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David A. Peel

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. Meenagh, David & Minford, Patrick & Peel, David, 2006. "Simulating Stock Returns under switching regimes - a new test of market efficiency," Cardiff Economics Working Papers E2006/13, Cardiff University, Cardiff Business School, Economics Section.

    Mentioned in:

    1. Animal Spirits: A review
      by chris dillow in Stumbling and Mumbling on 2009-02-26 19:27:46
    2. Progress & data in economics
      by chris dillow in Stumbling and Mumbling on 2009-10-19 18:55:25
    3. Stock markets, volatility and predictability
      by chris dillow in Stumbling and Mumbling on 2010-01-03 20:12:44
    4. What is evidence?
      by chris in Stumbling and Mumbling on 2019-01-10 13:39:58
    5. Nothing to fear but...
      by chris in Stumbling and Mumbling on 2015-08-25 17:17:50
  2. Efthymios Pavlidis & Alisa Yusupova & Ivan Paya & David Peel & Enrique Martínez-García & Adrienne Mack & Valerie Grossman, 2016. "Episodes of Exuberance in Housing Markets: In Search of the Smoking Gun," The Journal of Real Estate Finance and Economics, Springer, vol. 53(4), pages 419-449, November.

    Mentioned in:

    1. Assessing Housing Risk
      by Steve Cecchetti and Kim Schoenholtz in Money, Banking and Financial Markets on 2018-10-15 11:28:50
  3. Minford, Patrick & Peel, David & Meenagh, David, 2006. "Simulating Stock Returns Under Switching Regimes - A New Test of Market Efficiency," CEPR Discussion Papers 5614, C.E.P.R. Discussion Papers.

    Mentioned in:

    1. Animal Spirits: A review
      by chris dillow in Stumbling and Mumbling on 2009-02-26 19:27:46
    2. Progress & data in economics
      by chris dillow in Stumbling and Mumbling on 2009-10-19 18:55:25
    3. Stock markets, volatility and predictability
      by chris dillow in Stumbling and Mumbling on 2010-01-03 20:12:44
    4. What is evidence?
      by chris in Stumbling and Mumbling on 2019-01-10 13:39:58
    5. Nothing to fear but...
      by chris in Stumbling and Mumbling on 2015-08-25 17:17:50

Working papers

  1. Angelo Baglioni & Andrea Monticini & David Peel, 2021. "The Impact of the ECB Banking Supervision Announcements on the EU Stock Market," DISCE - Working Papers del Dipartimento di Economia e Finanza def112, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).

    Cited by:

    1. Boitani, Andrea & Dragomirescu-Gaina, Catalin, 2023. "News and narratives: A cointegration analysis of Russian economic policy uncertainty," Economics Letters, Elsevier, vol. 226(C).
    2. Chiara Punzo & Giulia Rivolta, 2022. "Money versus debt financed regime: Evidence from an estimated DSGE model," DISCE - Working Papers del Dipartimento di Economia e Finanza def120, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    3. Valentina Colombo & Alessia Paccagnini, 2024. "Uncertainty and the Federal Reserve’s Balance Sheet Monetary Policy," DISCE - Working Papers del Dipartimento di Economia e Finanza def131, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    4. Russell Davidson & Andrea Monticini, 2023. "Bootstrap Performance with Heteroskedasticity," DISCE - Working Papers del Dipartimento di Economia e Finanza def130, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    5. Irene Torrini & Claudio Lucifora & Antonio Russo, 2022. "The Long-Term Effects of Hospitalization on Health Care Expenditures: An Empirical Analysis for the Young-Old Population," DISCE - Working Papers del Dipartimento di Economia e Finanza def117, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).

  2. Efthymios Pavlidis & Ivan Paya & David Alan Peel & Alisa Yevgenyevna Yusupova, 2017. "Exuberance in the U.K. Regional Housing Markets," Working Papers 168117137, Lancaster University Management School, Economics Department.

    Cited by:

    1. Valerie Grossman & Enrique Martínez García & Efthymios Pavlidis, 2017. "Detecting Periods of Exuberance: A Look at the Role of Aggregation with an Application to House Prices," Globalization Institute Working Papers 325, Federal Reserve Bank of Dallas.
    2. Xie, Zixiong & Chen, Shyh-Wei & Wu, An-Chi, 2019. "Asymmetric adjustment, non-linearity and housing price bubbles: New international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    3. Iancu Laura Andreea & Croicu Andreea Elena & Rogojan Luana Cristina, 2023. "An Investigation on Real Estate Market Dynamics and Bubble Formation Modeling," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 17(1), pages 1603-1616, July.
    4. Valerie Grossman & Enrique Martínez García, 2018. "Explosive Dynamics in House Prices? An Exploration of Financial Market Spillovers in Housing Markets Around the World," Globalization Institute Working Papers 342, Federal Reserve Bank of Dallas.
    5. Taufiq Choudhry, 2020. "Economic Policy Uncertainty and House Prices: Evidence from Geographical Regions of England and Wales," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(2), pages 504-529, June.

  3. Trino-Manuel Ñíguez & Ivan Paya & David Peel & Javier Perote, 2015. "Higher-order risk preferences, constant relative risk aversion and the optimal portfolio allocation," Working Papers 1520, Banco de España.

    Cited by:

    1. Ñíguez, Trino-Manuel & Perote, Javier, 2016. "Multivariate moments expansion density: Application of the dynamic equicorrelation model," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 216-232.
    2. Ñíguez, Trino-Manuel & Paya, Ivan & Peel, David, 2016. "Pure higher-order effects in the portfolio choice model," Finance Research Letters, Elsevier, vol. 19(C), pages 255-260.

  4. Efthymios Pavlidis & Alisa Yusupova & Ivan Paya & David Peel & Enrique Martinez-Garcia & Adrienne Mack & Valerie Crossman, 2014. "Episodes of exuberance in housing markets," Working Papers 64908732, Lancaster University Management School, Economics Department.

    Cited by:

    1. Silvio Contessi & Pierangelo De Pace & Massimo Guidolin, 2020. "Mildly Explosive Dynamics in U.S. Fixed Income Markets," Working Papers 667, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Engsted, Tom & Hviid, Simon J. & Pedersen, Thomas Q., 2016. "Explosive bubbles in house prices? Evidence from the OECD countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 40(C), pages 14-25.
    3. Kennedy, Gerard & O'Brien, Eoin & Woods, Maria, 2016. "Assessing the sustainability of Irish residential property prices: 1980Q1-2016Q2," Economic Letters 11/EL/16, Central Bank of Ireland.
    4. Rafiq Ahmed & Syed Tehseen Jawaid & Samina Khalil, 2021. "Bubble Detection in Housing Market: Evidence From a Developing Country," SAGE Open, , vol. 11(2), pages 21582440211, April.
    5. Philip Inyeob Ji & Glenn Otto, 2015. "Explosive Behaviour in Australian Housing Markets: Rational Bubbles or Not?," Discussion Papers 2015-27, School of Economics, The University of New South Wales.
    6. Robert N. Killins, 2020. "Real estate prices and banking performance: evidence from Canada," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(1), pages 78-98, January.
    7. Jose E. Gomez-Gonzalez & Jair N. Ojeda-Joya & Juan P. Franco & Jhon E. Torres, 2017. "Asset Price Bubbles: Existence, Persistence and Migration," South African Journal of Economics, Economic Society of South Africa, vol. 85(1), pages 52-67, March.
    8. André K. Anundsen & Karsten Gerdrup & Frank Hansen & Kasper Kragh‐Sørensen, 2016. "Bubbles and Crises: The Role of House Prices and Credit," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1291-1311, November.
    9. Jose Eduardo Gomez-Gonzalez & Juliana Gamboa-Arbeláez & Jorge Hirs-Garzón & Andrés Pinchao-Rosero, 2018. "When Bubble Meets Bubble: Contagion in OECD Countries," The Journal of Real Estate Finance and Economics, Springer, vol. 56(4), pages 546-566, May.
    10. Tsangyao Chang & Luis Gil-Alana & Goodness C. Aye & Rangan Gupta & Omid Ranjbar, 2016. "Testing for bubbles in the BRICS stock markets," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(4), pages 646-660, September.
    11. Sara Ferreira Filipe, 2018. "Housing prices and mortgage credit in Luxembourg," BCL working papers 117, Central Bank of Luxembourg.
    12. Efthymios Pavlidis & Ivan Paya & Alex Skouralis, 2019. "House Prices, (Un)Affordability and Systemic Risk," Working Papers 266072868, Lancaster University Management School, Economics Department.
    13. Virtanen, Timo & Tölö, Eero & Virén, Matti & Taipalus, Katja, 2018. "Can bubble theory foresee banking crises?," Journal of Financial Stability, Elsevier, vol. 36(C), pages 66-81.
    14. Martijn (M.I.) Droes & Ryan van Lamoen & Simona Mattheussens, 2017. "Quantitative Easing and Exuberance in Government Bond Markets: Evidence from the ECB's Expanded Assets Purchase Program," Tinbergen Institute Discussion Papers 17-080/IV, Tinbergen Institute.

  5. Valerie Grossman & Adrienne Mack & Enrique Martínez García & Efthymios Pavlidis & Ivan Paya & David Peel & Alisa Yusupova, 2013. "Episodes of Exuberance in Housing Markets: In Search of the Smoking Gun," Globalization Institute Working Papers 165, Federal Reserve Bank of Dallas.

    Cited by:

