LANGUAGE-RELATED DIFFERENCES IN ENVIRONMENTAL BENEFITS ESTIMATION: EVIDENCE FROM A MAIL SURVEY

In contingent valuation studies, failing to accommodate populations with limited language skills might yield biased estimates. In the United States, there are many residents primarily fluent in Spanish. This study uses conditional logit models applied to data from a bilingual (English and Spanish) conjoint choice mail survey to evaluate the effects of language proficiency on estimates of the economic benefits of contaminated site cleanup. Results indicate that language does have significant effects on welfare estimates. The results suggest that mail surveys addressing environmental issues that may affect a linguistically diverse population should be designed at the outset with multiple languages in mind. ( JEL Q51, J19)     

The Ricardian equivalence hypothesis: evidence from Bangladesh

In this paper, a probabilistic discrete choice approach is used to examine the influence of economic and non-economic factors on the choice of medical specialty by new physicians. A two level nested logit model is estimated that relaxes the independence from irrelevant alternatives assumption, and allows for a potentially more realistic pattern of substitution across specialty choices. The results from this specification are compared to those obtained from joint and conditional logit models. The findings, which are relatively robust across models, indicate that economic incentives play an important role in the specialty choice process, in particular, expected hours worked and medical school indebtedness. Physician tastes for specialties also appear to have an important influence.     

Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment

Different approaches to modelling the distribution of WTP are compared using stated preference data on Tanzanian Clinical Officers’ job choices and mixed logit models. The standard approach of specifying the distributions of the coefficients and deriving WTP as the ratio of two coefficients (estimation in preference space) is compared to specifying the distributions for WTP directly at the estimation stage (estimation in WTP space). The models in preference space fit the data better than the corresponding models in WTP space although the difference between the best fitting models in the two estimation regimes is minimal. Moreover, the willingness to pay estimates derived from the preference space models turn out to be very high for many of the job attributes. The results suggest that sensitivity testing using a variety of model specifications, including estimation in WTP space, is recommended when using mixed logit models to estimate willingness to pay distributions.     

Estimating the private benefits of vaccination against cholera in Beira, Mozambique: A travel cost approach

This paper reports the results of the first study that estimates households' private demand for cholera vaccines using the travel cost method. We take advantage of an unusual natural experiment. In January 2004, more than 41,000 residents from various locations in Beira, Mozambique received two doses of oral cholera vaccine free of charge during the first vaccination trial to test its effectiveness in an endemic cholera zone of Africa. About 30,000 people participated from outside the target zone, resulting in long queues and an average waiting time of about 85 min per dose.We estimated travel cost models of the revealed demand for cholera vaccines among households informed of the trial using information collected in in-person interviews conducted during the summer of 2005. To explore households' participation in the trial, we used standard and zero-inflated household count models for all household members and dichotomous choice models for the head of the household. Our analysis shows that the quantity of vaccines obtained by households and the likelihood of participation decreased as travel cost—in time and transport expenses—rose. Our best estimates of per capita willingness to pay for the two required doses of cholera vaccine are about 0.85 USD. These estimates are sensitive to the assumed value of time spent acquiring vaccines.     

Measuring dispositions for lexicographic preferences of environmental goods: integrating economics,psychology and ethics

This paper combines the psychometric methods of paired comparisons (PC) and environmental disposition measurement to assist in identifying lexicographic behavior in choice experiments. Our methodology obtains complete preference profiles of all elements in the choice set and measures of attitudinal dispositions, including an environmental ethics (EE) disposition, for all respondents. The methodology is applied across two treatments that differ only on the range of the dollar magnitudes—Treatment A ranges from $10 to $700 (USD) and Treatment B ranges from $10 to $9000 (USD). Dispositions of pastoralism (PA), antiquarianism and environmental ethicism tend to correlate positively with increasing preferences for environmental goods, while the disposition of environmental adaptation (EA) negatively correlates with preferences for environmental goods. The marginal effects of environmental dispositions are largest for respondents who do not value environmental goods highly (low valuers) and those who potentially value the goods lexicographically. The results demonstrate that information regarding our sample's attitudinal dispositions toward the environment may enable the differentiation of high valuers from lexicographic valuers of environmental goods.     

