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Simon Price

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. George Kapetanios & Vincent Labhard & Simon Price, 2007. "Forecast combination and the Bank of England’s suite of statistical forecasting models," Bank of England working papers 323, Bank of England.

    Mentioned in:

    1. Forecasting GDP in the presence of breaks: when is the past is a good guide to the future?
      by bankunderground in Bank Underground on 2015-08-20 11:30:00
    2. Forecasting GDP in the presence of breaks: when is the past a good guide to the future?
      by Guest Author in The Big Picture on 2015-09-01 14:00:11
  2. Giraitis, Liudas & Kapetanios, George & Price, Simon, 2013. "Adaptive forecasting in the presence of recent and ongoing structural change," Journal of Econometrics, Elsevier, vol. 177(2), pages 153-170.

    Mentioned in:

    1. Forecasting GDP in the presence of breaks: when is the past is a good guide to the future?
      by bankunderground in Bank Underground on 2015-08-20 11:30:00
    2. Forecasting GDP in the presence of breaks: when is the past a good guide to the future?
      by Guest Author in The Big Picture on 2015-09-01 14:00:11
  3. Emilio Fernandez-Corugedo & Simon Price & Andrew Blake, 2003. "The dynamics of consumers' expenditure: the UK consumption ECM redux," Bank of England working papers 204, Bank of England.

    Mentioned in:

    1. What consumer problem?
      by chris dillow in Stumbling and Mumbling on 2008-01-09 22:37:13
    2. The myth of the irrational consumer
      by chris dillow in Stumbling and Mumbling on 2008-11-20 19:00:42
    3. Citizens vs economists
      by chris dillow in Stumbling and Mumbling on 2014-05-02 18:17:16
    4. Why workers matter
      by chris dillow in Stumbling and Mumbling on 2014-11-21 19:20:30
    5. When to distrust elites
      by chris in Stumbling and Mumbling on 2016-10-08 15:30:15
    6. Elites or people?
      by chris in Stumbling and Mumbling on 2016-12-01 19:13:41
    7. The forecasting record
      by chris in Stumbling and Mumbling on 2019-02-12 13:27:57
    8. Simplicity: smart & stupid
      by chris in Stumbling and Mumbling on 2019-07-05 12:41:20
    9. Smart consumers. stupid voters
      by chris in Stumbling and Mumbling on 2019-08-21 13:02:52
    10. Experts: the Caprice challenge
      by chris in Stumbling and Mumbling on 2020-07-17 12:19:20
    11. On forecasting
      by chris in Stumbling and Mumbling on 2021-01-13 16:30:53
  4. Jana Eklund & George Kapetanios & Simon Price, 2013. "Robust Forecast Methods and Monitoring during Structural Change," Manchester School, University of Manchester, vol. 81, pages 3-27, October.

    Mentioned in:

    1. Forecasting GDP in the presence of breaks: when is the past is a good guide to the future?
      by bankunderground in Bank Underground on 2015-08-20 11:30:00
    2. Forecasting GDP in the presence of breaks: when is the past a good guide to the future?
      by Guest Author in The Big Picture on 2015-09-01 14:00:11

Working papers

  1. Fabio Calonaci & George Kapetanios & Simon Price, 2022. "Stock returns predictability with unstable predictors," CAMA Working Papers 2022-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.

    Cited by:

    1. Polbin, Andrey & Skrobotov, Anton, 2022. "On decrease in oil price elasticity of GDP and investment in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 5-24.

  2. Kapetanios, G. & Price, S. & Tasiou, M. & Ventouri, A., 2020. "State-level wage Phillips curves," Working Papers 20/08, Department of Economics, City University London.

    Cited by:

    1. Rotundo, G. & Ausloos, M., 2007. "Microeconomic co-evolution model for financial technical analysis signals," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 373(C), pages 569-585.
    2. Makram El-Shagi & Kiril Tochkov, 2023. "Regional Heterogeneity and the Provinicial Phillips Curve in China," CFDS Discussion Paper Series 2023/3, Center for Financial Development and Stability at Henan University, Kaifeng, Henan, China.
    3. Alderremy, A.A. & Saad, Khaled M. & Agarwal, Praveen & Aly, Shaban & Jain, Shilpi, 2020. "Certain new models of the multi space-fractional Gardner equation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    4. Schuffels, Johannes & Kool, Clemens & Lieb, Lenard & van Veen, Tom, 2024. "Is the slope of the euro area Phillips curve steeper than it seems? Heterogeneity and identification," Journal of International Money and Finance, Elsevier, vol. 148(C).
    5. Coma, Julià & Chàfer, Marta & Pérez, Gabriel & Cabeza, Luisa F., 2020. "How internal heat loads of buildings affect the effectiveness of vertical greenery systems? An experimental study," Renewable Energy, Elsevier, vol. 151(C), pages 919-930.
    6. Zhu, H.B. & Zhou, Y.J. & Wu, W.J., 2020. "Modeling traffic flow mixed with automated vehicles considering drivers ’ character difference," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    7. Nie, Binjian & Zou, Boyang & She, Xiaohui & Zhang, Tongtong & Li, Yongliang & Ding, Yulong, 2020. "Development of a heat transfer coefficient based design method of a thermal energy storage device for transport air-conditioning applications," Energy, Elsevier, vol. 196(C).
    8. Li, Zhiyu & Xu, Xiwei & Jiang, Enchen & Han, Ping & Sun, Yan & Zhou, Ling & Zhong, Peidong & Fan, Xudong, 2020. "Alkane from hydrodeoxygenation (HDO) combined with in-situ multistage condensation of biomass continuous pyrolysis bio-oil via mixed supports catalyst Ni/HZSM-5-γ-Al2O3," Renewable Energy, Elsevier, vol. 149(C), pages 535-548.
    9. Shi, Xin & Jiang, Haizhou & Li, Huan & Xu, Dong, 2020. "Maritime cluster research: Evolutionary classification and future development," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 237-254.
    10. Yoo, Yeawon & Escobedo, Adolfo R. & Skolfield, J. Kyle, 2020. "A new correlation coefficient for comparing and aggregating non-strict and incomplete rankings," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1025-1041.

  3. Kapetanios, George & Millard, Stephen & Petrova, Katerina & Price, Simon, 2019. "Time-varying cointegration and the UK great ratios," Bank of England working papers 789, Bank of England.

    Cited by:

    1. Kapetanios, George & Millard, Stephen & Petrova, Katerina & Price, Simon, 2020. "Time-varying cointegration with an application to the UK Great Ratios," Economics Letters, Elsevier, vol. 193(C).

  4. Kapetanios, George & Price, Simon & Young, Garry, 2017. "A UK financial conditions index using targeted data reduction: forecasting and structural identification," Bank of England working papers 699, Bank of England.

    Cited by:

    1. Nikolay Iskrev & Rita Fradique Lourenço & Carla Soares, 2021. "Indicators of monetary policy stance and financial conditions: an overview," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.
    2. Conrado Brum Civelli & Alejandro Fried Gindel & Alfredo Garcia-Hiernaux, 2023. "IFCI-SA. An International Financial Conditions Index for South American Economies," Documentos de trabajo 2023006, Banco Central del Uruguay.
    3. Luke Hartigan & Michelle Wright, 2021. "Financial Conditions and Downside Risk to Economic Activity in Australia," RBA Research Discussion Papers rdp2021-03, Reserve Bank of Australia.
    4. Lütkepohl, Helmut & Staszewska-Bystrova, Anna & Winker, Peter, 2020. "Constructing joint confidence bands for impulse response functions of VAR models – A review," Econometrics and Statistics, Elsevier, vol. 13(C), pages 69-83.
    5. Luke Hartigan & Michelle Wright, 2023. "Monitoring Financial Conditions and Downside Risk to Economic Activity in Australia," The Economic Record, The Economic Society of Australia, vol. 99(325), pages 253-287, June.
    6. Claudio Morana, 2021. "A new macro-financial condition index for the euro area," Working Paper series 21-07, Rimini Centre for Economic Analysis, revised Sep 2021.
    7. Mohsin, Muhammad & Ullah, Hafeez & Iqbal, Nadeem & Iqbal, Wasim & Taghizadeh-Hesary, Farhad, 2021. "How external debt led to economic growth in South Asia: A policy perspective analysis from quantile regression," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 423-437.
    8. Syed Jawad Hussain Shahzad & Elie Bouri & Jose Arreola-Hernandez & David Roubaud & Stelios Bekiros, 2019. "Spillover across Eurozone credit market sectors and determinants," Post-Print hal-02353094, HAL.
    9. Somnath Chatterjee & Ching‐Wai (Jeremy) Chiu & Thibaut Duprey & Sinem Hacıoğlu‐Hoke, 2022. "Systemic Financial Stress and Macroeconomic Amplifications in the United Kingdom," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(2), pages 380-400, April.
    10. Duo Qin & Sophie van Huellen & Qing Chao Wang & Thanos Moraitis, 2022. "Algorithmic Modelling of Financial Conditions for Macro Predictive Purposes: Pilot Application to USA Data," Econometrics, MDPI, vol. 10(2), pages 1-22, April.
    11. Lodge, David & Soudan, Michel, 2019. "Credit, financial conditions and the business cycle in China," Working Paper Series 2244, European Central Bank.
    12. Bui Thanh Trung, 2022. "Measuring Monetary Policy in Emerging Economy: The Role of Monetary Condition Index," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, vol. 70(6), pages 499-522, June.

  5. Kapetanious, George & Price, Simon & Theodoridis, Konstantinos, 2015. "A new approach to multi-step forecasting using dynamic stochastic general equilibrium models," Bank of England working papers 567, Bank of England.

    Cited by:

    1. Michal Franta, 2016. "Iterated Multi-Step Forecasting with Model Coefficients Changing Across Iterations," Working Papers 2016/05, Czech National Bank.

  6. Fawcett, Nicholas & Kapetanios, George & Mitchell, James & Price, Simon, 2014. "Generalised density forecast combinations," Bank of England working papers 492, Bank of England.

    Cited by:

    1. Pauwels, Laurent & Radchenko, Peter & Vasnev, Andrey, 2019. "Higher Moment Constraints for Predictive Density Combinations," Working Papers BAWP-2019-01, University of Sydney Business School, Discipline of Business Analytics.
    2. Emilio Zanetti Chini, 2018. "Forecaster’s utility and forecasts coherence," CREATES Research Papers 2018-01, Department of Economics and Business Economics, Aarhus University.
    3. Davide Pettenuzzo & Francesco Ravazzolo, 2014. "Optimal portfolio choice under decision-based model combinations," Working Paper 2014/15, Norges Bank.
    4. Szabolcs Deák & Paul Levine & Afrasiab Mirza & Joseph Pearlman, 2019. "Designing Robust Monetary Policy Using Prediction Pools," School of Economics Discussion Papers 1219, School of Economics, University of Surrey.
    5. Li Li & Yanfei Kang & Feng Li, 2021. "Bayesian forecast combination using time-varying features," Papers 2108.02082, arXiv.org, revised Jun 2022.
    6. Eckert, Florian & Hyndman, Rob J. & Panagiotelis, Anastasios, 2021. "Forecasting Swiss exports using Bayesian forecast reconciliation," European Journal of Operational Research, Elsevier, vol. 291(2), pages 693-710.
    7. Yi-Ting Chen & Chu-An Liu, 2021. "Model Averaging for Asymptotically Optimal Combined Forecasts," IEAS Working Paper : academic research 21-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    8. Knüppel, Malte & Krüger, Fabian, 2017. "Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168294, Verein für Socialpolitik / German Economic Association.
    9. Francis X. Diebold & Minchul Shin & Boyuan Zhang, 2021. "On the Aggregation of Probability Assessments: Regularized Mixtures of Predictive Densities for Eurozone Inflation and Real Interest Rates," Working Papers 21-06, Federal Reserve Bank of Philadelphia.
    10. Tony Chernis & Gary Koop & Emily Tallman & Mike West, 2024. "Decision synthesis in monetary policy," Papers 2406.03321, arXiv.org, revised Feb 2025.
    11. Taylor, James W. & Jeon, Jooyoung, 2018. "Probabilistic forecasting of wave height for offshore wind turbine maintenance," European Journal of Operational Research, Elsevier, vol. 267(3), pages 877-890.
    12. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2018. "Bayesian Nonparametric Calibration and Combination of Predictive Distributions," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(522), pages 675-685, April.
    13. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    14. Roberto Casarin, 2014. "A Note on Tractable State-Space Model for Symmetric Positive-Definite Matrices," Working Papers 2014:23, Department of Economics, University of Venice "Ca' Foscari".
    15. Daniele Bianchi & Kenichiro McAlinn, 2018. "Large-Scale Dynamic Predictive Regressions," Papers 1803.06738, arXiv.org.
    16. Ruben Loaiza-Maya & Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Andres Ramirez Hassan, 2020. "Optimal probabilistic forecasts: When do they work?," Monash Econometrics and Business Statistics Working Papers 33/20, Monash University, Department of Econometrics and Business Statistics.
    17. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2019. "Does a financial accelerator improve forecasts during financial crises? Evidence from Japan with prediction-pooling methods," Journal of Asian Economics, Elsevier, vol. 60(C), pages 45-68.
    18. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
    19. Kenichiro McAlinn & Kosaku Takanashi, 2019. "Mean-shift least squares model averaging," Papers 1912.01194, arXiv.org.
    20. Pauwels, Laurent L. & Vasnev, Andrey L., 2016. "A note on the estimation of optimal weights for density forecast combinations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 391-397.
    21. Roberto Casarin & Fausto Corradin & Francesco Ravazzolo & Nguyen Domenico Sartore, 2020. "A Scoring Rule for Factor and Autoregressive Models Under Misspecification," Advances in Decision Sciences, Asia University, Taiwan, vol. 24(2), pages 66-103, June.
    22. Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
    23. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2015. "Dynamic predictive density combinations for large data sets in economics and finance," Working Paper 2015/12, Norges Bank.
    24. Ruben Loaiza-Maya & Gael M Martin & David T. Frazier, 2020. "Focused Bayesian Prediction," Monash Econometrics and Business Statistics Working Papers 1/20, Monash University, Department of Econometrics and Business Statistics.
    25. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    26. A. Ford Ramsey & Yong Liu, 2023. "Linear pooling of potentially related density forecasts in crop insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(3), pages 769-788, September.
    27. Fabio Busetti, 2014. "Quantile aggregation of density forecasts," Temi di discussione (Economic working papers) 979, Bank of Italy, Economic Research and International Relations Area.
    28. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
    29. Roberto Casarin & Fabrizio Leisen & German Molina & Enrique Ter Horst, 2014. "A Bayesian Beta Markov Random Field calibration of the term structure of implied risk neutral densities," Working Papers 2014:22, Department of Economics, University of Venice "Ca' Foscari".
    30. Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.
    31. Marco Del Negro & Raiden B. Hasegawa & Frank Schorfheide, 2014. "Dynamic Prediction Pools: An Investigation of Financial Frictions and Forecasting Performance," PIER Working Paper Archive 14-034, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    32. Wang, Shengjie & Kang, Yanfei & Petropoulos, Fotios, 2024. "Combining probabilistic forecasts of intermittent demand," European Journal of Operational Research, Elsevier, vol. 315(3), pages 1038-1048.
    33. Jin, Xin & Maheu, John M. & Yang, Qiao, 2022. "Infinite Markov pooling of predictive distributions," Journal of Econometrics, Elsevier, vol. 228(2), pages 302-321.
    34. Roberto Casarin & Giulia Mantoan & Francesco Ravazzolo, 2016. "Bayesian Calibration of Generalized Pools of Predictive Distributions," Econometrics, MDPI, vol. 4(1), pages 1-24, March.
    35. McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
    36. Berrisch, Jonathan & Ziel, Florian, 2023. "CRPS learning," Journal of Econometrics, Elsevier, vol. 237(2).
    37. Peter McAdam & Anders Warne, 2024. "Density forecast combinations: The real‐time dimension," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(5), pages 1153-1172, August.
    38. Lan Bai & Xiafei Li & Yu Wei & Guiwu Wei, 2022. "Does crude oil futures price really help to predict spot oil price? New evidence from density forecasting," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3694-3712, July.
    39. Stavroula P. Fameliti & Vasiliki D. Skintzi, 2020. "Predictive ability and economic gains from volatility forecast combinations," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 200-219, March.
    40. Malte Knüppel & Fabian Krüger, 2022. "Forecast uncertainty, disagreement, and the linear pool," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(1), pages 23-41, January.
    41. K=osaku Takanashi & Kenichiro McAlinn, 2019. "Equivariant online predictions of non-stationary time series," Papers 1911.08662, arXiv.org, revised Jun 2023.

  7. Giraitis, Liudas & Kapetanios, George & Price, Simon, 2014. "Adaptive forecasting in the presence of recent and ongoing structural change," Bank of England working papers 490, Bank of England.

