Repeated Dichotomous Choice Formats for Elicitation of Willingness to Pay: Simultaneous Estimation and Anchoring Effect

Repeated dichotomous choice contingent valuation data are generated from responses to a succession of binary questions regarding alternative prices for an environmental good. In this paper we propose a simultaneous equation model that allows for endogeneity and error correlation across the responses at each stage of the bidding process. The model allows us to study the evolution of anchoring effects after the second dichotomous choice question. Estimation involves the Bayesian techniques of Gibbs sampling and data augmentation, and the application focuses on the preservation value of a natural area. The results for a data set involving up to four successive dichotomous choice questions show that restricted multiple-bounded models are rejected by the data with the general model. In addition, willingness to pay tends to stabilize after the second stage in the elicitation process for the general unrestricted model. When taking anchoring effects into consideration, it is revealed that individuals’ responses in the latter stages are influenced by the sequence of bid prices offered in earlier questions. Nevertheless, they do not have a significant effect on welfare estimates.      

Are we nice(r) to nice(r) people?—An experimental analysis

We experimentally investigate whether individuals can reliably detect cooperators (the nice(r) people) in an anonymous decision environment involving “connected games.” Participants can condition their choices in an asymmetric prisoners’ dilemma and a trust game on past individual (their partner’s donation share to a self-selected charity) and social (whether their partner belongs to a group with high or low average donations) information. Thus, the two measures of niceness are the individual donation share in the donation task, and the cooperativeness of one’s choice in the two games. We find that high donors achieve a higher-than-average expected payoff by cooperating predominantly with other high donors. Group affiliation proved to be irrelevant. Electronic Supplementary Material Supplementary material is available in the online version of this article at . JEL Classification C91, C72, D3     

The Influence of Socioeconomic Factors on Economic Growth

The main goal of this paper is to analyse the relationship between social capital and economic growth taking into account the role of fiscal policy from theoretical and empirical points of view. To achieve this goal, “Human Capital and Public Capital Effects on Economic Growth” is focused on the effects of two traditional factors: human capital and public capital effects on economic growth. “Social Capital Effects on Economic Growth” considers qualitative variables introducing some socioeconomic effects on economic growth process analysis. In this case, social capital the main variable will be considered. “Empirical Analysis,” an empirical analysis is developed considering the case of European countries prior to the EU enlargement. Finally, in Conclusions,” the main conclusions will be resumed.      

Wealth and sustainable development: the role of David Pearce

Green net national product was thought to be one way of measuring sustainable income. However, David Pearce understood that a better measure of sustainable development was to look at what a generation is leaving in form of capital assets to later generations. In this article, his arguments and insights are highlighted against recent theoretical advances.     

A Global Ex-vessel Fish Price Database: Construction and Applications

Synopsis We describe the first effort at creating a global ex-vessel fish price database, which is required for understanding the economic behavior of participants in the world’s fisheries. We demonstrate potential applications of the database by linking it to a spatially defined catch database, which makes it possible to attach landed values to species in both time and space. This is the first database available publicly where interested members of the public, researchers and managers can easily find and access ex-vessel prices of the world’s major commercial fish species. Preliminary results indicate that the average real price of a number of species have declined between 1950 and 2002. The estimated landed value of fish globally, in year 2000 dollars, was about US$24 billion in 1950. It increased steadily to about US$90 billion in the early 1970s, reached a peak of US$100 billion at the end of the 1980s, and declined to about US$80 billion in 2000. The top 15 fishing countries cumulatively account for 79% of total real landed value, with Japan leading, even though the value of its landings has been declining.      

Do we really care about Biodiversity?

This paper addresses from an economic perspective the issue of global biodiversity conservation. It challenges the perception that the world really cares a great deal about biodiversity and is prepared to pay the full cost of maintaining this stock of natural capital. Despite the existence of a plethora of international agreements there still seems to be a global ‘deficit of care’ surrounding efforts to combat challenges such as those posed by global warming and biodiversity conservation. More light can be thrown on the degree of care by measuring both the actual expenditures and the stated willingness to pay for biodiversity conservation. However, actual expenditures are much lower than willingness to pay estimates recorded in the published literature. Using the criteria that the ‘right’ amount of conservation effort is one where the marginal economic benefits from conservation just equal the marginal costs of conservation, the paper explores the biodiversity conservation conundrum and concluded that, on the available evidence, the world does not care too much about this natural capital stock and bequests to future generations. An erratum to this article can be found at     

Which Elasticity? Estimating the Responsiveness of Taxpayer Reporting Decisions

In this paper we present estimates of the responses of individuals to marginal tax rates in their reporting of income, using data from individual tax returns for the year 1995. One estimation method is ordinary least squares regression. A second method uses quantile regression, which provides evidence on behavioral responses at different points (or quantiles) in the distribution of income and so is relevant to the question of whether the responses of, say, the rich differ from those at other points in the income distribution. Our results clearly indicate that marginal tax rates affect the reporting decisions of individuals. However, there are significant differences in the marginal tax rate reporting responses for the various types of reported income, there are major differences across income classes, and there are notable differences in the estimated responses across estimation methods.