Modelling preference heterogeneity for theatre tickets: a discrete choice modelling approach on Royal Danish Theatre booking data

This article analyses the behavioural choice for theatre tickets using a rich data set for 2010–2013 from the sale system of the Royal Danish National Theatre. A consumer who decides to attend a theatre production faces multiple sources of price variation that involves a choice by the consumer among different ticket alternatives. Three modelling approaches are proposed in order to model ticket purchases: conditional logit with socio-demographic characteristics, nested logit and latent class. These models allow us explicitly to take into account consumers’ preference heterogeneity with respect to the attributes associated with each ticket alternative (quality of the seat and day of the performance). In addition, the willingness to pay of choice attributes is estimated. Final results suggest that customers’ characteristics in terms of age and frequency of theatre attendance characterize different patterns of behaviour in the choice of theatre ticket.     

How the iPhone Widens the U.S. Trade Deficit with China: The Case of the iPhone X

Through an examination of the case of the iPhone X, this paper demonstrates that Chinese companies involved in the production of the iPhone X have moved up along the global value chain. According to the bill of materials, those companies contributed 25.4% of the value added of the iPhone X. About 45% of the value added of the iPhone X originated in Japan, South Korea, and other economies. The iPhone trade remains a significant element of the statistical distortion of the China–US bilateral trade imbalance. In terms of gross value, the import of one iPhone X results in a USD332.75 trade deficit for the US; measured in terms of the value added, however the deficit is a mere USD104. The depreciation of the Chinese yuan (CNY) has very limited power to counterbalance the tariffs imposed by the Trump administration because the foreign value added embedded in Chinese exports is 33.9% on average. Simulation results show that to counterbalance a 25% tariff, the CNY would have to depreciate by 43.3% against the US dollar on average, and to fully compensate for a 25% tariff burden on the iPhone X, a 400% depreciation of the CNY would be necessary. Hedging the risk of the punitive U.S. tariffs by depreciating the CNY is impossible.     

The Effects of Changing Cost Vectors on Choices and Scale Heterogeneity

Choice Experiments (CE) are widely used to estimate the values of changes in non-market goods and services. A cost attribute is typically included in a CE questionnaire to enable the estimation of monetary values for changes in the non-market attributes presented. Notwithstanding the central importance of the cost attribute, relatively little research has been undertaken on the impacts of varying cost attribute levels on value estimates, or on individual heterogeneity. In this paper, I present results from mixed logit and generalised mixed logit models that account for unobserved idiosyncratic preference and scale heterogeneity. Respondents are found to anchor their choices on the relative cost levels presented in the survey with results suggesting that people are more sensitive to relative rather than absolute cost vectors. However, the higher cost levels do not lead to significantly higher value estimates, partly because of observed preference heterogeneity towards the environmental attributes. An important observation is that scale heterogeneity is important: accounting for scale— as well as preference—heterogeneity in the generalised mixed logit model leads to significantly improved model fit. The results indicate significant unobserved error variance across respondents, unrelated to whether a high or low cost vector is used.     

Recreation demand estimation and valuation in spatially connected systems

Recreation demand models frequently are used to explain outdoor recreation behavior and to estimate willingness to pay for changes in environmental quality at recreation sites. Among the most commonly used recreation demand models are site choice models based on the multinomial logit framework, which account for the spatial relationships between each recreator's home and multiple alternative destinations thereby capturing the substitution possibilities among recreation sites. However, standard applications of this framework typically do not account for the possibility of spatial connections among the sites via movements of the target species, such as fish in connected water bodies in recreational angling applications or terrestrial species in hunting or wildlife viewing applications. In this paper we examine aspects of environmental valuation and natural resource dynamics that generally are addressed separately. Specifically, we show that in such spatially connected systems, a “reduced form” application of the standard site choice modeling approach, using proxy measures of environmental quality rather than direct measures of species abundances, can produce biased estimates of willingness to pay for environmental improvements. Furthermore, we show that under some conditions poorly targeted environmental improvements in spatially connected systems can lead to welfare decreases. In such systems a structural model of recreator site choices and species sorting behavior and population dynamics may be required to fully account for the spatial linkages among sites and the feedback effects between recreators and the target species.     

