Replication Package for 

"Regional Divergence and House Prices"
by Greg Howard and Jack Liebersohn

Review of Economic Dynamics

In this package, you will find the files and data that are required to reproduce 
the figures and tables in the paper, including the appendix.

To replicate the entire package, run the master.do using Stata, with the current 
directory being set to this folder. 


The code was run in Stata/SE 17.0 using a Windows 10 desktop computer with 16 GB of RAM.
It should be run with the current directory set to the folder that this file is in. 
It requires the folders "dofiles," "cleandata," "rawdata," and "exhibits,"
as well as the content that was already in "rawdata" when the replication package
was downloaded. 
It runs in about 12 minutes.


In /rawdata, the data is in its original form. 

In /cleandata, the data has been cleaned and is compiled into a few datasets that
are then used to make the tables and figures. 

The folder /dofiles contains the do files that are called by the master.do.

The folder /exhibits contains the tables and figures that are in the paper.

The File "Replication Structure" contains a list of figures, including the dofile 
that creates each figure, and the datasets that are required to create it. It also 
contains a list of the files in /cleandata, and the dofiles that create each of 
those. It also contains a list of all the files in /rawdata that go into each 
dataset in /cleandata.




We use a variety of sources for the rawdata.


rawdata\bea
	This data comes from the Bureau of Economic Analysis. It was accessed from
 	https://apps.bea.gov/regional/downloadzip.cfm at various times from 2018-2020.

rawdata\bls_rents
	bls_rents were downloaded from FRED, which uses data from the BLS. Data is downloaded
	for every metro area available. Accessed 2/20/2020

rawdata\building_permits_survey
	Data comes from the Census. https://www.census.gov/construction/bps/
	Accessed 8/21/2020

rawdata\cost indexes
	Data comes from BLS, and was https://beta.bls.gov/dataViewer/view/timeseries/WPUSI012011
	on 12/4/2020.

rawdata\crosswalks
	Data contains a variety of geographic and industry crosswalk files
	Geographic crosswalks downloaded from Missouri Data Center geocorr

rawdata\fhfa
	Data contains house price indices from 
	https://www.fhfa.gov/DataTools/Downloads/Pages/House-Price-Index.aspx
	Accessed 2/20/2020 (state and cbsa) and 9/27/2022 (county)

rawdata\guren_mckay_nakamura_steinsson
	Data contains the gammas from "Guren, McKay, Nakamura, and Steinsson (2022)"
	Dowloaded 2/20/2020 from people.bu.edu/guren

rawdata\intercensal
	Data contains intercensal estimates from
	https://www2.census.gov/programs-surveys/popest/tables/1990-2000/intercensal/
	Accessed 6/13/2019
	Data from 1990s is only available in aggregated form as a pdf 
	It was copied and pasted into the spreadsheet

rawdata\jorda_schularick_taylor
	Data downloaded from macrohistory.net 2/18/2020

rawdata\michigan_survey
	Data was from the Michigan Survey of Consumers. We emailed them and were sent
	the data on 6/4/2020. We aggregated it and include the aggregated data in the 
	folder. (The do file for aggregation is also available in the folder, but the
	underlying data is not included since it is potentially identifiable. )

rawdata\population_estimates
	Data on population estimates from
	https://www.census.gov/data/tables/time-series/demo/popest/2010s-state-total.html#par_textimage
	https://web.archive.org/web/20120108192001/http://www.census.gov/popest/data/historical/2000s/vintage_2009/index.html
	Accessed 6/11/2019.

rawdata\saiz
	Data from Saiz (2010).

rawdata\state_pcpi
	Data from FRED, which uses the state income estimates from the BEA.
	Accessed 3/6/2020 using the "download_stategdp.do" file, which we left in that folder.

rawdata\usgdp
	Data from FRED, which comes from the BEA.
	Accessed 2/18/2020 using the "importdata.do" file, which we left in that folder.

rawdata\WID_Data_Metadata
	Data from https://wid.world/data/ accessed 5/20/2020

rawdata\zillow
	Data from https://www.zillow.com/research/data/
	Accessed 7/8/2019, 12/2/2019, 7/9/2019, 7/3/2019, 6/17/2019