Análisis econométrico de la heterogeneidad de las preferencias de los individuos: Aplicación a la valoración económica de la conservación del paisaje agrícola de montaña

The need to account for respondents’ preference heterogeneity in stated choice models has motivated researchers to apply random parameter logit and latent class models. In this paper we compare these three alternative ways of incorporating preference heterogeneity in stated choice models and evaluate how the choice of model affects welfare estimates in a given empirical application. Finally, we discuss what criteria to follow to decide which approach is most appropriate.

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Attribute Non-Attendance and Consumer Preferences for Online Food Products in Germany

German Journal of Agricultural Economics ◽

10.30430/69.2020.1.31-48 ◽

2020 ◽

Vol 69 (1) ◽

pp. 31-48

Author(s):

P. Christoph Richartz ◽

Lukas Kornher ◽

Awudu Abdulai

Keyword(s):

Latent Class ◽

Consumer Preferences ◽

Mixed Logit ◽

Meat Products ◽

Food Product ◽

Latent Class Models ◽

Preference Heterogeneity ◽

Significant Heterogeneity ◽

Processing Strategies ◽

Class Models

In this article, we apply a choice experiment meth-od to examine consumers’ preferences for online food product attributes, using survey data for German consumers for meat products. We use both mixed logit and latent class models to analyze preference heterogeneity and sources of heterogeneity, as well as endogenous attribute attendance models to account for consumers’ attribute processing strategies. The empirical results reveal significant heterogeneity in preferences for online meat attributes among consumers. We also find that consumers’ willingness to pay estimates are highly influenced by their attribute processing strategies.

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Smallholder preferences and willingness-to-pay measures for microcredit

China Agricultural Economic Review ◽

10.1108/caer-02-2017-0022 ◽

2018 ◽

Vol 10 (3) ◽

pp. 462-481 ◽

Cited By ~ 3

Author(s):

Zhao Ding ◽

Awudu Abdulai

Keyword(s):

Willingness To Pay ◽

Interest Rates ◽

Latent Class ◽

Smallholder Farmers ◽

Mixed Logit ◽

Latent Class Models ◽

Preference Heterogeneity ◽

Content Type ◽

Lower Interest Rate ◽

Class Models

Purpose The purpose of this paper is to examine smallholders’ preferences and willingness to pay for microcredit products with varying attribute combinations, in order to contribute to the debate on the optimal design of rural microcredit. Design/methodology/approach Data used in this study are based on a discrete choice experiment from 552 randomly selected respondents. Mixed logit and latent class models are estimated to examine the choice probability and sources of preference heterogeneity. Endogenous attribute attendance models are applied to account for attribute non-attendance (ANA) phenomenon, focusing on separate non-attendance probability as well as joint non-attendance probability. Findings The results demonstrate that preference heterogeneity and ANA exist in the smallholder farmers’ microcredit choices. Averagely, smallholder farmers prefer longer credit period, smaller credit size, lower transaction costs and lower interest rate. Guarantor collateral method and installment repayment positively affect their preferences as well. Moreover, respondents are found to be willing to pay more for the attributes they consider important. The microcredit providers are able to attract new customers under the current interest rates, if the combination of attributes is appropriately adjusted. Originality/value This study contributes to the debate by assessing the preference trade-off of different microcredit attributes more comprehensively than in previous analyses, by taking preference heterogeneity and ANA into account.

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Patient Preferences Concerning Alternative Treatments for Neuroendocrine Tumors: Results of the “PIANO-Study”

International Journal of Technology Assessment in Health Care ◽

10.1017/s0266462319000217 ◽

2019 ◽

Vol 35 (03) ◽

pp. 243-251

Author(s):

Axel C. Mühlbacher ◽

Christin Juhnke

Keyword(s):

Overall Survival ◽

Neuroendocrine Tumors ◽

Patient Preferences ◽

Latent Class ◽

Malignant Tumors ◽

Random Parameter ◽

Latent Class Models ◽

Response To Treatment ◽

Therapeutic Decisions ◽

Random Parameter Logit

AbstractObjectivesNeuroendocrine tumors (NETs) are rare, slow-growing malignant tumors. So far, there are no data on patient preferences regarding its therapy. This empirical study aimed to elicit patient preferences in the drug treatment of NET.MethodsBased on qualitative patient interviews and an analytic hierarchy process, six patient-relevant attributes were analyzed and weighted using a discrete-choice experiment. Patients were recruited with the help of a NET support group. An experimental 3*3 + 6*3 –MNL design was created using NGene. The design consisted of eighty-four choices, divided into seven blocks. Participants were randomly assigned to these blocks. The analysis included random parameter logit and latent class models.ResultsA total of 275 participants (51.6 percent female; mean age, 58.4 years) were included. The preference analysis within the random parameter logit model, taking into account the 95 percent confidence interval, showed predominance for the attribute “overall survival.” The attributes “response to treatment” and “stabilization of tumor growth” followed. The side effects “nausea/vomiting” and “diarrhea” were considered of relatively equal importance. Latent class analysis of possible subgroup differences revealed three preference patterns.ConclusionsPreferences can influence therapeutic decisions. Preference analyses indicated that “overall survival” had the strongest influence, with participants clearly weighing outcome attributes higher than side effect attributes. In conclusion, mono-criterial decisions would not fully reflect patient perspectives.

