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Researchers make hundreds of decisions about data collection, preparation, and analysis in their research. We use a many-analysts approach to measure the extent and impact of these decisions. Two published causal empirical results are replicated by seven replicators each. We find large differences in data preparation and analysis decisions, many of which would not likely be reported in a publication. No two replicators reported the same sample size.Statistical significance varied across replications, and for one of the studies the effect's sign varied as well. The standard deviation of estimates across replications was 3-4 times the mean reported standard error.

Female bargaining power in rural Haryana, as in much of northern India, is constrained by widespread discrimination against women. In recent years, however, women successfully demand private sanitation facilities from potential husbands as a precondition for marriage. I study this manifestation of bargaining power by modeling latrine adoption as an investment that males can make to improve their desirability on the marriage market, and I show that increasing proportions of females with strong sanitation preferences drive male investment in toilets. Moreover, I demonstrate women's ability to secure latrines increases when they are relatively scarce in a marriage market. I test these predictions empirically by studying a sanitation program in Haryana, India, known colloquially as "No Toilet, No Bride". Using a triple difference empirical strategy based on households with and without marriageable boys, in Haryana and comparison states, before and after program exposure, I provide evidence that male investment in sanitation increased by 15% due to the program. Further, the program effect is four times larger in marriage markets where women are scarce (26%) as compared to marriage markets where women are abundant (6%). These results suggest the relative scarcity of women in Haryana has, conditional on women surviving to marriageable age, improved the ability of the remaining women to secure valuable goods.JEL Classification: D1, J12, O12, O13

Peruvian agriculture will likely experience serious economic impacts of climate change, with changing rainfall and temperature patterns forcing farmers to confront abnormal climate conditions. In this context we study the impact of climate shocks on the agricultural practices of farmers who grow two main staples: maize and potato. We focus on four types of agricultural techniques: (a) those that reduce soil degradation, (b) those that conserve water, (c) the application of inorganic fertilizer, and (d) the application of pesticides and herbicides. We combine three rounds of cross‐sectional data from the Peru National Agricultural Survey with long‐term climate data to construct georeferenced shocks of abnormal rainfall levels and variation. Our empirical strategy controls for time‐invariant characteristics of small localities, secular time trends, and farmer and farm characteristics to estimate how shocks affect farmers' choices in subsequent growing cycles. Our findings show that: (a) farmers reduce soil conservation practices after one year of high rainfall, but multiple years of low rainfall increase adoption significantly; (b) the rate of pesticide use increases by eight percentage points following a drought year but is insensitive to multiple shock years; (c) water conservation measures are used less after high precipitation or when volatility was unusually low, and multiple years of insufficient rain tend to enhance this response; and (d) fertilizer use is less sensitive than other outcomes to weather fluctuations. These findings suggest that understanding how responsive farmers' practices are to weather shocks can inform policy design and help mitigate risks from changing weather patterns.

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