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  • Search: subject:"Proportions data"
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Year of publication
Subject
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conditional maximum likelihood 4 overdispersion 4 proportions data 4 unobserved heterogeneity 4 Arbeitsangebot 3 Estimation 3 Labour supply 3 Logit model 3 Logit-Modell 3 Maximum likelihood estimation 3 Maximum-Likelihood-Schätzung 3 Schätzung 3 Weibliche Arbeitskräfte 3 Women workers 3 Panel 2 Panel study 2 Proportions data 2 Theorie 2 Theory 2 Conditional maximum likelihood 1 Estimation theory 1 Microeconometrics 1 Mikroökonometrie 1 Overdispersion 1 Schätztheorie 1 Unobserved heterogeneity 1 firm entry 1 panel data 1 random effects 1
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Online availability
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Free 5 Undetermined 1
Type of publication
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Book / Working Paper 4 Article 2
Type of publication (narrower categories)
All
Working Paper 4 Arbeitspapier 2 Graue Literatur 2 Non-commercial literature 2 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 5 Undetermined 1
Author
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Winkelmann, Rainer 5 Xu, Lin 5 PODIVINSKY, JAN M. 1 STEWART, GEOFF 1
Published in...
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Working Paper 2 Working paper series / University of Zurich, Department of Economics 2 Empirical economics : a quarterly journal of the Institute for Advanced Studies 1 The Singapore Economic Review (SER) 1
Source
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ECONIS (ZBW) 3 EconStor 2 RePEc 1
Showing 1 - 6 of 6
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Testing the binomial fixed effects logit model, with an application to female labour supply
Winkelmann, Rainer; Xu, Lin - In: Empirical economics : a quarterly journal of the … 62 (2022) 2, pp. 679-708
Persistent link: https://www.econbiz.de/10012819490
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Testing the binomial fixed effects logit model; with an application to female labor supply
Winkelmann, Rainer; Xu, Lin - 2019
Regression models for proportions are frequently encountered in applied work. The conditional expectation is bound between 0 and 1 and, therefore, must be non-linear which requires non-standard panel data extensions. The quasi-maximum likelihood estimator of Papke and Wooldridge (1996) suffers...
Persistent link: https://www.econbiz.de/10011993814
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Cover Image
Testing the binomial fixed effects logit model; with an application to female labor supply
Winkelmann, Rainer; Xu, Lin - 2019
Regression models for proportions are frequently encountered in applied work. The conditional expectation function is bounded between 0 and 1 and therefore must be non-linear, requiring nonstandard panel data extensions. One possible approach is the binomial panel logit model with fixed effects...
Persistent link: https://www.econbiz.de/10012111392
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Cover Image
Testing the binomial fixed effects logit model : with an application to female labor supply
Winkelmann, Rainer; Xu, Lin - 2019
Regression models for proportions are frequently encountered in applied work. The conditional expectation is bound between 0 and 1 and, therefore, must be non-linear which requires non-standard panel data extensions. The quasi-maximum likelihood estimator of Papke and Wooldridge (1996) suffers...
Persistent link: https://www.econbiz.de/10011993685
Saved in:
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Testing the binomial fixed effects logit model : with an application to female labor supply
Winkelmann, Rainer; Xu, Lin - 2019 - Revised version
Regression models for proportions are frequently encountered in applied work. The conditional expectation function is bounded between 0 and 1 and therefore must be non-linear, requiring nonstandard panel data extensions. One possible approach is the binomial panel logit model with fixed effects...
Persistent link: https://www.econbiz.de/10012111398
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Cover Image
MODELING PROPORTIONS: RANDOM EFFECTS MODELS OF UK FIRM ENTRY
PODIVINSKY, JAN M.; STEWART, GEOFF - In: The Singapore Economic Review (SER) 54 (2009) 03, pp. 367-377
A long-standing issue in industrial economics is the understanding of the relative prevalence of labor-managed firms (LMFs) and capitalist firms across industries. In proportionate terms, LMF entry tends to be highly concentrated in particular industries. We provide empirical evidence on this by...
Persistent link: https://www.econbiz.de/10004964019
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