Funding global public goods: the dark side of multilateralism

The funding of global public goods, such as climate mitigation, presents a complex strategic problem. Potential recipients demand side payments for implementing projects that furnish global public goods, and donors can cooperate to provide the funding. We offer a game-theoretic analysis of this problem. In our model, a recipient demands project funding. Donors can form a multilateral program to jointly fund the project. If no program is formed, bilateral funding remains a possibility. We find that donors rely on multilateralism if their preferences are relatively symmetric and domestic political constraints on funding are lax. In this case, the recipient secures large rents from project implementation. Thus, even donors with strong interests in global public good provision have incentives to oppose institutional arrangements that promote multilateral funding. These incentives have played an important role in multilateral negotiations on climate finance, especially in Cancun (2010) and Durban (2011)

Estimating Equilibrium Models of Sorting across Locations

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.Local Spillovers, Location Choice, Economic Geography, Natural Advantage, Social Interactions, Network Effects, Endogenous Sorting, Discrete Choice Models, Agglomeration, Congestion

Racial Sorting and Neighborhood Quality

In cities throughout the United States, blacks tend to live in significantly poorer and lower-amenity neighborhoods than whites. An obvious first-order explanation for this is that an individual%u2019%u2019s race is strongly correlated with socioeconomic status (SES), and poorer households can only afford lower quality neighborhoods. This paper conjectures that another explanation may be as important. The limited supply of high-SES black neighborhoods in most U.S. metropolitan areas means that neighborhood race and neighborhood quality are explicitly bundled together. In the presence of any form of segregating preferences, this bundling raises the implicit price of neighborhood amenities for blacks relative to whites, prompting our conjecture -- that racial differences in the consumption of neighborhood amenities are significantly exacerbated by sorting on the basis of race, given the small numbers of blacks and especially high-SES blacks in many cities. To provide evidence on this conjecture, we estimate an equilibrium sorting model with detailed restricted Census microdata and use it to carry out informative counterfactual simulations. Results from these indicate that racial sorting explains a substantial portion of the gap between whites and blacks in the consumption of a wide range of neighborhood amenities -- in fact, as much as underlying socioeconomic differences across race. We also show that the adverse effects of racial sorting for blacks are fundamentally related to the small proportion of blacks in the U.S. metropolitan population. These results emphasize the significant role of racial sorting in the inter-generational persistence of racial differences in education, income, and wealth.

Leveraging private capital for climate mitigation: evidence from the clean development mechanism

To mitigate climate change, states must make significant investments into energy and other sectors. To solve this problem, scholars emphasize the importance of leveraging private capital. If states create institutional mechanisms that promote private investment, they can reduce the fiscal cost of carbon abatement. We examine the ability of different international institutional designs to leverage private capital in the context of the Kyoto Protocol's Clean Development Mechanism (CDM). Empirically, we analyze private capital investment in 3749 climate mitigation projects under the CDM, 2003–2011. Since the CDM allows both bilateral and unilateral implementation, we can compare the two modes of contracting within one context. Our model analyzes equilibrium private investment in climate mitigation. When the cost of mitigation is high, unilateral project implementation in one host country, without foreign collaboration, draws more investment than bilateral contracting, whereby foreign investors participate in the project

Global patterns of renewable energy innovation, 1990–2009

Cost-effective approaches to mitigating climate change depend on advances in clean energy technologies, such as solar and wind power. Given increased technology innovation in developing countries, led by China, we focus our attention on global patterns of renewable energy innovation. Utilizing highly valuable international patents as our indicator of innovation, we examine the economic and political determinants of energy innovation in 74 countries across the world, 1990–2009. We find that high oil prices and domestic renewable electricity generation capacity both increase innovation. There is no effect for corruption, but our findings suggest that democratic institutions may contribute to innovation. The main implication of our work for policymakers is that increasing renewable electricity capacity in developing countries could significantly contribute to global innovation in renewable energy

Place of Work and Place of Residence: Informal Hiring Networks and Labor Market Outcomes

We use a novel data set and identification strategy to empirically detect the presence and magnitude of local social interactions effects in the labor market. We argue that the use of informal referrals has implications for the spatial distribution of residential and work locations, that can then be used to test for the presence of such effects. Restricted access Census Bureau data for the Boston metropolitan area are usedSocial Interactions, Job Search, Geography

