This repo contains scripts that prepare the raw RWI-GEO-RED data for use in Ahlfeldt, Heblich, and Seidel (2022) algorithm.
- Unzip/extract the zipped data that comes from RWI FDZ (which you may have downloaded as
HiDrive.zip
) as below:
├── csv
│ ├── HK_SUF_csv
│ ├── HM_SUF_csv
│ ├── WK_SUF_csv
│ ├── WM_SUF_csv
│ ├── HK_SUF_csv.zip
│ ├── HM_SUF_csv.zip
│ ├── WK_SUF_csv.zip
│ └── WM_SUF_csv.zip
├── Dokumentation
│ ├── Data report
│ ├── dup_id
│ ├── Frequencies
│ └── Labels
├── Raster_shp
└── Stata
├── HK_SUF_ohneText
├── HM_SUF_ohneText
├── WK_SUF_ohneText
├── WM_SUF_ohneText
├── WM_SUF_ohneText10.dta
├── WM_SUF_ohneText11.dta
├── WM_SUF_ohneText1.dta
├── WM_SUF_ohneText2.dta
├── WM_SUF_ohneText3.dta
├── WM_SUF_ohneText4.dta
├── WM_SUF_ohneText5.dta
├── WM_SUF_ohneText6.dta
├── WM_SUF_ohneText7.dta
├── WM_SUF_ohneText8.dta
└── WM_SUF_ohneText9.dta
├── HK_SUF_ohneText.zip
├── HM_SUF_ohneText.zip
├── WK_SUF_ohneText.zip
├── WM_SUF_ohneText.zip
├── HK_SUF
├── HM_SUF
├── WK_SUF
├── WM_SUF
├── HK_SUF.zip
├── HM_SUF.zip
├── WK_SUF.zip
└── WM_SUF.zip
- Run
prepare_rents.do
andprepare_prices.do
.
Additionally, in the extra/
folder, labor market regions (Kosfeld and Werner (2012)), (1kmx1km) grid, municipality, and district information are provided. Note: the Kosfeld and Werner (2012)'s labor market regions are updated for the 2019 (end of the year) administrative structure (Verwaltungsgliederung am 31.12.2019) of districts.