Gerdie Everaert and Hauke Vierke, "Demographics and Business Cycle
Volatility: A Spurious Relationship?", Journal of Applied
Econometrics, Vol. 31, No. 7, 2016, pp. 1467-1477.

This paper replicates three closely related studies:

Jaimovich N., Siu H. E. (2009). "The young, the old, and the restless:
Demographics and business cycle volatility," American Economic Review
99: 804-826.

The original dataset and a readme file with instructions are available
at the AER website:

https://www.aeaweb.org/aer/data/june09/20070168_data.zip


Lugauer S. (2012). "Estimating the effect of the age distribution on
cyclical output volatility across the United States," The Review of
Economics and Statistics 94: 896-902.

The original dataset and a readme file with instructions are available
at the Review of Economics and Statistics Database:

http://hdl.handle.net/1902.1/19663


Lugauer S., Redmond M. (2012). "The Age Distribution and Business Cycle
Volatility: International Evidence," Economics Letters 117: 694-696.

The original dataset was provided by Steven Lugauer upon request. In
the replication study, we use an alternative dataset based on more
recent revisions of the Penn World Tables and the United Nations World
Population Prospects. We provide this dataset (51 countries,
1957-2000) in the file ev-data.zip, which contains two text files.

-- share.txt: This file contains the age share variable, separated by
commas. It is constructed as fraction of the working age population
aged 15 to 29 plus those aged 60 to 64, using data from the World
Population Prospects (2012 revision). 

-- vola.txt: This file contains the output volatility variable,
separated by commas. Volatility is defined as the 9-year rolling
standard deviation of log annual GDP, de-trended using the HP filter. 
The variable is based on the Penn World Table (2012, version 7.1).

Both text files are ASCII files in DOS format. Unix/Linux users should
use "unzip -a".

Hauke Vierke
haukehendrik.vierke@ugent.be