1996
DOI: 10.2307/2078024
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Intertemporal Substitution, Money, and Aggregate Labor Supply

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Cited by 15 publications
(10 citation statements)
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“…Comparing our results with previous studies, we can see that our estimate of the elasticity of labor supply with respect to real wages is substantially lower than obtained by Alogoskoufis (1987b) Dutkowsky and Dunsky (1996) and Mankiw et al (1985). In all these studies, the elasticity varies between 0.26 and 1 8 .…”
Section: Empirical Evidencecontrasting
confidence: 45%
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“…Comparing our results with previous studies, we can see that our estimate of the elasticity of labor supply with respect to real wages is substantially lower than obtained by Alogoskoufis (1987b) Dutkowsky and Dunsky (1996) and Mankiw et al (1985). In all these studies, the elasticity varies between 0.26 and 1 8 .…”
Section: Empirical Evidencecontrasting
confidence: 45%
“…For example, the findings of Hall (1980), Abowd and Card (1987), Alogoskoufis (1987aAlogoskoufis ( , 1987b, Dutkowsky and Foote (1992) and Dutkowsky and Dunsky (1996) support the hypothesis. In contrast, Card (1991) in a survey of the microeconometric literature, Altonji (1982) and Mankiw et al (1985) present evidence against the intertemporal substitution model.…”
Section: Introductionmentioning
confidence: 68%
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“…Leisure and the nominal wage rate are constructed as in Dutkowsky and Dunsky (1996). We measure leisure as per-capita waking hours per quarter, 1547 ¼ (17 hours/ day)(91 days), minus per-capita working hours per quarter.…”
Section: Datasetmentioning
confidence: 99%
“…1 Stochastic decision problems that include monetary or …nancial assets have been used to address a variety of topics including asset pricing [2,15,29,30,41,51], price dynamics [23,32,40,42,43], intertemporal substitution [26], money demand [21,33], currency substitution and exchange rates [6,34], optimal monetary policy [16,17,18,19,20,25], and monetary aggregation [3,4,5,46]. In each case, the usefulness of the model depends on the derivation of the stochastic Euler equations that characterize the model's solution.…”
Section: Introductionmentioning
confidence: 99%