Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 9
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
Are High-Tech Employment and Natural Amenities Linked?: Answers from a Smoothed Bayesian Spatial Model AgEcon
Dorfman, Jeffrey H.; Patridge, Mark D.; Galloway, Hamilton.
We investigate the recently advanced theory that high-technology workers are drawn to high amenity locations and then the high-technology jobs follow the workers. Using a novel data set that tracks high-technology job growth by U.S. county, we estimate spatial parameters of the response of job growth to the level of local natural amenities. We achieve this estimation with a reasonably new class of models, smooth coefficient models. The model is employed in a spatial setting to allow for smooth, but nonparametric response functions to key variables in an otherwise standard regression model. With spatial data this allows for flexible modeling such as a unique place-specific effects to be estimated for each location, and also for the responses to key...
Tipo: Conference Paper or Presentation Palavras-chave: Bayesian econometrics; Employment growth; High technology; Smooth coefficient models; Spatial modeling.; Labor and Human Capital; Resource /Energy Economics and Policy.
Ano: 2008 URL: http://purl.umn.edu/6459
Imagem não selecionada

Imprime registro no formato completo
Bayesian Estimation of a Censored AIDS Model for Whole Grain Products AgEcon
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
Imagem não selecionada

Imprime registro no formato completo
DEMAND FOR BREAKFAST CEREALS: WHOLE GRAINS GUIDANCE AND FOOD CHOICE AgEcon
Ishdorj, Ariun; Jensen, Helen H..
When using household-level data to examine consumer 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 can lead to estimators with poor statistical properties and estimates that lead to poor policy decisions. In this paper we investigate household demand for four types of breakfast cereals, such as whole grain ready-to-eat, non-whole grain ready-to-eat, whole grain hot and non-whole grain hot cereals, using a censored Al- most Ideal Demand System (AIDS) and estimate the parameters of the model via Bayesian methods. Using household level scanner data (ACNielsen Homescan) we find that demand for all types of breakfast...
Tipo: Conference Paper or Presentation Palavras-chave: AIDS model; Bayesian econometrics; Censored; Cereals; Whole grains; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Health Economics and Policy; C11; C34; D12.
Ano: 2010 URL: http://purl.umn.edu/116445
Imagem não selecionada

Imprime registro no formato completo
Do Farmers Hedge Optimally or by Habit? A Bayesian Partial-Adjustment Model of Farmer Hedging AgEcon
Dorfman, Jeffrey H.; Karali, Berna.
Hedging is one of the most important risk management decisions that farmers make and has a potentially large role in the level of profit eventually earned from farming. Using panel data from a survey of Georgia farmers that recorded their hedging decisions for 4 years on four crops, we examine the role of habit, demographics, farm characteristics, and information sources on the hedging decisions made by 57 different farmers. We find that the role of habit varies widely and that estimation of a single habit effect suffers from aggregation bias. Thus, modeling farmer-level heterogeneity in the examination of habit and hedging is crucial.
Tipo: Journal Article Palavras-chave: Bayesian econometrics; Habit formation; Hedging decisions; Information sources; Agribusiness; Agricultural Finance; Farm Management; Financial Economics; Labor and Human Capital; Production Economics; Productivity Analysis; Research Methods/ Statistical Methods; C11; Q12; Q14.
Ano: 2010 URL: http://purl.umn.edu/100519
Imagem não selecionada

Imprime registro no formato completo
Do Farmers Hedge Optimally or by Habit? A Bayesian Partial-Adjustment Model of Farmer Hedging AgEcon
Dorfman, Jeffrey H.; Karali, Berna.
Hedging is one of the most important risk management decisions that farmers make and has a potentially large role in the level of profit eventually earned from farming. Using panel data from a survey of Georgia farmers that recorded their hedging decisions for four years on three crops we examine the role of habit, demographics, farm characteristics, and information sources on the hedging decisions made by 106 different farmers. We find that the role of habit varies widely. Information sources are shown to have significant and large effects on the chosen hedge ratios. The farmer's education level, attitude toward technology adoption, farm profitability, and the ratio of acres owned to acres farmed also play important roles in hedging decisions.
Tipo: Conference Paper or Presentation Palavras-chave: Bayesian econometrics; Hedging decisions; Habit formation; Information sources; Agricultural Finance.
Ano: 2008 URL: http://purl.umn.edu/37596
Imagem não selecionada

