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Stephen Gordon

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. Gordon, Stephen & St-Amour, Pascal, 1999. "A Preference Regime Model of Bull and Bear Markets," Cahiers de recherche 9906, Université Laval - Département d'économique.

    Mentioned in:

    1. Welfare costs of the business cycle and the equity premium
      by Stephen in Worthwhile Canadian Initiative on 2006-12-16 01:09:36
  2. John M. Maheu & Stephen Gordon, 2004. "Learning, Forecasting and Structural Breaks," Cahiers de recherche 0422, CIRPEE.

    Mentioned in:

    1. Economic growth and convergence
      by Stephen in Worthwhile Canadian Initiative on 2006-03-26 07:24:17
    2. Economic growth and convergence
      by Stephen Gordon in Worthwhile Canadian Initiative on 2009-12-24 17:00:00
  3. Gordon, Stephen & St-Amour, Pascal, 2003. "Asset Returns and State-Dependent Risk Preferences," Cahiers de recherche 0316, CIRPEE.

    Mentioned in:

    1. Welfare costs of the business cycle and the equity premium
      by Stephen in Worthwhile Canadian Initiative on 2006-12-16 01:09:36

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Gordon, Stephen, 1997. "Stochastic Trends, Deterministic Trends, and Business Cycle Turning Points," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(4), pages 411-434, July-Aug..

    Mentioned in:

    1. Stochastic trends, deterministic trends, and business cycle turning points (Journal of Applied Econometrics 1997) in ReplicationWiki ()

Working papers

  1. Stephen Gordon & Michel Truchon, 2006. "Social Choice, Optimal Inference and Figure Skating," Cahiers de recherche 0624, CIRPEE.

    Cited by:

    1. Marcus Pivato, 2013. "Voting rules as statistical estimators," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 40(2), pages 581-630, February.
    2. Truchon, Michel & Gordon, Stephen, 2009. "Statistical comparison of aggregation rules for votes," Mathematical Social Sciences, Elsevier, vol. 57(2), pages 199-212, March.
    3. Michel Truchon, 2002. "Choix social et comités de sélection : le cas du patinage artistique," CIRANO Burgundy Reports 2002rb-02, CIRANO.
    4. Diana Cheng & Peter Coughlin, 2017. "Using equations from power indices to analyze figure skating teams," Public Choice, Springer, vol. 170(3), pages 231-251, March.
    5. Eric Zitzewitz, 2014. "Does Transparency Reduce Favoritism and Corruption? Evidence From the Reform of Figure Skating Judging," Journal of Sports Economics, , vol. 15(1), pages 3-30, February.
    6. Boudreau, James & Ehrlich, Justin & Sanders, Shane & Winn, Adam, 2014. "Social choice violations in rank sum scoring: A formalization of conditions and corrective probability computations," Mathematical Social Sciences, Elsevier, vol. 71(C), pages 20-29.
    7. James Boudreau & Justin Ehrlich & Mian Farrukh Raza & Shane Sanders, 2018. "The likelihood of social choice violations in rank sum scoring: algorithms and evidence from NCAA cross country running," Public Choice, Springer, vol. 174(3), pages 219-238, March.

  2. Michel Truchon & Stephen Gordon, 2006. "Statistical Comparison of Aggregation Rules for Votes," Cahiers de recherche 0625, CIRPEE.

    Cited by:

    1. Marcus Pivato, 2013. "Voting rules as statistical estimators," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 40(2), pages 581-630, February.
    2. Stephen Gordon & Michel Truchon, 2008. "Social choice, optimal inference and figure skating," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 30(2), pages 265-284, February.
    3. Michel Truchon, 2005. "Aggregation of Rankings: a Brief Review of Distance-Based Rules," Cahiers de recherche 0534, CIRPEE.
    4. Pedro García-del-Valle-y-Durán & Eduardo Gamaliel Hernandez-Martinez & Guillermo Fernández-Anaya, 2022. "The Greatest Common Decision Maker: A Novel Conflict and Consensus Analysis Compared with Other Voting Procedures," Mathematics, MDPI, vol. 10(20), pages 1-39, October.
    5. Athanasios Spyridakos & Denis Yannacopoulos, 2015. "Incorporating collective functions to multicriteria disaggregation–aggregation approaches for small group decision making," Annals of Operations Research, Springer, vol. 227(1), pages 119-136, April.

  3. John M. Maheu & Stephen Gordon, 2004. "Learning, Forecasting and Structural Breaks," Cahiers de recherche 0422, CIRPEE.

    Cited by:

