Many firm level studies rely on readily available databases as COMPUSTAT, based on published balance sheets. While bigger firms are quite reliable described in this data set, small and medium sized firms (SMEs) are not covered, bearing the danger that the conclusions might be biased. To include SMEs into firm-level analysis, the EUKLEED data set for Germany is created. EUKLEED is a comprehensive integrated ...
This article examines the implications of moving to Computer-Assisted Personal Interviewing (CAPI) for data quality by analyzing the transition from Paper-and-Pencil (PAPI) to Computer-Assisted Personal Interviewing (CAPI) on a subsample of the German Socio-Economic Panel (SOEP) conducted using an "experimental design" in Wave 1. The 2,000 addresses for the sample E of SOEP were split into two subsamples ...
The longitudinal German Socio-Economic Panel (SOEP) study has been providing microdata for social, behavioral, and economic research for over 25 years. This paper presents an overview of this nationally and internationally important infrastructural facility for empirical social research, and shows that SOEP data are of key sociological interest in two respects. First, they allow for annual representative ...
This article suggests a novel approach to pre-selection of the component series of the diffusion index based on their individual forecasting performance. It is shown that this targeted selection allows substantially improving the forecasting ability compared to the diffusion index models that are based on the largest available data set.
We show that any decision maker who "narrowly brackets" (evaluates decisions separately) and does not have constant-absolute-risk-averse preferences will make a first-order stochastically dominated combined choice in some simple pair of independent binary decisions. We also characterize the preference-contingent monetary cost from this mistake. Empirically, in a real-stakes laboratory experiment that ...
This paper suggests a novel approach to pre-selection of the component series of the diffusion index based on their individual forecasting performance. It is shown that this targeted selection allows substantially improving the forecasting ability compared to the diffusion index models that are based on the largest available dataset.
