Author
Andrew A. Goett
Bio: Andrew A. Goett is an academic researcher. The author has contributed to research in topics: Service (business) & Air conditioning. The author has an hindex of 4, co-authored 4 publications receiving 520 citations.
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TL;DR: In this paper, the authors examined small/medium commercial and industrial customers' choices among energy suppliers in conjoint-type experiments and estimated the distribution of customers' willingness to pay for more than 40 attributes of suppliers, including sign-up bonuses, amount and type of renewables, billing options, bundling with other services, reductions in voltage fluctuations, and charitable contributions.
Abstract: We examine small/medium commercial and industrial customers' choices among energy suppliers in conjoint-type experiments The distribution of customers' willingness to pay is estimated for more than 40 attributes of suppliers, including sign-up bonuses, amount and type of renewables, billing options, bundling with other services, reductions in voltage fluctuations, and charitable contributions These estimates provide guidance for suppliers in designing service options and to economists in anticipating the services that will be offered in competitive retail energy markets
369 citations
TL;DR: In this paper, attitudes are used as latent explanatory variables in a model of consumers' choice among optional rate schedules offered by a public utility and a consistent estimator is described that utilizes the distribution of the latent attitude variables conditional on manifest indicator variables.
Abstract: Attitudes enter as latent explanatory variables in a model of consumers' choice among optional rate schedules offered by a public utility. A consistent estimator of the choice model is described that utilizes the distribution of the latent attitude variables conditional on manifest indicator variables. The model is applied to households' choice between time-of-use and non-time-differentiated rates for electricity to determine the impact of attitudes about energy conservation. Copyright 1987 by MIT Press.
123 citations
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TL;DR: In this article, it is shown that every mutual-max or mutual-min Nash equilibrium is a fairness equilibrium, and that if payoffs are small, fairness equilibria are roughly the set of mutualmax and mutualmin outcomes; if payoff are large, fairness equilibrium are roughly a set of Nash equilibra.
Abstract: People like to help those who are helping them and to hurt those who are hurting them. Outcomes rejecting such motivations are called fairness equilibria. Outcomes are mutual-max when each person maximizes the other's material payoffs, and mutual-min when each person minimizes the other's payoffs. It is shown that every mutual-max or mutual-min Nash equilibrium is a fairness equilibrium. If payoffs are small, fairness equilibria are roughly the set of mutual-max and mutual-min outcomes; if payoffs are large, fairness equilibria are roughly the set of Nash equilibria. Several economic examples are considered and possible welfare implications of fairness are explored. Copyright 1993 by American Economic Association.
4,981 citations
TL;DR: In this article, the adequacy of a mixing specification can be tested simply as an omitted variable test with appropriately definedartificial variables, and a practicalestimation of aarametricmixingfamily can be run by MaximumSimulated Likelihood EstimationorMethod ofSimulatedMoments, andeasilycomputedinstruments are provided that make the latter procedure fairly eAcient.
Abstract: SUMMARY Thispaperconsidersmixed,orrandomcoeAcients,multinomiallogit (MMNL)modelsfordiscreteresponse, andestablishesthefollowingresults.Undermildregularityconditions,anydiscretechoicemodelderivedfrom random utility maximization has choice probabilities that can be approximated as closely as one pleases by a MMNLmodel.PracticalestimationofaparametricmixingfamilycanbecarriedoutbyMaximumSimulated LikelihoodEstimationorMethodofSimulatedMoments,andeasilycomputedinstrumentsareprovidedthat make the latter procedure fairly eAcient. The adequacy of a mixing specification can be tested simply as an omittedvariabletestwithappropriatelydefinedartificialvariables.Anapplicationtoaproblemofdemandfor alternativevehiclesshowsthatMMNL provides aflexible and computationally practical approach todiscrete response analysis. Copyright # 2000 John Wiley & Sons, Ltd.
3,967 citations
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TL;DR: In this paper, the authors present a longer version of an essay under preparation for possible publication in the Journal of Economic Literature, which they refer to as their work on reference-dependent utility.
Abstract: UNTVERSITY OF CALIFORNIA AT BERKELEY Department of Economics Berkeley, CaHfornia 94720-3880 Working Paper No. 97-251 Psychology and Economics Matthew Rabin Department of Economics University of California, Berkeley January 1997 Key words: bounded rationality, decision making, fairness, framing effects, heuristics and biases, preferences, psychology, reciprocity, reference-dependent utility JEL Classification: A12, B49, D i l , D60, D81, D83, D91 This is a longer version of an essay under preparation for possible publication in the Journal of Economic Literature. I thank John Pencavel and anonymous referees for earlier comments on its structure and content. For comments on this draft, I thank Steven Blatt, Colin Camerer, Peter Diamond, Erik Eyster, Ernst Fehr, Danny Kahneman, George Loewenstein, Ted O'Donoghue, and John Pencavel. For helpful conversations over the past several years on topics covered in this essay, I thank George Akerlof, Gary Chamess, Eddie Dekel, Peter Diamond, David Laibson, David I. Levine, George Loewenstein, Rob MacCoun, James Montgomery, Vai-Lam Mui, Drazen Prelec, and especially Colin Camerer, Danny Kahneman, and Richard Thaler. Co-authors on research related to the topics of this essay include David Bowman, Deborah Minehart, Ted O'Donoghue, and Joel Schrag. Helpful research assistance was provided by Gadi Barlevy, Nikki Blasberg, Gail Brennan, Paul Ellickson, April Franco, Marcus Heng, Bruce Hsu, Jin Woo Jung, and especially Steven Blatt, Jimmy Chan, Erik Eyster, and Clara Wang. I am extremely grateful for financial support from the Russell Sage and Alfred P. Sloan Foundations.
2,426 citations
TL;DR: Mixed logit as mentioned in this paper is a generalization of standard logit that does not exhibit the restrictive independence from irrelevant alternatives property and explicitly accounts for correlations in unobserved utility over repeated choices by each customer.
Abstract: Mixed logit models, also called random-parameters or error-components logit, are a generalization of standard logit that do not exhibit the restrictive “independence from irrelevant alternatives” property and explicitly account for correlations in unobserved utility over repeated choices by each customer. Mixed logits are estimated for households' choices of appliances under utility-sponsored programs that offer rebates or loans on high-efficiency appliances.
2,192 citations
TL;DR: In this paper, the authors proposed a simple modification of a conventional method of moments estimator for a discrete response model, replacing response probabilities that require numerical integration with estimators obtained by Monte Carlo simulation.
Abstract: This paper proposes a simple modification of a conventional method of moments estimator for a discrete response model, replacing response probabilities that require numerical integration with estimators obtained by Monte Carlo simulation. This method of simulated moments (MSM) does not require precise estimates of these probabilities for consistency and asymptotic normality, relying instead on the law of large numbers operating across observations to control simulation error, and hence can use simulations of practical size. The method is useful for models such as high-dimensional multinomial probit (MNP), where computation has restricted applications.
1,621 citations