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Rising Temperature and International Trade Dynamics

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NIAID Data Ecosystem2026-05-10 收录
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This repository contains the replication package for the paper “Rising Temperature and International Trade Dynamics”. It provides analysis-ready Stata datasets and do-files that reproduce the main empirical results, robustness checks, channel tests, heterogeneity analyses, and extended analyses reported in the paper (Tables 1–15 and Figures 1–3). Contents Datasets (Stata .dta): Panel A main.dta – core city-by-month panel with trade growth outcomes and local climate variables. Key variables include export/import growth (dlnex, dlnim), price and output changes (dlncpi, dlnind), and climate measures (tem, pre, sun, hum) with constructed lags (ltem, l2tem, etc.). Panel B heterogeneity.dta – extended outcomes and subsamples for heterogeneity tests, including domestic vs. foreign trade indicators (dlnex1–dlnex5, dlnex2, dlnim2) and product-level outcomes used to build Figure 3. Panel C extended.dta – variables for export structure and diversification analyses, including pm, nep, lc, pdiv, sdiv and external temperature shock measures (extem and lags). Code (Stata do-files): 01_baseline_regression.do, 02_robustness_checks.do, 03_channel_analysis.do, 04_heterogeneity_analysis.do, 05_extended_analysis.do. Replication guide: README.pdf (software requirements, variable notes, and execution steps). Software requirements Stata ≥15 (tested on Stata 16/17). Required packages: reghdfe and estout (install via ssc install reghdfe and ssc install estout). How to run Set the working directory to the folder containing the data and do-files, then run do-files in order: 01_baseline_regression.do 02_robustness_checks.do 03_channel_analysis.do 04_heterogeneity_analysis.do 05_extended_analysis.do These files generate the regression outputs used in the manuscript. Figures 1–2 are plotted from reported bin estimates; Figure 3 is constructed from cumulative effect estimates across products (see README for details).
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2026-02-26
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