    1. Bauwens, Luc & Rombouts, Jeroen V.K., 2012. "On marginal likelihood computation in change-point models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3415-3429.
    2. 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.
    3. Barbara Rossi, 2011. "Advances in Forecasting Under Instability," Working Papers 11-20, Duke University, Department of Economics.
    4. Ardia, David & Dufays, Arnaud & Ordás Criado, Carlos, 2023. "Linking Frequentist and Bayesian Change-Point Methods," MPRA Paper 119486, University Library of Munich, Germany.
    5. Sjoerd van den Hauwe & Richard Paap & Dick J.C. van Dijk, 2011. "An Alternative Bayesian Approach to Structural Breaks in Time Series Models," Tinbergen Institute Discussion Papers 11-023/4, Tinbergen Institute.
    6. Thangjam, Aditya & Jaipuria, Sanjita & Dadabada, Pradeep Kumar, 2023. "Time-Varying approaches for Long-Term Electric Load Forecasting under economic shocks," Applied Energy, Elsevier, vol. 333(C).
    7. Arnaud Dufays & Jeroen V. K. Rombouts, 2019. "Sparse Change-point HAR Models for Realized Variance," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 857-880, September.
    8. Luc Bauwens & Gary Koop & Dimitris Korobilis & Jeroen V.K. Rombouts, 2011. "The Contribution of Structural Break Models to Forecasting Macroeconomic Series," Working Paper series 38_11, Rimini Centre for Economic Analysis.
    9. Shernaz Bodhanwala & Harsh Purohit & Nidhi Choudhary, 2020. "The Causal Dynamics in Indian Agriculture Commodity Prices and Macro-Economic Variables in the Presence of a Structural Break," Global Business Review, International Management Institute, vol. 21(1), pages 241-261, February.
    10. Jiawen Xu & Pierre Perron, 2015. "Forecasting in the presence of in and out of sample breaks," Boston University - Department of Economics - Working Papers Series wp2015-012, Boston University - Department of Economics.
    11. Geweke, John & Jiang, Yu, 2011. "Inference and prediction in a multiple-structural-break model," Journal of Econometrics, Elsevier, vol. 163(2), pages 172-185, August.
    12. John M. Maheu & Yong Song, 2012. "A New Structural Break Model with Application to Canadian Inflation Forecasting," Working Paper series 27_12, Rimini Centre for Economic Analysis.
    13. Smith, Simon C., 2017. "Equity premium estimates from economic fundamentals under structural breaks," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 49-61.
    14. Jian He & Asma Khedher & Peter Spreij, 2021. "A Kalman particle filter for online parameter estimation with applications to affine models," Statistical Inference for Stochastic Processes, Springer, vol. 24(2), pages 353-403, July.
    15. Dr. James Mitchell, 2009. "Macro Modelling with Many Models," National Institute of Economic and Social Research (NIESR) Discussion Papers 337, National Institute of Economic and Social Research.
    16. Yoontae Jeon & Thomas H. McCurdy, 2017. "Time-Varying Window Length for Correlation Forecasts," Econometrics, MDPI, vol. 5(4), pages 1-29, December.
    17. Gary Koop & Simon M. Potter, 2004. "Prior Elicitation in Multiple Change-point Models," Discussion Papers in Economics 04/26, Division of Economics, School of Business, University of Leicester.
    18. Maheu, John M & Song, Yong, 2017. "An Efficient Bayesian Approach to Multiple Structural Change in Multivariate Time Series," MPRA Paper 79211, University Library of Munich, Germany.
    19. Todd E. Clark & Michael W. McCracken, 2004. "Improving forecast accuracy by combining recursive and rolling forecasts," Research Working Paper RWP 04-10, Federal Reserve Bank of Kansas City.
    20. Michael L. Polemis & Thanasis Stengos, 2017. "Does Competition Prevent Industrial Pollution? Evidence from a Panel Threshold Model," Working Paper series 17-07, Rimini Centre for Economic Analysis.
    21. Evanthia Chatzitzisi & Stilianos Fountas & Theodore Panagiotidis, 2019. "Another Look at Calendar Anomalies," Working Paper series 19-07, Rimini Centre for Economic Analysis.
    22. Pesaran, M. Hashem & Pettenuzzo, Davide & Timmermann, Allan, 2004. "Forecasting Time Series Subject to Multiple Structural Breaks," IZA Discussion Papers 1196, Institute of Labor Economics (IZA).
    23. Zhongfang He & John M Maheu, 2008. "Real Time Detection of Structural Breaks in GARCH Models," Working Papers tecipa-336, University of Toronto, Department of Economics.
    24. Iraj Daizadeh, 2020. "Trademark filings and patent application count time series are structurally near-identical and cointegrated: Implications for studies in innovation," Papers 2012.10400, arXiv.org.
    25. Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2009. "On the evolution of the monetary policy transmission mechanism," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 997-1017, April.
    26. Gary M. Koop & Simon M. Potter, 2004. "Forecasting and Estimating Multiple Change-point Models with an Unknown Number of Change-points," Discussion Papers in Economics 04/31, Division of Economics, School of Business, University of Leicester.
    27. Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2008. "On the Evolution of Monetary Policy," Working Paper series 24_08, Rimini Centre for Economic Analysis.
    28. John M Maheu & Thomas H McCurdy, 2007. "How useful are historical data for forecasting the long-run equity return distribution?," Working Papers tecipa-293, University of Toronto, Department of Economics.
    29. Mwasi Paza Mboya & Philipp Sibbertsen, 2023. "Optimal forecasts in the presence of discrete structural breaks under long memory," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1889-1908, November.
    30. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Macroeconomic factors strike back: A Bayesian change-point model of time-varying risk exposures and premia in the U.S. cross-section," Working Paper 2013/19, Norges Bank.
    31. Dufays, Arnaud & Rombouts, Jeroen V.K., 2020. "Relevant parameter changes in structural break models," Journal of Econometrics, Elsevier, vol. 217(1), pages 46-78.
    32. Davide De Gaetano, 2016. "Forecast Combinations For Realized Volatility In Presence Of Structural Breaks," Departmental Working Papers of Economics - University 'Roma Tre' 0208, Department of Economics - University Roma Tre.
    33. Yong Song, 2014. "Modelling Regime Switching And Structural Breaks With An Infinite Hidden Markov Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 825-842, August.
    34. Markus Jochmann & Gary Koop & Rodney W. Strachan, 2008. "Bayesian Forecasting using Stochastic Search Variable Selection in a VAR Subject to Breaks," Working Paper series 19_08, Rimini Centre for Economic Analysis.
    35. Chen, Pei-Fen & Lee, Chien-Chiang & Zeng, Jhih-Hong, 2014. "The relationship between spot and futures oil prices: Do structural breaks matter?," Energy Economics, Elsevier, vol. 43(C), pages 206-217.
    36. Alessandra Canepa, & Karanasos, Menelaos & Paraskevopoulos, Athanasios & Chini, Emilio Zanetti, 2022. "Forecasting Ination: A GARCH-in-Mean-Level Model with Time Varying Predictability," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202212, University of Turin.
    37. 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.
    38. Giuseppe Pagano Giorgianni & Valeria Patella, 2024. "Belief distortions and Disagreement about Inflation," Working Paper series 24-08, Rimini Centre for Economic Analysis.
    39. Ko, Stanley I. M. & Chong, Terence T. L. & Ghosh, Pulak, 2014. "Dirichlet Process Hidden Markov Multiple Change-point Model," MPRA Paper 57871, University Library of Munich, Germany.
    40. Dufays, A. & Rombouts, V., 2015. "Sparse Change-Point Time Series Models," LIDAM Discussion Papers CORE 2015032, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    41. He, Zhongfang, 2009. "Forecasting output growth by the yield curve: the role of structural breaks," MPRA Paper 28208, University Library of Munich, Germany.
    42. 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.
    43. Francesco Ravazzolo & Shaun P Vahey, 2010. "Measuring Core Inflation in Australia with Disaggregate Ensembles," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    44. Jiawen Xu & Pierre Perron, 2023. "Forecasting in the presence of in-sample and out-of-sample breaks," Empirical Economics, Springer, vol. 64(6), pages 3001-3035, June.
    45. Todd E. Clark & Michael W. McCracken, 2006. "Forecasting of small macroeconomic VARs in the presence of instabilities," Research Working Paper RWP 06-09, Federal Reserve Bank of Kansas City.
    46. Arnaud Dufays & Zhuo Li & Jeroen V.K. Rombouts & Yong Song, 2021. "Sparse change‐point VAR models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 703-727, September.
    47. Meligkotsidou, Loukia & Tzavalis, Elias & Vrontos, Ioannis, 2017. "On Bayesian analysis and unit root testing for autoregressive models in the presence of multiple structural breaks," Econometrics and Statistics, Elsevier, vol. 4(C), pages 70-90.

  4. Stephen Gordon & Pascal St-Amour, 2003. "Asset Returns and State-Dependent Risk Preferences," CIRANO Working Papers 2003s-09, CIRANO.

    Cited by:

