Data and Code for: The Extensive Margin of Exporting Products: A Firm-level Analysis

Principal Investigator(s):  View help for Principal Investigator(s) Costas Arkolakis, Yale University; Sharat Ganapati, Georgetown University; Marc A. Muendler, UC San Diego

Version:  View help for Version V1

Name File Type Size Last Modified
  Data 04/14/2020 03:03:PM
  Matlab 09/30/2021 01:38:PM
  Output 04/14/2020 03:05:PM
  Prep 04/14/2020 03:05:PM
  Results 04/14/2020 04:17:PM
  Shell 04/22/2020 09:48:AM
  Stata 04/14/2020 04:18:PM
CHANGELOG.txt text/plain 446 bytes 09/30/2021 09:47:AM
File Manifest.txt text/plain 988 KB 09/30/2021 11:46:AM
Master_Script.m text/x-matlab 5.3 KB 04/14/2020 11:03:AM

Project Citation: 

Arkolakis, Costas, Ganapati, Sharat, and Muendler, Marc A. Data and Code for: The Extensive Margin of Exporting Products: A Firm-level Analysis. Nashville, TN: American Economic Association [publisher], 2021. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2021-10-01. https://doi.org/10.3886/E118302V1

Project Description

Summary:  View help for Summary Abstract:

To quantify trade frictions, we examine multi-product exporters. We build a flexible general- equilibrium model and estimate market entry costs using Brazilian firm-product-destination data under rich demand and market-access cost shocks. Our estimates show that additional products farther from a firm’s core competency come at higher production costs, but there are substantive economies of scope in market-access costs. Market-access costs differ across destinations, falling more rapidly in nearby regions and at destinations with fewer non-tariff barriers. We evaluate a counterfactual scenario that harmonizes market-access costs across destinations and find global welfare gains similar to eliminating all current tariffs.


Scope of Project

Subject Terms:  View help for Subject Terms international trade; heterogeneous firms; firms; Brazil; multi-product firms; non-tariff barriers; gains from trade
JEL Classification:  View help for JEL Classification
      F12 Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
      F14 Empirical Studies of Trade
      L11 Production, Pricing, and Market Structure; Size Distribution of Firms
Geographic Coverage:  View help for Geographic Coverage Brazil
Time Period(s):  View help for Time Period(s) 2000 – 2000 (2000)
Collection Date(s):  View help for Collection Date(s) 2012 – 2012 (2012)
Universe:  View help for Universe All Brazilian Manufacturing Exporters
Data Type(s):  View help for Data Type(s) administrative records data
Collection Notes:  View help for Collection Notes The paper uses confidential employer-employee data from RAIS, Brazil. We were given access to these data under the agreement that they could not be made publicly available.  Raw data access is available at IPEA Brasilia and IBGE Rio de Janeiro. We will make available our code and hold the final estimation data ready for replication purposes.

Methodology

Response Rate:  View help for Response Rate Administrative data collected by customs authorities. 
Data Source:  View help for Data Source 
SECEX (the Brazilian Secretariat of Foreign Trade)
Unit(s) of Observation:  View help for Unit(s) of Observation Exporter-Destination-Product
Geographic Unit:  View help for Geographic Unit Brazil

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V1 [2021-10-01]

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