Conventional hedonic techniques for estimating the value of local amenities rely on the assumption that households move freely among locations. We show that when moving is costly, the variation in housing prices and wages across locations may no longer reflect the value of differences in local amenities. We develop an alternative discrete-choice approach that models the household location decision directly, and we apply it to the case of air quality in U.S. metro areas in 1990 and 2000. Because air pollution is likely to be correlated with unobservable local characteristics such as economic activity, we instrument for air quality using the contribution of distant sources to local pollution-excluding emissions from local sources, which are most likely to be correlated with local conditions. Our model yields an estimated elasticity of willingness to pay with respect to air quality of 0.34 to 0.42. These estimates imply that the median household would pay $149 to $185 (in constant 1982-1984 dollars) for a one-unit reduction in average ambient concentrations of particulate matter. These estimates are three times greater than the marginal willingness to pay estimated by a conventional hedonic model using the same data. Our results are robust to a range of covariates, instrumenting strategies, and functional form assumptions. The findings also confirm the importance of instrumenting for local air pollution.

The grassroots movement that placed environmental justice issues on the national stage around 1980 was soon followed up by research documenting the correlation between pollution and race and poverty. This work has established inequitable exposure to nuisances as a stylized fact of social science. In this paper, we review the environmental justice literature, especially where it intersects with work by economists. First we consider the literature documenting evidence of disproportionate exposure. We particularly consider the implications of modeling choices about spatial relationships between polluters and residents, and about conditioning variables. Next, we evaluate the theory and evidence for four possible mechanisms that may lie behind the patterns seen: disproportionate siting on the firm side, “coming to the nuisance” on the household side, market-like coordination of the two, and discriminatory politics and/or enforcement. We argue that further research is needed to understand how much weight to give each mechanism. Finally, we discuss some policy options.

Technological improvements in the extraction of oil and natural gas from unconventional sources have transformed communities and landscapes and brought debate and controversy in the policy arena. Shale gas plays underlying the populated northeastern United States were thought to be uneconomical less than ten years ago, but now contribute a major share of US gas supply.

With the growing recognition of the role played by geography in all sorts of economic problems, there is strong interest in measuring the size and scope of local spillovers (i.e., simple anonymous agglomeration or congestion effects, or more complicated interactions between individuals or firms of specific types). It is well-understood, however, that such spillovers cannot be distinguished from unobservable local attributes using just the observed location decisions of individuals or firms. We propose an empirical strategy for recovering estimates of spillovers in the presence of unobserved local attributes for a broadly applicable class of equilibrium sorting models. This approach relies on an instrumental variables strategy derived from the internal logic of the sorting model itself.We show practically how the strategy is implemented, provide intuition for our instrumental variables, and discuss the role of effective choice-set variation in identifying the model, and carry-out a series of Monte Carlo experiments to demonstrate the instruments' performance in small samples.JEL Codes: H7, R0, R2, R3

Does environmental regulation impair international competitiveness of pollutionintensive industries to the extent that they relocate to countries with less stringent regulation, turning those countries into"pollution havens"? We test this hypothesis using panel data on outward foreign direct investment (FDI) flows of various industries in the German manufacturing sector and account for several econometric issues that have been ignored in previous studies. Most importantly, we demonstrate that externalities associated with FDI agglomeration can bias estimates away from finding a pollution haven effect if omitted from the analysis. We include the stock of inward FDI as a proxy for agglomeration and employ a GMM estimator to control for endogenous, time-varying determinants of FDI flows. Furthermore, we propose a difference estimator based on the least polluting industry to break the possible correlation between environmental regulatory stringency and unobservable attributes of FDI recipients in the cross-section. When accounting for these issues we find robust evidence of a pollution haven effect for the chemical industry. (2003) is an exhaustive source of information on the subject of international environmental agreements. 2Electronic copy available at: http://ssrn.com/abstract=1138337 work that documents the importance of agglomeration effects for industrial location choice, the environmental economics literature has, by and large, ignored the implications of this finding for the study of pollution havens.We use longitudinal data on outward FDI flows of German manufacturing industries in 163 destination countries to test the pollution haven hypothesis conditional on industrial agglomeration -proxied by cumulative FDI -in the destination country. To this end, we develop a two-step estimator that explicitly accounts for the endogeneity of cumulative FDI and other country characteristics. Our method controls for unobserved heterogeneity at the country level and flexibly accommodates dynamic specifications of investment demand.Furthermore, our use of a survey measure of the stringency of environmental regulation is novel to the literature, as most existing research relies on measures of pollution abatement cost that may be endogenous to plant location decisions. We find that ignoring agglomeration externalities masks the pollution haven effect in the chemical industry.The paper is structured as follows. The next section reviews the literature on FDI and environmental regulation. Section 3 describes the econometric framework, and section 4 summarizes our data, along with explaining why Germany is a relevant country for such an analysis. In section 5 we report and discuss our results. Section 6 concludes.

Households "sort" across neighborhoods according to their wealth and their preferences for public goods, social characteristics, and commuting opportunities. The aggregation of these individual choices in markets and in other institutions influences the supply of amenities and local public goods. Pollution, congestion, and the quality of public education are examples. Over the past decade, advances in economic models of this sorting process have led to a new framework that promises to alter the ways we conceptualize the policy evaluation process in the future. These "equilibrium sorting" models use the properties of market equilibria, together with information on household behavior, to infer structural parameters that characterize preference heterogeneity. The results can be used to develop theoretically consistent predictions for the welfare implications of future policy changes. Analysis is not confined to marginal effects or a partial equilibrium setting. Nor is it limited to prices and quantities. Sorting models can integrate descriptions of how non-market goods are generated, estimate how they affect decision making and, in turn, predict how they will be affected by future policies targeting prices or quantities. Conversely, sorting models can predict how equilibrium prices and quantities will be affected by policies that target product quality, information, or amenities generated by the sorting process. These capabilities are just beginning to be understood and used in applied research. This survey article aims to synthesize the state of knowledge on equilibrium sorting, the new possibilities for policy analysis, and the conceptual and empirical challenges that define the frontiers of the literature.

Travel cost models are regularly used to determine the value of recreational sites or particular site characteristics, yet congestion, a key site attribute, is often excluded from such analyses. One reason for this omission is that congestion is determined in equilibrium by the process of individuals sorting across sites and thus presents significant endogeneity problems. This paper illustrates this source of endogeneity, describes how previous research has dealt with it using stated preference techniques, and describes an instrumental variables approach to address it in a revealed preference context. We demonstrate that failing to address the endogeneity of congestion leads one to dramatically understate its costs. We apply our technique to the valuation of a large recreational fishing site in Wisconsin (Lake Winnebago) which, if eliminated, would induce significant re-sorting of anglers amongst remaining sites. Ignoring congestion leads to an understatement of the lake's value by more than 50%. r

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