Data and Code for Aid, China, and Growth: Evidence from a New Global Development Finance Dataset Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.3886/e118648v1
· OA: W3128799174
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.<br>AEA Data and Code Repository project ID: openicpsr-118648<br><br>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.<br>AEJ2020 allocation.dta is required to run the regressions for Tables 1 and 2: Allocation of Chinese official financing (OLS, 2000-2014).<br>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).<br>map_1yw_merge.dta and worldcoord.dta are required to produce Figure 1 (“World Maps”).<br>test_instruments2.dta contains the input materials used for Figure 2: Parallel Trend Assumption.<br>work2_dataset_CDFt.dta is required for the graph in Appendix B1 (“Proportion of Chinese OF projects by status”).<br>AEJ2020 B17.dta is required to run the regressions for Appendix B17: Project-level analysis of missing values and socio-economic characteristics.<br>work2_dataset_CDF.dta is required for the other graphs in Appendix B.<br>
