Using Chilean data, we document that for resource-rich small open economies the effects of terms of trade shocks on the wage gap (between skilled and unskilled workers) depend on factor intensities in the non-tradable sector, following the model in Galiani, Heymann, and Magud (2010). For a skilled-intensive non-tradable sector we show that improvements in the terms of trade benefit skilled workers. We also show that this relation holds at the industry level: the wage gap widens in skilled-intensive sectors while it shrinks in unskilled-intensive ones, the more so as terms of trade volatility decreases.
Industrial policy is tainted with bad reputation among policymakers and academics and is often viewed as the road to perdition for developing economies. Yet the success of the Asian Miracles with industrial policy stands as an uncomfortable story that many ignore or claim it cannot be replicated. Using a theory and empirical evidence, we argue that one can learn more from miracles than failures. We suggest three key principles behind their success: (i) the support of domestic producers in sophisticated industries, beyond the initial comparative advantage; (ii) export orientation; and (iii) the pursuit of fierce competition with strict accountability.
In February 2016, twelve Pacific Rim countries signed the agreement on the Trans Pacific Partnership (TPP), one of the largest and most comprehensive trade deals in history. While there are several estimates of the likely effects of the TPP, there is no systematic study on the effects on all Latin American countries. We present the results from applying a multi-sector model with perfect competition presented by Costinot and Rodriguez-Clare (2014). The exercise, based on input-output data for 189 countries and 26 sectors, shows that (i) Asian TPP members are estimated to benefit most from the agreement, (ii) negative spillovers to non-TPP LAC countries appear to be of a different order of magnitude than the gains of members, and (iii) some non-TPP LAC countries may experience relatively large benefits from joining the TPP. As a cautionary note, however, we point out that even a cursory cross-study comparison shows that there is considerable uncertainty regarding the potential effects of the TPP for both members and non-members.
This paper presents a set of collaborative filtering algorithms that produce product recommendations to diversify and optimize a country's export structure in support of sustainable long-term growth. The recommendation system is able to accurately predict the historical trends in export content and structure for high-growth countries, such as China, India, Poland, and Chile, over 20-year spans. As a contemporary case study, the system is applied to Paraguay, to create recommendations for the country's export diversification strategy.