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

Resource Type
  • Dreher, Axel (Heidelberg University)
  • Fuchs, Andreas (University of Goettingen)
  • Parks, Brad (College of William & Mary)
  • Strange, Austin (Harvard University)
  • Tierney, Michael (College of William & Mary)
Publication Date
  • Abstract

    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”) 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.

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2020-04-02