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Registros recuperados: 30
Primeira ... 12 ... Última
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Asymmetric Willingness-to-Pay Distributions for Livestock Manure AgEcon
Norwood, F. Bailey; Luter, Ryan L.; Massey, Raymond E..
The Environmental Protection Agency's new Concentrated Animal Feeding Operations (CAFO) regulations are forcing some farms to export livestock manure to off-farm acres. The regulation compliance cost depends on the willingness of neighboring crop producers to accept or pay for the manure. This study estimates a manure willingness-to-pay distribution for crop producers using a contingent valuation mail survey. A flexible parametric distribution is borrowed from the crop yield literature, which shows that manure willingness to pay is left-skewed. Most crop producers in our sample will pay a positive price close to the savings in commercial fertilizer, but approximately 25% require a payment before accepting manure.
Tipo: Journal Article Palavras-chave: Animal waste; Asymmetric distribution; Contingent valuation; Manure; Nonmarket valuation; Pollution; Willingness to pay; Environmental Economics and Policy.
Ano: 2005 URL: http://purl.umn.edu/30972
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BLAME IT ON THE WEATHER: COST AND DESIGN OF MANURE MANAGEMENT UNDER EXTREME WEATHER CONDITIONS ON NORTH CAROLINA SWINE FARMS AgEcon
Chvosta, Jan; Zering, Kelly D.; Norwood, F. Bailey.
The majority of pig farms in North Carolina use a lagoon-sprayfield system to manage manure. Although economical, the lagoon-sprayfield system is sensitive to weather conditions. This study examines the cost of manure management under extreme weather and scrutinizes National Resource Conservation Service (NRCS) design criteria and regulations.
Tipo: Conference Paper or Presentation Palavras-chave: Farm Management.
Ano: 2004 URL: http://purl.umn.edu/34706
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Can Calibration Reconcile Stated and Observed Preferences? AgEcon
Norwood, F. Bailey.
Hypothetical bias is a pervasive problem in stated-preference experiments. Recent research has developed two empirically successful calibrations to remove hypothetical bias, though the calibrations have not been tested using the same data or in a conjoint analysis. This study compares the two calibrations in a conjoint analysis involving donations to a public good. Results find the calibrations are biased predictors of true donations but that calibrated and uncalibrated models together provide upper and lower bounds to true donations.
Tipo: Journal Article Palavras-chave: Calibration; Experimental economics; Forecasting; Hypothetical bias; Public goods; Stated preference; Voluntary contributions; Research Methods/ Statistical Methods; Q51; H41.
Ano: 2005 URL: http://purl.umn.edu/43735
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Consumer Demand for a Ban on Antibiotic Drug Use in Pork Production AgEcon
Lusk, Jayson L.; Norwood, F. Bailey; Pruitt, J. Ross.
Consumer demand for a ban on subtherapeutic antibiotic use in pork production is measured using non-hypothetical choice experiments in a grocery store setting. Consumers are asked to choose between a regular pork chop plus a grocery coupon and an antibiotic-friendly pork chop without a coupon. Other consumers are asked to choose between a donation towards reducing antibiotic resistance and grocery coupons. These experiments reveal the private and public value consumers place on a ban, which is used with cost estimates to estimate the welfare impacts of a ban.
Tipo: Conference Paper or Presentation Palavras-chave: Consumer/Household Economics; Livestock Production/Industries.
Ano: 2006 URL: http://purl.umn.edu/35273
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Demand for Multimedia in the Classroom AgEcon
Boyer, Tracy A.; Briggeman, Brian C.; Norwood, F. Bailey.
This study elicits preferences for multimedia in the classroom for students and faculty members in agricultural economics. Employing an Internet-based conjoint ranking survey, the results show that students prefer multimedia instructional tools over a traditional chalkboard/whiteboard lecture format while faculty members do not. Neither students nor faculty members are enthusiastic about electronic textbooks, and students will accept them only if they save $80. Finally, preferences for multimedia are shown to differ with students who self-report differing note-taking abilities, preferences for chalkboard lectures, and the need for an engaging class. Successful multimedia adoption requires appropriate use and lowering costs for students.
