Protesting and Justifying: A Latent Class Model for Contingent Valuation with Attitudinal Data

This article develops a latent class model for estimating willingness-to-pay (WTP) for public goods using simultaneously contingent valuation (CV) and attitudinal data to identify individuals with similar characteristics, such as WTP and protest attitudes. We find evidence that the answer to the CV question influences the responses to the attitudinal questions. In our case, this influence reflects rational behavior (budget constraint issues) and justification biases related to protest reasons, such as lack of trust in institutions or fairness issues with respect to the distribution of the burden of preservation. The results from our empirical application confirm the importance of accounting for those biases.     

Relating environmental attitudes and contingent values: how robust are methods for identifying preference heterogeneity?

We assess the importance and robustness of cluster analysis and latent class analysis as methods to account for unobserved heterogeneity. We provide a critique and comparison of both methods in the context of measuring environmental attitudes and a contingent valuation study involving endangered species. We find strong evidence of robustness for these methods: group characterization and assignment of individuals to groups are similar between methods, and willingness-to-pay estimates are consistent. In addition, there are significant differences in willingness-to-pay across environmental attitudinal groups, and we find that accounting for unobservable heterogeneity provides a significantly better fitting model.     

Using structural restrictions to achieve theoretical consistency in benefit transfers

Analysts often extrapolate estimates of the value of environmental improvements reported in prior studies to evaluate new policy proposals, a practice sometimes referred to as “benefit transfer.” Benefit transfer functions are frequently specified based on statistical considerations alone. However, such a purely statistical approach can lead to willingness-to-pay functions that fail to satisfy some aspects of theoretical consistency that may be especially important for policy evaluations. In this paper, we examine several previous meta-analyses of nonmarket valuation studies in light of the adding-up condition, which is one important aspect of theoretical validity. We then use meta-regression to estimate a new willingness-to-pay function for surface water quality improvements intended to be used for benefit transfers. We estimate the meta-regression model using summary results from 51 previously published stated preference studies. An important feature of our approach is that we develop the meta-regression estimating equation to ensure that the resulting benefit transfer function will necessarily comply with the adding-up condition. This is achieved by first specifying a marginal willingness-to-pay function and then deriving an expression for total willingness-to-pay. This leads to a non-linear estimating equation, so we estimate the parameters of the model using non-linear least squares. We discuss the advantages and disadvantages of our approach relative to other structural approaches, and we compare our empirical results to a more traditional nonstructural meta-regression model. Finally, we examine the quantitative importance of imposing the adding-up condition in our case study by performing some illustrative calculations of willingness-to-pay for hypothetical water quality improvements using both structural and non-structural models.     

Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model

A latent-class model of environmental preference groups is developed and estimated with only the answers to a set of attitudinal questions. Economists do not typically use this type of data in estimation. Group membership is latent/unobserved. The intent is to identify and characterize heterogeneity in the preferences for environmental amenities in terms of a small number of preference groups. The application is to preferences over the fishing characteristics of Green Bay. Anglers answered a number of attitudinal questions, including the importance of boat fees, species catch rates, and fish consumption advisories on site choice. The results suggest that Green Bay anglers separate into a small number of distinct classes with varying preferences and willingness to pay for a PCB-free Green Bay. The probability that an angler belongs to each class is estimated as function of observable characteristics of the individual. Estimation is with the expectation–maximization (E–M) algorithm, a technique new to environmental economics that can be used to do maximum-likelihood estimation with incomplete information. As explained, a latent-class model estimated with attitudinal data can be melded with a latent-class choice model. Edward Morey and Jennifer Thacher are equal authors and rotate authorship across articles.     

Housing deprivation and health status: evidence from Spain

Living in inadequate housing conditions not only supposes a failure of a basic functioning. It also has effects on other essential aspects of well-being such as health. This study questions to what extent living in poor housing conditions can determine individuals’ health status once the possible influence of other factors is controlled for. By estimating a logistic model with individual effects and a housing deprivation index based on a latent variable model, we reach a number of relevant conclusions concerning the relationship between these two different dimensions of multidimensional well-being. We find a negative effect of housing deprivation on the individuals’ health, both when housing conditions are introduced in a disaggregated manner in the model and when they are combined in a latent variable.     