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Some New Methods for an Old Problem: Modeling Preference Changes and Competitive Market Structures in Pretest Market Data

Journal of Marketing Research ◽

10.1177/002224379703400111 ◽

1997 ◽

Vol 34 (1) ◽

pp. 130-142 ◽

Cited By ~ 6

Author(s):

Ulf Böckenholt ◽

William R. Dillon

Keyword(s):

Latent Class ◽

New Product ◽

Latent Class Models ◽

Preference Heterogeneity ◽

Time Varying ◽

Modeling Framework ◽

Market Structures ◽

Before And After ◽

Class Models ◽

Choice Probabilities

Despite the enormous amounts of resources devoted to concept and product testing and the continued use of pretest market (PTM) modeling procedures, estimates of new product failures are still alarmingly high. The primary objectives of PTM modeling are to forecast the market share/sales volume of a new product and to determine the sources of new product share at the aggregate market level. The authors describe a new approach that is designed to provide a parsimonious description of competitive changes before and after a new product is introduced by identifying latent segments (i.e., groups of consumers) that vary in size and composition with respect to the relative preferences for a set of brands before and after a new product is introduced. Each latent segment represents a particular preference state characterized by a set of segment-level choice probabilities. The modeling framework is based on a class of dynamic latent class models that explicitly recognize two major types of preference heterogeneity: (1) heterogeneity caused by before-after changes in latent preferences for the brands (i.e., time-varying relative choice probabilities) and/or (2) heterogeneity caused by consumers changing their latent preference segment in response to a new product (i.e., time varying latent segment probabilities). As is demonstrated in the empirical application, the dynamic latent class models provide a comprehensive framework for understanding how a new product changes the competitive landscape.

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Willingness-to-Pay and Preference Heterogeneity for Service Attributes of Solid Waste Management: An Experience in Kolkata, India

Global NEST Journal ◽

10.30955/gnj.001459 ◽

2014 ◽

Vol 17 (1) ◽

pp. 82-92

Keyword(s):

Waste Management ◽

Willingness To Pay ◽

Solid Waste ◽

Solid Waste Management ◽

Random Parameter ◽

Preference Heterogeneity ◽

Triangular Distribution ◽

Stated Choice ◽

Socioeconomic Characteristics ◽

Random Parameter Logit

<div> <p>The effects of various socioeconomic characteristics on Willingness-to-Pay (WTP) values for service attributes of Solid Waste Management (SWM) were evaluated in this study. The Stated Choice (SC) data collected from respondents in the Kolkata Municipal Corporation (KMC) area, India were analyzed using Random Parameter Logit (RPL) models. Education and household income were found to have statistically significant decomposition effects on mean estimates of several SWM attributes. High income and/or high education were well-correlated to higher WTP values for most of the service attributes. The results show that due consideration to socioeconomic characteristics is necessary while formulating measures for improvement of SWM service in an urban area. This work also demonstrates potential application of RPL models for investigating the effect of socioeconomic characteristics on WTP values, and successful application of constrained triangular distribution in RPL models.</p> </div> <p> </p>

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SELECTION OF BREEDING STOCK BY U.S. MEAT GOAT PRODUCERS

Journal of Agricultural and Applied Economics ◽

10.1017/aae.2017.6 ◽

2017 ◽

Vol 49 (3) ◽

pp. 416-437 ◽

Cited By ~ 1

Author(s):

NARAYAN NYAUPANE ◽

JEFFREY GILLESPIE ◽

KENNETH MCMILLIN ◽

ROBERT HARRISON ◽

ISAAC SITIENEI

Keyword(s):

Latent Class ◽

Mixed Logit ◽

Nationwide Survey ◽

Latent Class Models ◽

Discrete Choice Experiments ◽

Preference Heterogeneity ◽

Breeding Stock ◽

Meat Goat ◽

Class Models ◽

Selection Of

AbstractUsing nationwide survey data, we investigate U.S. meat goat producer preferences and willingness to pay for meat goat breeding stock attributes. Discrete choice experiments were employed, and mixed logit and latent class models were used for analysis. Results showed that producers preferred animals that were highly masculine/feminine, had good structure and soundness, and were of the Boer breed, whereas they preferred fewer animals that were older, of Kiko and Spanish breeds, and priced higher. Significant preference heterogeneity was found among the respondents. Larger-scale producers had greater preference for high masculinity/femininity, good structure and soundness, and Boer bucks.

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