    1. Silvio Contessi & Pierangelo De Pace & Massimo Guidolin, 2020. "Mildly Explosive Dynamics in U.S. Fixed Income Markets," Working Papers 667, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    2. Yang Hu, 2023. "A review of Phillips‐type right‐tailed unit root bubble detection tests," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 141-158, February.
    3. Hertrich Markus, 2019. "A Novel Housing Price Misalignment Indicator for Germany," German Economic Review, De Gruyter, vol. 20(4), pages 759-794, December.
    4. Jose E. Gomez-Gonzalez & Jorge Hirs-Garzón & Sebastián Sanin-Restrepo & Jorge M. Uribe, 2024. "Financial and Macroeconomic Uncertainties and Real Estate Markets," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 50(1), pages 29-53, January.
    5. Escobari, Diego & Garcia, Sergio & Mellado, Cristhian, 2017. "Identifying bubbles in Latin American equity markets: Phillips-Perron-based tests and linkages," Emerging Markets Review, Elsevier, vol. 33(C), pages 90-101.
    6. Peter C. B. Phillips & Shuping Shi, 2019. "Detecting Financial Collapse and Ballooning Sovereign Risk," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 81(6), pages 1336-1361, December.
    7. Petre Caraiani & Adrian C. Călin & Rangan Gupta, 2021. "Monetary policy and bubbles in US REITs," International Review of Finance, International Review of Finance Ltd., vol. 21(2), pages 675-687, June.
    8. Tsai, I-Chun & Chiang, Shu-Hen, 2019. "Exuberance and spillovers in housing markets: Evidence from first- and second-tier cities in China," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 75-86.
    9. Efthymios Pavlidis & Ivan Paya & David Alan Peel & Alisa Yevgenyevna Yusupova, 2017. "Exuberance in the U.K. Regional Housing Markets," Working Papers 168117137, Lancaster University Management School, Economics Department.
    10. Wei-Fong Pan, 2019. "Detecting bubbles in China’s regional housing markets," Empirical Economics, Springer, vol. 56(4), pages 1413-1432, April.
    11. Andria C. Evripidou & David I. Harvey & Stephen J. Leybourne & Robert Sollis, 2022. "Testing for Co‐explosive Behaviour in Financial Time Series," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 624-650, June.
    12. Pavlidis, Efthymios G. & Vasilopoulos, Kostas, 2020. "Speculative bubbles in segmented markets: Evidence from Chinese cross-listed stocks," Journal of International Money and Finance, Elsevier, vol. 109(C).
    13. Valerie Grossman & Enrique Martínez García & Efthymios Pavlidis, 2017. "Detecting Periods of Exuberance: A Look at the Role of Aggregation with an Application to House Prices," Globalization Institute Working Papers 325, Federal Reserve Bank of Dallas.
    14. Shuping Shi & Peter C.B. Phillips, 2023. "Diagnosing housing fever with an econometric thermometer," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 159-186, February.
    15. Wang, Xichen & Yan, Ji (Karena) & Yan, Cheng & Gozgor, Giray, 2021. "Emerging stock market exuberance and international short-term flows," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    16. Shuping Shi, 2016. "Speculative bubbles or market fundamentals? An investigation of US regional housing markets," CAMA Working Papers 2016-46, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    17. Hudepohl, Tom & van Lamoen, Ryan & de Vette, Nander, 2021. "Quantitative easing and exuberance in stock markets: Evidence from the euro area," Journal of International Money and Finance, Elsevier, vol. 118(C).
    18. Xie, Zixiong & Chen, Shyh-Wei & Wu, An-Chi, 2019. "Asymmetric adjustment, non-linearity and housing price bubbles: New international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    19. Konstantin A. Kholodilin & Claus Michelsen, 2019. "Zehn Jahre nach dem großen Knall: wie ist es um die Stabilität der internationalen Immobilienmärkte bestellt? [Ten years after a Big Bang: How stable are the international housing markets?]," Zeitschrift für Immobilienökonomie (German Journal of Real Estate Research), Springer;Gesellschaft für Immobilienwirtschaftliche Forschung e. V., vol. 5(1), pages 67-87, November.
    20. Konstantin A. Kholodilin & Sebastian Kohl & Florian Müller, 2023. "Government-Made House Price Bubbles? Austerity, Homeownership, Rental, and Credit Liberalization Policies and the “Irrational Exuberance” on Housing Markets," Discussion Papers of DIW Berlin 2061, DIW Berlin, German Institute for Economic Research.
    21. Beckers, Benjamin, 2015. "The real-time predictive content of asset price bubbles for macro forecasts," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112852, Verein für Socialpolitik / German Economic Association.
    22. Emily J. Whitehouse & David I. Harvey & Stephen J. Leybourne, 2023. "Real‐Time Monitoring of Bubbles and Crashes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 482-513, June.
    23. Gu, Yiquan & Lord, Alexander & Eika, Anders & Dethier, Perrine & Samsura, D. Ary A. & Nordahl, Berit Irene & Sommervoll, Dag Einar & van der Krabben, Erwin & Halleux, Jean-Marie, 2021. "Fair shares? Advancing land economics through cooperative game theory," Land Use Policy, Elsevier, vol. 106(C).
    24. Ayesha Liaqat & Mian Sajid Nazir & Iftikhar Ahmad, 2019. "Identification of multiple stock bubbles in an emerging market: application of GSADF approach," Economic Change and Restructuring, Springer, vol. 52(3), pages 301-326, August.
    25. Ghassen El Montasser & Rangan Gupta & Jooste Charl & Stephen M. Miller, 2020. "The Time-series Linkages between US Fiscal Policy and Asset Prices," Public Finance Review, , vol. 48(3), pages 303-339, May.
    26. Panagiotis Petris & George Dotsis & Panayotis Alexakis, 2022. "Bubble tests in the London housing market: A borough level analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1044-1063, January.
    27. Rafiq Ahmed & Syed Tehseen Jawaid & Samina Khalil, 2021. "Bubble Detection in Housing Market: Evidence From a Developing Country," SAGE Open, , vol. 11(2), pages 21582440211, April.
    28. Christophe André & Petre Caraiani & Adrian Cantemir Čalin & Rangan Gupta, 2018. "Can Monetary Policy Lean against Housing Bubbles?," Working Papers 201877, University of Pretoria, Department of Economics.
    29. Tsai, I-Chun, 2019. "Dynamic price–volume causality in the American housing market: A signal of market conditions," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 385-400.
    30. Wang, Xichen & Liu, Qingya, 2023. "Can the global financial cycle explain the episodes of exuberance in international housing markets?," Finance Research Letters, Elsevier, vol. 52(C).
    31. Vinci, Sabato & Bartolacci, Francesca & Salvia, Rosanna & Salvati, Luca, 2022. "Housing markets, the great crisis, and metropolitan gradients: Insights from Greece, 2000–2014," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    32. Contessi, Silvio & De Pace, Pierangelo, 2020. "The International Spread of COVID-19 Stock Market Collapses," Economics Department, Working Paper Series 1013, Economics Department, Pomona College, revised 25 Jun 2020.
    33. Robert N. Killins, 2020. "Real estate prices and banking performance: evidence from Canada," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(1), pages 78-98, January.
    34. André K. Anundsen, 2019. "Detecting Imbalances in House Prices: What Goes Up Must Come Down?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(4), pages 1587-1619, October.
    35. Skrobotov Anton, 2023. "Testing for explosive bubbles: a review," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-26, January.
    36. Daan Steenkamp, 2017. "How bubbly is the New Zealand dollar?," Reserve Bank of New Zealand Discussion Paper Series DP2017/03, Reserve Bank of New Zealand.
    37. André K. Anundsen & Karsten Gerdrup & Frank Hansen & Kasper Kragh‐Sørensen, 2016. "Bubbles and Crises: The Role of House Prices and Credit," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1291-1311, November.
    38. Valerie Grossman & Enrique Martínez García, 2018. "Explosive Dynamics in House Prices? An Exploration of Financial Market Spillovers in Housing Markets Around the World," Globalization Institute Working Papers 342, Federal Reserve Bank of Dallas.
    39. McQuinn, Kieran, 2014. "Bubble, Bubble Toil and Trouble? An Assessment of the Current State of the Irish Housing Market," Quarterly Economic Commentary: Special Articles, Economic and Social Research Institute (ESRI).
    40. ZEREN, Feyyaz & ERGÜZEL, Oylum Şehvez, 2015. "Testing For Bubbles In The Housing Market: Further Evidence From Turkey," Studii Financiare (Financial Studies), Centre of Financial and Monetary Research "Victor Slavescu", vol. 19(1), pages 40-52.
    41. J. Sebastian Amador-Torres & Jose Eduardo Gomez-Gonzalez & Sebastian Sanin-Restrepo, 2017. "I know what you did during the last bubble: Determinants of housing bubbles' duration in OECD countries," Borradores de Economia 1005, Banco de la Republica de Colombia.
    42. Shuping Shi & Peter C. B. Phillips, 2022. "Econometric Analysis of Asset Price Bubbles," Cowles Foundation Discussion Papers 2331, Cowles Foundation for Research in Economics, Yale University.
    43. Martin Sola, 2023. "Rational Bubbles: Too Many to be True?," Working Papers 240, Red Nacional de Investigadores en Economía (RedNIE).
    44. Ozgur, Onder & Yilanci, Veli & Ozbugday, Fatih Cemil, 2021. "Detecting speculative bubbles in metal prices: Evidence from GSADF test and machine learning approaches," Resources Policy, Elsevier, vol. 74(C).
    45. Yuchao Fan, 2022. "Dissecting the dot-com bubble in the 1990s NASDAQ," Papers 2206.14130, arXiv.org, revised Jul 2022.
    46. Wang, Wen-Kai & Lin, Che-Chun & Tsai, I-Chun, 2022. "Long- and short-term price behaviors in presale housing markets in Taiwan," Economic Analysis and Policy, Elsevier, vol. 74(C), pages 350-364.
    47. Floro, Danvee, 2019. "Testing the predictive ability of house price bubbles for macroeconomic performance: A meta-analytic approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 164-181.
    48. Jose Eduardo Gomez-Gonzalez & Juliana Gamboa-Arbeláez & Jorge Hirs-Garzón & Andrés Pinchao-Rosero, 2018. "When Bubble Meets Bubble: Contagion in OECD Countries," The Journal of Real Estate Finance and Economics, Springer, vol. 56(4), pages 546-566, May.
    49. Evren Ceritoglu & Seyit Mumin Cilasun & Ufuk Demiroglu & Aytul Ganioglu, 2019. "An analysis to detect exuberance and implosion in regional house prices in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 19(2), pages 67-82.
    50. Gomis-Porqueras, Pedro & Shi, Shuping & Tan, David, 2022. "Gold as a financial instrument," Journal of Commodity Markets, Elsevier, vol. 27(C).
    51. Steenkamp, Daan, 2018. "Explosiveness in G11 currencies," Economic Modelling, Elsevier, vol. 68(C), pages 388-408.
    52. Kurmaş Akdoğan, 2019. "Size and sign asymmetries in house price adjustments," Applied Economics, Taylor & Francis Journals, vol. 51(48), pages 5268-5281, October.
    53. Itamar Caspi, 2015. "Testing for a housing bubble at the national and regional level: the case of Israel," Globalization Institute Working Papers 246, Federal Reserve Bank of Dallas.
    54. Jean-Louis Bago & Imad Rherrad & Koffi Akakpo & Ernest Ouédraogo, 2022. "An Empirical Investigation on Bubbles Contagion in Scandinavian Real Estate Markets," Businesses, MDPI, vol. 2(1), pages 1-8, March.
    55. Harvey, David I. & Leybourne, Stephen J. & Whitehouse, Emily J., 2020. "Date-stamping multiple bubble regimes," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 226-246.
    56. Mei-Chih Wang & Tsangyao Chang & Jennifer Min, 2022. "Revisit stock price bubbles in the COVID-19 period: Further evidence from Taiwan’s and Mainland China’s tourism industries," Tourism Economics, , vol. 28(4), pages 951-960, June.
    57. Virtanen, Timo & Tölö, Eero & Virén, Matti & Taipalus, Katja, 2018. "Can bubble theory foresee banking crises?," Journal of Financial Stability, Elsevier, vol. 36(C), pages 66-81.
    58. Ayesha Liaqat & Mian Sajid Nazir & Iftikhar Ahmad & Hammad Hassan Mirza & Farooq Anwar, 2020. "Do stock price bubbles correlate between China and Pakistan? An inquiry of pre‐ and post‐Chinese investment in Pakistani capital market under China‐Pakistan Economic Corridor regime," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 323-335, July.
    59. Tsai, I-Chun & Lin, Che-Chun, 2022. "A re-examination of housing bubbles: Evidence from European countries," Economic Systems, Elsevier, vol. 46(2).
    60. Carlos Canizares Martinez, 2023. "Leaning against housing booms fueled by credit," Working and Discussion Papers WP 9/2023, Research Department, National Bank of Slovakia.
    61. Martijn (M.I.) Droes & Ryan van Lamoen & Simona Mattheussens, 2017. "Quantitative Easing and Exuberance in Government Bond Markets: Evidence from the ECB's Expanded Assets Purchase Program," Tinbergen Institute Discussion Papers 17-080/IV, Tinbergen Institute.

  6. Trino-Manuel Niguez & Ivan Paya & David Peel & Javier Perote, 2013. "Higher-order moments in the theory of diversification and portfolio composition," Working Papers 18297128, Lancaster University Management School, Economics Department.

