We thank Charles Engel, Joe Gagnon and Ken West for helpful comments. The financial support of University of Wisconsin graduate research funds is gratefully acknowledged by Chinn. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research. NBER working papers are circulated for discussion and comment purposes. They have not been peerreviewed or been subject to the review by the NBER Board of Directors that accompanies official NBER publications.
We identify key factors, from large set of potential determinants, that explain the variation in export diversification across countries and over time using Bayesian Model Averaging (BMA), which addresses model uncertainty and ranks factors in order of importance vis-avis their explanatory power. Our analysis suggests, in order to diversify, policy makers should prioritize human capital accumulation and reduce barriers to trade. Other policy areas include improving quality of institutions and developing the financial sector. For commodity exporters reducing barriers to trade is the most important driver of diversification, followed by improving education outcomes at the secondary level and financial sector development.
How does a decline in oil prices and its impacts on growth affect remittance outflows from the Gulf Cooperation Council (GCC) countries? This paper carries out an empirical analysis of the relationship between oil prices, oil‐ and non‐oil GDP, and remittances outflows from the GCC. The findings of our paper are three folds. First, we find that non‐oil GDP is a key determinant of remittance outflows and that oil GDP is a significant driver of non‐oil GDP in the GCC only in the long term. Second, we document that historically oil prices and remittances tend to broadly move in the same direction but that remittances have been much less volatile than oil prices. An analysis of the past large oil price declines shows that remittance flows to major remittance recipients in Mashreq, Pakistan, and Yemen fell only modestly following large declines in oil prices and recovered quickly in line with oil prices. Finally, we estimate the elasticity of remittance outflows with respect to non‐oil GDP in the GCC using various techniques. Estimates of short‐term elasticity vary between 0.5 and 0.8, while estimates of long‐term elasticity vary between 0.6 and 1.1. We find that construction and government services are two non‐oil GDP components that are strongly associated with remittance outflows.
This paper provides an early assessment of the dynamics and drivers of remittances during the COVID-19 pandemic, using a newly compiled monthly remittance dataset for a sample of 52 countries, of which 16 countries with bilateral remittance data. The paper documents a strong resilience in remittance flows, notwithstanding an unprecedent global recession triggered by the pandemic. Using the local projection approach to estimate the impulse response functions of remittance flows during Jan 2020-Dec 2020, the paper provides evidence that: (i) remittances responded positively to COVID-19 infection rates in migrant home countries, underscoring its role as an important automatic stabilizer; (ii) stricter containment measures have the unintended consequence of dampening remittances; and (iii) a shift from informal to formal remittance channels due to travel restrictions appears to have also played a role in the surge in formal remittances. Lastly, the size of the fiscal stimulus in host countries is positively associated with remittances as the fiscal response cushions the economic impact of the pandemic.
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