Female labor force participation and the big five

This paper investigates the relationship between personality traits and female labor force participation. While research on the role of cognitive skills for individual labor market success has a long tradition in economics, comparatively little is known about the channels through which non-cognitive skills affect individual labor market behavior. There is striking evidence that personality traits play a major role in explaining individual differences in school attendance and school performance. However, comparatively little is known about how and which personality traits effect labor supply decisions. In this paper, we relate personality traits to preference parameters using a conventional structural framework of labor force participation. This allows us to separate the direct effects of personality traits affecting the individual participation decision through different individual preferences from the indirect effects through wages. We can show that personality traits play an important role in the female labor force participation decision. The channels through which personality traits effect labor force participation are manifold and depend on the specific trait. Aggregation of traits to a single index is therefore a suboptimal strategy. --personality traits,female labor supply,wages

Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis

We consider an extension of conventional univariate Kaplan-Meier type estimators for the hazard rate and the survivor function to multivariate censored data with a censored random regressor. It is an Akritas (1994) type estimator which adapts the nonparametric conditional hazard rate estimator of Beran (1981) to more typical data situations in applied analysis. We show with simulations that the estimator has nice finite sample properties and our implementation appears to be fast. As an application we estimate nonparametric conditional quantile functions with German administrative unemployment duration data. --nonparametric estimation,censoring,unemployment duration

Simple nonparametric estimators for unemployment duration analysis

"We consider an extension of conventional univariate Kaplan-Meier type estimators for the hazard rate and the survivor function to multivariate censored data with a censored random regressor. It is an Akritas (1994) type estimator which adapts the nonparametric conditional hazard rate estimator of Beran (1981) to more typical data situations in applied analysis. We show with simulations that the estimator has nice finite sample properties and our implementation appears to be fast. As an application we estimate nonparametric conditional quantile functions with German administrative unemployment duration data." (Author's abstract, IAB-Doku) ((en)) Additional Information Appendix for the FDZ-Methodenreport No. 09/2007: Programme.zipArbeitslosigkeitsdauer, Schätzung - Methode, IAB-Beschäftigtenstichprobe

Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis

The paper analyses the potential impact of stock market developments on lending behaviour from different perspectives. First we scrutinize the impact of stock market movements on the banks? and on the borrowers? balance sheets. Subsequently we estimate aggregate credit supply and demand functions including a stock market indicator as explanatory variable. The analysis reveals no major importance of the bank balance sheet channel for the relationship between stock market volatility and corporate financing possibilities of non-financial companies. A possible impact of stock market movements on banks´ lending behaviour might be rooted in their impact on the balance sheets of corporate borrowers. The empirical results of the credit market analysis yield some confirming evidence for an impact of stock market developments. However, the results are not very stable and depend on the specification of the model and on the time period under observation. --

On the definition of unemployment and its implementation in register data : the case of Germany

"Unemployment information in individual level register data depends on institutional settings, administrative procedures and which registers are merged. In this paper we suggest different implementation strategies for common international and German legal unemployment definitions for the Sample of the Integrated Employment Biographies (IEBS). The IEBS belongs to a new generation of German merged register data that is more comprehensive than previous data sets. Our descriptive figures show large differences in the number of spells and the unemployment duration across implementations. This suggests that empirical results of labour market research are likely to depend on the underlying legal definition of unemployment and its implementation in this data." (Author's abstract, IAB-Doku) ((en)) Additional Information Supplementary descriptive statistics for the FDZ-Methodenreport No. 03/2007 Appendix for the FDZ-Methodenreport No. 03/2007: Do-files.zipArbeitslosigkeit - Begriff, amtliche Statistik, prozessproduzierte Daten, Integrierte Erwerbsbiografien, Arbeitslosigkeitsdauer, Arbeitslosigkeit - Messung, registrierte Arbeitslosigkeit, Forschungsdatenzentrum, statistische Methode, Reliabilität, Validität, Arbeitslosenquote, Arbeitslosenstatistik, stille Reserve - Begriff, Datenqualität, OECD, ILO, Bundesrepublik Deutschland

On the Definition of Unemployment and its Implementation in Register Data: The Case of Germany

Unemployment information in individual level register data depends on institutional settings, administrative procedures and which registers are merged. In this paper we suggest different implementation strategies for common international and German legal unemployment definitions for the Sample of the Integrated Employment Biographies (IEBS). The IEBS belongs to a new generation of German merged register data that is more comprehensive than previous data sets. Our descriptive figures show large differences in the number of spells and the unemployment duration across implementations. This suggests that empirical results of labour market research are likely to depend on the underlying legal definition of unemployment and its implementation in this data. --unemployment duration,merged administrative individual data,Germany,Stata

Simple nonparametric estimators for unemployment duration analysis

"We consider an extension of conventional univariate Kaplan-Meier type estimators for the hazard rate and the survivor function to multivariate censored data with a censored random regressor. It is an Akritas (1994) type estimator which adapts the nonparametric conditional hazard rate estimator of Beran (1981) to more typical data situations in applied analysis. We show with simulations that the estimator has nice finite sample properties and our implementation appears to be fast. As an application we estimate nonparametric conditional quantile functions with German administrative unemployment duration data." (author's abstract

Which factors safeguard employment? : An analysis with misclassified German register data

"We analyse the main determinants for job separation with transition to unemployment using individual administrative data from Germany. While the sample size is large and the information in target variables is often highly accurate, non-target variables are subject to considerable measurement error due to a lack of relevance for the data generating process. We show that the high degree of misclassification can even persist after comprehensive logical editing and imputation rules were applied. We find that the measurement error has a sizable effect on our estimation results. Long tenure rather than a higher educational qualification appears to be the key ingredient for a safe job in Germany." (Author's abstract, IAB-Doku) ((en)) Additional Information Appendix for the FDZ-Methodenreport No. 11/2010: ProgramsBeschäftigungsdauer, Beschäftigungssicherung - Determinanten, Datengewinnung, Datenaufbereitung, Datenqualität

On the definition of unemployment and its implementation in register data: the case of Germany

"Unemployment information in individual level register data depends on institutional settings, administrative procedures and which registers are merged. In this paper we suggest different implementation strategies for common international and German legal unemployment definitions for the Sample of the Integrated Employment Biographies (IEBS). The IEBS belongs to a new generation of German merged register data that is more comprehensive than previous data sets. Our descriptive figures show large differences in the number of spells and the unemployment duration across implementations. This suggests that empirical results of labour market research are likely to depend on the underlying legal definition of unemployment and its implementation in this data." (author's abstract

Female labor force participation and the big five

This paper investigates the relationship between personality traits and female labor force participation. While research on the role of cognitive skills for individual labor market success has a long tradition in economics, comparatively little is known about the channels through which non-cognitive skills affect individual labor market behavior. There is striking evidence that personality traits play a major role in explaining individual differences in school attendance and school performance. However, comparatively little is known about how and which personality traits effect labor supply decisions. In this paper, we relate personality traits to preference parameters using a conventional structural framework of labor force participation. This allows us to separate the direct effects of personality traits affecting the individual participation decision through different individual preferences from the indirect effects through wages. We can show that personality traits play an important role in the female labor force participation decision. The channels through which personality traits effect labor force participation are manifold and depend on the specific trait. Aggregation of traits to a single index is therefore a suboptimal strategy