Papers - Daniel L Millimet

Per Fredriksson , John A List, Warren McHone , Daniel L Millimet

Cited by*: 59 Downloads*: 20

This study examines the effects of air quality regulation on economic activity. Anecdotal evidence and some recent empirical studies suggest that an inverse relationship exists between the stringency of environmental regulations and new plant formations. Using a unique county-level data set for New York State from 1980 to 1990, we revisit this conjecture using a seminonparametric method based on propensity score matching. Our empirical estimates suggest that pollution-intensive plants are responding to environmental regulations; more importantly, we find that traditional parametric methods used in previous studies may dramatically understate the impact of more stringent regulations.

Per Fredriksson , John A List, Daniel L Millimet

Cited by*: 33 Downloads*: 18

Previous studies have proposed that equilibrium capital flows are affected by environmental regulations-the commonly coined 'pollution haven' hypothesis. We revisit this issue by treating environmental policies as endogenous and allowing governmental corruption to influence foreign direct investment patterns. Via these two simple extensions, we are able to provide a much richer model of international capital flows. The theoretical model presumes that the effect of corruption on FDI operates via two channels: corruption affects capital flows through its impact on environmental policy stringency and due to greater theft of public funds earmarked for public spending. We empirically examine the implications of the model using US state-level panel data from four industrial sectors over the period 1977-1987. Empirical results suggest environmental policy and corruption both play a significant role in determining the spatial allocation of inbound US FDI. In addition, the estimated effect of environmental policy is found to depend critically on exogeneity assumptions.

Per Fredriksson , John A List, Daniel L Millimet

Cited by*: 33 Downloads*: 9

Previous studies have proposed that equilibrium capital flows are affected by environmental regulations-the commonly coined 'pollution haven' hypothesis. We revisit this issue by treating environmental policies as endogenous and allowing governmental corruption to influence foreign direct investment patterns. Via these two simple extensions, we are able to provide a much richer model of international capital flows. The theoretical model presumes that the effect of corruption on FDI operates via two channels: corruption affects capital flows through its impact on environmental policy stringency and due to greater theft of public funds earmarked for public spending. We empirically examine the implications of the model using US state-level panel data from four industrial sectors over the period 1977-1987. Empirical results suggest environmental policy and corruption both play a significant role in determining the spatial allocation of inbound US FDI. In addition, the estimated effect of environmental policy is found to depend critically on exogeneity assumptions.

John A List, Daniel L Millimet, Thanasis Stengos

Cited by*: 32 Downloads*: 1

We explore the importance of modeling strategies when estimating the emissions-income relationship. Using U.S. state-level panel data on nitrogen oxide and sulfur dioxide emissions, we estimate several environmental Kuznets curves using the standard parametric framework as well as a more flexible semiparametric alternative. Formal statistical comparisons of the results overwhelmingly reject the parametric approach. Moreover, the differences, particularly for sulfur dioxide, are economically significant.

John A List, Daniel L Millimet

Cited by*: 20 Downloads*: 35

Assumptions of individual rationality and preference stability provide the foundation for a convenient and tractable modeling approach. While both of these assumptions have come under scrutiny in distinct literatures, the two lines of research remain disjointed. This study begins by explicitly linking the two literatures while providing insights into perhaps the central issue facing behavioral economics today: to what extent does market experience mitigate various forms of individual irrationality? We find considerable evidence that the market is a catalyst for rationality. The study then focuses on aggregate market outcomes by examining empirically whether individual rationality is a prerequisite for market efficiency. Using field data gathered from more than 380 subjects of age 6-18 in multi-lateral bargaining markets at a shopping mall, we find that the market is a filter of irrationality--even when markets are populated solely by irrational buyers, aggregate market outcomes quickly converge to neoclassical predictions.

John A List, Daniel L Millimet

Cited by*: 11 Downloads*: 4

One particularly vexing puzzle for economists and policymakers over the past several decades concerns the empirical significance of the theoretically predicted pollution haven hypothesis. While neoclassical theory and conventional wisdom both surmise that local economies will suffer deleterious effects from stricter environmental regulations, empirical studies have largely failed to validate such claims. This study utilizes the method of matching to show that the impact of stricter regulation is heterogeneous spatially, varying systematically based on location-specific attributes. Previous studies that assume a homogenous response may therefore inadvertently mask the overall impact of more stringent regulations by pooling unaffected and affected regions.

John A List, Warren McHone , Daniel L Millimet

Cited by*: 11 Downloads*: 8

Whether lax environmental regulations are an important attraction for mobile capital remains one of the most controversial issues in the area of regulatory federalism. While the extant literature does a nice job of estimating the effects of environmental regulation on the spatial allocation of new plant births, one neglected area of research is the effect that environmental regulation has on plant relocation decisions. This paper uses an annual (1980-90) county level panel data set to examine the relationship between air quality regulatory stringency and the destination choice of relocating plants. We estimate empirical models using both parametric and semi-nonparametric specifications. Empirical results from both models suggest that air quality regulations alter significantly the destination choices of relocating plants.

John A List, Warren McHone , Daniel L Millimet

Cited by*: 11 Downloads*: 19

Whether environmental regulations alter capital flows remains a hotly debated issue. This paper uses county-level data to examine the location decisions of domestic and foreign firms in a single empirical model and tests for asymmetries by firm origin in the degree to which capital flows are influenced by environmental standards. We find that while domestic firms are influenced by environmental regulations, foreign firms are not. Since the benefits of foreign investment are well-documented-foreign plants typically provide more jobs and increase local wages by more than domestic plants-this result suggests a double-dividend is available: foreign plants provide an economic stimulus and are not unduly influenced by environmental protections.

John A List, Warren McHone , Daniel L Millimet

Cited by*: 8 Downloads*: 4

The Clean Air Act and its subsequent amendments have been lauded as the primary stimulant to the impressive improvement in local air quality in the US since 1970. A key component of these regulations is the New Source Review (NSR) requirement, which includes the contentious stipulation that when an existing plant seeks to modify its operations, the entire plant must comply with current standards for new sources. This requirement was included to improve air quality in dirty areas, and prevent a deterioration of air quality in clean areas. Yet, whether NSR provides the proper plant-level incentives is unclear: there are strong disincentives to undertake major plant modifications to avoid NSR. In our examination of more than 2500 and 2200 plant-level modification decisions and closures, respectively, we find empirical evidence suggesting that NSR retards modification rates, while doing little to hasten the closure of existing dirty plants.

Per Fredriksson , John A List, Daniel L Millimet

Cited by*: 8 Downloads*: 1

Empirical evidence suggesting that a considerable amount of horizontal strategic interaction exists amongst governments is important in light of recent devolutionary trends of many important public programs. The empirical approach in these studies typically relies on estimating reaction functions in a uni-dimensional policy framework, where a nonzero slope estimate is interpreted as evidence in support of strategic interactions. While this framework is a useful representation within certain contexts, it is potentially too restrictive; for example, in models of resource competition, localities may use multiple instruments in their recruiting pursuits, leading to potential strategic interactions across policy instruments. In this study, we first develop a simple theoretic construct that includes resource competition in a world of three-dimensional policy choice. The model suggests that while a zero-sloped reaction function may exist for any particular policy, this does not necessarily imply the absence of strategic interactions. We examine the implications of the model empirically using US state-level panel data over the period 1977-1994. The results suggest that important cross-policy strategic interactions exist, lending support in favor of the multi-dimensional framework, and indicate that uni-dimensional frameworks may present lower bound estimates of the degree of strategic interaction.