    Cited by:

    1. Duncan, Roberto & Martínez-García, Enrique, 2019. "New perspectives on forecasting inflation in emerging market economies: An empirical assessment," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
    2. Luca Nocciola, "undated". "Finite sample forecast properties and window length under breaks in cointegrated systems," Discussion Papers 19/07, University of Nottingham, Granger Centre for Time Series Econometrics.
    3. Fabio Busetti & Pietro Cova & Antonio Maria Conti & Filippo Scoccianti & Libero Monteforte & Giordano Zevi & Valentina Aprigliano & Andrea Gerali & Alberto Locarno & Alessandro Notarpietro & Massimili, 2014. "The effects of the crisis on production potential and household spending in Italy," Workshop and Conferences 18, Bank of Italy, Economic Research and International Relations Area.
    4. Philip Hans Franses & Eva Janssens, 2018. "This Time It Is Different! Or Not? Discounting Past Data When Predicting The Future," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-34, June.
    5. Marcellino, Massimiliano & Kapetanios, George & Dendramis, Yiannis, 2020. "A Similarity-based Approach for Macroeconomic Forecasting," CEPR Discussion Papers 14469, C.E.P.R. Discussion Papers.
    6. Petrova, Katerina, 2019. "A quasi-Bayesian local likelihood approach to time varying parameter VAR models," Journal of Econometrics, Elsevier, vol. 212(1), pages 286-306.
    7. Khowaja, Kainat & Saef, Danial & Sizov, Sergej & Härdle, Wolfgang Karl, 2020. "Data Analytics Driven Controlling: bridging statistical modeling and managerial intuition," IRTG 1792 Discussion Papers 2020-026, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    8. Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Bayesian Local Likelihood Method for Modelling Parameter Time Variation in DSGE Models," Working Papers 770, Queen Mary University of London, School of Economics and Finance.
    9. Jana Eklund & George Kapetanios & Simon Price, 2013. "Robust Forecast Methods and Monitoring during Structural Change," Manchester School, University of Manchester, vol. 81, pages 3-27, October.
    10. Hännikäinen, Jari, 2015. "Selection of an estimation window in the presence of data revisions and recent structural breaks," MPRA Paper 66759, University Library of Munich, Germany.
    11. Davide De Gaetano, 2018. "Forecast Combinations in the Presence of Structural Breaks: Evidence from U.S. Equity Markets," Mathematics, MDPI, vol. 6(3), pages 1-19, March.
    12. Kapetanios, George & Price, Simon & Young, Garry, 2017. "A UK financial conditions index using targeted data reduction: forecasting and structural identification," Bank of England working papers 699, Bank of England.
    13. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    14. Dungey, Mardi & Jacobs, Jan P.A.M. & Tian, Jing, 2016. "Forecasting output gaps in the G-7 countries: The role of correlated Innovations and structural breaks," Working Papers 2016-04, University of Tasmania, Tasmanian School of Business and Economics.
    15. Davide De Gaetano, 2017. "Forecasting With Garch Models Under Structural Breaks: An Approach Based On Combinations Across Estimation Windows," Departmental Working Papers of Economics - University 'Roma Tre' 0219, Department of Economics - University Roma Tre.
    16. Marcellino, Massimiliano & Aastveit, Knut Are & Carriero, Andrea & Clark, Todd, 2016. "Have Standard VARs Remained Stable Since the Crisis?," CEPR Discussion Papers 11558, C.E.P.R. Discussion Papers.
    17. George Kapetanios & Massimiliano Marcellino & Fabrizio Venditti, 2019. "Large time‐varying parameter VARs: A nonparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1027-1049, November.
    18. Jan J.J. Groen & George Kapetanios, 2008. "Revisiting Useful Approaches to Data-Rich Macroeconomic Forecasting," Working Papers 624, Queen Mary University of London, School of Economics and Finance.
    19. Yongchen Zhao, 2021. "The robustness of forecast combination in unstable environments: a Monte Carlo study of advanced algorithms," Empirical Economics, Springer, vol. 61(1), pages 173-199, July.
    20. Papantonis Ioannis & Rompolis Leonidas S. & Tzavalis Elias & Agapitos Orestis, 2023. "Augmenting the Realized-GARCH: the role of signed-jumps, attenuation-biases and long-memory effects," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 27(2), pages 171-198, April.
    21. Raffaella Giacomini & Barbara Rossi, 2015. "Forecasting in Nonstationary Environments: What Works and What Doesn't in Reduced-Form and Structural Models," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 207-229, August.
    22. Franses, Ph.H.B.F. & Janssens, E., 2017. "This time it is different! Or not?," Econometric Institute Research Papers EI2017-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    23. Andre Jungmittag, 2016. "Combination of Forecasts across Estimation Windows: An Application to Air Travel Demand," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 35(4), pages 373-380, July.
    24. Giulia Bovini & Eliana Viviano, 2018. "The Italian "employment-rich" recovery: a closer look," Questioni di Economia e Finanza (Occasional Papers) 461, Bank of Italy, Economic Research and International Relations Area.
    25. Papantonis, Ioannis & Rompolis, Leonidas & Tzavalis, Elias, 2023. "Improving variance forecasts: The role of Realized Variance features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1221-1237.
    26. Mariia Artemova & Francisco Blasques & Siem Jan Koopman & Zhaokun Zhang, 2021. "Forecasting in a changing world: from the great recession to the COVID-19 pandemic," Tinbergen Institute Discussion Papers 21-006/III, Tinbergen Institute.
    27. Andrew B. Martinez & Jennifer L. Castle & David F. Hendry, 2022. "Smooth Robust Multi-Horizon Forecasts," Advances in Econometrics, in: Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling, volume 43, pages 143-165, Emerald Group Publishing Limited.
    28. Guido BUlligan & Eliana Viviano, 2016. "Has the wage Phillips curve changed in the euro area?," Questioni di Economia e Finanza (Occasional Papers) 355, Bank of Italy, Economic Research and International Relations Area.
    29. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    30. Dendramis, Y. & Tzavalis, E. & Varthalitis, P. & Athanasiou, E., 2020. "Predicting default risk under asymmetric binary link functions," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1039-1056.
    31. Pablo Guerróon‐Quintana & Molin Zhong, 2023. "Macroeconomic forecasting in times of crises," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(3), pages 295-320, April.
    32. Rossi, Barbara & Inoue, Atsushi & Jin, Lu, 2014. "Window Selection for Out-of-Sample Forecasting with Time-Varying Parameters," CEPR Discussion Papers 10168, C.E.P.R. Discussion Papers.
    33. Kley, Tobias & Preuss, Philip & Fryzlewicz, Piotr, 2019. "Predictive, finite-sample model choice for time series under stationarity and non-stationarity," LSE Research Online Documents on Economics 101748, London School of Economics and Political Science, LSE Library.
    34. Inoue, Atsushi & Jin, Lu & Rossi, Barbara, 2017. "Rolling window selection for out-of-sample forecasting with time-varying parameters," Journal of Econometrics, Elsevier, vol. 196(1), pages 55-67.
    35. Hirano, Keisuke & Wright, Jonathan H., 2022. "Analyzing cross-validation for forecasting with structural instability," Journal of Econometrics, Elsevier, vol. 226(1), pages 139-154.
    36. Wang, Yudong & Hao, Xianfeng & Wu, Chongfeng, 2021. "Forecasting stock returns: A time-dependent weighted least squares approach," Journal of Financial Markets, Elsevier, vol. 53(C).
    37. Atsushi Inoue, 2015. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(1), pages 9-11, January.
    38. Marianna Riggi & Fabrizio Venditti, 2014. "Surprise! Euro area inflation has fallen," Questioni di Economia e Finanza (Occasional Papers) 237, Bank of Italy, Economic Research and International Relations Area.
    39. Stephen G. Hall & George S. Tavlas & Yongli Wang & Deborah Gefang, 2024. "Inflation forecasting with rolling windows: An appraisal," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(4), pages 827-851, July.
    40. Yousuf, Kashif & Ng, Serena, 2021. "Boosting high dimensional predictive regressions with time varying parameters," Journal of Econometrics, Elsevier, vol. 224(1), pages 60-87.
    41. Giraitis, Liudas & Kapetanios, George & Theodoridis, Konstantinos & Yates, Tony, 2014. "Estimating time-varying DSGE models using minimum distance methods," Bank of England working papers 507, Bank of England.
    42. Dendramis, Y. & Tzavalis, E. & Adraktas, G., 2018. "Credit risk modelling under recessionary and financially distressed conditions," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 160-175.
    43. Khowaja Kainat & Saef Danial & Sizov Sergej & Härdle Wolfgang Karl, 2024. "Scenario based merger & acquisition forecasting," Management & Marketing, Sciendo, vol. 19(4), pages 579-600.
    44. Zhang, Xingmin & Zhang, Shuai, 2021. "Optimal time-varying tail risk network with a rolling window approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).

  8. Eklund, Jana & Kapetanios, George & Price, Simon, 2010. "Forecasting in the presence of recent structural change," Bank of England working papers 406, Bank of England.

    Cited by:

    1. Natalia Bailey & George Kapetanios & M. Hashem Pesaran, 2012. "Exponent of Cross-sectional Dependence: Estimation and Inference," CESifo Working Paper Series 3722, CESifo.
    2. Kirdan Lees, 2009. "Overview of a recent Reserve Bank workshop: nowcasting with model combination," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 72, pages 31-33, March.
    3. Marcellino, Massimiliano & Kapetanios, George & Dendramis, Yiannis, 2020. "A Similarity-based Approach for Macroeconomic Forecasting," CEPR Discussion Papers 14469, C.E.P.R. Discussion Papers.
    4. Giraitis, Liudas & Kapetanios, George & Price, Simon, 2014. "Adaptive forecasting in the presence of recent and ongoing structural change," Bank of England working papers 490, Bank of England.
    5. Jana Eklund & George Kapetanios & Simon Price, 2013. "Robust Forecast Methods and Monitoring during Structural Change," Manchester School, University of Manchester, vol. 81, pages 3-27, October.
    6. Luc Bauwens & Gary Koop & Dimitris Korobilis & Jeroen Rombouts, 2011. "A comparison of Forecasting Procedures for Macroeconomic Series: The Contribution of Structural Break Models," Working Papers 1113, University of Strathclyde Business School, Department of Economics.
    7. Barnett, Alina & Mumtaz, Haroon & Theodoridis, Konstantinos, 2012. "Forecasting UK GDP growth, inflation and interest rates under structural change: a comparison of models with time-varying parameters," Bank of England working papers 450, Bank of England.
    8. Vipin Arora and Jozef Lieskovsky, 2014. "Natural Gas and U.S. Economic Activity," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    9. Tian, Jing & Anderson, Heather M., 2014. "Forecast combinations under structural break uncertainty," International Journal of Forecasting, Elsevier, vol. 30(1), pages 161-175.
    10. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.

  9. Groen, Jan J J & Kapetanios, George & Price, Simon, 2009. "Multivariate methods for monitoring structural change," Bank of England working papers 369, Bank of England.

    Cited by:

    1. S. O. Tickle & I. A. Eckley & P. Fearnhead, 2021. "A computationally efficient, high‐dimensional multiple changepoint procedure with application to global terrorism incidence," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1303-1325, October.
    2. Jana Eklund & George Kapetanios & Simon Price, 2013. "Robust Forecast Methods and Monitoring during Structural Change," Manchester School, University of Manchester, vol. 81, pages 3-27, October.
    3. Matteo Barigozzi & Lorenzo Trapani, 2018. "Sequential testing for structural stability in approximate factor models," Discussion Papers 18/04, University of Nottingham, Granger Centre for Time Series Econometrics.
    4. Barigozzi, Matteo & Cho, Haeran & Fryzlewicz, Piotr, 2018. "Simultaneous multiple change-point and factor analysis for high-dimensional time series," LSE Research Online Documents on Economics 88110, London School of Economics and Political Science, LSE Library.
    5. Eklund, J. & Kapetanios, G. & Price, S., 2011. "Forecasting in the presence of recent structural change," Working Papers 11/05, Department of Economics, City University London.
    6. Lorenzo Trapani & Emily Whitehouse, 2020. "Sequential monitoring for cointegrating regressions," Papers 2003.12182, arXiv.org.
    7. KUROZUMI, Eiji & 黒住, 英司, 2016. "Monitoring Parameter Constancy with Endogenous Regressors," Discussion Papers 2016-01, Graduate School of Economics, Hitotsubashi University.
    8. Pape, Katharina & Wied, Dominik & Galeano, Pedro, 2016. "Monitoring multivariate variance changes," Journal of Empirical Finance, Elsevier, vol. 39(PA), pages 54-68.
    9. Chiu, Ching-Wai (Jeremy) & Hayes, Simon & Kapetanios, George & Theodoridis, Konstantinos, 2019. "A new approach for detecting shifts in forecast accuracy," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1596-1612.
    10. Pierre Perron & Eduardo Zorita & Eiji Kurozumi, 2017. "Monitoring Parameter Constancy with Endogenous Regressors," Journal of Time Series Analysis, Wiley Blackwell, vol. 38(5), pages 791-805, September.
    11. Zdeněk Hlávka & Marie Hušková & Simos G. Meintanis, 2020. "Change-point methods for multivariate time-series: paired vectorial observations," Statistical Papers, Springer, vol. 61(4), pages 1351-1383, August.

  10. Barnes, Sebastian & Price, Simon & Sebastia Barriel, Maria, 2008. "The elasticity of substitution: evidence from a UK firm-level data set," Bank of England working papers 348, Bank of England.

    Cited by:

    1. Chirinko, Robert S., 2008. "[sigma]: The long and short of it," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 671-686, June.
    2. Lecca, Patrizio & McGregor, Peter G. & Swales, Kim J. & Tamba, Marie, 2017. "The Importance of Learning for Achieving the UK's Targets for Offshore Wind," Ecological Economics, Elsevier, vol. 135(C), pages 259-268.
    3. Richiardi, Matteo & Valenzuela, Luis, 2019. "Firm Heterogeneity and the Aggregate Labour Share," INET Oxford Working Papers 2019-08, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    4. Christopher Tsoukis & Frederic Tournemaine, 2011. "Social Conflict, Growth And Factor Shares," Metroeconomica, Wiley Blackwell, vol. 62(2), pages 283-304, May.
    5. Pouliakas, Konstantinos & Roberts, Deborah & Balamou, Eudokia & Psaltopoulos, Dimitris, 2008. "Modelling the Effects of Immigration on Regional Economic Performance and the Wage Distribution: A CGE Analysis of Three EU Regions," MPRA Paper 14157, University Library of Munich, Germany.
    6. Miles, David & Yang, Jing & Marcheggiano, Gilberto, 2011. "Optimal Bank Capital," CEPR Discussion Papers 8333, C.E.P.R. Discussion Papers.
    7. Nicholas Oulton & María Sebastiá-Barriel, 2013. "Long and Short-Term Effects of the Financial Crisis on Labour Productivity, Capital and Output," CEP Discussion Papers dp1185, Centre for Economic Performance, LSE.
    8. Nicholas Oulton, 2013. "Medium and long run prospects for UK growth in the aftermath of the financial crisis," Discussion Papers 1307, Centre for Macroeconomics (CFM).
    9. Robert S. Chirinko, 2008. "ó: The Long And Short Of It," CESifo Working Paper Series 2234, CESifo.
    10. Akaev, Askar & Devezas, Tessaleno & Ichkitidze, Yuri & Sarygulov, Askar, 2021. "Forecasting the labor intensity and labor income share for G7 countries in the digital age," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    11. Ezra Oberfield & Devesh Raval, 2021. "Micro Data and Macro Technology," Econometrica, Econometric Society, vol. 89(2), pages 703-732, March.
    12. Sumera Anis & Abdul Rashid, 2017. "Optimal Bank Capital And Impact Of The Mm Theorem: A Study Of The Pakistani Financial Sector," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(02), pages 1-21, June.
    13. Matteo F. Ghilardi & Raffaele Rossi, 2014. "Aggregate Stability and Balanced‐Budget Rules," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(8), pages 1787-1809, December.
    14. André Cieplinski, 2017. "Employee Control, Work Content and Wages," Department of Economics University of Siena 775, Department of Economics, University of Siena.
    15. Leblebicioglu, Asli & Weinberger, Ariel, 2018. "Openness and Factor Shares: Is Globalization Always Bad for Labor?," MPRA Paper 90270, University Library of Munich, Germany.
    16. Lynne Cockerell & Steven Pennings, 2007. "Private Business Investment in Australia," RBA Research Discussion Papers rdp2007-09, Reserve Bank of Australia.
    17. Junge, Georg & Kugler, Peter, 2017. "Optimal equity capital requirements for Swiss G-SIBs," Working papers 2017/11, Faculty of Business and Economics - University of Basel.
    18. Wemy, Edouard, 2021. "Capital-labor substitution elasticity: A simulated method of moments approach," Economic Modelling, Elsevier, vol. 97(C), pages 14-44.
    19. Konstantinos Pouliakas & Deborah Roberts & Eudokia Balamou & Dimitris Psaltopoulos, 2014. "Modelling the Effects of Immigration on Regional Economic Performance and Wage Distribution: A Computable General Equilibrium (CGE) Analysis of Three European Union Regions," Regional Studies, Taylor & Francis Journals, vol. 48(2), pages 318-338, February.
    20. Jane Gravelle, 2010. "Economic Effects of Investment Subsidies," Chapters, in: Iris Claus & Norman Gemmell & Michelle Harding & David White (ed.), Tax Reform in Open Economies, chapter 3, Edward Elgar Publishing.
    21. Euan Phimister & Deborah Roberts, 2012. "The Role of Ownership in Determining the Rural Economic Benefits of On-shore Wind Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(2), pages 331-360, June.
    22. Jochen Schanz & David Aikman & Paul Collazos & Marc Farag & David Gregory & Sujit Kapadia, 2011. "The long-term economic impact of higher capital levels," BIS Papers chapters, in: Bank for International Settlements (ed.), Macroprudential regulation and policy, volume 60, pages 73-81, Bank for International Settlements.
    23. Oulton, Nicholas & Sebastiá-Barriel, María, 2017. "Effects of financial crises on productivity, capital and employment," LSE Research Online Documents on Economics 68541, London School of Economics and Political Science, LSE Library.
    24. Robert Rowthorn, 2014. "A Note on Piketty's Capital in the Twenty-First Century," Working Papers wp462, Centre for Business Research, University of Cambridge.
    25. Georg Junge & Peter Kugler, 2018. "Optimal equity capital requirements for large Swiss banks," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-21, December.

  11. George Kapetanios & Vincent Labhard & Simon Price, 2007. "Forecast combination and the Bank of England’s suite of statistical forecasting models," Bank of England working papers 323, Bank of England.

