Valuing Animal Welfare with Choice Experiments: An Application to Swedish Pig Production

In this paper, the demand for animal welfare attributes when buying pork fillet is investigated among Swedish respondents. More specifically, the coefficients of an indirect utility function and willingness to pay for animal welfare attributes are estimated. The utility function is estimated using a multinomial logit and a random parameter logit model. A realistic scenario when modeling consumer choices is to allow for heterogeneity in preferences. The random parameter logit model departs from the well known IIA property and allows for a more flexible taste distribution across individuals. The need for assuming randomness of some parameters are evaluated by using a specification testing procedure with artificial variables developed by McFadden and Train (2000). From this study it can be concluded that the preferences for some of the animal welfare attributes are heterogenous across the respondents. There exists both negative and positive wtp for animal welfare attributes. Further, the study reports on the distribution of individual wtp.pig production, consumer valuation, animal welfare, multinomial logit model, random parameter logit model, Livestock Production/Industries,

Using Random Parameters to Account for Heterogeneous Preferences in Contingent Valuation of Public Open Space

To test for preference heterogeneity in dichotomous choice contingent valuation responses, a random parameter logit (RPL) specification is used in this analysis. The RPL model confirms heterogeneity in respondents' preferences for protection of public open space, as reflected in statistically significant standard deviations of the normally distributed random parameters. Results show that while the majority of respondents indicate a positive willingness to pay (WTP), a minority of those surveyed report a negative WTP. Some of this variation in tastes remains even after individual characteristics and attitudinal variables are included in the model.contingent valuation, open space, random parameter logit, willingness to pay, Land Economics/Use,

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

SOME PRELIMINARY EVIDENCE ON SAMPLING OF ALTERNATIVES WITH THE RANDOM PARAMETERS LOGIT

Random utility models rely on the properties of the logistic distribution for ease of estimation, but this distribution implies the independence of irrelevant alternatives (IIA). The random parameters logit model offers a means of avoiding the IIA assumption as well as greater heterogeneity among agents, recreational anglers or beachgoers in the current application. A problem often encountered in the estimation of random utility models with many alternatives is the necessity of sampling alternatives or otherwise reducing the number of choices. Research has shown that in the random utility model, such changes in choice set still lead to consistent parameter estimates. However, with the random parameters logit, there is greater need to sample but no theoretical evidence that sampling is justified. In this paper we show the impact of sampling in a random parameters logit model. We find that sampling does not appear to change the parameter estimates substantially. We investigate two data sets: a study of beach use in the Chesapeake Bay and a study of marine recreational angling behavior for the Northeast of the U.S.Resource /Energy Economics and Policy,

Angler Heterogeneity and the Species-Specific Demand for Marine Recreational Fishing

In this study we assess the viability of single-species recreation demand models given commonly available data sets. Using the 2000 MRFSS southeast intercept data combined with the economic add-on, we determine that the MRFSS data will support only a few species-specific recreation demand models. Considering species of management interest in the southeast, we focus on dolphin, king mackerel, red snapper and red drum. We examine single-species recreational fishing behavior using random utility models of demand. We explore mixed logit (i.e., random parameter) logit and finite mixture (i.e., latent class logit) models for dealing with angler heterogeneity. We compare these to the commonly used conditional and nested logit models in terms of the value of catching (and keeping) one additional fish. Mixed logit models illustrate that the value of catch can be highly heterogeneous and, in some cases, can include both positive and negative values. The finite mixture model generates value estimates that were some times strikingly different than conditional, nested and mixed logit models. Preference heterogeneity is significant within the MRFSS data. We find evidence that single-species models outperform multiple species models and recreational values differ. Key Words: marine recreational fishing, single-species demand, preference heterogeneity models

Can migration decisions be affected by income taxation policies?

