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Data and Code for Aid, China, and Growth: Evidence from a New Global Development Finance Dataset

Principal Investigator(s):  View help for Principal Investigator(s) Axel Dreher, Heidelberg University; Andreas Fuchs, University of Goettingen; Brad Parks, College of William & Mary; Austin Strange, Harvard University; Michael Tierney, College of William & Mary

Version:  View help for Version V1

Name File Type Size Last Modified
AEJ Ec Policy Replication.do text/x-stata-syntax 250.4 KB 04/02/2020 12:11:PM
AEJ2020 B17.dta application/x-stata 280.3 KB 04/01/2020 09:37:AM
AEJ2020 allocation.dta application/x-stata 1012.9 KB 04/02/2020 01:10:AM
AEJ2020 effectiveness.dta application/x-stata 17.6 MB 04/01/2020 09:37:AM
Dreher et al. AEJ readme.pdf application/pdf 9.7 KB 04/02/2020 12:12:PM
map_1yw_merge.dta application/x-stata 66.1 KB 04/01/2020 11:11:PM
test_instruments2.dta application/x-stata 14.1 KB 04/01/2020 05:25:AM
work2_dataset_CDF.dta application/x-stata 20 MB 04/01/2020 05:28:AM
work2_dataset_CDFt.dta application/x-stata 22.8 MB 03/24/2020 04:59:AM
worldcoord.dta application/x-stata 4.1 MB 03/24/2020 04:42:AM

Project Citation: 

Dreher, Axel, Fuchs, Andreas, Parks, Brad, Strange, Austin, and Tierney, Michael. Data and Code for Aid, China, and Growth: Evidence from a New Global Development Finance Dataset. Nashville, TN: American Economic Association [publisher], 2020. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2020-04-02. https://doi.org/10.3886/E118648V1

Project Description

Summary:  View help for Summary
Aid, China, and Growth: Evidence from a New Global Development Finance Dataset, Dreher, Axel, Andreas Fuchs, Bradley C. Parks, Austin Strange, and Michael J. Tierney, American Economic Journal: Economic Policy.

AEA Data and Code Repository project ID: openicpsr-118648

The replication material consists of one stata do file (“AEJ Ec Policy Replication.do”) and eight dta-files. Analyses have been performed with Stata version 14.0. Running the do file will create a new folder (“Tables”) in your working directory, where all output will be stored.

AEJ2020 allocation.dta is required to run the regressions for Tables 1 and 2: Allocation of Chinese official financing (OLS, 2000-2014).

AEJ2020 effectiveness.dta is required to run the main aid effectiveness regressions, starting with Table 3: Growth effects of Chinese official financing, baseline results (2002-2016).

map_1yw_merge.dta and worldcoord.dta are required to produce Figure 1 (“World Maps”).

test_instruments2.dta contains the input materials used for Figure 2: Parallel Trend Assumption.

work2_dataset_CDFt.dta is required for the graph in Appendix B1 (“Proportion of Chinese OF projects by status”).

AEJ2020 B17.dta is required to run the regressions for Appendix B17: Project-level analysis of missing values and socio-economic characteristics.

work2_dataset_CDF.dta is required for the other graphs in Appendix B.




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Published Versions

V2 [2021-03-10]

V1 [2020-04-02]

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