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Registros recuperados: 12 | |
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Bontemps, Christophe; Simioni, Michel; Surry, Yves R.. |
Many empirical studies challenged the parametric approach to estimate nonlinear house price models and to use instead nonparametric or semiparametric model specifications. In the area of environmental analysis using house price models, Stock (1991) and McMillen and Thorsen (2000) applied semi-parametric models to estimate the impact of hazardous wastes on house prices. Furthermore, estimating nonparametricaly house price models is gaining now additional momentum because Ekeland et al. (2002) provided a theoretical justification to use such an empirical approach to estimate hedonic price models. The objective of this paper is to assess the impact of agricultural pollution in a livestock intensive region of France using alternative non-parametric and... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Research Methods/ Statistical Methods. |
Ano: 2005 |
URL: http://purl.umn.edu/19547 |
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Bontemps, Christophe; Couture, Stephane; Favard, Pascal. |
The seasonal irrigation water demand under uncertainty, which lies at the core of this paper, is still very roughly known. We know, however, that irrigated agriculture accounts for a large proportion of water use, especially in many water-scarce areas. In this paper, we estimate the irrigation water demand, for various climatic conditions characterizing the distribution of the necessarily stochastic, demand functions under uncertainty. We use a dynamic programming model to represent the farmer's decision program under uncertainty. A crop-growth simulation model (EPIC-PHASE), provides the response function to the decisions taken and climatic events and is linked to a CRRA utility function representing the farmer's objective function. This model is used... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Resource /Energy Economics and Policy. |
Ano: 2001 |
URL: http://purl.umn.edu/20508 |
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Bontemps, Christophe; Bouamra-Mechemache, Zohra; Simioni, Michel. |
Both industry and firm characteristics influence the survival of a firm in an industry over time. Aging, size, structure are factors often discussed in the literature, but public intervention effects - through public quality labeling for example - may also have an effect that is examined here. We use data on French firms producing cheese under public quality label or not over the period 1990-2006. We perform a nonparametric estimation using Kaplan-Meier estimators as well as proportional hazard rate models to assess the impact of such factors on firms survival. Our results confirm existing finding on firm survival determinants. We also shed light on the effect of public intervention into that industry. More precisely, our focus on public quality labeling... |
Tipo: Conference Paper or Presentation |
Palavras-chave: Agribusiness. |
Ano: 2011 |
URL: http://purl.umn.edu/114263 |
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Registros recuperados: 12 | |
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