Improving the efficiency of individualized designs for the mixed logit choice model by including covariates.

Recent research shows that the inclusion of choice related demo- and sociographics in discrete choice models aids in modeling the choice behavior of consumers substantially. However, the increase in efficiency gained by accounting for covariates in the design of a choice experiment has thus far only been demonstrated for the conditional logit model. Previous findings are extended by using covariates in the construction of individualized Bayesian D-efficient designs for the mixed logit choice model. A simulation study illustrates how incorporating covariates affecting choice behavior yields more efficient designs and more accurate estimates and predictions at the individual level. Moreover, it is shown that the possible loss in design efficiency and therefore in estimation and prediction accuracy from including choice unrelated respondent characteristics is negligible.Covariate; Discrete choice experiment; Mixed logit choice model; Individual efficient design; Hierarchical Bayes estimation;

Combining mixed logit models and random effects models to identify the determinants of willingness to pay for rural landscape improvements

This paper reports the findings from a discrete choice experiment study designed to estimate the economic benefits associated with rural landscape improvements in Ireland. Using a mixed logit model, the panel nature of the dataset is exploited to retrieve willingness to pay values for every individual in the sample. This departs from customary approaches in which the willingness to pay estimates are normally expressed as measures of central tendency of an a priori distribution. In a different vein from analysis conducted in previous discrete choice experiment studies, this paper uses random effects models for panel data to identify the determinants of the individual-specific willingness to pay estimates. In comparison with the standard methods used to incorporate individual-specific variables into the analysis of discrete choice experiments, the analytical approach outlined in this paper is shown to add considerably more validity and explanatory power to welfare estimatesAgri-environment, discrete choice experiments, mixed logit, panel data, random effects, willingness to pay, Demand and Price Analysis, Environmental Economics and Policy, C33, C35, Q24, Q51,

Capturing Preferences Under Incomplete Scenarios Using Elicited Choice Probabilities.

Manski (1999) proposed an approach for dealing with a particular form respondent uncertainty in discrete choice settings, particularly relevant in survey based research when the uncertainty stems from the incomplete description of the choice scenarios. Specifically, he suggests eliciting choice probabilities from respondents rather than their single choice of an alternative. A recent paper in IER by Blass et al. (2010) further develops the approach and presents the first empirical application. This paper extends the literature in a number of directions, examining the linkage between elicited choice probabilities and the more common discrete choice elicitation format. We also provide the first convergent validity test of the elicited choice probability format vis-\`a-vis the standard discrete choice format in a split sample experiment. Finally, we discuss the differences between welfare measures that can be derived from elicited choice probabilities versus those that can obtained from discrete choice responses.discrete choice; Elicited Choice Probabilities

Value of time, schedule delay and reliability - estimates based on choice behaviour of Dutch commuters facing congestion

This paper presents the results of a large stated choice experiment among Dutch commuters facing congestion. The experiment consisted of a fractional factorial design with 15 different attributes, three alternatives were car specific and the other was always public transport. Various model specifications have been estimated on the collected choice data allowing us to analyse choice behaviour of road users and determine their values of time, schedule delay (both late and early) and reliability (or uncertainty). In this paper we present the estimates of the best-fitting discrete choice models and interpret the results.

Selecting random parameters in discrete choice experiment for environmental valuation: A simulation experiment

This paper examines the various tests commonly used to select random parameters in choice modelling. The most common procedures for selecting random parameters are: the Lagrange Multiplier test as proposed by McFadden and Train (2000), the t-statistic of the deviation of the random parameter and the log-likelihood ratio test. The identification of random parameters in other words the recognition of preference heterogeneity among population is based on the fact that an individual makes a choice depending on her/his: tastes, perceptions and experiences. A simulation experiment was carried out based on a real choice experiment and the results indicated that the power of these three tests depends importantly on the spread and type of the tested parameter distribution.choice experiment, simulation, preference heterogeneity, random parameter logit, tests for selecting random parameters

Economic Well-Being, Social Mobility, and Preferences for Income Redistribution: Evidence from a Discrete Choice Experiment

In this paper, preferences for income redistribution in Switzerland are elicited through a Discrete Choice Experiment (DCE) performed in 2008. In addition to the amount of redistribution as a share of GDP, attributes also included its uses (working poor, the unemployed, old-age pensioners, families with children, people in ill health) and nationality of beneficiary (Swiss, Western European, others). Willingness to pay for redistribution increases with income and education, contradicting the conventional Meltzer-Richard (1981) model. The Prospect of Upward Mobility hypothesis [Hirschman and Rothschild (1973); Benabou and Ok (2001)] receives partial empirical support.Income redistribution, preferences, willingness to pay, discrete choice experiments, stated choice, economic well-being, social mobility

Would you train me with my mental illness? Evidence from a discrete choice experiment

The low employment among people with disabilities in general, and mental disorders in particular, generates high costs to the society. This raises the need to develop effective vocational rehabilitation methods. Supported Education/Employment is effective in increasing sustainable employment for people with mental disorders. This vocational rehabilitation method places patients directly in realistic work settings instead of training them in a protected work environment. Supported Education and Employment has not yet been widely implemented. Using a discrete choice experiment, we demonstrate that one of the key problems is to find employers willing to provide training. Non-cognitive dysfunctions are the main deterrents.upported Vocational Education & Training; vocational rehabilitation; mental disorders; discrete choice experiment

Willingness to pay for environmental attributes of non-food agricultural products: a real choice experiment

This paper investigates consumers’ willingness to pay (WTP) a price premium for two environmental attributes of a non-food agricultural product. We study individual preferences for roses associated with an eco-label and a carbon footprint using an economic experiment combining discrete choice questions and real economic incentives involving real purchases of roses against cash. The data are analyzed with a mixed logit model and reveal significant premiums for both environmental attributes of the product.WILLINGNESS TO PAY;ENVIRONMENTAL ATTRIBUTES;NON-FOOD PRODUCT;REAL CHOICE EXPERIMENT;MIXED LOGIT

The management of Natura 2000 Network sites: a discrete choice experiment approach

One of the main problems that public institutions face in the management of protected areas, such as the European Natura 2000 network, is how to design and implement sustainable management plans accounting both for the social cost and benefits of conserving these sites. This paper provides with an empirical application of a discrete choice experiment undertaken in a Natura 2000 site in the Basque Country (Spain) aimed at evaluating the social preferences for different land-use options. This information is then used to evaluate the social desirability of some future management plans.environmental valuation, discrete choice experiments, choice modelling, Natura 2000

Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates

In discrete choice experiments respondents are generally assumed to consider all of the attributes across each of the alternatives, and to choose their most preferred. However, results in this paper indicate that many respondents employ simplified lexicographic decision-making rules, whereby they have a ranking of the attributes, but their choice of an alternative is based solely on the level of their most important attribute(s). Not accounting for these simple decision-making heuristics introduces systemic errors and leads to biased point estimates, as they are a violation of the continuity axiom and a departure from the use of compensatory decision-making. In this paper the implications of lexicographic preferences are examined. In particular, using a mixed logit specification this paper investigates the sensitivity of individual-specific willingness to pay (WTP) estimates conditional on whether lexicographic decision-making rules are accounted for in the modelling of discrete choice responses. Empirical results are obtained from a discrete choice experiment that was carried out to address the value of a number of rural landscape attributes in Ireland.Continuity axiom, Discrete Choice Experiments, Lexicographic Preferences, Mixed Logit, Individual-Specific Willingness to Pay