2006
DOI: 10.1162/jeea.2006.4.5.988
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Disentangling the Minimum Wage Puzzle: An Analysis of Worker Accessions and Separations

Abstract: Changes in the legislation in the mid-1980s in Portugal provide remarkably good conditions for analysis of the employment effects of mandatory minimum wages, as the minimum wage increased sharply for a very specific group of workers. Relying on a matched employeremployee panel data set, we model gross worker flows-accessions and separations-in continuing firms, as well as in new firms and those going out of business, using a count regression model applied to proportions. Employment trends for teenagers, the af… Show more

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Cited by 134 publications
(116 citation statements)
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References 22 publications
(27 reference statements)
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“…Either of these estimates could be interpreted as an effect of minimum wage change and the set-up can be compared with the earlier studies based on minimum wage changes affecting some particular groups (e.g. Card and Krueger 1995;Hyslop and Stillman 2007;Portugal and Cardoso 2006). Our estimates in the column 'During-Before' reveal that a minimum wage cut seems to imply a decrease in employment in the affected groups.…”
Section: Notesmentioning
confidence: 50%
“…Either of these estimates could be interpreted as an effect of minimum wage change and the set-up can be compared with the earlier studies based on minimum wage changes affecting some particular groups (e.g. Card and Krueger 1995;Hyslop and Stillman 2007;Portugal and Cardoso 2006). Our estimates in the column 'During-Before' reveal that a minimum wage cut seems to imply a decrease in employment in the affected groups.…”
Section: Notesmentioning
confidence: 50%
“…In this section, we describe this analysis and show that the methodology does not identify appropriate counterfactuals, as it clearly fails the falsification test that there are 43 Incidentally, NSW also fail to assess the quality of their synthetic controls in the pre-treatment period, even though such a demonstration would provide a major reason for the credibility of synthetic control estimates in the first place. 44 Perhaps least important in light of the problems above, their standard errors are certainly wrong (and probably too small). They cluster on treated state and counterfactual, but the counterfactuals share many of the same states, so they are often correlated mechanically.…”
Section: B3 Bordering State Pairsmentioning
confidence: 99%
“…44 Credible estimates would begin with using the actual synthetic control estimator and not graft di erent methods onto each other without justification. Most critically, such an approach would use the actual set of pre-treatment outcomes-which forms the very basis of a synthetic control strategy-and not residuals from another estimation.…”
mentioning
confidence: 99%
“…where is a standard normal cdf, d i is a vector of prefecture dummies, t is a linear time trend, k is an index for individual, j is an index for worker's attributes x. Speci cally, workers are classi ed into four age groups ( 22,(23)(24)(25)(26)(27)(28)(29)(30), 31-59, 60). All parameters are allowed to vary with group j.…”
Section: Removing the Truncation Effectmentioning
confidence: 99%