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.
Assistant professor: Austin Strange is an assistant professor of International Relations in the Department of Politics and Public Administration. He researches and teaches Chinese foreign policy, international political economy, and international development.
Austin’s first research agenda investigates contemporary China’s overseas development finance. With colleagues, he is currently writing a book for Cambridge University Press on this topic. A separate book project examines shifts in China’s approach to global development and China’s influence in developing countries since 1949. His second agenda examines the domestic sources of trade and diplomacy across Chinese history. His research employs observational datasets, survey experiments, interviews, and archival work.
In 2021 Austin is also a postdoctoral fellow with the Columbia-Harvard China and the World Program. He received a Ph.D. in Government from Harvard University, M.A. from Zhejiang University, and B.A. from the College of William & Mary.