    1. Tim Bollerslev & Michael Gibson & Hao Zhou, 2007. "Dynamic Estimation of Volatility Risk Premia and Investor Risk Aversion from Option-Implied and Realized Volatilities," CREATES Research Papers 2007-16, Department of Economics and Business Economics, Aarhus University.
    2. Bekaert, Geert & Hoerova, Marie, 2016. "What do asset prices have to say about risk appetite and uncertainty?," Journal of Banking & Finance, Elsevier, vol. 67(C), pages 103-118.
    3. Jean-Pierre Danthine & John B. Donaldson & Christos Giannikos & Hany Guirguis, 2002. "On the Consequences of State Dependent Preferences for the Pricing of Financial Assets," Cahiers de Recherches Economiques du Département d'économie 02.17, Université de Lausanne, Faculté des HEC, Département d’économie.
    4. Luz Rocío Sotomayor & Abel Cadenillas, 2009. "Explicit Solutions Of Consumption‐Investment Problems In Financial Markets With Regime Switching," Mathematical Finance, Wiley Blackwell, vol. 19(2), pages 251-279, April.
    5. Dominique Pépin & Stephen Miller, 2020. "The Time-Varying Nature of Risk Aversion: Evidence from 60 Years of U.S. Stock Market Data," Post-Print hal-04648224, HAL.
    6. Nestor Gandelman & Rubén Hernández-Murillo, 2014. "Risk aversion at the country level," Documentos de Investigación 98, Universidad ORT Uruguay. Facultad de Administración y Ciencias Sociales.
    7. Sei‐Wan Kim & Bong‐Soo Lee, 2008. "Stock Returns, Asymmetric Volatility, Risk Aversion, And Business Cycle: Some New Evidence," Economic Inquiry, Western Economic Association International, vol. 46(2), pages 131-148, April.
    8. George Halkos & Argyro Zisiadou, 2021. "Can We Hedge an Investment Against A Potential Unexpected Environmental Disaster?," Economics of Disasters and Climate Change, Springer, vol. 5(3), pages 355-365, October.
    9. Gandelman, Néstor & Hernández-Murillo, Rubén, 2013. "What do happiness and health satisfaction data tell us about relative risk aversion?," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 301-312.
    10. Ricardo M. Sousa, 2007. "Wealth Shocks and Risk Aversion," NIPE Working Papers 28/2007, NIPE - Universidade do Minho.
    11. Tim Bollerslev & Hao Zhou, 2006. "Expected stock returns and variance risk premia," Finance and Economics Discussion Series 2007-11, Board of Governors of the Federal Reserve System (U.S.).
    12. Bekaert, Geert & Engstrom, Eric & Grenadier, Steve, 2006. "Stock and Bond Returns with Moody Investors," CEPR Discussion Papers 5951, C.E.P.R. Discussion Papers.
    13. Luiz Vitiello & Ser-Huang Poon, 2022. "Option pricing with random risk aversion," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1665-1684, May.
    14. Jaccard, Ivan, 2018. "Stochastic discounting and the transmission of money supply shocks," Working Paper Series 2174, European Central Bank.
    15. Alan Guoming Huang & Eric Hughson & J. Chris Leach, 2016. "Generational Asset Pricing, Equity Puzzles, and Cyclicality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 52-71, October.
    16. Andrei Semenov, 2017. "Background risk in consumption and the equity risk premium," Review of Quantitative Finance and Accounting, Springer, vol. 48(2), pages 407-439, February.
    17. Jung Benjamin & Walter Timo, 2024. "Progressive Taxation and Social Welfare: Quantifying the Effects of the “German Tax-Reform 2000”," German Economic Review, De Gruyter, vol. 25(3), pages 209-239.
    18. John Nkwoma Inekwe, 2020. "Market uncertainty, risk aversion, and macroeconomic expectations," Empirical Economics, Springer, vol. 59(4), pages 1977-1995, October.
    19. Parro, Francisco, 2024. "Unveiling the impact of income taxes on inequality in a HACT model," Journal of Macroeconomics, Elsevier, vol. 79(C).
    20. Maneesoonthorn, Worapree & Martin, Gael M. & Forbes, Catherine S. & Grose, Simone D., 2012. "Probabilistic forecasts of volatility and its risk premia," Journal of Econometrics, Elsevier, vol. 171(2), pages 217-236.
    21. Amadeu DaSilva & Mira Farka & Christos Giannikos, 2011. "Habit Formation in an Overlapping Generations Model with Borrowing Constraints," European Financial Management, European Financial Management Association, vol. 17(4), pages 705-725, September.
    22. Reyno SEYMORE & Margaret MABUGU & Jan VAN HEERDEN, 2010. "Border Tax Adjustments to Negate the Economic Impact of an Electricity Generation Tax," EcoMod2010 259600155, EcoMod.
    23. Dominique Pepin, 2011. "Instabilité des comportements et cycles financiers : une relecture dans un cadre rationnel avec préférences endogènes," Working Papers hal-00960012, HAL.
    24. Andrei SEMENOV, 2010. "High-Order Consumption Moments and Asset Pricing," EcoMod2004 330600127, EcoMod.
    25. TAKAMIZAWA, Hideyuki & 高見澤, 秀幸, 2018. "An Equilibrium Model of Term Structures of Bonds and Equities," Working Paper Series G-1-19, Hitotsubashi University Center for Financial Research.
    26. Michael Dempsey, 2015. "Stock Markets, Investments and Corporate Behavior:A Conceptual Framework of Understanding," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number p1007, September.
    27. Angelo Melino & Alan X. Yang, 2003. "State Dependent Preferences Can Explain the Equity Premium Puzzle," Working Papers melino-03-01, University of Toronto, Department of Economics.
    28. Traian A. Pirvu & Huayue Zhang, 2012. "A Multi Period Equilibrium Pricing Model," Papers 1205.6193, arXiv.org.
    29. Lettau, Martin & Ludvigson, Sydney, 2005. "Euler Equation Errors," CEPR Discussion Papers 5245, C.E.P.R. Discussion Papers.
    30. Berrada, Tony & Detemple, Jérôme & Rindisbacher, Marcel, 2018. "Asset pricing with beliefs-dependent risk aversion and learning," Journal of Financial Economics, Elsevier, vol. 128(3), pages 504-534.
    31. Mariana Khapko, 2023. "Asset pricing with dynamically inconsistent agents," Finance and Stochastics, Springer, vol. 27(4), pages 1017-1046, October.
    32. John Donaldson & Rajnish Mehra, 2007. "Risk Based Explanations of the Equity Premium," NBER Working Papers 13220, National Bureau of Economic Research, Inc.
    33. Paulo Maio, 2013. "Intertemporal CAPM with Conditioning Variables," Management Science, INFORMS, vol. 59(1), pages 122-141, April.
    34. Strohsal, Till, 2013. "Testing the preferred-habitat theory: The role of time-varying risk aversion," SFB 649 Discussion Papers 2013-043, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    35. Caravello, Tomás E. & Driffill, John & Kenc, Turalay & Sola, Martin, 2024. "On the sources of the aggregate risk premium: Risk aversion, bubbles or regime-switching?," Journal of Economic Dynamics and Control, Elsevier, vol. 166(C).
    36. Cesteros, Santiago Rodrigo, 2018. "Sobre volatilidad macroeconómica y dolarización de la riqueza: el caso argentino [On macroeconomic volatility and wealth dollarization: the Argentine case]," MPRA Paper 88968, University Library of Munich, Germany.
    37. Wu, Feng & Myers, Robert J. & Guan, Zhengfei & Wang, Zhiguang, 2015. "Risk-adjusted implied volatility and its performance in forecasting realized volatility in corn futures prices," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 260-274.
    38. George Halkos & Argyro Zisiadou, 2020. "Is Investors’ Psychology Affected Due to a Potential Unexpected Environmental Disaster?," JRFM, MDPI, vol. 13(7), pages 1-24, July.

  5. Gordon, Stephen & St-Amour, Pascal, 1999. "A Preference Regime Model of Bull and Bear Markets," Cahiers de recherche 9906, Université Laval - Département d'économique.

    Cited by:

