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| Registros recuperados: 18 | |
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| Canova, Fabio. |
| The paper proposes a technique to jointly tests for groupings of unknown size in the cross sectional dimension of a panel and estimates the parameters of each group, and applies it to identifying convergence clubs in income per-capita. The approach uses the predictive density of the data, conditional on the parameters of the model. The steady state distribution of European regional data clusters around four poles of attraction with different economic features. The distribution of income per-capita of OECD countries has two poles of attraction and each group has clearly identifiable economics characteristics. In diesem Beitrag wird eine Methode vorgestellt, mit der es möglich ist, Gruppierungen von Querschnittsdaten von zunächst unbekanntem Umfang... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Heterogeneities; Panel Data; Predictive Density; Income Inequality; International Development; C11; D90; 047. |
| Ano: 2001 |
URL: http://purl.umn.edu/26361 |
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| Gocht, Alexander; Roder, Norbert. |
| In Germany, since several decades the RAUMIS modelling system is applied for policy impact assessments to measure the impact of agriculture on the environment. A disaggregation at the municipality level with more than 9.600 administrative units, instead of currently used 316 counties, would tremendously improve the environmental impact analysis. Two sets of data are used for this purpose. The first are geo-referenced data, that are, however, incomplete with respect its coverage of production activities in agriculture. The second set is the micro census statistic itself, that has a full coverage, but data protection rules (DPR) prohibit its straightforward use. The paper show how this bottleneck can be passed to obtain a reliable modelling data set at... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Highest Posterior Density estimator (HPD); RAUMIS; Down scaling; Research Methods/ Statistical Methods; C11; C61; C81; Q15. |
| Ano: 2011 |
URL: http://purl.umn.edu/115982 |
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| Ghazalian, Pascal L.; Larue, Bruno; West, Gale E.. |
| This study investigates the determinants affecting producers’ adoption of some Best Management Practices (BMPs). Priors about the signs of certain variables are explicitly accounted for by testing for inequality restrictions through importance sampling. Education, gender, age, and on-farm residence are found to have significant effects on the adoption of some BMPs. Farms with larger animal production are more apt to implement manure management practices, crop rotation, and riparian buffer strips. Also, farms with larger cultivated acres are more inclined to implement herbicide control practices, crop rotation, and riparian buffer strips. Belonging to an agro-environment club has a positive impact for most BMPs. |
| Tipo: Journal Article |
Palavras-chave: Adoption; Bayesian analysis; Best management practices; Priors; Runoff; Water quality; Agribusiness; Agricultural and Food Policy; Crop Production/Industries; Farm Management; Food Consumption/Nutrition/Food Safety; Land Economics/Use; Livestock Production/Industries; Q12; Q25; C11. |
| Ano: 2009 |
URL: http://purl.umn.edu/56655 |
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| Ishdorj, Ariun; Jensen, Helen H.. |
| When using household-level data in examining consumer's demand it is common to find that consumers purchase only a subset of the available goods, setting the demand for the remaining goods to zero. Ignoring such censoring of the dependent variables in the estimation can lead to biased parameter estimates. In this paper we investigate the household's demand for six types of whole grain and non-whole grain breakfast cereals and products using a censored Almost Ideal Demand System (AIDS) and estimate the parameters of the demand system via Bayesian methods. Using 2006 ACNielsen Homescan data we find that demand for whole grain and non-whole grain ready-to-eat cereals is less responsive to changes in prices; demand for whole-grain bars and non-whole grain hot... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: AIDS model; Bayesian econometrics; Censored; Cereals; Whole grains; Demand and Price Analysis; C11; C34; D12. |
| Ano: 2008 |
URL: http://purl.umn.edu/6075 |
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| Roeder, Norbert; Gocht, Alexander. |
