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The Impact of Non‐tariff Barriers on Trade and Welfare
In: Economica, Band 90, Heft 357, S. 140-177
ISSN: 1468-0335
Deep trade agreements (DTAs) are widespread and have taken the world beyond tariff liberalization in goods trade. As the importance of global supply chains and the services sector has increased across the world, shallow tariff reductions have given way to deeper commitments that address non‐tariff barriers and behind‐the‐border barriers to trade. This paper shows that DTA commitments undertaken since the Uruguay Round have increased trade in goods and trade in services by over half in the long term. Taking reduced‐form trade elasticity estimates to a general equilibrium quantitative model, DTAs contributed over 40% to the welfare gains from trade globally and even more for advanced economies. China, India and the Eastern European bloc benefited the most from trade agreements. While most of the gains in China and India came from tariff reductions, the gains to Eastern Europe came largely from deep commitments during its accession to the EU. Applying the DTA estimates to ex ante analysis of Brexit, the losses to the UK from its departure from the deepest trade agreement in the world would not be offset by new deep trade deals with key non‐EU trade partners.
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Firm Heterogeneity and Imperfect Competition in Global Production Networks
In: CESifo Working Paper No. 11302
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Pandemics, Global Supply Chains, and Local Labor Demand: Evidence from 100 Million Posted Jobs in China
In: PIER Working Paper No. 20-035
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Working paper
Pandemics, Global Supply Chains, and Local Labor Demand: Evidence from 100 Million Posted Jobs in China
In: ShanghaiTech SEM Working Paper No. 2020-011
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Working paper
Pandemics, Global Supply Chains, and Local Labor Demand: Evidence from 100 Million Posted Jobs in China
In: NBER Working Paper No. w28072
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Working paper
Impact of vaccination on the COVID-19 pandemic in U.S. states
Governments worldwide are implementing mass vaccination programs in an effort to end the novel coronavirus (COVID-19) pandemic. Here, we evaluated the effectiveness of the COVID-19 vaccination program in its early stage and predicted the path to herd immunity in the U.S. By early March 2021, we estimated that vaccination reduced the total number of new cases by 4.4 million (from 33.0 to 28.6 million), prevented approximately 0.12 million hospitalizations (from 0.89 to 0.78 million), and decreased the population infection rate by 1.34 percentage points (from 10.10 to 8.76%). We built a Susceptible-Infected-Recovered (SIR) model with vaccination to predict herd immunity, following the trends from the early-stage vaccination program. Herd immunity could be achieved earlier with a faster vaccination pace, lower vaccine hesitancy, and higher vaccine effectiveness. The Delta variant has substantially postponed the predicted herd immunity date, through a combination of reduced vaccine effectiveness, lowered recovery rate, and increased infection and death rates. These findings improve our understanding of the COVID-19 vaccination and can inform future public health policies.
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Endogenous Mobility in Pandemics: Theory and Evidence from the United States
In: PBCSF-NIFR Research Paper Forthcoming
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Working from Home and Firm Resilience to the COVID-19 Pandemic
In: Journal of Operations Management, Forthcoming
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Impact of vaccination on the COVID-19 pandemic in U.S. states
Governments worldwide are implementing mass vaccination programs in an effort to end the novel coronavirus (COVID-19) pandemic. Here, we evaluated the effectiveness of the COVID-19 vaccination program in its early stage and predicted the path to herd immunity in the U.S. By early March 2021, we estimated that vaccination reduced the total number of new cases by 4.4 million (from 33.0 to 28.6 million), prevented approximately 0.12 million hospitalizations (from 0.89 to 0.78 million), and decreased the population infection rate by 1.34 percentage points (from 10.10 to 8.76%). We built a Susceptible-Infected-Recovered (SIR) model with vaccination to predict herd immunity, following the trends from the early-stage vaccination program. Herd immunity could be achieved earlier with a faster vaccination pace, lower vaccine hesitancy, and higher vaccine effectiveness. The Delta variant has substantially postponed the predicted herd immunity date, through a combination of reduced vaccine effectiveness, lowered recovery rate, and increased infection and death rates. These findings improve our understanding of the COVID-19 vaccination and can inform future public health policies.
BASE
The costs and benefits of leaving the EU: trade effects
In: Economic policy, Band 32, Heft 92, S. 651-705
ISSN: 1468-0327
The costs and benefits of leaving the EU: trade effects
This paper estimates the welfare effects of Brexit in the medium to long run, focusing on trade and fiscal transfers. We use a standard quantitative general equilibrium trade model with many countries and sectors and trade in intermediates. We simulate a range of counterfactuals reflecting alternative options for European Union (EU)–United Kingdom (UK) relations following Brexit. Welfare losses for the average UK household are 1.3% if the UK remains in the EU's Single Market like Norway (a 'soft Brexit'). Losses rise to 2.7% if the UK trades with the EU under World Trade Organization rules (a 'hard Brexit'). A reduced-form approach that captures the dynamic effects of Brexit on productivity more than triples these losses and implies a decline in average income per capita of between 6.3% and 9.4%, partly via falls in foreign investment. The negative effects of Brexit are widely shared across the entire income distribution and are unlikely to be offset from new trade deals.
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