    1. Zeng, Songlin & Bec, Frédérique, 2015. "Do stock returns rebound after bear markets? An empirical analysis from five OECD countries," Journal of Empirical Finance, Elsevier, vol. 30(C), pages 50-61.
    2. Carlos Capistr¡N & Allan Timmermann, 2009. "Disagreement and Biases in Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 365-396, March.
    3. John M. Maheu & Thomas H. McCurdy & Yong Song, 2012. "Components of Bull and Bear Markets: Bull Corrections and Bear Rallies," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 391-403, February.
    4. Heidari , Hassan & Refah-Kahriz, Arash & Hashemi Berenjabadi, Nayyer, 2018. "Dynamic Relationship between Macroeconomic Variables and Stock Return Volatility in Tehran Stock Exchange: Multivariate MS ARMA GARCH Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, vol. 5(2), pages 223-250, August.
    5. Geert Bekaert & Eric Engstrom & Yuhang Xing, 2006. "Risk, Uncertainty and Asset Prices," NBER Working Papers 12248, National Bureau of Economic Research, Inc.
    6. Bertholon, H. & Monfort, A. & Pegoraro, F., 2007. "Pricing and Inference with Mixtures of Conditionally Normal Processes," Working papers 188, Banque de France.
    7. Dominique Pépin & Stephen Miller, 2020. "The Time-Varying Nature of Risk Aversion: Evidence from 60 Years of U.S. Stock Market Data," Post-Print hal-04648224, HAL.
    8. Falato, Antonio, 2009. "Happiness maintenance and asset prices," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1247-1262, June.
    9. Philippe Andrade & Catherine Bruneau, 2002. "Excess returns, portfolio choices and exchange rate dynamics. The yen/dollar case, 1980–1998," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 64(3), pages 233-256, July.
    10. Łukasz Delong, 2019. "Optimal investment for insurance company with exponential utility and wealth-dependent risk aversion coefficient," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 89(1), pages 73-113, February.
    11. John M Maheu & Thomas H McCurdy & Yong Song, 2009. "Extracting bull and bear markets from stock returns," Working Papers tecipa-369, University of Toronto, Department of Economics.
    12. Troy Davig & Eric M. Leeper, 2009. "Reply to "Generalizing the Taylor Principle: A Comment"," NBER Working Papers 14919, National Bureau of Economic Research, Inc.
    13. Erik Kole & Dick Dijk, 2017. "How to Identify and Forecast Bull and Bear Markets?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 120-139, January.
    14. Liliana Gonzalez & Philip Hoang & John G. Powell Massey & Jing Shi, 2006. "Defining and Dating Bull and Bear Markets: Two Centuries of Evidence," Multinational Finance Journal, Multinational Finance Journal, vol. 10(1-2), pages 81-116, March-Jun.
    15. Wu, Shue-Jen & Lee, Wei-Ming, 2015. "Intertemporal risk–return relationships in bull and bear markets," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 308-325.
    16. Ricardo M. Sousa, 2007. "Wealth Shocks and Risk Aversion," NIPE Working Papers 28/2007, NIPE - Universidade do Minho.
    17. Dillenberger, David & Rozen, Kareen, 2015. "History-dependent risk attitude," Journal of Economic Theory, Elsevier, vol. 157(C), pages 445-477.
    18. Benjamin Keefer, 2016. "Sensitization and Extraordinary Persistence," Working Papers 2016-01, Carleton College, Department of Economics.
    19. Fousseni Chabi-Yo & René Garcia & Eric Renault, 2005. "State Dependence in Fundamentals and Preferences Explains Risk-Aversion Puzzle," Staff Working Papers 05-9, Bank of Canada.
    20. Apostolos Serletis & Libo Xu, "undated". "Consumption, Leisure, and Money," Working Papers 2019-08, Department of Economics, University of Calgary, revised 06 Jul 2019.
    21. Jingjing Chai & Raimond Maurer & Olivia S. Mitchell & Ralph Rogalla, 2011. "Lifecycle Impacts of the Financial and Economic Crisis on Household Optimal Consumption, Portfolio Choice, and Labor Supply," NBER Working Papers 17134, National Bureau of Economic Research, Inc.
    22. Bekaert, Geert & Engstrom, Eric & Grenadier, Steve, 2006. "Stock and Bond Returns with Moody Investors," CEPR Discussion Papers 5951, C.E.P.R. Discussion Papers.
    23. Mendes, Fernando Henrique de Paula e Silva & Caldeira, João Frois & Moura, Guilherme Valle, 2018. "Evidence of Bull and Bear Markets in the Bovespa index: An application of Markovian regime-switching Models with Duration Dependence," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 38(1), May.
    24. Luiz Vitiello & Ser-Huang Poon, 2022. "Option pricing with random risk aversion," Review of Quantitative Finance and Accounting, Springer, vol. 58(4), pages 1665-1684, May.
    25. Kaschützke, B. & Maurer, R., 2016. "Investing and Portfolio Allocation for Retirement," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 567-608, Elsevier.
    26. Jaccard, Ivan, 2018. "Stochastic discounting and the transmission of money supply shocks," Working Paper Series 2174, European Central Bank.
    27. Paulo M.M. Rodrigues & João Cruz, 2018. "Structural Changes in the Duration of Bull Markets and Business Cycle Dynamics," Working Papers w201814, Banco de Portugal, Economics and Research Department.
    28. Bouaddi, Mohammed & Larocque, Denis & Normandin, Michel, 2015. "Equity premia and state-dependent risks," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 393-409.
    29. Caroli, Eve & Garcia-Penalosa, Cecilia, 2002. "Risk aversion and rising wage inequality," Economics Letters, Elsevier, vol. 77(1), pages 21-26, September.
    30. Wasim Ahmad & N. Bhanumurthy & Sanjay Sehgal, 2015. "Regime dependent dynamics and European stock markets: Is asset allocation really possible?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(1), pages 77-107, February.
    31. Adrian R. Pagan & Kirill A. Sossounov, 2003. "A simple framework for analysing bull and bear markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 23-46.
    32. Bletzinger, Tilman & Lemke, Wolfgang & Renne, Jean-Paul, 2025. "Time-varying risk aversion and inflation-consumption correlation in an equilibrium term structure model," Working Paper Series 3012, European Central Bank.
    33. Massimo Guidolin & Erwin Hansen & Gabriel Cabrera, 2023. "Time-Varying Risk Aversion and International Stock Returns," BAFFI CAREFIN Working Papers 23203, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    34. Zolotoy, L., 2008. "Empirical essays on the information transfer between and the informational efficiency of stock markets," Other publications TiSEM 2a2652c6-1060-4622-8721-8, Tilburg University, School of Economics and Management.
    35. Kraus, Alan & Sagi, Jacob S., 2006. "Asset pricing with unforeseen contingencies," Journal of Financial Economics, Elsevier, vol. 82(2), pages 417-453, November.
    36. Pruijssers, Jorien Louise & Singer, Gallia & Singer, Zvi & Tsang, Desmond, 2023. "Social influence pressures and the risk preferences of aspiring financial market professionals," Journal of Accounting Education, Elsevier, vol. 62(C).
    37. TAKAMIZAWA, Hideyuki & 高見澤, 秀幸, 2018. "An Equilibrium Model of Term Structures of Bonds and Equities," Working Paper Series G-1-19, Hitotsubashi University Center for Financial Research.
    38. Łukasz Delong, 2018. "Time-inconsistent stochastic optimal control problems in insurance and finance," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 51, pages 229-254.
    39. Angelo Melino & Alan X. Yang, 2003. "State Dependent Preferences Can Explain the Equity Premium Puzzle," Working Papers melino-03-01, University of Toronto, Department of Economics.
    40. Ntantamis, Christos & Zhou, Jun, 2015. "Bull and bear markets in commodity prices and commodity stocks: Is there a relation?," Resources Policy, Elsevier, vol. 43(C), pages 61-81.
    41. Tillmann, Peter, 2005. "Private sector involvement in the resolution of financial crises: How do markets react?," Journal of Development Economics, Elsevier, vol. 78(1), pages 114-132, October.
    42. Raghu Suryanarayanan, 2006. "Implications of Anticipated Regret and Endogenous Beliefs for Equilibrium Asset Prices: A Theoretical Framework," CSEF Working Papers 162, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    43. Traian A. Pirvu & Huayue Zhang, 2012. "A Multi Period Equilibrium Pricing Model," Papers 1205.6193, arXiv.org.
    44. David Dillenberger & Kareen Rozen, 2011. "History-Dependent Risk Attitude, Second Version," PIER Working Paper Archive 12-029, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 14 Jul 2012.
    45. Carlos Capistrán & Allan Timmermann, 2009. "Disagreement and Biases in Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2‐3), pages 365-396, March.
    46. Berrada, Tony & Detemple, Jérôme & Rindisbacher, Marcel, 2018. "Asset pricing with beliefs-dependent risk aversion and learning," Journal of Financial Economics, Elsevier, vol. 128(3), pages 504-534.
    47. Fousseni Chabi-Yo & René Garcia & Eric Renault, 2005. "The Stochastic Discount Factor: Extending the Volatility Bound and a New Approach to Portfolio Selection with Higher-Order Moments," Staff Working Papers 05-2, Bank of Canada.
    48. John Donaldson & Rajnish Mehra, 2007. "Risk Based Explanations of the Equity Premium," NBER Working Papers 13220, National Bureau of Economic Research, Inc.
    49. Paulo Maio, 2013. "Intertemporal CAPM with Conditioning Variables," Management Science, INFORMS, vol. 59(1), pages 122-141, April.
    50. Julian, Inchauspe & Helen, Cabalu, 2013. "What Drives the Shanghai Stock Market? An Examination of its Linkage to Macroeconomic Fundamentals," MPRA Paper 93049, University Library of Munich, Germany.
    51. Casey B. Mulligan, 2004. "Robust Aggregate Implications of Stochastic Discount Factor Volatility," NBER Working Papers 10210, National Bureau of Economic Research, Inc.
    52. Caravello, Tomás E. & Driffill, John & Kenc, Turalay & Sola, Martin, 2024. "On the sources of the aggregate risk premium: Risk aversion, bubbles or regime-switching?," Journal of Economic Dynamics and Control, Elsevier, vol. 166(C).
    53. Taamouti, Abderrahim, 2012. "Moments of multivariate regime switching with application to risk-return trade-off," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 292-308.
    54. Seonghoon Cho, 2016. "Sufficient Conditions for Determinacy in a Class of Markov-Switching Rational Expectations Models," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 21, pages 182-200, July.
    55. Berthold, Brendan, 2023. "The macroeconomic effects of uncertainty and risk aversion shocks," European Economic Review, Elsevier, vol. 154(C).
    56. Shue-Jen Wu & Wei-Ming Lee, 2012. "Predicting the U.S. bear stock market using the consumption-wealth ratio," Economics Bulletin, AccessEcon, vol. 32(4), pages 3174-3181.
    57. Wang, Zijun & Khan, M. Moosa, 2017. "Market states and the risk-return tradeoff," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 314-327.
    58. Serletis, Apostolos & Xu, Libo, 2019. "The demand for banking and shadow banking services," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 132-146.
    59. Gang Chu & Xiao Li & Dehua Shen & Yongjie Zhang, 2021. "Stock Crashes and Jumps Reactions to Information Demand and Supply: An Intraday Analysis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 397-427, September.
    60. Zegadło, Piotr, 2022. "Identifying bull and bear market regimes with a robust rule-based method," Research in International Business and Finance, Elsevier, vol. 60(C).

