gets (version 0.2)

hpdata: Hoover and Perez (1999) data

Description

Data used by Hoover and Perez (1999) in their evaluation of General-to-Specific (GETS) modelling. A detailed description of the data is found in their Table 1 (page 172). The data are quarterly, comprise 20 variables and runs from 1959:1 to 1995:1. This corresponds to 145 observations. The source of the data is Citibank

Usage

data(hpdata)

source

Retrieved 14 October 2014 from: http://www.csus.edu/indiv/p/perezs/Data/data.htm

Details

The data have been used for comparison and illustration of GETS model selection in several studies of the GETS methodology, including Hendry and Krolzig (1999, 2005), Doornik (2009) and Sucarrat and Escribano (2012).

References

David F. Hendry and Hans-Martin Krolzig (1999): 'Improving on 'Data mining reconsidered' by K.D. Hoover and S.J Perez', Econometrics Journal, Vol. 2, pp. 202-219 David F. Hendry and Hans-Martin Krolzig (2005): 'The properties of automatic Gets modelling', Economic Journal 115, C32-C61 Jurgen Doornik (2009): 'Autometrics', in Jennifer L. Castle and Neil Shephard (eds), 'The Methodology and Practice of Econometrics: A Festschrift in Honour of David F. Hendry', Oxford University Press, Oxford, pp. 88-121 Genaro Sucarrat and Alvaro Escribano (2012): 'Automated Financial Model Selection: General-to-Specific Modelling of the Mean and Volatility Specifications', Oxford Bulletin of Economics and Statistics 74, Issue no. 5 (October), pp. 716-735

Examples

##load Hoover and Perez (1999) data:
data(hpdata)

##make quarterly data-matrix of zoo type:
newhpdata <- zooreg(hpdata[,-1], start=c(1959,1), end=c(1995,1), frequency=4)

##plot data:
plot(newhpdata)

##transform data to log-differences in percent:
dloghpdata <- diff(log(newhpdata))*100

##plot log-differenced data:
plot(dloghpdata)