    Cited by:

    1. Lina Cortés & Juan M. Lozada & Javier Perote, 2019. "Firm size and concentration inequality: A flexible extension of Gibrat’s law," Documentos de Trabajo de Valor Público 17205, Universidad EAFIT.
    2. Lina Cortés & Andrés Mora-Valencia & Javier Perote, 2017. "Measuring firm size distribution with semi-nonparametric densities," Documentos de Trabajo de Valor Público 15300, Universidad EAFIT.
    3. Lina M Cortés & Juan M Lozada & Javier Perote, 2021. "Firm size and economic concentration: An analysis from a lognormal expansion," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-21, July.
    4. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.

  7. Efthymios Pavlidis & Ivan Paya & David Peel, 2012. "A New Test for Rational Speculative Bubbles using Forward Exchange Rates: The Case of the Interwar German Hyperinflation," Working Papers 18599597, Lancaster University Management School, Economics Department.

    Cited by:

    1. Su, Chi-Wei & Wang, Kai-Hua & Chang, Hsu-Ling & Dumitrescu–Peculea, Adelina, 2017. "Do iron ore price bubbles occur?," Resources Policy, Elsevier, vol. 53(C), pages 340-346.
    2. Tie-Ying Liu & Hsu-Ling Chang & Chi-Wei Su & Xu-Zhao Jiang, 2016. "China's housing bubble burst?," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 24(2), pages 361-389, April.
    3. Peter C.B. Phillips & Shu-Ping Shi, 2014. "Financial Bubble Implosion," Cowles Foundation Discussion Papers 1967, Cowles Foundation for Research in Economics, Yale University.
    4. Xin Li & Chi-Wei Su & Meng Qin & Fahai Zhao, 2020. "Testing for Bubbles in the Chinese Art Market," SAGE Open, , vol. 10(1), pages 21582440199, January.
    5. Su, Chi-Wei & Li, Zheng-Zheng & Tao, Ran & Si, Deng-Kui, 2018. "Testing for multiple bubbles in bitcoin markets: A generalized sup ADF test," Japan and the World Economy, Elsevier, vol. 46(C), pages 56-63.
    6. Bettendorf, Timo & Chen, Wenjuan, 2013. "Are there bubbles in the Sterling-dollar exchange rate? New evidence from sequential ADF tests," Economics Letters, Elsevier, vol. 120(2), pages 350-353.
    7. Kruse, Yves Robinson & Kaufmann, Hendrik, 2015. "Bias-corrected estimation in mildly explosive autoregressions," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112897, Verein für Socialpolitik / German Economic Association.
    8. Su, Chi-Wei & Li, Zheng-Zheng & Chang, Hsu-Ling & Lobonţ, Oana-Ramona, 2017. "When Will Occur the Crude Oil Bubbles?," Energy Policy, Elsevier, vol. 102(C), pages 1-6.
    9. Zhao, Yanping & Chang, Hsu-Ling & Su, Chi-Wei & Nian, Rui, 2015. "Gold bubbles: When are they most likely to occur?," Japan and the World Economy, Elsevier, vol. 34, pages 17-23.
    10. Yan Li & Zhicheng Wang & Hongchuan Wang & Meiyu Wu & Lingling Xie, 2021. "Identifying price bubble periods in the Bitcoin market-based on GSADF model," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(5), pages 1829-1844, October.
    11. Su, Chi Wei & Qin, Meng & Chang, Hsu-Ling & Țăran, Alexandra-Mădălina, 2023. "Which risks drive European natural gas bubbles? Novel evidence from geopolitics and climate," Resources Policy, Elsevier, vol. 81(C).
    12. Tie Ying Liu & Chi Wei Su & Xu Zhao Jiang & Tsangyao Chang, 2015. "Is There Excess Liquidity in China?," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 23(3), pages 110-126, May.
    13. Moreira, Afonso M. & Martins, Luis F., 2020. "A new mechanism for anticipating price exuberance," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 199-221.
    14. Steenkamp, Daan, 2018. "Explosiveness in G11 currencies," Economic Modelling, Elsevier, vol. 68(C), pages 388-408.
    15. Hendrik Kaufmannz & Robinson Kruse, 2013. "Bias-corrected estimation in potentially mildly explosive autoregressive models," CREATES Research Papers 2013-10, Department of Economics and Business Economics, Aarhus University.
    16. Zheng-Zheng Li & Ran Tao & Chi-Wei Su & Oana-Ramona Lobonţ, 2019. "Does Bitcoin bubble burst?," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 91-105, January.
    17. Li, Zheng-Zheng & Su, Chi-Wei & Chang, Tsangyao & Lobonţ, Oana-Ramona, 2022. "Policy-driven or market-driven? Evidence from steam coal price bubbles in China," Resources Policy, Elsevier, vol. 78(C).

  8. T M Niguez & I Paya & D Peel & J Perote, 2011. "On the stability of the CRRA utility under high degrees of uncertainty," Working Papers 615773, Lancaster University Management School, Economics Department.

    Cited by:

    1. Del Brio, Esther B. & Perote, Javier, 2012. "Gram–Charlier densities: Maximum likelihood versus the method of moments," Insurance: Mathematics and Economics, Elsevier, vol. 51(3), pages 531-537.

  9. Andrea Monticini & David Peel & Giacomo Vaciago, 2010. "The Impact of ECB and FED announcements on the Euro Interest Rates," DEP - series of economic working papers 2/2010, University of Genoa, Research Doctorate in Public Economics.

    Cited by:

    1. Amedeo Fossati, 2012. "The Italian Tradition in Public Finance: an Annotated Bibliography of Mauro Fasiani," DEP - series of economic working papers 1/2012, University of Genoa, Research Doctorate in Public Economics.
    2. Aymen Belgacem & Anna Creti & Khaled Guesmi & Amine Lahiani, 2015. "Volatility spillovers and macroeconomic announcements: evidence from crude oil markets," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2974-2984, June.
    3. Yutaka Kurihara, 2014. "Do European Central Bank Announcements Influence Stock Prices and Exchange Rates?," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 4(4), pages 1-1.
    4. Salvatore Perdichizzi, 2017. "The impact of ECBs conventional and unconventional monetary policies on European banking indexes returns," DISCE - Working Papers del Dipartimento di Economia e Finanza def059, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    5. Colin Gray, 2013. "Responding to a Monetary Superpower: Investigating the Behavioral Spillovers of U.S. Monetary Policy," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 41(2), pages 173-184, June.
    6. Salvatore Perdichizzi & Matteo Cotugno & Giuseppe Torluccio, 2022. "Is the ECB’s conventional monetary policy state‐dependent? An event study approach," Manchester School, University of Manchester, vol. 90(2), pages 213-236, March.
    7. Enrico di Bella & Luca Persico & Matteo Corsi, 2011. "A Multivariate Analysis Of The Space Syntax Output For The Definition Of Strata In Street Security Surveys," DEP - series of economic working papers 5/2011, University of Genoa, Research Doctorate in Public Economics.
    8. Degiannakis, Stavros & Filis, George & Tsemperlidis, Stefanos, 2018. "Economic announcements and the 10-year US Treasury bond: Surprising findings without the surprise component," MPRA Paper 94176, University Library of Munich, Germany.
    9. Aymen Belgacem & Amine Lahiani, 2012. "More on the impact of US macroeconomic announcements: Evidence from French and German stock markets' volatility," Economics Bulletin, AccessEcon, vol. 32(2), pages 1509-1526.

  10. E Pavlidis & I Paya & D Peel, 2009. "Specifying Smooth Transition Regression Models in the Presence of Conditional Heteroskedasticity of Unknown Form," Working Papers 599040, Lancaster University Management School, Economics Department.

    Cited by:

    1. Daiki Maki, 2015. "Wild bootstrap tests for unit root in ESTAR models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 24(3), pages 475-490, September.
    2. Claude Diebolt & Mohamed Chikhi, 2021. "Testing The Weak Form Efficiency Of The French Etf Market With Lstar-Anlstgarch Approach Using A Semiparametric Estimation," Working Papers 09-21, Association Française de Cliométrie (AFC).
    3. Daiki Maki & Yasushi Ota, 2021. "Testing for Time-Varying Properties Under Misspecified Conditional Mean and Variance," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1167-1182, April.
    4. Maki, Daiki, 2015. "Wild bootstrap testing for cointegration in an ESTAR error correction model," Economic Modelling, Elsevier, vol. 47(C), pages 292-298.
    5. Paulo M.M. Rodrigues & Gabriel Zsurkis, 2019. "A reexamination of inflation persistence dynamics in OECD countries: A new approach," Working Papers w201909, Banco de Portugal, Economics and Research Department.
    6. Daiki Maki & Yasushi Ota, 2019. "Testing for time-varying properties under misspecified conditional mean and variance," Papers 1907.12107, arXiv.org, revised Aug 2019.
    7. Mohamed Chikhi & Claude Diebolt, 2019. "Testing Nonlinearity through a Logistic Smooth Transition AR Model with Logistic Smooth Transition GARCH Errors," Working Papers of BETA 2019-06, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    8. Daiki Maki & Yasushi Ota, 2019. "Robust tests for ARCH in the presence of the misspecified conditional mean: A comparison of nonparametric approches," Papers 1907.12752, arXiv.org, revised Sep 2019.
    9. Sahin, Afsin, 2013. "Estimating Money Demand Function by a Smooth Transition Regression Model: An Evidence for Turkey," MPRA Paper 46851, University Library of Munich, Germany.
    10. Pavlidis Efthymios G. & Paya Ivan & Peel David A., 2013. "Nonlinear causality tests and multivariate conditional heteroskedasticity: a simulation study," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 297-312, May.
    11. Efthymios Pavlidis & Ivan Paya & David Peel, 2010. "Further empirical evidence on the consumption-real exchange rate anomaly," Working Papers 447022, Lancaster University Management School, Economics Department.

  11. Efthymios Pavlidis & I Paya & D Peel & A M Spiru, 2009. "Bubbles in House Prices and their Impact on Consumption: Evidence for the US," Working Papers 601552, Lancaster University Management School, Economics Department.