  6. Gordon, Stephen & St-Amour, Pascal, 1997. "Estimating a Continuous-Time Asset Pricing Model with State-Dependent Risk Aversion," Cahiers de recherche 9711, Université Laval - Département d'économique, revised 08 Jun 1998.

    Cited by:

    1. Gordon, Stephen & St-Amour, Pascal, 1999. "A Preference Regime Model of Bull and Bear Markets," Cahiers de recherche 9906, Université Laval - Département d'économique.

  7. Gordon, Stephen & St-Amour, Pascal, 1997. "Asset Prices with Contingent Preferences," Cahiers de recherche 9712, Université Laval - Département d'économique, revised 08 Jun 1998.

    Cited by:

    1. Kirill Sossunov, 2002. "A Real Business Cycle Model with Changing Sentiments," Macroeconomics 0210005, University Library of Munich, Germany.
    2. Don Harding & Adrian Pagan, 1999. "Knowing the Cycle," Melbourne Institute Working Paper Series wp1999n12, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.

  8. Gordon, S. & Belanger, G., 1995. "Echantillonnage de Gibbs et autres application econometriques des chaines merkoviennes," Papers 9509, Laval - Recherche en Politique Economique.

    Cited by:

    1. Paquet, Marie-France & Bolduc, Denis, 2004. "Le problème des données longitudinales incomplètes : une nouvelle approche," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 341-361, Juin-Sept.

  9. BERNARD, Jean-Thomas & GORDON, Stephen & TREMBLAY, Josée, 1995. "Electricity Prices and Elections in Québec," Cahiers de recherche 9501, Université Laval - Département d'économique.

    Cited by:

    1. Min, Brian & Golden, Miriam, 2014. "Electoral cycles in electricity losses in India," Energy Policy, Elsevier, vol. 65(C), pages 619-625.
    2. C. Robert Clark & Andrew Leach, 2007. "The Potential for Electricity Market Restructuring in Quebec," Canadian Public Policy, University of Toronto Press, vol. 33(1), pages 1-20, March.
    3. Goto, Mika & Karolyi, G. Andrew, 2004. "Understanding Electricity Price Volatility within and across Markets," Working Paper Series 2004-12, Ohio State University, Charles A. Dice Center for Research in Financial Economics.
    4. Mirnezami, Seyed Reza, 2014. "Electricity inequality in Canada: Should pricing reforms eliminate subsidies to encourage efficient usage?," Utilities Policy, Elsevier, vol. 31(C), pages 36-43.
    5. Bernard, Jean-Thomas, 1999. "Le marché québécois de l’électricité : rétrospective et voies de l’avenir," L'Actualité Economique, Société Canadienne de Science Economique, vol. 75(4), pages 673-694, décembre.

  10. Bolduc, D. & Fortin, B. & Gordon, S., 1995. "Multinomial Probit Estimation of Spatially Interdependent Choices: An Empirical Comparison of Two New Techniques," Papers 9508, Laval - Recherche en Politique Economique.

    Cited by:

    1. Eric Delattre & Anne-Laure Samson, 2012. "Stratégies de localisation des médecins généralistes français : mécanismes économiques ou hédonistes ?," Économie et Statistique, Programme National Persée, vol. 455(1), pages 115-142.
    2. Wang, Chih-Hao & Chen, Na, 2015. "A GIS-based spatial statistical approach to modeling job accessibility by transportation mode: case study of Columbus, Ohio," Journal of Transport Geography, Elsevier, vol. 45(C), pages 1-11.
    3. Heijnen, P. & Samarina, A.. & Jacobs, J.P.A.M. & Elhorst, J.P., 2013. "State transfers at different moments in time," Research Report 13006-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    4. Lei, J., 2013. "Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models," Discussion Paper 2013-061, Tilburg University, Center for Economic Research.
    5. Ricardo A. Daziano & Martin Achtnicht, 2014. "Forecasting Adoption of Ultra-Low-Emission Vehicles Using Bayes Estimates of a Multinomial Probit Model and the GHK Simulator," Transportation Science, INFORMS, vol. 48(4), pages 671-683, November.
    6. Jean-François Richard, 2015. "Likelihood Evaluation of High-Dimensional Spatial Latent Gaussian Models with Non-Gaussian Response Variables," Working Paper 5778, Department of Economics, University of Pittsburgh.
    7. Ricardo A. Daziano & Luis Miranda-Moreno & Shahram Heydari, 2013. "Computational Bayesian Statistics in Transportation Modeling: From Road Safety Analysis to Discrete Choice," Transport Reviews, Taylor & Francis Journals, vol. 33(5), pages 570-592, September.
    8. Lei, J., 2013. "Smoothed Spatial Maximum Score Estimation of Spatial Autoregressive Binary Choice Panel Models," Other publications TiSEM d63bf400-7ff2-4a1c-8067-1, Tilburg University, School of Economics and Management.
    9. Wall, Melanie M. & Liu, Xuan, 2009. "Spatial latent class analysis model for spatially distributed multivariate binary data," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 3057-3069, June.
    10. Schmidheiny, Kurt, 2003. "Income Segregation and Local Progressive Taxation: Empirical Evidence from Switzerland," Discussion Paper Series 26217, Hamburg Institute of International Economics.
    11. Bala, Alain Pholo & Peeters, Dominique & Thomas, Isabelle, 2014. "Spatial issues on a hedonic estimation of rents in Brussels," Journal of Housing Economics, Elsevier, vol. 25(C), pages 104-123.
    12. Raffaella Calabrese & Johan A. Elkink, 2012. "Estimators of Binary Spatial Autoregressive Models: A Monte Carlo Study," Working Papers 201215, Geary Institute, University College Dublin.
    13. David Revelt & Kenneth Train, 2001. "Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier," Econometrics 0012001, University Library of Munich, Germany.
    14. Dannewald, Till & Kreis, Henning & Silberhorn, Nadja, 2007. "Das hybride Wahlmodell und seine Anwendung im Marketing," SFB 649 Discussion Papers 2007-062, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    15. J. Paul Elhorst & Pim Heijnen & Anna Samarina & Jan P. A. M. Jacobs, 2017. "Transitions at Different Moments in Time: A Spatial Probit Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 422-439, March.
    16. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    17. Daziano, Ricardo A. & Achtnicht, Martin, 2012. "Forecasting adoption of ultra-low-emission vehicles using the GHK simulator and Bayes estimates of a multinomial probit model," ZEW Discussion Papers 12-017, ZEW - Leibniz Centre for European Economic Research.
    18. Ozturk, Erdogan & Irwin, Elena G., 2001. "Explaining Household Location Choices Using A Spatial Probit Model," 2001 Annual meeting, August 5-8, Chicago, IL 20626, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    19. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    20. Holmes, George M., 2005. "Increasing physician supply in medically underserved areas," Labour Economics, Elsevier, vol. 12(5), pages 697-725, October.
    21. De Pinto, Alessandro & Nelson, Gerald C., 2002. "Correcting For Spatial Effects In Limited Dependent Variable Regression: Assessing The Value Of "Ad-Hoc" Techniques," 2002 Annual meeting, July 28-31, Long Beach, CA 19782, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    22. Liesenfeld, Roman & Richard, Jean-François & Vogler, Jan, 2013. "Analysis of discrete dependent variable models with spatial correlation," Economics Working Papers 2013-01, Christian-Albrechts-University of Kiel, Department of Economics.
    23. Weiss, Adam & Habib, Khandker Nurul, 2017. "Examining the difference between park and ride and kiss and ride station choices using a spatially weighted error correlation (SWEC) discrete choice model," Journal of Transport Geography, Elsevier, vol. 59(C), pages 111-119.
    24. Fanny Alivon & Rachel Guillain, 2018. "Urban segregation and unemployment: A case study of the urban area of Marseille – Aix-en-Provence (France)," Post-Print hal-02114051, HAL.
    25. George M. Holmes, 2004. "Does the National Health Service Corps Improve Physician Supply in Underserved Locations?," Eastern Economic Journal, Eastern Economic Association, vol. 30(4), pages 563-581, Fall.
    26. De Pinto, Alessandro & Nelson, Gerald C., 2004. "A Dynamic Model Of Land Use Change With Spatially Explicit Data," 2004 Annual meeting, August 1-4, Denver, CO 20314, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    27. Börsch-Supan, Axel & Moshe Ben-Akiva & Kenneth Train & Daniel McFadden, 2002. "Hybrid Choice Models: Progress and Challenges," MEA discussion paper series 02009, Munich Center for the Economics of Aging (MEA) at the Max Planck Institute for Social Law and Social Policy.
    28. Aßmann, Christian, 2007. "Determinants and Costs of Current Account Reversals under Heterogeneity and Serial Correlation," Economics Working Papers 2007-17, Christian-Albrechts-University of Kiel, Department of Economics.

