计量经济分析 = Econometric analysis

https://link.springer.com/content/pdf/10.2307%2F3343168.pdf

Development as Freedom

Statistics for Spatial Data.

1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

Econometric foundations

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.

https://www.jstor.org/stable/pdfplus/40987117.pdf

Assessing Consumer Preferences for Organic, Eco-labeled, and Regular Apples

Farmers and other producers are responding to consumer concerns about pesticides by creating new marketing opportunities for products grown with environmentally sound practices. The eco-label analyzed in this study is certified by The Food Alliance (TFA), a non-profit third-party certifying organization based in Portland, Oregon. We assess the mean willingness to pay (WTP) for eco-labeled apples using a double-bounded logit model. We conclude that female respondents with children, and strong environmental and food safety concerns are more likely to pay a premium for eco-labeled apples. However, the estimated premium is small (about 5 cents per pound over an initial price of 99 cents), reflecting the overall difficulty with garnering a premium based on "environmentally sound" practices.

Will Consumers Pay a Premium for Eco-labeled Apples?

Many economists have estimated hedonic price functions for red and white wine. However, estimating a single hedonic price function imposes the assumption that the implicit prices of the attributes are the same for any red or white wine. We argue that even within these two categories, wines are differentiated, and disregarding this heterogeneity causes an aggregation bias in the estimated implicit prices. By estimating hedonic functions specific to price ranges, we show that the wine market is segmented into several product classes or market segments. We find that a model accounting for the existence of wine classes has greater ability to explain the variability in the data and produces more accurate and interpretable results regarding the implicit prices of the attributes.

/pdf/segmenting-the-wine-market-based-on-price-hedonic-regression-1picge46w8.pdf

Segmenting the Wine Market Based on Price: Hedonic Regression when Different Prices mean Different Products

Elements of Probability Theory.- Random Variables, Densities, and Cumulative Distribution Functions.- Mathematical Expectation and Moments.- Parametric Families of Density Functions.- Basic Asymptotics.- Sampling, Sample Moments, Sampling Distributions, and Simulation.- Elements of Point Estimation Theory.- Point Estimation Methods.- Elements of Hypothesis-Testing Theory.- Hypothesis-Testing Methods.- Appendices.- Index.

Ron C. Mittelhammer

Papers

Econometric foundations

Assessing Consumer Preferences for Organic, Eco-labeled, and Regular Apples

Will Consumers Pay a Premium for Eco-labeled Apples?

Segmenting the Wine Market Based on Price: Hedonic Regression when Different Prices mean Different Products

Mathematical Statistics for Economics and Business