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CHARACTERIZING UNCERTAIN OUTCOMES WITH THE RESTRICTED HT TRANSFORMATION AgEcon
Moffitt, L. Joe.
Restrictions on the hyperbolic trigonometric (HT) transformation are imposed to guarantee that a probability density function is obtained from the maximum likelihood estimation. Performance of the restricted HT transformation using data generated from normal, beta, gamma, logistic, log-normal, Pareto, Weibull, order statistic, and bimodal populations is investigated via sampling experiments. Results suggest that the restricted HT transformaltion is sufficiently flexible to compete with the actual population distributions in most cases. Application of the restricted HT transformation is illustrated by characterizing uncertain net income per acre for community-supported agriculture farms in the northeastern United States.
Tipo: Journal Article Palavras-chave: Farm management; Hyperbolic trigonometric transformation; Uncertainty; Farm Management; C2; Q1.
Ano: 2002 URL: http://purl.umn.edu/15074
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Risk premiums and GM traits AgEcon
Nolan, Elizabeth; Santos, Paulo.
An argument in favor of the development of genetically modified (GM) hybrids is that their presence is considered to be risk decreasing. On this basis, insurance premiums for corn growers in the United States who plant approved hybrids have been reduced. In this study we investigate, using a large dataset of experimental data compiled from reports of results from experimental field trials of corn hybrids by the State Agricultural Extension Services of ten universities over 20 years, whether the presence in a corn hybrid of a GM trait, or a combination of these traits, is likely to increase or decrease risk. The effects of input use on production uncertainty can be quantified through the specification and estimation of heteroskedastic production functions...
Tipo: Conference Paper or Presentation Palavras-chave: Production functions; Yield; Risk; Skewness; Corn; Genetically modified traits; Crop Production/Industries; Risk and Uncertainty; C2; Q12; Q16.
Ano: 2011 URL: http://purl.umn.edu/103692
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The economic relevance of climate variables in agriculture: The case of Spain AgEcon
Garcia, Maria; Viladrich-Grau, Montserrat.
We estimate how climate variables affect price and acreage of productive farmland using the Ricardian approach. Furthermore, we use our estimations to evaluate the joint effects of possible climate changes within the time horizon of 2010 and 2050. Our results show that the price of rainfed land in Spain tends to increase but rainfed acreage decreases. On the other hand, the effect on irrigated farmland price and acreage presents some mixed results, however, in the long run the dominant pattern is clearly increasing for both prices and acreage.
Tipo: Journal Article Palavras-chave: Climate change; Agricultural land prices and acreage; Agricultural and Food Policy; Q1; C2.
Ano: 2009 URL: http://purl.umn.edu/57291
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Modeling Electricity Prices: From the State of the Art to a Draft of a New Proposal AgEcon
Serati, Massimiliano; Manera, Matteo; Plotegher, Michele.
In the last decades a liberalization of the electric market has started; prices are now determined on the basis of contracts on regular markets and their behaviour is mainly driven by usual supply and demand forces. A large body of literature has been developed in order to analyze and forecast their evolution: it includes works with different aims and methodologies depending on the temporal horizon being studied. In this survey we depict the actual state of the art focusing only on the recent papers oriented to the determination of trends in electricity spot prices and to the forecast of these prices in the short run. Structural methods of analysis, which result appropriate for the determination of forward and future values are left behind. Studies have...
Tipo: Working or Discussion Paper Palavras-chave: Electricity Spot Prices; Autoregressive Models; GARCH Models; Regime Switching Models; Dynamic Factor Models; Demand and Price Analysis; Resource /Energy Economics and Policy; C2; C3; Q4.
Ano: 2008 URL: http://purl.umn.edu/44426
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MELE: MAXIMUM ENTROPY LEUVEN ESTIMATORS AgEcon
Paris, Quirino.
Multicollinearity hampers empirical econometrics. The remedies proposed to date suffer from pitfalls of their own. The ridge estimator is not generally accepted as a vital alternative to the ordinary least-squares (OLS) estimator because it depends upon unknown parameters. The generalized maximum entropy (GME) estimator of Golan, Judge and Miller depends upon subjective exogenous information that affects the estimated parameters in an unpredictable way. This paper presents novel maximum entropy estimators inspired by the theory of light that do not depend upon any additional information. Monte Carlo experiments show that they are not affected by any level of multicollinearity and dominate OLS uniformly. The Leuven estimators are consistent and...