A Contingent Valuation Estimate of the Benefits of Wolves in Minnesota

In this paper we estimate the willingness topay for a wolf management plan and a wolfdamage plan in Minnesota using the contingentvaluation method. The theoretical definition ofwillingness to pay for wolf protection iscomposed of use and non-use values. Weincorporate a don't know response option in thedichotomous choice valuation questions. A largenumber of respondents answered don't know. Themultinomial logit model is used todifferentiate between don't know and noresponses. Non-use motives are importantfactors that explain willingness to pay. We usethese benefit estimates in combination with twoalternative cost estimates to consider theefficiency of the wolf management and damageplans. Both plans have estimated benefitsgreater than costs.     

Consumer valuation of energy-saving features of residential air conditioners with hedonic and choice models

The promotion of energy-efficient appliances is necessary to reduce the energetic and environmental burden of the household sector. However, many studies have reported that a typical consumer underestimates the benefits of energy-saving investment on the purchase of household electric appliances. To analyze this energy-efficiency-gap problem, many scholars have estimated implicit discount rates that consumers use for energy-consuming durables. Although both hedonic and choice models have been used in previous studies, a comparison between the two models has not yet been made. This study uses point-of-sale data about Japanese residential air conditioners and estimates implicit discount rates with both hedonic and choice models. Both models demonstrate that a typical consumer underinvests in energy efficiency. Although choice models generally estimate a lower implicit discount rate than hedonic models, the latter models estimate the values of other product characteristics more consistently than choice models.     

Do environmental benefits matter? Evidence from a choice experiment among house owners in Germany

Residential buildings strongly contribute to global CO₂ emissions due to the high energy demand for electricity and heating, particularly in industrialised countries. Within the EU, decentralised heat generation is of particular relevance for future climate policy, as its emissions are not covered by the EU ETS. We conducted a choice experiment concerning energy retrofits for existing houses in Germany. In the experiment, the approximately 400 sampled house owners could either choose a modern heating system or an improved thermal insulation for their home. We used standard and mixed logit specifications to analyse the choice data. We found environmental benefits to have a significant impact on choices of heating systems. However, they played no role in terms of insulation choices. Based on the estimated mixed logit model, we further obtained willingness-to-pay (WTP) measures for CO₂ savings.     

Valuing Local Environmental Amenity with Discrete Choice Experiments: Spatial Scope Sensitivity and Heterogeneous Marginal Utility of Income

Using discrete choice experiments we examine preferences for the spatial provision of local environmental improvements in the context of regeneration policies. Amenities we consider are: improvements to areas of open space, recreation facilities and other public spaces; street cleanliness; restoration of derelict properties; and the provision of paths dedicated to cycling and walking. We include the spatial scope of the policy as an attribute, making the trade-off between environmental amenity and its spatial provision explicit. We employ a novel estimator for average willingness to pay (WTP) for mixed logit models with a random cost coefficient, which is robust to the presence of price insensitive respondents and performs well relative to mixed logit estimation in WTP space. We find that the spatial scope of the policy affects both the intensity and heterogeneity of preferences, and that these effects are of statistical and economic significance.     

Taste Variation in Discrete Choice Models

This paper develops an extension of the classical multinomial logit model which approximates a class of models obtained when there is uncontrolled taste variation across agents and choices in addition to the stochastic noise inherent in the logit model. Unlike semiparametric and parametric alternatives, the extended logit model is easy to estimate even when there are many potential choices. Unlike parametric alternatives, it does not require the specification of a distribution of varying tastes. The extended logit model can give a quick indication of the impact of taste variation on estimates and it generates estimates of the covariances of the taste shifters. It can be used as an exploratory device en route to the construction of a model incorporating a particular form of random taste variation and it can be used to determine whether such effort is required at all. When the amount of taste variation is not excessive the approximate model can be adequate itself. The model nests the conventional logit model which leads to a misspecification diagnostic. A method for estimating the model using conventional logit model software is proposed, asymptotic properties of estimators are derived and an application is presented.     

