Git Product home page Git Product logo

replication_daughters's Introduction

Replication code for Daughters and Divorce, Kabátek & Ribar (2021)

drawing

This replication package contains three sets of codes:

One for the principal analysis that draws on the data provided by Statistics Netherlands (STATNL), one for the LISS analysis, and one for the analysis that draws on CPS data.

All codes were written and executed in STATA 15.0, OS Windows 10.
All supplementary packages are provided with the code and they are stored in the subfolder 'auxiliary_scripts'. There is no need to install them.

To run the analyses, please execute the do-files stored in the respective folders (STATNL_DnD.do, LISS_DnD.do & CPS_DnD.do). To operationalize the code, please change the global MAIN_FOL macro to the directory which contains the respective do-files

The codes are commented and they contain additional information that should facilitate the replication efforts. Estimation results are stored in the designated subfolders '/XXX_DnD/results/XLS'.


1. Administrative data analysis (STATNL)

The STATNL analysis draws on proprietary data, which means that the datasets are not supplied in the replication package.

The package contains a synthetic dataset that illustrates the workings of the models. The dataset is generated from random data, which means that the resulting model estimates bear no meaningful information.

To execute the code with proprietary STATNL data, make sure that you have access to the following datasets:

  ADOPTIEKINDEREN                            
  BAANSOMMENTAB                              
  GBAHUISHOUDENSBUS                          
  GBAPERSOONTAB (x)                          
  GBAVERBINTENISPARTNERBUS (x)               
  HOOGSTEOPLTAB                              
  KINDOUDERTAB (x)                           

The datasets marked with (x) are essential. The other datasets add valuable information, however the code can be adjusted to run without them. Inquiries regarding the STATNL data access should be addressed to [email protected]

The runtime of the full STATNL analysis in the STATNL RA environment is approximately two weeks. Plan accordingly.
The runtime of the synthetic STATNL analysis is ~45 minutes.

The code produces estimates for the following figures and tables:

 Table 2  (line 269, STATNL_DnD.do, the output is stored in a designated  
           log file, TABLE_2_${VERSION}_sumstat.log )                     
 Table 3  (lines 494-714, STATNL_DnD.do, except for the last CPS row.     
           Estimates saved in TABLE_3_${VERSION}_het.xml)                 
 Figure 1 (line 462, STATNL_DnD.do, figure constructed manually from      
           estimates saved in Column 2, TABLE_A1_${VERSION}_main.xml)     
 Figure 2 (line 484, STATNL_DnD.do, figure constructed manually from      
           estimates saved in Column 3, TABLE_A1_${VERSION}_main.xml)     
 Figure 3 (line 732 STATNL_DnD.do, figure saved as FIGURE_3.png)          

 ---------------------------------                                        
 Table A1 (lines 462-484, STATNL_DnD.do)                                  
 Table A2 (lines 494-714, STATNL_DnD.do, estimates saved in rows 245-252  
           of TABLE_B1_${VERSION}_het.xml.)                               
 Table B1 (lines 494-714 and 756, STATNL_DnD.do, estimates saved in       
           TABLE_B1_${VERSION}_het.xml.)                                  
 Table B2 (lines 742-800, STATNL_DnD.do), estimates saved in              
           TABLE_B2_${VERSION}_het.xml.)                  

2. Dutch survey data analysis (LISS)

The LISS replication package contains three LISS data extracts (both in .dta and .csv formats, no downloads are necessary).

The LISS data extracts can be also constructed from raw LISS data (see file LISS_DnD.do for instructions)

The runtime of the LISS analysis is ~5 minutes.

The code produces estimates for the following tables:

 Table 4  (lines 572-720 LISS_DnD.do Estimates for parents are saved in   
           TABLES_4_AND_B3__parent.xml, rows 5 & 9. Estimates for teens   
           are saved in TABLES_4_AND_B3__teen.xml, row 6) FDR-adjusted    
           significance levels were calculated manually (for details, see 
           M. Anderson's 2008 JASA article ).                             
 ---------------------------------                                        
 Table A3 (lines 522-70 LISS_DnD.do. Frequencies are saved in             
           TABLE_A3__Liss_frequencies.xls)                                
 Table B3 (lines 572-720 LISS_DnD.do Estimates for parents are saved in   
           TABLES_4_AND_B3__parent.xml. Estimates for teens saved in      
           TABLES_4_AND_B3__teen.xml)                                     

3. US survey data analysis (CPS)

The CPS replication package contains the CPS-MFS data (both in .dta and csv formats, no downloads are necessary.

The runtime for the CPS analysis is ~10 minutes

The code produces estimates for the following tables:

 Table 3  (line 143 CPS_DnD.do, the last CPS row. Estimates saved in      
           TABLE_3__last_row.xml)                                         
 ---------------------------------                                        
 Table A4 (lines 139-43 CPS_DnD.do, estimates saved in TABLE_A4_CPS.xml)  

replication_daughters's People

Contributors

jankabatek avatar

Watchers

 avatar

Forkers

yifankang

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.