Imprime registro no formato completo
Do Inventory and Time-to-Delivery Effects Vary Across Futures Contracts? Insights from a Smoothed Bayesian Estimator AgEcon
Karali, Berna; Dorfman, Jeffrey H.; Thurman, Walter N..
Replaced with revised version of paper 07/15/08.
Tipo: Conference Paper or Presentation Palavras-chave: Volatility; Theory of storage; Futures markets; Bayesian econometrics; Lumber; Marketing.
Ano: 2008 URL: http://purl.umn.edu/6084
Imagem não selecionada

Imprime registro no formato completo
Does Futures Price Volatility Differ Across Delivery Horizon? AgEcon
Karali, Berna; Dorfman, Jeffrey H.; Thurman, Walter N..
We study the difference in the volatility dynamics of CBOT corn, soybeans, and oats futures prices across different delivery horizons via the smoothed Bayesian estimator of Karali, Dorfman, and Thurman (2010). We show that the futures price volatilities in these markets are affected by the inventories, time to delivery, and the crop progress period. Some of these effects vary across delivery horizons. Further, it is shown that the price volatility is higher before the harvest starts in most of the cases compared to the volatility during the planting period. These results have implications for hedging, options pricing, and the setting of margin requirements.
Tipo: Conference Paper or Presentation Palavras-chave: Bayesian econometrics; Futures markets; Seasonality; Theory of storage; Volatility; Agribusiness; Agricultural and Food Policy; Agricultural Finance; Consumer/Household Economics; Demand and Price Analysis; Farm Management; Financial Economics; Marketing; Research Methods/ Statistical Methods; Risk and Uncertainty.
Ano: 2009 URL: http://purl.umn.edu/53036
Imagem não selecionada

Imprime registro no formato completo
Intra-Household Allocation and Consumption of WIC-Approved Foods: A Bayesian Approach AgEcon
Ishdorj, Ariun; Jensen, Helen H.; Tobias, Justin.
WIC, the Special Supplemental Nutrition Program for Women, Infants, and Children, is a widely studied public food assistance program that aims to provide foods, nutrition education and other services to at-risk, low-income children and pregnant, breastfeeding and postpartum women. From a policy perspective, it is of interest to assess the efficacy of the WIC program - how much, if at all, does the program improve the nutritional outcomes of WIC families? In this paper we address two important issues related to the WIC program that have not been extensively addressed in the past. First, although the WIC program is primarily devised with the intent of improving the nutrition of "target" children and mothers, it is possible that WIC may also change the...
Tipo: Working or Discussion Paper Palavras-chave: Nutrition; WIC; Bayesian econometrics; Treatment-response; Food Consumption/Nutrition/Food Safety.
Ano: 2007 URL: http://purl.umn.edu/9239
Imagem não selecionada

Imprime registro no formato completo
Looking for Cattle and Hog Cycles through a Bayesian Window AgEcon
Dorfman, Jeffrey H.; Park, Myung D..
The agricultural economics literature, both academic and trade, has discussed the assumed presence of cycles in livestock markets such as cattle and hogs for a very long time. Since Jarvis (1974), there has been considerable discussion over how these cycles impact optimal economic decision making. Subsequent studies such as Rucker, Burt, and LaFrance (1984), Hayes and Schmitz (1987), Foster and Burt (1992), Rosen, Murphy, and Scheinkman (1994), and Hamilton and Kastens (2000) have all investigated some aspect of how biological factors, economic events, or economic actions could be causes of and/or responses to cycles in hog and cattle inventories. There has also been debate, again both in the academic and trade literature, over the length of the cycle(s)...
Tipo: Conference Paper or Presentation Palavras-chave: Bayesian econometrics; Cattle cycles; Hog cycles.; Agribusiness; Livestock Production/Industries; Production Economics.
Ano: 2009 URL: http://purl.umn.edu/49278
Registros recuperados: 9
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional