And the winner is... An empirical evaluation of unitary and collective labour supply models

An empirical evaluation is presented of two competing flexible labour supply models. The first is a standard unitary model, while the second is based on the collective approach to household behaviour. The evaluation focuses on the testing of the model’s? theoretical implications and on their ability to identify structural information, like preferences and the intrahousehold allocation process. Models are applied to Dutch microdata from the DNB Household Survey. The unitary model cannot be rejected for male and female singles, while it is rejected for a sample of couples. The alternative collective model cannot be rejected for the same sample, allowing identification of individual preferences and an intrahousehold sharing rule that can be used as a basis for welfare economic policy evaluations.     

Impact of Human Capital Endowments on Inequality of Outcomes in Cameroon

This paper evaluates the impact of human capital endowments on measured inequality in Cameroon. We first estimate determinants of household economic well‐being (HEW) in which human capital endowments are considered as endogenous effort‐related regressors, while controlling for exogenous circumstance‐related variables. Second, we simulate alternative counterfactual distributions of HEW: one in which human capital endowments are equalized; and the other in which variations are entirely attributable to the unobservable terms. Finally we compare inequality in the factual distribution of household well‐being with inequality in each of the simulated distributions. Direct and indirect exogenous opportunity‐inducing circumstances are inequality‐augmenting, whereas human capital endowments are inequality‐reducing in the actual distribution. Education and health interventions will ameliorate well‐being and mitigate inequality. Thus, leveling the playing ground for individuals to have equitable exposure to education, health and labor market participation is required for a low‐income country like Cameroon to enhance equity and sustainable household economic growth.     

ON THE POSSIBILITY OF MEASURING THE DISTRIBUTION OF PERSONAL INCOME

The income distribution statistics which are based on income for a single year show a far larger inequality of income than actually exists. The distribution of annual incomes differs from the distribution of lifetime income partly because of short run fluctuations because of such things as sickness, unemployment, and unusual gains, and partly because different individuals are at different points in their life cycles. The vertical distribution of income can be considered to be the distribution of lifetime income. The horizontal distribution can be considered to be the differences arising in the current period due to short run fluctuations and differences in the age-income cycle of persons. The observed annual income distribution statistics are a mixture of the vertical and horizontal distributions. The estimation of the lifetime income distribution implies discounting, and also raises questions as to the treatment of transfers, subsidies, public investments and taxes. However, statistics based upon a mixture of the horizontal and vertical distributions of income are of no interest.     

A finite mixture analysis of structural breaks in the G-7 gross domestic product series

In this paper we apply a clustering procedure to detect trend changes in macroeconomic data, focusing on the GDP time series for the G-7 countries. A finite mixture of regression models is considered to show different patterns and changes in GDP slopes over time in the long-trend component. Two popular trend-cycle decompositions (i.e., Beveridge and Nelson Decomposition and Hodrick and Prescott filter) are considered in a preliminary step of the analysis to stress the differences between the two methods in terms of the inferred clustering, if any. This approach can be used also to detect structural breaks or change points and it is an alternative to existing approaches in a probabilistic framework. We also discuss international changes in the GDP distribution for the G-7 countries, highlighting similarities, e.g., in break dates, aiming at adding more insights on the economic integration among countries. Our findings suggest that by looking at changes in slope over time a mixture of regression models is able to detect change points, also compared with alternative procedures.     

Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach

A finite mixture approach toconditional logit models is developed in whichlatent classes are used to promoteunderstanding of systematic heterogeneity. The model is applied to wilderness recreationin which a branded choice experiment involvingchoice of one park from a demand system wasadministered to a sample of recreationists. The basis of membership in the classes orsegments in the sample involved attitudinalmeasures of motivations for taking a trip, aswell as their stated preferences overwilderness park attributes. The econometricanalysis suggested that four classes of peopleexist in the sample. Using the model toexamine welfare measures of some hypotheticalpolicy changes identified markedly differentwelfare effects than the standard singlesegment model, and provided insight into thedifferential impact of alternative policies.     

Modeling Disinterest and Dislike: A Bounded Bayesian Mixed Logit Model of the UK Market for GM Food

Mixed logit models represent a powerful discrete choice analytical model but require assumptions about the functional form of the parameter distributions. The use of unbounded distributions, such as the normal distribution, may be regarded as unsuitable where theory indicates that all are negatively affected by increases in an attribute, such as price. Bounded distributions such as the triangular and log-normal are unable to model the case where a section of the population is indifferent towards an attribute, while the remainder are negatively disposed toward it. Train and Sonnier’s bounded mixed logit model accommodates these features and is employed in this paper. A censored normal and Johnson’s S_b distribution are used to model preferences in the UK for food attributes, including price and GM technology. Bi-modal distributions are identified regarding GM food: some are unlikely to ever consume it, some are close to indifference and willing to consume at relatively small discounts while the remainder are fairly unresponsive to further price reductions.     

