SABIIA - Sistema Aberto e Integrado de Informação em Agricultura (Sabiia)

Fahs, Rafic; Cardell, N. Scott; Mittelhammer, Ronald C..

The purpose of this paper is to incorporate semiparametric alternatives to maximum likelihood estimation and inference in the context of unordered multinomial response data when in practice there is often insufficient information to specify the parametric form of the function linking the observables to the unknown probabilities. We specify the function linking the observables to the unknown probabilities using a very general flexible class of functions belonging to the Pearson system of cumulative distribution equations. In this setting we consider the observations as arising from a multinomial distribution characterized by one of the CDFs in the Pearson system. Given this situation, it is possible to utilize the concept of unbiased estimating functions...

A decomposition of China's productivity through calibration of an endogenous growth model

Palavras-chave: Demand and Price Analysis.

Ano: 2001

URL: http://purl.umn.edu/20742

Luckstead, Jeff; Choi, Seung Mo; Devadoss, Stephen; Mittelhammer, Ronald C..

A BAYESIAN ALTERNATIVE TO GENERALIZED CROSS ENTROPY SOLUTIONS FOR UNDERDETERMINED ECONOMETRIC MODELS

Palavras-chave: China; IST; Human capital; International Development; O30.

Ano: 2011

URL: http://purl.umn.edu/103072

Heckelei, Thomas; Mittelhammer, Ronald C.; Jansson, Torbjorn.

This paper presents a Bayesian alternative to Generalized Maximum Entropy (GME) and Generalized Cross Entropy (GCE) methods for deriving solutions to econometric models represented by underdetermined systems of equations. For certain types of econometric model specifications, the Bayesian approach provides fully equivalent results to GME-GCE techniques. However, in its general form, the proposed Bayesian methodology allows a more direct and straightforwardly interpretable formulation of available prior information and can reduce significantly the computational effort involved in finding solutions. The technique can be adapted to provide solutions in situations characterized by either informative or uninformative prior information.

Empirical Evidence Concerning the Finite Sample Performance of EL-Type Structural Equation Estimation and Inference Methods

Palavras-chave: Underdetermined Equation Systems; Maximum Entropy; Bayesian Priors; Structural Estimation; Calibration; Research Methods/ Statistical Methods; C11; C13; C51.

Ano: 2008

URL: http://purl.umn.edu/56973

Mittelhammer, Ronald C.; Judge, George G.; Schoenberg, Ron.

This paper presents empirical evidence concerning the finite sample performance of conventional and generalized empirical likelihood-type estimators that utilize instruments in the context of linear structural models characterized by endogenous explanatory variables. There are suggestions in the literature that traditional and non-traditional asymptotically efficient estimators based on moment equations may, for the relatively small sample sizes usually encountered in econometric practice, have relatively large biases and/or variances and provide an inadequate basis for estimation and inference. Given this uncertainty we use a range of data sampling processes and Monte Carlo sampling procedures to accumulate finite sample empirical evidence concerning...

THE APPLE JUICE CONCENTRATE ANTI-DUMPING CASE AGAINST CHINA: AN ESTIMATE OF CHANGE IN WASHINGTON'S REVENUES

Palavras-chave: Unbiased moment based estimation and inference; Empirical likelihood; Empirical exponential likelihood; Semiparametric models; Conditional estimating equations; Finite sample bias and precision; Squared error loss; Instrumental conditioning variables; Research Methods/ Statistical Methods; C10; C24.

Ano: 2003

URL: http://purl.umn.edu/25090

van Voorthuizen, Hilde; Cho, Sung-Yeol; Schotzko, R. Thomas; Mittelhammer, Ronald C..

Increasing volumes of apple juice concentrate imports from China into the U.S. began in the mid 90s as a result of low Chinese prices. In 1999, the U.S. Apple Association launched a complaint with the US International Trade Commission (USITC) regarding the Chinese price strategy. During the course of investigation, the U.S. Apple Association requested that the Department of Agricultural Economics at Washington State University analyze the impact on the total value of juice apples utilized in Washington during the span of the USITC investigation. To determine the magnitude of the effect of the USITC investigation, not only on finished apple juice prices but also on the Washington raw product price, an inverse demand for finished product and an input...

Tipo: Journal Article

Palavras-chave: Agribusiness; International Relations/Trade.

Ano: 2001

URL: http://purl.umn.edu/26519

ASSESSING THE EFFECTIVENESS OF MPP AND TEA ADVERTISING AND PROMOTION EFFORTS IN THE JAPANESE MARKET FOR MEATS

Comeau, Allison; Mittelhammer, Ronald C.; Wahl, Thomas I..

An Inverse Almost Ideal Demand System is utilized to determine the effectiveness of Market Promotion Program (MPP) and Target Export Assistance (TEA) advertising and promotion expenditures in the Japanese market for meat. Using annual data, it is found that beef advertising and promotion has had a positive and significant effect on the demand for beef. There is insufficient evidence to conclude that pork and poultry advertising and promotion increased the demand for either commodity.

