In the Lucas-Rapping (1969) model of the labour market, fluctuations in unemployment represent individuals optimally adjusting their labour supply behaviour in response to fluctuations in wage rates over the business cycle. In this paper I propose and implement a misspecification test of the Lucas-Rapping treatment of unemployment as labour supply behaviour using panel data. This test extends previous such work with micro data by simultaneously allowing for intertemporal substitution, uncertainty and endogenous unemployment. Using the standard specification of intertemporal labour supply behaviour, I find strong evidence against this interpretation of unemployment. There are two possible interpretations of the test results. The first is that it is necessary to turn to alternative models of the labour market in which unemployed workers are off a supply function. The second is that the test results indicate the necessity of moving to more complex models of intertemporal substitution. However, given current econometric techniques and data sets, these alternative models of intertemporal substitution will be extremely difficult to test.

This study proposes and implements a method of labour supply estimation which is appropriate when the sample contains unemployed and underemployed workers. The estimation method consists of excluding unemployed and underemployed workers from the sample and then using (to avoid selection bias) an extension of Heckman's approach to the case where two correlated selection rules generate the sample. Hausman's specification test is then used to determine whether ignoring constrained workers has led to biases in traditional labour supply estimates, and the empirical results suggest that previous estimates of several important parameters are biased. Since the biases go in the direction that would be predicted by the hypothesis that the unemployed and underemployed are constrained, the results support this hypothesis.

In a 2014 paper, Garthwaite, Gross, and Notowidigdo examined the employment impact of the 2005 TennCare contraction. We extend their approach in several directions. First, we use consistent Conley-Taber estimation. Second, we transform their estimates to make them comparable to previous work; the transformed effects have large confidence intervals. We estimate their models using several larger data sets in an attempt to get more precise estimates but find that the results can be quite different. We consider two modifications to account for a major disruption to coverage in 2002, and one of these reduces the differences in the results.

A model of unemployment duration is estimated with weekly micro data on Canadian men. Ent itlement provisions in the unemployment insurance program and demand conditions are found to have a significant effect on the probability of leaving unemployment. The probability of a worker leaving unemploy ment declines with the duration of unemployment, holding unemployment insurance entitlement constant. When entitlement is allowed to vary, the probability of leaving first falls and then generally rises with unemployment duration. These results are robust with respect to allo wing for person-specific unobserved heterogeneity and alternative spe cifications of duration dependence.

Using data on adult male workers, we first investigate the incremental effect of 1 year of schooling on unemployed hours and use this calculation to explain the difference in the proportional effects of schooling on earnings and wages. Schooling apparently reduces unemployed hours by reducing the incidence of unemployment spells, but it does not significantly affect their duration. We next test whether unemployed hours represent real constraints on worker behavior. To do this we develop and estimate life-cycle models of labor supply for workers with and without spells of unemployment, using longitudinal data. The results imply that perhaps three-quarters of the unemployed hours of male workers are part of the offer to sell labor.

Using data on adult male workers, we first investigate the incremental effect of 1 year of schooling on unemployed hours and use this calculation to explain the difference in the proportional effects of schooling on earnings and wages. Schooling apparently reduces unemployed hours by reducing the incidence of unemployment spells, but it does not significantly affect their duration. We next test whether unemployed hours represent real constraints on worker behavior. To do this we develop and estimate life-cycle models of labor supply for workers with and without spells of unemployment, using longitudinal data. The results imply that perhaps three-quarters of the unemployed hours of male workers are part of the offer to sell labor.

We present new tests of three theories of the labor market: intertemporal substitution, hours restrictions, and implicit contracts. The intertemporal substitution test we implement is an exclusion test robust to many specification errors and we consistently reject this model. We model hours restrictions as part of an endogenous switching model. We compare the implicit probit equation to an unrestricted probit equation for unemployment and reject the hours restriction model. For the implicit contracts model, we estimate nonseparable within-period labor-supply and consumption equations. We test a cross-equation restriction of the model and cannot reject the implicit contracts model.

This article investigates the effect of external, national, and sectoral shocks on Canadian employment fluctuations at the national, industrial, and provincial levels. We assume that employment growth in each industry-province pair depends on U.S. growth, lagged Canadian growth at the national, industrial, and provincial levels, an aggregate shock, and shocks specific to each industry, province, and industry-province pair. We estimate that the U.s. and Canadian shocks account for two-thirds and a quarter, respectively, of aggregate variation. Sectoral shocks account for only one-tenth of aggregate variation but represent 30% of the variation from Canadian sources.