This article employs gravity modeling to examine the effect of COVID-19 on global and intra-Commonwealth trade. It uses bilateral monthly exports, number of COVID-19 cases and deaths and the stringency of measures. The main novelty is the use of price indices as proxies for multilateral resistance terms, which allow us to identify, supply, and demand effects of COVID-19 on bilateral trade. The incidence of COVID-19 impacts Commonwealth trade flows, the effect varies with the development level. High numbers of COVID-19 cases, including deaths, in low-income importers reduced Commonwealth exports unlike high-income importers that show higher exports. The incidence of COVID in an exporters' neighbouring countries impacted trade and restrictions in high-income countries increased Commonwealth trade. Short-term trends project a negative change in both exports and imports of Commonwealth countries.

This article investigates the relationship between immigration and the exposure of native workers to health and labor-market risks arising from the COVID-19 pandemic in Europe. Using various measures of occupational risks based on European Union labor force survey data, we find that immigrant workers, especially those from lower-income member countries in Eastern Europe or from outside the EU, face greater exposure than their native-born peers to both income and health-shocks related to COVID-19. We also show that native workers living in regions with a higher concentration of immigrants are less exposed to some of the income and health risks associated with the pandemic. To assess whether this relationship is causal, we use a Bartik-type shift-share instrument to control for potential bias and unobservable factors that would lead migrants to self-select into more vulnerable occupations across regions. The results show that the presence of immigrant workers has a causal effect in reducing the exposure of native workers to various risks by enabling the native-born workers to move into jobs that could be undertaken from the safety of their homes or with lower face-to-face interactions. The effects on the native-born population are more pronounced for high-skilled workers than for low-skilled workers, and for women than for men. We do not find significant effect of immigration on wages and employment-indicating that the effects are mostly driven by a reallocation of natives from less safe jobs to safer jobs.

We study emerging markets' 1980s lost growth decade, triggered by the massive reversal of the snowball effect in the US during 1974-1984, finding that higher flow costs of servicing debt overhang explain the dramatic decline in growth rates of exposed emerging markets. We also show how lowering the US cost of servicing its public debt has been associated with higher US, Japan, and Western Europe real output growth rates during the post WWII recovery decades, 1946-1956, and validate that fiscal adjustments of large countries have strong growth and volatility spillovers effects on exposed emerging markets and developing countries.

The slowdown of economy and widening of domestic imbalances in China bothers economists and politicians across the globe. We estimate the influence of a negative output shock in China on a number of different economies. We concentrate on China's neighboring countries. We compare the results from the Global VAR model and from the Bayesian VAR models. Also using Bayesian model averaging we search for determinants of Chinese spillovers for the global economy. We find that spillovers are stronger to economies with less flexible exchange rates, a higher share of manufacturing in gross value added and to economies which are larger.

We study how the health insurance coverage of Mexican immigrants changes with time in the U.S. Cross sectional estimates indicate that time since arrival is negatively correlated with the probability of being uninsured for both male and female Mexican immigrants, and about a third of the decline could be attributed to civic and labor market incorporation of Mexican immigrants. However, much of the relationship between time in the U.S. and health insurance coverage, after adjusting for demographic and labor market factors, is due to failure to control for age at arrival and period of arrival. Estimates from longitudinal analyses suggest that there is no systematic relationship between time in the U.S. and health insurance of Mexican immigrants, although imprecision in the fixed effects estimates makes it difficult to draw firm conclusions.