Tipo: Journal Article Palavras-chave: Conjoint ranking; Instruction; Microeconomics; Multimedia instruction; Valuation; Demand and Price Analysis; Financial Economics; Institutional and Behavioral Economics; Research and Development/Tech Change/Emerging Technologies; Teaching/Communication/Extension/Profession; A22; Q19.
Ano: 2009 URL: http://purl.umn.edu/56663
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Demand for Multimedia in the Classroom: Do Students and Faculty Really Want it All? AgEcon
Boyer, Tracy A.; Briggeman, Brian C.; Norwood, F. Bailey.
Tipo: Conference Paper or Presentation Palavras-chave: Teaching/Communication/Extension/Profession.
Ano: 2008 URL: http://purl.umn.edu/6196
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Designing a Voluntary Beef Checkoff AgEcon
Norwood, F. Bailey; Winn, Chris; Chung, Chanjin; Ward, Clement E..
Recently, the U.S. Supreme Court considered whether the mandatory fees imposed by the beef checkoff violates the First Amendment. As a precaution, many states began forming voluntary beef checkoffs, where funds would be raised through voluntary contributions. This study conducted a survey of Oklahoma cattle producers to determine what type ofvoluntary checkoff design would receive the greatest support. The most popular checkoff placed a large emphasis on advertising and a slightly lower checkoff fee. The survey also tested the ability of a provision point mechanism to limit free-riding. The mechanism was not as effective as in other studies which used laboratory experiments.
Tipo: Journal Article Palavras-chave: Beef marketing; Checkoff; Free-rider; Provision point mechanism; Public good; Agricultural and Food Policy; Livestock Production/Industries.
Ano: 2006 URL: http://purl.umn.edu/10149
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Do Economic Restrictions Improve Forecasts? AgEcon
Murphy, Elizabeth A.; Norwood, F. Bailey; Wohlgenant, Michael K..
A previous study showed that imposing economic restrictions improves the forecasting ability of food demand systems, thus warranting their use even when rejected in-sample. This study attempts to determine whether this is due solely to the fact that restrictions improve degrees of freedom. Results indicate that restrictions improve forecasting ability even when not derived from economic theory, but theoretical restrictions forecast best.
Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis.
Ano: 2003 URL: http://purl.umn.edu/22208
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Do Economic Restrictions Improve Forecasts? AgEcon
Murphy, Elizabeth A.; Norwood, F. Bailey; Wohlgenant, Michael K..
A previous study showed that imposing economic restrictions improves the forecasting ability of food demand systems, thus warranting their use even when rejected in-sample. This study attempts to determine whether this is due solely to the fact that restrictions improve degrees of freedom. Results indicate that restrictions improve forecasting ability even when not derived from economic theory, but theoretical restrictions forecast best.
Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis.
Ano: 2002 URL: http://purl.umn.edu/35075
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Do Economic Restrictions Improve Forecasts? AgEcon
Murphy, Elizabeth A.; Norwood, F. Bailey; Wohlgenant, Michael K..
A previous study showed that imposing economic restrictions improves the forecasting ability of food demand systems, thus warranting their use even when they are rejected in-sample. This article evaluates whether this result is due to economic restrictions enhancing degrees of freedom or containing nonsample information. Results indicate that restrictions improve forecasting ability even when they are not derived from economic theory, but theoretical restrictions forecast best.
Tipo: Journal Article Palavras-chave: Demand systems; Economic restrictions; Forecasting; Representative consumer; B4; C1; C3; C5.
Ano: 2004 URL: http://purl.umn.edu/43447
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EVALUATING FORECASTS OF DISCRETE VARIABLES: PREDICTING CATTLE QUALITY GRADES AgEcon
Brorsen, B. Wade; Lusk, Jayson L.; Norwood, F. Bailey.
