Daniel Kaufmann, "Is Deflation Costly After All? The Perils of
Erroneous Historical Classifications," Journal of Applied
Econometrics, Vol. 35, No. 5, 2020, pp. 614-628.

All files are zipped in the file dk-files.zip. It contains four main
folders: Data, Functions, Programs, and Results.

Most files are ASCII text files in DOS format. However, there are also
one data file in R format and numerous PDF files. Unix/Linux users
should therefore exercise care. Using "unzip -a" might have very bad
consequences for the non-ASCII files.


Notes

Files with the extension *.R run in R (v. 3.6.1) and RStudio (v. 1.2.5019).

Files with the extension *.do run in Stata (v. 15). 

The GMM estimates are based on iterative procedures that may require
to increase the number of iterations in the program (see options in
the Stata files)


Data

BLSData.RData
	BLS CPI subindices to construct the modern replications

CompositeCPIMeasuringWorth.csv
	Composite CPI by Officer and Williamson (2016), www.measuringworth.com

RawDataProxy.csv
	PPI data by Warren and Pearson (1933) linked with modern replications
	by Hanes (2006)

RawData[Country].csv
	Historical data for various economies. See Online Appendix B6 for a
	detailed description


Programs

1_SimulatePlim.R -> Fig. 1, Fig C.1
        R program simulating the probability limit under various assumptions
        on the measurement errors.

2_RomerizeBLSData.R -> Fig. 2, Tab. 1, B4, B5, DataForStataUS.xlsx
	Uses BLSData.RData (Alternatively uses original BLS data
	downloaded from internet as well as RawDataUS.csv,
	CompositeCPIMeasuringWorth.csv and RawDataProxy.csv); see
	Online Appendix B3 for a detailed description.
	
	Computes the replication and the proxy for the US with
	historical and modern data.  In addition, prepares the US data
	set for the Stata programs.

3_ConstructStataData.R-> Fig. B2, DataForStata[Country].xlsx
	Uses RawData[Country].csv.
	Imports the international data sources (see Online Appendix
	Tab. B6) and constructs data sets used in the Stata programs.

4_ResultsUS.do -> Tab. 2, Tab C.3
	Uses DataForStataUS.xlsx.
	Computes the results using US industrial production growth.

5_ResultsUK.do -> Tab. 3
	Uses DataForStataUK.xlsx.
	Computes the estimates for various real activity measures for the UK.

6_ResultsCrossCountry.do-> Fig. 3, C.2, C.3
	Uses DataForStata[Country].xlsx.
	Computes the cross-country results (main results and robustness tests).

7_SimulatedData.do -> Tab. 4
	Uses DataForStataUS.xlsx.
	Computes the results with simulated error-ridden data.

8_ResultsRobust.do-> Tab. C.1, C.2, C.3, D.1, D.2, D.3, D.4
	Uses DataForStataUS.xlsx.
	Computes various robustness checks for the US.

9_RobusntessGrid.do -> Fig. D.1
	Uses DataForStataUS.xlsx.
	Computes the robustness tests for various assumptions on the
	misclassification rates.


Contact

Daniel Kaufmann
daniel.kaufmann [AT] unine.ch