@TechReport{iza:izadps:dp1850,
            	author={Fougère, Denis and Kamionka, Thierry},
            	title={Econometrics of Individual Labor Market Transitions},
            	year={2005},
	month={Nov},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={1850},
            	url={https://www.iza.org/publications/dp1850},
	abstract={This survey is devoted to the modelling and the estimation of reduced-form transition models, which have been extensively used and estimated in labor microeconometrics. The first section contains a general presentation of the statistical modelling of such processes using continuous-time (event-history) data. It also presents parametric and nonparametric estimation procedures, and focuses on the treatment of unobserved heterogeneity. The second section deals with the estimation of markovian processes using discrete-time panel observations. Here the main question is whether the discrete-time panel observation of a transition process is generated by a continuous-time homogeneous Markov process. After discussing this problem, we present maximum-likelihood and bayesian procedures for estimating the transition intensity matrix governing the process evolution. Particular attention is paid to the estimation of the continuous-time mover-stayer model, which is the more elementary model of mixed Markov chains. },
	keywords={unobserved heterogeneity;labor market transitions;markovian processes;mover-stayer model},
            }