This study investigates how the first childbirth affects the wage processes of highly attached women. We estimate a flexible fixed effects wage regression model extended with post-birth fixed effects by the control function approach. Register data on West Germany are used and we exploit the...

In addition to realized earnings and employment shocks, forward-looking individuals are presumed to condition their consumption and labor supply decisions on their subjective beliefs about future labor market risks. This paper analyzes these perceptions of earnings and employment risks using...

This paper investigates the way in which job mobility contributes to the emergence of a gender wage gap in the Italian labour market. We show that men experience higher wage growth than women during the first 10 years of their career, and that this difference is particularly large when workers...

In addition to realized earnings and employment shocks, forward-looking individuals are presumed to condition their consumption and labor supply decisions on their subjective beliefs about future labor market risks. This paper analyzes these perceptions of earnings and employment risks using...

Investments in oil and gas fields are regressed against variables on panel field-data from the start of oil and gas production on the Norwegian continental shelf in 1968 until 2016. Two alternative models track the observed investments aggregated across fields from 1970 until 2016 relatively...

The Norwegian Tax Administration operated multi-year random audits of personal income tax returns. We exploit this exceptional randomized setup to estimate the effects of tax audits on future compliance explicitly distinguishing between dynamic responses of compliant and noncompliant audited...

This paper develops a machine-learning method that allows researchers to estimate heterogeneous treatment effects with panel data in a setting with many covariates. Our method, which we name the dynamic causal forest (DCF) method, extends the causal-forest method of Wager and Athey (2018) by...