{"type":"script","doc_desc":{"producers":[{"name":"Reyes Retana","abbr":"MRR","affiliation":"World Bank","role":"Junior Data Scientist"}],"prod_date":"2023-12-21","version":"1"},"project_desc":{"authoring_entity":[{"name":"Ana M. Fernandes","email":"afernandes@worldbank.org","affiliation":"World Bank"},{"name":"Peter J. Klenow","affiliation":"Stanford and NBER","email":"klenow@stanford.edu"},{"name":"Sergii Meleshchuk","affiliation":"IMF","email":"smeleshchuk@imf.org"},{"name":"Martha Denisse Pierola","affiliation":"Inter- American Development Bank","email":"mpierola@iadb.org"},{"name":"Andr\u00e9s Rodr\u00edguez- Clare","affiliation":"University of California, Berkeley and NBER","email":"arc@berkeley.edu"}],"output":[{"type":"Published Paper","title":"The Intensive Margin in Trade: How Big and How Important?","authors":"Ana M. Fernandes, Peter J. Klenow, Sergii Meleshchuk, Martha Denisse Pierola, and Andr\u00e9s Rodr\u00edguez- Clare","uri":"https:\/\/www.aeaweb.org\/articles?id=10.1257\/mac.20200269","doi":" https:\/\/doi.org\/10.1257\/mac.20200269"}],"software":[{"name":"Stata","version":"17"},{"name":"Matlab","version":"2023a"}],"scripts":[{"title":"Reproducibility package (data and code) for The Intensive Margin in Trade: How Big and How Important?","instructions":"See README in the (external) reproducibility package.","notes":"The reproducibility package is hosted externally at the journal. "}],"title_statement":{"idno":"PP_WLD_2023_68-v01","title":"Reproducibility package for The Intensive Margin in Trade: How Big and How Important?","identifiers":[{"type":"DOI","identifier":"https:\/\/doi.org\/10.3886\/E168221V1"}]},"acknowledgment_statement":"We are grateful to Arnaud Costinot, Caroline Freund, Cecile Gaubert, Keith Head, Sam Kortum, Thierry Mayer, Eduardo Morales, and Jesse Perla for useful discussions; to seminar participants at various institutions; and to Matthias Hoelzlein and Nick Sander for outstanding research assistance. The World Bank provided access to the Exporter Dynamics Database. Research for this paper has been supported in part by the World Bank\u2019s Multidonor Trust Fund for Trade and Development and the Strategic Research Program on Economic Development, as well as by the Stanford Institute for Economic Policy Research. The findings expressed in this paper are those of the authors and do not necessarily represent the views of the World Bank or its member countries. The views expressed herein are those of the authors and should not be attributed to the IMF, its Executive Board, or its management.","production_date":"2023-12","abstract":"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.","geographic_units":[{"name":"World","code":"WLD","type":"Region"}],"topics":[{"name":"Firm Behavior: Empirical Analysis","id":"D22","parent_id":"D2","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"},{"id":"D24","name":"Production \u2022 Cost \u2022 Capital \u2022 Capital, Total Factor, and Multifactor Productivity \u2022 Capacity","parent_id":"D2","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"},{"name":"Oligopoly and Other Forms of Market Imperfection","id":"D43","parent_id":"D4","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"},{"id":"F12","name":"Models of Trade with Imperfect Competition and Scale Economies \u2022 Fragmentation","parent_id":"F1","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"},{"name":"Empirical Studies of Trade","id":"F14","parent_id":"F1","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"},{"name":"Oligopoly and Other Imperfect Markets","id":"L13","parent_id":"L1","vocabulary":"Journal of Economic Literature (JEL)","uri":"https:\/\/www.aeaweb.org\/econlit\/jelCodes.php?view=jel"}],"language":[{"name":"English","code":"EN"}],"data_statement":"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.\nThe 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.","repository_uri":[{"name":"AEA Data and Code Repository","uri":"https:\/\/www.openicpsr.org\/openicpsr\/project\/168221\/version\/V1\/view"}],"technology_environment":"Paper exhibits produced with Stata code were attempted to be reproduced in a computer with the following specifications.\n\u2022 OS: Microsoft Windows 10 Version 21H2\n\u2022 Processor: Intel(R) Xeon(R) CPU E7-4890 v2 @ 2.80GHz, 2800 Mhz,\n2 Core(s), 2 Logical Processor(s)\n\u2022 Memory available: 15.8 GB\n\u2022 Software version: Stata 17\nPaper exhibits produced with Matlab code were attempted to be reproduced in a computer with the following specifications.\n\u2022 OS: Microsoft Windows 10 Enterprise\n\u2022 Processor: Intel(R) Xeon(R) Gold 6226R CPU @ 2.90GHz, 2900\nMhz, 4 Core(s), 4 Logical Processor(s)\n\u2022 Memory available: 32 GB\n\u2022 Software version: Matlab 2023a","reproduction_instructions":"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.","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.","license":[{"name":"Creative Commons Attribution 4.0 International (CC BY 4.0) License","uri":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"contacts":[{"name":"Ana M. Fernandes","affiliation":"World Bank","email":"afernandes@worldbank.org"},{"name":"Reproducibility WBG","affiliation":"World Bank","email":"reproducibility@worldbank.org"}],"datasets":[{"name":"Exporter Dynamics Database","note":"Following datasets are being used from this database:\n1. CYD.dta\n2. CYH2D.dta\n3. CYD_1000usd.dta\n4. CYD_China.dta\n5. CYH2D_China.dta\n6. CYD_China_1000usd.dta\n7. hs2_alldest.dta\n8. hs4_alldest.dta\n9. hs6_alldest.dta\n\nSource: World Bank - Exporter Dynamics Database","uri":"https:\/\/microdata.worldbank.org\/index.php\/catalog\/2545","access_type":"Published with (external) package"}]},"tags":[{"tag":"DOI"}],"schematype":"script"}