Codes for the article "The impact of information laws on consumer credit access: evidence from Chile"
Description
This link has a README file with the brief description of all codes used in the empirical analysis of the article and its appendix. The article is in R&R status for the Latin American Journal of Central Banking. A preprint is available from the Central Bank of Chile WP series (DTBC): https://ideas.repec.org/p/chb/bcchwp/873.html . It includes a total of 27 Stata do files. Data analysis was performed in a standard notebook with an Intel Core i7-4700HQ 2.40GHz processor with 16.0 GB of RAM and a Stata 15.1 MP-6 license.
Files
Steps to reproduce
The code "M_analysis_debtors_EFH.do" is the main file. It calls all the other files sequentially to implement all the analysis of the article. “Impact_graph.do” creates Figure 1 in the paper. “Debt_motivations_InfoLaws.do” creates Table 1, Table 2 and Table 3 in the paper. "AC_counterfactual_A.do" creates Figure 2 in the article and Figure 1 in the appendix. "DPW_stats.do" and "DPWy_stats.do" create Table 9. "analysis_default_unemp_Aall.do" Tables 5, 6, 7 and 8 in the article. It also creates the random effect column estimates for Tables A.5, A.6 and A.7 in the appendix. "analysis_default_unemp_A.do" creates Tables A.1, A.2, A.3 and A.4 in the appendix. It also creates the column estimates without random effects for Tables A.5, A.6 and A.7 in the appendix.