Improving modelling and forecasting in the public and private sectors
Submitting Institution
University of OxfordUnit of Assessment
Economics and EconometricsSummary Impact Type
EconomicResearch Subject Area(s)
Mathematical Sciences: Statistics
Information and Computing Sciences: Information Systems
Economics: Econometrics
Summary of the impact
A series of econometric methods and software, designed by a team of
econometricians at Oxford, have been adopted as standard by a large range
of governmental bodies, international agencies and businesses. The
econometric methods are designed to model and forecast high-dimensional,
evolving economic processes facing multiple structural shifts, while the
econometric software (PcGive) implements the resulting
best-practice procedures. The application of these methods have resulted
in more appropriate empirical models, improved robust forecasts, and,
consequently, better decision making by these bodies.
Underpinning research
Since the early 1980s, time-series econometricians at Oxford have focused
on developing robust techniques for modelling and forecasting important
macroeconomic variables, and implementing the procedures in
publicly-available software. The key researchers involved in this research
at Oxford University are: Sir David Hendry, Professor of Economics and
Fellow of Nuffield College since 1982; Jurgen Doornik, Research Fellow at
Nuffield College since 1989; and Jennifer Castle, Fellow at Magdalen
College since 2006, Postdoctoral Research Fellow, Department of Economics
2003-06.
Research undertaken by this group has established the importance of
structural shifts in economic relationships as the main cause of forecast
failures. In the face of structural breaks, so-called
equilibrium-correction models (ECM - the de facto standard in
empirical econometrics) face serious forecasting problems. The reason is
that such models are designed to return to equilibrium, but, after a
structural shift, this is now the wrong equilibrium. While forecasting
performance of ECM models can be improved through `mechanistic'
corrections, Oxford researchers have shown that such techniques are
outperformed by approaches that model the break process explicitly [R6,
R3].
Economies both evolve and experience sudden changes, which interact with
the plethora of highly interrelated macroeconomic variables arising from
agents' actions, such that many features of econometric models cannot be
derived by prior reasoning. Model selection can reduce this complexity,
intrinsically involving empirical discovery and theory evaluation [R5].
The model selection and evaluation techniques developed by this research
group have been carefully validated, allowing investigators to handle very
general models with many variables, long lag lengths, and non-linear
functions, while at the same time taking into account outliers, data
contamination, and parameter shifts [R1, R2]. These general
representations retain the best available theory while being simplified to
well-specified representations that are rigorously evaluated against the
data to ascertain their validity [R4].
Research on the theory of model selection has been accompanied throughout
by the development of publicly available econometric software. PcGive,
a user-friendly interactive econometric modelling package for estimation,
testing and forecasting, designed by members of the Oxford team, was first
released in the mid-eighties and is now in its fourteenth version. Version
10, released in 2001, was rewritten in the matrix programming language,
Ox, developed by Doornik, permitting more efficient code development and
greater flexibility for users. Econometric model selection packages
written in Ox to implement the general-to-specific (GETS) modelling
approach described above, have culminated in the recent automatic search
algorithm, Autometrics within PcGive (both using and
contributing to advances in the theory of model selection [R1, R5,
R6].
References to the research
[R1] **Castle, J.L., J.A. Doornik and D.F. Hendry (2011),
"Evaluating Automatic Model Selection", Journal of Time Series
Econometrics, 3 ,1, DOI: 10.2202/1941-1928.1097
[R2] **Castle, J.L., J.A. Doornik and D.F. Hendry (2012), "Model
Selection when there are Multiple Breaks", Journal of Econometrics,
169, 2, 239-246.
[R3] **Castle, J.L., N.W.P. Fawcett and D.F. Hendry (2010)
"Forecasting with Equilibrium- correction Models during Structural
Breaks", Journal of Econometrics, 158, pp 25-36.
[R4] *Castle, J.L., and D.F. Hendry (2010) "A Low-Dimension
Portmanteau Test for Non-linearity", Journal of Econometrics, 158,
231-245. (A revised version of University of Oxford Department of
Economics Discussion paper 326, May 2007)
[R5] Doornik, J.A. (2009), "Autometrics". In J.L. Castle and N.
Shephard, (eds.) The Methodology and Practice of Econometrics,
Oxford: Oxford University Press, pp. 88-121.
[R6] *Hendry, D.F.(2006) "Robustifying Forecasts from
Equilibrium-Correction Models", Journal of Econometrics, 135, pp.
399-426
Research Quality
Journal of Econometrics is the top field journal for econometrics.
It was rated as "4*" by the ESRC- RES review of UK Economics, and classed
as AA in the Combes-Linnemer (2010) ranking of economics journals.