Tipo: Journal Article

Palavras-chave: Marketing.

Ano: 1997

URL: http://purl.umn.edu/27844

Minimum Divergence Moment Based Binary Response Models: Estimation and Inference

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...

Risk Aversion, Prudence, and the Three-Moment Decision Model for Hedging

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

Chen, Xiaomei; Wang, H. Holly; Mittelhammer, Ronald C..

The linear two-moment mean-variance (MV) model has been widely used in finance and economic decision analysis as an approximation of Von Neumann-Morgenstern expected utility (EU) model. The introduction of third or higher moments not only can improve the accuracy of the approximation, but is also suitable to represent investors¡¯ skewness preference (prudence) with the latter supported by empirical evidence. The goal of this paper is to develop a general MVS model and compare it and the traditional MV model against the EU model in the setting of an individual producer hedging in the futures market. Results show: 1) the derived linear MVS model maintains the analytical convenience of MV model, 2) it can generate different results as MV, 3) it approximate...

DISTRIBUTION OF HUMAN DEVELOPMENT, CHILD LABOR AND POVERTY IN INDIA

Palavras-chave: Risk and Uncertainty.

Ano: 2006

URL: http://purl.umn.edu/21485

Rahman, Tauhidur; Mittelhammer, Ronald C..

This paper contributes to the growing debate on regional economic inequality and polarization in India. The specific objectives of this paper are to: (1) analyze regional development disparities amongst various states in India to determine if they are on a convergent course; (2) analyze the evolution of regional inequalities amongst states with respect to a number of socioeconomic indicators and factors that have been suggested to affect the incidence of child labor; (3) investigate and test empirically whether polarization is taking place in Indian states; and (4) investigate whether regional indices of human development and child labor incidence follow similar patterns. Using a consistent data series and applying a number of recently developed measures,...

A LATENT VARIABLE MIMIC APPROACH TO INFERRING THE QUALITY OF LIFE

Palavras-chave: Labor and Human Capital.

Ano: 2004

URL: http://purl.umn.edu/20333

Rahman, Tauhidur; Mittelhammer, Ronald C.; Wandschneider, Philip R..

This paper makes three principal contributions. First, we propose a new estimator for the unobservable variable models with endogenous causes. We show that under factor analysis type of assumptions, Robinson and Ferrara (1977)'s procedure is not fully efficient, and a more efficient procedure can be obtained by merging Robinson and Ferrara' procedure with that in Joreskog and Goldberger (1975) procedure. The asymptotic properties of the new estimator are compared with these two estimators and results indicate that, with our mixture approach, significant efficiency gains can be achieved. Second, we model the Quality of life (QOL) as an unobservable or latent link variable between observable causes and observable effects, which mitigates problem of bias,...

FOOD STAMP PARTICIPATION AMONG LOW-INCOME HOUSEHOLDS: THEORETICAL CONSIDERATIONS OF THE IMPACT ON THE DEMAND FOR FOOD

Palavras-chave: Research Methods/ Statistical Methods.

Ano: 2004

URL: http://purl.umn.edu/20351

Mittelhammer, Ronald C.; West, Donald A..

Tipo: Journal Article

Palavras-chave: Food Consumption/Nutrition/Food Safety.

Ano: 1975

URL: http://purl.umn.edu/29655

ACCOUNTING FOR AGGREGATION BIAS IN ALMOST IDEAL DEMAND SYSTEMS

Mittelhammer, Ronald C.; Shi, Hongqi; Wahl, Thomas I..

This study revisits the consistent aggregation (over households) property of almost ideal demand system (AIDS) models and presents a method to explicitly account for expenditure aggregation bias when estimating the aggregate AIDS model with time-series data. Ignoring aggregation bias can lead to biased and inconsistent parameter estimates and can cause aggregate demand functions to be inconsistent with the demand functions at the individual household level. Recognizing the general limited information contained in aggregate time-series data for explicitly modeling aggregation bias, we present a new method of constructing an aggregation bias term that is derived from the proportions of household in different income groups. This information is generally...

Tipo: Journal Article

Palavras-chave: Demand and Price Analysis.

Ano: 1996

URL: http://purl.umn.edu/31032

Estimating the Link Function in Multinomial Response Models under Endogeneity and Quadratic Loss

Judge, George G.; Mittelhammer, Ronald C..

This paper considers estimation and inference for the multinomial response model in the case where endogenous variables are arguments of the unknown link function. Semiparametric estimators are proposed that avoid the parametric assumptions underlying the likelihood approach as well as the loss of precision when using nonparametric estimation. A data based shrinkage estimator that seeks an optimal combination of estimators and results in superior risk performance under quadratic loss is also developed.

INFORMATION THEORETIC ALTERNATIVES TO TRADITIONAL SIMULTANEOUS EQUATIONS ESTIMATORS IN THE PRESENCE OF HETEROSKEDASTICITY

Palavras-chave: Multinomial Process; Endogeneity; Empirical likelihood procedures; Quadratic loss; Semiparametric estimation and inference; Data dependent shrinkage; Asymptotic and finite sample risk; Research Methods/ Statistical Methods; C10; C24.

