Data and Code for Aid, China, and Growth: Evidence from a New Global Development Finance Dataset
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.
Tierney, Michael; Strange, Austin; Dreher, Axel; Fuchs, Andreas; Parks, Brad (2020), "Data and Code for Aid, China, and Growth: Evidence from a New Global Development Finance Dataset", ICPSR, doi: 10.3886/e118648v1