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Registros recuperados: 16
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The FAST Method: Estimating Unconditional Demand Elasticities for Processed Foods in the Presence of Fixed Effects AgEcon
Bergtold, Jason S.; Akobundu, Eberechukwu; Peterson, Everett B..
This study estimates a set of unconditional own-price and expenditure elasticities across time for 49 processed food categories using scanner data and the FAST multi-stage demand system with fixed effects across time. Estimated own-price elasticities are generally much larger, in absolute terms, than previous estimates, while our expenditure elasticities are generally much lower. The use of disaggregated product groupings, scanner data, and the estimation of unconditional elasticities likely accounts for these differences. Results of the study suggest providing more disaggregate product-level demand elasticities could aid in the economic analysis of issues relating to industry competitiveness or the impact of public policy.
Tipo: Journal Article Palavras-chave: Demand elasticities; Indirect separability; Processed foods; Agribusiness.
Ano: 2004 URL: http://purl.umn.edu/31108
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Introducing Asymmetric Separability in the FAST Multistage Demand System AgEcon
Bergtold, Jason S.; Peterson, Everett B..
This paper determines the set of parametric restrictions required to maintain flexibility under asymmetric weak separability for the flexible and separable translog (FAST) multistage demand system. Because there is not a unique set of parametric restrictions that ensures separability and the values of the unconditional price and expenditure elasticities depend on the parametric restrictions imposed, the appropriateness of a chosen set of parametric restrictions should be tested empirically. An empirical example that illustrates how the choice of parametric restrictions affects the estimation results and the functional form of the price and expenditure elasticities is provided.
Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/19497
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Examining the Reliability of Logistic Regression Estimation Software AgEcon
Mo, Lijia; Bergtold, Jason S.; Featherstone, Allen M..
Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2010 URL: http://purl.umn.edu/90849
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Demographic and Management Factors Affecting the Perceived Benefit of Winter Cover Crops in the Southeast AgEcon
Bergtold, Jason S.; Duffy, Patricia A.; Hite, Diane; Raper, Randy L..
The inclusion of cover crops in cropping systems brings both direct and indirect costs and benefits. Farmers will adopt and continue to utilize cover crops in their production systems as long as the perceived benefit of using cover crops (e.g. increased yield, higher profits, and improved soil productivity) is positive. The perceived benefits, while partially based on actual changes, may be influenced by demographic, economic and management factors. The purpose of this paper is to examine the demographic and management factors affecting the perceived benefit, in terms of improved crop yield, of using winter annual cover crops. A tobit model is estimated using survey data of Alabama farmers examining cover crop use and management. The model examines the...
Tipo: Conference Paper or Presentation Palavras-chave: Cover Crops; Conservation; Adoption Process; Tobit Model; Value of Information; Farmer; Crop Production/Industries.
Ano: 2008 URL: http://purl.umn.edu/6424
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Farmers’ Willingness to Grow Switchgrass as a Cellulosic Bioenergy Crop: A Stated Choice Approach AgEcon
Fewell, Jason E.; Bergtold, Jason S.; Williams, Jeffery R..
Farmers’ Willingness to Grow Switchgrass as a Cellulosic Bioenergy Crop: A Stated Choice Approach Agriculture’s role as a source of feedstocks in a potential lignocellulosic-based biofuel industry is a critical economic issue. Several studies have assessed the technical feasibility of producing bioenergy crops on agricultural lands. However, few of these studies have assessed farmers’ willingness to produce or supply bioenergy crops or crop residues. Biomass markets for bioenergy crops do not exist, and developing these markets may take several years. Therefore, an important, yet unaddressed question is under what contractual or pricing arrangements farmers will grow biomass for bioenergy in these nascent markets. The purpose of this paper is to examine...
Tipo: Conference Paper or Presentation Palavras-chave: Biofuels; Cellulosic; Biomass; Switchgrass; Farmers; Willingness to Pay; Crop Production/Industries; Production Economics; Resource /Energy Economics and Policy.
Ano: 2011 URL: http://purl.umn.edu/109776
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Contract Grazing on Winter Annuals: Risks and Returns for Cattle Owners AgEcon
Anand, Manik; Duffy, Patricia A.; Bergtold, Jason S.; Bransby, David; Shoemaker, Carla.
Critical factors affecting risk and profitability for cattle owners under contract grazing include cattle weight at purchase and time spent on pasture and feedlot. Buying lighter animals and placing them in pastures before sending them to feedlot is the most profitable as well as least risky option. Even in the least risky scenario, the cattle owner would still incur losses 28% of the times. The results also show a possibility that at contract-grazing rates of $0.41 per pound of gain or more, the cattle owner would place cattle directly on the feedlot, bypassing the pasture.