    Cited by:

    1. Sigal Ribon, 2011. "The Effect of Monetary Policy on Inflation: A Factor Augmented VAR Approach using disaggregated data," Bank of Israel Working Papers 2011.12, Bank of Israel.
    2. Bell, Venetia & Co, Lai Wah & Stone, Sophie & Wallis, gavin`, 2014. "Nowcasting UK GDP growth," Bank of England Quarterly Bulletin, Bank of England, vol. 54(1), pages 58-68.
    3. Shahzad Ahmad & Farooq Pasha, 2015. "A Pragmatic Model for Monetary Policy Analysis I: The Case of Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 11, pages 1-42.
    4. Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2012. "Does Forecast Combination Improve Norges Bank Inflation Forecasts?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 163-179, April.
    5. Eliana González & . Luis F. Melo & Viviana Monroy & Brayan Rojas, 2009. "A Dynamic Factor Model for the Colombian Inflation," Borradores de Economia 549, Banco de la Republica de Colombia.
    6. Michael K. Andersson & Sune Karlsson, 2008. "Bayesian forecast combination for VAR models," Advances in Econometrics, in: Bayesian Econometrics, pages 501-524, Emerald Group Publishing Limited.
    7. Boneva, Lena & Fawcett, Nicholas & Masolo, Riccardo M. & Waldron, Matt, 2019. "Forecasting the UK economy: Alternative forecasting methodologies and the role of off-model information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 100-120.
    8. Goutsmedt, Aurélien & Sergi, Francesco & Cherrier, Beatrice & Claveau, François & Fontan, Clément & Acosta, Juan, 2023. "To change or not to change The evolution of forecasting models at the Bank of England," SocArXiv m2cet, Center for Open Science.
    9. Andrejs Bessonovs, 2015. "Suite of Latvia's GDP forecasting models," Working Papers 2015/01, Latvijas Banka.
    10. Adam Jêdrzejczyk, 2012. "Inflation forecasting using dynamic factor analysis. SAS 4GL programming approach," Working Papers 63, Department of Applied Econometrics, Warsaw School of Economics.
    11. Antoine Mandel & Amir Sani, 2017. "A Machine Learning Approach to the Forecast Combination Puzzle," Working Papers halshs-01317974, HAL.
    12. Kurmas Akdogan & Selen Baser & Meltem Gulenay Chadwick & Dilara Ertug & Timur Hulagu & Sevim Kosem & Fethi Ogunc & M. Utku Ozmen & Necati Tekatli, 2012. "Short-Term Inflation Forecasting Models For Turkey and a Forecast Combination Analysis," Working Papers 1209, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    13. Phella, Anthoulla & Gabriel, Vasco J. & Martins, Luis F., 2024. "Predicting tail risks and the evolution of temperatures," Energy Economics, Elsevier, vol. 131(C).
    14. Chris Bloor, 2009. "The use of statistical forecasting models at the Reserve Bank of New Zealand," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 72, pages 21-26, June.
    15. Christian Glocker & Serguei Kaniovski, 2022. "Macroeconometric forecasting using a cluster of dynamic factor models," Empirical Economics, Springer, vol. 63(1), pages 43-91, July.
    16. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2013. "Property Market Modelling and Forecasting: A Case for Simplicity," ERES eres2013_10, European Real Estate Society (ERES).
    17. Marie Diron & Benoit Mojon, 2008. "Are inflation targets good inflation forecasts?," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 32(Q II), pages 33-45.
    18. Kuzin, Vladimir N. & Marcellino, Massimiliano & Schumacher, Christian, 2009. "Pooling versus model selection for nowcasting with many predictors: an application to German GDP," Discussion Paper Series 1: Economic Studies 2009,03, Deutsche Bundesbank.
    19. João Henrique Gonçalves Mazzeu & Esther Ruiz & Helena Veiga, 2018. "Uncertainty And Density Forecasts Of Arma Models: Comparison Of Asymptotic, Bayesian, And Bootstrap Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 388-419, April.
    20. Marian Vavra, 2015. "On a Bootstrap Test for Forecast Evaluations," Working and Discussion Papers WP 5/2015, Research Department, National Bank of Slovakia.
    21. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP1," Working Papers 333, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    22. Goodness C. Aye & Mehmet Balcilar Author-Name-First Mehmet & Rangan Gupta & Anandamayee Majumdar, 2014. "Forecasting Aggregate Retail Sales: The Case of South Africa," Working Papers 15-21, Eastern Mediterranean University, Department of Economics.
    23. Tony Chernis & Taylor Webley, 2022. "Nowcasting Canadian GDP with Density Combinations," Discussion Papers 2022-12, Bank of Canada.
    24. Diron, Marie & Mojon, Benoît, 2005. "Forecasting the central bank's inflation objective is a good rule of thumb," Working Paper Series 564, European Central Bank.
    25. Charalampos Stasinakis & Georgios Sermpinis & Konstantinos Theofilatos & Andreas Karathanasopoulos, 2016. "Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 47(4), pages 569-587, April.
    26. Juan Acosta & Beatrice Cherrier & François Claveau & Clément Fontan & Aurélien Goutsmedt & Francesco Sergi, 2023. "Six Decades of Economic Research at the Bank of England," Post-Print hal-03919394, HAL.
    27. Katerina Arnostova & David Havrlant & Luboš Rùžièka & Peter Tóth, 2011. "Short-Term Forecasting of Czech Quarterly GDP Using Monthly Indicators," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(6), pages 566-583, December.
    28. Boriss Siliverstovs, 2015. "Dissecting Models' Forecasting Performance," KOF Working papers 15-397, KOF Swiss Economic Institute, ETH Zurich.
    29. Anh Dinh Minh Nguyen, 2017. "U.K. Monetary Policy under Inflation Targeting," Bank of Lithuania Working Paper Series 41, Bank of Lithuania.
    30. Zhang, Xinyu & Wan, Alan T.K. & Zou, Guohua, 2013. "Model averaging by jackknife criterion in models with dependent data," Journal of Econometrics, Elsevier, vol. 174(2), pages 82-94.
    31. Li, Z. & Hurn, A.S. & Clements, A.E., 2017. "Forecasting quantiles of day-ahead electricity load," Energy Economics, Elsevier, vol. 67(C), pages 60-71.
    32. Gary Koop & Dimitris Korompilis, 2009. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," Working Papers 0917, University of Strathclyde Business School, Department of Economics.
    33. Hanif, Muhammad Nadim & Malik, Muhammad Jahanzeb, 2015. "Evaluating Performance of Inflation Forecasting Models of Pakistan," MPRA Paper 66843, University Library of Munich, Germany.
    34. Hyun Hak Kim, 2013. "Forecasting Macroeconomic Variables Using Data Dimension Reduction Methods: The Case of Korea," Working Papers 2013-26, Economic Research Institute, Bank of Korea.
    35. Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019. "An analysis of the Eurosystem/ECB projections," Working Paper Series 2291, European Central Bank.
    36. Domit, Sílvia & Monti, Francesca & Sokol, Andrej, 2019. "Forecasting the UK economy with a medium-scale Bayesian VAR," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1669-1678.
    37. Altavilla, Carlo & Ciccarelli, Matteo, 2010. "Evaluating the effect of monetary policy on unemployment with alternative inflation forecasts," Economic Modelling, Elsevier, vol. 27(1), pages 237-253, January.
    38. Massimiliano Marcellino & Christian Schumacher, 2008. "Factor-MIDAS for Now- and Forecasting with Ragged-Edge Data: A Model Comparison for German GDP," Economics Working Papers ECO2008/16, European University Institute.
    39. Antoine Mandel & Amir Sani, 2016. "Learning Time-Varying Forecast Combinations," Documents de travail du Centre d'Economie de la Sorbonne 16036r, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, revised Sep 2016.
    40. Chris Florakis & Gianluigi Giorgioni & Alexandros Kostakis & Costas Milas, 2012. "The Impact of Stock Market Illiquidity on Real UK GDP Growth," Working Paper series 65_12, Rimini Centre for Economic Analysis.
    41. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    42. Selen Baser Andic & Fethi Ogunc, 2015. "Variable Selection for Inflation : A Pseudo Out-of-sample Approach," Working Papers 1506, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    43. Meri Papavangjeli, 2019. "Forecasting the Albanian short-term inflation through a Bayesian VAR model," IHEID Working Papers 16-2019, Economics Section, The Graduate Institute of International Studies, revised 09 Oct 2019.
    44. Fabio Bacchini & Cristina Brandimarte & Piero Crivelli & Roberta De Santis & Marco Fioramanti & Alessandro Girardi & Roberto Golinelli & Cecilia Jona-Lasinio & Massimo Mancini & Carmine Pappalardo & D, 2013. "Building the core of the Istat system of models for forecasting the Italian economy: MeMo-It," Rivista di statistica ufficiale, ISTAT - Italian National Institute of Statistics - (Rome, ITALY), vol. 15(1), pages 17-45.
    45. Georgios Papadopoulos & Dionysios Chionis & Nikolaos P. Rachaniotis, 2018. "Macro-financial linkages during tranquil and crisis periods: evidence from stressed economies," Risk Management, Palgrave Macmillan, vol. 20(2), pages 142-166, May.
    46. Reason Lesego Machete, 2011. "Early Warning with Calibrated and Sharper Probabilistic Forecasts," Papers 1112.6390, arXiv.org, revised Jan 2012.
    47. Groen, Jan J.J. & Kapetanios, George & Price, Simon, 2009. "A real time evaluation of Bank of England forecasts of inflation and growth," International Journal of Forecasting, Elsevier, vol. 25(1), pages 74-80.
    48. Schumacher Christian, 2011. "Forecasting with Factor Models Estimated on Large Datasets: A Review of the Recent Literature and Evidence for German GDP," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 231(1), pages 28-49, February.
    49. Fawcett, Nicholas & Koerber, Lena & Masolo, Riccardo & Waldron, Matthew, 2015. "Evaluating UK point and density forecasts from an estimated DSGE model: the role of off-model information over the financial crisis," Bank of England working papers 538, Bank of England.
    50. Fayyaz Hussain & Zafar Hayat, 2016. "Do Inflation Expectations Matter for Inflation Forecastability: Evidence from Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(3), pages 211-225.
    51. Barbaglia, Luca & Frattarolo, Lorenzo & Onorante, Luca & Pericoli, Filippo Maria & Ratto, Marco & Tiozzo Pezzoli, Luca, 2022. "Testing big data in a big crisis: Nowcasting under COVID-19," JRC Working Papers in Economics and Finance 2022-06, Joint Research Centre, European Commission.
    52. Anthoulla Phella, 2020. "Forecasting With Factor-Augmented Quantile Autoregressions: A Model Averaging Approach," Papers 2010.12263, arXiv.org.
    53. Massimiliano Marcellino & Christian Schumacher, 2010. "Factor MIDAS for Nowcasting and Forecasting with Ragged‐Edge Data: A Model Comparison for German GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 518-550, August.
    54. Byron Botha & Geordie Reid & Tim Olds & Daan Steenkamp & Rossouw van Jaarsveld, 2021. "Nowcasting South African GDP using a suite of statistical models," Working Papers 11001, South African Reserve Bank.
    55. Kurmaş Akdoğan, 2015. "Asymmetric Behaviour of Inflation around the Target in Inflation-Targeting Countries," Scottish Journal of Political Economy, Scottish Economic Society, vol. 62(5), pages 486-504, November.
    56. Arora Siddharth & Little Max A. & McSharry Patrick E., 2013. "Nonlinear and nonparametric modeling approaches for probabilistic forecasting of the US gross national product," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(4), pages 395-420, September.
    57. Florackis, Chris & Giorgioni, Gianluigi & Kostakis, Alexandros & Milas, Costas, 2014. "On stock market illiquidity and real-time GDP growth," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 210-229.
    58. Davor Kunovac, 2007. "Factor Model Forecasting of Inflation in Croatia," Financial Theory and Practice, Institute of Public Finance, vol. 31(4), pages 371-393.
    59. Arvydas Jadevicius & Brian Sloan & Andrew Brown, 2012. "Examination of property forecasting models - accuracy and its improvement through combination forecasting," ERES eres2012_082, European Real Estate Society (ERES).
    60. Byron Botha & Tim Olds & Geordie Reid & Daan Steenkamp & Rossouw van Jaarsveld, 2021. "Nowcasting South African gross domestic product using a suite of statistical models," South African Journal of Economics, Economic Society of South Africa, vol. 89(4), pages 526-554, December.

  12. George Kapetanios & Vincent Labhard & Simon Price, 2006. "Forecasting Using Predictive Likelihood Model Averaging," Working Papers 567, Queen Mary University of London, School of Economics and Finance.

    Cited by:

    1. Luis F. Melo Velandia & Rubén A. Loaiza Maya & Mauricio Villamizar-Villegas, 2014. "Bayesian Combination for Inflation Forecasts: The Effects of a Prior Based on Central Banks’ Estimates," Borradores de Economia 853, Banco de la Republica de Colombia.
    2. Boneva, Lena & Fawcett, Nicholas & Masolo, Riccardo M. & Waldron, Matt, 2019. "Forecasting the UK economy: Alternative forecasting methodologies and the role of off-model information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 100-120.
    3. Goutsmedt, Aurélien & Sergi, Francesco & Cherrier, Beatrice & Claveau, François & Fontan, Clément & Acosta, Juan, 2023. "To change or not to change The evolution of forecasting models at the Bank of England," SocArXiv m2cet, Center for Open Science.
    4. Giraitis, Liudas & Kapetanios, George & Price, Simon, 2014. "Adaptive forecasting in the presence of recent and ongoing structural change," Bank of England working papers 490, Bank of England.
    5. Marie Bessec & Julien Fouquau & Sophie Meritet, 2014. "Forecasting electricity spot prices using time-series models with a double temporal segmentation," Working Papers 2014-588, Department of Research, Ipag Business School.
    6. Kurmas Akdogan & Selen Baser & Meltem Gulenay Chadwick & Dilara Ertug & Timur Hulagu & Sevim Kosem & Fethi Ogunc & M. Utku Ozmen & Necati Tekatli, 2012. "Short-Term Inflation Forecasting Models For Turkey and a Forecast Combination Analysis," Working Papers 1209, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    7. George Kapetanios & Vincent Labhard & Simon Price, 2007. "Forecast combination and the Bank of England’s suite of statistical forecasting models," Bank of England working papers 323, Bank of England.
    8. Ando, Tomohiro & Tsay, Ruey, 2010. "Predictive likelihood for Bayesian model selection and averaging," International Journal of Forecasting, Elsevier, vol. 26(4), pages 744-763, October.
    9. Aman Ullah & Huansha Wang, 2013. "Parametric and Nonparametric Frequentist Model Selection and Model Averaging," Econometrics, MDPI, vol. 1(2), pages 1-23, September.
    10. Eliana González, 2010. "Bayesian Model Averaging. An Application to Forecast Inflation in Colombia," Borradores de Economia 7015, Banco de la Republica.
    11. Leandro Maciel, 2013. "A Hybrid Fuzzy GJR-GARCH Modeling Approach for Stock Market Volatility Forecasting," Palgrave Macmillan Books, in: Jonathan A. Batten & Peter MacKay & Niklas Wagner (ed.), Advances in Financial Risk Management, chapter 11, pages 253-283, Palgrave Macmillan.
    12. Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge & Wieland, Volker, 2017. "Model uncertainty in macroeconomics: On the implications of financial frictions," IMFS Working Paper Series 114, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    13. Binder, Michael & Lieberknecht, Philipp & Quintana, Jorge & Wieland, Volker, 2018. "Robust Macroprudential Policy Rules under Model Uncertainty," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181503, Verein für Socialpolitik / German Economic Association.
    14. David Bolder & Yuliya Romanyuk, 2008. "Combining Canadian Interest-Rate Forecasts," Staff Working Papers 08-34, Bank of Canada.
    15. Burgess, Stephen & Fernandez-Corugedo, Emilio & Groth, Charlotta & Harrison, Richard & Monti, Francesca & Theodoridis, Konstantinos & Waldron, Matt, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.
    16. Florian Martin & Jesús Crespo Cuaresma, 2017. "Weighting schemes in global VAR modelling: a forecasting exercise," Letters in Spatial and Resource Sciences, Springer, vol. 10(1), pages 45-56, March.
    17. Jana Eklund & George Kapetanios, 2008. "A Review of Forecasting Techniques for Large Data Sets," Working Papers 625, Queen Mary University of London, School of Economics and Finance.

  13. Simon Price & Christoph Schleicher, 2006. "Returns to equity, investment and Q: evidence from the United Kingdom," Bank of England working papers 310, Bank of England.

    Cited by:

    1. Gallegati, Marco & Ramsey, James B., 2014. "The forward looking information content of equity and bond markets for aggregate investments," Journal of Economics and Business, Elsevier, vol. 75(C), pages 1-24.

  14. George Kapetanios & Vincent Labhard & Simon Price, 2005. "Forecasting using Bayesian and information theoretic model averaging: an application to UK inflation," Bank of England working papers 268, Bank of England.