    Cited by:

    1. Vittorio Peretti & Rangan Gupta & Roula Inglesi-Lotz, 2012. "Do House Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-Varying Vector Autoregressive Model," Working Papers 201216, University of Pretoria, Department of Economics.
    2. Tsangyao Chang & Wen-Chi Liu & Goodness C. Aye & Rangan Gupta, 2016. "Are there housing bubbles in South Africa? Evidence from SPSM-based panel KSS test with a Fourier function," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 18(5), pages 517-532.
    3. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2012. "The Out-of-Sample Forecasting Performance of Non-Linear Models of Regional Housing Prices in the US," Working Papers 1209, University of Nevada, Las Vegas , Department of Economics.
    4. Gupta, Rangan & Modise, Mampho P., 2013. "Macroeconomic Variables and South African Stock Return Predictability," Economic Modelling, Elsevier, vol. 30(C), pages 612-622.
    5. Rangan Gupta & Mampho P. Modise, 2010. "South African Stock Return Predictability in the Context of Data Mining: The Role of Financial Variables and International Stock Returns," Working Papers 201027, University of Pretoria, Department of Economics.
    6. Rangan Gupta & Marius Jurgilas & Stephen M. Miller & Dylan van Wyk, 2010. "Financial Market Liberalization, Monetary Policy, and Housing Price Dynamics," Working Papers 201009, University of Pretoria, Department of Economics.
    7. Beatrice D. Simo-Kengne & Rangan Gupta & Manoel Bittencourt, 2013. "The Impact of House Prices on Consumption in South Africa: Evidence from Provincial-Level Panel VARs," Housing Studies, Taylor & Francis Journals, vol. 28(8), pages 1133-1154, November.
    8. Njindan Iyke, Bernard, 2015. "Assessing the Effects of Housing Market Shocks on Output: The Case of South Africa," MPRA Paper 69610, University Library of Munich, Germany, revised 01 Feb 2016.
    9. Christophe André & Rangan Gupta & Patrick T. Kanda, 2012. "Do House Prices Impact Consumption and Interest Rate?: Evidence from OECD Countries Using an Agnostic Identification Procedure," OECD Economics Department Working Papers 947, OECD Publishing.
    10. Maria Christidou & Panagiotis Konstantinou, 2011. "Housing Market and the Transmission of Monetary Policy: Evidence from U.S. States," Discussion Paper Series 2011_14, Department of Economics, University of Macedonia, revised Sep 2011.
    11. Ogonna Nneji & Chris Brooks & Charles Ward, 2011. "Intrinsic and Rational Speculative Bubbles in the U.S. Housing Market 1960-2009," ICMA Centre Discussion Papers in Finance icma-dp2011-01, Henley Business School, University of Reading.
    12. Mehmet Balcilar & Rangan Gupta & Zahra Shah, 2010. "An In-Sample and Out-of-Sample Empirical Investigation of the Nonlinearity in House Prices of South Africa," Working Papers 201008, University of Pretoria, Department of Economics.
    13. Musso, Alberto & Neri, Stefano & Stracca, Livio, 2010. "Housing, consumption and monetary policy: how different are the US and the euro area?," Working Paper Series 1161, European Central Bank.

  12. E Pavlidis & I Paya & D Peel, 2009. "Real Exchange Rates and Time-Varying Trade Costs," Working Papers 600537, Lancaster University Management School, Economics Department.

    Cited by:

    1. Robert Kelm, 2017. "The Purchasing Power Parity Puzzle and Imperfect Knowledge: The Case of the Polish Zloty," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 9(1), pages 1-27, March.
    2. Chaubal Aditi, 2020. "Exchange rates in India: current account monetarism in a nonlinear context," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(5), pages 1-27, December.
    3. Janice Boucher Breuer & Vikram Kumar & Shyam Gouri Suresh, 2014. "Inter-Temporal Purchasing Power Parity," Working Papers 14-10, Davidson College, Department of Economics.
    4. Hwa-Taek Lee & Gawon Yoon, 2013. "Does purchasing power parity hold sometimes? Regime switching in real exchange rates," Applied Economics, Taylor & Francis Journals, vol. 45(16), pages 2279-2294, June.
    5. Buncic, Daniel, 2017. "Identification and Estimation issues in Exponential Smooth Transition Autoregressive Models," Working Paper Series 344, Sveriges Riksbank (Central Bank of Sweden).
    6. Efthymios Pavlidis & Nicos Pavlidis, 2012. "Dynamic Estimation of Trade Costs from Real Exchange Rates," Working Papers 21883757, Lancaster University Management School, Economics Department.
    7. Lim, Eun Son & Breuer, Janice Boucher, 2019. "Free trade agreements and market integration: Evidence from South Korea," Journal of International Money and Finance, Elsevier, vol. 90(C), pages 241-256.
    8. Maria Eleftheriou & Nikolas A. Müller-Plantenberg, 2018. "The Purchasing Power Parity Fallacy: Time to Reconsider the PPP Hypothesis," Open Economies Review, Springer, vol. 29(3), pages 481-515, July.
    9. Adrian Marek Burda & Blazej Mazur & Mateusz Pawel Pipien, 2017. "Forecasting EUR/PLN Exchange Rate: the Role of Purchasing Power Parity Hypothesis in ESTVEC Models," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 17, pages 97-114.
    10. José María Serrano & María Dolores Gadea & Marcela Sabaté, 2016. "Lost in intervention. The Harrod--Balassa--Samuelson effect on the peseta/dollar real exchange rate (1870--1998)," Applied Economics Letters, Taylor & Francis Journals, vol. 23(14), pages 1012-1017, September.
    11. Nicolau João, 2011. "Purchasing Power Parity Analyzed from a Continuous-Time Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(3), pages 1-26, May.

  13. I A Venetis & I Paya & D Peel, 2009. "ESTAR model with multiple fixed points. Testing and Estimation," Working Papers 599093, Lancaster University Management School, Economics Department.

    Cited by:

    1. Si Mohammed, Kamel & Chérif touil, Noreddine & Maliki, Samir, 2015. "An Empirical Test of Purchasing Power Parity of the Algerian Exchange Rate: Evidence from Panel Dynamic," MPRA Paper 75285, University Library of Munich, Germany.
    2. Kotz Hans-Helmut & Semmler Willi & Tahri Ibrahim, 2018. "Financial fragmentation and the monetary transmission mechanism in the euro area: a smooth transition VAR approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-19, December.

  14. S Zhang & I Paya & D Peel, 2009. "Linkages between Shanghai and Hong Kong stock indices," Working Papers 599248, Lancaster University Management School, Economics Department.

    Cited by:

    1. Jan F. Kiviet & Zhenxi Chen, 2018. "A Critical Appraisal of Studies Analyzing Co-movement of International Stock Markets," Annals of Economics and Finance, Society for AEF, vol. 19(1), pages 151-196, May.
    2. Alexandridis, G. & Sahoo, S. & Visvikis, I., 2017. "Economic information transmissions and liquidity between shipping markets: New evidence from freight derivatives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 98(C), pages 82-104.
    3. Chow, Gregory C. & Liu, Changjiang & Niu, Linlin, 2011. "Co-movements of Shanghai and New York Stock prices by time-varying regressions," BOFIT Discussion Papers 16/2011, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. Zhou, Xinmiao & Qian, Huanhuan & Pérez-Rodríguez, Jorge. V. & González López-Valcárcel, Beatriz, 2020. "Risk dependence and cointegration between pharmaceutical stock markets: The case of China and the USA," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    5. Sunil S. Poshakwale & Anandadeep Mandal, 2017. "Sources of time varying return comovements during different economic regimes: evidence from the emerging Indian equity market," Review of Quantitative Finance and Accounting, Springer, vol. 48(4), pages 859-892, May.
    6. Zhenxi CHEN & Jan F. KIVIET & Weihong Huang, 2014. "Hong Kong: A Bridge Connecting Mainland China and the International Market," Economic Growth Centre Working Paper Series 1406, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    7. Wu, Weiou & Lau, Marco Chi Keung & Vigne, Samuel A., 2017. "Modelling asymmetric conditional dependence between Shanghai and Hong Kong stock markets," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1137-1149.
    8. Jan F. Kiviet, 2016. "Discriminating between (in)valid external instruments and (in)valid exclusion restrictions," Economic Growth Centre Working Paper Series 1508, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    9. Thomas C. Chiang & Lanjun Lao & Qingfeng Xue, 2016. "Comovements between Chinese and global stock markets: evidence from aggregate and sectoral data," Review of Quantitative Finance and Accounting, Springer, vol. 47(4), pages 1003-1042, November.
    10. Luke Lin & Wen-Yuan Lin, 2018. "Does the major market influence transfer? Alternative effect on Asian stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 1169-1200, May.
    11. Zhenxi Chen & Jan F. Kiviet & Weihong Huang, 2015. "On the integration of China's main stock exchange with the international financial market," Economic Growth Centre Working Paper Series 1505, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    12. Jan F. Kiviet & Zhenxi Chen, 2016. "A critical appraisal of studies analyzing co-movement of international stock markets with a focus on East-Asian indices," Economic Growth Centre Working Paper Series 1606, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    13. Raza, Hamid & Wu, Weiou, 2018. "Quantile dependence between the stock, bond and foreign exchange markets – Evidence from the UK," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 286-296.

  15. E Pavlidis & I Paya & D Peel, 2009. "Forecasting the Real Exchange Rate using a Long Span of Data. A Rematch: Linear vs Nonlinear," Working Papers 601190, Lancaster University Management School, Economics Department.

    Cited by:

    1. Yoon, Gawon, 2010. "Do real exchange rates really follow threshold autoregressive or exponential smooth transition autoregressive models?," Economic Modelling, Elsevier, vol. 27(2), pages 605-612, March.

  16. Nobay, A. Robert & Paya, Ivan & Peel, David A., 2007. "Inflation dynamics in the US - a nonlinear perspective," LSE Research Online Documents on Economics 24499, London School of Economics and Political Science, LSE Library.

    Cited by:

    1. Tierney, Heather L.R., 2010. "Real-Time Data Revisions and the PCE Measure of Inflation," MPRA Paper 22387, University Library of Munich, Germany, revised Apr 2010.
    2. Carlos Usabiaga & Diego Romero-Ávila, 2012. "New Disaggregate Evidence on Spanish Inflation Persistence," EcoMod2012 3800, EcoMod.
    3. Diego Romero-Ávila & Carlos Usabiaga, 2012. "Disaggregate evidence on Spanish inflation persistence," Applied Economics, Taylor & Francis Journals, vol. 44(23), pages 3029-3046, August.

  17. I Paya & D Peel, 2006. "On the relationship between Nominal Exchange Rates and domestic and foreign prices," Working Papers 577409, Lancaster University Management School, Economics Department.

    Cited by:

    1. McMillan, David G., 2009. "The confusing time-series behaviour of real exchange rates: Are asymmetries important?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 692-711, October.
    2. John Beirne, 2012. "The long-run convergence of exchange rates and prices in the European Union," International Review of Applied Economics, Taylor & Francis Journals, vol. 26(3), pages 367-385, April.
    3. I Paya & D Peel, 2005. "Temporal aggregation of an ESTAR process," Working Papers 565938, Lancaster University Management School, Economics Department.
    4. Ivan Paya & David A. Peel, 2004. "Temporal Aggregation Of An Estar Process: Some Implications For Purchasing Power Parity Adjustment," Working Papers. Serie AD 2004-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    5. Grossmann, Axel & McMillan, David G., 2010. "Forecasting exchange rates: Non-linear adjustment and time-varying equilibrium," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(4), pages 436-450, October.

  18. Meenagh, David & Minford, Patrick & Peel, David, 2006. "Simulating Stock Returns under switching regimes - a new test of market efficiency," Cardiff Economics Working Papers E2006/13, Cardiff University, Cardiff Business School, Economics Section.

    Cited by:

    1. Minford, Patrick & Hatcher, Michael, 2014. "Stabilization policy, rational expectations and price-level versus infl?ation targeting: a survey," CEPR Discussion Papers 9820, C.E.P.R. Discussion Papers.
    2. Patrick Minford, 2010. "The Banking Crisis: A Rational Interpretation," Political Studies Review, Political Studies Association, vol. 8(1), pages 40-54, January.
    3. ap Gwilym, Rhys, 2010. "Can behavioral finance models account for historical asset prices?," Economics Letters, Elsevier, vol. 108(2), pages 187-189, August.

  19. M A Clatworthy & D Peel & P F Pope, 2006. "Are analysts’ loss functions asymmetric?," Working Papers 574591, Lancaster University Management School, Economics Department.

    Cited by:

    1. Osman Yukselturk & Jon Tucker, 2015. "The impact of analyst sentiment on UK stock recommendations and target prices," Accounting and Business Research, Taylor & Francis Journals, vol. 45(6-7), pages 869-904, December.
    2. Franses, Ph.H.B.F. & Legerstee, R. & Paap, R., 2011. "Estimating Loss Functions of Experts," Econometric Institute Research Papers EI2011-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  20. I Paya & D Peel, 2005. "Temporal aggregation of an ESTAR process," Working Papers 565938, Lancaster University Management School, Economics Department.

