Knowledge that Transforms

Nearly 1 billion people still lack electricity access. Developing countries are investing billions of dollars in “last-mile” electrification, although evidence on its economic impacts is mixed. We estimate the development effects of rural electrification in the context of India’s national electrification program, RGGVY (Rajiv Gandhi Grameen Vidyutikaran Yojana), which reached over 400,000 villages. Using regression-discontinuity and difference-in-differences designs, we estimate that RGGVY meaningfully expanded electricity access. However, the program generated limited economic impacts after 3–5 years. Scaling our intent-to-treat estimates using instrumental variables, we find that “full electrification” reduces welfare in small villages but has a 33% internal rate of return in large villages.

We examine persuasion when the sole source of credibility today is a desire to maintain a public record for accuracy. A long-run sender plays a cheap talk game with a sequence of short-run receivers, who observe some record of feedback about past accuracy. When all feedback is public (as is standard in repeated games), persuasion frequently requires inefficient on-path punishment—even if accuracy is monitored perfectly. If instead the record publishes coarse summary statistics (as is common online), any communication equilibrium the sender prefers to one-shot cheap talk—including Bayesian persuasion—can be supported without cost.

We characterize optimal honest and obedient (HO) mechanisms for the classic collective action problem with private information, where group success requires costly participation by some fraction of its members. For large n, a simple HO mechanism, the volunteer-based organization, is approximately optimal. Success is achieved in the limit with probability one or zero depending on the rate at which the required fraction declines with n. For finite n, optimal HO mechanisms provide substantial gains over unorganized groups when the success probability converges to zero, because the optimal HO success probability converges slowly and is always positive, while finite-sized unorganized groups have exactly zero probability of success.

Credit markets and property rights are fundamental for modern economies, but their implications for the commons are unknown. Using a dynamic model of competitive resource extraction, we show that improving property right security unambiguously increases conservation incentives, but the effect of credit markets on resource extraction effort hinges on the security of property rights. We test these predictions using data on global fisheries, credit markets, and the largest ever marine property rights assignment. We find that property right security reduces resource extraction and that credit market development increases resource extraction under insecure property rights but reduces resource extraction under secure property rights.

Forecasts of professional forecasters are anomalous: they are biased, and forecast errors are autocorrelated and predictable by forecast revisions. We propose that these anomalies arise because professional forecasters do not know the model that generates the data. We show that Bayesian agents learning about hard-to-learn features of the world can generate all the prominent aggregate anomalies emphasized in the literature. We show this for professional forecasts of nominal interest rates and Congressional Budget Office forecasts of gross domestic product growth. Our learning model for interest rates can explain observed deviations from the expectations hypothesis of the term structure without relying on time variation in risk premia.

We develop a model of market entry under social learning through word of mouth (WOM). The success of an entrant depends on consumer awareness generated via WOM, modeled as a percolation process on a random graph. The likelihood of an entrant gaining significant awareness depends on network structure, characterized by the first three factorial moments of the degree distribution. We identify three pricing equilibria: blockaded, deterred, and accommodated entry. The model demonstrates that increased network density can shift equilibria from blockaded to deterred and eventually to accommodated entry. Numerical simulations suggest that consumer surplus may be nonmonotonic with respect to network density. Additionally, if incumbents can charge personalized prices based on consumers' connectivity, they may optimally set lower prices for highly connected consumers.

Most household production studies ignore unobserved inputs. Without additional assumptions, however, estimated impacts of the observed inputs cannot provide informative estimates of marginal products because of contaminating variations in unobserved inputs. Not even the signs of marginal impacts can be ascertained. One can establish the direction of these biases and significantly reduce them by including detailed information about nonproductive (pure consumption) goods in the analysis. Estimates from prior demand studies can also help determine the direction of the bias. We describe the stringent assumptions one must invoke in the absence of such additional information to be able to relate estimated effects to the true marginal products.

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This paper estimates the effect of financial sponsorship of clinical trials on reported drug efficacy, leveraging the insight that the exact same pairs of drugs are often compared in different trials conducted by parties with different financial interests. I assemble new psychiatric trial data to estimate that a drug appears substantially more effective when the trial is sponsored by that drug’s manufacturer, compared with the same drug tested against the same combination of drugs but without sponsorship. This difference is not explained by observable characteristics, but publication bias is important. Preregistration may be effective in overcoming this bias.

This paper studies how competition affects firms’ expectations in a new dynamic general equilibrium model with rational inattention and oligopolistic competition where firms acquire information about their competitors’ beliefs. In the model, firms with fewer competitors are less attentive to aggregate variables—a novel prediction supported by survey evidence. A calibrated version of the model matches the relationship between firms’ numbers of competitors and their uncertainty about aggregate inflation as a nontargeted moment. A quantitative exercise reveals that firms’ strategic inattention to aggregates significantly amplifies monetary nonneutrality and shifts output response disproportionately toward less competitive oligopolies by distorting relative prices.