Intro -- Contents -- I. INTRODUCTION -- II. DATA -- III. ECONOMETRIC PRELIMINARIES -- IV. "INTERNATIONAL R&D SPILLOVERS" REVISITED -- V. INSTITUTIONS AND INTERNATIONAL R&D SPILLOVERS -- VI. CONCLUSIONS -- APPENDIX A: ALTERNATIVE SPECIFICATION -- APPENDIX B: DATA SOURCES AND DEFINITIONS --...

We construct a novel measure of technology adoption, the Embodied Technology Imports Indicator (ETI), available for 181 countries over the period 1970-2020. The ETI measures the technological intensity of imports of each country by leveraging patent data from PATSTAT and product-level trade data...

We estimate the impact of distinct types of slowdowns in China on countries and firms globally. First, we combine a structural vector autoregression framework with a broad-based measure of domestic economic activity in China to distinguish supply versus demand components of Chinese growth. We...

This paper studies how output fluctuations in Russia are transmitted internationally. Using vector autoregression (VAR) and dynamic panel models, the paper finds that Russia's output fluctuations are an important driver of output fluctuations of countries in the region, especially for oil...

This paper articulates and, using newly-assembled data, explores how international taxation affects aggregate tangible cross-border investment. Spillovers from statutory tax rates abroad seem: As sizable as effects from the host's rate; larger than previous consensus values (attributed to a...

This paper develops a structural macroeconometric model of the world economy, disaggregated into thirty five national economies. This panel unobserved components model features a monetary transmission mechanism, a fiscal transmission mechanism, and extensive macrofinancial linkages, both within...

We empirically examine U.S. monetary policy spillovers to the Middle East and Central Asia (ME & CA) region by decomposing U.S. interest rates changes into two orthogonal shocks: the pure monetary policy shock and the information news shock. Using a sample of 16 ME & CA countries, we find that...

While standard demand factors perform well in predicting historical trade patterns, they fail conspicuously in 2020, when pandemic-specific factors played a key role above and beyond demand. Prediction errors from a multilateral import demand model in 2020 vary systematically with the health...