  11. GORDON, Stephen, 1995. "Using Mixtures of Flexible Functional Forms to Estimate Factor Demand Elasticities," Cahiers de recherche 9502, Université Laval - Département d'économique.

    Cited by:

    1. McCausland, William J., 2008. "On Bayesian analysis and computation for functions with monotonicity and curvature restrictions," Journal of Econometrics, Elsevier, vol. 142(1), pages 484-507, January.
    2. Keane, Michael, 2003. "Comment on “Simulation and Estimation of Hedonic Models” by Heckman, Matzkin and Nesheim," MPRA Paper 55141, University Library of Munich, Germany.
    3. Chua, C.L. & Griffiths, W.E. & O'Donnell, C.J., 2001. "Bayesian Model Averaging in Consumer Demand Systems with Inequality Constraints," Department of Economics - Working Papers Series 806, The University of Melbourne.
    4. Hanrahan, Kevin F. & Westhoff, Patrick C. & Young, Robert E., II, 2001. "Trade Allocation Modeling: Comparing The Results From Armington And Locally Regular Ai Demand System Specifications Of A Uk Beef Import Demand Allocation Model," 2001 Annual meeting, August 5-8, Chicago, IL 20510, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  12. Andrew J. Filardo & Stephen F. Gordon, 1995. "Business cycle turning points: two empirical business cycle model approaches," Research Working Paper 95-15, Federal Reserve Bank of Kansas City.

    Cited by:

    1. Kim, Chang-Jin & Nelson, Charles R, 2001. "A Bayesian Approach to Testing for Markov-Switching in Univariate and Dynamic Factor Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 989-1013, November.
    2. Andrea Carriero & Massimiliano Marcellino, 2007. "A Comparison of Methods for the Construction of Composite Coincident and Leading Indexes for the UK," Working Papers 590, Queen Mary University of London, School of Economics and Finance.
    3. Randal J. Verbrugge, 1998. "A cross-country investigation of macroeconomic asymmetries," Macroeconomics 9809017, University Library of Munich, Germany, revised 30 Sep 1998.
    4. Francis X. Diebold & Glenn D. Rudebusch, 2001. "Five questions about business cycles," Economic Review, Federal Reserve Bank of San Francisco, pages 1-15.

  13. GORDON, Stephen, 1995. "Stochastic Trends, Deterministic Trends and Business Cycle Turning Points," Cahiers de recherche 9503, Université Laval - Département d'économique.

    Cited by:

    1. Clements, Michael P & Krolzig, Hans-Martin, 2003. "Business Cycle Asymmetries: Characterization and Testing Based on Markov-Switching Autoregressions," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 196-211, January.
    2. John M Maheu & Thomas H McCurdy, 2007. "Modeling foreign exchange rates with jumps," Working Papers tecipa-279, University of Toronto, Department of Economics.
    3. E. Andersson & D. Bock & M. Frisen, 2006. "Some statistical aspects of methods for detection of turning points in business cycles," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(3), pages 257-278.
    4. Lars-Erik Öller & Lasse Koskinen, 2004. "A classifying procedure for signalling turning points," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(3), pages 197-214.
    5. Chun Liu & John M Maheu, 2008. "Forecasting Realized Volatility: A Bayesian Model Averaging Approach," Working Papers tecipa-313, University of Toronto, Department of Economics.

  14. Stephen GORDON & Lucie SAMSON & Benoît CARMICHAEL, 1994. "Bayesian Evaluation of Preference Specifications," Cahiers de Recherches Economiques du Département d'économie 9406, Université de Lausanne, Faculté des HEC, Département d’économie.

    Cited by:

    1. Petr Zemčík, 2001. "An empirical investigation of the consumption based Capital Asset Pricing Model using a modified variance-ratio test," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 25(1), pages 1-22, March.

  15. Andrew J. Filardo & Stephen F. Gordon, 1993. "Business cycle durations," Research Working Paper 93-11, Federal Reserve Bank of Kansas City.