Ano: 2004

URL: http://purl.umn.edu/25095

Marsh, Thomas L.; Mittelhammer, Ronald C..

Finite sampling properties of information theoretic estimators of the simultaneous equations model, including maximum empirical likelihood, maximum empirical exponential likelihood, and maximum log Euclidean likelihood, are examined in the presence of selected forms of heteroskedasticity. Extensive Monte Carlo experiments are used to compare finite sample performance of Wald, Likelihood ratio, and Lagrangian multiplier tests constructed from information theoretic estimators to those from traditional generalized method of moments.

TRUNCATED REGRESSION IN EMPIRICAL ESTIMATION

Palavras-chave: Research Methods/ Statistical Methods.

Ano: 2002

URL: http://purl.umn.edu/19831

Marsh, Thomas L.; Mittelhammer, Ronald C..

In this paper we illustrate the use of alternative truncated regression estimators for the general linear model. These include variations of maximum likelihood, Bayesian, and maximum entropy estimators in which the error distributions are doubly truncated. To evaluate the performance of the estimators (e.g., efficiency) for a range of sample sizes, Monte Carlo sampling experiments are performed. We then apply each estimator to a factor demand equation for wheat-by-class.

Semiparametric Estimation and Inference in a System of Censored Demand Equations

Palavras-chave: Doubly truncated samples; Bayesian regression; Maximum entropy; Wheat-by-class; Research Methods/ Statistical Methods.

Ano: 2000

URL: http://purl.umn.edu/36391

Fahs, Rafic; Cardell, N. Scott; Mittelhammer, Ronald C..

The purpose of this paper is to utilize the generalized method of moments (GMM) approach for estimating a system of multivariate Tobit equations and propose a practical consistent estimator of model parameters. The GMM approach is based on a common set of general marginal and bivariate moment relations that hold between explanatory variables and model noise.

ASSESSING CONSUMER PREFERENCES FOR ORGANIC, ECO-LABELED, AND REGULAR APPLES

Palavras-chave: Demand and Price Analysis.

Ano: 2001

URL: http://purl.umn.edu/20482

Loureiro, Maria L.; McCluskey, Jill J.; Mittelhammer, Ronald C..

We assess consumer choice of eco-labeled, organic, and regular apples, and identify sociodemographic characteristics affecting the choice among those three alternatives. Eco-labeled apples are less desirable than organic when food safety, the environment, and children's needs are considered. Characteristics that may be expected to positively affect the decision to buy eco-labeled apples relative to regular apples actually have the opposite effect with the inclusion of the organic alternative. When considering all three choices, the eco-labeled product is found to be an intermediate choice among consumers.

Tipo: Journal Article

Palavras-chave: Consumer/Household Economics.

Ano: 2001

URL: http://purl.umn.edu/31039

SEASONAL OLIGOPOLY POWER IN THE D'ANJOU PEAR INDUSTRY

Winfree, Jason A.; McCluskey, Jill J.; Mittelhammer, Ronald C.; Gutman, Paula.

We estimate seasonal oligopoly power at a disaggregated variety level in the D'Anjou pear market. Our data spans 1993 to 2000, during which time imported pears became more prevalent in the U.S. market. The range of monthly industry-conduct-parameter magnitudes is 0.034 to 0.195 and is most pronounced when the fresh D'Anjou pear crop first becomes available in the earliest months of the marketing year. Possible reasons for timing of oligopoly power relate to the growth of imported pears during the latter portion of marketing year. In addition, oligopoly power may diminish during the marketing year as pears in storage decline in quality.

Tipo: Journal Article

Palavras-chave: Crop Production/Industries.

Ano: 2004

URL: http://purl.umn.edu/27238

MARKET SEGMENTATION WITHIN CONTINGENT VALUATION

Grimsrud, Kristine M.; Mittelhammer, Ronald C..

A finite probability mixture model is combined with a contingent valuation model to analyze the existence of differential market segments in a hypothetical market. The approach has at least two principle benefits. First, the model is capable of identifying market segments within the hypothetical market. Second, the model can be used to estimate WTP/WTA within each segment. The model is illustrated using a data set collected on consumer response to genetically modified foods in Norway.

A Semi-Parametric Basis for Combining Estimation Problems Under Quadratic Loss

Palavras-chave: Agribusiness.

Ano: 2003

URL: http://purl.umn.edu/22108

Judge, George G.; Mittelhammer, Ronald C..

When there is uncertainty concerning the appropriate statistical model to use in representing the data sampling process and corresponding estimators, we consider a basis for optimally combining estimation problems. In the context of the multivariate linear statistical model, we consider a semi-parametric Stein-like (SPSL) estimator, ...that shrinks to a random data-dependent vector and, under quadratic loss, has superior performance relative to the conventional least squares estimator. The relationship of the SPSL estimator to the family of Stein estimators is noted and risk dominance extensions between correlated estimators are demonstrated. As an application we consider the problem of a possibly ill-conditioned design matrix and devise...