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We examine the remarkable rise in absenteeism among Norwegian employees since the early 1990's, with particular emphasis on disentangling the roles of cohort, age, and time. Based on a fixed effects model, we show that individual age-adjusted absence propensities have risen even more than...
Persistent link: https://www.econbiz.de/10013139712
Based on comprehensive administrative register data from Norway, we examine the determinants of sickness absence behavior; in terms of employee characteristics workplace characteristics, panel doctor characteristics, and economic conditions. The analysis is based on a novel concept of a worker's...
Persistent link: https://www.econbiz.de/10013158659
Consider a setting where a treatment that starts at some point during a spell (e.g. in unemployment) may impact on the hazard rate of the spell duration, and where the impact may be heterogeneous across subjects. We provide Monte Carlo evidence on the feasibility of estimating the distribution...
Persistent link: https://www.econbiz.de/10013147121
We examine empirically the impacts of labor market policies - in terms of unemployment insurance (UI) and active labor market programs (ALMP) - on the duration and outcome of job search and on the quality of a subsequent job. We find that time invested in job search tends to pay off in the form...
Persistent link: https://www.econbiz.de/10003751937
In recent years, a number of welfare state economies, including Norway, have experienced substantial increases in sickness absence. Using longitudinal individual register data for virtually all Norwegian employees, we examine the remarkable rise since the early 1990s, with emphasis on...
Persistent link: https://www.econbiz.de/10010993478
We present new Monte Carlo evidence regarding the feasibility of separating causality from selection within non-experimental interval-censored duration data, by means of the nonparametric maximum likelihood estimator (NPMLE). Key findings are: i) the NPMLE is extremely reliable, and it...
Persistent link: https://www.econbiz.de/10005207301
A new algorithm is proposed for OLS estimation of linear models with multiple high-dimensional category variables. It is a generalization of the within transformation to arbitrary number of category variables. The approach, unlike other fast methods for solving such problems, provides a...
Persistent link: https://www.econbiz.de/10010871434
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