*denotes publication returned as part of RAE 2008
**denotes publication returned as part of REF 2014
Research Grants
This research has been supported by many grants, including a Leverhulme
Personal Research Professorship on Forecasting,1995-2000, for Hendry, and
the following ESRC awards:
- Automatic Tests of Model Specification (2006-2008, £230K)
- Extending the Boundaries of Econometric Modelling (2004-2007, £133K,
rated Outstanding)
- Professorial Fellowship, Hendry: Economic Forecasting (2003-2006,
£314K, rated Outstanding)
- Modelling, Forecasting and Policy in the Evolving Macro-Economy
(2000-2002, £289K, rated Outstanding)
- Modelling Non-Stationarity in Economic Time Series (1998-2001, £355K,
rated Outstanding)
- Econometrics of Economic Forecasting (1996-1999, £291K, rated
Outstanding)
- Modelling Cointegrated Processes (1994-1997, £300K, rated Outstanding)
Current support is provided by the Open Society Foundation, and matched
by the James Martin Foundation (2010-2015, totalling $10m).
Details of the impact
Research into the theory of modelling and forecasting by the Oxford
researchers has informed the development and the use of the PcGive
software for empirical analysis. The associated documentation (Doornik,
J.A. and Hendry, D.F. Empirical Econometric Modelling using PcGive,
Timberlake Consultants Press, London (2013, 2009, 2007, 2001) both
introduces the user to the underlying econometric methodology and provides
a series of tutorials explaining the detailed use of PcGIve. The
automatic search algorithm Autometrics, [R5] has been part
of PcGive from version 12 (release date August 2007), permitting
econometricians to use automatic methods for model selection and
evaluation, and to detect and model structural breaks. PcGive13
(released 2009) extended the application of Autometrics to
non-linear models. Automatic model selection procedures save considerable
labour time, allowing economists to focus on their economic expertise
while widening the scope for empirical discovery when initial ideas are
incomplete. The importance of structural shifts as a cause of forecast
failure [R3] makes automatic detection and handling of such breaks
vital.
PcGive software has been adopted in many governmental institutions
and businesses, and is now seen as `the' industry standard. The
Bank of England, the Federal Reserve Board, International Monetary Fund
(IMF), The World Bank, Inter-American Development Bank and many European
central banks use PcGive, implementing the methodological
developments as they advanced from the early research into the software.
This is confirmed by the data on purchases of PcGive by central
banks. Based on information from 2011 and 2012 only, purchases or renewals
were made by central banks from: Argentina, Barbados, Bulgaria, Czech
Republic, Denmark, ECB, France, Italy, Mongolia, Nigeria, Norway Peru,
Philippines, Uganda, Bank of England, the Federal Reserve Board, and FRB
Dallas. Other institutional purchases for the same years include: Bank for
International Settlements, IMF, US Bureau of Labour Statistics, US
Department of Transportation, European Commission, Statistics Netherlands
and Norway, The World Bank, The Law Society. While in the same period,
companies making purchases or renewals include: Allstate Insurance,
Fidelity Investments, and ITAU Unibanco (among others). Motability, a
national charity helping disabled people with personal mobility, and one
of the largest automobile lease-companies in the UK, recently adopted Autometrics
to develop better forecasts three years ahead for the residual values of
vehicles returned when their leases had ended. Total non-academic sales
were equivalent to almost 2500 single-user copies over 2008-2013. Detailed
information on the number and range of sales of the PcGive
software and the OxMetrics platform developed at Oxford for the
period 2008 to 2013 may be obtained from Timberlake Consultants Ltd, the
private distributor [C1]
The impact of the recent developments in econometric methodology and
software is evidenced in empirical work using automated
general-to-specific model selection (GETS) and Autometrics
produced by central banks and international institutions as documented in
the following references. A few key examples include:
- Norges Bank employs the modelling software in empirical studies. The
Director of Research at the Norges Bank (the Central Bank of Norway)
states that OxMetrics is the standard software offered to their
economists and is used in econometric research, policy analyses and
staff training [C2, C3].
- The Federal Reserve uses the methodology and the associated software
to estimate its models and to inform its thinking and approach to
modelling [C4, C5].
- MOSES: Model of Swedish Economic Studies", an "aggregate econometric
model for Sweden...intended for short-term forecasting and policy
simulations" constructed by Sveriges Riksbank (Swedish Central
Bank). Autometrics is described as "an essential ingredient in
building MOSES" [C6. p. 14].