Tipo: Conference Paper or Presentation Palavras-chave: Contract grazing; Risks; Returns; Farm Management; Livestock Production/Industries; Q12.
Ano: 2011 URL: http://purl.umn.edu/98752
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Bernoulli Regression Models: Re-examining Statistical Models with Binary Dependent Variables AgEcon
Bergtold, Jason S.; Spanos, Aris.
The classical approach for specifying statistical models with binary dependent variables in econometrics using latent variables or threshold models can leave the model misspecified, resulting in biased and inconsistent estimates as well as erroneous inferences. Furthermore, methods for trying to alleviate such problems, such as univariate generalized linear models, have not provided an adequate alternative for ensuring the statistical adequacy of such models. The purpose of this paper is to re-examine the underlying probabilistic foundations of statistical models with binary dependent variables using the probabilistic reduction approach to provide an alternative approach for model specification. This re-examination leads to the development of the Bernoulli...
Tipo: Conference Paper or Presentation Palavras-chave: Bernoulli Regression Model; Logistic regression; Generalized linear models; Discrete choice; Probabilistic reduction approach; Model specification; Research Methods/ Statistical Methods.
Ano: 2005 URL: http://purl.umn.edu/19282
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The Conservation Decision: Economics of Conservation and Precision Agriculture (PowerPoint) AgEcon
Bergtold, Jason S..
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries.
Ano: 2007 URL: http://purl.umn.edu/8059
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Farmers' Willingness to Grow Cover Crops: Examining the Economic Factors of Adoption in Alabama AgEcon
Bergtold, Jason S.; Fewell, Jason E.; Duffy, Patricia A..
The inclusion of cover crops in cropping systems brings both direct and indirect costs and benefits. The literature has shown that cover crops can improve soil conservation and productivity, potentially improving cash crop yields and decreasing cash crop production costs. Farmers will adopt cover crops if the net economic benefit of utilizing them is positive. This study examines farmers’ willingness to grow cover crops as a soil conservation practice and to examine the socio-economic factors affecting their decision. Survey data collected in 2007-8 from Alabama farmers about cover crop adoption and management is utilized to estimate a cover crop adoption model.
Tipo: Conference Paper or Presentation Palavras-chave: Cover crops; Conservation; Adoption; Generalized ordered logit; Crop Production/Industries; Environmental Economics and Policy; Farm Management; Land Economics/Use; Production Economics.
Ano: 2010 URL: http://purl.umn.edu/61486
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THE FAST METHOD: ESTIMATING UNCONDITIONAL DEMAND ELASTICITIES FOR PROCESSED FOOD IN THE PRESENCE OF FIXED EFFECTS AgEcon
Bergtold, Jason S.; Akobundu, Eberechukwu; Peterson, Everett B..
This study estimated a set of unconditional own-price and expenditure elasticities for 49 processed food categories using scanner data and the FAST multistage demand system. Overall, our estimated own-price and expenditure elasticities are generally much larger, in absolute terms, than previous estimates. The use of disaggregated product groupings and the estimation of unconditional elasticities accounts for these higher estimates. Over half of the own-price elasticities are larger, on an absolute basis, than 0.9. Providing more disaggregate product level demand elasticities could aid in the economic analysis of issues relating to industry competitiveness or the impact of public policy.
Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis.
Ano: 2003 URL: http://purl.umn.edu/21893
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Sample Size and Robustness of Inferences from Logistic Regression in the Presence of Nonlinearity and Multicollinearity AgEcon
Bergtold, Jason S.; Yeager, Elizabeth A.; Featherstone, Allen M..
The logistic regression models has been widely used in the social and natural sciences and results from studies using this model can have significant impact. Thus, confidence in the reliability of inferences drawn from these models is essential. The robustness of such inferences is dependent on sample size. The purpose of this study is to examine the impact of sample size on the mean estimated bias and efficiency of parameter estimation and inference for the logistic regression model. A number of simulations are conducted examining the impact of sample size, nonlinear predictors, and multicollinearity on substantive inferences (e.g. odds ratios, marginal effects) and goodness of fit (e.g. pseudo-R2, predictability) of logistic regression models. Findings...
Tipo: Conference Paper or Presentation Palavras-chave: Logistic Regression Model; Multicollinearity; Nonlinearity; Robustness; Small Sample Bias; Research Methods/ Statistical Methods.