Measuring heterogeneity,survey engagement and response quality in preferences for organic products in Nigeria

The identification of the market potentials of organic products is important in the drive towards a sustainable agricultural development in sub-Saharan Africa (SSA). However, available evidence shows that valuing attributes of credence goods (such as organic products) while using stated preference methods faces additional obstacles compared to other normal goods. In this study, we examine consumers’ preferences and willingness-to-pay (WTP) for health and environmental attributes of organic products in Nigeria. We employ an approach that allows us to adequately capture the value of organic products by linking part of the heterogeneity across respondents to differences in scale, while making use of indicators of survey engagement, without risks of endogeneity bias and measurement error that arise from the deterministic methods. The empirical results show that market for organic products exists in Nigeria, with reduction in pesticide residues attribute attracting the highest value, followed by the certification programme. Furthermore, we observe that increases in the latent engagement variable lead to a greater probability of agreement with statements relating to survey understanding and realism, and hence more substantive output.     

An econometric analysis of willingness-to-pay for sustainable development: A case study of the Vol?ji Potok landscape area

When the market for a certain good is competitive enough, economic activities can be studied by the market pricing mechanism. Because this is usually not feasible in case of environmental goods with embodied natural and cultural heritage, particular methods for economic valuation of such goods have to be applied. The present article represents the economic valuation of the Landscape Development and Protection Area of Vol?ji Potok, which is an important Slovenian cultural landscape area with internationally recognized qualities. For this purpose we combined classical contingent valuation with a closed-version of discrete choice method, where the protest responses have been removed. By using econometric analysis we obtained the value of willingness-to-pay and established its determinants. We also made an attempt to control for different biases that arise in such analyses. At last, we used the adjusted average individual value of willingness-to-pay to calculate the aggregate willingness-to-pay. The present analysis represents one of the very few applications of the method to Central and Eastern European countries.     

Test–Retest Reliability of Choice Experiments in Environmental Valuation

The paper presents the results of the first test–retest study on choice experiments in environmental valuation. In a survey concerning landscape externalities of onshore wind power in central Germany, respondents answered the same five choice sets at two different points in time. Each choice set comprised three alternatives described by five attributes, and the time interval between the test and the retest was eleven months. The analysis takes place at three different levels, investigating choice consistency at the choice task level and repeatability of the latent construct utility at the level of parametric models as well as at the level of willingness-to-pay estimates. At the choice task level we observed 59?% identical choices. The parametric analysis shows that the test and retest estimates are not equal, even when we control for scale, that is, differences in the error variance. However, comparing the marginal willingness-to-pay estimates among test and retest reveals only a statistically significant difference for one of the attributes. Overall, this indicates a moderate test–retest reliability taking into account that consistency at the choice task level overlooks the stochastic nature of the process underlying discrete choice experiments.     

The total economic value of threatened, endangered and rare species: An updated meta-analysis

This paper updates a 1996 meta-analysis of studies using the Contingent Valuation Method (CVM) to value threatened, endangered and rare species published in this journal by Loomis and White. A variable for studies conducted in or after 1995 was added to the model to test if new studies are systematically different from old studies and identify which explanatory variables influencing willingness-to-pay (WTP) for these species have changed over time. Generally newer studies yielded higher WTP. Variables such as the change in the size of the species population, payment frequency, survey mode, response rate, type of respondent, type of species, and a new variable for whether a species is a ‘charismatic megafauna’ or not, whether the species has use and nonuse value versus nonuse value only and year of the study, were found to significantly influence WTP. This model is used in a benefit transfer example and a comparison of original study estimates and model estimates is made to compare its accuracy. The average within sample benefit transfer error was 34-45%.     

