Knowledge that Transforms

West Bengal potato farmers cannot directly access wholesale markets and do not knowwholesale prices. Local middlemen earn large margins; pass-through from wholesale to farmgate prices is negligible. When we informed farmers in randomly chosen villages about wholesale prices, average farmgate sales and prices were unaffected, but pass-through to farmgate prices increased. These results can be explained by a model where farmers bargain ex post with village middlemen, with the outside option of selling to middlemen outside the village. They are inconsistent with standard oligopolistic models of pass-through, search frictions, or risk-sharing contracts.

I use daily prices collected from online retailers in five countries to study the impact of measurement bias on three common price stickiness statistics. Relative to previous results, I find that online prices have longer durations, with fewer price changes close to 0, and hazard functions that initially increase over time. I show that time-averaging and imputed prices in scanner and CPI data can fully explain the differences with the literature. I then report summary statistics for the duration and size of price changes using scraped data collected from 181 retailers in 31 countries.

Using employee-employer matched data, I analyze the impact of a low-wage trade shock on manufacturing workers in a high-wage country, Denmark, and how they adjust to the shock over a decade. I derive causal effects by exploiting the dismantling of the Multifiber Arrangement quotas on products from China upon its WTO accession as a quasi-natural experiment and use within-industry, within-occupation heterogeneity in workers’ exposure to this shock. I find significant negative long-run effects on earnings and employment trajectories and identify job instability in the service sector as a main adjustment friction, concentrated among workers with manufacturing-specific education and occupation. The results establish the importance of specific human capital in trade adjustment and provide evidence of skill upgrading as workers rebuild lost human capital through education.

This paper examines whether high-speed Internet affects students' college applications. Our analysis links the diffusion of residential broadband to the testing and application outcomes of millions of PSAT and SAT takers and reveals that students with broadband in their postal code perform better on the SAT and apply to a higher number and more expansive set of colleges. While the availability of broadband generally improved applications to college, the effects appear to be concentrated among high-SES students, suggesting that the new technology may have increased preexisting inequities.

We conduct a disaggregated empirical analysis of civil conflict at the subnational level in Africa over 1997 to 2011 using a new gridded data set. We construct an original measure of agriculture-relevant weather shocks exploiting within-year variation in weather and in crop growing season and spatial variation in crop cover. Temporal and spatial spillovers in conflict are addressed through spatial econometric techniques. Negative shocks occurring during the growing season of local crops affect conflict incidence persistently, and local conflict spills over to neighboring cells. We use our estimates to trace the dynamic response to shocks and predict how future warming may affect violence.

This paper analyzes "attribute-based regulations," in which regulatory compliance depends upon some secondary attribute that is not the intended target of the regulation. For example, in many countries, fuel-economy standards mandate that vehicles have a certain fuel economy, but heavier or larger vehicles are allowed to meet a lower standard. Such policies create perverse incentives to distort the attribute upon which compliance depends. We develop a theoretical framework to predict how actors will respond to attribute-based regulations and to characterize the welfare implications of these responses. To test our theoretical predictions, we exploit quasi-experimental variation in Japanese fuel economy regulations, under which fuel-economy targets are downward-sloping step functions of vehicle weight. Our bunching analysis reveals large distortions to vehicle weight induced by the policy. We then leverage panel data on vehicle redesigns to empirically investigate the welfare implications of attribute-basing, including both potential benefits and likely costs.

We study the effect of birth order on personality using Swedish population data. Earlier-born men are more emotionally stable, persistent, socially outgoing, willing to assume responsibility, and able to take initiative than later borns. Firstborn children aremore likely to bemanagers and to be in occupations requiring leadership ability, social ability, and Big Five personality traits.We find a significant role for the sex composition within the family. When investigating possible mechanisms, we find that negative effects of birth order are driven by postnatal environmental factors. We also find evidence of lower parental human capital investments in later-born children.

The Beveridge-Nelson decomposition based on autoregressive models produces estimates of the output gap that are strongly at odds with widely held beliefs about transitory movements in economic activity. This is due to parameter estimates implying a high signal-to-noise ratio in terms of the variance of trend shocks as a fraction of the overall forecast error variance. When we impose a lower signal-to-noise ratio, the resulting Beveridge-Nelson filter produces a more intuitive estimate of the output gap that is large in amplitude and highly persistent, and it typically increases in expansions and decreases in recessions. Notably, our approach is also reliable in the sense of being subject to smaller revisions and predicting future output growth and inflation better than other trend-cycle decompositions that impose a low signal-to-noise ratio.

This paper presents a new approach to the measurement of the effects of spatial mismatch that takes advantage of matched employeremployee administrative data integrated with a person-specific job accessibility measure, as well as demographic and neighborhood characteristics. We focus on a group of job searchers for plausibly exogenous reasons: lower-income workers with strong labor force attachment separated during a mass layoff. Our results support the spatial mismatch hypothesis. We find that better job accessibility significantly decreases the duration of joblessness among lower-income displaced workers, especially for blacks, women, and older workers.

In this paper, we empirically measure the impact of natural disasters on firm-level operating performance and examine if such impact can be mitigated by technology diversification. Using major natural disasters specified by Barrot and Sauvagnat (2015) and factory location data from the toxic release inventory (TRI) database, we first find that firms with factories located in states affected by natural disasters are much less profitable. Second, we find that firms with diversified technologies are significantly less subject to the impact of natural disasters, suggesting that technology diversity enhances firms’ sustainability.