    Cited by:

    1. Maurin, Laurent & Drechsel, Katja, 2008. "Flow of conjunctural information and forecast of euro area economic activity," Working Paper Series 925, European Central Bank.
    2. Bouckaert, Nicolas & Van den Heede, Koen & Van de Voorde, Carine, 2018. "Improving the forecasting of hospital services: A comparison between projections and actual utilization of hospital services," Health Policy, Elsevier, vol. 122(7), pages 728-736.
    3. Winkelried, Diego, 2012. "Predicting quarterly aggregates with monthly indicators," Working Papers 2012-023, Banco Central de Reserva del Perú.
    4. Hilde C. Bjørnland & Karsten Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2012. "Does Forecast Combination Improve Norges Bank Inflation Forecasts?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 163-179, April.
    5. Ivan Savin, 2010. "A comparative study of the Lasso-type and heuristic model selection methods," Working Papers 042, COMISEF.
    6. Luis F. Melo Velandia & Rubén A. Loaiza Maya & Mauricio Villamizar-Villegas, 2014. "Bayesian Combination for Inflation Forecasts: The Effects of a Prior Based on Central Banks’ Estimates," Borradores de Economia 853, Banco de la Republica de Colombia.
    7. Schwarzmüller, Tim, 2015. "Model pooling and changes in the informational content of predictors: An empirical investigation for the euro area," Kiel Working Papers 1982, Kiel Institute for the World Economy (IfW Kiel).
    8. Todd E. Clark & Michael W. McCracken, 2010. "Averaging forecasts from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29.
    9. Cogley, Timothy & De Paoli, Bianca & Matthes, Christian & Nikolov, Kalin & Yates, Tony, 2011. "A Bayesian approach to optimal monetary policy with parameter and model uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2186-2212.
    10. Ekaterina V. Astafyeva & Maria Yu. Turuntseva, 2023. "Analysis of Opportunities to Improve the Quality of Natural Resource Price by Combining Forecasts Resulting from Methods Based on Regression Estimates of Weights [Анализ Возможностей Улучшения Каче," Russian Economic Development, Gaidar Institute for Economic Policy, issue 12, pages 24-33, December.
    11. Yundong Tu & Siwei Wang, 2023. "Variable Screening and Model Averaging for Expectile Regressions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 574-598, June.
    12. Cobb, Marcus P A, 2017. "Joint Forecast Combination of Macroeconomic Aggregates and Their Components," MPRA Paper 76556, University Library of Munich, Germany.
    13. George Kapetanios & Vincent Labhard & Simon Price, 2006. "Forecasting Using Predictive Likelihood Model Averaging," Working Papers 567, Queen Mary University of London, School of Economics and Finance.
    14. George Kapetanios & Vincent Labhard & Simon Price, 2007. "Forecast combination and the Bank of England’s suite of statistical forecasting models," Bank of England working papers 323, Bank of England.
    15. George Kapetanios & Massimiliano Marcellino & Fabrizio Venditti, 2019. "Large time‐varying parameter VARs: A nonparametric approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(7), pages 1027-1049, November.
    16. Mariola Pilatowska, 2009. "The Combined Forecasts Using the Akaike Weights," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 5-16.
    17. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
    18. Drechsel, Katja & Scheufele, Rolf, 2010. "Should We Trust in Leading Indicators? Evidence from the Recent Recession," IWH Discussion Papers 10/2010, Halle Institute for Economic Research (IWH).
    19. Scharnagl, Michael & Schumacher, Christian, 2007. "Reconsidering the role of monetary indicators for euro area inflation from a Bayesian perspective using group inclusion probabilities," Discussion Paper Series 1: Economic Studies 2007,09, Deutsche Bundesbank.
    20. Eliana González, 2010. "Bayesian Model Averaging. An Application to Forecast Inflation in Colombia," Borradores de Economia 7015, Banco de la Republica.
    21. George Bagdatoglou & Alexandros Kontonikas & Mark E. Wohar, 2016. "Forecasting Us Inflation Using Dynamic General-To-Specific Model Selection," Bulletin of Economic Research, Wiley Blackwell, vol. 68(2), pages 151-167, April.
    22. Drechsel, Katja & Scheufele, Rolf, 2011. "The Financial Crisis from a Forecaster’s Perspective," IWH Discussion Papers 5/2011, Halle Institute for Economic Research (IWH).
    23. Zhang, Xinyu & Wan, Alan T.K. & Zou, Guohua, 2013. "Model averaging by jackknife criterion in models with dependent data," Journal of Econometrics, Elsevier, vol. 174(2), pages 82-94.
    24. Lu, Xun & Su, Liangjun, 2015. "Jackknife model averaging for quantile regressions," Journal of Econometrics, Elsevier, vol. 188(1), pages 40-58.
    25. Matthias Pelster & Johannes Vilsmeier, 2018. "The determinants of CDS spreads: evidence from the model space," Review of Derivatives Research, Springer, vol. 21(1), pages 63-118, April.
    26. Vanina Forget, 2012. "Doing well and doing good: a multi-dimensional puzzle," Working Papers hal-00672037, HAL.
    27. Ferreira, Diego & Palma, Andreza Aparecida, 2015. "Forecasting Inflation with the Phillips Curve: A Dynamic Model Averaging Approach for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 69(4), December.
    28. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
    29. Dimitris Korobilis, 2018. "Machine Learning Macroeconometrics: A Primer," Working Paper series 18-30, Rimini Centre for Economic Analysis.
    30. Charles Rahal, 2015. "Housing Market Forecasting with Factor Combinations," Discussion Papers 15-05, Department of Economics, University of Birmingham.
    31. Hugo Gerard & Kristoffer Nimark, 2008. "Combining Multivariate Density Forecasts Using Predictive Criteria," RBA Research Discussion Papers rdp2008-02, Reserve Bank of Australia.
    32. Drechsel, Katja & Scheufele, Rolf, 2012. "The performance of short-term forecasts of the German economy before and during the 2008/2009 recession," International Journal of Forecasting, Elsevier, vol. 28(2), pages 428-445.
    33. Cobb, Marcus P A, 2018. "Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach," MPRA Paper 88593, University Library of Munich, Germany.
    34. David Bolder & Yuliya Romanyuk, 2008. "Combining Canadian Interest-Rate Forecasts," Staff Working Papers 08-34, Bank of Canada.
    35. Drachal, Krzysztof, 2018. "Comparison between Bayesian and information-theoretic model averaging: Fossil fuels prices example," Energy Economics, Elsevier, vol. 74(C), pages 208-251.
    36. Urmat Dzhunkeev, 2024. "Forecasting Inflation in Russia Using Gradient Boosting and Neural Networks," Russian Journal of Money and Finance, Bank of Russia, vol. 83(1), pages 53-76, March.
    37. Yu-chin Chen & Kenneth Rogoff, 2006. "Are the Commodity Currencies an Exception to the Rule?," Working Papers UWEC-2006-28, University of Washington, Department of Economics, revised Mar 2012.
    38. Chanont Banternghansa & Michael W. McCracken, 2010. "Real-time forecast averaging with ALFRED," Working Papers 2010-033, Federal Reserve Bank of St. Louis.
    39. Schumacher, Christian & Breitung, Jörg, 2008. "Real-time forecasting of German GDP based on a large factor model with monthly and quarterly data," International Journal of Forecasting, Elsevier, vol. 24(3), pages 386-398.
    40. Sandra Eickmeier & Christina Ziegler, 2008. "How successful are dynamic factor models at forecasting output and inflation? A meta-analytic approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(3), pages 237-265.
    41. Wei, Yu & Cao, Yang, 2017. "Forecasting house prices using dynamic model averaging approach: Evidence from China," Economic Modelling, Elsevier, vol. 61(C), pages 147-155.
    42. Jana Eklund & George Kapetanios, 2008. "A Review of Forecasting Techniques for Large Data Sets," Working Papers 625, Queen Mary University of London, School of Economics and Finance.
    43. Ekaterina V. Astafyeva & Maria Yu. Turuntseva, 2023. "Анализ Возможностей Улучшения Качества Прогнозов Цен На Природные Ресурсы Методами Комбинирования На Основе Регрессионных Оценок Весов," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 12, pages 24-33, December.
    44. Paul Downward & Andrew Mearman, 2008. "Decision-making at the Bank of England: a critical appraisal," Oxford Economic Papers, Oxford University Press, vol. 60(3), pages 385-409, July.
    45. Vasyl Golosnoy & Yarema Okhrin, 2015. "Using information quality for volatility model combinations," Quantitative Finance, Taylor & Francis Journals, vol. 15(6), pages 1055-1073, June.
    46. Pelster, Matthias & Vilsmeier, Johannes, 2016. "The determinants of CDS spreads: Evidence from the model space," Discussion Papers 43/2016, Deutsche Bundesbank.
    47. Alena Skolkova, 2023. "Model Averaging with Ridge Regularization," CERGE-EI Working Papers wp758, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    48. Kira Alhorn & Holger Dette & Kirsten Schorning, 2021. "Optimal Designs for Model Averaging in non-nested Models," Sankhya A: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 83(2), pages 745-778, August.

  15. Price, Simon & Dimitrios Asteriou & Peter Lukacs & Nigel Pain, 2003. "Manufacturing price determination in OECD countries; markups, demand and uncertainty in a dynamic heterogeneous panel," Royal Economic Society Annual Conference 2003 168, Royal Economic Society.

    Cited by:

    1. Bjørnstad, Roger & Kalstad, Kjartan Øren, 2010. "Increased price markup from union coordination: OECD panel evidence," Economics Discussion Papers 2010-13, Kiel Institute for the World Economy (IfW Kiel).
    2. Colin Ellis & Simon Price, 2003. "The impact of price competitiveness on UK producer price behaviour," Bank of England working papers 178, Bank of England.
    3. Kim, Byung-Yeon & Korhonen, Iikka, 2002. "Equilibrium exchange rates in transition countries: Evidence from dynamic heterogenous panel models," BOFIT Discussion Papers 15/2002, Bank of Finland Institute for Emerging Economies (BOFIT).

  16. Valerie Herzberg & George Kapetanios & Simon Price, 2003. "Import prices and exchange rate pass-through: theory and evidence from the United Kingdom," Bank of England working papers 182, Bank of England.

    Cited by:

    1. Musti, Babagana Mala & Siddiki, Jalal Uddin, 2018. "Nonlinear and Asymmetric Exchange Rate Pass-Through to Consumer Prices In Nigeria: Evidence from a Smooth Transition Autoregressive Model," Economics Discussion Papers 2018-3, School of Economics, Kingston University London.
    2. Ben Cheikh, Nidhaleddine, 2012. "Non-linearities in exchange rate pass-through: Evidence from smooth transition models," MPRA Paper 39258, University Library of Munich, Germany.
    3. Ben Cheikh, Nidhaleddine & Rault, Christophe, 2013. "The Pass-Through of Exchange Rate in the Context of the European Sovereign Debt Crisis," MPRA Paper 59484, University Library of Munich, Germany.
    4. Ida Wolden Bache & Bjørn E. Naug, 2008. "Estimating New Keynesian import price models," Working Paper 2007/15, Norges Bank.
    5. Matthieu Bussiere, 2013. "Exchange Rate Pass-through to Trade Prices: The Role of Nonlinearities and Asymmetries," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(5), pages 731-758, October.
    6. Reginaldo P. Nogueira Junior & Miguel Leon-Ledesma, 2008. "Exchange Rate Pass-Through Into Inflation: The Role of Asymmetries and NonLinearities," Studies in Economics 0801, School of Economics, University of Kent.
    7. Ben Cheikh, Nidhaleddine, 2012. "Nonlinear mechanism of the exchange rate pass-through: Does business cycle matter?," MPRA Paper 41179, University Library of Munich, Germany.
    8. Mehmet Balcilar & Usman Ojonugwa, 2018. "Exchange rate and oil price pass-through to inflation in BRICS countries: Evidence from the spillover index and rolling-sample analysis," Working Papers 15-45, Eastern Mediterranean University, Department of Economics.
    9. Mototsugu Shintani & Akiko Terada-Hagiwara & Tomoyoshi Yabu, 2012. "Exchange rate pass-through and inflation: a nonlinear time series analysis," Vanderbilt University Department of Economics Working Papers 12-00008, Vanderbilt University Department of Economics.
    10. Toshitaka Sekine, 2006. "Time-varying exchange rate pass-through: experiences of some industrial countries," BIS Working Papers 202, Bank for International Settlements.
    11. Ben Cheikh, Nidhaleddine, 2012. "Asymmetric exchange rate pass-through in the Euro area: New evidence from smooth transition models," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-28.
    12. Raphael Brun-Aguerre & Ana-Maria Fuertes & Matthew Greenwood-Nimmo, 2017. "Heads I win; tails you lose: asymmetry in exchange rate pass-through into import prices," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(2), pages 587-612, February.
    13. Mr. Hamid Faruqee, 2004. "Exchange Rate Pass-Through in the Euro Area: The Role of Asymmetric Pricing Behavior," IMF Working Papers 2004/014, International Monetary Fund.
    14. Kiliç, Rehim, 2016. "Regime-dependent exchange-rate pass-through to import prices," International Review of Economics & Finance, Elsevier, vol. 41(C), pages 295-308.
    15. Kellermann, Kersten & Schlag, Carsten-Henning, 2011. "Frankenstärke und Importpreisreagibilität: Kurz-, mittel- und langfristige Effekte," KOFL Working Papers 10, Konjunkturforschungsstelle Liechtenstein (KOFL), Vaduz.
    16. Julio-Román, Juan Manuel, 2019. "Estimating the Exchange Rate Pass-Through: A Time-Varying Vector Auto-Regression with Residual Stochastic Volatility Approach," Working papers 21, Red Investigadores de Economía.
    17. Balcilar, Mehmet & Usman, Ojonugwa, 2021. "Exchange rate and oil price pass-through in the BRICS countries: Evidence from the spillover index and rolling-sample analysis," Energy, Elsevier, vol. 229(C).
    18. Torben M. Andersen & Allan Sørensen, 2008. "Product Market Integration and Heterogeneity—Rent Sharing and Pricing to Market," Review of International Economics, Wiley Blackwell, vol. 16(2), pages 268-284, May.
    19. Suleyman Hilmi Kal & Ferhat Arslaner & Nuran Arslaner, 2015. "Sources of Asymmetry and Non-linearity in Pass-Through of Exchange Rate and Import Price to Consumer Price Inflation for the Turkish Economy during Inflation Targeting Regime," Working Papers 1530, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    20. Ozkan, Ibrahim & Erden, Lutfi, 2015. "Time-varying nature and macroeconomic determinants of exchange rate pass-through," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 56-66.
    21. Przystupa, Jan & Wróbel, Ewa, 2009. "Asymmetry of the exchange rate pass-through: An exercise on the Polish data," MPRA Paper 17660, University Library of Munich, Germany.
    22. Aaron Drew & Rishab Sethi, 2007. "The transmission mechanism of New Zealand monetary policy," Reserve Bank of New Zealand Bulletin, Reserve Bank of New Zealand, vol. 70, June.
    23. Jinbin Wang & Nan Li, 2010. "Exchange rate pass-through: The case of China," Frontiers of Economics in China, Springer;Higher Education Press, vol. 5(3), pages 356-374, September.
    24. John Lewis, 2020. "Exchange rate passthrough at the micro and macro levels in a small open economy: Evidence from several million unit values," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(3), pages 1274-1291, August.
    25. Ben Cheikh, Nidhaleddine & Ben Zaied, Younes, 2020. "Revisiting the pass-through of exchange rate in the transition economies: New evidence from new EU member states," Journal of International Money and Finance, Elsevier, vol. 100(C).
    26. Andreas Benedictow & Pål Boug, 2013. "Trade liberalisation and exchange rate pass-through: the case of textiles and wearing apparels," Empirical Economics, Springer, vol. 45(2), pages 757-788, October.
    27. Martins Bitans, 2004. "Pass-Through of Exchange Rates to Domestic Prices in East European Countries and the Role of Economic Enviroment," Working Papers 2004/04, Latvijas Banka.
    28. Brun-Aguerre, Raphael & Fuertes, Ana-Maria & Phylaktis, Kate, 2012. "Exchange rate pass-through into import prices revisited: What drives it?," Journal of International Money and Finance, Elsevier, vol. 31(4), pages 818-844.
    29. Jovic, Srdjan & Smigic Miladinovic, Jasmina & Micic, Radmila & Markovic, Sanja & Rakic, Goran, 2019. "Analysing of exchange rate and gross domestic product (GDP) by adaptive neuro fuzzy inference system (ANFIS)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 333-338.
    30. Páll, Zsombor, 2015. "Three essays on the Russian wheat export," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 80, number 80.

  17. Emilio Fernandez-Corugedo & Simon Price & Andrew Blake, 2003. "The dynamics of consumers' expenditure: the UK consumption ECM redux," Bank of England working papers 204, Bank of England.

    Cited by:

