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1. The COVID-19 Curtain: Can Past Communist Regimes Explain the Vaccination Divide in Europe

Author:
Inés Berniell, Yarine Fawaz, Anne Laferrere, Pedro Mira, and Elizaveta Pronkina
Publication Date:
11-2021
Content Type:
Working Paper
Institution:
Center for Distributive, Labor and Social Studies (CEDLAS)
Abstract:
As of November 2021, all former Communist countries from Central and Eastern Europe exhibit lower vaccination rates than Western European countries. Can institutional inheritance explain, at least in part, this heterogeneity in vaccination decisions across Europe? To study this question we exploit novel data from the second wave of the SHARE (Survey of Health, Ageing, and Retirement in Europe) Covid-19 Survey fielded in Summer 2021 that covers 27 European countries and Israel. First, we document lower Covid-19 vaccine take-up amongst individuals above 55 years old who were born under Communism in Europe. Next, we turn to reunified Germany to get closer to a causal effect of exposure to Iron curtain regimes. We find that exposure to the Communist regime in East Germany decreases one’s probability to get vaccinated against Covid-19 by 8 percentage points, increases that of not wanting the vaccine by 4 percentage points. Both effects are quite large and statistically significant, and they hold when controlling for individual socio-economic and demographic characteristics. We identify low social capital -measured as voluntary work, political engagement, trust in people- as a plausible channel through which past Communist regimes would still affect individuals’ preferences for Covid-19 vaccination.
Topic:
Communism, Public Health, Vaccine, and COVID-19
Political Geography:
Europe and Post-Soviet Europe

2. COVID-19 Lockdown and Domestic Violence: Evidence from Internet-Search Behavior in 11 Countries

Author:
Inés Berniell and Giovanni Facchini
Publication Date:
12-2020
Content Type:
Working Paper
Institution:
Center for Distributive, Labor and Social Studies (CEDLAS)
Abstract:
We study the impact of the COVID-19 pandemic on domestic violence in 11 countries with different ex-ante incidence of domestic violence (DV) and lockdown intensity. We use a novel measure of DV incidents that allows us to make cross-country com- parisons: a Google search intensity index of DV-related topics. Our difference-in- difference estimates show an increase in DV search intensity after lockdown (31%), with larger effects as more people stayed at home (measured with Google Mobil- ity Data). The peak of the increase in DV appears, on average, 7 weeks after the introduction of the lockdown. While we observe that the positive impacts on DV is a widespread phenomenon, the effect in developed countries is more than twice as strong as in Latin American countries. We show that the difference in impact correlates with the
Topic:
Public Health, Pandemic, COVID-19, and Domestic Violence
Political Geography:
Global Focus