Tipo: Working or Discussion Paper Palavras-chave: Multicollinearity; Mean squared error; Ordinary least squares; Generalized maximum entropy; Research Methods/ Statistical Methods; C2.
Ano: 2001 URL: http://purl.umn.edu/11991
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Convergence in Agriculture: Evidence from the European Regions AgEcon
Alexiadis, Stilianos.
Although there have been numerous studies on regional convergence, agriculture has received far less attention. In this study, the intention is to augment the existing literature by testing for convergence in agricultural productivity among the EU-26 regions. A low rate of absolute convergence is estimated over the period 1995-2004 whilst evidence of club convergence is apparent.
Tipo: Article Palavras-chave: Absolute and Club Convergence; Agriculture; European Union Regions; Agricultural and Food Policy; Q10; O47; C2.
Ano: 2010 URL: http://purl.umn.edu/118866
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Minimum Divergence Moment Based Binary Response Models: Estimation and Inference AgEcon
Mittelhammer, Ronald C.; Judge, George G.; Miller, Douglas J.; Cardell, N. Scott.
This paper introduces a new class of estimators based on minimization of the Cressie-Read (CR) power divergence measure for binary choice models, where neither a parameterized distribution nor a parameterization of the mean is specified explicitly in the statistical model. By incorporating sample information in the form of conditional moment conditions and estimating choice probabilities by optimizing a member of the set of divergence measures in the CR family, a new class of nonparametric estimators evolves that requires less a priori model structure than conventional parametric estimators such as probit or logit. Asymptotic properties are derived under general regularity conditions and finite sampling properties are illustrated by Monte Carlo sampling...
Tipo: Working or Discussion Paper Palavras-chave: Nonparametric binary response models and estimators; Conditional moment equations; Finite sample bias and precision; Squared error loss; Response variables; Cressie-Read statistic; Information theoretic methods; Research Methods/ Statistical Methods; C10; C2.
Ano: 2005 URL: http://purl.umn.edu/25020
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Kuhn-Tucker Estimation of Recreation Demand – A Study of Temporal Stability AgEcon
Bhattacharjee, Subhra; Kling, Catherine L.; Herriges, Joseph A..
The paper examines the Kuhn Tucker model in the context of estimating recreation demand when the choice set it very large. It examines the temporal stability of parameter estimates using multiple years of data on trips to 127 lakes in Iowa made by households in Iowa. The study finds that for the given dataset, the estimates derived from a Kuhn-Tucker model are largely stable over time.
Tipo: Conference Paper or Presentation Palavras-chave: Recreation demand; Kuhn-Tucker; Temporal Stability; Environmental Economics and Policy; C2; Q2.
Ano: 2009 URL: http://purl.umn.edu/49408
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Monetary Policy in India: Objectives, Reaction Function and Policy Effectiveness AgEcon
Singh, Kanhaiya; Kalirajan, Kaliappa P..
In the first part of this paper, the policy reaction functions of the Reserve Bank of India (RBI) have been modeled to see how policy stance decisions respond to the changes in the goal variables. In the second part, the transmission effects of RBI’s policy stances on the goal variables have been analyzed using the Granger causality test, and analysis of simple estimated models of relevant variables. It may be suggested from the results that the RBI should not be working simultaneously with instruments of quantity and price control and should shelve the cash reserve ratio (CRR) and concentrate more on price variables for conducting monetary policy.
Tipo: Journal Article Palavras-chave: Monetary policy; Granger block non-causality; India; Financial Economics; C2; E4; E5.
Ano: 2006 URL: http://purl.umn.edu/50149
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The Value of Terroir: Hedonic Estimation of Vineyard Sale Prices AgEcon
Cross, Robin M.; Plantinga, Andrew J.; Stavins, Robert N..
We examine the value of terroir, which refers to the special characteristics of a place that impart unique qualities to the wine produced. We do this by conducting a hedonic analysis of vineyard sales in the Willamette Valley of Oregon to ascertain whether site attributes, such as slope, aspect, elevation, and soil types, or designated appellations are more important determinants of price. We find that prices are strongly determined by sub-AVA appellation designations, but not by specific site attributes. These results indicate that the concept of terroir matters economically, although the reality of terroir – as proxied for by locational attributes – is not significant.
Tipo: Working or Discussion Paper Palavras-chave: Wine; Vineyard; Hedonic Price Analysis; Agricultural and Food Policy; C2; Q11.
Ano: 2011 URL: http://purl.umn.edu/101289
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