Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in An Empirical Assessment of Assortative Matching in the Labor MarketRute Mendes Gerard J. van den Berg Maarten Lindeboom The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit company supported by Deutsche Post World Net. The center is associated with the University of Bonn and offers a stimulating research environment through its research networks, research support, and visitors and doctoral programs. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. In labor markets with worker and firm heterogeneity, the matching between firms and workers may be assortative, meaning that the most productive workers and firms team up. We investigate this with longitudinal population-wide matched employer-employee data from Portugal. Using dynamic panel data methods, we quantify a firm-specific productivity term for each firm, and we relate this to the skill distribution of workers in the firm. We find that there is positive assortative matching, in particular among long-lived firms. Using skill-specific estimates of an index of search frictions, we find that the results can only to a small extent be explained by heterogeneity of search frictions across worker skill groups. JEL Classification:J21, J24, D24, J63
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Job Durations with Worker and Firm Specific Effects: MCMC Estimation with Longitudinal Employer-Employee DataGuillaume Horny Rute Mendes Gerard J. van den Berg The Institute for the Study of Labor (IZA) in Bonn is a local and virtual international research center and a place of communication between science, politics and business. IZA is an independent nonprofit organization supported by Deutsche Post Foundation. The center is associated with the University of Bonn and offers a stimulating research environment through its international network, workshops and conferences, data service, project support, research visits and doctoral program. IZA engages in (i) original and internationally competitive research in all fields of labor economics, (ii) development of policy concepts, and (iii) dissemination of research results and concepts to the interested public. D I S C U S S I O N P A P E R S E R I E SIZA Discussion Papers often represent preliminary work and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be available directly from the author. We study job durations using a multivariate hazard model allowing for worker-specific and firm-specific unobserved determinants. The latter are captured by unobserved heterogeneity terms or random effects, one at the firm level and another at the worker level. This enables us to decompose the variation in job durations into the relative contribution of the worker and the firm. We also allow the unobserved terms to be correlated. For the empirical analysis we use a Portuguese longitudinal matched employer-employee data set. The model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) estimation method. The results imply that firm characteristics explain around 30% of the variation in log job durations. In addition, we find a positive correlation between unobserved worker and firm characteristics. JEL Classification:C11, C15, C41, J20, J41, J62
Inmates are highly exposed to mental and physical disorders. Therefore, periodic screening of their mental health and other health risks is required. This study aims to investigate the perceived fear of COVID-19 and the psychological impact of the pandemic in a sample of young adult male inmates. An institutional-based quantitative cross-sectional study design was performed. Data collection took place from July to September 2022 at a juvenile prison in the central region of Portugal. Data were collected using questionnaires on demographic and health characteristics; fear of COVID-19; depression, anxiety and stress levels; and resilient coping. The sample included 60 male inmates imprisoned for over 2 years. Stress was the most common symptom among inmates (75%), followed by anxiety (38.3%) and depression (36.7%). The mean score on the Fear of COVID-19 Scale was 17.38 ± 4.80, indicating relatively low fear levels. Low resilient scores were found in 38 participants (63.3%). Participants reported moderately high ranges of 3.62 ± 0.87 regarding mental health perception, 3.73 ± 0.95 for physical health perception, and 3.27 ± 0.82 for global health concerning the previous month. The Pearson correlation matrix indicated significant and moderate to strong correlations between fear of COVID-19 and mental health-related variables (p < 0.001). The predicting factors of fear of COVID-19 were identified by deploying a multiple linear regression model. We found four predictors: age, perception of mental health, and overall levels of anxiety and stress (R2 = 0.497). Fear of a given scenario or factor may shift with time. Therefore, long-term research is needed to evaluate whether fear of COVID-19 is adaptive or long-reactive in victims. Our study can assist policymakers, mental health and public health experts, and others in recognizing and managing pandemic-related fears and mental health symptoms.
Job Durations with Worker and Firm Specific Effects: MCMC Estimation with Longitudinal Employer-Employee Data *We study job durations using a multivariate hazard model allowing for worker-specific and firm-specific unobserved determinants. The latter are captured by unobserved heterogeneity terms or random effects, one at the firm level and another at the worker level. This enables us to decompose the variation in job durations into the relative contribution of the worker and the firm. We also allow the unobserved terms to be correlated. For the empirical analysis we use a Portuguese longitudinal matched employer-employee data set. The model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) estimation method. The results imply that firm characteristics explain around 30% of the variation in log job durations. In addition, we find a positive correlation between unobserved worker and firm characteristics.
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