- The UK Office for National Statistics has used the GETS modelling
approach to produce flash estimates of European labour costs for use in
policy-making [C7].
- The Agricultural and Rural Development Unit, Africa Region of the
World Bank has used the general-to-specific methodology in Autometrics
to investigate key food prices in developing economies [C8].
- Researchers at the Czech National Bank used the general-to-specific
methodology in Autometrics for testing banking sector resilience
[C9].
The successful commercialization of the software has been supported by
the provision of tailor- made extensive training courses, designed by the
Oxford team. These have been used by central banks and international
institutions: for example week-long courses have been run at the IMF
(annually, 2002 to 2011), the central banks of Japan (2009) and Brazil
(2010), and the ECB (annually, 2010 onwards), as well as annual public
attendance courses for academics, students and private users. Timberlake
Consultants, jointly with our team and other researchers, organize
OxMetrics conferences as a forum where academics and practitioners
exchange ideas and experience, annually in Europe (usually London), and
biannually in Washington DC [C1].
Private sector companies like Absolute Strategy Research use the team's
approaches and software in their commercial activities. Absolute Strategy
Research place the econometric methodology developed by Professor Hendry
and his team, and the associated computing software, "at the heart of much
of the econometric analysis that we undertake" and confirm that it plays a
key role in their commercial success [C10]. The Joint Managing
Director stated: that "the econometric methodology that [Hendry's team]
have developed has helped us specifically in the last year in our
modelling of European and Global corporate earnings... as well as in the
creation of a suite of Leading Indicators for Eurozone, UK, Asia and the
USA." [C10]
Sources to corroborate the impact
[C1] The Director of Timberlake Consultants Ltd, corroborates the
number and range of institutions and companies that use the software,
participants of training courses, conferences and workshops and feedback
from participants (Letter on file).
[C2] Director of Research Department - Financial Stability, Norges
Bank, corroborates the impact of the research and software at the
Norwegian central bank (Letter on file).
[C3] Hammersland and Traee (2012) The Financial Accelerator and
The Real Economy: A Small Macroeconomic Model for Norway with Financial
Frictions, Norges Bank Staff Memo no 2. (http://www.norges-bank.no/Upload/Publikasjoner/Staff%20Memo/2012/StaffMemo212.pdf)
This is an example of economic modelling undertaken by economists at
Norges Bank using the Autometrics methodogy (p.6 and references)
[C4] Senior Economist at the Federal Reserve Board (until 2013)
can corroborate the impact of the research and software at the FED.
[C5] Neil R. Ericsson and Erica L. Reisman, (2012), `Evaluating a
Global Vector Autoregression for Forecasting', International Finance
Discussion Papers 1056, Washington: Board of Governors of the
Federal Reserve System (http://www.federalreserve.gov/pubs/ifdp/2012/1056/ifdp1056.pdf)
Example of the use of Autometrics to evaluate models used for
macroeconomics forecasting (acknowledgements and pp.7-8)
[C6] Bårdsen, Gunnar & den Reijer, Ard & Jonasson, Patrik
& Nymoen, Ragnar, (2012), "MOSES: Model of Swedish Economic Studies,"
Economic Modelling, 29, 2566--2582; also in
Working Paper Series 249, Sveriges Riksbank, section 4.2 p.14. www.riksbank.se/upload/Dokument_riksbank/Kat_publicerat/WorkingPapers/2011/wp249.pdf
[C7] Graeme Chamberlin, "European Labour Costs", European and
Labour Market Review, 3, 11, November 2009, Office for
National Statistics, pp 32-39 (http://www.palgrave-journals.com/elmr/journal/v3/n11/pdf/elmr2009190a.pdf)
[C8] Loening, Josef L., Durevall, Dick and Birru, Yohannes A.,
"Inflation Dynamics and Food Prices in an Agricultural Economy: The Case
of Ethiopia", World Bank, 2009, p.25, and footnote 20. https://openknowledge.worldbank.org/bitstream/handle/10986/4163/WPS4969.pdf?sequence=1
[C9] Adam Gersl & Petr Jakubik & Tomas Konecny & Jakub
Seidler, "Dynamic Stress Testing: The Framework for Testing Banking Sector
Resilience Used by the Czech National Bank," Working Papers 2012/11, Czech
National Bank, 2012, p.14 http://www.cnb.cz/miranda2/export/sites/www.cnb.cz/en/research/research_publications/cnb_wp/d
ownload/cnbwp_2012_11.pdf
[C10] Managing Director, Absolute Strategy Research Ltd.
corroborates the contribution of the forecasting methodology, the
associated software, the conferences and workshops on the work of the
company (Letter on file).