Does greater central bank independence really lead to lower inflation? Evidence from panel data

It has long been held that central bank independence (CBI) from political control is a necessary requirement to curb inflation. In recent times, however, this long held belief has been challenged. Using a recently compiled panel data set on central bank independence measures, the proposition that greater CBI leads to lower inflation is tested, using latent variable analysis. The use of this alternative econometric technique, along with two additional indicators that capture more appropriately the degree of de facto independence, leads to empirical results that are highly supportive of the negative relationship between CBI and inflation, thereby restoring faith in the conventionally held wisdom, that greater CBI is needed to lower inflation.     

Link between innovation and productivity in Canadian manufacturing industries

Empirical studies commonly use research and development (R&D) to measure innovation and often find, especially in Canada, no strong link between productivity and innovation. In this article, we model innovation as an unobservable latent variable that underlies four indicators: R&D, patents, technology adoption, and skills. We find that these indicators are reasonably good measures of innovation for aggregate manufacturing. However, except for skills, the reliability of the indicators for innovation differs among individual industries. Our innovation indexes, based on the latent variable model, show that most manufacturing industries became more innovative over the 1980–1997 period. The pace of innovation in the electrical and electronic products industry accelerated during the 1990s. In addition, we show that the new measure of innovation has a positive and statistically significant impact on productivity. It takes from 1 to 3 years, depending on the industry, for innovation to generate an impact on productivity.     

Tax evasion in transition: Outcome of an institutional clash? Testing Feige's conjecture in Albania

A field survey of households was conducted in Tirana, Albania in 2000. A response rate of 89.3% yielded 1.340 valid questionnaires, allowing me to test Feige's (In: Nelson, J.M., Tilley, C., Walker, L. (Eds.), Transforming Post-communist Political Economics. National Academy Press, Washington, DC, p. 21) conjecture that more tax evasion will be observed, when formal and informal institutions clash. Respondents’ attitudes towards formal and informal institutions were obtained by applying factor analysis to their responses to a series of attitudinal questions. The theoretical importance of the interaction between formal and informal institutions in determining tax evasion finds empirical support in the data.     

Identifying inconsistent responses in dichotomous choice contingent valuation with follow-up questions

We develop a new but simple non-parametric method to diagnose inconsistency in double-bounded contingent valuation questions in the presence of both perfect and imperfect correlation between initial and follow-up response distributions. The proposed method can identify inconsistency in iterative responses at each bid interval. We apply this method to data from five well-known double-bounded contingent valuation surveys. The predictions of our model match closely with parametric outcomes. Further, we find that the inconsistency patterns generally vary for different data sets and different bid intervals within data sets. Therefore no single behavioral model can explain all latent inconsistency patterns either within or across data sets. In addition, we examine the impact of inconsistency in responses on bias and efficiency of the double-bounded format in the absence of correction for inconsistency. We conclude that the commonly cited benefits of the double-bounded format hold only in the special case of nearly perfect consistency between initial and follow-up response distributions. Our method provides a simple tool researchers can use to determine the similarity in response distributions between the initial and follow-up responses and whether incorporating collected follow-up responses are likely to actually increase efficiency without introducing bias.     

Suit the action to the word,the word to the action: Eliciting motives for trust and reciprocity by attitudinal and behavioural measures

Two important primitives of social capital are the disposition to trust and to reciprocate manifested in social life. In this paper, attitudinal and behavioural evidence is used to investigate the nature of the motivations underlying behaviour in Trust and Dictator games. In doing so, we have three aims. First, to find out whether, and to what extent, answers to a questionnaire about attitudes towards trust and civicness predict subjects’ behaviour. Second, to disentangle strategic from other-regarding motivations by comparing behaviour in Trust and Dictator Games. Third, to investigate to what extent a correspondence could be found between subjects’ attitudinal ‘type’ and their behaviour in the two interactive experimental settings. The paper builds on previous work in the area and in particular finds that using surveys to distinguish between the behavioural responses of different attitudinal types–“Trusting” or “Prudent” on the one hand and “Trustworthy” or “Untrustworthy” on the other, allows us to dig deeper into the underlying motivations of the experimental subjects. The self-declared trusting tend to manifest trust by investing more in the risky interaction than the prudent, and the self-declared trustworthy are inclined to return more than the untrustworthy. Moreover, the self-reported trustworthy and untrustworthy tend to manifest positive or negative reciprocity, respectively. The evidence suggests that the former are moved by the intention to reward and the latter by the desire to punish a stingy Sender by returning an even smaller amount than received. This seems to confirm the “multiple self” view (Elster, 1986), whereby in the personality of each individual many components–possibly distant in terms of the motivating sentiments–are gathered together.     