A normative foundation for equity‐sensitive health evaluation: The role of relative comparisons of health gains

We explore in this paper the relationship between equity‐sensitive population health evaluation measures and normative concerns for relative comparisons of health gains. Such a relationship allows us to characterize focal equity‐sensitive models for the evaluation of population health. Instances are the so‐called multiplicative Quality Adjusted Life Years (QALYs) and multiplicative Healthy Years Equivalents (HYEs), as well as generalizations of the two. Our axiomatic approach assumes social preferences over distributions of individual health states experienced in a given period of time. It conveys informational simplicity, as it does not require information about individual preferences on health.     

A dual theory approach to estimating risk preferences in the parimutuel betting market

This paper introduces an alternative empirical approach to estimating risk preferences in the parimutuel betting market using a dual theory model which is amended to include bettors’ misperceptions of probabilities. We replicate previous empirical results and test our alternative empirical approach using parimutuel horse race betting data. Our results suggest that while bettors are risk-averse, they are also prone to misperceiving probabilities by overweighting low probabilities and underweighting high probabilities. As an application, these results replicate the choice patterns consistent with the Allais paradox.     

Latent preferences and valuation of wetland ecosystem restoration

We employ a latent class choice model to evaluate the effects of alternative ecological characterizations of wetland functions and services on individual preferences, and to determine whether socioeconomic factors and psychometric measures of environmental attitudes can explain differences in individual's preferences and values for wetland restoration. This analysis combines a multiattribute choice model with information on individual's characteristics to evaluate preferences for restoration of the Greater Everglades ecosystem, one of the largest and most comprehensive wetland ecosystem restoration projects. To identify potential endpoints for Everglades restoration, two alternative ecological characterizations of the ecosystem were developed using the familiar distinction between function and structure. Survey data from a representative sample of the general population were used in a split-sample design based on the ecological characterization treatment. Within each subsample, the latent class analysis identified three groups who varied in their preferences for ecosystem restoration and socioeconomic profiles. The ecological characterizations had a significant influence on respondents' preferences and willingness to pay (WTP). The subsample responding to the structural characterization had a significantly larger share of respondents in the group who favored proposed restoration plans than the functional attribute subsample. In both subsamples, the group who favored restoration had a higher WTP for restoration than other groups. The latent class analysis also revealed socioeconomic and attitudinal factors that explain some of the heterogeneity in preferences and WTP within each subsample; this heterogeneity would not be identified with a standard choice model. In the context of Everglades restoration, the results provide a baseline assessment of public support and WTP that suggests an emphasis on structural rather than functional restoration endpoints. The approach described in this article can be used in other policy studies of wetland ecosystems because multiple ecosystem services can be represented within a stated choice survey and differences in preferences and values for these services can be measured.     

PREFERENCES UNDER IGNORANCE

A decision maker (DM) makes choices from different sets of alternatives. The DM is initially ignorant of the payoff associated with each alternative and learns these payoffs only after a large number of choices have been made. We show that, in the presence of an outside option, once payoffs are learned, the optimal choice rule from sets of alternatives can be rationalized by a DM with strict preferences over all alternatives. Under this model, the DM has preferences for preferences while being ignorant of what preferences are “right.”     

Elicitation of Expert Opinion in Benefit Transfer of Environmental Goods

Benefit transfer is a method for estimating the value of environmental goods that involves the use of past information on identical or similar goods. This paper considers the extent to which benefit transfer can be based on prior distributions elicited from expert opinion. We propose two alternative methods to elicit the parameters of a prior distribution from experts on environmental valuation. An experiment is carried out on the value of National Parks in Spain. The results from the elicited distributions are compared with the information provided by onsite samples of visitors. The results indicate that individual experts made different predictions about the potential value of the policy areas that were diverse and unable to accurately predict the value for each policy site. However, the average across the elicited distributions approaches the estimated distribution with empirical data and accurately predicts the relative values for the two policy sites considered.     

The Simple Analytics of Illicit Drug Policy

The impact of alternative drug policy objectives, specifically harm reduction/harm minimisation or prohibition, is unclear. The literature is confusing. This article conceptualises the causal connection between drug consumption and health harm (or reduced health status) then clarifies the implication of ‘drug related harm’. By applying some geometrical tools from economics, the choice of policy objective is analysed. The preferences of policy advocates are then incorporated. Policy advocates are conceived as arguing that decision‐makers and consumers should adopt their preferences between drugs and health harm. With this approach, the difference between alternative drug policies, in particular prohibition and harm minimisation/reduction, is demonstrated.     

A Class of Social Welfare Functions That Depend on Mean Income and Income Polarization

A well‐established strategy for evaluating alternative income distributions is based on the use of an abbreviated social welfare function that depends only on mean income and an inequality index. In keeping with this literature, we study the existence of social welfare functions that can be written as a trade‐off between efficiency and income polarization. This paper proposes a class of social welfare functions consistent with the Esteban and Ray, and Duclos, Esteban and Ray income polarization indices. For this result, we expand the domain for personal preferences to incorporate not only own income but also the well‐being of others. In addition, we link our proposal to the literature on relative satisfaction. The approach is illustrated by an empirical application using the CPS database for the United States in the period 1991–2010.     

