Yes You Can, Can’t You? A Statistical Comparison of Economic Liberalizations Around the World
Tommaso Nannicini () and
Andreas Billmeier ()
No 352, Working Papers from IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University
We use a transparent statistical methodology for data-driven case studies—synthetic control methods to investigate the impact of economic liberalization episodes on the pattern of real per capita GDP in a worldwide sample of countries. Economic liberalizations are measured by a widely used indicator that captures the scope of the market in the economy, mainly in terms of openness to international trade. The applied methodology compares the post-liberalization growth of treated (open) economies with the growth of a convex combination of similar but untreated (closed) economies, controlling for time-varying unobservables. We find that opening up the economy had a positive effect in most regions that we can analyze in our framework, but we note that more recent liberalizations (after 1989), mainly in Africa, had no significant impact on growth, indicating either an “early bird” gain from globalization or the lack of complementary policies in some countries.
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