On the constancy of time-series econometric equations

Parameter constancy is a fundamental requirement for empirical models to be useful for forecasting, analysing economic policy, or testing economic theories. However, there are surprises in defining a constant-parameter model, such that models with time-varying coefficients, and expansion of the para...

Full description

Bibliographic Details
Main Author: Hendry, D
Format: Journal article
Language:English
Published: Economic & Social Research Institute 1996
_version_ 1797095551196463104
author Hendry, D
author_facet Hendry, D
author_sort Hendry, D
collection OXFORD
description Parameter constancy is a fundamental requirement for empirical models to be useful for forecasting, analysing economic policy, or testing economic theories. However, there are surprises in defining a constant-parameter model, such that models with time-varying coefficients, and expansion of the parameterisation over time are both compatible with constancy, yet unbiased forecasts may not entail a sensible model choice. In-sample tests cannot determine likely post-sample predictive failure. A comparison of two models of UK money demand illustrates the analysis empirically, as one suffers considerable predictive failure yet the other does not, despite being identical in-sample.
first_indexed 2024-03-07T04:29:28Z
format Journal article
id oxford-uuid:cdd32c72-7739-4409-a368-4e72b428526e
institution University of Oxford
language English
last_indexed 2024-03-07T04:29:28Z
publishDate 1996
publisher Economic & Social Research Institute
record_format dspace
spelling oxford-uuid:cdd32c72-7739-4409-a368-4e72b428526e2022-03-27T07:31:21ZOn the constancy of time-series econometric equationsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:cdd32c72-7739-4409-a368-4e72b428526eEnglishDepartment of Economics - ePrintsEconomic & Social Research Institute1996Hendry, DParameter constancy is a fundamental requirement for empirical models to be useful for forecasting, analysing economic policy, or testing economic theories. However, there are surprises in defining a constant-parameter model, such that models with time-varying coefficients, and expansion of the parameterisation over time are both compatible with constancy, yet unbiased forecasts may not entail a sensible model choice. In-sample tests cannot determine likely post-sample predictive failure. A comparison of two models of UK money demand illustrates the analysis empirically, as one suffers considerable predictive failure yet the other does not, despite being identical in-sample.
spellingShingle Hendry, D
On the constancy of time-series econometric equations
title On the constancy of time-series econometric equations
title_full On the constancy of time-series econometric equations
title_fullStr On the constancy of time-series econometric equations
title_full_unstemmed On the constancy of time-series econometric equations
title_short On the constancy of time-series econometric equations
title_sort on the constancy of time series econometric equations
work_keys_str_mv AT hendryd ontheconstancyoftimeserieseconometricequations