The virus that devastated tourism: The impact of covid-19 on the housing market.

We study the causal impact of the negative shock on short-term rentals caused by covid-19 in the tourist-intensive city centre of Lisbon. Our difference-in-differences strategy uses a parish-level treatment relying on the pre-pandemic intensity of short-term rentals, using data between Q3 2018 and Q3 2020. The results suggest that landlords relocated properties into the long-term rental market, in which prices de-crease 4.1%, while listed quantities increase 20% in the treated civil parishes vis-`a-vis comparison ones. We also find evidence of an incremental negative impact on sale prices of 4.8% in treated areas. Our results are robust to the inclusion of Porto.

Regional and sectorial impacts of the Covid-19 crisis: Evidence from electronic payments.

We use novel and comprehensive monthly data on electronic payments, by municipality and sector, together with cash withdrawals, to study the impact of Covid-19 in Portugal. Our difference-in-differences event study identifies a causal decrease of 17 and 40 percentage points on the year-on-year growth rate of overall purchases in March and April 2020. We document a stronger impact of the crisis in more central and more urban municipalities, due to a combination of the sectorial composition effect of the local economy and the sharper confinement behavioral effect in these locations. We discuss the importance of tourism for the results.

Brown sugar, how come you taste so good? The impact of a soda tax on prices and consumption.

Increasing obesity-related problems and rising healthcare expenditures have led governments in developed countries to consider the introduction of soda taxes. We study a recent such tax, implemented in Portugal in February 2017 -one of the first soda taxes worldwide that increases with sugar content (0.08 euros per liter for drinks with less than 80 g of sugar per liter, and 0.16 euros per liter for drinks with 80 g or more sugar per liter, plus VAT). We use extremely detailed panel data from one of the two largest retailers in the country, covering the period between February 2015 and January 2018. We take advantage of the tax breakdown by sugar levels to examine how soda prices and quantities purchased reacted. For identification, we rely on difference-in-differences models with various vectors of fixed effects, comparing each group of products to water. For drinks with more than 80 g of sugar per liter, results indicate almost full price pass-through to the consumer. For drinks with less than 80 g of sugar per liter, price pass-through surpassed 100%. Regarding consumption, our findings suggest stockpiling behavior in the quarter when the tax was approved and before it was actually implemented. In the implementation period, there are no significant changes in quantities purchased for most beverages vis-à-vis water, with the exception of soda drinks with comparatively low levels of sugar. This suggests that benefits of the soda tax in terms of reducing sugar intake are mainly due to reformulation, as producers reduced the sugar content of some drinks to fall below the 80 g per liter threshold.