This paper proposes a particular axiomatic approach to motivate the choice of functional forms and distribution of unobservables in continuous time models for discrete panel data analysis. We discuss in particular applications with data on transitions between employment and unemployment. This framework yields a characterization of transition probabilities and duration distributions in terms of structural parameters of the utility function and choice constraints. Moreover, it is discussed how the modeling framework can be extended to allow for involuntary transitions, structural state dependence and random effects.
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Paper provided by Oslo University, Department of Economics in its series Memorandum with number
06/2006.
Find related papers by JEL classification: C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis
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