Measurement error in minimum wage evaluations using survey data
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Cited by:
- Lucas Hafner & Benjamin Lochner, 2022.
"Do minimum wages improve self-rated health? Evidence from a natural experiment,"
Empirical Economics, Springer, vol. 62(6), pages 2989-3014, June.
- Hafner, Lucas & Lochner, Benjamin, 2019. "Do minimum wages improve self-rated health? : Evidence from a natural experiment," IAB-Discussion Paper 201917, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
- Devereux, Kevin & Studnicka, Zuzanna, 2024. "Non-monotonic employment effects by market structure and minimum wage level," CLEF Working Paper Series 66, Canadian Labour Economics Forum (CLEF), University of Waterloo.
- Börschlein, Benjamin & Bossler, Mario, 2021. "A new machine learning-based treatment bite for long run minimum wage evaluations," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242441, Verein für Socialpolitik / German Economic Association.
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Keywords
Bundesrepublik Deutschland ; Befragung ; Datengewinnung ; Messfehler ; Integrierte Erwerbsbiografien ; Lohnhöhe ; Mindestlohn ; Antwortverhalten ; Validität ; Wirkungsforschung ; IAB-Haushaltspanel ; 2011-2015;All these keywords.
JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
- J38 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Public Policy
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