Minimum Wages and Employment: Reconsidering the Use of a Time Series Approach as an Evaluation Tool
Abstract
The time-series approach used in the minimum wage literature essentially aims to estimate a treatment effect of increasing the minimum wage. In this paper, we employ a novel approach based on aggregate time-series data that allows us to determine if minimum wage changes have significant effects on employment. This involves the use of tests for structural breaks as a device for identifying discontinuities in the data which potentially represent treatment effects. In an application based on Australian data, the tentative conclusion is that the introduction of minimum wage legislation in Australia in 1997 and subsequent minimum wage increases appear not to have had any significant negative employment effects for teenagers.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by London School of Economics in its journal British Journal of Industrial Relations.
Volume (Year): 49 (2011)
Issue (Month): Supplement 2 (07)
Pages: s376-s401
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Related research
Keywords:Other versions of this item:
- Wang-Sheng Lee & Sandy Suardi, 2008. "Minimum Wages and Employment: Reconsidering the Use of a Time-Series Approach as an Evaluation Tool," Melbourne Institute Working Paper Series wp2008n20, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Lee, Wang-Sheng & Suardi, Sandy, 2010. "Minimum Wages and Employment: Reconsidering the Use of a Time-Series Approach as an Evaluation Tool," IZA Discussion Papers 4748, Institute for the Study of Labor (IZA).
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- J3 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs
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