Recent research shows that start-ups are important for job creation, but these firms are also inherently volatile. We use linked employer-employee data to examine the relative importance of firm age and firm size for job creation and destruction in Brazil. Firm age is a more important...

We use data from the adult cohort of the National Education Panel Study to analyse the changes in the employment histories of cohorts born after World War II and the role of atypical employment in this context. Younger cohorts are characterised by acquiring more education, by entering into...

In the present paper we use the output of multiple expert elicitation surveys on the future cost of key low-carbon technologies and use it as input of three Integrated Assessment models, GCAM, MARKAL_US and WITCH. By means of a large set of simulations we aim to assess the implications of these...

We analyze identification of nonseparable models under three kinds of exogeneity assumptions weaker than full statistical independence. The first is based on quantile independence. Selection on unobservables drives deviations from full independence. We show that such deviations based on quantile...

Total Factor Productivity (TFP)is often used on the macro-economic level as an indicator of changes in efficiency of a country. In many transition economies TFP is seen to have been negative the last decade of the plan economy and starts increasing and become positive after a (quite a) few years...

We argue that in modelling cross-country growth models one should first identify so-called outlying observations. For the data set of Sala-i-Martin, we use the least median of squares (LMS) estimator to identify outliers. As LMS is not suited for inference, we then use reweighted least squares...