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FIML estimation of an endogenous switching model for count data AgEcon
Miranda, Alfonso.
This paper presents code for fitting a FIML endogenous switching Poisson count model for cross-sectional data in Stata 7: the espoisson command. The Poisson process depends on an unobserved heterogeneity term, ε; a set of explanatory variables, x; and an endogenous dummy, d. The endogenous dummy depends on an unobserved random term, v. Correlation between ε and v is allowed. If a model with exogenous d is fitted instead, correlation between ε and v will result in simultaneous equation bias. The endogenous switching model corrects this problem. After describing the underlying econometric theory behind the command, an example is discussed.
Tipo: Journal Article Palavras-chave: Count models; Endogenous switch; Sample selection; Research Methods/ Statistical Methods.
Ano: 2004 URL: http://purl.umn.edu/116208
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Firm Birth and Death in U.S. Manufacturing: A Regional Adjustment Model AgEcon
Brown, Jason P.; Lambert, Dayton M.; Florax, Raymond J.G.M..
Attracting manufacturing investment is a frequently used rural development policy. Previous research in the location literature has informed policymakers which factors are most important for attracting new firm investment. Far less is known about the interaction of birth and death of establishments. A conceptual model of county-level investment in the U.S. manufacturing sector is developed from location theory and subsequent literature. Specifically, we test the relative importance of location factors influencing firm investment, and if these factors influence firm birth and death differently. Local factors include agglomeration due to localization, urbanization, and internal economies, market structure, labor quality, availability, and cost, market...
Tipo: Working or Discussion Paper Palavras-chave: Location determinants; Manufacturing; Count models; Community/Rural/Urban Development; Research Methods/ Statistical Methods; L60; R11; R12.
Ano: 2009 URL: http://purl.umn.edu/49467
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Predicted probabilities for count models AgEcon
Long, J. Scott; Freese, Jeremy.
The post-estimation command prcounts for generating predicted probabilities after using poisson, nbreg, zip, and zinb is introduced and illustrated.
Tipo: Journal Article Palavras-chave: Predicted probabilities; Count models; Research Methods/ Statistical Methods.
Ano: 2001 URL: http://purl.umn.edu/115935
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Who recieve rural development measures in Hungary? AgEcon
Elek, Sandor; Ferto, Imre; Forgacs, Csaba.
The paper investigates the selection mechanisms of rural development policy using a survey among farmers in the Southern Great Plain region characterising by the high level of unemployment and strong agricultural background. We focus on the farmers social-economic characteristics explaining of success of application for rural development subsidies employing selection and count models. Estimations show that the higher educated and older farmers more likely apply for rural supports, whilst the share of less favoured land affects negatively on the application for subsidy. We found selection bias in the success of application. Results imply that farmers with less favoured land less likely receive, whilst higher educated and older farmers more likely receive...
Tipo: Conference Paper or Presentation Palavras-chave: Rural development measures; Selection models; Count models; Community/Rural/Urban Development.
Ano: 2008 URL: http://purl.umn.edu/44255
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