    1. Vítor Castro & Ricardo M. Sousa, 2010. "How Do Central Banks React to Wealth Composition and Asset Prices?," NIPE Working Papers 26/2010, NIPE - Universidade do Minho.
    2. Lee, Jiho, 2013. "Consumption, financial wealth and labor income in Korea," Japan and the World Economy, Elsevier, vol. 25, pages 59-67.
    3. Carroll, Christopher D. & Slacalek, Jiri & Otsuka, Misuzu, 2010. "How large are housing and financial wealth effects? A new approach," Working Paper Series 1283, European Central Bank.
    4. Sousa, João & Sousa, Ricardo M., 2013. "Asset returns under model uncertainty: evidence from the euro area, the U.S. and the U.K," Working Paper Series 1575, European Central Bank.
    5. Carroll, Christopher D. & Otsuka, Misuzu & Slacalek, Jirka, 2006. "How large is the housing wealth effect? A new approach," CFS Working Paper Series 2006/35, Center for Financial Studies (CFS).
    6. Thomas Nitschka, 2012. "Global and country-specific business cycle risk in time-varying excess returns on asset markets," Working Papers 2012-10, Swiss National Bank.
    7. de Bondt, Gabe & Gieseck, Arne & Herrero, Pablo & Zekaite, Zivile, 2019. "Disaggregate income and wealth effects in the largest euro area countries," Research Technical Papers 15/RT/19, Central Bank of Ireland.
    8. Della Corte, Pasquale & Sarno, Lucio & Valente, Giorgio, 2010. "A century of equity premium predictability and the consumption-wealth ratio: An international perspective," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 313-331, June.
    9. Thomas Nitschka, 2010. "International Evidence for Return Predictability and the Implications for Long‐Run Covariation of the G7 Stock Markets," German Economic Review, Verein für Socialpolitik, vol. 11(4), pages 527-544, November.
    10. Sousa, Ricardo M., 2010. "Consumption, (dis)aggregate wealth, and asset returns," Journal of Empirical Finance, Elsevier, vol. 17(4), pages 606-622, September.
    11. Vincent Labhard & Gabriel Sterne & Chris Young, 2005. "Wealth and consumption: an assessment of the international evidence," Bank of England working papers 275, Bank of England.
    12. João Sousa & Ricardo M. Sousa, 2011. "Asset Returns Under Model Uncertainty: Eveidence from the euro area, the U.K and the U.S," NIPE Working Papers 21/2011, NIPE - Universidade do Minho.
    13. Dimitrios Sideris & Georgia Pavlou, 2021. "Disaggregate income and wealth effects on private consumption in Greece," Working Papers 293, Bank of Greece.
    14. Simon Price, 2004. "UK investment and the return to equity: Q redux," Money Macro and Finance (MMF) Research Group Conference 2004 87, Money Macro and Finance Research Group.
    15. Dreger, Christian & Reimers, Hans-Eggert, 2011. "The long run relationship between private consumption and wealth: common and idiosyncratic effects," Discussion Papers 295, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    16. Thomas Nitschka, 2005. "The U.S. consumption-wealth ratio and foreign stock markets: International evidence for return predictability," Money Macro and Finance (MMF) Research Group Conference 2005 22, Money Macro and Finance Research Group.
    17. Britta Hamburg & Mathias Hoffmann & Joachim Keller, 2005. "Consumption, Wealth and Business Cycles in Germany," CESifo Working Paper Series 1443, CESifo.
    18. Mickaël Clévenot & Yann Guy & Jacques Mazier, 2009. "Equity and debt in a financialised economy: the French case," CEPN Working Papers hal-00435685, HAL.
    19. Ricardo M. Sousa, 2009. "Wealth Effetcs on Consumption: Evidence from the euro area," NIPE Working Papers 12/2009, NIPE - Universidade do Minho.
    20. Simon Price & Christoph Schleicher, 2006. "Returns to equity, investment and Q: evidence from the United Kingdom," Bank of England working papers 310, Bank of England.
    21. Thomas Nitschka, 2007. "Cashflow news, the value premium and an asset pricing view on European stock market integration," IEW - Working Papers 339, Institute for Empirical Research in Economics - University of Zurich.
    22. Jiri Slacalek, 2006. "International Wealth Effects," Computing in Economics and Finance 2006 425, Society for Computational Economics.
    23. Slacalek, Jiri, 2009. "What Drives Personal Consumption? The Role of Housing and Financial Wealth," Working Paper Series 1117, European Central Bank.
    24. Tuomas A. Peltonen & Ricardo M. Sousa & Isabel S. Vansteenkiste, 2009. "Wealth Effects in Emerging Market Economies," NIPE Working Papers 4/2009, NIPE - Universidade do Minho.
    25. Emmanuel De Veirman & Ashley Dunstan, 2008. "How do Housing Wealth, Financial Wealth and Consumption Interact? Evidence from New Zealand," Reserve Bank of New Zealand Discussion Paper Series DP2008/05, Reserve Bank of New Zealand.
    26. Ricardo M. Sousa, 2010. "Time-Varying Expected Returns: Evidence from the U.S. and the U.K," NIPE Working Papers 10/2010, NIPE - Universidade do Minho.
    27. Apergis, Nicholas & Bouras, Christos & Christou, Christina & Hassapis, Christis, 2018. "Multi-horizon wealth effects across the G7 economies," Economic Modelling, Elsevier, vol. 72(C), pages 165-176.
    28. Auer Benjamin R., 2012. "Lassen sich CAPM, HCAPM und CCAPM durch konsumbasierte zeitvariable Parameterspezifikation rehabilitieren? / Can Time-varying Parameter Specification Based on Consumption Variables Rehabilitate CAPM, ," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(5), pages 518-544, October.
    29. Stephen Millard & John Power, 2004. "The effects of stock market movements on consumption and investment: does the shock matter?," Bank of England working papers 236, Bank of England.
    30. Roy Cromb & Emilio Fernandez-Corugedo, 2004. "Long-term interest rates, wealth and consumption," Bank of England working papers 243, Bank of England.
    31. Hamburg, Britta & Hoffmann, Mathias & Keller, Joachim, 2005. "Consumption, wealth and business cycles: why is Germany different?," Discussion Paper Series 1: Economic Studies 2005,16, Deutsche Bundesbank.
    32. León Navarro, Manuel & Flores de Frutos, Rafael, 2015. "Residential versus financial wealth effects on consumption from a shock in interest rates," Economic Modelling, Elsevier, vol. 49(C), pages 81-90.
    33. Fisher, Lance A. & Otto, Glenn & Voss, Graham M., 2010. "The response of Australian consumption to housing wealth," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 284-299, March.
    34. Ahec Šonje, Amina & Čeh Časni, Anita & Vizek, Maruška, 2014. "The effect of housing and stock market wealth on consumption in emerging and developed countries," Economic Systems, Elsevier, vol. 38(3), pages 433-450.
    35. Monica Paiella, 2009. "The Stock Market, Housing And Consumer Spending: A Survey Of The Evidence On Wealth Effects," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 947-973, December.
    36. José Carlos Trejo García & Estefanía Carolina Rivera Hernández & Humberto Ríos Bolívar, 2017. "Análisis de la histéresis del desempleo en México ante shocks macroeconómicos, 1999-2014," Contaduría y Administración, Accounting and Management, vol. 62(4), pages 1228-1248, Octubre-D.
    37. Alexandre, Fernando & Bacao, Pedro & Gabriel, Vasco J., 2007. "Volatility in asset prices and long-run wealth effect estimates," Economic Modelling, Elsevier, vol. 24(6), pages 1048-1064, November.
    38. Ricardo M. Sousa, 2010. "Collateralizable Wealth, Asset Returns, and Systemic Risk: International Evidence," NIPE Working Papers 15/2010, NIPE - Universidade do Minho.
    39. Ricardo M. Sousa, 2007. "Expectations, Shocks, and Asset Returns," NIPE Working Papers 29/2007, NIPE - Universidade do Minho.
    40. Fernandez-Corugedo, Emilio & Price, Simon & Blake, Andrew P., 2007. "The dynamics of aggregate UK consumers' non-durable expenditure," Economic Modelling, Elsevier, vol. 24(3), pages 453-469, May.

  18. Colin Ellis & Simon Price, 2003. "UK business investment: long-run elasticities and short-run dynamics," Bank of England working papers 196, Bank of England.

    Cited by:

    1. Simon Price, 2004. "UK investment and the return to equity: Q redux," Money Macro and Finance (MMF) Research Group Conference 2004 87, Money Macro and Finance Research Group.
    2. Lydon, Reamonn & Scally, John, 2014. "Trends in Business Investment," Quarterly Bulletin Articles, Central Bank of Ireland, pages 76-89, January.
    3. Lukasz Rachel & Thomas D. Smith, 2017. "Are Low Real Interest Rates Here to Stay?," International Journal of Central Banking, International Journal of Central Banking, vol. 13(3), pages 1-42, September.
    4. Björn A. Hauksson, 2005. "Aggregate business fixed investment," Economics wp27_bjorn, Department of Economics, Central bank of Iceland.
    5. Stephen Millard & John Power, 2004. "The effects of stock market movements on consumption and investment: does the shock matter?," Bank of England working papers 236, Bank of England.
    6. Eman Moustafa, . "The relationship between perceived corruption and FDI: a longitudinal study in the context of Egypt," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    7. Smith, James, 2008. "That elusive elasticity and the ubiquitous bias: Is panel data a panacea?," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 760-779, June.

  19. Colin Ellis & Simon Price, 2003. "The impact of price competitiveness on UK producer price behaviour," Bank of England working papers 178, Bank of England.

    Cited by:

    1. Colin Ellis, 2006. "Elasticities, markups and technical progress: evidence from a state-space approach," Bank of England working papers 300, Bank of England.
    2. Keshab Raj Bhattarai, 2006. "An Empirical Study of Interest Rate Determination Rules," EcoMod2006 272100011, EcoMod.

  20. Emilio Fernandez-Corugedo & Simon Price, 2002. "Financial liberalisation and consumers' expenditure: 'FLIB' re-examined," Bank of England working papers 157, Bank of England.

    Cited by:

    1. Fitzpatrick, Trevor & McQuinn, Kieran, 2004. "House Prices and Mortgage Credit: Empirical Evidence for Ireland," Research Technical Papers 5/RT/04, Central Bank of Ireland.
    2. Emilio Fernandez-Corugedo & John Muellbauer, 2006. "Consumer credit conditions in the United Kingdom," Bank of England working papers 314, Bank of England.
    3. Gabriela Lopes de Castro, 2006. "Consumption, Disposable Income and Liquidity Constraints," Economic Bulletin and Financial Stability Report Articles and Banco de Portugal Economic Studies, Banco de Portugal, Economics and Research Department.

  21. George Economides & Apostolis Philippopoulos & Simon Price, 2002. "Elections, Fiscal Policy and Growth: Revisiting the Mechanism," CESifo Working Paper Series 691, CESifo.

    Cited by:

    1. Lukach, R. & Plasmans, J.E.J., 2002. "Measuring Knowledge Spillovers using Patent Citations : Evidence from the Belgian Firm's Data," Other publications TiSEM d78bf59a-e0ff-4451-86b9-1, Tilburg University, School of Economics and Management.
    2. George Economides & Jim Malley & Apostolis Philippopoulos & Ulrich Woitek, 2003. "Electoral Uncertainty, Fiscal Policies and Growth: Theory and Evidence from Germany, the UK and the US," Working Papers 2003_16, Business School - Economics, University of Glasgow.
    3. Konstantinos Angelopoulos & George Economides, 2005. "Rent Seeking, Policy and Growth under Electoral Uncertainty: Theory and Evidence," DEGIT Conference Papers c010_029, DEGIT, Dynamics, Economic Growth, and International Trade.

Articles

  1. Kapetanios, George & Price, Simon & Tasiou, Menelaos & Ventouri, Alexia, 2021. "State-level wage Phillips curves," Econometrics and Statistics, Elsevier, vol. 18(C), pages 1-11.
    See citations under working paper version above.
  2. Kapetanios, George & Millard, Stephen & Petrova, Katerina & Price, Simon, 2020. "Time-varying cointegration with an application to the UK Great Ratios," Economics Letters, Elsevier, vol. 193(C).

    Cited by:

    1. Polbin, Andrey & Skrobotov, Anton, 2022. "On decrease in oil price elasticity of GDP and investment in Russia," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 66, pages 5-24.
    2. Chudik, A. & Pesaran, M. H. & Smith, R. P., 2022. "Revisiting the Great Ratios Hypothesis," Cambridge Working Papers in Economics 2215, Faculty of Economics, University of Cambridge.
    3. Yicong Lin & Mingxuan Song, 2023. "Robust bootstrap inference for linear time-varying coefficient models: Some Monte Carlo evidence," Tinbergen Institute Discussion Papers 23-049/III, Tinbergen Institute.

  3. Kapetanios, George & Price, Simon & Young, Garry, 2018. "A UK financial conditions index using targeted data reduction: Forecasting and structural identification," Econometrics and Statistics, Elsevier, vol. 7(C), pages 1-17.
    See citations under working paper version above.
  4. Kapetanios, George & Price, Simon & Theodoridis, Konstantinos, 2015. "A new approach to multi-step forecasting using dynamic stochastic general equilibrium models," Economics Letters, Elsevier, vol. 136(C), pages 237-242.
    See citations under working paper version above.
  5. Kapetanios, G. & Mitchell, J. & Price, S. & Fawcett, N., 2015. "Generalised density forecast combinations," Journal of Econometrics, Elsevier, vol. 188(1), pages 150-165.
    See citations under working paper version above.
  6. Jana Eklund & George Kapetanios & Simon Price, 2013. "Robust Forecast Methods and Monitoring during Structural Change," Manchester School, University of Manchester, vol. 81, pages 3-27, October.

    Cited by:

    1. Duncan, Roberto & Martínez-García, Enrique, 2019. "New perspectives on forecasting inflation in emerging market economies: An empirical assessment," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1008-1031.
    2. Hännikäinen, Jari, 2014. "Multi-step forecasting in the presence of breaks," MPRA Paper 55816, University Library of Munich, Germany.
    3. Hännikäinen, Jari, 2015. "Selection of an estimation window in the presence of data revisions and recent structural breaks," MPRA Paper 66759, University Library of Munich, Germany.
    4. Dungey, Mardi & Jacobs, Jan P.A.M. & Tian, Jing, 2016. "Forecasting output gaps in the G-7 countries: The role of correlated Innovations and structural breaks," Working Papers 2016-04, University of Tasmania, Tasmanian School of Business and Economics.
    5. Gantungalag Altansukh & Denise R. Osborn, 2022. "Using structural break inference for forecasting time series," Empirical Economics, Springer, vol. 63(1), pages 1-41, July.

  7. Jan J. J. Groen & George Kapetanios & Simon Price, 2013. "Multivariate Methods For Monitoring Structural Change," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(2), pages 250-274, March.
    See citations under working paper version above.
  8. Giraitis, Liudas & Kapetanios, George & Price, Simon, 2013. "Adaptive forecasting in the presence of recent and ongoing structural change," Journal of Econometrics, Elsevier, vol. 177(2), pages 153-170.
    See citations under working paper version above.
  9. Benito, Andrew & Neiss, Katharine & Price, Simon & Rachel, Lukasz, 2010. "The impact of the financial crisis on supply," Bank of England Quarterly Bulletin, Bank of England, vol. 50(2), pages 104-114.

    Cited by:

    1. Alessandra Guariglia & Marina-Eliza Spaliara & Serafeim Tsoukas, 2016. "To What Extent Does the Interest Burden Affect Firm Survival? Evidence from a Panel of UK Firms during the Recent Financial Crisis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(4), pages 576-594, August.
    2. Fernandez-Corugedo, Emilio & McMahon, Michael & Millard, Stephen & Rachel, Lukasz, 2011. "Understanding the macroeconomic effects of working capital in the United Kingdom," Bank of England working papers 422, Bank of England.
    3. Burgess, Stephen, 2011. "Measuring financial sector output and its contribution to UK GDP," Bank of England Quarterly Bulletin, Bank of England, vol. 51(3), pages 234-246.
    4. Anderton, Robert & Elding, Catherine & Haroutunian, Stephan & Jarvis, Valerie & Aranki, Ted & Rusinova, Desislava & Labhard, Vincent & Jacquinot, Pascal & Dieppe, Alistair & Szörfi, Béla, 2014. "Potential output from a euro area perspective," Occasional Paper Series 156, European Central Bank.
    5. Timothy J. Besley & Isabelle A. Roland & John Van Reenen, 2020. "The Aggregate Consequences of Default Risk: Evidence from Firm-level Data," NBER Working Papers 26686, National Bureau of Economic Research, Inc.
    6. Barnett, Alina & Batten, Sandra & Chiu, Adrian & Franklin, Jeremy & Sebastia-Barriel, Maria, 2014. "The UK productivity puzzle," Bank of England Quarterly Bulletin, Bank of England, vol. 54(2), pages 114-128.
    7. Thomas, Ryland & Hills, Sally & Dimsdale, Nicholas, 2010. "The UK recession in context — what do three centuries of data tell us?," Bank of England Quarterly Bulletin, Bank of England, vol. 50(4), pages 277-291.
    8. Bian, Yuan & Lemoine, David & Yeung, Thomas G. & Bostel, Nathalie & Hovelaque, Vincent & Viviani, Jean-laurent & Gayraud, Fabrice, 2018. "A dynamic lot-sizing-based profit maximization discounted cash flow model considering working capital requirement financing cost with infinite production capacity," International Journal of Production Economics, Elsevier, vol. 196(C), pages 319-332.
    9. Daniel Mead & Isabelle Roland, 2020. "Has the Financial Crisis Undermined Credit Reallocation in the United Kingdom?," CEP Industrial Strategy 08, Centre for Economic Performance, LSE.
    10. Richard Blundell & Claire Crawford & Wenchao Jin, 2014. "What Can Wages and Employment Tell Us about the UK's Productivity Puzzle?," Economic Journal, Royal Economic Society, vol. 0(576), pages 377-407, May.

  10. Groen, Jan J.J. & Kapetanios, George & Price, Simon, 2009. "A real time evaluation of Bank of England forecasts of inflation and growth," International Journal of Forecasting, Elsevier, vol. 25(1), pages 74-80.