Little research has been conducted on evaluating out-of-sample forecasts of limited dependent variables. This study describes the large and small sample properties of two forecast evaluation techniques for limited dependent variables: receiver-operator curves and out-of-sample-log-likelihood functions. The methods are shown to provide identical model rankings in large samples and similar rankings in small samples. The likelihood function method is slightly better at detecting forecast accuracy in small samples, while receiver-operator curves are better at comparing forecasts across different data. By improving forecasts of fed-cattle quality grades, the forecast evaluation methods are shown to increase cattle marketing revenues by $2.59/head.
Tipo: Conference Paper or Presentation Palavras-chave: Marketing.
Ano: 2004 URL: http://purl.umn.edu/19017
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External Validity of Hypothetical Surveys and Laboratory Experiments AgEcon
Chang, Jae Bong; Lusk, Jayson L.; Norwood, F. Bailey.
We compare the ability of three preference elicitation methods (hypothetical choices, non-hypothetical choices, and non-hypothetical rankings) and three discrete-choice econometric models (the multinomial logit, the independent availability logit, and the random parameter logit) to predict actual retail shopping behavior in three different product categories (ground beef, wheat flour, and dishwashing liquid). Overall, across all methods, we find a reasonably high level of external validity. Our results suggest that the non-hypothetical elicitation approaches, especially the non-hypothetical ranking, outperformed the hypothetical choice experiment in predicting retail sales. We also find that the random parameter logit can have superior predictive...
Tipo: Conference Paper or Presentation Palavras-chave: Contingent valuation; Choice experiments; Experimental economics; External validity; Field experiment; Agribusiness; Consumer/Household Economics; Marketing; Research Methods/ Statistical Methods.
Ano: 2008 URL: http://purl.umn.edu/43600
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FORECASTING LIMITED DEPENDENT VARIABLES: BETTER STATISTICS FOR BETTER STEAKS AgEcon
Lusk, Jayson L.; Norwood, F. Bailey; Brorsen, B. Wade.
Little research has been conducted on evaluating out-of-sample forecasts of limited dependent variables. This study describes the large and small sample properties of two forecast evaluation techniques for limited dependent variables: receiver-operator curves and out-of-sample-log-likelihood functions. The methods are shown to provide identical model rankings in large samples and similar rankings in small samples. The likelihood function method is slightly better at detecting forecast accuracy in small samples, while receiver-operator curves are better at comparing forecasts across different data. By improving forecasts of fed-cattle quality grades, the forecast evaluation methods are shown to increase cattle marketing revenues by $2.59/head.
Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/34612
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Getting Something From Nothing: An Investigation of Beef Demand Expansion and Substitution in the Presence of Quality Heterogeneity AgEcon
Gunderson, Michael A.; Lusk, Jayson L.; Norwood, F. Bailey.
A relative increase in demand for quality can have one of two potentially countervailing effects: it can cause substitution of one quality for another and/or it might expand overall demand by bringing new consumers into the market. This article investigates demand expansion and substitution among beef qualities by exploiting the use of a no-purchase option in a nonhypothetical choice experiment involving real food and real money. A random parameters logit model, which permits very flexible substitution patterns, is used to show that expanding demand for high quality rib-eye steak increases revenue by a greater degree than expanding demand for low quality steak. Regardless of whether high or low quality demand is expanded, the expansion effect dominates the...
Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis.
Ano: 2005 URL: http://purl.umn.edu/19465
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HOW ARE CROP YIELDS DISTRIBUTED? AgEcon
Norwood, F. Bailey; Roberts, Matthew C.; Lusk, Jayson L..
Six popular crop yield distributions are compared to determine which best describes yield fluctuations out-of-sample. For 183 crop and county combinations, each distribution is estimated and ranked according to its log-likelihood function observed at out-of-sample observations. A semiparametric model dominates the contest for most crops and counties, likely due to its flexibility and treatment of heteroskedasticity. Most other models ranked lower because their variance equation performed poorly out-of-sample.
Tipo: Conference Paper or Presentation Palavras-chave: Crop Production/Industries.
