Worldwide human trafficking (HT) is the third most often registered international criminal activity, ranked only after drug and weapon trafficking. The aim of the paper is to measure the extent of HT inflows to destination countries. It proposes the application of the Multiple Indicators...

Worldwide human trafficking (HT) is the third most often registered international criminal activity, ranked only after drug and weapon trafficking. The aim of the paper is to measure the extent of HT inflows to destination countries. It proposes the application of the Multiple Indicators...

We investigate sibling correlations in health status using the Panel Study of Income Dynamics and Bayesian methods that allow us to estimate the covariance structure of a system of latent variable equations. Across a battery of outcomes, we estimate that between 50% and 60% of health status can...

We examine the influence of drivers' environmental concerns on their preferences for different types of plug-in electric vehicles (PEVs). Our empirical approach is built around the results of a large-scale survey among Dutch drivers, where preferences for electric vehicles are elicited through a...

In this paper we develop a framework to value public investments with the purpose of increasing bicycling that explicitly accounts internal costs of bicycling, which are typically neglected in current established approaches that value bicycle spending by means of gross health benefits alone, as...

This paper reviews recent developments in nonparametric identi.cation of mea- surement error models and their applications in applied microeconomics, in particular, in empirical industrial organization and labor economics. Measurement error models describe mappings from a latent distribution to...

This paper aims to assess the usefulness of leading indicators in business cycle research and forecast. Initially we test the predictive power of the ESI within a static probit model as a leading indicator, commonly perceived to be able to provide a reliable summary of the current economic...

This paper develops an approach that allows constructing regional proxies of government effectiveness at a highly dis-aggregated level. Our idea builds on the well documented interdependence between institutions and exports, which allows estimating the latent government effectiveness using...

Social scientists have long documented that many components of socioeconomic status such as income and education have strong ties across generations. However, health status, arguably a more critical component of welfare, has largely been ignored. We fill this void by providing the first...

In this paper, I study identification of a nonseparable model with endogeneity arising due to unobserved heterogeneity. Identification relies on the availability of binary proxies that can be used to control for the unobserved heterogeneity. I show that the model is identified in the limit as...