korenmiklos / expat-dyadic

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Replication Package for: Foreign Managers Help Firms Access Foreign Markets

2022-02-16

This repository accompanies Koren, Orbán and Telegdy, 2022. "Foreign Managers Help Firms Access Foreign Markets." Working paper.

Authors

Data availability and provenance statements

Statement about rights

The author(s) of the manuscript have legitimate access to and permission to use the data used in this manuscript.

Summary of availability

Some data cannot be made publicly available.

Details on each data source

The paper uses the Hungarian Manager Database (CEU MicroData 2020a), Customs Statistics ()

  • Hungarian Manager Database (CEU MicroData 2020a) is produced from data published by Opten. To access the data for replication or other academic research, contact the data manager at CEU MicroData, András Vereckei (andras.vereckei@gmail.com). After verification of the data request, researchers have to sign a data agreement to get access to the data. The process takes about two weeks. There is no fee involved and you can access the data remotely.
  • Mérleg- és Eredménykimutatások (CEU MicroData 2020b) is produced from data published by Opten. To access the data for replication or other academic research, contact the data manager at CEU MicroData, András Vereckei (andras.vereckei@gmail.com). After verification of the data request, researchers have to sign a data agreement to get access to the data. The process takes about two weeks. There is no fee involved and you can access the data remotely.
  • Customs Statistics () is published by XXX and accessible on the premises of the Centre for Economics and Regional Studies in Budapest.

Description of programs/code

The entire data cleaning and analysis can be executed with make. See the Makefile in the root of the folder.

(Optional, but recommended) License for Code

The code is licensed under a MIT/BSD/GPL/Creative Commons license. See LICENSE.txt for details.

Computational requirements

Software requirements

  • Stata (code was last run with version 17)
    • here (can be installed with net install here, from("https://raw.githubusercontent.com/korenmiklos/here/master/"))
    • reghdfe (can be installed with ssc install reghdfe)
  • GNU Make

Memory and runtime requirements

Creating the data extract (temp/analysis_sample_dyadic.dta) takes about 15 minutes on a quad-core 3.8GHz machine with 8GB of memory. Each estimation runs in a few minutes.

Summary

Approximate time needed to reproduce the analyses on a standard (2020) desktop machine: 30 minutes.

List of tables and figures

The provided code reproduces:

  • All numbers provided in text in the paper
  • All tables and figures in the paper
  • Selected tables and figures in the paper, as explained and justified below.
Figure/Table # Program Line Number Output file Note
Table 1 02_analysis/table1.do summarystats.csv
Table 2 02_analysis/table2and3.do 15 table2.csv
Table 3 02_analysis/table2and3.do 145 table3.csv
Figure 1 n.a. (no data) Source: Herodus (2011)
Figure 2 02_analysis/fig2.do figure2.png
Figure 3 02_analysis/fig3.do figure-robustness.png Requires confidential data

References

  • Steven Ruggles, Steven M. Manson, Tracy A. Kugler, David A. Haynes II, David C. Van Riper, and Maryia Bakhtsiyarava. 2018. "IPUMS Terra: Integrated Data on Population and Environment: Version 2 [dataset]." Minneapolis, MN: Minnesota Population Center, IPUMS. https://doi.org/10.18128/D090.V2
  • Department of Elementary and Secondary Education (DESE), 2019. "Student outcomes database [dataset]" Massachusetts Department of Elementary and Secondary Education (DESE). Accessed January 15, 2019.
  • U.S. Bureau of Economic Analysis (BEA). 2016. “Table 30: "Economic Profile by County, 1969-2016.” (accessed Sept 1, 2017).
  • Inglehart, R., C. Haerpfer, A. Moreno, C. Welzel, K. Kizilova, J. Diez-Medrano, M. Lagos, P. Norris, E. Ponarin & B. Puranen et al. (eds.). 2014. World Values Survey: Round Six - Country-Pooled Datafile Version: http://www.worldvaluessurvey.org/WVSDocumentationWV6.jsp. Madrid: JD Systems Institute.

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Language:TeX 60.9%Language:Jupyter Notebook 25.6%Language:Stata 12.8%Language:Makefile 0.7%