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: 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: international trade; heterogeneous firms; firms; Brazil; multi-product firms; non-tariff barriers; gains from trade

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: Brazil

Time Period(s): 2000 – 2000 (2000)

Collection Date(s): 2012 – 2012 (2012)

Universe: All Brazilian Manufacturing Exporters

Data Type(s): administrative records data

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: Administrative data collected by customs authorities.

Data Source:

SECEX (the Brazilian Secretariat of Foreign Trade)

Unit(s) of Observation: Exporter-Destination-Product

Geographic Unit: Brazil

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Published Versions

V1 [2021-10-01]

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