    Cited by:

    1. Soubarna Pal, 2011. "Productivity Differential and Bilateral Real Exchange Rate between India and US," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(1), pages 146-155.

  21. M A Clatworthy & D Peel & P F Pope, 2005. "Are analysts' loss functions asymmetric?," Working Papers 574124, Lancaster University Management School, Economics Department.

    Cited by:

    1. Franses, Ph.H.B.F. & Legerstee, R. & Paap, R., 2011. "Estimating Loss Functions of Experts," Econometric Institute Research Papers EI2011-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
    3. De Rezende, Rafael B., 2015. "Risks in macroeconomic fundamentals and excess bond returns predictability," Working Paper Series 295, Sveriges Riksbank (Central Bank of Sweden).
    4. Po‐Chang Chen & Ganapathi S. Narayanamoorthy & Theodore Sougiannis & Hui Zhou, 2020. "Analyst underreaction and the post‐forecast revision drift," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(9-10), pages 1151-1181, October.
    5. Fildes, Robert, 2015. "Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 140-143.
    6. George Christodoulakis, 2006. "Generalised Rational Bias in Financial Forecasts," Annals of Finance, Springer, vol. 2(4), pages 397-405, October.
    7. de Mendonça, Helder Ferreira & de Deus, Joseph David Barroso Vasconcelos, 2019. "Central bank forecasts and private expectations: An empirical assessment from three emerging economies," Economic Modelling, Elsevier, vol. 83(C), pages 234-244.

  22. D Byers & D Peel & D A Thomas, 2005. "Habit, aggregation and long memory: evidence from television audience data," Working Papers 567397, Lancaster University Management School, Economics Department.

    Cited by:

    1. McHale, I.G. & Peel, D.A., 2010. "Habit and long memory in UK lottery sales," Economics Letters, Elsevier, vol. 109(1), pages 7-10, October.

  23. Minford, Patrick & Peel, David, 2005. "On the equality of Real Interest Rates across borders in Integrated Capital Markets," Cardiff Economics Working Papers E2005/3, Cardiff University, Cardiff Business School, Economics Section.

    Cited by:

    1. Pan, Wenrong & Xie, Tao & Wang, Zhuwang & Ma, Lisha, 2022. "Digital economy: An innovation driver for total factor productivity," Journal of Business Research, Elsevier, vol. 139(C), pages 303-311.
    2. Peter Claeys & Rosina Moreno & Jordi Suriñach, 2010. "Fiscal Policy and Interest Rates: The Role of Financial and Economic Integration," Advances in Spatial Science, in: Antonio Páez & Julie Gallo & Ron N. Buliung & Sandy Dall'erba (ed.), Progress in Spatial Analysis, pages 311-336, Springer.
    3. Claeys, Peter & Moreno, Rosina & Suriñach, Jordi, 2012. "Debt, interest rates, and integration of financial markets," Economic Modelling, Elsevier, vol. 29(1), pages 48-59.

  24. D Byers & J Davidson & D Peel, 2005. "The long memory model of political support: some further results," Working Papers 574090, Lancaster University Management School, Economics Department.

    Cited by:

    1. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michael Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," CREATES Research Papers 2014-23, Department of Economics and Business Economics, Aarhus University.
    2. Hassler, Uwe & Hosseinkouchack, Mehdi, 2014. "Effect of the order of fractional integration on impulse responses," Economics Letters, Elsevier, vol. 125(2), pages 311-314.
    3. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2016. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," CREATES Research Papers 2016-30, Department of Economics and Business Economics, Aarhus University.
    4. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    5. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.

  25. Ivan Paya & David A. Peel, 2005. "The Process Followed By Ppp Data. On The Properties Of Linearity Tests," Working Papers. Serie AD 2005-23, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

    Cited by:

    1. Yamin Ahmad & Stuart Glosser, 2007. "Searching for Nonlinearities in Real Exchange Rates?," Working Papers 09-01, UW-Whitewater, Department of Economics, revised Jan 2009.
    2. Mohsen Bahmani-Oskooee & Ali Kutan & Su Zhou, 2009. "Towards solving the PPP puzzle: evidence from 113 countries," Applied Economics, Taylor & Francis Journals, vol. 41(24), pages 3057-3066.
    3. Michael Frömmel & Darko B. Vukovic & Jinyuan Wu, 2022. "The Dollar Exchange Rate, Adjustment to the Purchasing Power Parity, and the Interest Rate Differential," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    4. Bevilacqua, Franco, 2006. "Random walks and cointegration relationships in international parity conditions between Germany and USA for the post Bretton-Woods period," MERIT Working Papers 2006-012, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    5. Yoon, Gawon, 2010. "Do real exchange rates really follow threshold autoregressive or exponential smooth transition autoregressive models?," Economic Modelling, Elsevier, vol. 27(2), pages 605-612, March.
    6. Bevilacqua, Franco, 2006. "Random walks and cointegration relationships in international parity conditions between Germany and USA for the Bretton-Woods period," MERIT Working Papers 2006-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    7. Gawon Yoon, 2010. "Nonlinear mean-reversion to purchasing power parity: exponential smooth transition autoregressive models and stochastic unit root processes," Applied Economics, Taylor & Francis Journals, vol. 42(4), pages 489-496.
    8. Mohsen Bahmani‐Oskooee & Scott W. Hegerty, 2009. "Purchasing Power Parity In Less‐Developed And Transition Economies: A Review Paper," Journal of Economic Surveys, Wiley Blackwell, vol. 23(4), pages 617-658, September.
    9. Mohsen Bahmani-Oskooee & Omid Ranjbar, 2016. "Quantile unit root test and PPP: evidence from 23 OECD countries," Applied Economics, Taylor & Francis Journals, vol. 48(31), pages 2899-2911, July.
    10. Sanusi, Aliyu Rafindadi, 2010. "Exchange rate pass-through to consumer prices in Ghana: Evidence from structural vector auto-regression," MPRA Paper 29491, University Library of Munich, Germany.
    11. Efthymios Pavlidis & Ivan Paya & David Peel, 2010. "Further empirical evidence on the consumption-real exchange rate anomaly," Working Papers 447022, Lancaster University Management School, Economics Department.

  26. Ivan Paya & David A. Peel, 2005. "A New Analysis Of The Determinants Of The Real Dollar-Sterling Exchange Rate: 1871-1994," Working Papers. Serie AD 2005-16, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

    Cited by:

    1. E Pavlidis & I Paya & D Peel, 2009. "Real Exchange Rates and Time-Varying Trade Costs," Working Papers 600537, Lancaster University Management School, Economics Department.
    2. Ahmad, Yamin & Craighead, William D., 2011. "Temporal aggregation and purchasing power parity persistence," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 817-830, September.
    3. Pavlidis Efthymios G & Paya Ivan & Peel David A, 2010. "Specifying Smooth Transition Regression Models in the Presence of Conditional Heteroskedasticity of Unknown Form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-40, May.
    4. I A Venetis & I Paya & D Peel, 2009. "ESTAR model with multiple fixed points. Testing and Estimation," Working Papers 599093, Lancaster University Management School, Economics Department.
    5. Lothian, James R. & Taylor, Mark P., 2006. "Real Exchange Rates Over the Past Two Centuries: How Important is the Harrod-Balassa-Samuelson Effect?," Economic Research Papers 269738, University of Warwick - Department of Economics.
    6. I Paya & D Peel, 2005. "Temporal aggregation of an ESTAR process," Working Papers 565938, Lancaster University Management School, Economics Department.
    7. Ivan Paya & David A. Peel, 2004. "Temporal Aggregation Of An Estar Process: Some Implications For Purchasing Power Parity Adjustment," Working Papers. Serie AD 2004-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    8. Ahmad, Yamin & Lo, Ming Chien & Mykhaylova, Olena, 2013. "Volatility and persistence of simulated DSGE real exchange rates," Economics Letters, Elsevier, vol. 119(1), pages 38-41.

  27. M Cain & D Law & D Peel, 2005. "Cumulative prospect theory and gambling," Working Papers 566823, Lancaster University Management School, Economics Department.

    Cited by:

    1. D. Law & D. A. Peel, 2007. "Gambling and nonexpected utility: the perils of the power function," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 79-82.
    2. Maschke Mario & Schmidt Ulrich, 2011. "Das Wettmonopol in Deutschland: Status quo und Reformansätze," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 60(1), pages 110-124, April.

  28. D Peel & I A Venetis, 2005. "Smooth transition models and arbitrage consistency," Working Papers 566786, Lancaster University Management School, Economics Department.

    Cited by:

    1. Giorgio Valente & Mr. Gene L. Leon & Lucio Sarno, 2006. "Nonlinearity in Deviations From Uncovered Interest Parity: An Explanation of the Forward Bias Puzzle," IMF Working Papers 2006/136, International Monetary Fund.
    2. Jiang, Chun & Li, Xiao-Lin & Chang, Hsu-Ling & Su, Chi-Wei, 2013. "Uncovered interest parity and risk premium convergence in Central and Eastern European countries," Economic Modelling, Elsevier, vol. 33(C), pages 204-208.
    3. Lin, Jeng-Bau & Liang, Chin-Chia & Yeh, Ming-Liang, 2011. "Examining nonlinear dynamics of exchange rates and forecasting performance based on the exchange rate parity of four Asian economies," Japan and the World Economy, Elsevier, vol. 23(2), pages 79-85, March.
    4. Copeland, Laurence & Lu, Wenna, 2016. "Dodging the steamroller: Fundamentals versus the carry trade," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 115-131.
    5. Su, Chi-Wei & Chang, Hsu-Ling & Chang, Tsangyao & Yin, Kedong, 2014. "Monetary convergence in East Asian countries relative to China," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 228-237.
    6. Copeland, Laurence & Heravi, Saeed, 2006. "Structural Breaks in the Real Exchange Rate Adjustment Mechanism," Cardiff Economics Working Papers E2006/21, Cardiff University, Cardiff Business School, Economics Section.
    7. Nicolau João, 2011. "Purchasing Power Parity Analyzed from a Continuous-Time Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(3), pages 1-26, May.
    8. Copeland, Laurence & Lu, Wenna, 2013. "Dodging the Steamroller: Fundamentals versus the Carry Trade," Cardiff Economics Working Papers E2013/11, Cardiff University, Cardiff Business School, Economics Section, revised Dec 2013.
    9. Paya, Ivan & Peel, David A. & Spiru, Alina, 2010. "The forward premium puzzle in the interwar period and deviations from covered interest parity," Economics Letters, Elsevier, vol. 108(1), pages 55-57, July.
    10. Wen Zhang & Hsu-Ling Chang & Chi-Wei Su, 2014. "Do real interest rates converge across Latin american countries?," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 13(2), pages 117-130, August.
    11. Liu, Yan & Chang, Hsu-Ling & Su, Chi-Wei, 2013. "Do real interest rates converge across East Asian countries based on China?," Economic Modelling, Elsevier, vol. 31(C), pages 467-473.

