Monday, May 20, 2019

Climate Change Heterogeneity

One can only go so far in climate econometrics studying time series like the proverbial "global average temperature", just as one can only go so far in macroeconomics with the proverbial "representative agent".  Disaggregation will be key to additional progress, as different people in different places experience different climate "treatments" and different economic outcomes.  The impressive new paper below begins to confront the massive tasks of data collection, manipulation, analysis, and visualization, in the context of a disaggregated analysis of the effects of temperature change on aggregate output.

"Climatic Constraints on Aggregate Economic Output", by Marshall Burke and Vincent Tanutama, NBER Working Paper No. 25779, 2019.

Abstract:  Efficient responses to climate change require accurate estimates of both aggregate damages and where and to whom they occur. While specific case studies and simulations have suggested that climate change disproportionately affects the poor, large-scale direct evidence of the magnitude and origins of this disparity is lacking. Similarly, evidence on aggregate damages, which is a central input into the evaluation of mitigation policy, often relies on country-level data whose accuracy has been questioned. Here we assemble longitudinal data on economic output from over 11,000 districts across 37 countries, including previously nondigitized sources in multiple languages, to assess both the aggregate and distributional impacts of warming temperatures. We find that local-level growth in aggregate output responds non-linearly to temperature across all regions, with output peaking at cooler temperatures (<10°C) than estimated in earlier country analyses and declining steeply thereafter. Long difference estimates of the impact of longer-term (decadal) trends in temperature on income are larger than estimates from an annual panel model, providing additional evidence for growth effects. Impacts of a given temperature exposure do not vary meaningfully between rich and poor regions, but exposure to damaging temperatures is much more common in poor regions. These results indicate that additional warming will exacerbate inequality, particularly across countries, and that economic development alone will be unlikely to reduce damages, as commonly hypothesized. We estimate that since 2000, warming has already cost both the US and the EU at least $4 trillion in lost output, and tropical countries are >5% poorer than they would have been without this warming.

Monday, May 13, 2019

Understanding the Bad News for IV Estimation

In an earlier post I discussed Alwyn Young's bad news for IV estimation, obtained by Monte Carlo. Immediately thereafter, Narayana Kocherlakota sent his new paper, "A Near-Exact Finite Sample Theory for an Instrumental Variable Estimator", which provides complementary analytic insights. Really nice stuff.