The database contains consistent data on international and domestic trade at the industry level covering agriculture, mining, energy, manufacturing, and services.

International Trade and Production Database for Simulation (ITPD-S).

The database contains consistent data on international and domestic trade at the industry level covering agriculture, mining, energy, manufacturing, and services. It covers 170 industries in all broad sectors of the economy in 265 countries for the years 1986-2019. It contains 292,408,351 observations, most of which are from administrative data sources while others are estimated using a variety of methods described in the technical documentation. The ITPD-S Release 1 provides the following coverage: 1986-2019 (1986-2019 for Agriculture, 1988-2019 for Manufacturing, Mining and Energy, 2000-2019 for Services ) 265 countries, 170 industries.

Analyzing and simulating trade policy scenarios in a complex and intertwined global economy requires a database with a complete bilateral trade matrix at the level of highly disaggregated industries over several decades. Such a database has not been created until now. This paper introduces the International Trade and Production Database for Simulation (ITPD-S). In combination with the International Trade and Production Database for Estimation (ITPD-E), we use it to quantify the impact of globalization on bilateral trade, real income, and inequality in the world at the detailed industry level in 1990-2019. To perform the analysis, we rely on a new quantitative trade model that enables us to estimate the magnitude of globalization and then perform a counterfactual analysis of the impact of globalization on real output within the same framework. Our estimates reveal that, on average, bilateral globalization forces have led to a remarkable increase in international trade of about 570%, between 1990 and 2019, with very wide but intuitive variation across industries. Our counterfactual analysis reveals that globalization has benefited most countries but relatively more so smaller and more open economies, which are typically developing countries. As a result, this ‘catch-up’ implies less cross-country income inequality.

Replication data for "A Pragmatic Approach to Estimating Nondiscriminatory Non-tariff Trade Costs". The included datasets represent the compiled and cleaned data used for the econometric analysis presented in sections 3 and 4 of the article. These data were derived from the following public sources: ITPD (https://www.usitc.gov/data/gravity/itpde.htm), Dynamic Gravity (https://www.usitc.gov/data/gravity/dgd.htm), TRAINS NTM (https://trains.unctad.org/Forms/Analysis.aspx), TRAINS tariff (https://wits.worldbank.org), World Development Indicators: (https://databank.worldbank.org)