Replication data for: International Trade with Indirect Additivity
Principal Investigator(s): View help for Principal Investigator(s) Paolo Bertoletti; Federico Etro; Ina Simonovska
Version: View help for Version V1
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data_code_international_trade_with_indirect_additivity | 10/26/2021 08:48:AM | ||
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Project Citation:
Bertoletti, Paolo, Etro, Federico, and Simonovska, Ina. Replication data for: International Trade with Indirect Additivity. Nashville, TN: American Economic Association [publisher], 2018. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-10-12. https://doi.org/10.3886/E114364V1
Project Description
Summary:
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We develop a general equilibrium model of trade that features "indirectly additive" preferences and heterogeneous firms. Monopolistic competition generates markups that are increasing in firm productivity and in destination country per capita income, but independent from destination population, as documented empirically. The gains from trade liberalization are lower than in models based on CES preferences, and the difference is governed by the average pass-through. When we calibrate the model so as to match observed pricing-to-market in micro-data, it generates welfare gains that are substantially lower than those predicted by commonly employed frameworks.
Scope of Project
Subject Terms:
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Aggregate international trade and macroeconomic data
JEL Classification:
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D24 Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
D43 Market Structure, Pricing, and Design: Oligopoly and Other Forms of Market Imperfection
F12 Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
L13 Oligopoly and Other Imperfect Markets
D24 Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
D43 Market Structure, Pricing, and Design: Oligopoly and Other Forms of Market Imperfection
F12 Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
L13 Oligopoly and Other Imperfect Markets
Geographic Coverage:
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World
Time Period(s):
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2004 – 2004
Universe:
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Manufacturing establishments in 123 countries
Data Type(s):
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aggregate data
Methodology
Data Source:
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World Development Indicators, Penn World Tables 8.0, CEPII, UNIDO, UN Comtrade
Unit(s) of Observation:
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Country and year,
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