A Random Parameter Model with Onsite Sampling for Recreation Site Choice: An Application to Southern California Shoreline Sportfishing

Estimation of consistent parameter estimates for recreational demand models faces challenges arising from the choice-based nature of the data collected primarily for resource management purposes. As an alternative to randomized respondent-based sampling, choice-based onsite sampling can provide information on actual choices made by a subset of the population where participation has a low incidence. While the literature has shown that under specific restrictions the estimation of choice models from onsite sampling data yields unbiased fixed parameter estimates for the conditional logit model, this result does not carry over to estimation of the random parameter logit model. We propose an estimator for the unbiased estimation of the random parameter model using choice-based data; our estimator uses weights based on information about the level of sampling effort. An empirical application of the standard and weighted discrete choice RUM models to onsite sample data on recreational fishing illustrates the advantages of the proposed estimator. The estimation results indicate the compensating variation associated with an decrease, or increase, of 50 % in expected catch rates for a recreational shoreline sportfishing trip to a man-made structure in southern California is $$-{\$}2.80$$ or $${\$}3.54$$ per trip, respectively.     

Using Choice Experiments to Value the Environment

This paper we outline the “choice experiment” approach to environmental valuation. This approach has its roots in Lancaster's characteristics theory of value, in random utility theory and in experimental design. We show how marginal values for the attributes of environmental assets, such as forests and rivers, can be estimated from pair-wise choices, as well as the value of the environmental asset as a whole. These choice pairs are designed so as to allow efficient statistical estimation of the underlying utility function, and to minimise required sample size. Choice experiments have important advantages over other environmental valuation methods, such as contingent valuation and travel cost-type models, although many design issues remain unresolved. Applications to environmental issues have so far been relatively limited. We illustrate the use of choice experiments with reference to a recent UK study on public preferences for alternative forest landscapes. This study allows us to perform a convergent validity test on the choice experiment estimates of willingness to pay.     

A comparison of regret-based and utility-based discrete choice modelling – an empirical illustration with hospital bed choice

There is some concern that the unobserved preference heterogeneity in random utility maximization theory-based discrete choice experiment modelling is an important source of error variability. The randomness in utility is often interpreted as interpersonal preference heterogeneity but it can also be intrapersonal random variation in preferences. We compare utility maximization and regret minimization-based choice models’ sensitivity to individual heterogeneity, examine differences between two consecrated models and validate with empirical illustrations. We use frequency of category (public, semi-private, and private) of bed chosen from Swiss cross-sectional datasets (2007–2012) to compare two approaches – utility maximization and regret minimization by applying multinomial logit (MNL) models in regard to the variances in utility (regret) function, goodness-of-fit and predicted marginal effects (pseudo-elasticity) of additional payment. We find parameters with the same sign and estimates with almost same order of magnitude in both the approaches. The statistical significance of attribute effects is consistent in all variants of utility -based MNL models while effects of different attributes are significant only in heteroskedastic extreme value (HEV) variant of regret-based MNL models. This empirical illustration suggests that HEV variant of regret-based models perform better in capturing attribute effects in choice behaviour.     

Married womens' tastes and the decision to participate in the labour market: results from a fixed effects model

In the paper, we report estimates from two logit models of Women's labour force participation. A model with out fixed effects, estimated from cross-sectional data-indicates a significant postive relation between work experience and particiption. We ask whether the relation is due to a causal influence extered by the former variable on the latter or to a common underlying variable: taste for market attachement. To answer this question. we present results from a fixed effects model estimated from panel data. In this model, the estimated coefficients of experience are insignificant, suggestion that a taste for market attachement underlies both experience and participation is the presence of preschool children.