Reproducibility package for The Intensive Margin in Trade: How Big and How Important?
2023
Overview
In benchmark trade models that feature a constant trade elasticity, bilateral exports vary entirely on the intensive margin (exports per firm) or entirely on the extensive margin (number of firms). Our empirical analysis documents that roughly one-half of this variation occurs along each margin, implying that the trade elasticity is not constant. We estimate a generalized Melitz model with a joint lognormal distribution for firm productivity, fixed costs, and demand shifters. Using exact-hat algebra, we quantify how trade costs affect trade flows and welfare. Welfare effects are similar to those in the Melitz-Pareto model, but implied trade flows differ significantly.
Reproducibility Package
| Repository name | URI |
|---|---|
| AEA Data and Code Repository | https://www.openicpsr.org/openicpsr/project/168221/version/V1/view |
Reproducibility
Paper exhibits produced with Stata code were attempted to be reproduced in a computer with the following specifications.
• OS: Microsoft Windows 10 Version 21H2
• Processor: Intel(R) Xeon(R) CPU E7-4890 v2 @ 2.80GHz, 2800 Mhz,
2 Core(s), 2 Logical Processor(s)
• Memory available: 15.8 GB
• Software version: Stata 17
Paper exhibits produced with Matlab code were attempted to be reproduced in a computer with the following specifications.
• OS: Microsoft Windows 10 Enterprise
• Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 2900
Mhz, 4 Core(s), 4 Logical Processor(s)
• Memory available: 32 GB
• Software version: Matlab 2023a
Click on the provided link to access the external package. This package includes a README file, which you should refer to for detailed instructions on how to replicate these results.
Data
Certain datasets utilized in this study are subject to restrictions and cannot be fully disclosed to the public. The Exporter Dynamics Database (EDD) for the extended sample, with the exception of China, is accessible through the Microdata Library. However, the EDD indicators for China are derived from confidential firm-level customs data and are therefore not publicly available.
The firm-level EDD data for the core sample is also restricted and generally not accessible to external researchers, with the exception of data from 10 specific countries: Albania, Bulgaria, Burkina Faso, Guatemala, Jordan, Malawi, Mexico, Peru, Uruguay, and Yemen. It should be noted that the data for these countries covers a shorter timeframe than that analyzed in the study. For detailed instructions on how to request access to the data and further information on data coverage, replicators are advised to refer to the README file included in the (external) reproducibility package.
Description
| Author | Affiliation | |
|---|---|---|
| Ana M. Fernandes | World Bank | afernandes@worldbank.org |
| Peter J. Klenow | Stanford and NBER | klenow@stanford.edu |
| Sergii Meleshchuk | IMF | smeleshchuk@imf.org |
| Martha Denisse Pierola | Inter- American Development Bank | mpierola@iadb.org |
| Andrés Rodríguez- Clare | University of California, Berkeley and NBER | arc@berkeley.edu |
2023-12
Scope and coverage
| Location | Code |
|---|---|
| World | WLD |
Disclaimer
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/the World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
Access and rights
| Name | URI |
|---|---|
| Creative Commons Attribution 4.0 International (CC BY 4.0) License | https://creativecommons.org/licenses/by/4.0/ |
Contacts
| Name | Affiliation | |
|---|---|---|
| Ana M. Fernandes | World Bank | afernandes@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
Information on metadata
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reyes Retana | MRR | World Bank | Junior Data Scientist |
2023-12-21
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