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    1. Dufrénot, Gilles & Malik, Sheheryar, 2012. "The changing role of house price dynamics over the business cycle," Economic Modelling, Elsevier, vol. 29(5), pages 1960-1967.
    2. Manuela Goretti, 2005. "The Brazilian Currency Turmoil of 2002: A Nonlinear Analysis," International Finance 0506001, University Library of Munich, Germany.
    3. Spezia, Luigi, 2020. "Bayesian variable selection in non-homogeneous hidden Markov models through an evolutionary Monte Carlo method," Computational Statistics & Data Analysis, Elsevier, vol. 143(C).
    4. Mehmet Balcilar & Reneé van Eyden & Josine Uwilingiye & Rangan Gupta, 2014. "The impact of oil price on South African GDP growth: A Bayesian Markov Switching-VAR analysis," Working Papers 201470, University of Pretoria, Department of Economics.
    5. Lu, Yang K. & Perron, Pierre, 2010. "Modeling and forecasting stock return volatility using a random level shift model," Journal of Empirical Finance, Elsevier, vol. 17(1), pages 138-156, January.
    6. Robert Gagné & Simon van Norden & Bruno Versaevel, 2003. "Testing Optimal Punishment Mechanisms Under Price Regulation: the Case of the Retail Market for Gasoline," CIRANO Working Papers 2003s-57, CIRANO.
    7. Daniel Aromi & Marcos Dal Bianco, 2014. "Un analisis de los desequilibrios del tipo de cambio real argentino bajo cambios de regimen," Working Papers 1431, BBVA Bank, Economic Research Department.
    8. Smith, Aaron D., 2004. "Level Shifts and the Illusion of Long Memory in Economic Time Series," Working Papers 11974, University of California, Davis, Department of Agricultural and Resource Economics.
    9. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    10. Kim, Chang-Jin & Nelson, Charles R, 2001. "A Bayesian Approach to Testing for Markov-Switching in Univariate and Dynamic Factor Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 989-1013, November.
    11. Duan, Huayou & Zhao, Chenchen & Wang, Lu & Liu, Guangqiang, 2024. "The relationship between renewable energy attention and volatility: A HAR model with markov time-varying transition probability," Research in International Business and Finance, Elsevier, vol. 71(C).
    12. Alex Mandilaras & Graham Bird, 2007. "Foreign exchange markets in south-east Asia 1990-2004: An empirical analysis of spillovers during crisis and non-crisis periods," Money Macro and Finance (MMF) Research Group Conference 2006 40, Money Macro and Finance Research Group.
    13. Magali Marx & Jean Barthelemy, 2013. "State-Dependent Probability Distributions in Non Linear Rational Expectations Models," 2013 Meeting Papers 576, Society for Economic Dynamics.
    14. Chotipong Charoensom, 2024. "An Estimation of Regime Switching Models with Nonlinear Endogenous Switching," PIER Discussion Papers 217, Puey Ungphakorn Institute for Economic Research.
    15. James D. Hamilton, 2016. "Macroeconomic Regimes and Regime Shifts," NBER Working Papers 21863, National Bureau of Economic Research, Inc.
    16. Moolman, Elna, 2004. "A Markov switching regime model of the South African business cycle," Economic Modelling, Elsevier, vol. 21(4), pages 631-646, July.
    17. Engemann, Kristie M. & Kliesen, Kevin L. & Owyang, Michael T., 2011. "Do Oil Shocks Drive Business Cycles? Some U.S. And International Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 498-517, November.
    18. Alexis Cruz Rodriguez, 2011. "Prediction of Currency Crises Using a Fiscal Sustainability Indicator," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 26(2), pages 39-60, December.
    19. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    20. Cyril May & Greg Farrell & Jannie Rossouw, 2017. "Do monetary policy announcements affect foreign exchange returns and volatility? Some evidence from high-frequency intra-day South African data," Working Papers 128, Economic Research Southern Africa.
    21. Shinn-Juh Lin & Jian Yang, 2003. "Examining intraday returns with buy/sell information," Applied Financial Economics, Taylor & Francis Journals, vol. 13(6), pages 447-461.
    22. Zacharias Psaradakis & Martin Sola, 2017. "Markov-Switching Models with State-Dependent Time-Varying Transition Probabilities," Birkbeck Working Papers in Economics and Finance 1702, Birkbeck, Department of Economics, Mathematics & Statistics.
    23. Uctum, Remzi, 2007. "Économétrie des modèles à changement de régimes : un essai de synthèse," L'Actualité Economique, Société Canadienne de Science Economique, vol. 83(4), pages 447-482, décembre.
    24. Jean Barthélemy & Magali Marx, 2016. "Solving Endogenous Regime Switching Models," Working Papers hal-03393181, HAL.
    25. Peter M. Summers & Penelope A. Smith, 2005. "How well do Markov switching models describe actual business cycles? The case of synchronization," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 253-274.
    26. Gilles Dufrénot & Valérie Mignon & Anne Péguin-Feissolle, 2012. "The effects of the subprime crisis on the Latin American financial markets: an empirical assessment," Post-Print hal-01411539, HAL.
    27. Sylvia Kaufmann, 2014. "K-state switching models with time-varying transition distributions – Does credit growth signal stronger effects of variables on inflation?," Working Papers 14.04, Swiss National Bank, Study Center Gerzensee.
    28. Akdi, Yilmaz & Varlik, Serdar & Berument, M. Hakan, 2020. "Duration of Global Financial Cycles," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    29. Martha Misas & Maria Teresa Ramirez, 2007. "Depressions in the Colombian economic growth during the twentieth century: a Markov switching regime model," Applied Economics Letters, Taylor & Francis Journals, vol. 14(11), pages 803-808.
    30. Siddhartha Chib & Michael J. Dueker, 2004. "Non-Markovian regime switching with endogenous states and time-varying state strengths," Working Papers 2004-030, Federal Reserve Bank of St. Louis.
    31. Michael P. Clements & Hans-Martin Krolzig, 2004. "Can regime-switching models reproduce the business cycle features of US aggregate consumption, investment and output?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(1), pages 1-14.
    32. W. Hölzl & S. Kaniovski & Y. Kaniovski, 2019. "Exploring the dynamics of business survey data using Markov models," Computational Management Science, Springer, vol. 16(4), pages 621-649, October.
    33. Huseyin Kaya, 2013. "On the Predictive Power of Yield Spread for Future Growth and Recession: The Turkish Case," Working Papers 010, Bahcesehir University, Betam, revised Mar 2013.
    34. Oscar V. De la Torre-Torres & Evaristo Galeana-Figueroa & José Álvarez-García, 2021. "A Markov-Switching VSTOXX Trading Algorithm for Enhancing EUR Stock Portfolio Performance," Mathematics, MDPI, vol. 9(9), pages 1-28, May.
    35. Clements, Michael P & Krolzig, Hans-Martin, 2003. "Business Cycle Asymmetries: Characterization and Testing Based on Markov-Switching Autoregressions," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 196-211, January.
    36. Wai Mun Fong & Kim Hock See, 2003. "Basis variations and regime shifts in the oil futures market," The European Journal of Finance, Taylor & Francis Journals, vol. 9(5), pages 499-513.
    37. Cláudio Tadeu Cristino & Piotr Żebrowski & Matthias Wildemeersch, 2020. "Assessing the time intervals between economic recessions," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-20, May.
    38. Blagov, Boris & Funke, Michael, 2014. "The credibility of Hong Kong's currency board system: Looking through the prism of MS-VAR models with time-varying transition probabilities," BOFIT Discussion Papers 15/2014, Bank of Finland Institute for Emerging Economies (BOFIT).
    39. Fernando Delbianco & Andrés Fioriti & Fernando Tohmé, 2023. "Markov chains, eigenvalues and the stability of economic growth processes," Empirical Economics, Springer, vol. 64(3), pages 1347-1373, March.
    40. Chung-Ming Kuan, 2013. "Markov switching model (in Russian)," Quantile, Quantile, issue 11, pages 13-40, December.
    41. AMMOURI, Bilel & TOUMI, Hassen & Zitouna, Habib, 2015. "Forecasting Inflation in Tunisia Using Dynamic Factors Model," MPRA Paper 65514, University Library of Munich, Germany.
    42. Roland G. Shami & Catherine S. Forbes, 2002. "Non-linear Modelling of the Australian Business Cycle using a Leading Indicator," Monash Econometrics and Business Statistics Working Papers 5/02, Monash University, Department of Econometrics and Business Statistics.
    43. Castro, Vítor, 2010. "The duration of economic expansions and recessions: More than duration dependence," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 347-365, March.
    44. Shyh-Wei Chen & Chung-Hua Shen, 2007. "Evidence of the duration-dependence from the stock markets in the Pacific Rim economies," Applied Economics, Taylor & Francis Journals, vol. 39(11), pages 1461-1474.
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    84. Houda Rharrabti Zaid, 2015. "Transmission du stress financier de la zone euro aux Pays de l’Europe Centrale et Orientale," EconomiX Working Papers 2015-37, University of Paris Nanterre, EconomiX.
    85. Ali, Wajid & Ahmad, Iftikhar & Rafiq, Sara, 2020. "Regime Switches in Pakistan’s Fiscal Policy: Markov-Switching VAR Approach," Asian Journal of Applied Economics/ Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 27(2), pages 45-76, December.
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    90. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2025. "The information matrix test for Markov switching autoregressive models with covariate-dependent transition probabilities," Working Papers wp2025_2502, CEMFI.
    91. Martha Misas & María Teresa Ramírez, 2005. "Depressions in the Colombian Economic Growth Durng the XX Century: A Markov Switching Regime Model," Borradores de Economia 340, Banco de la Republica de Colombia.
    92. Jamel JOUINI, 2018. "Measuring the Macroeconomic Impacts of Fiscal Policy Shocks in the Saudi Economy : A Markov Switching Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 55-70, December.
    93. Brian Hartley, 2022. "Episodic incidence of Harrodian instability and the Kaleckian growth model: A Markov‐switching approach," Metroeconomica, Wiley Blackwell, vol. 73(1), pages 268-290, February.
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    95. Rogelio Mercado Jr., 2016. "Domestic Factors and Episodes of Gross Capital Inflows," Trinity Economics Papers tep1916, Trinity College Dublin, Department of Economics.
    96. Gabriela Mundaca, B., 2000. "The effect of interventions on realignment probabilities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 10(3-4), pages 323-347, December.
    97. Martha Misas & María Teresa Ramírez, 2006. "Colombian economic growth under Markov switching regimes with endogenous transition probabilities," Borradores de Economia 425, Banco de la Republica de Colombia.
    98. Kostas Mouratidis & Dimitris Kenourgios & Aris Samitas, 2010. "Evaluating currency crisis:A multivariate Markov switching approach," Working Papers 2010018, The University of Sheffield, Department of Economics, revised Oct 2010.
    99. Andra C. Ghent & Michael T. Owyang, 2009. "Is housing the business cycle? evidence from U.S. cities," Working Papers 2009-007, Federal Reserve Bank of St. Louis.
    100. Lhuissier, Stéphane, 2022. "Financial conditions and macroeconomic downside risks in the euro area," European Economic Review, Elsevier, vol. 143(C).
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    102. Everts, Martin, 2006. "Duration of Business Cycles," MPRA Paper 1219, University Library of Munich, Germany.
    103. Maria Dolores Gadea Rivas & Gabriel Perez-Quiros, 2012. "The failure to predict the Great Recession. The failure of academic economics? A view focusing on the role of credit," Working Papers 1240, Banco de España.
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    105. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "Bayesian Vector Autoregressions with Non-Gaussian Shocks," CReMFi Discussion Papers 5, CReMFi, School of Economics and Finance, QMUL.
    106. Mr. Abdul d Abiad, 2003. "Early Warning Systems: A Survey and a Regime-Switching Approach," IMF Working Papers 2003/032, International Monetary Fund.
    107. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    108. Dufr not, G. & Triki, K., 2012. "Public debt ratio and its determinants in France since 1890 Does econometrics support the historical evidence?," Working papers 385, Banque de France.
    109. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.
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    111. Constandina Koki & Loukia Meligkotsidou & Ioannis Vrontos, 2020. "Forecasting under model uncertainty: Non‐homogeneous hidden Markov models with Pòlya‐Gamma data augmentation," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(4), pages 580-598, July.
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  16. Gordon, S., 1991. "Dynamic Factor Demand and Value Function Methods," University of Western Ontario, Departmental Research Report Series 9114, University of Western Ontario, Department of Economics.

