Knowledge that Transforms

This survey investigates the increasing importance of global public goods (GPGs) in today’s interdependent world, driven by ever-growing, cross-border externalities and public good spillovers. Novel technologies, enhanced globalization, and population increases are among the main drivers of the rise of GPGs. Key GPGs include curbing climate change, instituting universal regulatory practices, eradicating infectious diseases, preserving world peace, discovering scientific breakthroughs, and limiting financial crises. The survey presents a compact theoretical foundation for GPGs, grounded in the provision of public goods. Because countries may be contributors or noncontributors to a particular GPG, coalition formation and behavior play a role, as do strategic interactions between a contributor coalition and other countries. In the survey, recurrent themes include strategic considerations, alternative institutional arrangements, GPGs’ defining properties, new actors’ roles, and collective action concerns. The four properties of GPGs—benefit non-rivalry, benefit non-excludability, aggregator technology, and spillover range—influence the GPGs’ supply prognoses and the need for and form of provision intervention, which may affect the requisite institutional changes. Three representative case studies illustrate how theoretical insights inform policy and empirical tests. Regional public goods are shown to involve a question of subsidiarity and different actors compared to GPGs.

Household financial decisions are complex, interdependent, and heterogeneous, and central to the functioning of the financial system. We present an overview of the rapidly expanding literature on household finance (with some important exceptions) and suggest directions for future research. We begin with the theory and empirics of asset market participation and asset allocation over the life cycle. We then discuss household choices in insurance markets, trading behavior, decisions on retirement saving, and financial choices by retirees. We survey research on liabilities, including mortgage choice, refinancing, and default, and household behavior in unsecured credit markets, including credit cards and payday lending. We then connect the household to its social environment, including peer effects, cultural and hereditary factors, intra-household financial decision-making, financial literacy, cognition, and educational interventions. We also discuss literature on the provision and consumption of financial advice.

We propose methods of estimating the linear-in-means model of peer effects in which the peer group, defined by a social network, is endogenous in the outcome equation for peer effects. Endogeneity is due to unobservable individual characteristics that influence both link formation in the network and the outcome of interest. We propose two estimators of the peer effect equation that control for the endogeneity of the social connections using a control function approach. We leave the functional form of the control function unspecified, estimate the model using a sieve semiparametric approach and establish asymptotics of the semiparametric estimator.

This study investigates the relationship between credit availability and household consumption using a novel approach to separate credit demand and supply. We find that a deterioration in local-bank health reduces household consumption, with the strongest effects occurring for households that are more likely to need credit—especially those experiencing a negative income shock and having limited liquid assets. The main contributions of the study are the use of an arguably exogenous measure of local-bank health and multifaceted indicators of constrained households. Our findings contribute to the discussion of the linkages between the financial sector and real economic activity.

This paper finds that capital and labor incomes in the United States have become more closely associated since the 1980s. This has contributed to the well-known increase in the top 1% share of total income, exacerbating rising inequality in capital incomes and earnings. We show that the trend in the association is U-shaped as the recent increase contrasts with a tendency toward a weakening association until the 1980s. The paper, using data derived from tax records, studies the asymmetries in the association and tests for robustness to alternative income definitions, including the role of income from closely held businesses at the top.

We estimate the effects of political accountability on the selection of politicians when accountability mechanisms are prone to political capture. We compare the characteristics of candidates running in municipalities where the previous incumbent was ousted from office through a recall referendum with those who run where the recall referendum failed by a small margin. Having a recalled incumbent in the previous term causes a negative selection of candidates in terms of their education and previous experience. They are also less representative of indigenous groups. The results are driven by localities where the accountability institution is likely used for political purposes.

Nonprofit colleges and universities have merged across the United States citing economies of scale and scope. Yet whether these mergers raise prices has not been empirically assessed. Using a retrospective merger evaluation approach, I estimate that the average merger between 2000 and 2015 increased tuition and fees by 5% to 7% relative to nonmerging institutions in the same state and sector (public or nonprofit). Effects on net prices are estimated imprecisely, but the results are suggestive that nonprofit colleges use mergers to increase price discrimination.

Behind many production function estimators lies a crucial assumption that the firm's choice of intermediate inputs depends only on observed choices of other inputs and on unobserved productivity. This assumption fails when market frictions distort the firm's input choices. I derive a test for the assumption, which is rejected in several industries. Using weak identification asymptotics, I show that when the assumption fails, a simplified dynamic panel estimator can be used instead of choice-based methods because it requires choices to be distorted. I propose criteria for choosing between estimators, which in simulations yield lower error than either estimator alone.

Tax enforcement is especially costly when market participants are difficult to observe. The benefits of enforcement depend crucially on pre-enforcement compliance. We de rive an upper bound on pre-enforcement compliance from the pass-through of newly enforced taxes. Using data on Airbnb listings and the platform's voluntary collection agreements, we find that taxes are paid on, at most, 24% of Airbnb transactions prior to enforcement. We also find that demand for Airbnb listings is inelastic, driving three key insights: the tax burden falls disproportionately on renters, the excess burden is small, and tax enforcement is relatively ineffective at reducing local Airbnb activity.