  29. Ivan Paya & David A. Peel, 2004. "Temporal Aggregation Of An Estar Process: Some Implications For Purchasing Power Parity Adjustment," Working Papers. Serie AD 2004-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

    Cited by:

    1. Ivan Paya & David A. Peel, 2004. "Nonlinear Ppp Under The Gold Standard," Working Papers. Serie AD 2004-24, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    2. Ivan Paya & David Peel, 2005. "The process followed by PPP data. On the properties of linearity tests," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2515-2522.
    3. Imene Mootamri & Mohamed Boutahar & Anne Peguin-Feissolle, 2008. "A fractionally integrated exponential STAR model applied to the US real effective exchange rate," Post-Print halshs-00390134, HAL.
    4. E Pavlidis & I Paya & D Peel, 2009. "Real Exchange Rates and Time-Varying Trade Costs," Working Papers 600537, Lancaster University Management School, Economics Department.
    5. Juvenal Luciana & Taylor Mark P., 2008. "Threshold Adjustment of Deviations from the Law of One Price," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-46, September.
    6. Yamin Ahmad & Stuart Glosser, 2007. "Searching for Nonlinearities in Real Exchange Rates?," Working Papers 09-01, UW-Whitewater, Department of Economics, revised Jan 2009.
    7. I Paya & D Peel, 2005. "Temporal aggregation of an ESTAR process," Working Papers 565938, Lancaster University Management School, Economics Department.
    8. Yamin Ahmad & Ivan Paya, 2014. "Temporal Aggregation of Random Walk Processes and Implications for Asset Prices," Working Papers 14-01, UW-Whitewater, Department of Economics.
    9. Ivan Paya & David A. Peel, 2004. "Temporal Aggregation Of An Estar Process: Some Implications For Purchasing Power Parity Adjustment," Working Papers. Serie AD 2004-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    10. Ivan Paya & David A. Peel, 2011. "Systematic sampling of nonlinear models: Evidence on speed of adjustment in index futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(2), pages 192-203, February.
    11. Derek Stimel, 2010. "Choice of Aggregate Demand Proxy and its Affect on Phillips Curve Nonlinearity: U.S. Evidence," Economics Bulletin, AccessEcon, vol. 30(1), pages 543-557.
    12. I Paya & D Peel, 2005. "A new analysis of the determinants of the real dollar-sterling exchange rate: 1871-1994," Working Papers 565953, Lancaster University Management School, Economics Department.
    13. Ahmad Yamin S & Paya Ivan, 2020. "Temporal aggregation of random walk processes and implications for economic analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(2), pages 1-20, April.
    14. Mohamed Boutahar & Imene Mootamri & Anne Peguin-Feissolle, 2007. "An exponential FISTAR model applied to the US real effective exchange rate," Working Papers halshs-00353836, HAL.

  30. Minford, Patrick & Peel, David, 2004. "Calvo Contracts: A Critique," CEPR Discussion Papers 4288, C.E.P.R. Discussion Papers.

    Cited by:

    1. Jean-Philippe Laforte, 2005. "Pricing models: a Bayesian DSGE approach to the U.S. economy," Proceedings, Board of Governors of the Federal Reserve System (U.S.).
    2. Bruchez, Pierre-Alain, 2007. "A Hybrid Sticky-Price and Sticky-Information Model," MPRA Paper 3540, University Library of Munich, Germany.
    3. Le, Vo Phuong Mai & Minford, Patrick, 2007. "Optimising indexation arrangements under Calvo contracts and their implications for monetary policy," Cardiff Economics Working Papers E2007/7, Cardiff University, Cardiff Business School, Economics Section.
    4. Paul Levine & Joseph Pearlman & Bo Yang, 2008. "The Credibility Problem Revisited: Thirty Years on from Kydland and Prescott," Review of International Economics, Wiley Blackwell, vol. 16(4), pages 728-746, September.
    5. Collard, Fabrice & Dellas, Harris, 2006. "Misperceived Money and Inflation Dynamics," IDEI Working Papers 424, Institut d'Économie Industrielle (IDEI), Toulouse.
    6. P ez-Farrell, Juan, 2007. "Optimal Monetary Policy Under Inflation Targeting: Is Zero the Optimal Perception of Inflation Inertia?," Cardiff Economics Working Papers E2007/17, Cardiff University, Cardiff Business School, Economics Section.
    7. Ariyanto, Anto, 2017. "CRITICAL REVIEW : Inflasi dan Pertumbuhan Jangka Panjang : Sebuah Teori Baru Keynesian dan Bukti semiparametrik Lanjut," INA-Rxiv 5ydqg, Center for Open Science.
    8. Juan Páez‐Farrell, 2007. "Output And Inflation In Models Of The Business Cycle With Nominal Rigidities: Further Counterfactual Implications," Scottish Journal of Political Economy, Scottish Economic Society, vol. 54(4), pages 475-491, September.

  31. Ivan Paya & David A. Peel, 2004. "Nonlinear Ppp Under The Gold Standard," Working Papers. Serie AD 2004-24, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

    Cited by:

    1. Ivan Paya & David Peel, 2005. "The process followed by PPP data. On the properties of linearity tests," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2515-2522.
    2. I Paya & D Peel, 2005. "Temporal aggregation of an ESTAR process," Working Papers 565938, Lancaster University Management School, Economics Department.
    3. Ivan Paya & David A. Peel, 2004. "Temporal Aggregation Of An Estar Process: Some Implications For Purchasing Power Parity Adjustment," Working Papers. Serie AD 2004-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

  32. Ivan Paya & David A. Peel & Ioannis A. Venetis, 2004. "Asymmetry In The Link Between The Yield Spread And Industrial Production. Threshold Effects And Forecasting," Working Papers. Serie AD 2004-41, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

    Cited by:

    1. Yutaka Kurihara, 2014. "Does High Yield Spread Dampen Economic Growth?: The Case of US-Japan," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 3(2), pages 01-09, April.
    2. Schrimpf, Andreas & Wang, Qingwei, 2010. "A reappraisal of the leading indicator properties of the yield curve under structural instability," International Journal of Forecasting, Elsevier, vol. 26(4), pages 836-857, October.
    3. 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.
    4. Giancarlo Bruno, 2009. "Non-linear relation between industrial production and business surveys data," ISAE Working Papers 119, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).

  33. Minford, Patrick & Peel, David, 2002. "Exploitability as a Specification Test of the Phillips Curve," CEPR Discussion Papers 3612, C.E.P.R. Discussion Papers.

    Cited by:

    1. Minford, Patrick & Peel, David, 2004. "Calvo Contracts: A Critique," CEPR Discussion Papers 4288, C.E.P.R. Discussion Papers.
    2. Le, Vo Phuong Mai & Minford, Patrick, 2007. "Optimising indexation arrangements under Calvo contracts and their implications for monetary policy," Cardiff Economics Working Papers E2007/7, Cardiff University, Cardiff Business School, Economics Section.
    3. Hasan Bakhshi & Pablo Burriel-Llombart, 2003. "Endogenous Price Stickiness, Trend Inflation, and the New Keynesian Phillips Curve," Computing in Economics and Finance 2003 12, Society for Computational Economics.
    4. Bakhshi, Hasan & Khan, Hashmat & Burriel-Llombart, Pablo & Rudolf, Barbara, 2007. "The New Keynesian Phillips curve under trend inflation and strategic complementarity," Journal of Macroeconomics, Elsevier, vol. 29(1), pages 37-59, March.

  34. Taylor, Mark & Peel, David & Sarno, Lucio, 2002. "Non-Linear Equilibrium Corection in US Real Money Balances, 1869-1997," CEPR Discussion Papers 3249, C.E.P.R. Discussion Papers.

    Cited by:

    1. Buncic, Daniel & Lentner, Philipp, 2016. "The term structure of interest rates in an estimated New Keynesian policy model," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 126-150.
    2. Kerry Patterson & Michael A. Thornton, 2013. "A review of econometric concepts and methods for empirical macroeconomics," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 2, pages 4-42, Edward Elgar Publishing.
    3. Q.Farooq Akram & Øyvind Eitrheim & Lucio Sarno, 2006. "Non-linear Dynamics in Output, Real Exchange Rates and Real Money Balances: Norway, 1830-2003," Contributions to Economic Analysis, in: Nonlinear Time Series Analysis of Business Cycles, pages 333-377, Emerald Group Publishing Limited.
    4. Alexi Thompson & Henry Thompson, 2021. "Six decades of inflation and money demand," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 45(2), pages 240-251, April.
    5. Jan Tin, 2010. "Bequest motives and household money demand," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 34(3), pages 269-283, July.
    6. Lee, Chien-Chiang & Chen, Pei-Fen & Chang, Chun-Ping, 2007. "Testing linearity in a cointegrating STR model for the money demand function: International evidence from G-7 countries," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 76(4), pages 293-302.
    7. Kaufmann, Sylvia & Kugler, Peter, 2005. "Expected Money Growth, Markov Trends and the Instability of Money Demand in the Euro Area," Working papers 2005/07, Faculty of Business and Economics - University of Basel.
    8. Ringwald, Leopold & Zörner, Thomas O., 2023. "The money-inflation nexus revisited," Journal of Empirical Finance, Elsevier, vol. 73(C), pages 293-333.
    9. Maki, Daiki, 2010. "An alternative procedure to test for cointegration in STAR models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(5), pages 999-1006.
    10. Amisano, Gianni & Fagan, Gabriel, 2013. "Money growth and inflation: A regime switching approach," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 118-145.
    11. Switzer, Lorne N. & Picard, Alan, 2016. "Stock market liquidity and economic cycles: A non-linear approach," Economic Modelling, Elsevier, vol. 57(C), pages 106-119.
    12. Jyh-Lin Wu & Yu-Hau Hu, 2007. "Currency substitution and nonlinear error correction in Taiwan's demand for broad money," Applied Economics, Taylor & Francis Journals, vol. 39(13), pages 1635-1645.
    13. Calza, Alessandro & Zaghini, Andrea, 2009. "Nonlinearities In The Dynamics Of The Euro Area Demand For M1," Macroeconomic Dynamics, Cambridge University Press, vol. 13(1), pages 1-19, February.
    14. Andreas Röthig, 2009. "Microeconomic Risk Management and Macroeconomic Stability," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-642-01565-6, December.
    15. Daiki Maki, 2013. "Detecting cointegration relationships under nonlinear models: Monte Carlo analysis and some applications," Empirical Economics, Springer, vol. 45(1), pages 605-625, August.
    16. Daiki Maki & Shin-ichi Kitasaka, 2015. "Residual-based tests for cointegration with three-regime TAR adjustment," Empirical Economics, Springer, vol. 48(3), pages 1013-1054, May.

  35. Taylor, Mark & Peel, David & Sarno, Lucio, 2001. "Nonlinear Mean-Reversion in Real Exchange Rates: Towards a Solution to the Purchasing Power Parity Puzzles," CEPR Discussion Papers 2658, C.E.P.R. Discussion Papers.

