The Oxford Handbook of Economic Forecasting
- Clements, Michael P.(University of Warwick)Hendry, David F.(University of Oxford)Registered editor(s):
This Handbook provides up-to-date coverage of both new developments and well-established fields in the sphere of economic forecasting. The chapters are written by world experts in their respective fields, and provide authoritative yet accessible accounts of the key concepts, subject matter and techniques in a number of diverse but related areas. It covers the ways in which the availability of ever more plentiful data and computational power have been used in forecasting, either in terms of the frequency of observations, the number of variables, or the use of multiple data vintages. Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained; the volume provides explanations and critiques of these developments. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models, as well as models for handling data observed at mixed frequencies, high-frequency data, multiple data vintages, and methods for forecasting when there are structural breaks, and how breaks might be forecast. Also covered are areas which are less commonly associated with economic forecasting, such as climate change, health economics, long-horizon growth forecasting, and political elections. Econometric forecasting has important contributions to make in these areas, as well as their developments informing the mainstream. In the early 21st century, climate change and the forecasting of health expenditures and population are topics of pressing importance. Available in OSO: http://www.oxfordhandbooks.com/oso/public/content/oho_economics/9780195398649/toc.html
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|This book is provided by Oxford University Press in its series OUP Catalogue with number 9780195398649 and published in 2011.|
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- Kenneth W Clements & Grace Gao, 2013.
"A Multi-Market Approach to Measuring the Cycle,"
Economics Discussion / Working Papers
13-16, The University of Western Australia, Department of Economics.
- Kenneth W Clements & Grace Gao, 2014. "A multi-market approach to measuring the cycle," Bankwest Curtin Economics Centre Working Paper series WP1404, Bankwest Curtin Economics Centre (BCEC), Curtin Business School.
- Marczak, Martyna & Proietti, Tommaso, 2015.
"Outlier Detection in Structural Time Series Models: the Indicator Saturation Approach,"
Annual Conference 2015 (Muenster): Economic Development - Theory and Policy
113137, Verein für Socialpolitik / German Economic Association.
- Marczak, Martyna & Proietti, Tommaso, 2016. "Outlier detection in structural time series models: The indicator saturation approach," International Journal of Forecasting, Elsevier, vol. 32(1), pages 180-202.
- Marczak, Martyna & Proietti, Tommaso, 2014. "Outlier detection in structural time series models: The indicator saturation approach," FZID Discussion Papers 90-2014, University of Hohenheim, Center for Research on Innovation and Services (FZID).
- Martyna Marczak & Tommaso Proietti, 2014. "Outlier Detection in Structural Time Series Models: the Indicator Saturation Approach," CREATES Research Papers 2014-20, Department of Economics and Business Economics, Aarhus University.
- Martyna Marczak & Tommaso Proietti, 2014. "Outlier Detection in Structural Time Series Models: the Indicator Saturation Approach," CEIS Research Paper 325, Tor Vergata University, CEIS, revised 08 Aug 2014.
- Fritz Breuss, 2016. "Would DSGE Models have predicted the Great Recession in Austria?," WIFO Working Papers 530, WIFO.
- David Hendry & Grayham E. Mizon, 2016. "Improving the Teaching of Econometrics," Economics Series Working Papers 785, University of Oxford, Department of Economics.
- Johanna Posch & Fabio Rumler, 2015. "Semi‐Structural Forecasting of UK Inflation Based on the Hybrid New Keynesian Phillips Curve," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 34(2), pages 145-162, 03.
- Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2012.
"Common Drifting Volatility in Large Bayesian VARs,"
CEPR Discussion Papers
8894, C.E.P.R. Discussion Papers.
- Andrea CARRIERO & Todd E. CLARK & Massimiliano MARCELLINO, 2012. "Common Drifting Volatility in Large Bayesian VARs," Economics Working Papers ECO2012/08, European University Institute.
- Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Common drifting volatility in large Bayesian VARs," Working Paper 1206, Federal Reserve Bank of Cleveland.
- Meriküll, Jaanika & Eamets, Raul & Humal, Katrin & Espenberg, Kerly, 2012. "Power without manpower: Forecasting labour demand for Estonian energy sector," Energy Policy, Elsevier, vol. 49(C), pages 740-750.
- Bialowolski, Piotr & Kuszewski, Tomasz & Witkowski, Bartosz, 2015.
"Bayesian averaging vs. dynamic factor models for forecasting economic aggregates with tendency survey data,"
Economics Discussion Papers
2015-28, Kiel Institute for the World Economy (IfW).
- Bialowolski, Piotr & Kuszewski, Tomasz & Witkowski, Bartosz, 2015. "Bayesian averaging vs. dynamic factor models for forecasting economic aggregates with tendency survey data," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 9, pages 1-37.
- Yuxuan Huang, 2016. "Forecasting the USD/CNY Exchange Rate under Different Policy Regimes," Working Papers 2016-001, The George Washington University, Department of Economics, Research Program on Forecasting.
- Carlos Medel, 2016.
"Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach,"
Working Papers Central Bank of Chile
785, Central Bank of Chile.
- Medel, Carlos A., 2015. "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," MPRA Paper 67081, University Library of Munich, Germany.
- Carlos Medel, 2015.
"Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile,"
Working Papers Central Bank of Chile
769, Central Bank of Chile.
- Medel, Carlos, 2015. "Inflation Dynamics and the Hybrid Neo Keynesian Phillips Curve: The Case of Chile," MPRA Paper 62609, University Library of Munich, Germany.
- Romeo Ionescu, 2012. "The Economic Recovery across the EU vs the Global Crisis," EuroEconomica, Danubius University of Galati, issue 2(31), pages 30-39, May.
- Neil R. Ericsson, 2016. "Economic Forecasting in Theory and Practice: An Interview with David F. Hendry," Working Papers 2016-012, The George Washington University, Department of Economics, Research Program on Forecasting.
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