In this empirical paper we examine whether or not migration decisions can be affected by individual measures of regional policy. To shed light on the question, we study formation of expected earnings and effect of expected earnings on interregional migration decisions in Finland. We consider how this effect varies among individuals, especially among employees in medical and health care sector and in teaching sector. We generated expected earnings in migration and staying alternatives from an endogenous switching regression. These expected earnings were used as additional explanatory variables in a random parameter logit migration model. In the migration model individual can choose between three alternatives: (s)he can either (i) stay in current region, (ii) migrate to a peripheral region, or (iii) migrate to a growth-centre region. The random parameter logit model allows us to specify the impact of expected earning as a function of occupational dummies and other variables, including a random factor. Our estimation results on a one-percent random sample from the Finnish longitudinal census file indicate that a decision to move is influenced by expected earnings, but the impact is dependent, for example, on occupational and educational group and on region of origin.

MIXED LOGIT ESTIMATION OF RADICAL ISLAMIC TERRORISM IN EUROPE AND NORTH AMERICA: A COMPARATIVE STUDY

This paper estimates what characteristics (e.g. location, number of casualties, and type of attack) are associated with an Islamic terrorist attack. This is established by identifying the significant determinants of the probability that an attack had been carried out by Islamic terrorists. For Europe, the United States, and Canada, the analysis employs ITERATE data from October 1979 to December 2002 to ascertain the significant characteristics of Islamic terrorist attacks. A random- parameter logit model is used to analyze the probability of such attacks, taking into account the heterogeneity of the sample data. This model outperforms the standard logit model. Some policy implications are presented.Islamic radical terrorism, mixed logit model, and public policy

Participation in Higher Education: A Random Parameter Logit Approach with Policy Simulations

In this paper we present a theoretical model of higher education participation. We assume that young people that complete upper secondary education are faced with three choices, go to higher education, not go to higher education or go to higher education and work part time. Utilizing the Living in Ireland survey data 1994-2001 we model this choice in an Irish context by variation in costs (direct and indirect), the estimated lifecycle returns and household credit constraints. Using a random parameters logit choice model we find that simulated lifecycle earnings positively impact the educational/labour choices of young individuals in Ireland. This positive relationship is also found to be true for a choice-specific household income variable constructed in the paper. From the random parameters logit estimations we also find that preferences for choices with higher simulated lifecycle earnings and household income vary across individuals. We conduct policy simulations from our estimations and found that increasing student financial aid levels by 10% combined with a slight widening of the income limits for these aids can lead to significant movement away from the decision to not enter higher education.higher education participation, random parameters logit model, lifecycle simulated earnings, higher education policy

Addiction At the Biennale of Venice

In this paper we analyse the socio-economic characteristics (e.g. age, gender, education, nationality) associated with the probability of subscribing to an art review, among visitors of the Visual Arts Biennale of Venice taking into account the heterogeneity of the data. The analysis uses a data set from a questionnaire given in Venice in 2003 to ascertain the key characteristics of the Biennale visitors, (Bernardi, Pizzi and Vecco, 2004). A Bayesian random parameter logit model is used with Gibbs sampling to verify the hypothesis that subscribing to an art review given that the individual visits the Biennale, defines addiction to visual arts. This model outperforms the standard logit model since it takes into account the unobserved heterogeneity of the sample data. Some policy implications are presented.Culture, Biennale of Venice, Mixed Logit model, and policy implications.

A Comparison Of Choice Experiments And Actual Grocery Store Behavior: An Empirical Application To Seafood Products

In this paper we compare results from an in-store field experiment and a mail survey choice experiment (CE) to investigate CE’s capacity in predicting grocery store market share. For the comparison, we used three seafood products: freshwater prawns, marine shrimp, and lobster. CE estimates were obtained via four econometric models: the conditional logit, the random parameter logit, the heteroskedastic extreme value, and the multinomial probit. We found that the level of control in the grocery store experiment and the choice of econometric model influenced the capacity of CE to predict grocery store market shares.choice experiment, grocery store, hypothetical bias, Food Consumption/Nutrition/Food Safety, Marketing, C35, Q13,