A Discussion of “Using Angler Characteristics and Attitudinal Data to Identify Environmental Preference Classes: A Latent-Class Model”

In the current issue of Environmental and Resource Economics, Morey et al. (2006) discuss a new approach to using attitudinal data in latent class modeling. We compare this approach with the one taken in Boxall and Adamowicz (2002), in the context of a discrete choice, random utility framework with heterogeneous preferences. We derive the respective likelihood functions of the two approaches to show that they are structurally similar, and discuss their implications for the use of attitudinal data. We conclude with a discussion comparing the relative merits of latent class and random parameters (mixed logit) modeling, offering the view that as a practical matter, choosing between them depends on the analyst’s judgment about the correlation of preference parameters.     

Multivariate Mixed Models for Open-Ended Contingent Valuation Data: Willingness To Pay For Conservation of Monk Seals

Although dichotomous choice (DC) contingent valuation (CV) has been recommended by the US NOAA 'blue-ribbon' panel for large-scale contingent valuation studies, useful information can still be obtained from smaller, open-ended (OE) studies, often undertaken as a precursor to a DC survey. The CV study considered here was carried out in Greece and looked at willingness-to-pay (WTP) for protecting the Mediterranean monk seal (Monachus-monachus) in the Aegean area. This is the most endangered seal in the world, and the application of the CV methodology was the first such application in Greece. The OE data consist of two responses: first, a binary response detailing whether or not respondents were in principle prepared to pay for the protection of this seal; secondly, those respondents who answered 'yes' to the first question were then asked to state their maximum WTP for such protection. A multivariate binomial – log-normal mixture model is used to develop a bid function including explanatory variables such as income, sex, age and education. Such a modelling approach provides an alternative to more commonplace tobit estimation. However, the model is extended to include further information which was collected on:(a) an increased WTP amount given in response to information that the initial WTP amount may not be enough to prevent the extinction of the seal;(b) respondents were asked to divide their final WTP amount between use, option and existence values, the latter requiring a multivariate model with four binary and four continuous responses per individual in the same model.The discussion focuses on the methodological issues raised with some comment on the substantive interpretation of results.     

DOES RELIGIOSITY AFFECT SUPPORT FOR POLITICAL COMPROMISE?

Does religiosity affect adherents' attitude toward political compromise? To address this question and overcome the potential simultaneity of religious activity and political attitudes, we exploit exogenous variation in the start date of the Selichot (“Forgiveness”), a period in which many Jews, including nonadherents, take part in an intense prayer schedule. Using a two‐wave survey, we find that an increase in the salience of religiosity leads to the adoption of more hard‐line positions against a land‐for‐peace compromise. Examining several potential mechanisms for this attitudinal shift, our evidence points to the impact of the intensified prayer period on adherents' tolerance for risk.     

Anchors,endorsements, and preferences: A field experiment

This study investigates how access to political endorsements affects stated preferences for an environmental public good in Switzerland. We developed a contingent valuation survey questionnaire with two valuation questions, the first formulated as a (hypothetical) policy referendum, the second an open-ended WTP question. For the referendum question we solicited endorsements from a range of political parties and relevant interest groups. We then conducted a split-sample mail-survey experiment in which a table listing the endorsements was included with a subsample of the questionnaires. Access to the policy endorsements significantly affected the responses to the open-ended willingness-to-pay question.