    Cited by:

    1. Gordon, S.F., 1993. "How Long is the Firm's Forecast Horizon?," Papers 9322, Laval - Recherche en Politique Economique.

Articles

  1. Stephen Gordon, 2020. "The incidence of income taxes on high earners in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(2), pages 437-459, May.

    Cited by:

    1. James (Jim) C. MacGee & Joel Rodrigue, 2024. "The Distributional Origins of the Canada-US GDP and Labour Productivity Gaps," Staff Working Papers 24-49, Bank of Canada.
    2. Markina Oksana, 2022. "Taxation, Inequality, and Poverty: Evidence from Ukraine," Central European Economic Journal, Sciendo, vol. 9(56), pages 1-18, January.

  2. Truchon, Michel & Gordon, Stephen, 2009. "Statistical comparison of aggregation rules for votes," Mathematical Social Sciences, Elsevier, vol. 57(2), pages 199-212, March.
    See citations under working paper version above.
  3. John M. Maheu & Stephen Gordon, 2008. "Learning, forecasting and structural breaks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 553-583.
    See citations under working paper version above.
  4. Stephen Gordon & Michel Truchon, 2008. "Social choice, optimal inference and figure skating," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 30(2), pages 265-284, February.
    See citations under working paper version above.
  5. Gordon S. & St-Amour P., 2004. "Asset Returns and State-Dependent Risk Preferences," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 241-252, July.
    See citations under working paper version above.
  6. Stephen Gordon & Lucie Samson, 2002. "Comparing Consumption-Based Asset-Pricing models," Canadian Journal of Economics, Canadian Economics Association, vol. 35(3), pages 586-610, August.

    Cited by:

    1. Kwan, Yum K. & Leung, Charles Ka Yui & Dong, Jinyue, 2015. "Comparing consumption-based asset pricing models: The case of an Asian city," Journal of Housing Economics, Elsevier, vol. 28(C), pages 18-41.
    2. Smoluk, H. J. & VanderLinden, David, 2004. "Catching up with the Americans," Review of Financial Economics, Elsevier, vol. 13(3), pages 211-229.
    3. Chen, Ming-Hsiang & Bidarkota, Prasad V., 2004. "Consumption equilibrium asset pricing in two Asian emerging markets," Journal of Asian Economics, Elsevier, vol. 15(2), pages 305-319, April.

  7. Pascal St-Amour & Stephen Gordon, 2000. "A Preference Regime Model of Bull and Bear Markets," American Economic Review, American Economic Association, vol. 90(4), pages 1019-1033, September.
    See citations under working paper version above.
  8. Filardo, Andrew J. & Gordon, Stephen F., 1998. "Business cycle durations," Journal of Econometrics, Elsevier, vol. 85(1), pages 99-123, July.
    See citations under working paper version above.
  9. Gordon, Stephen, 1997. "Stochastic Trends, Deterministic Trends, and Business Cycle Turning Points," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(4), pages 411-434, July-Aug..
    See citations under working paper version above.
  10. Denis Bolduc & Bernard Fortin & Stephen Gordon, 1997. "Multinomial Probit Estimation of Spatially Interdependent Choices: An Empirical Comparison of Two New Techniques," International Regional Science Review, , vol. 20(1-2), pages 77-101, April.
    See citations under working paper version above.
  11. Jean-Thomas Bernard & Stephen Gordon & Josee Tremblay, 1997. "Electricity Prices and Elections in Quebec," Canadian Journal of Economics, Canadian Economics Association, vol. 30(3), pages 505-525, August.
    See citations under working paper version above.
  12. Gordon, Stephen & Bélanger, Gilles, 1996. "Échantillonnage de Gibbs et autres applications économétriques des chaînes markoviennes," L'Actualité Economique, Société Canadienne de Science Economique, vol. 72(1), pages 27-49, mars.
    See citations under working paper version above.
  13. Stephen Gordon, 1996. "Using Mixtures of Flexible Functional Forms to Estimate Factor Demand Elasticities," Canadian Journal of Economics, Canadian Economics Association, vol. 29(3), pages 717-736, August.
    See citations under working paper version above.
  14. Gordon, Stephen & Samson, Lucie & Carmichael, Benoit, 1995. "Finite-sample inferences about mean-standard deviation bounds for stochastic discount factors," Economics Letters, Elsevier, vol. 49(3), pages 295-300, September.

    Cited by:

    1. Raymond Kan & Cesare Robotti, 2016. "The Exact Distribution of the Hansen–Jagannathan Bound," Management Science, INFORMS, vol. 62(7), pages 1915-1943, July.

  15. Gordon, Stephen, 1992. "Costs of Adjustment, the Aggregation Problem and Investment," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 422-429, August.

    Cited by:

    1. Gordon, S.F., 1993. "How Long is the Firm's Forecast Horizon?," Papers 9322, Laval - Recherche en Politique Economique.
    2. Charlotta Groth & Hashmat Khan, 2010. "Investment Adjustment Costs: An Empirical Assessment," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(8), pages 1469-1494, December.
    3. Lubomir Lizal, 2001. "Does a Soft Macroeconomic Environment Induce Restructuring on the Microeconomic Level during the Transition Period? Evidence from Investment Behavior of Czech Enterprises," Development and Comp Systems 0012010, University Library of Munich, Germany.
    4. George Bitros, 2008. "Why the structure of capital and the useful lives of its components matter: A test based on a model of Austrian descent," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 21(4), pages 301-328, December.
    5. Kjersti-Gro Lindquist & Terje Skjerpen, 2000. "Explaining the change in skill structure of labour demand in Norwegian manufacturing," Discussion Papers 293, Statistics Norway, Research Department.
    6. Montgomery, Michael R., 1995. "'Time-to-build' completion patterns for nonresidential structures, 1961-1991," Economics Letters, Elsevier, vol. 48(2), pages 155-163, May.
    7. Varshavsky, Leonid, 2010. "Methodological basis of modeling evolution of markets of products with long life cycle: a study of the civil aircrafts’ market," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 20(4), pages 53-74.
    8. Yuriy Gorodnichenko, 2007. "Using Firm Optimization to Evaluate and Estimate Returns to Scale," NBER Working Papers 13666, National Bureau of Economic Research, Inc.
    9. Casalin, Fabrizio & Dia, Enzo, 2014. "Adjustment costs, financial frictions and aggregate investment," Journal of Economics and Business, Elsevier, vol. 75(C), pages 60-79.

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