Recently, building on the highly polarizing Stiglitz report, a growing literature suggests that statistical offices and applied researchers explore other aspects of human welfare apart from material well-being, such as job security, crime, health, environmental factors and subjective...

Using harmonized micro data, this paper investigates the job search methods of the unemployed in Europe. The analysis focuses on the importance of individual and household characteristics in this context, as well as on cross-country differences in Europe. Our findings suggest that both...

Recently, building on the highly polarizing Stiglitz report, a growing literature suggests that statistical offices and applied researchers explore other aspects of human welfare apart from material well-being, such as job security, crime, health, environmental factors and subjective...

Using harmonized micro data, this paper investigates the job search methods of the unemployed in Europe. The analysis focuses on the importance of individual and household characteristics in this context, as well as on cross-country differences in Europe. Our findings suggest that both...

In this article we analyse the degree of commonality across euro area countries in the bank lending rates and credit volumes. Using a time-varying two-level dynamic factor model, we disentangle the relative importance of country-specific and common components in explaining the variance of the...

We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe. Innovation concentration is considered as pattern of specialization among innovation types. We examine patent registration data and...

Based on the seminal paper of Farrell (1957), researchers have developed several methods for measuring efficiency. Nowadays, the most prominent representatives are nonparametric data envelopment analysis (DEA) and parametric stochastic frontier analysis (SFA), both introduced in the late 1970s....

Stochastic frontier analysis is a popular tool to assess firm performance. Almost universally it has been applied using maximum likelihood estimation. An alternative approach, pseudolikelihood estimation, decouples estimation of the error component structure and the production frontier, has been...

Based on the seminal paper of Farrell (1957), researchers have developed several methods for measuring effi ciency. Nowadays, the most prominent representatives are nonparametric data envelopment analysis (DEA) and parametric stochastic frontier analysis (SFA), both introduced in the late 1970s....

Monte Carlo (MC) simulations are one of the dominant approaches to compare statistical methods. To date, there is no standard procedure for MC simulations. Although internally valid, they exhibit a certain degree of arbitrariness through the various choices that researchers make. In this paper,...