    Cited by:

    1. Medel, Carlos A., 2017. "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," MPRA Paper 78439, University Library of Munich, Germany.
    2. Knüppel, Malte & Schultefrankenfeld, Guido, 2013. "The empirical (ir)relevance of the interest rate assumption for central bank forecasts," Discussion Papers 11/2013, Deutsche Bundesbank.
    3. Ana Beatriz Galvão & James Mitchell, 2019. "Measuring Data Uncertainty: An Application using the Bank of England's "Fan Charts" for Historical GDP Growth," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2019-08, Economic Statistics Centre of Excellence (ESCoE).
    4. Knüppel, Malte & Schultefrankenfeld, Guido, 2018. "Assessing the uncertainty in central banks' inflation outlooks," Discussion Papers 56/2018, Deutsche Bundesbank.
    5. Sinclair, Tara M. & Stekler, H.O., 2013. "Examining the quality of early GDP component estimates," International Journal of Forecasting, Elsevier, vol. 29(4), pages 736-750.
    6. Michael Cai & Marco Del Negro & Marc Giannoni & Abhi Gupta & Pearl Li & Erica Moszkowski, 2018. "DSGE forecasts of the lost recovery," Staff Reports 844, Federal Reserve Bank of New York.
    7. Ana Beatriz Galvão & James Mitchell, 2023. "Real‐Time Perceptions of Historical GDP Data Uncertainty," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 457-481, June.
    8. Papavangjeli, Meri & Rama, Arlind, 2018. "A statistical evaluation of GAP's forecasting performance for the Albanian economy," MPRA Paper 116104, University Library of Munich, Germany.
    9. Tara Sinclair & Herman O. Stekler & Warren Carnow, 2012. "A New Approach For Evaluating Economic Forecasts," Working Papers 2012-2, The George Washington University, Institute for International Economic Policy.
    10. Iversen, Jens & Laséen, Stefan & Lundvall, Henrik & Söderström, Ulf, 2016. "Real-Time Forecasting for Monetary Policy Analysis: The Case of Sveriges Riksbank," Working Paper Series 318, Sveriges Riksbank (Central Bank of Sweden).
    11. Hans Christian Müller-Dröge & Tara M. Sinclair & Herman O. Stekler, 2014. "Evaluating Forecasts Of A Vector Of Variables: A German Forecasting Competition," Working Papers 2014-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    12. Matei Demetrescu & Christoph Hanck & Robinson Kruse, 2016. "Fixed-b Inference in the Presence of Time-Varying Volatility," CREATES Research Papers 2016-01, Department of Economics and Business Economics, Aarhus University.
    13. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    14. Kapetanios, George & Price, Simon & Young, Garry, 2017. "A UK financial conditions index using targeted data reduction: forecasting and structural identification," Bank of England working papers 699, Bank of England.
    15. Boero, Gianna & Smith, Jeremy & Wallis, Kenneth F., 2011. "Scoring rules and survey density forecasts," International Journal of Forecasting, Elsevier, vol. 27(2), pages 379-393, April.
    16. Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers CWP41/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. João Henrique Gonçalves Mazzeu & Esther Ruiz & Helena Veiga, 2018. "Uncertainty And Density Forecasts Of Arma Models: Comparison Of Asymptotic, Bayesian, And Bootstrap Procedures," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 388-419, April.
    18. Zeyyad Mandalinci, 2015. "Forecasting Inflation in Emerging Markets: An Evaluation of Alternative Models," CReMFi Discussion Papers 3, CReMFi, School of Economics and Finance, QMUL.
    19. 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.
    20. Pablo Pincheira, 2011. "A Bunch of Models, a Bunch of Nulls and Inference About Predictive Ability," Working Papers Central Bank of Chile 607, Central Bank of Chile.
    21. Pablo Pincheira Brown & Álvaro García Marín, 2009. "Forecasting Inflation in Chile With an Accurate Benchmark," Working Papers Central Bank of Chile 514, Central Bank of Chile.
    22. Anh Dinh Minh Nguyen, 2017. "U.K. Monetary Policy under Inflation Targeting," Bank of Lithuania Working Paper Series 41, Bank of Lithuania.
    23. Sinclair, Tara M. & Stekler, H.O. & Carnow, Warren, 2015. "Evaluating a vector of the Fed’s forecasts," International Journal of Forecasting, Elsevier, vol. 31(1), pages 157-164.
    24. Raffaella Giacomini, 2014. "Economic theory and forecasting: lessons from the literature," CeMMAP working papers 41/14, Institute for Fiscal Studies.
    25. Marek Rusnak, 2013. "Nowcasting Czech GDP in Real Time," Working Papers 2013/06, Czech National Bank.
    26. Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019. "An analysis of the Eurosystem/ECB projections," Working Paper Series 2291, European Central Bank.
    27. Roberto Leon-Gonzalez & Blessings Majoni, 2023. "Exact Likelihood for Inverse Gamma Stochastic Volatility Models," GRIPS Discussion Papers 23-07, National Graduate Institute for Policy Studies.
    28. Tara M. Sinclair & H.O. Stekler, 2011. "Differences in Early GDP Component Estimates Between Recession and Expansion," Working Papers 2011-05, The George Washington University, Institute for International Economic Policy.
    29. Tsuchiya, Yoichi, 2022. "Evaluating the European Central Bank’s uncertainty forecasts," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 321-330.
    30. Pablo M. Pincheira & Carlos A. Medel, 2016. "Forecasting with a Random Walk," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 66(6), pages 539-564, December.
    31. Jan J.J. Groen & George Kapetanios & Simon Price, 2010. "Multivariate Methods for Monitoring Structural Change," Working Papers 658, Queen Mary University of London, School of Economics and Finance.
    32. Andriantomanga, Zo, 2023. "The role of survey-based expectations in real-time forecasting of US inflation," MPRA Paper 119904, University Library of Munich, Germany.
    33. Pablo Pincheira & Carlos A. Medel, 2012. "Forecasting Inflation with a Simple and Accurate Benchmark: a Cross-Country Analysis," Working Papers Central Bank of Chile 677, Central Bank of Chile.
    34. Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2018. "Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts," Staff Working Papers 18-52, Bank of Canada.
    35. Jones, Jacob T. & Sinclair, Tara M. & Stekler, Herman O., 2020. "A textual analysis of Bank of England growth forecasts," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1478-1487.
    36. Pablo Pincheira & Carlos Medel, 2012. "Forecasting Inflation With a Random Walk," Working Papers Central Bank of Chile 669, Central Bank of Chile.
    37. Hamid Baghestani & Cassia Marchon, 2015. "On the accuracy of private forecasts of inflation and growth in Brazil," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(2), pages 370-381, April.
    38. Mr. Jens R Clausen & Bianca Clausen, 2010. "Simulating Inflation Forecasting in Real-Time: How Useful Is a Simple Phillips Curve in Germany, the UK, and the US?," IMF Working Papers 2010/052, International Monetary Fund.
    39. Pablo Pincheira, 2012. "A Joint Test of Superior Predictive Ability for Chilean Inflation Forecasts," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(3), pages 04-39, December.
    40. Pablo Pincheira, 2010. "A Real Time Evaluation of the Central Bank of Chile GDP Growth Forecasts," Working Papers Central Bank of Chile 556, Central Bank of Chile.
    41. Susan Sunila Sharma, 2019. "WHICH VARIABLES PREDICT INDONESIA’s INFLATION?," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(1), pages 87-102, April.
    42. Pablo M. Pincheira & Carlos A. Medel, 2015. "Forecasting Inflation with a Simple and Accurate Benchmark: The Case of the US and a Set of Inflation Targeting Countries," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(1), pages 2-29, January.

  11. Kapetanios, George & Labhard, Vincent & Price, Simon, 2008. "Forecasting Using Bayesian and Information-Theoretic Model Averaging: An Application to U.K. Inflation," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 33-41, January.
    See citations under working paper version above.
  12. Kapetanios, George & Labhard, Vincent & Price, Simon, 2008. "Forecast combination and the Bank of England's suite of statistical forecasting models," Economic Modelling, Elsevier, vol. 25(4), pages 772-792, July.
    See citations under working paper version above.
  13. Fernandez-Corugedo, Emilio & Price, Simon & Blake, Andrew P., 2007. "The dynamics of aggregate UK consumers' non-durable expenditure," Economic Modelling, Elsevier, vol. 24(3), pages 453-469, May.

    Cited by:

    1. Bilgili, Faik, 2007. "The Permanent and Transitory Effects on Consumption and Income: Evidence from the Turkish Economy," MPRA Paper 24090, University Library of Munich, Germany, revised 20 Jul 2010.
    2. Zachłod-Jelec, Magdalena, 2010. "Interrelations between consumption and wealth in Poland," MF Working Papers 3, Ministry of Finance in Poland, revised 07 Jan 2010.
    3. Bruno Albuquerque & Georgi Krustev, 2018. "Debt Overhang and Deleveraging in the US Household Sector: Gauging the Impact on Consumption," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 64(2), pages 459-481, June.
    4. Márquez, Elena & Martínez-Cañete, Ana R. & Pérez-Soba, Inés, 2013. "Wealth shocks, credit conditions and asymmetric consumption response: Empirical evidence for the UK," Economic Modelling, Elsevier, vol. 33(C), pages 357-366.
    5. Barrell, Ray & Costantini, Mauro & Meco, Iris, 2015. "Housing wealth, financial wealth, and consumption: New evidence for Italy and the UK," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 316-323.

  14. Kapetanios, George & Labhard, Vincent & Price, Simon, 2006. "Forecasting using predictive likelihood model averaging," Economics Letters, Elsevier, vol. 91(3), pages 373-379, June.
    See citations under working paper version above.
  15. Simon Price & Christoph Schleicher, 2005. "Returns To Equity, Investment And Q: Evidence From The Uk," Manchester School, University of Manchester, vol. 73(s1), pages 32-57, September.

    Cited by:

    1. Kilponen, Juha & Verona, Fabio, 2016. "Testing the Q theory of investment in the frequency domain," Bank of Finland Research Discussion Papers 32/2016, Bank of Finland.
    2. Gallegati, Marco & Ramsey, James B., 2013. "Bond vs stock market's Q: Testing for stability across frequencies and over time," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 138-150.
    3. Basu, Parantap & Gillman, Max & Pearlman, Joseph, 2012. "Inflation, human capital and Tobin's q," Journal of Economic Dynamics and Control, Elsevier, vol. 36(7), pages 1057-1074.
    4. Gallegati, Marco & Ramsey, James B., 2013. "Structural change and phase variation: A re-examination of the q-model using wavelet exploratory analysis," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 60-73.
    5. Mark J. Holmes, 2010. "An Alternative Perspective on Tobin's Q and Aggregate Investment Expenditure," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 9(1), pages 23-28, April.

  16. Dimitrios Asteriou & Simon Price, 2005. "“Uncertainty, Investment and Economic Growth: Evidence from a Dynamic Panel”," Review of Development Economics, Wiley Blackwell, vol. 9(2), pages 277-288, May.

    Cited by:

    1. Shu‐Chin Lin, 2009. "Inflation And Real Stock Returns Revisited," Economic Inquiry, Western Economic Association International, vol. 47(4), pages 783-795, October.
    2. Ana Barreira & Rui Nuno Baleiras, 2000. "Cycles On Public Expenditure Composition Within the European Union," Regional and Urban Modeling 283600004, EcoMod.
    3. Mellati, Ali, 2008. "Uncertainty and investment in private sector: An analytical argument and a review of the economy of Iran," MPRA Paper 26655, University Library of Munich, Germany.
    4. Tran, My Thi Ha, 2021. "Public Sector Management And Corruption In Asean Plus Six," OSF Preprints stxw4, Center for Open Science.
    5. Kul B. Luintel & George Mavrotas, 2005. "Examining Private Investment Heterogeneity: Evidence from a Dynamic Panel," WIDER Working Paper Series DP2005-11, World Institute for Development Economic Research (UNU-WIDER).
    6. Fabrizio Carmignani, 2003. "Political Instability, Uncertainty and Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 17(1), pages 1-54, February.
    7. Amber Fatima & Abdul Waheed, 2014. "Economic uncertainty and growth performance: a macroeconomic modeling analysis for Pakistan," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(3), pages 1361-1387, May.
    8. Ho, Sin-Yu & Njindan Iyke, Bernard, 2017. "Consumption and Exchange Rate Uncertainty: Evidence from Selected Asian Countries," MPRA Paper 80096, University Library of Munich, Germany.
    9. Mohey-ud-din, Ghulam & Siddiqi, Muhammad Wasif, 2013. "GDP Fluctuations and Private Investment: A Macro Panel Analysis of Selected South Asian Countries," MPRA Paper 60231, University Library of Munich, Germany, revised 15 Jun 2014.
    10. Eleftherios Goulas & Athina Zervoyianni, 2013. "Growth, Deficits and Uncertainty: Theoretical Aspects and Empirical Evidence," Working Paper series 53_13, Rimini Centre for Economic Analysis.
    11. Eleftherios Goulas & Athina Zervoyianni, 2013. "Economic growth and crime: does uncertainty matter?," Applied Economics Letters, Taylor & Francis Journals, vol. 20(5), pages 420-427, March.
    12. Jun Wen & Samia Khalid & Hamid Mahmood & Xiuyun Yang, 2022. "Economic policy uncertainty and growth nexus in Pakistan: a new evidence using NARDL model," Economic Change and Restructuring, Springer, vol. 55(3), pages 1701-1715, August.
    13. Vivek Ghosal & Yang Ye, 2015. "Uncertainty and the employment dynamics of small and large businesses," Small Business Economics, Springer, vol. 44(3), pages 529-558, March.
    14. Sarantis Kalyvitis, 2006. "Another look at the linear q model: an empirical analysis of aggregate business capital spending with maintenance expenditures," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 39(4), pages 1282-1315, November.
    15. Ghosal, Vivek & Ye, Yang, 2019. "The impact of uncertainty on the number of businesses," Journal of Economics and Business, Elsevier, vol. 105(C).
    16. Kim, Byung-Yeon & Korhonen, Iikka, 2002. "Equilibrium exchange rates in transition countries: Evidence from dynamic heterogenous panel models," BOFIT Discussion Papers 15/2002, Bank of Finland Institute for Emerging Economies (BOFIT).
    17. Hillary Chijindu Ezeaku & David Okelue Ugwunta & Godwin Imo Ibe & Ebele Igwemeka & Eze Festus Eze & Obiamaka P. Egbo, 2023. "Effect of bilateral and multilateral concessional debts on public investment in Africa: A contingency analysis," African Development Review, African Development Bank, vol. 35(2), pages 198-210, June.
    18. Amber Fatima & Abdul Waheed, 2011. "Effects of Macroeconomic Uncertainty on Investment and Economic Growth: Evidence from Pakistan," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 18(1), pages 112-123, September.
    19. Chih-Chuan Yeh & Kuan-Min Wang & Yu-Bo Suen, 2011. "A quantile framework for analysing the links between inflation uncertainty and inflation dynamics across countries," Applied Economics, Taylor & Francis Journals, vol. 43(20), pages 2593-2602.
    20. Tran, My Thi Ha, 2021. "Public Sector Management And Corruption In Asean Plus Six," OSF Preprints stxw4_v1, Center for Open Science.
    21. Goulas, Eleftherios & Zervoyianni, Athina, 2013. "Growth, deficits and uncertainty: Theoretical aspects and empirical evidence from a panel of 27 countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(4), pages 380-392.
    22. M.A. Villanthenkodath & K. Hafsal & A. K. Dawood & N. Cheriyambadan, 2023. "Economic policy uncertainty and sectoral level output in India: The implications on structural change," Journal of Economic Policy and Management Issues, JEPMI, vol. 2(1), pages 1-13.
    23. Stavros Degiannakis & George Filis & George Palaiodimos, 2017. "Investments and uncertainty revisited: the case of the US economy," Applied Economics, Taylor & Francis Journals, vol. 49(45), pages 4521-4529, September.
    24. Chandranath Amarasekara & Bernard Njindan Iyke & Paresh Kumar Narayan, 2022. "The role of R&D and economic policy uncertainty in Sri Lanka’s economic growth," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-19, December.
    25. Huang, Wei-Ling & Lin, Wen-Yuan & Ning, Shao-Lin, 2020. "The effect of economic policy uncertainty on China’s housing market," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    26. Firat Demir, 2009. "Financialization and Manufacturing Firm Profitability under Uncertainty and Macroeconomic Volatility: Evidence from an Emerging Market," Review of Development Economics, Wiley Blackwell, vol. 13(4), pages 592-609, November.

  17. Colin Ellis & Simon Price, 2004. "UK Business Investment and the User Cost of Capital," Manchester School, University of Manchester, vol. 72(s1), pages 72-93, September.

    Cited by:

    1. Chirinko, Robert S., 2008. "[sigma]: The long and short of it," Journal of Macroeconomics, Elsevier, vol. 30(2), pages 671-686, June.
    2. Colin Ellis, 2006. "Elasticities, markups and technical progress: evidence from a state-space approach," Bank of England working papers 300, Bank of England.
    3. Barnes, Sebastian & Price, Simon & Sebastia Barriel, Maria, 2008. "The elasticity of substitution: evidence from a UK firm-level data set," Bank of England working papers 348, Bank of England.
    4. Robert S. Chirinko, 2008. "ó: The Long And Short Of It," CESifo Working Paper Series 2234, CESifo.
    5. Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2018. "Firms’ and households’ investment in Italy: the role of credit constraints and other macro factors," Temi di discussione (Economic working papers) 1167, Bank of Italy, Economic Research and International Relations Area.
    6. Landon, Stuart & Smith, Constance E., 2009. "Investment and the exchange rate: Short run and long run aggregate and sector-level estimates," Journal of International Money and Finance, Elsevier, vol. 28(5), pages 813-835, September.
    7. Simon Price & Christoph Schleicher, 2006. "Returns to equity, investment and Q: evidence from the United Kingdom," Bank of England working papers 310, Bank of England.
    8. Michael McMahon & Gabriel Sterne & Jamie Thompson, 2005. "The role of ICT in the global investment cycle," Bank of England working papers 257, Bank of England.
    9. Jürgen Antony & Michiel Bijlsma & Adam Elbourne & Marcel Lever & Gijsbert Zwart, 2012. "Financial transaction tax: review and assessment," CPB Discussion Paper 202, CPB Netherlands Bureau for Economic Policy Analysis.
    10. Mr. Shaun K. Roache, 2006. "Domestic Investment and the Cost of Capital in the Caribbean," IMF Working Papers 2006/152, International Monetary Fund.
    11. Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2022. "Assessing the usefulness of survey‐based data in forecasting firms' capital formation: Evidence from Italy," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(3), pages 491-513, April.
    12. Claire Giordano & Marco Marinucci & Andrea Silvestrini, 2021. "Forecasting corporate capital accumulation in Italy: the role of survey-based information," Questioni di Economia e Finanza (Occasional Papers) 596, Bank of Italy, Economic Research and International Relations Area.
    13. Burgess, Stephen & Fernandez-Corugedo, Emilio & Groth, Charlotta & Harrison, Richard & Monti, Francesca & Theodoridis, Konstantinos & Waldron, Matt, 2013. "The Bank of England's forecasting platform: COMPASS, MAPS, EASE and the suite of models," Bank of England working papers 471, Bank of England.
    14. Simon Price & Christoph Schleicher, 2005. "Returns To Equity, Investment And Q: Evidence From The Uk," Manchester School, University of Manchester, vol. 73(s1), pages 32-57, September.
    15. Shaun K. Roache, 2006. "Domestic Investment and the Cost of Capital in the Caribbean," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 6(3).
    16. Igor Fedotenkov, 2016. "Labour Shares, Fertility and Longevity in an OLG model," Bank of Lithuania Working Paper Series 28, Bank of Lithuania.

  18. Economides, George & Philippopoulos, Apostolis & Price, Simon, 2003. "How elections affect fiscal policy and growth: revisiting the mechanism," European Journal of Political Economy, Elsevier, vol. 19(4), pages 777-792, November.

