Forschende der Sozial-, Bildungs-, Verhaltens- und Wirtschaftswissenschaften arbeiten mit verschiedenen Datentypen, die häufig aufgrund rechtlicher oder ethischer Beschränkungen besonders sensibel sind und oftmals nicht originär für wissenschaftliche Zwecke erhoben wurden. Das Projekt KonsortSWD hat zum Ziel, Forschenden, die zunehmend in multi- und interdisziplinären...
The present paper studies the effect of the COVID-19 pandemic on risk preferences. Using real-time panel data from the year before the pandemic and from the first few months of the pandemic in Germany (April to July 2020), we provide robust evidence that exposure to COVID-19 reduces individual risk tolerance. We establish a causal link between the pandemic and risk tolerance by exploiting longitudinal ...
A major challenge for proxy vector autoregressive analysis is the construction of a suitable instrument variable for identifying a shock of interest. We propose a simple proxy that can be constructed whenever the dating and sign of particular shocks are known. It is shown that the proxy can lead to impulse response estimates of the impact effects of the shock of interest that are nearly as efficient ...
People differ in their willingness to take risks. Recent work found that revealed preference tasks (e.g., laboratory lotteries)—a dominant class of measures—are outperformed by survey-based stated preferences, which are more stable and predict real-world risk taking across different domains. How can stated preferences, often criticised as inconsequential “cheap talk,” be more valid and predictive ...
SOEP users are invited to submit proposals for the next round of the SOEP Innovation Sample (SOEP-IS). For those not yet familiar with SOEP-IS, this unique innovation sample offers great potential as a source of household micro-data, particularly for researchers seeking information that is not available in SOEP-Core—for example, specific information on households or on people’s opinions. ...
Methods for constructing joint confidence bands for impulse response functions which are commonly used in vector autoregressive analysis are reviewed. While considering separate intervals for each horizon individually still seems to be the most common approach, a substantial number of methods have been proposed for making joint inferences about the complete impulse response paths up to a given horizon. ...
In conventional structural vector autoregressive (VAR) models it is assumed that there are at most as many structural shocks as there are variables in the model. It is pointed out that heteroskedasticity can be used to identify more shocks than variables. However, even if there is heteroskedasticity, the number of shocks that can be identified is limited. A number of results are provided that allow ...
We introduce a selection model‐based multilevel imputation approach to be used within the fully conditional specification framework for multiple imputation. Concretely, we apply a censored bivariate probit model to describe binary variables assumed to be missing not at random. The first equation of the model defines the regression model for the missing data mechanism. The second equation specifies ...
This article documents the number of target persons participating in the panel surveys of the National Educational Panel Study (NEPS) as well as the number of respondents who temporarily dropout and of those leaving the panel (attrition). NEPS comprises panel surveys with six mutually exclusive starting cohorts covering the complete life span. Sample sizes, numbers of participants and temporary as ...