Ano: 2011 URL: http://purl.umn.edu/103771
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Limited Access to Conservation: Limited- Resource Farmer Participation in the Conservation Security Program in the Southeast AgEcon
Bergtold, Jason S.; Molnar, Joseph J..
The paper examines the joint adoption of conservation tillage, crop rotations, and soil testing by small and limited-resource farmers in the Southeast. The objectives are to determine the potential eligibility of small farmers for the Conservation Security Program, examine socioeconomic factors affecting adoption, and assess the interdependence between adopting different conservation practices. Results indicate that conservation management, ethnicity, and farm characteristics affect practice adoption. Of the producers surveyed in the study, 7% meet Conservation Security Program eligibility requirements, while the other 93% have less than a 20% likelihood of adopting the needed practices to qualify.
Tipo: Journal Article Palavras-chave: Adoption; Conservation; Conservation Security Program; Conservation tillage; Limited-resource farmers; Logistic regression; Small farms; Soil testing; Agribusiness; Agricultural and Food Policy; Community/Rural/Urban Development; Crop Production/Industries; Farm Management; Land Economics/Use; Productivity Analysis; C35; Q12; Q58.
Ano: 2010 URL: http://purl.umn.edu/90670
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Demographic and Management Factors Affecting the Adoption and Perceived Yield Benefit of Winter Cover Crops in the Southeast AgEcon
Bergtold, Jason S.; Duffy, Patricia A.; Hite, Diane; Raper, Randy L..
The inclusion of cover crops in cropping systems brings direct and indirect costs and benefits. Farmers will adopt and utilize cover crops as long as the perceived benefit of using them is positive. This paper examines the demographic and management factors affecting the adoption and perceived benefit (in terms of improved crop yield) of using winter annual cover crops. A double selectivity model of cover crop adoption and perceived yield gain was estimated using survey data of Alabama farmers examining cover crop use and management. Results may help in understanding factors shaping farmers’ perceptions, adoption, and retention of cover crops.
Tipo: Article Palavras-chave: Adoption; Conservation; Cover crops; Double selectivity model; Perceived yield gain; Tobit model; Environmental Economics and Policy; Farm Management; Q12; Q15; Q55.
Ano: 2012 URL: http://purl.umn.edu/120443
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Farmers’ Willingness to Grow Sweet Sorghum as a Cellulosic Bioenergy Crop: A Stated Choice Approach AgEcon
Bergtold, Jason S.; Fewell, Jason E.; Williams, Jeffery R..
Biofuel production must increase to 36 billion gallons by the year 2022, according to government mandates. The majority of this fuel must be produced from “advanced” or second-generation biofuel feedstocks after 2015. Advanced biofuel feedstocks include annual crops such as sweet sorghum. Kansas farmers are poised to be major producers of sweet sorghum for biofuels. A stated choice survey was administered to Kansas farmers to assess their willingness to grow sweet sorghum for biofuels under various contracting scenarios. Results show that farmers are willing to grow biomass for bioenergy under contract and that insurance availability plays an important role in their decision.
Tipo: Conference Paper or Presentation Palavras-chave: Bioenergy; Cellulosic; Farm data; Stated choice; Sweet sorghum; Crop Production/Industries; Farm Management; Production Economics; Resource /Energy Economics and Policy.
Ano: 2011 URL: http://purl.umn.edu/108068
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Networking Your Way to a Better Prediction: Effectively Modeling Contingent Valuation Survey Data AgEcon
Bergtold, Jason S.; Taylor, Daniel B.; Bosch, Darrell J..
The purpose of this paper is to empirically compare the out-of-sample predictive capabilities of artificial neural networks, logit and probit models using dichotmous choice contingent valuation survey data. The authors find that feed-forward backpropagation artificial neural networks perform relatively better than the binary logit and probit models with linear index functions. In addition, guidelines for modeling contingent valuation survey data and how to estimate median WTP using artificial neural networks are provided.
Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/22152
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Producer Willingness to Supply Biomass: the Effects of Price and Producer Characteristics AgEcon
Altman, Ira J.; Bergtold, Jason S.; Sanders, Dwight R.; Johnson, Thomas G..
This paper presents research results based on data from two biomass producer surveys collected from mid Missouri and southern Illinois. Specific topics of interest include the effect of price and producer characteristics on willingness to supply, assets producers currently own and services they may be willing to provide if bioenergy industries develop. A series of censored tobit regressions are utilized to analyze willingness to supply results under three price scenarios. Marginal effects of a one dollar change in the biomass price are shown to increase the willingness to supply by 0.5 to 2 percent.
Tipo: Conference Paper or Presentation Palavras-chave: Biomass; Willingness to supply; Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/98804
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