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Early non-pharmaceutical interventions (NPI) significantly reduced the death toll of the COVID-19 pandemic. Yet, there are vast differences in how quickly governments implemented NPIs. In this paper, we analyze the role of public attention, measured as the share of daily Google searches in a country related to COVID-19, in the timing of the NPI responses. We first show that public attention depends strongly on whether there are cases in own country. We then show that countries with high levels of public attention are more likely to implement NPIs, even after controlling for the number of cases and deaths. Finally, we show that the extent to which a government responds to public attention is highly dependent on the country's institutional quality. The positive effect of public attention on policy implementation is driven entirely by countries with good institutions.

Early non-pharmaceutical interventions (NPI) significantly reduced the death toll of the Covid-19 pandemic. Yet, there are vast differences in how quickly governments implemented NPIs. In this paper, we analyze the role of public attention, measured as the share of daily Google searches in a country related to Covid-19, in the timing of the NPI responses. We first show that public attention depends strongly on whether there are cases in own country. We then show that countries with high levels of public attention are more likely to implement non-pharmaceutical interventions, even after controlling for the number of cases and deaths. Finally, we show that the extent to which a government responds to public attention is highly dependent on the country's institutional quality. The positive effect of public attention on policy implementation is driven entirely by countries with good institutions.

While the COVID-19 pandemic is affecting all countries, output losses vary considerably across countries. We provide a first analysis of robust determinants of the observed initial output losses using model-averaging techniques-Weighted Average Least Squares and Bayesian Model Averaging. The results suggest that countries that experienced larger output losses are those with lower GDP per capita, more stringent containment measures, higher deaths per capita, higher tourism dependence, more liberalized financial markets, higher pre-crisis growth, lower fiscal stimulus, higher ethnic and religious fractionalization, and more democratic regimes. With respect to the first factor, lower resilience of poorer countries reflects the higher economic costs of containment measures and deaths in such countries and less effective fiscal and monetary policy stimulus.