second, higher minimum wages can theoretically speed up the elimination of state sector jobs without affecting steady-state unemployment. These results are broadly consistent with existing evidence on the dynamics of unemployment and real wages in transition economies.

The emergence of open unemployment is an unavoidable consequence of postcommunist transition. Some countries-notably in the former Soviet Union-initially slowed economic contraction. But in the longer run slower reformers have generally sustained deeper and more prolonged recessions than faster reforming central European countries. Moreover, the initially low unemployment rates in the former Soviet Union are now rising, and may stabilise at higher post-transition equilibrium rates than in Central Europe.

This paper develops an algorithm for analyzing discrete events, such as labor market transitions, when some of these transitions are spurious because of measurement errors. Our algorithm extends the standard multinomial logit model, although our basic approach could be used with other stochastic models as well. We apply this algorithm to study the effect of unemployment insurance (UI) on transitions from unemployment to employment and out of the labor force. Our results suggest that VI lengthens unemployment spells by reducing both transition rates, and show that correcting for measurement error strengthens the apparent effect of VI on spell durations.