Quadratic voting as an input to cost-benefit analysis

When agencies regulate, they must calculate the costs and benefits of their regulations. To do this, they must often price non-market goods—for instance, the value of protecting wildlife or the environment. Regulators have typically relied upon contingent valuation surveys to put prices on these types of goods. But contingent valuation surveys are fraught with error and often give rise to implausible valuations that cannot be trusted. Quadratic voting offers a better solution. Agencies should hold quadratic votes over nonmarket goods and use those votes to price the goods at issue.     

The Impact of Prenatal Exposure to Power Plant Emissions on Birth Weight: Evidence from a Pennsylvania Power Plant Located Upwind of New Jersey

To examine the infant health impact of prenatal exposure to power plant emissions, we draw scientific evidence on the impacted region downwind of a large polluter, a coal‐fired power plant located on the border of two states and proven to be the sole contributor to the violation of air quality standards of the impacted region. Our results show that among all live singleton births that occurred during 1990 through 2006, those born to mothers living as far as 20 to 30 miles away downwind from the power plant (which is also an affluent region) during pregnancy are at greater risks of low birth weight (LBW) and very low birth weight (VLBW): the likelihoods of LBW and VLBW could increase approximately by 6.50 and 17.12 percent, respectively. In light of the continual efforts of The U.S. Environmental Protection Agency in reducing cross‐state air pollution caused by transboundary power plant emissions, our study is aimed at broadening the scope of cross‐border pollution impact analysis by taking into account adverse infant health effects of upwind polluters, which can impose disproportionate burdens of health risks on downwind states due to air pollutants transported by wind.     

State Capacity,Bureaucratic Politicization,and Corruption in the Brazilian State

Responding to recent articles in Governance highlighting the need for improved measurement of bureaucratic characteristics, this article describes efforts to map Brazil's federal agencies on three dimensions—capacity, autonomy, and partisan dominance—derived from data on more than 326,000 civil servants. The article provides a “proof of concept” about the utility of agency‐level measures of these variables, demonstrating how they relate to an output common to all agencies: corruption. The article provides a first step in the direction of building a comparative research program that offers objective evaluation of bureaucracies within nation‐states, with the intent of better disentangling their impact on governance outcomes.     

Temporary Loan Limits as a Natural Experiment in Federal Housing Administration Insurance

The Economic Stimulus Act of 2008 dramatically but temporarily increased the mortgage loan amount eligible for insurance through the Federal Housing Administration (FHA). We use the implementation and expiration of these loan limits as a source of exogenous variation in the availability of FHA insurance to measure the impact on the overall mortgage market and conventional lending. We find that the introduction of higher loan limits increased the number of loan originations, but that the expiration of those loan limits roughly 6 years later did not significantly decrease affected loan originations. The substitution between loan products and small net impact on the overall mortgage market when the ESA loan limits expired may be explained by the return of a stronger conventional lending industry than existed during the housing crisis.     

Intraparty Hostility: Social Identity,Subidentity, and the Hostile Media Effect in a Contested Primary

The hostile media effect (HME) has generally been tested in terms of in-groups and out-groups, with a “neutral” story in between. This ignores the nature of many social groups as comprising subgroups, often but not always sharing feelings of connectedness and purpose. In cases when bounded subgroups are at odds with one another, HME provides little guidance. A contested partisan primary provides such a case. This study takes identity centrality, candidate favorability, and perceived social network homogeneity as measures of partisanship and involvement, hypothesizing relationships between each and perceived bias against one’s candidate and party. Findings show that markers of candidate-focused social identity predict greater perceived bias against one’s candidate during the 2016 primary season, while party-focused identity fails to predict perceived bias against one’s party. This suggests that candidate support identity overrides plain partisanship during primaries, supporting concern that a heated primary might damage general election party unity. Subsequent postconvention findings suggest that the salience of candidate-focused identity fades, while homogeneity of one’s network regarding party support helps to make perceived hostility toward one’s party identity more salient. However, as campaigns become more candidate-centered, the contestation between nested candidate and party identities may grow fiercer.