    Cited by:

    1. Nikolaou, Kleopatra, 2008. "The behaviour of the real exchange rate: Evidence from regression quantiles," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 664-679, May.
    2. Mohsen Bahmani-Oskooee & Ali M. Kutan & Su Zhou, 2009. "A century of PPP: supportive results from nonlinear unit root tests," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 11(1), pages 19-27.
    3. Westerhoff Frank H. & Reitz Stefan, 2003. "Nonlinearities and Cyclical Behavior: The Role of Chartists and Fundamentalists," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(4), pages 1-15, December.
    4. van Dijk, Dick & Hans Franses, Philip & Peter Boswijk, H., 2007. "Absorption of shocks in nonlinear autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4206-4226, May.
    5. Ivan Paya & David A. Peel, 2004. "Nonlinear Ppp Under The Gold Standard," Working Papers. Serie AD 2004-24, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    6. McMillan, David G., 2009. "The confusing time-series behaviour of real exchange rates: Are asymmetries important?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 692-711, October.
    7. Fredj Jawadi & Georges Prat, 2012. "Arbitrage costs and nonlinear adjustment in the G7 stock markets," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1561-1582, April.
    8. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2015. "Nonlinear Time Series and Neural-Network Models of Exchange Rates between the US Dollar and Major Currencies," Tinbergen Institute Discussion Papers 15-125/III, Tinbergen Institute.
    9. Fullerton Jr., Thomas M. & Fierro, Karen P. & Villalobos, Emmanuel, 2009. "Cross-border restaurant price and exchange rate interactions," The North American Journal of Economics and Finance, Elsevier, vol. 20(3), pages 281-288, December.
    10. Kilian, L. & Zha, T., 1999. "Quantifying the Half-Life of Deviations from PPP: The Role of Economic Priors," Papers 99-08, Michigan - Center for Research on Economic & Social Theory.
    11. Ivan Paya & David Peel, 2005. "The process followed by PPP data. On the properties of linearity tests," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2515-2522.
    12. Venus Khim-Sen Liew & Kian-Ping Lim & Evan Lau & Chee-Keong Choong, 2003. "Exchange Rate – Relative Price Relationship: Nonlinear Evidence from Malaysia," International Finance 0311014, University Library of Munich, Germany.
    13. Juan Carlos Cuestas, 2007. "Purchasing Power Parity In Central And Eastern European Countries: An Analysis Of Unit Roots And Nonlinearities," Working Papers. Serie AD 2007-22, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    14. Gamboa-Estrada, Fredy, 2019. "The effectiveness of foreign exchange intervention in Latin America: A nonlinear approach to the coordination channel," Global Finance Journal, Elsevier, vol. 40(C), pages 13-27.
    15. Chi-Wei Su & Tsangyao Chang & Yu-Shao Liu, 2012. "Revisiting purchasing power parity for African countries: with nonlinear panel unit-root tests," Applied Economics, Taylor & Francis Journals, vol. 44(25), pages 3263-3273, September.
    16. Luciana Juvenal & Mark P. Taylor, 2007. "The Law of One Price: Nonlinearities in Sectoral Real Exchange Rate Dynamics," Money Macro and Finance (MMF) Research Group Conference 2006 80, Money Macro and Finance Research Group.
    17. Buncic, Daniel, 2009. "Understanding forecast failure in ESTAR models of real exchange rates," MPRA Paper 13121, University Library of Munich, Germany.
    18. Nikolaos Giannellis & Athanasios Papadopoulos, 2007. "Estimating the Equilibrium Effective Exchange Rate for Potential EMU Members," Open Economies Review, Springer, vol. 18(3), pages 307-326, July.
    19. Álvaro Aguirre R. & César A. Calderón, 2013. "Asimetrías en el Ajuste del Desalineamiento Cambiario en Chile," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 16(3), pages 90-101, December.
    20. Beckmann, Joscha & Czudaj, Robert, 2017. "Exchange rate expectations and economic policy uncertainty," European Journal of Political Economy, Elsevier, vol. 47(C), pages 148-162.
    21. Kiliç, Rehim, 2009. "Further on nonlinearity, persistence, and integration properties of real exchange rates," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(2), pages 207-221, April.
    22. Bertram, Philip & Ma, Jun & Sibbertsen, Philipp, 2015. "Real exchange rates and economic fundamentals: An investigation based on a Markov-STAR model," Hannover Economic Papers (HEP) dp-565, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    23. María Gadea & Marcela Sabaté, 2004. "The European Periphery in the Era of the Gold Standard: The Case of the Spanish Peseta and the Pound Sterling from 1883 to 1931," Open Economies Review, Springer, vol. 15(1), pages 63-85, January.
    24. Matteo Pelagatti & Emilio Colombo, 2012. "Unpuzzling the Purchasing Power Parity Puzzle," Working Papers 221, University of Milano-Bicocca, Department of Economics, revised Mar 2012.
    25. Christopher J. Neely & Lucio Sarno, 2002. "How well do monetary fundamentals forecast exchange rates?," Review, Federal Reserve Bank of St. Louis, vol. 84(Sep), pages 51-74.
    26. Emilio Colombo & Matteo Pelagatti, 2019. "Statistical Learning and Exchange Rate Forecasting," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis1901, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
    27. Yin-Wong Cheung & Kon S. Lai, 1999. "On Cross-Country Differences in the Persistence of Real Exchange Rates," CESifo Working Paper Series 218, CESifo.
    28. Giorgio Canarella & Luis A. Gil-Alana & Rangan Gupta & Stephen M. Miller, 2022. "Globalization, long memory, and real interest rate convergence: a historical perspective," Empirical Economics, Springer, vol. 63(5), pages 2331-2355, November.
    29. Kim, Hyeongwoo & Ryu, Deockhyun, 2015. "A nonparametric study of real exchange rate persistence over a century," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 406-418.
    30. Venus Khim-Sen Liew & Ahmad Zubaidi Baharumshah & Kian-Ping Lim, 2003. "On Singaporean Dollar-U.S. Dollar and Purchasing Power Parity," International Finance 0309001, University Library of Munich, Germany, revised 01 Nov 2004.
    31. Costas Milas & Jesús Otero & Theodore Panagiotidis, 2004. "Forecasting the spot prices of various coffee types using linear and non-linear error correction models," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 277-288.
    32. Peter Martey Addo & Monica Billio & Dominique Guegan, 2014. "The univariate MT-STAR model and a new linearity and unit root test procedure," Post-Print hal-01310518, HAL.
    33. Guglielmo Maria Caporale & Christoph Hanck, 2010. "Are PPP tests erratically behaved? Some panel evidence," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(2), pages 203-221.
    34. Jaehun Chung & Yongmiao Hong, 2007. "Model-free evaluation of directional predictability in foreign exchange markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 855-889.
    35. Cuestas, Juan C. & Gil-Alana, Luís A., 2009. "Further evidence on the PPP analysis of the Australian dollar: Non-linearities, fractional integration and structural changes," Economic Modelling, Elsevier, vol. 26(6), pages 1184-1192, November.
    36. Christina Anderl & Guglielmo Maria Caporale, 2022. "Exchange rate parities and Taylor rule deviations," Empirical Economics, Springer, vol. 63(4), pages 1809-1835, October.
    37. Jerry Coakley & Ana-Maria Fuertes & Andrew Wood, 2004. "A new interpretation of the exchange rate-yield differential nexus," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 201-218.
    38. Venetis, Ioannis A. & Paya, Ivan & Peel, David A., 2007. "Deterministic impulse response in a nonlinear model. An analytical expression," Economics Letters, Elsevier, vol. 95(3), pages 315-319, June.
    39. Lucio Sarno & Mark P. Taylor, 2002. "Purchasing Power Parity and the Real Exchange Rate," IMF Staff Papers, Palgrave Macmillan, vol. 49(1), pages 1-5.
    40. Tsangyao Chang & Hsu-Ling Chang & Ken Hung & Chi-Wei Su, 2012. "Nonlinear adjustment to purchasing power parity for Germany's real exchange rate relative to its major trading partners," Applied Economics Letters, Taylor & Francis Journals, vol. 19(2), pages 197-202, February.
    41. Alfred Haug & Syed Basher & Perry Sadorsky, 2016. "The impact of oil price shocks on exchange rates: A non-linear smooth-transition approach," EcoMod2016 9226, EcoMod.
    42. Beckmann, Joscha & Berger, Theo & Czudaj, Robert, 2014. "Does Gold Act as a Hedge or a Safe Haven for Stocks? A Smooth Transition Approach," Ruhr Economic Papers 502, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    43. Venus Khim-Sen Liew & Hock-Ann Lee & Kian-Ping Lim & Huay-Huay Lee, 2008. "Linearity and Stationarity of South Asian Real Exchange Rates," The IUP Journal of Applied Economics, IUP Publications, vol. 0(5), pages 48-58, September.
    44. Jon Faust & John H. Rogers & Jonathan H. Wright, 2001. "Exchange rate forecasting: the errors we've really made," International Finance Discussion Papers 714, Board of Governors of the Federal Reserve System (U.S.).
    45. Kim, Bong-Han & Min, Hong-Ghi & Moh, Young-Kyu, 2010. "Nonlinear dynamics in exchange rate deviations from the monetary fundamentals: An empirical study," Economic Modelling, Elsevier, vol. 27(5), pages 1167-1177, September.
    46. Bergin, Paul R. & Glick, Reuven & Wu, Jyh-Lin, 2014. "Mussa redux and conditional PPP," Journal of Monetary Economics, Elsevier, vol. 68(C), pages 101-114.
    47. Mario Cerrato & Nick Sarantis, 2006. "Nonlinear Mean Reversion in Real Exchange Rates: Evidence from Developing and Emerging Market Economies," Economics Bulletin, AccessEcon, vol. 6(7), pages 1-14.
    48. Jón Steinsson, 2008. "The Dynamic Behavior of the Real Exchange Rate in Sticky Price Models," American Economic Review, American Economic Association, vol. 98(1), pages 519-533, March.
    49. Ricardo Hausmann & Ugo Panizza & Roberto Rigobon, 2004. "The Long-Run Volatility Puzzle of the Real Exchange Rate," NBER Working Papers 10751, National Bureau of Economic Research, Inc.
    50. HOLMES, Mark J, 2008. "Non-Linear Trend Stationarity And Co-Trending In Latin American Real Exchange Rates," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 8(1), pages 107-118.
    51. Franses, Ph.H.B.F. & van Dijk, D.J.C., 2002. "A simple test for PPP among traded goods," Econometric Institute Research Papers EI 2002-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    52. Stelios Bekiros, 2011. "Exchange Rates and Fundamentals: Co-Movement, Long-Run Relationships and Short-run Dynamics," Economics Working Papers ECO2011/21, European University Institute.
    53. Paul R. Bergin & Reuven Glick & Jyh-Lin Wu, 2016. "Conditional PPP and Real Exchange Rate Convergence in the Euro Area," NBER Working Papers 21979, National Bureau of Economic Research, Inc.
    54. Umair Khalil & Alamgir & Amjad Ali & Dost Muhammad Khan & Sajjad Ahmad Khan & Zardad Khan, 2016. "Unit Root Testing and Estimation in Nonlinear ESTAR Models with Normal and Non-Normal Errors," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-11, November.
    55. Cristina Terra & Frederico Valladares, 2009. "Real Exchange Rate Misalignments," THEMA Working Papers 2009-03, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    56. Mohsen Bahmani-Oskooee & Tsangyao Chang & Kuei-Chiu Lee, 2014. "Purchasing Power Parity in the BRICS and the MIST Countries: Sequential Panel Selection Method," Review of Economics & Finance, Better Advances Press, Canada, vol. 4, pages 1-12, Feburary.
    57. Syed A. Basher & Josep Lluis Carrión-i-Silvestre, 2008. "Deconstructing Shocks and Persistence in OECD Real Exchange Rates," Working Papers XREAP2008-06, Xarxa de Referència en Economia Aplicada (XREAP), revised Jun 2008.
    58. Imene Mootamri & Mohamed Boutahar & Anne Peguin-Feissolle, 2008. "A fractionally integrated exponential STAR model applied to the US real effective exchange rate," Post-Print halshs-00390134, HAL.
    59. Macchiarelli, Corrado, 2011. "Bond market co-movements, expected inflation and the equilibrium real exchange rate," Working Paper Series 1405, European Central Bank.
    60. Baharumshah, Ahmad Zubaidi & Liew, Venus Khim-Sen & Chowdhury, Ibrahim, 2010. "Asymmetry dynamics in real exchange rates: New results on East Asian currencies," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 648-661, October.
    61. Meher Manzur, 2018. "Exchange rate economics is always and everywhere controversial," Applied Economics, Taylor & Francis Journals, vol. 50(3), pages 216-232, January.
    62. Ahmad Zubaidi Baharumshah & Venus Khim‐Sen Liew & Chan Tze Haw, 2009. "The Real Interest Rate Differential: International Evidence Based On Non‐Linear Unit Root Tests," Bulletin of Economic Research, Wiley Blackwell, vol. 61(1), pages 83-94, January.
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    Cited by:

