It is often believed that without instrument, endogenous sample selection models are identified only if a covariate with a large support is available (see Chamberlain, 1986, and Lewbel, 2007). We propose a new identification strategy mainly based on the condition that the selection variable...

The sample selection model is based upon a bivariate or a multivariate structure, and distributional assumptions are in this context more severe than in univariate settings, due to the limited availability of tractable multivariate distributions. While the standard FIML estimation of the...

No other area of the German economy has developed so emphatically in the past ten years as has that business-related services. Regardless of its growing overall economic importance, official statistics fail to provide economic researchers and economic policy with current data on the...

This paper investigates if significant differences exist between online and paper & pencil participants in a quarterly business survey in the German business-related services sector when respondents may freely choose to respond either online or by more conventional methods. It also analyzes the...

In this paper we propose a new small area estimation methodology aimed at the estimation of Value Added, Labor Cost and related competitiveness indicators for subsets of the population of Italian small and medium sized manufacturing firms classified according to geographical region, industrial...

In this paper, we describe the usefulness of stock sample measures for average unemployment durations, when the parameter of interest is the expected unemployment duration. If both job separations and job accessions follow a Poisson process which are constant over time, the stock sample measure...

The paper proposes a technique for the estimation of possibly nonlinear panel data models in the presence of heterogeneous unit nonresponse. Attrition or unit nonresponse in panel data usually renders parameter estimators inconsistent unless the unavailable information is missing completely at...

In Monte Carlo simulation, Latin hypercube sampling (LHS) [McKay et al. (1979)] is a well-known variance reduction technique for vectors of independent random variables. The method presented here, Latin hypercube sampling with dependence (LHSD), extends LHS to vectors of dependent random...

The IAB employment subsample is now available for researchers in a third, anonymised version. Following the so-called basic file and the regional file from the IAB employment subsample, which encompassed the years 1975 to 1990, the actualized version of the basic file covers now the years 1975...