1884 Ergebnisse, ab 1

Konsortium für die Sozial-, Bildungs-, Verhaltens- und Wirtschaftswissenschaften (KonsortSWD)

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...

Aktuelles Projekt| Sozio-oekonomisches Panel
Weitere Aufsätze

Sekundäranalysen qualitativer Interviews: Eine Metaanalyse zur Praxis sekundäranalytischer Forschung zu Arbeitsorganisationen

In: Caroline Richter, Katharina Mojescik , Qualitative Sekundäranalysen : Daten der Sozialforschung aufbereiten und nachnutzen
Wiesbaden: Springer VS
S. 17-36
| Tobias Gebel, Jakob Köster, Mariam Khuchua

The Effect of a Major Pandemic on Risk Preferences: Evidence from Exposure to COVID-19

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 ...

Rochester : SSRN, 2020, 43 S. | Daniel Graeber, Ulrich Schmidt, Carsten Schröder, Johannes Seebauer
Diskussionspapiere 1905 / 2020

A Simple Instrument for Proxy Vector Autoregressive Analysis

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 ...

2020| Lukas Boer, Helmut Lütkepohl
Externe referierte Aufsätze

How People Know Their Risk Preference

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 ...

In: Scientific Reports 10 (2020), 15365 | Ruben C. Arslan, Martin Brümmer, Thomas Dohmen, Johanna Drewelies, Ralph Hertwig, Gert G. Wagner

SOEP-IS for new research questions: call for proposals for the 2021 survey

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. ...

Externe referierte Aufsätze

Constructing Joint Confidence Bands for Impulse Response Functions of VAR Models: A Review

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: Econometrics and Statistics 13 (2020), S. 69-83 | Helmut Lütkepohl, Anna Staszewska-Bystrova, Peter Winker
Diskussionspapiere 1871 / 2020

Structural Vector Autoregressive Models with More Shocks than Variables Identified via Heteroskedasticity

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 ...

2020| Helmut Lütkepohl
Externe referierte Aufsätze

Multiple Imputation of Binary Multilevel Missing Not at Random Data

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 ...

In: Journal of the Royal Statistical Society / Series C 69 (2020), 3, S. 547–564 | Angelina Hammon, Sabine Zinn
Externe referierte Aufsätze

Attrition and Selectivity of the NEPS Starting Cohorts: An Overview of the Past 8 Years

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 ...

In: AStA Wirtschafts- und Sozialstatistisches Archiv (2020), 14, S. 163–206 | Sabine Zinn, Ariane Würbach, Hans Walter Steinhauer, Angelina Hammon
1884 Ergebnisse, ab 1