I examine replications of empirical papers in development economics published in the top-5 and next-5 general interest journals between the years 2000 through 2015. Of the 1,138 empirical papers, 71 papers (6.2 percent) were replicated in another published paper or working paper. The majority (77.5 percent) of replications involved reanalysis of the data using different econometric specifications to assess robustness. The strongest predictor of whether a paper is replicated or not is the paper's Google Scholar citation count, followed by year of publication. Papers based on randomized control trials (RCTs) appear to be replicated at a higher rate (12.5 percent).

Antipoverty programs in developing countries are often difficult to implement; in particular, many governments lack the capacity to deliver payments securely to targeted beneficiaries. We evaluate the impact of biometrically authenticated payments infrastructure (“Smartcards”) on beneficiaries of employment (NREGS) and pen sion (SSP) programs in the Indian state of Andhra Pradesh, using a large-scale experiment that randomized the rollout of Smartcards over 157 subdistricts and 19 million people. We find that, while incompletely implemented, the new system delivered a faster, more predictable, and less corrupt NREGS payments process without adversely affecting program access. For each of these outcomes, treatment group distributions first-order stochastically dominated those of the control group. The investment was cost-effective, as time savings to NREGS beneficiaries alone were equal to the cost of the intervention, and there was also a significant reduction in the “leakage” of funds between the government and beneficiaries in both NREGS and SSP programs. Beneficiaries overwhelmingly preferred the new system for both programs. Overall, our results suggest that investing in secure payments infrastructure can significantly enhance “state capacity” to implement welfare programs in developing countries.

Households in developing countries often face variation in the prices of consumption goods. We develop a model demonstrating that in-kind transfers will provide insurance benefits against price risk if the covariance between the marginal utility of income and price is positive. Using calorie shortfalls as a proxy for marginal utility, we find that this condition holds for low-income Indian households. Expansions in India’s flagship in-kind food transfer program not only increase caloric intake but also reduce caloric sensitivity to prices. Our results contribute to ongoing debates about the optimal form of social protection programs.