Maria A. Cunha-e-Sá

Combining Averting Behavior and Contingent Valuation Data: An Application to Drinking Water Treatment

This paper is an empirical application that combines averting behavior with contingent valuation data. Consistency tests are performed incorporating alternative heteroscedastic structures in the bivariate probit models by taking advantage of the different information content that characterizes each data source. We look at three covariates not yet examined in the literature when combining stated and revealed preferred data to explain the variance in the models: income, the bid in the contingent valuation questionnaire, and the distance between the bid and the averting expenditures with drinking water. The models estimated include between and within data sources heteroscedasticity. The results obtained allow the combination of the two data sources under a common preference structure.

Protesting or Justifying? A Latent Class Model for Contingent Valuation with Attitudinal Data

This article develops a latent class model for estimating willingness-to-pay for public goods using simultaneously contingent valuation (CV) and attitudinal data capturing protest attitudes related to the lack of trust in public institutions providing those goods. A measure of the social cost associated with protest responses and the consequent loss in potential contributions for providing the public good is proposed. The presence of potential justification biases is further considered, that is, the possibility that for psychological reasons the response to the CV question affects the answers to the attitudinal questions. The results from our empirical application suggest that psychological factors should not be ignored in CV estimation for policy purposes, allowing for a correct identification of protest responses.

Managing the Northern Atlantic Bluefin Tuna Fisheries: The Stability of the UN Fish Stock Agreement Solution

The stability of an agreement solution for the management of the Northern Atlantic bluefin tuna is examined. The results show that the agreement studied is preferred over both the open-access and the feedback Nash solution, but may be unstable. In the case of the feedback Nash, the instability can be eliminated if there are side payments.

Identifying non-consistent choice behavior in recreation demand models

In a RPL model, rather than imposing consistency with consumer theory by constraining the distribution of the price coefficient to have negative support, a more general procedure is developed. Non-consistent choice behavior is identified in a recreation demand model for game reserves in South Africa.

Consistency in Mixed Demand Systems: Contingent Valuation and Travel Cost Data

In contrast to previous literature, we propose a consistency test that does not impose any particular common functional form for the preference structure underlying the travel cost (TC) and contingent valuation (CV) models. We derive testable consistency conditions between TC and CV data in the context of mixed demand systems when valuing changes in environmental quality. These conditions are a subset of the rationality conditions. The proposed consistency tests are implemented combining TC and CV data. The empirical results show that it is possible to combine stated TC and CV, but not revealed TC and CV data.

Endogenous Future Preferences and Conservation

A dynamic optimization model is developed in whichuncertainty about future preferences is endogenous,namely depending on the state of the environment atthe time the change in preferences occurs.Endogeneizing preferences not only provides economicintuition to previous results but also implies thatoptimal policies are less conservative.

Testing for rationality: the case of discrete choice data

Abstract When working with micro data on consumer demand, there are many different situations where decisions involve only discrete choices. In this context, conditions under which an underlying rational preference structure exists are derived. Moreover, by introducing flexibility into the model, it is possible to identify nonrational behavior in the sample.

On nature’s shoulders: Riding the big waves in Nazaré

The use of counterfactual methods in the evaluation of policy interventions has been accepted today as the best approach in the estimation of a program’s performance. However, the simplest evaluations are often quite demanding in terms of the resources and the time needed to be implemented. In this article, we study the economic impact of a tourism media campaign launched in Nazaré, an old fishing community on the west coast of Portugal, to make big waves visible to the world. The campaign provided the required “informational media infrastructure” that created the public awareness necessary to boost tourism in the region. To measure the economic impact of that campaign on the local economy, we show how a counterfactual analysis can be implemented using regional statistical data on domestic and international tourist arrivals. We show how the method can be adapted to account for the presence of potential spillover effects that may have occurred, as neighboring municipalities could also have been affected by the intervention. We further compare the estimated impact on revenues with the costs incurred by the local municipality in the marketing campaign. Based on our empirical findings, we discuss policy implications to the municipalities in the region.

The Effects of Development Constraints on Forest Management at the Urban-Forest Interface

This article develops a model of a forest owner operating in a small, open‐city environment where the rent for developed land is increasing concave in nearby preserved open space and is rising over time, reflecting an upward trend in households’ income. Within this framework we examine how changes in nearby preserved open space and alternative development constraints affect an individual private landowners decisions regarding both regeneration harvests and conversion dates. We also examine how such policies affect development density once conversion from forestry to residential use occurs. We show that when residential rents change over time, the nature of the timber problem at the urban‐forest interface changes because it forces us to allow for the possibility of changes in land use from timber to residential use. As a result, the traditional Faustmann setup is not suitable to study forest management decisions at this interface. We also find that in the presence of rising income, increases in permanently preserved open space hasten regeneration and conversion cuts of a neighboring parcel currently under forest use and leads to lower density development once conversion takes place compared to the case where income is constant. We also find that both a binding development moratorium and a binding minimum‐lot‐size policy can postpone regeneration and conversion cut dates and thus help to protect open space, even if only temporarily. However, the policies do not have the same effects on development density of converted forestland. While the former leads to high‐density development, the latter encourages low‐density development.

Accounting for Response Biases in Latent-Class Models for Choices and Attitudes

We propose a latent-class model (LCM) to analyze contingent-valuation surveys incorporating attitudinal questions capturing protest reasons to identify classes of respondents with similar preferences and attitudes. In contrast to a standard LCM, our model ensures that classes are not contaminated by different types of response biases. Using data regarding the preservation of a world-heritage recreation site, low- and high-protester classes are identified. The difference in estimated willingness to pay (WTP) in these classes is €26, reflecting protest issues. If response biases were ignored, different classes would be identified and the corresponding difference in WTPs would be inflated by 130%. (JEL C35, Q51)