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SOEP in Sociology

SOEP Wave Report 9 / 2019

SOEP Wave Report 2018

2019| Janina Britzke, Jürgen Schupp (Eds.)
Externe referierte Aufsätze

The Individual in Context(s): Research Potentials of the Socio-Economic Panel Study (SOEP) in Sociology

The German Socio-Economic Panel (SOEP) study is a rich resource for sociologists, mainly because it offers direct measures of respondents’ contexts. The SOEP data provide (i) information retrieved from individuals themselves, (ii) direct informatio

In: European Sociological Review (2019), im Ersch. [online first:2019-06-23] | Marco Giesselmann, Sandra Bohmann, Jan Goebel, Peter Krause, Elisabeth Liebau, David Richter, Diana Schacht, Carsten Schröder, Jürgen Schupp, Stefan Liebig
Externe referierte Aufsätze

Panel Survey Recruitment With or Without Interviewers? Implications for Nonresponse, Panel Consent, and Total Recruitment Bias

In: Journal of Survey Statistics and Methodology (2019), im Ersch. [online first: 2019-06-10] | Joseph W. Sakshaug, Sebastian Hülle, Alexandra Schmucker, Stefan Liebig
SOEPcampus

Introduction to the Socio-Economic Panel Study: From raw data to longitudinal analyses

The purpose of the workshop is to introduce and familiarize researchers with the file structure and potential of the SOEP panel data. Particularly, the workshop focuses on the longitudinal components of the dataset. We demonstrate and discuss the ...

24.09.2019| Sandra Bohmann
SOEPcampus

SOEPcampus@GESIS Köln

This two day workshop offers a well-grounded and practically oriented introduction into this sophisticated data source. Participants will be introduced to the content of the study, its data-structure, sample selection and weighting strategy and they ...

24.10.2019| Sandra Bohmann
Externe referierte Aufsätze

Bootstrapping Impulse Responses of Structural Vector Autoregressive Models Identified through GARCH

Different bootstrap methods and estimation techniques for inference for structural vector autoregressive (SVAR) models identified by generalized autoregressive conditional heteroskedasticity (GARCH) are reviewed and compared in a Monte Carlo study. .

In: Journal of Economic Dynamics & Control 101 (2019), S. 41-61 | Helmut Lütkepohl, Thore Schlaak
1161 results, from 1