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	Provedor de dados AgEcon (4) Autor Florax, Raymond J.G.M. (1) Flores-Lagunes, Alfonso (1) Hall, Alastair R. (1) Ooms, Daan L. (1) Sauer, Johannes (1) Ward, Patrick S. (1) Woodard, Joshua D. (1) Zilberman, David (1) Mais... Palavra-chave Sample Selection (4) Q12 (2) Q18 (2) Agricultural Production (1) Applied Spatial Econometrics (1) C23 (1) C24 (1) C5 (1) C50 (1) C51 (1) C53 (1) CAP Reform (1) Catastrophic Risk Modeling (1) Climate Change (1) Conditional Production Function (1) Conditional Weibull Distribution (1) Crop Insurance (1) Crop Production/Industries (1) D13 (1) D21 (1) Mais... Tipo do documento Conference Paper or Presentation (4) Ano 2011 (1) 2010 (1) 2009 (1) 2005 (1) País United States (4) Idioma Inglês (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última EU policy reform simulation based on panel data estimation of on- and off-farm labour supply equations for Dutch dairy farmers AgEcon Ooms, Daan L.; Hall, Alastair R.. This research focuses on the estimation of labour supply equations for Dutch dairy farmers that are suitable for policy simulations. Data availability leads to the fact that we can not estimate structural labour supply equations. We show how to derive reduced form equations suitable for policy simulations. In this research we use the panel data sample selection estimation approach of Kyriazidou (1997) and Wooldridge (1995) to estimate the off-farm labour supply equation. The two lead to different estimation results and different simulation results based on these. Tipo: Conference Paper or Presentation Palavras-chave: Econometrics; Panel Data; Sample Selection; Labour Supply; CAP Reform; Labor and Human Capital; C23; C24; C51; C53; D13; J22; Q12; Q18. Ano: 2005 URL: http://purl.umn.edu/19434 Agricultural Productivity and Anticipated Climate Change in Sub-Saharan Africa: A Spatial Sample Selection Model AgEcon Ward, Patrick S.; Florax, Raymond J.G.M.; Flores-Lagunes, Alfonso. A cereal yield response function is estimated conditional upon environmental and topographical features to detect the effects of spatial heterogeneity and spatial dependence in explaining agricultural productivity across Sub-Saharan Africa. Controlling for direct and localized spillover effects, we then estimate the effect that projected changes in temperature and precipitation as a result of global climate change will have on agricultural production. We find that the estimated declines found in the climatological literature may overestimate actual declines, and factors such as spatial heterogeneity (i.e., country fixed effects) are profoundly more important to agricultural production. Tipo: Conference Paper or Presentation Palavras-chave: Agricultural Production; Climate Change; Applied Spatial Econometrics; Sample Selection; Generalized Method of Moments Estimation; Environmental Economics and Policy; Productivity Analysis; I3; Q18; C50. Ano: 2010 URL: http://purl.umn.edu/61635 Impacts of Weather and Time Horizon Selection on Crop Insurance Ratemaking: A Conditional Distribution Approach AgEcon Woodard, Joshua D.. An important issue in the agricultural actuarial literature is the extent to which sample period selection affects the accuracy of insurance rating. A conditional Weibull distribution approach is developed which explicitly models the interaction of weather, technology, and other variables on probabilistic yield outcomes to address this issue. Results from an application with an extensive producer-level yield dataset representing commercial-scale Illinois firms suggest that the impact of weather heterogeneity on risk estimation across reasonable samples is likely not as great as is often claimed. The results also suggest that yield risk is decreasing significantly through time, and indicate the presence of trend acceleration. A rating analysis indicates... Tipo: Conference Paper or Presentation Palavras-chave: Conditional Weibull Distribution; Conditional Production Function; Catastrophic Risk Modeling; Sample Selection; Yield Risk; Crop Insurance; Ratemaking; Crop Production/Industries; Risk and Uncertainty. Ano: 2011 URL: http://purl.umn.edu/103929 Innovation Behaviour At Farm Level – Selection And Identification AgEcon Sauer, Johannes; Zilberman, David. Using a squential logit model and a mixed-effects logistic regression approach this empirical study investigates factors for the adoption of automatic milking technology (AMS) at the farm level accounting for problems of sequential sample selection and behaviour identification. The results suggest the importance of the farmer’s risk perception, significant effects of peer-group behaviour, and a positive impact of previous innovation experiences. Tipo: Conference Paper or Presentation Palavras-chave: Innovation; Dairy Farming; Sample Selection; Mixed-Effects Modelling.; Marketing; D21; Q12; C5. Ano: 2009 URL: http://purl.umn.edu/51073 Registros recuperados: 4 Primeira ... 1 ... Última

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