Data Preparation for Tax Microsimulation Model for India

This repository was established for the World-Bank-sponsored training sessions that began during September 2018 in New Delhi at the Tax Policy Research Unit (TPRU) in the Ministry of Finance. The training sessions extended through June 2019. This repository, which is called taxdata and is owned by the GitHub organizaton called TPRU-India, is now managed by TPRU.

The data files produced here are suitable for use in a tax microsimulation model for India, which is located in the taxcalc repository of the GitHub organizaton called TPRU-India.

Name		Name	Last commit message	Last commit date
Latest commit History 86 Commits
SAMPLE_ITR		SAMPLE_ITR
Bigdata.py		Bigdata.py
GST Rates India 2019-work.csv		GST Rates India 2019-work.csv
GST Rates India 2019-work.xlsx		GST Rates India 2019-work.xlsx
ITR6_2013_2015_PANEL_MERGE_SHORT_SAMPLE1.xlsx		ITR6_2013_2015_PANEL_MERGE_SHORT_SAMPLE1.xlsx
ITR6_2017_2013_BAL_PANEL_FINAL.xlsx		ITR6_2017_2013_BAL_PANEL_FINAL.xlsx
ITR6_2017_2013_PANEL_new.xlsx		ITR6_2017_2013_PANEL_new.xlsx
ITR6_2017_CROSS_SECTION_WB_TRNG_NEW.xlsx		ITR6_2017_CROSS_SECTION_WB_TRNG_NEW.xlsx
README.md		README.md
addconsup.py		addconsup.py
addincome.py		addincome.py
cit_cross.csv		cit_cross.csv
cit_cross_wgts.csv		cit_cross_wgts.csv
cit_panel.csv		cit_panel.csv
cit_panel_blowup.csv		cit_panel_blowup.csv
consumer_expend_summ_2011_short.csv		consumer_expend_summ_2011_short.csv
corp_cross_sample_prep.py		corp_cross_sample_prep.py
corp_panel_sample_prep.py		corp_panel_sample_prep.py
current_law_policy_pit_cit.json		current_law_policy_pit_cit.json
dataprep.py		dataprep.py
gitsync		gitsync
gitsync.bat		gitsync.bat
gst_data_prep.py		gst_data_prep.py
gst_weights.py		gst_weights.py
hh_characteristics_block3_level2_2011_short.csv		hh_characteristics_block3_level2_2011_short.csv
matchfiles.py		matchfiles.py
pit.csv		pit.csv
pit_weights.csv		pit_weights.csv
runmatch.py		runmatch.py
splithouseholds.py		splithouseholds.py
statmatch.py		statmatch.py
taxdata.py		taxdata.py
weights.py		weights.py
wtBigdata.py		wtBigdata.py

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