In the last twenty years there has been an explosion of economic research on labour force dynamics. This book focuses on the methods by which behavioural theories of labour force dynamics have been empirically implemented.

In the last twenty years there has been an explosion of economic research on labor force dynamics; the movement of individuals between labor force states. This book focuses on the methods by which behavioral theories of labor force dynamics have been empirically implemented. Most attention is paid to the partial equilibrium two-state transitional model of job search behavior. That model is the foundation for much of our thinking about the nature of unemployment at both the individual and aggregate levels. Although the basic formulation has remained the same, approaches to the empirical implementation of such models has changed dramatically.

This paper presents new econometric methods for the empirical analysis of individual labor market histories. The techniques developed here extend previous work on continuous time models in four ways: (1) A structural economic interpretation of these models is presented. (2) Time varying explanatory variables are introduced into the analysis in a general way. (3) Unobserved heterogeneity components are permitted to be correlated across spells. (4) A flexible model of duration dependence is presented that accommodates many previous models as a special case and that permits tests among competing specifications within a unified framework. We contrast our methods with more conventional discrete time and regression procedures. The parameters of continuous time models are in- variant to the sampling time unit used to record observations. Problems plague the regression approach to analyzing duration data which do not plague the likelihood approach advocated in this paper. The regression approach cannot be readily adopted to accommodate time varying explanatory variables. The functional forms of regression functions depend on the time paths of the explanatory variables. Ad hoc solutions to this problem can make exogenous variables endogenous to the model and so can induce simultaneous equations bias. Two sets of empirical results are presented. A major conclusion of the first analysis is that the discrete time Markov model widely used in labor market analysis is inconsistent with the data. The second set of empirical results is a test of the hypothesis that "unemployment" and "out of the labor force" are behaviorally different labor market states. Contrary to recent claims, we find that they are separate states for our sample of young men

This innovative text grounds the economic analysis of labor markets and employment relationships in a unified theoretical treatment of labor exchange conditions. In addition to providing thorough coverage of standard topics including labor supply and demand, human capital theory, and compensating wage differentials, the text draws on game theory and the economics of information to study the implications of key departures from perfectly competitive labor market conditions. Analytical results are consistently applied to contemporary policy issues and empirical debates. Provides a coherent theoretical framework for the analysis of labor market phenomena Features graphical in-chapter analysis supplemented by technical material in appendices Incorporates numerous end-of-chapter questions that engage the analysis and anticipate subsequent results Includes innovative chapters on employee compensation methods, market segmentation, income inequality and labor market dynamics Balances theoretical, empirical and policy analysis

This paper proposes a hidden state Markov model (HMM) that incorporates workers’ unobserved labor market attachment into the analysis of labor market dynamics. Unlike previous literature, which typically assumes that a worker’s observed labor force status follows a first-order Markov process, the proposed HMM allows workers with the same labor force status to have different history-dependent transition probabilities. I show that the estimated HMM generates labor market transition probabilities that match those observed in the data, while the first-order Markov model (FOM) and its many-state extensions cannot. Even compared with the extended FOM, the HMM improves the fit of the empirical transition probabilities by a factor of 30. I apply the HMM to (1) calculate the long-run consequences of separation from stable employment, (2) study evolutions of employment stability across different demographic groups over the past several decades, (3) compare the dynamics of labor market flows during the Great Recession to those during the 1981 recession, and (4) highlight the importance of looking beyond distributions of current labor force status.

Presenting a complete survey of labor economics from the search point of view, this is the first book to coordinate a vast and scattered literature, making an increasingly important and sophisticated area in modern applied economics readily accessible. Completely comprehensive, Empirical Labor Economics covers not only sequential and random search, but all stochastic models of the labor market, and treats underlying economic theory and econometric methods as needed. It examines structural search models, studies directed at particular policy questions--such as the effect of unemployment benefits on unemployment durations--and simple descriptive studies, considering data from all over the world. With valuable summaries and trenchant assessments of the strengths and weaknesses of the search approach, Empirical Labor Economics is essential for those embarking on labor market research.