The Effectiveness of Juvenile Correctional Facilities: Public versus Private Management

This paper uses data on juvenile offenders released from correctional facilities in Florida to explore the effects of facility management type (private for-profit, private nonprofit, public state-operated, and public county-operated) on recidivism outcomes and costs. The data provide detailed information on individual characteristics, criminal and correctional histories, judge-assigned restrictiveness levels, and home zipcodes—allowing us to control for the non-random assignment of individuals to facilities far better than any previous study. Relative to all other management types, for-profit management leads to a statistically significant increase in recidivism, but, relative to nonprofit and state-operated facilities, for-profit facilities operate at a lower cost to the government per comparable individual released. Costbenefit analysis implies that the short-run savings offered by for-profit over nonprofit management are negated in the long run due to increased recidivism rates, even if one measures the benefits of reducing criminal activity as only the avoided costs of additional confinement.Juvenile Crime; Juvenile Correctional Facilities; Recidivism; Prison Privatization; Provision of Public Goods: Nonprofit, For-profit, Public

Identifying Individual and Group Effects in the Presence of Sorting: A Neighborhood Effects Application

Researchers have long recognized that the non-random sorting of individuals into groups generates correlation between individual and group attributes that is likely to bias naïve estimates of both individual and group effects. This paper proposes a non-parametric strategy for identifying these effects in a model that allows for both individual and group unobservables, applying this strategy to the estimation of neighborhood effects on labor market outcomes. The first part of this strategy is guided by a robust feature of the equilibrium in vertical sorting models - a monotonic relationship between neighborhood housing prices and neighborhood quality. This implies that under certain conditions a non-parametric function of neighborhood housing prices serves as a suitable control function for the neighborhood unobservable in the labor market outcome regression. This control function transforms the problem to a model with one unobservable so that traditional instrumental variables solutions may be applied. In our application, we instrument for each individual’s observed neighborhood attributes with the average neighborhood attributes of a set of observationally identical individuals. The neighborhood effects model is estimated using confidential microdata from the 1990 Decennial Census for the Boston MSA. The results imply that the direct effects of geographic proximity to jobs, neighborhood poverty rates, and average neighborhood education are substantially larger than the conditional correlations identified using OLS, although the net effect of neighborhood quality on labor market outcomes remains small. These findings are robust across a wide variety of specifications and robustness checks.

Does it pay to play? How bargaining shapes donor participation in the funding of environmental protection

Multilateral funding for global environmental protection, such as biodiversity conservation, requires donor participation. When are donors willing to participate? We examine a game-theoretic model of multilateral funding for environmental projects in developing countries. Donors must first decide whether to participate in a multilateral institution. They do so in anticipation of a bargaining outcome that depends on their participation decisions. The multilateral institution then bargains with a recipient over the distribution of gains from project implementation. We find that the donors' and the recipient's vulnerability to negative environmental externalities have diverging effects on their participation behavior. As donors' vulnerability to negative externalities increases, their bargaining power decreases and fewer donors participate. But as the recipient's vulnerability increases, more donors participate because their bargaining power grows. These findings can illuminate bargaining over multilateral climate finance and inform the design of international institutions

Residential Segregation in General Equilibrium

This paper studies the causes and consequences of racial segregation using a new general equilibrium model that treats neighborhood compositions as endogenous. The model is estimated using unusually detailed restricted Census microdata covering the entire San Francisco Bay Area, and in combination with a rich array of econometric estimates, serves as a powerful tool for carrying out counterfactual simulations that shed light on the causes and consequences of segregation. In terms of causes, and contrasting with prior research, our GE simulations indicate that equalizing income and education across race would be unlikely to result in significant reductions in racial segregation, as minority households would sort into newly formed minority neighborhoods. Indeed, among Asian and Hispanic households, segregation increases. In terms of consequences, this paper provides the first evidence that sorting on the basis of race gives rise to significant reductions in the consumption of local public goods by minority households and upper-income minority households in particular. These consumption effects are likely to have important intergenerational implications.Segregation, General Equilibrium, Endogenous Sorting, Urban Housing Market, Locational Equilibrium, Counterfactual Simulation, Discrete Choice