| Since several decades the RAUMIS modelling system is applied for policy impact assessments to measure the impact of agriculture on the environment. A disaggregation at the municipality level with more than 9.000 administrative units, instead of currently used 316 counties, would tremendously improve the environmental impact analysis. Two sets of data are used for this purpose. The first are geo-referenced data, that are, however, incomplete with respect its coverage of production activities in agriculture. The second set is the micro census statistic itself, that has a full coverage, but data protection rules (DPR) prohibit its straightforward use. The paper show how this bottleneck can be passed to obtain a reliable modelling data set at municipality... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Highest Posterior Density estimator (HPD); RAUMIS; Down scaling; Agricultural and Food Policy; C11; C61; C81; Q15. |
| Ano: 2011 |
URL: http://purl.umn.edu/99248 |
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| Rigby, Dan; Burton, Michael P.; Young, Trevor. |
| The dispute between the US and EU over GM foods at the WTO is examined in terms of the issues it raises about protectionism and environmental protection and precaution. The issue of whether GM, GM Derived and Non-GM foods are equivalent to each other is examined using data from a national choice modelling study in the UK. These categories of food are critical since they underpin the EU's new food labelling regime which it hoped would defuse the WTO dispute. The results are analysed using a Bayesian mixed logit model which allows greater flexibility in the modelling of preference distributions. This is particularly crucial where, as in this case, bi-modal distributions are identified with some indifferent or mildly averse to GM foodtypes while others are... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: GM food; Mixed logit; WTP; Bayesian; WTO; International Relations/Trade; C11; C24; C25; D12; Q18. |
| Ano: 2005 |
URL: http://purl.umn.edu/24447 |
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| Gocht, Alexander; Roder, Norbert. |
| In Germany, since several decades the RAUMIS modelling system is applied for policy impact assessments to measure the impact of agriculture on the environment. A disaggregation at the municipality level with more than 9.600 administrative units, instead of currently used 316 counties, would tremendously improve the environmental impact analysis. Two sets of data are used for this purpose. The first are geo-referenced data, that are, however, incomplete with respect its coverage of production activities in agriculture. The second set is the micro census statistic itself, that has a full coverage, but data protection rules (DPR) prohibit its straightforward use. The paper show how this bottleneck can be passed to obtain a reliable modelling data set at... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Highest Posterior Density estimator (HPD); RAUMIS; Down scaling; Research Methods/ Statistical Methods; C11; C61; C81; Q15. |
| Ano: 2011 |
URL: http://purl.umn.edu/114824 |
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| Otto, Lars. |
| We present an economic decision support model, based on a Bayesian network, for Mycoplasma infection in slaughter swine production. The model describes the various risk factors for Mycoplasma infection and their interactions. This leads to a stochastic determination of the consequences of productivity factors, and this again results in stochastic economic consequences when changing the risk factors or engaging in control arrangements. We use the model to calculate how estimated prevalence and level of Mycoplasma changes when we gather evidence from various veterinarian examinations, and we show how this influences the distribution of the economic results of a change in strategy to fight Mycoplasma. One result is that the profitability in fighting... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Decision support system; Bayesian network; Pig; Mycoplasma; Livestock Production/Industries; C11; D81; Q12. |
| Ano: 2005 |
URL: http://purl.umn.edu/24458 |
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| Howitt, Richard E.; Reynaud, Arnaud. |
| In this paper we develop a dynamic data-consistent way for estimating agricultural land use choices at a disaggregate level (district-level), using more aggregate data (regional-level). The disaggregation procedure requires two steps. The first step consists in specifying and estimating a dynamic model of land use at the regional level. In the second step, we disaggregate outcomes of the aggregate model using maximum entropy (ME). The ME disaggregation procedure is applied to a sample of California data. The sample includes 6 districts located in Central Valley and 8 possible crops, namely: Alfalfa, Cotton, Field, Grain, Melons, Tomatoes, Vegetables and Subtropical. The disaggregation procedure enables the recovery of land use at the district-level with an... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Disaggregation; Bayesian method; Maximum entropy; Land use; Production Economics; C11; C44; Q12. |
| Ano: 2002 |
URL: http://purl.umn.edu/24961 |
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| Registros recuperados: 18 | |
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