    Cited by:

    1. Angelopoulos, Konstantinos & Economides, George & Kammas, Pantelis, 2007. "Tax-spending policies and economic growth: Theoretical predictions and evidence from the OECD," European Journal of Political Economy, Elsevier, vol. 23(4), pages 885-902, December.
    2. Jim Malley & Apostolis Philippopoulos & Ulrich Woitek, 2005. "Electoral Uncertainty, Fiscal Policy and Macroeconomic Fluctuations," CESifo Working Paper Series 1593, CESifo.
    3. Bittencourt, Manoel & Gupta, Rangan & Makena, Philton & Stander, Lardo, 2022. "Socio-political instability and growth dynamics," Economic Systems, Elsevier, vol. 46(4).
    4. Konstantinos Angelopoulos & George Economides, 2008. "Fiscal policy, rent seeking, and growth under electoral uncertainty: theory and evidence from the OECD," Canadian Journal of Economics, Canadian Economics Association, vol. 41(4), pages 1375-1405, November.
    5. Fredrik Carlsen, 2006. "Election cycles, party ideology and incumbent popularity: theory and evidence for OECD economies," Working Paper Series 7906, Department of Economics, Norwegian University of Science and Technology.
    6. Syed Ammad & Sabihuddin Butt & Shaista Alam, 2012. "Fiscal Responsiveness, Persistence and Discretion: A Case Study of Pakistan," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 15(45), pages 227-244, September.
    7. Diego Aboal, 2020. "Electoral systems and economic growth," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(3), pages 781-805, October.
    8. Baldacci, Emanuele & Hillman, Arye L. & Kojo, Naoko C., 2004. "Growth, governance, and fiscal policy transmission channels in low-income countries," European Journal of Political Economy, Elsevier, vol. 20(3), pages 517-549, September.
    9. María García-Vega & José Herce, 2011. "Does tenure in office affect regional growth? The role of public capital productivity," Public Choice, Springer, vol. 146(1), pages 75-92, January.

  19. Maria Kasch-Haroutounian & Simon Price, 2001. "Volatility in the transition markets of Central Europe," Applied Financial Economics, Taylor & Francis Journals, vol. 11(1), pages 93-105.

    Cited by:

    1. Gjika, Dritan & Horváth, Roman, 2013. "Stock market comovements in Central Europe: Evidence from the asymmetric DCC model," Economic Modelling, Elsevier, vol. 33(C), pages 55-64.
    2. Erginbay UGURLU, 2014. "Forecasting Volatility: Evidence from the Bucharest Stock Exchange," International Conference on Economic Sciences and Business Administration, Spiru Haret University, vol. 1(1), pages 302-310, December.
    3. Gebka, Bartosz & Serwa, Dobromil, 2007. "Intra- and inter-regional spillovers between emerging capital markets around the world," Research in International Business and Finance, Elsevier, vol. 21(2), pages 203-221, June.
    4. Tsuji, Chikashi, 2020. "Correlation and spillover effects between the US and international banking sectors: New evidence and implications for risk management," International Review of Financial Analysis, Elsevier, vol. 70(C).
    5. Bohl, Martin T. & Henke, Harald, 2003. "Trading volume and stock market volatility: The Polish case," International Review of Financial Analysis, Elsevier, vol. 12(5), pages 513-525.
    6. Kovačić, Zlatko, 2007. "Forecasting volatility: Evidence from the Macedonian stock exchange," MPRA Paper 5319, University Library of Munich, Germany.
    7. Dragan Tevdovski, 2014. "Extreme negative coexceedances in South Eastern European stock markets," CREATES Research Papers 2014-18, Department of Economics and Business Economics, Aarhus University.
    8. Ben Rejeb, Aymen & Arfaoui, Mongi, 2016. "Financial market interdependencies: A quantile regression analysis of volatility spillover," Research in International Business and Finance, Elsevier, vol. 36(C), pages 140-157.
    9. Horvath, Roman & Petrovski, Dragan, 2013. "International stock market integration: Central and South Eastern Europe compared," Economic Systems, Elsevier, vol. 37(1), pages 81-91.
    10. Cajueiro, Daniel O. & Tabak, Benjamin M., 2006. "Testing for predictability in equity returns for European transition markets," Economic Systems, Elsevier, vol. 30(1), pages 56-78, March.
    11. Laura Wallenius & Elena Fedorova & Sheraz Ahmed & Mikael Collan, 2017. "Surprise Effect of Euro Area Macroeconomic Announcements on CIVETS Stock Markets," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(1), pages 55-71.
    12. Li, Hong & Majerowska, Ewa, 2006. "Stock market integration: a multivariate GARCH analysis on Poland and Hungary," Economics Discussion Papers 2006-2, School of Economics, Kingston University London.
    13. Aymen Ben Rejeb, 2013. "Volatility spillovers and contagion: an empirical analysis of structural changes in emerging market volatility," Economics Bulletin, AccessEcon, vol. 33(1), pages 56-71.
    14. Ani Stoykova & Mariya Paskaleva, 2018. "Correlation Dynamics between Southeast European Capital Markets," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 49-82.
    15. Alar Kein, 2005. "An Investigation of the Role of Cross-Border Spillover of Returns and Volatility in the Estonian Stock Market," Working Papers 120, Tallinn School of Economics and Business Administration, Tallinn University of Technology.
    16. Kundu, Srikanta & Sarkar, Nityananda, 2016. "Return and volatility interdependences in up and down markets across developed and emerging countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 297-311.
    17. Saleem, Kashif, 2008. "International linkage of the Russian market and the Russian financial crisis: a multivariate GARCH analysis," BOFIT Discussion Papers 8/2008, Bank of Finland Institute for Emerging Economies (BOFIT).
    18. Shreevastava Aman & Raza Shahil & Bharat Kumar Meher & Ramona Birau & Anand Abhishek & Mircea Laurentiu Simion & Nadia Tudora Cirjan, 2024. "Exploring Advanced GARCH Models for Analyzing Asymmetric Volatility Dynamics for the Emerging Stock Market in Hungary: An Empirical Case Study," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 41-52.
    19. Shyh‐Wei Chen & Chung‐Hua Shen, 2004. "Price Common Volatility or Volume Common Volatility? Evidence from Taiwan's Exchange Rate and Stock Markets," Asian Economic Journal, East Asian Economic Association, vol. 18(2), pages 185-211, June.
    20. Leonardo Badea & Daniel Ştefan Armeanu & Iulian Panait & Ştefan Cristian Gherghina, 2019. "A Markov Regime Switching Approach towards Assessing Resilience of Romanian Collective Investment Undertakings," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    21. Aycan HEPSAG, 2016. "Asymmetric stochastic volatility in central and eastern European stock markets," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(2(607), S), pages 135-144, Summer.
    22. Aymen Ben Rejeb & Adel Boughrara, 2015. "Financial integration in emerging market economies: Effects on volatility transmission and contagion," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 15(3), pages 161-179, September.
    23. Ioannis A. Tampakoudis & Demetres N. Subeniotis & Ioannis G. Kroustalis, 2012. "Modelling volatility during the current financial crisis: an empirical analysis of the US and the UK stock markets," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 5(3/4), pages 171-194.
    24. Josip Arneric & Elza Jurun & Snježana Pivac, 2008. "Multivariate Risk-Return Decision Making Within Dynamic Estimation," Economic Analysis Working Papers (2002-2010). Atlantic Review of Economics (2011-2016), Colexio de Economistas de A Coruña, Spain and Fundación Una Galicia Moderna, vol. 7, pages 1-11, October.
    25. Shenqiu Zhang & Ivan Paya & David Peel, 2009. "Linkages between Shanghai and Hong Kong stock indices," Applied Financial Economics, Taylor & Francis Journals, vol. 19(23), pages 1847-1857.
    26. Elena Fedorova & Kashif Saleem, 2010. "Volatility Spillovers between Stock and Currency Markets: Evidence from Emerging Eastern Europe," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 60(6), pages 519-533, December.
    27. Habibeh Sherafatmand & Saeed Yazdani, 2014. "The management of price risk in Iranian dates: An application of futures instruments," Cogent Economics & Finance, Taylor & Francis Journals, vol. 2(1), pages 1-12, December.
    28. Jian Yang & Jin Zhang & David J. Leatham, 2003. "Price and Volatility Transmission in International Wheat Futures," Annals of Economics and Finance, Society for AEF, vol. 4(1), pages 37-50, May.
    29. Krzysztof DRACHAL, 2017. "Volatility Clustering, Leverage Effects and Risk-Return Tradeoff in the Selected Stock Markets in the CEE Countries," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 37-53, September.
    30. Pappas, Vasileios & Ingham, Hilary & Izzeldin, Marwan & Steele, Gerry, 2016. "Will the crisis “tear us apart”? Evidence from the EU," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 346-360.
    31. Claudeci Da Silva & Hugo Agudelo Murillo & Joaquim Miguel Couto, 2014. "Early Warning Systems: Análise De Ummodelo Probit De Contágio De Crise Dos Estados Unidos Para O Brasil(2000-2010)," Anais do XL Encontro Nacional de Economia [Proceedings of the 40th Brazilian Economics Meeting] 110, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    32. Jian Yang, 2006. "Information transmission between Eurocurrency and domestic interest rates: evidence from the UK," Applied Financial Economics, Taylor & Francis Journals, vol. 16(9), pages 675-685.

  20. Dimitrios Asteriou & Simon Price, 2001. "Political Instability and Economic Growth: UK Time Series Evidence," Scottish Journal of Political Economy, Scottish Economic Society, vol. 48(4), pages 383-399, September.

    Cited by:

    1. Cao, Lansheng & Jin, Ding & Gu, Ming & Wang, Changyan, 2024. "Direct and indirect influence of natural resources and regional integration on green growth: Exploring the role of political risk in South Asia," Resources Policy, Elsevier, vol. 89(C).
    2. Zheng, Jingling & Li, Zeyun & Ghardallou, Wafa & Wei, Xuecheng, 2023. "Natural resources and economic performance: Understanding the volatilities caused by financial, political and economic risk in the context of China," Resources Policy, Elsevier, vol. 84(C).
    3. Andreas Brunhart, 2014. "Stock Market's Reactions to Revelation of Tax Evasion: An Empirical Assessment," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 150(III), pages 161-190, September.
    4. Dervis Kirikkaleli & Fusun Celebi Boz & Melike Torun, 2024. "Do Economic and Financial Stabilities Matter for Political Stability in Estonia?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 15202-15217, September.
    5. Cruz A. Echevarría & Javier García-Enríquez, 2020. "The economic cost of the Arab Spring: the case of the Egyptian revolution," Empirical Economics, Springer, vol. 59(3), pages 1453-1477, September.
    6. Oluwabunmi O. Adejumo & Simplice A. Asongu & Akintoye V. Adejumo, 2021. "Education Enrollment Rate vs Employment Rate: Implications for Sustainable Human Capital Development in Nigeria," Research Africa Network Working Papers 21/013, Research Africa Network (RAN).
    7. Karanasos, Menelaos & Campos, Nauro, 2007. "Growth, Volatility and Political Instability: Non-Linear Time-Series Evidence for Argentina, 1896-2000," CEPR Discussion Papers 6524, C.E.P.R. Discussion Papers.
    8. Raza Ali & Tursoy Turgut & Shaikh Erum & Shaikh Ahsan-ul-Haque, 2024. "Investigating the Symmetric Effects of Working Capital on Profitability in Turkish Banking: An ARDL Empirical Analysis," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 34(1), pages 74-97, March.
    9. Nabila Khurshid & Hamza Sharif & Mosab I. Tabash & Basem Hamouri & Asma Fiaz & Fozia Munir, 2023. "Analyzing the Impact of Foreign Capital Inflows and Political Economy on Economic Growth: An Application of Regime Switching Model," Economies, MDPI, vol. 11(7), pages 1-17, June.
    10. Hasan Vergil & Erdogan Teyyare, 2017. "Crisis, Institutional Quality and Economic Growth," Bogazici Journal, Review of Social, Economic and Administrative Studies, Bogazici University, Department of Economics, vol. 31(2), pages 1-19.
    11. Li, Kaixian & Wang, Dongyu & Xu, Tong & Zhang, Yuqi, 2024. "Financial development and resource-curse hypothesis: Moderating role of internal and external conflict in the MENA region," Resources Policy, Elsevier, vol. 90(C).
    12. Luqman, Muhammad & Antonakakis, Nikolaos, 2021. "Guns better than butter in Pakistan? The dilemma of military expenditure, human development, and economic growth," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    13. Taiwo Akinlo & Omobola Hannah Arowolo & Taofeek Bidemi Zubair, "undated". "Political instability and economic growth in Nigeria," Review of Socio - Economic Perspectives 202209, Reviewsep.
    14. Perekunah B. Eregha & Festus O. Egwaikhide & Emeka Osuji, 2020. "Modeling Exchange Rate Volatility in Selected WAMZ Countries: Evidence from Symmetric and Asymmetric GARCH Models," SPOUDAI Journal of Economics and Business, SPOUDAI Journal of Economics and Business, University of Piraeus, vol. 70(1-2), pages 58-80, January-J.
    15. Kashif Hamid & Rana Shahid Imdad Akash & Muhammad Mudasar Ghafoor, 2018. "Volatility of Regional Sharia Compliance Returns and US News Impact," Global Regional Review, Humanity Only, vol. 3(1), pages 294-307, June.
    16. Demir, Firat, 2006. "Volatility of short term capital flows and socio-political instability in Argentina, Mexico and Turkey," MPRA Paper 1943, University Library of Munich, Germany.
    17. Mahmut Yardimcioglu & Ahmet Ilhan, 2016. "A Study Regarding the Advances of Political Stability and Economic Development Experienced in Turkey during the Periods of 1980-2015," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(10), pages 167-175, October.
    18. Nauro Campos & Menelaos Karanasos, 2007. "Growth, Volatility & Political Instability: Non Linear Time Series Evidence for Argentina 1896-2000," William Davidson Institute Working Papers Series wp891, William Davidson Institute at the University of Michigan.
    19. Hartwell, Christopher A., 2018. "The impact of institutional volatility on financial volatility in transition economies," Journal of Comparative Economics, Elsevier, vol. 46(2), pages 598-615.
    20. Papaioannou, Sotiris, 2020. "Political instability and economic growth at different stages of economic development:: historical evidence from Greece," LSE Research Online Documents on Economics 106124, London School of Economics and Political Science, LSE Library.
    21. Campos, Nauro & Karanasos, Menelaos & Tan, Bin, 2008. "Two to Tangle: Financial Development, Political Instability and Economic Growth in Argentina (1896-2000)," CEPR Discussion Papers 7004, C.E.P.R. Discussion Papers.
    22. Shahzad Hussain & Syed Muhammad Amir Shah, 2017. "Corporate Governance and Downside Systematic Risk with a Moderating Role of Socio-Political in Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(4), pages 233-258, December.
    23. Hugo Oriola & Matthieu Picault, 2023. "Opportunistic Political Central Bank Coverage: Does media coverage of ECB's Monetary Policy Impacts German Political Parties' Popularity?," Working Papers hal-04273091, HAL.
    24. Mariusz Próchniak, 2013. "To What Extent Is the Institutional Environment Responsible for Worldwide Differences in Economic Development," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 7(3), September.
    25. Zareen Zafar & Danish Ahmed Siddiqui, 2020. "The Effect of Uncertainty on Stock Returns and Risk-returns (Volatility) Relationship Across Military and Democratic Regimes in Pakistan," Marketing and Branding Research, EUROKD, vol. 7(1), pages 24-46.
    26. Ihsen Abid & Salha Ben Salem & Wajdi Frikha, 2024. "Impact of political instability of monetary policy conduct and economic activity recovery: empirical investigation," SN Business & Economics, Springer, vol. 4(12), pages 1-18, December.
    27. Dirks, Maximilian & Schmidt, Torsten, 2023. "The relationship between political instability and economic growth in advanced economies: Empirical evidence from a panel VAR and a dynamic panel FE-IV analysis," Ruhr Economic Papers 1000, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    28. Ghulam, Yaseen & Dhruva, Kamini, 2024. "Banking sector reforms in a challenging environment: An emerging financial market experience," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 1074-1096.
    29. Nurudeen Abu & Mohd Zaini Abd Karim & Mukhriz Izraf Azman Aziz, 2015. "Corruption, Political Instability and Economic Development in the Economic Community of West African States (ECOWAS): Is There a Causal Relationship?," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 9(1), March.
    30. Emery Thomas J. & Kovac Mitja & Spruk Rok, 2023. "Estimating the Effects of Political Instability in Nascent Democracies," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 243(6), pages 599-642, December.
    31. Wang, Jun-Zhuo & Feng, Gen-Fu & Chang, Chun-Ping, 2024. "How does political instability affect renewable energy innovation?," Renewable Energy, Elsevier, vol. 230(C).
    32. La Ode Saidi & Hasan Aedy & Fajar Saranani & Rosnawintang Rosnawintang & Pasrun Adam & La Ode Arsad Sani, 2020. "Crude Oil Price and Exchange Rate: An Analysis of the Asymmetric Effect and Volatility Using the Non Linear Autoregressive Distributed Lag and General Autoregressive Conditional Heterochedasticity in ," International Journal of Energy Economics and Policy, Econjournals, vol. 10(1), pages 104-108.
    33. Esra Soyu Yıldırım & Cuma Demirtaş & Munise Ilıkkan Özgür, 2022. "Causality Relationship Between Economic, Financial, Political Risk and Growth: The Case of Turkey," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 9(1), pages 165-186, January.
    34. J. Brandon Bolen & Russell S. Sobel, 2020. "Does Balance Among Areas of Institutional Quality Matter for Economic Growth?," Southern Economic Journal, John Wiley & Sons, vol. 86(4), pages 1418-1445, April.
    35. Zeeshan, Muhammad & han, Jiabin & Rehman, Alam & Ullah, Irfan & Hussain, Arif & Alam Afridi, Fakhr E., 2022. "Exploring symmetric and asymmetric nexus between corruption, political instability, natural resources and economic growth in the context of Pakistan," Resources Policy, Elsevier, vol. 78(C).
    36. Pasha, Sukrishnalall, 2020. "The impact of political instability on economic growth: the case of Guyana," MPRA Paper 103145, University Library of Munich, Germany.
    37. Wajid Alim & Naqib Ullah Khan & Vince Wanhao Zhang & Helen Huifen Cai & Alexey Mikhaylov & Qiong Yuan, 2024. "Influence of political stability on the stock market returns and volatility: GARCH and EGARCH approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-17, December.
    38. Maeenuddin & Shaari Abd Hamid & Annuar MD Nassir & Mochammad Fahlevi & Mohammed Aljuaid & Kittisak Jermsittiparsert, 2024. "Measuring the Financial Sustainability and its Influential Factors in Microfinance Sector of Pakistan," SAGE Open, , vol. 14(3), pages 21582440241, July.
    39. Abdul Rauf & Ameer Muhammad Aamir Abbas & Asim Rafiq & Saifullah Shakir & Saira Abid, 2022. "The Impact of Political Instability, Food Prices, and Crime Rate on Tourism: A Way toward Sustainable Tourism in Pakistan," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    40. Dervis Kirikkaleli, 2020. "Does political risk matter for economic and financial risks in Venezuela?," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 9(1), pages 1-10, December.
    41. Hartwell, Christopher A., 2014. "The impact of institutional volatility on financial volatility in transition economies: a GARCH family approach," BOFIT Discussion Papers 6/2014, Bank of Finland Institute for Emerging Economies (BOFIT).
    42. Yanyan, Fu & Dong, Xitao, 2024. "Exploring the influence of internal and external conflicts on the resource curse hypothesis in OECD countries," Resources Policy, Elsevier, vol. 88(C).
    43. Klomp, Jeroen & de Haan, Jakob, 2009. "Political institutions and economic volatility," European Journal of Political Economy, Elsevier, vol. 25(3), pages 311-326, September.
    44. Mrabet, Zouhair & Alsamara, Mouyad & Mimouni, Karim & Mnasri, Ayman, 2021. "Can human development and political stability improve environmental quality? New evidence from the MENA region," Economic Modelling, Elsevier, vol. 94(C), pages 28-44.