Ano: 2002 URL: http://purl.umn.edu/19733
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HYPOTHESIS TESTING USING NUMEROUS APPROXIMATING FUNCTIONAL FORMS AgEcon
Norwood, F. Bailey; Lusk, Jayson L.; Ferrier, Peyton Michael.
While the combination of several or more models is often found to improve forecasts (Brandt and Bessler, Min and Zellner, Norwood and Schroeder), hypothesis tests are typically conducted using a single model approach 1 . Hypothesis tests and forecasts have similar goals; they seek to define a range over which a parameter should lie within a degree of confidence. If it is true that, on average, composite forecasts are more accurate than a single model's forecast, it might also be true that hypothesis tests using information from numerous models are, on average, more accurate in the sense of lower Type I and Type II errors than hypothesis tests using a single model.
Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2001 URL: http://purl.umn.edu/18964
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MODEL SELECTION CRITERIA USING LIKELIHOOD FUNCTIONS AND OUT-OF-SAMPLE PERFORMANCE AgEcon
Norwood, F. Bailey; Ferrier, Peyton Michael; Lusk, Jayson L..
Model selection is often conducted by ranking models by their out-of-sample forecast error. Such criteria only incorporate information about the expected value, whereas models usually describe the entire probability distribution. Hence, researchers may desire a criteria evaluating the performance of the entire probability distribution. Such a method is proposed and is found to increase the likelihood of selecting the true model relative to conventional model ranking techniques.
Tipo: Conference Paper or Presentation Palavras-chave: Research Methods/ Statistical Methods.
Ano: 2001 URL: http://purl.umn.edu/18947
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Model Selection for Discrete Dependent Variables: Better Statistics for Better Steaks AgEcon
Norwood, F. Bailey; Lusk, Jayson L.; Brorsen, B. Wade.
Little research has been conducted on evaluating out-of sample forecasts of discrete dependent variables. This study describes the large and small sample properties of two forecast evaluation techniques for discrete dependent variables: receiver-operator curves and out-of-sample log-likelihood functions. The methods are shown to provide identical model rankings in large samples and similar rankings in small samples. The likelihood function method is better at detecting forecast accuracy in small samples. By improving forecasts of fed cattle quality grades, the forecast evaluation methods are shown to increase cattle marketing revenues by $2.59/head.
Tipo: Journal Article Palavras-chave: Discrete dependent variables; Forecasting; Likelihood functions; Model selection; Out-of-sample; Quality grades; Receiver-operator curves; Agribusiness.
Ano: 2004 URL: http://purl.umn.edu/30912
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Modeling Beef Quality Heterogeneity AgEcon
Lusk, Jayson L.; Norwood, F. Bailey.
The effects of various supply and demand shifts on beef price, quantity, and industry welfare have been widely studied under the assumption of beef quality homogeneity. In this paper, we construct a model of the beef sector that incorporates differences in beef quality. The model is used to analyze the effect of supply and demand shifts on changes in prices and quantities of high-and low-quality beef and changes in revenue accruing to producers of high-and low-quality beef. Model results indicate that supply and demand shocks have the potential to alter the average quality of beef on the market and the price premium charged for high-quality beef, which has important implications for retailers selling quality-differentiated beef and producers selling...
Tipo: Journal Article Palavras-chave: Beef; Equilibrium displacement model; Multisector model; Quality heterogeneity; Q11; Q18.
Ano: 2005 URL: http://purl.umn.edu/43483
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Pesticide Productivity: Of Bugs and Biases AgEcon
Norwood, F. Bailey; Marra, Michele C..
Pesticide productivity is both important and difficult to measure. Typically, pesticide marginal products are estimated without information on the pest pressure. Three theoretical models are developed which suggest absence of such information may cause an underestimation of pesticide productivity. Using application frequency variables as a proxy for pest populations, we show that pesticide marginal products are higher when pest pressure is accounted for.
Tipo: Journal Article Palavras-chave: Damage abatement; Marginal product; Pesticide economics; Productivity; Unobserved variables; Crop Production/Industries.
Ano: 2003 URL: http://purl.umn.edu/31062
Registros recuperados: 30
Primeira ... 12 ... Última
 

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