Dr. Peter Valet

Contact

Dr. Peter Valet
Chair of Sociology, especially Methods of Empirical Social Research
University of Bamberg
Feldkirchenstraße 21
96045 Bamberg

phone:+49-951-863-2609

email:peter.valet(at)uni-bamberg.de

office hours: Wednesday 1-2 p.m., please make an appointment via email

room: 01.16c

Academic positions

Peter Valet studied social sciences at the University of Duisburg-Essen (diploma 2009). After completing his studies, he was invited for a research stay at the German Institute for Economic Research in Berlin. From 2010 to 2015 he was a research assistant in the working group "Social Structure and Social Inequality" at Bielefeld University. From 2012 to 2018 he also worked in the project "Structural Conditions of Justice Attitudes over the Life-Span" funded by the German Research Foundation. In this project he was, among other things, involved in the conception, realization, and data preparation of the LINOS panel survey. In spring 2015, he was invited for a research stay at Ohio State University. In 2017 he received his doctoral degree in sociology (first advisor: Prof. Dr. Stefan Liebig, second advisor: Prof. Dr. Jürgen Schupp). Since April 2018 he is an assistant professor ("akademischer Rat") at the Chair for Sociology, especially Methods of Empirical Social Research at the University of Bamberg.

Research interests

  • Social inequality, esp. earnings inequality
  • Labor market, esp. atypical employment and public sector employment
  • Quality of work
  • Individual attitudes, esp. distributive justice
  • Methods of empirical social research

Publications

Here(23.5 KB) you can download the full list of publications.

Publications (selection):

Adriaans, J., Valet, P., & Liebig S. (forthcoming). Comparing Administrative and Survey Data: Is Information from Administrative Records of the German Institute for Employment Research Consistent with Survey Self-reports? Quality & Quantity.

Sauer, C., Valet, P., Roscigno, V. J., & Wilson, G. (forthcoming). Neoliberalism’s Public-Sector Impact: The U.S. and Germany Compared. In Dwyer, R., Warhurst, C. & Mathieu, C. (Hrsg.). The Oxford Handbook of Job Quality. Cambridge: Oxford University Press.

Valet, P., Adriaans, J., & Liebig, S. (2019). Comparing Survey Data and Administrative Records on Gross Earnings: Nonreporting, Misreporting, Interviewer Presence and Earnings Inequality. Quality & Quantity, 53(1), 471-491. doi:10.1007/s11135-018-0764-z

Roscigno, V. J. , Sauer, C., & Valet, P. (2018). Rules, Relations, and Work. American Journal of Sociology, 123(6), 1784-1825. doi:10.1086/697111

Valet, P. (2018). Social Structure and the Paradox of the Contented Female Worker: How Occupational Gender Segregation Biases Justice Perceptions of Wages. Work and Occupations, 45(2), 168-193. doi:10.1177/0730888417753048

Schneider, S. M., & Valet, P. (2017). Relative Standards and Distributive Justice: How Social Comparison Orientations Moderate the Link between Relative Earnings and Justice Perceptions. Social Psychology Quarterly, 80(3), 276-287. doi:10.1177/0190272517708810

Sauer, C., Valet, P., & Liebig, S. (2016). Welche Lohnungleichheiten sind gerecht? Arbeitsmarktbezogene Ursachen von Lohnungleichheiten und die wahrgenommene (Un‑)Gerechtigkeit des eigenen Erwerbseinkommens. Kölner Zeitschrift für Soziologie und Sozialpsychologie, 68(4), 619-645. doi:10.1007/s11577-016-0385-2

Schunck, R., Sauer, C., & Valet, P. (2015). Unfair Pay and Health: The Effects of Perceived Injustice of Earnings on Physical Health. European Sociological Review, 31(6), 655-666. doi:10.1093/esr/jcv065

Liebig, S., May, M., Sauer, C., Schneider, S., & Valet, P. (2015). How Much Inequality of Earnings Do People Perceive as Just? The Effect of Interviewer Presence and Monetary Incentives on Inequality Preferences. methods, data, analyses, 9(1), 57-86. doi:10.12758/mda.2015.002

Events

Here(24.0 KB) you can download the full list of presentations.

Recent Events:

[Aug 13, 2019] presentation with Carsten Sauer, Safi Shams, and Donald Tomaskovic-Devey zum Thema "Categorical Distinctions and Claims Making: Opportunity, Actions, and Returns from Wage Negotiations". 114th Annual Meeting of the American Sociological Association (ASA), New York City, USA.

[Jul 18, 2019] presentation with Carsten Sauer on "Assessing Preferences for Working Arrangements Using a Discrete Choice Experiment". 8th Conference of the European Social Research Association (ESRA), Zagreb, HR.

[Jul 3, 2019] presentation on "Subjektive Wahrnehmungen atypischer Beschäftigung [Subjective Perceptions of Atypical Employment]" at the Sociological Colloquium of the University of Duisburg-Essen.

[Apr 17, 2019] session with Jule Adriaans on "Attitudinal Consequences of Social Inequality in Europe". 4th Conference of the European Social Survey (ESS), Mannheim.

[Mar 11-15,  2019]  research stay at Radboud University Nijmegen, NL.

[Sep 25, 2018] presentation with Carsten Sauer on "Neue Ungleichheiten im öffentlichen Sektor: Wie haben die Reformen öffentlicher Organisationen die wahrgenommene Arbeitsbelastung und Jobsicherheit von Beschäftigten verändert?" at the 39th Congress of the German Sociological Society (DGS), Göttingen.

[Sep 14, 2018] presentation with Jule Adriaans on "Validating Survey Data Using Administrative Records and Vice Versa?" at the LINOS-2 Conference, Berlin.

Teaching

Summer term 2018:

Lecture (Bachelor): Einführung in die Methoden der empirischen Sozialforschung Teil II ("Methods of Empirical Social Research Part II")

Lecture (Bachelor): Research Seminar Data Analysis ("Forschungspraktikum Datenanalyse: Plenum")

Winter term 2018/19:

Lecture (Bachelor): Einführung in die Methoden der empirischen Sozialforschung Teil I ("Methods of Empirical Social Research Part I")

Seminar (Master): Advanced Techniques of Quantitative Data Analysis: Advanced Regression Analysis Using Stata

Summer term 2018:

Lecture (Bachelor): Einführung in die Methoden der empirischen Sozialforschung Teil II ("Methods of Empirical Social Research Part II")

Seminar (Master): Advanced Techniques of Quantitative Data Analysis: Multilevel Analysis Using Comparative Micro Data