  21. Dimitrios Asteriou & Simon Price, 2000. "Financial Development and Economic Growth: Time Series Evidence for the case of UK," Ekonomia, Cyprus Economic Society and University of Cyprus, vol. 4(2), pages 122-141, Winter.

    Cited by:

    1. Ali Umar Ahmad & Adam Abdullah & Zunaidah Sulong & Ahmad Tijjani Abdullahi, 2015. "The Review of Stock Returns and Macroeconomic Variables," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 5(5), pages 154-181, May.
    2. Rao, B. Bhaskara & Takirua, Toani, 2006. "The effects of exports, aid and remittances on output: The case of Kiribati," MPRA Paper 1548, University Library of Munich, Germany.
    3. Dimitrios Asteriou & Konstantinos Spanos & Emmanouil Trachanas, 2024. "Financial development, economic growth and the role of fiscal policy during normal and stress times: Evidence for 26 EU countries," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 2495-2514, April.
    4. Bhaskara Rao & Maheshwar Rao, 2005. "Determinants Of Growth Rate: Some Methodological Issues With Data From Fiji," Macroeconomics 0509003, University Library of Munich, Germany.

  22. Price, Simon & Sanders, David, 1998. "By-Elections, Changing Fortunes, Uncertainty and the Mid-Term Blues," Public Choice, Springer, vol. 95(1-2), pages 131-148, April.

    Cited by:

    1. Caladan Barkovic-Parsons & Robert Hodgson & John Maloney, 2017. "Are marginals different? Evidence from British elections 1950–2015," Public Choice, Springer, vol. 171(3), pages 303-321, June.
    2. Robert Hodgson & John Maloney, 2010. "Economic Voting in Britain, 1857-1914," Discussion Papers 1009, University of Exeter, Department of Economics.
    3. Hanretty, Chris, 2021. "Forecasting multiparty by-elections using Dirichlet regression," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1666-1676.

  23. Price, Simon & Nasim, Anjum, 1998. "Modelling inflation and the demand for money in Pakistan; cointegration and the causal structure," Economic Modelling, Elsevier, vol. 16(1), pages 87-103, January.

    Cited by:

    1. Rizvi, Syed Kumail Abbas & Naqvi, Bushra, 2008. "Asymmetric Behavior of Inflation Uncertainty and Friedman-Ball Hypothesis: Evidence from Pakistan," MPRA Paper 19488, University Library of Munich, Germany.
    2. Johannes VAN DER POL, 2016. "The modelling of networks using Exponential Random Graph Models: an introduction," Cahiers du GREThA (2007-2019) 2016-22, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    3. Safdar Ullah Khan & Omar Farooq Saqib, 2009. "Political Instability and Inflation in Pakistan," SBP Working Paper Series 29, State Bank of Pakistan, Research Department.
    4. S. Adnan & H.A.S. BUKHARI & Safdar Ullah KHAN, 2008. "Does Volatility In Government Borrowing Leads To Higher Inflation? Evidence From Pakistan," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 3(3(5)_Fall), pages 187-202.
    5. Johannes van Der Pol, 2017. "Introduction to network modeling using Exponential Random Graph models (ERGM)," Working Papers hal-01284994, HAL.
    6. Syed Kumail Abbas Naqvi & Bushra Naqvi, 2010. "Asymmetric Behavior of Inflation Uncertainty and Friedman-Ball Hypothesis: Evidence from Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 15(2), pages 1-33, Jul-Dec.
    7. Rizvi, Syed Kumail Abbas & Naqvi, Bushra, 2009. "Inflation Volatility: An Asian Perspective," MPRA Paper 19489, University Library of Munich, Germany.
    8. International Monetary Fund, 2005. "Three Attempts at Inflation Forecasting in Pakistan," IMF Working Papers 2005/105, International Monetary Fund.

  24. Price, Simon, 1998. "Comment on ‘The Politics of the Political Business Cycle’," British Journal of Political Science, Cambridge University Press, vol. 28(1), pages 185-222, January.

    Cited by:

    1. Sean J. Gossel & Nicholas Biekpe, 2012. "The nominal rand/dollar exchange rate: before and after 1995," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 29(2), pages 105-117, June.

  25. Price, Simon, 1997. "Political Business Cycles and Macroeconomic Credibility: A Survey," Public Choice, Springer, vol. 92(3-4), pages 407-427, September.

    Cited by:

    1. Burton Abrams & Plamen Iossifov, 2006. "Does the Fed Contribute to a Political Business Cycle?," Public Choice, Springer, vol. 129(3), pages 249-262, December.
    2. Cristiana Fiorelli & Nicola Pontarollo & Carolina Serpieri, 2022. "Legislative interventions for the Italian local public financial distress," Working Papers in Public Economics 219, Department of Economics and Law, Sapienza University of Roma.
    3. Burton A. Abrams, 2006. "How Richard Nixon Pressured Arthur Burns: Evidence from the Nixon Tapes," Working Papers 06-04, University of Delaware, Department of Economics.
    4. Verstyuk Sergey, "undated". "Electoral cycles in Ukraine," EERC Working Paper Series 02-209e, EERC Research Network, Russia and CIS.
    5. Potrafke, Niklas, 2009. "Political cycles and economic performance in OECD countries: empirical evidence from 1951-2006," MPRA Paper 23751, University Library of Munich, Germany.
    6. Eric Dubois, 2016. "Political Business Cycles 40 Years after Nordhaus," Post-Print hal-01291401, HAL.
    7. Nie, Huihua & Jiang, Minjie & Wang, Xianghong, 2013. "The impact of political cycle: Evidence from coalmine accidents in China," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 995-1011.
    8. Eric Dubois, 2016. "Political business cycles 40 years after Nordhaus," Public Choice, Springer, vol. 166(1), pages 235-259, January.
    9. Mark Lijesen & Victoria Shestalova, 2007. "Public and private roles in road infrastructure: an exploration of market failure, public instruments and government failure," CPB Document 146, CPB Netherlands Bureau for Economic Policy Analysis.
    10. Keshab Bhattarai, 2015. "Financial deepening and economic growth," Applied Economics, Taylor & Francis Journals, vol. 47(11), pages 1133-1150, March.
    11. Chun‐ping Chang & Yung‐hsiang Ying & Meng‐chi Hsieh, 2009. "Impact Of Macroeconomic Conditions On Government Popularity: An Ecowas Investigation," South African Journal of Economics, Economic Society of South Africa, vol. 77(1), pages 28-44, March.
    12. Keshab Bhattarai, 2015. "Financial Deepening and Economic Growth in Advanced and Emerging Economies," Review of Development Economics, Wiley Blackwell, vol. 19(1), pages 178-195, February.
    13. Mechtel, Mario & Potrafke, Niklas, 2009. "Political Cycles in Active Labor Market Policies," MPRA Paper 22780, University Library of Munich, Germany, revised May 2010.
    14. Alexander Dentler, 2019. "Did the fed raise interest rates before elections?," Public Choice, Springer, vol. 181(3), pages 239-273, December.
    15. Eric Dubois, 2016. "Political Business Cycles 40 Years after Nordhaus," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01291401, HAL.

  26. Price, Simon & Sanders, David, 1994. "Economic Competence, Rational Expectations and Government Popularity in Post-War Britain," The Manchester School of Economic & Social Studies, University of Manchester, vol. 62(3), pages 296-312, September.

    Cited by:

    1. Jim Malley & Apostolis Philippopoulos & Ulrich Woitek, 2005. "Electoral Uncertainty, Fiscal Policy and Macroeconomic Fluctuations," CESifo Working Paper Series 1593, CESifo.
    2. Antoine Auberger, 2011. "Popularity Functions for the French President and Prime Minister (1995-2007)," Working Papers halshs-00872313, HAL.
    3. Eichengreen, Barry & Ritschl, Albrecht, 2008. "Understanding West German economic growth in the 1950s," SFB 649 Discussion Papers 2008-068, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    4. George Economides & Jim Malley & Apostolis Philippopoulos & Ulrich Woitek, 2003. "Electoral Uncertainty, Fiscal Policies & Growth: Theory and Evidence from Germany, the UK and the US," CESifo Working Paper Series 1072, CESifo.
    5. George Economides & Jim Malley & Apostolis Philippopoulos & Ulrich Woitek, 2003. "Electoral Uncertainty, Fiscal Policies and Growth: Theory and Evidence from Germany, the UK and the US," Working Papers 2003_16, Business School - Economics, University of Glasgow.

  27. Price, Simon, 1994. "Aggregate Uncertainty, Forward Looking Behaviour and the Demand for Manufacturing Labour in the UK," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(3), pages 267-283, August.

    Cited by:

    1. Dutta Roy, Sudipta, 2004. "Employment dynamics in Indian industry: adjustment lags and the impact of job security regulations," Journal of Development Economics, Elsevier, vol. 73(1), pages 233-256, February.
    2. Stuart Glosser & Lonnie Golden, 2005. "Is labour becoming more or less flexible? Changing dynamic behaviour and asymmetries of labour input in US manufacturing," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 29(4), pages 535-557, July.
    3. Stilianos Fountas & Menelaos Karanasos & Marika Karanassou, 2000. "A GARCH Model of Inflation and Inflation Uncertainty with Simultaneous Feedback," Working Papers 414, Queen Mary University of London, School of Economics and Finance.
    4. Estrella, Arturo, 2004. "The cyclical behavior of optimal bank capital," Journal of Banking & Finance, Elsevier, vol. 28(6), pages 1469-1498, June.
    5. Murray, Jonathan & Sarantis, Nicholas, 1999. "Quality, user cost, forward-looking behavior, and the demand for cars in the UK," Journal of Economics and Business, Elsevier, vol. 51(3), pages 237-258, May.
    6. Ingvild Svendsen, 1998. "Rational Expectations in Price Setting. Tests Based on Norwegian Export Prices," Discussion Papers 226, Statistics Norway, Research Department.

  28. Price, Simon, 1992. "Human Capital, Hysteresis and Unemployment among Workers with Finite Lives," Scottish Journal of Political Economy, Scottish Economic Society, vol. 39(2), pages 201-212, May.

    Cited by:

    1. William J. Luther & J. P. McElyea, 2018. "Austrian Macroeconomics in Search of Its Uniqueness," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 33(Summer 20), pages 1-20.

  29. Price, Simon, 1992. "Forward Looking Price Setting in UK Manufacturing," Economic Journal, Royal Economic Society, vol. 102(412), pages 497-505, May.

    Cited by:

    1. Sharon Kozicki & Peter A. Tinsley, 1998. "Vector rational error correction," Research Working Paper 98-03, Federal Reserve Bank of Kansas City.
    2. Ida Wolden Bache & Bjørn E. Naug, 2008. "Estimating New Keynesian import price models," Working Paper 2007/15, Norges Bank.
    3. Yew-Kwang Ng & Ying Wu, 2004. "Multiple Equilibria and Interfirm Macro-Externality: An Analysis of Sluggish Real Adjustment," Annals of Economics and Finance, Society for AEF, vol. 5(1), pages 61-77, May.
    4. Fanelli, Luca, 2006. "Multi-equational linear quadratic adjustment cost models with rational expectations and cointegration," Journal of Economic Dynamics and Control, Elsevier, vol. 30(3), pages 445-456, March.
    5. Sienknecht, Sebastian, 2016. "Reassessing price adjustment costs in DSGE models," MPRA Paper 73763, University Library of Munich, Germany.
    6. Ireland, Peter N., 2001. "Sticky-price models of the business cycle: Specification and stability," Journal of Monetary Economics, Elsevier, vol. 47(1), pages 3-18, February.
    7. Luca Fanelli, 2008. "Testing the New Keynesian Phillips Curve Through Vector Autoregressive Models: Results from the Euro Area," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(1), pages 53-66, February.
    8. Colin Ellis & Simon Price, 2003. "The impact of price competitiveness on UK producer price behaviour," Bank of England working papers 178, Bank of England.
    9. Fanelli, Luca, 2002. "A new approach for estimating and testing the linear quadratic adjustment cost model under rational expectations and I(1) variables," Journal of Economic Dynamics and Control, Elsevier, vol. 26(1), pages 117-139, January.
    10. Fagan, Gabriel & Henry, Jerome & Mestre, Ricardo, 2005. "An area-wide model for the euro area," Economic Modelling, Elsevier, vol. 22(1), pages 39-59, January.
    11. Smith, Peter N., 2000. "Output price determination and the business cycle," Economic Modelling, Elsevier, vol. 17(1), pages 49-69, January.
    12. David Aristei & Luca Pieroni, 2007. "Habits, Complementarities and Heterogenenity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Working Papers 38/2007, University of Verona, Department of Economics.
    13. Murray, Jonathan & Sarantis, Nicholas, 1999. "Quality, user cost, forward-looking behavior, and the demand for cars in the UK," Journal of Economics and Business, Elsevier, vol. 51(3), pages 237-258, May.
    14. Fagan, Gabriel & Henry, Jérôme & Mestre, Ricardo, 2001. "An area-wide model (AWM) for the euro area," Working Paper Series 42, European Central Bank.
    15. Valerie Herzberg & George Kapetanios & Simon Price, 2003. "Import prices and exchange rate pass-through: theory and evidence from the United Kingdom," Bank of England working papers 182, Bank of England.
    16. Ida Wolden Bache, 2008. "Assessing estimates of the exchange rate pass-through," Working Paper 2007/12, Norges Bank.
    17. Binder, Michael & Pesaran, Hashem, 2000. "Solution of finite-horizon multivariate linear rational expectations models and sparse linear systems," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 325-346, March.
    18. Ingvild Svendsen, 1998. "Rational Expectations in Price Setting. Tests Based on Norwegian Export Prices," Discussion Papers 226, Statistics Norway, Research Department.

  30. Chatterji, Monojit & Price, Simon, 1988. "Unions, Dutch Disease and Unemployment," Oxford Economic Papers, Oxford University Press, vol. 40(2), pages 302-321, June.

    Cited by:

    1. Pilar Poncela & Eva Senra & Lya Paola Sierra, 2017. "Long-term links between raw materials prices, real exchange rate and relative de-industrialization in a commodity-dependent economy: empirical evidence of “Dutch disease” in Colombia," Empirical Economics, Springer, vol. 52(2), pages 777-798, March.
    2. Erling Røed Larsen, 2004. "Escaping the Resource Curse and the Dutch Disease? When and Why Norway Caught up with and Forged ahead of Its Neighbors," Discussion Papers 377, Statistics Norway, Research Department.
    3. Nicolás Magud & Sebastián Sosa, 2013. "When And Why Worry About Real Exchange Rate Appreciation? The Missing Link Between Dutch Disease And Growth," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 1-27.
    4. Rick Van der Ploeg, 2008. "Natural Resources: Curse or Blessing?," OxCarre Working Papers 005, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    5. Erling Røed Larsen, 2006. "Escaping the Resource Curse and the Dutch Disease?," American Journal of Economics and Sociology, Wiley Blackwell, vol. 65(3), pages 605-640, July.
    6. Lubimov, I.L. (Любимов, И.Л.), 2016. "The Impact of Resource Wealth on Economic Growth: A Review of Foreign Experience and Estimates for Russia [Влияние Ресурсного Богатства На Экономический Рост: Обзор Зарубежного Опыта И Оценки Для Р," Working Papers 2044, Russian Presidential Academy of National Economy and Public Administration.

  31. Price, Simon, 1985. "The Determinants of Equilibrium Unemployment in Britain: A Comment," Economic Journal, Royal Economic Society, vol. 95(377), pages 189-195, March.

    Cited by:

    1. Burgess, Simon & Turon, Helene, 2000. "Unemployment dynamics, duration and equilibrium: evidence from Britain," LSE Research Online Documents on Economics 20162, London School of Economics and Political Science, LSE Library.

  32. Junankar, P N & Price, Simon, 1984. "The Dynamics of Unemployment: Structural Change and Unemployment Flows," Economic Journal, Royal Economic Society, vol. 94(376a), pages 158-165, Supplemen.

    Cited by:

    1. Burgess, Simon & Turon, Helene, 2000. "Unemployment dynamics, duration and equilibrium: evidence from Britain," LSE Research Online Documents on Economics 20162, London School of Economics and Political Science, LSE Library.
    2. Zhongmin Wu & Shujie Yao, 2006. "On Unemployment Inflow and Outflow in Urban China," Regional Studies, Taylor & Francis Journals, vol. 40(8), pages 811-822.
    3. Junankar, Pramod N. (Raja) & Madsen, Jakob B., 2004. "Unemployment in the OECD: Models and Mysteries," IZA Discussion Papers 1168, Institute of Labor Economics (IZA).

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