Toward an efficiency rationale for the public provision of private goods

Public provision of a private goods is justified on efficiency grounds in a model with no redistributive preferences. A government’s involvement in the provision of a private good generates information about preferences that facilitates more efficient revenue extraction for the provision of public goods. Public provision of the private good improves economic efficiency under a condition that is always fulfilled under independence and satisfied for an open set of joint distributions. The efficiency gains require that consumers cannot arbitrage the publicly provided private good, so our analysis applies to private goods where it is easy to keep track of the ultimate user, such as schooling and health care, but not to easily tradable consumer goods.     

Multidimensional Inequality Across Three Developed Countries

This paper produces comparable estimates of multidimensional inequality for the U.S., Germany, and Australia. Two alternative approaches with differing interpretations are employed. The first method projects all facets of welfare onto a single variable which is then analyzed using standard univariate techniques. The second approach establishes equivalent‐income distributions that would lead to an equalization of welfare, such that the difference between this counterfactual and the true income distribution can be measured. This difference is then interpreted as the degree of income redistribution required to offset welfare inequality. Using data on permanent incomes, health scores, years of education, and leisure times, we observe much higher levels of inequality in the U.S. than in Germany or Australia. Our results are highly statistically significant and hold over a large variety of weighting specifications.     

A finite mixture analysis of beauty-contest data using generalized beta distributions

This paper introduces a mixture model based on the beta distribution, without pre-established means and variances, to analyze a large set of Beauty-Contest data obtained from diverse groups of experiments (Bosch-Domènech et al. 2002). This model gives a better fit of the experimental data, and more precision to the hypothesis that a large proportion of individuals follow a common pattern of reasoning, described as Iterated Best Reply (degenerate), than mixture models based on the normal distribution. The analysis shows that the means of the distributions across the groups of experiments are pretty stable, while the proportions of choices at different levels of reasoning vary across groups.     

A Split-Sample Revealed and Stated Preference Demand Model to Examine Homogenous Subgroup Consumer Behavior Responses to Information and Food Safety Technology Treatments

The combination and joint estimation of revealed and stated preference (RP/SP) data approach to examining consumer preferences to relevant policy-based measures typically fail to account for heterogeneity in the data by considering behavior of the average individual. However, in policy-based analyses, where the research is often driven by understanding how different individuals react to different or similar scenarios, a preferred approach would be to analyze preferences of homogenous population subgroups. We accomplish this by developing a split-sample RP/SP analysis that examines whether homogenous subgroups of the population, based on individual health and behavioral characteristics, respond differently to health-risk information and new food safety technology. The ongoing efforts by the US Food and Drug Administration (FDA) to reduce illness and death associated with consuming raw Gulf of Mexico oysters provide an ideal platform for the analysis as the health risks only relate to a very specific consumer subgroup. Results from split-sample demand models indicate that educational information treatments cause vulnerable at-risk consumers to reduce their oyster demand, implying that a more structured approach to disseminating the brochures to the at-risk population could have the desired result of reducing annual illness levels. Also, findings across all subgroups provide strong empirical evidence that the new FDA policy requiring processing technology to be used in oyster production will have a detrimental effect on the oyster industry.     

Advertising media strategies in the film industry

The primary aim of this article is to estimate the multiple determinants of film advertising expenditures in four important media, namely television, press, outdoor and radio, in the UK. First, television advertising, the leading film advertising medium, is examined as part of a system of equations, capturing the interdependences between advertising, the number of screens on which films are initially shown and box office revenues. Then a reduced form model is put forward to reveal the determinants of film advertising in the four media. While major distribution companies have different preferences for the use of the alternative advertising media, results highlight the importance of quality signals, such as critical reviews, in determining advertising expenditures in the film industry. Moreover, advertising expenditures can themselves be considered to offer potential cinema goers signals of film quality.     

Firm size distribution under horizontal and vertical innovation

This paper studies the firm size distribution arising from an endogenous growth model of quality ladders with expanding variety. The probability distribution function of a given cohort is a Poisson distribution that converges asymptotically to a normal of log size. However, due to firm entry propelled by horizontal R&D, the total distribution—i.e., when the entire population of firms is considered—is a mixture of overlapping Poisson distributions which is systematically right skewed and exhibits a fatter upper tail than the normal distribution of log size. Our theoretical results qualitatively match the empirical evidence found both for the cohort and the total distribution, and which has been presented as a challenge for theory to explain. Moreover, by obtaining a total distribution with a gradually increasing average over a long time span, the model is able to address complementary empirical evidence that points to a total distribution subtly evolving over time.     

Invariance of conditional maximum utility

The consumer benefit in a discrete choice model is often measured by maximum utility. We characterize the conditional (on the chosen alternative) and the unconditional distribution of maximum utility. We show that among a wide class of distributions (independent with convex supports) of error terms, the Type I extreme-value distribution is the unique distribution which ensures that all the conditional distributions of maximum utility coincide. Moreover, we show that for i.i.d. (with convex support) error terms, the invariance of conditional expected maximum utility characterizes the multinomial logit model.