    1. Bec Frédérique & Ben Salem Mélika & Collard Fabrice, 2002. "Asymmetries in Monetary Policy Reaction Function: Evidence for U.S. French and German Central Banks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(2), pages 1-22, July.
    2. Alex Cukierman & Anton Muscatelli, 2001. "Do Central Banks have Precautionary Demands for Expansions and for Price Stability?," Working Papers 2002_4, Business School - Economics, University of Glasgow, revised Mar 2002.
    3. Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
    4. Paolo Surico, 2003. "How does the ECB target inflation?," Macroeconomics 0305005, University Library of Munich, Germany.
    5. M. Hashem Pesaran, 2000. "Forecast Uncertainties in Macroeconometric Modelling: An Application to the UK Economy," CESifo Working Paper Series 345, CESifo.
    6. Yakup ARI & Alexandros PAPADOPOULOS, 2016. "Bayesian Estimation Of The Parameters Of The Arch Model With Normal Innovations Using Lindley’S Approximation," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(4), pages 217-234.
    7. Timmermann, Allan & Elliott, Graham & Komunjer, Ivana, 2003. "Estimating Loss Function Parameters," CEPR Discussion Papers 3821, C.E.P.R. Discussion Papers.
    8. Alex Cukierman & V. Anton Muscatelli, 2002. "Do Central Banks have Precautionary Demands for Expansions and for Price Stability? - Theory and Evidence," CESifo Working Paper Series 764, CESifo.
    9. Ruge-Murcia, F.J., 2001. "Inflation Targeting Under Asymmetric Preferences," Cahiers de recherche 2001-04, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    10. DOLADO, J.J. & MARIA-DOLORES, R. & RUGE-MURCIA, Francisco J., 2003. "Nonlinear Monetary Policy Rules: Some New Evidence for the U.S," Cahiers de recherche 18-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    11. Paolo Surico, 2004. "Measuring the time-inconsistency of US monetary policy," Money Macro and Finance (MMF) Research Group Conference 2003 96, Money Macro and Finance Research Group.
    12. Alex Cukierman, 2002. "Are contemporary central banks transparent about economic models and objectives and what difference does it make?," Review, Federal Reserve Bank of St. Louis, vol. 84(Jul), pages 15-36.
    13. Surico, Paolo, 2003. "US Monetary Policy Rules: the Case for Asymmetric Preferences," Royal Economic Society Annual Conference 2003 199, Royal Economic Society.
    14. RUGE-MURCIA, Francisco J., 2001. "A Prudent Central Banker," Cahiers de recherche 2001-07, Universite de Montreal, Departement de sciences economiques.
    15. D. A. Peel & I. Paya & I. Venetis, 2004. "Estimates of US monetary policy rules with allowance for changes in the output gap," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 601-605.
    16. D H Kim & D R Osborn & M Sensier, 2002. "Nonlinearity in the Fed's Monetary Policy Rule," Economics Discussion Paper Series 0205, Economics, The University of Manchester.
    17. RUGE-MURCIA, Francisco J., 2002. "Does the Barro-Gordon Model Explain the Behavior of US Inflation? a Reexamination of the Empirical Evidence," Cahiers de recherche 2002-07, Universite de Montreal, Departement de sciences economiques.
    18. Lars E. O. Svensson, 2002. "Monetary policy and real stabilization," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 261-312.
    19. Kuzin, Vladimir, 2006. "The inflation aversion of the Bundesbank: A state space approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1671-1686.
    20. Svensson, Lars E.O., 2002. "The Inflation Forecast and the Loss Function," CEPR Discussion Papers 3365, C.E.P.R. Discussion Papers.
    21. Paolo Surico, 2002. "Uncovering Policy Makers' Loss Function," Macroeconomics 0210003, University Library of Munich, Germany.
    22. Paolo Surico, 2004. "Inflation Targeting and Nonlinear Policy Rules: the Case of Asymmetric Preferences," Computing in Economics and Finance 2004 108, Society for Computational Economics.
    23. Paolo Surico, 2003. "Asymmetric Reaction Functions for the Euro Area," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(1), pages 44-57.
    24. Elliott, Graham & Timmermann, Allan, 2004. "Optimal forecast combinations under general loss functions and forecast error distributions," Journal of Econometrics, Elsevier, vol. 122(1), pages 47-79, September.
    25. RUGE-MURCIA, Francisco J., 2001. "The Inflation Bias When the Central Bank Targets, the Natural Rate of Unemployment," Cahiers de recherche 2001-22, Universite de Montreal, Departement de sciences economiques.
    26. Edilean Kleber da Silva Bejarano Aragón & Marcelo Savino Portugal, 2008. "Nonlinearities in Central Bank of Brazil’s reaction function: the case of asymmetric preferences," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807151356590, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    27. Jahyun Koo & Ivan Paya & David A. Peel, 2012. "The Bank of Korea's nonlinear monetary policy rule," Applied Economics Letters, Taylor & Francis Journals, vol. 19(12), pages 1193-1202, August.

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    4. Khaki, Audil & Prasad, Mason & Al-Mohamad, Somar & Bakry, Walid & Vo, Xuan Vinh, 2023. "Re-evaluating portfolio diversification and design using cryptocurrencies: Are decentralized cryptocurrencies enough?," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Jules Sadefo Kamdem, 2023. "Risk-Adjusted Performance And Semi-Moments Of Non-Gaussian Portfolio Returns Distributions," Working Papers hal-04134833, HAL.
    6. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023. "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, vol. 56(C).
    7. Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.

  3. Nguyen Anh D. M. & Pavlidis Efthymios G. & Peel David A., 2018. "Modeling changes in US monetary policy with a time-varying nonlinear Taylor rule," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(5), pages 1-17, December.

    Cited by:

    1. Michał Rubaszek & Karol Szafranek, 2022. "Have European natural gas prices decoupled from crude oil prices? Evidence from TVP-VAR analysis," KAE Working Papers 2022-078, Warsaw School of Economics, Collegium of Economic Analysis.

  4. Marek Kacer & David A. Peel & Michael J. Peel & Nicholas Wilson, 2018. "On the persistence and dynamics of Big 4 real audit fees: Evidence from the UK," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 45(5-6), pages 714-727, May.

    Cited by:

    1. Hsihui Chang & Charles Hsu & Zhiming Ma, 2022. "Does product similarity of audit clients influence audit efficiency and pricing decisions?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(5-6), pages 807-840, May.
    2. Anh Viet Pham & Mia Hang Pham & Cameron Truong, 2022. "CEO cultural heritage and the pricing of audit services," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(1-2), pages 181-214, January.
    3. Wenxia Ge & Jeong‐Bon Kim, 2020. "How does the executive pay gap influence audit fees? The roles of R&D investment and institutional ownership," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(5-6), pages 677-707, May.
    4. Yan Luo & Steven E. Salterio, 2021. "Toward an Archival Measure of the Likelihood of Auditor‐Client Management Negotiation: An Exploration of the Audit Lag Measures Conjecture†," Accounting Perspectives, John Wiley & Sons, vol. 20(1), pages 109-143, March.
    5. Ammar Ali Gull & Ammar Abid & Rashid Latief & Muhammad Usman, 2021. "Women on board and auditors’ assessment of the risk of material misstatement," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(4), pages 679-708, December.
    6. Markus Widmann & Florian Follert & Matthias Wolz, 2021. "What is it going to cost? Empirical evidence from a systematic literature review of audit fee determinants," Management Review Quarterly, Springer, vol. 71(2), pages 455-489, April.

  5. Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2018. "Using Market Expectations to Test for Speculative Bubbles in the Crude Oil Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 833-856, August.

    Cited by:

    1. Cathy Yi-Hsuan Chen & Christian M. Hafner, 2019. "Sentiment-Induced Bubbles in the Cryptocurrency Market," JRFM, MDPI, vol. 12(2), pages 1-12, April.
    2. Fernandes, Leonardo H.S. & Araújo, Fernando H.A., 2020. "Taxonomy of commodities assets via complexity-entropy causality plane," Chaos, Solitons & Fractals, Elsevier, vol. 137(C).
    3. Umar, Muhammad & Su, Chi-Wei & Rizvi, Syed Kumail Abbas & Lobonţ, Oana-Ramona, 2021. "Driven by fundamentals or exploded by emotions: Detecting bubbles in oil prices," Energy, Elsevier, vol. 231(C).
    4. Akanksha Jalan & Roman Matkovskyy & Valerio Potì, 2022. "Shall the winning last? A study of recent bubbles and persistence," Post-Print hal-03603161, HAL.
    5. Pavlidis, Efthymios G. & Vasilopoulos, Kostas, 2020. "Speculative bubbles in segmented markets: Evidence from Chinese cross-listed stocks," Journal of International Money and Finance, Elsevier, vol. 109(C).
    6. Emily J. Whitehouse & David I. Harvey & Stephen J. Leybourne, 2023. "Real‐Time Monitoring of Bubbles and Crashes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(3), pages 482-513, June.
    7. Figuerola-Ferretti, Isabel & McCrorie, J. Roderick & Paraskevopoulos, Ioannis, 2020. "Mild explosivity in recent crude oil prices," Energy Economics, Elsevier, vol. 87(C).
    8. Wang, Xichen & Liu, Qingya, 2023. "Can the global financial cycle explain the episodes of exuberance in international housing markets?," Finance Research Letters, Elsevier, vol. 52(C).
    9. Skrobotov Anton, 2023. "Testing for explosive bubbles: a review," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-26, January.
    10. Baumeister, Christiane, 2021. "Measuring Market Expectations," CEPR Discussion Papers 16520, C.E.P.R. Discussion Papers.
    11. Khan, Khalid & Su, Chi Wei & Khurshid, Adnan, 2022. "Do booms and busts identify bubbles in energy prices?," Resources Policy, Elsevier, vol. 76(C).
    12. Yuchao Fan, 2022. "Dissecting the dot-com bubble in the 1990s NASDAQ," Papers 2206.14130, arXiv.org, revised Jul 2022.
    13. Zhao, Zhao & Wen, Huwei & Li, Ke, 2021. "Identifying bubbles and the contagion effect between oil and stock markets: New evidence from China," Economic Modelling, Elsevier, vol. 94(C), pages 780-788.
    14. Basse, Tobias & Klein, Tony & Vigne, Samuel A. & Wegener, Christoph, 2021. "U.S. stock prices and the dot.com-bubble: Can dividend policy rescue the efficient market hypothesis?," Journal of Corporate Finance, Elsevier, vol. 67(C).
    15. Gkillas, Konstantinos & Manickavasagam, Jeevananthan & Visalakshmi, S., 2022. "Effects of fundamentals, geopolitical risk and expectations factors on crude oil prices," Resources Policy, Elsevier, vol. 78(C).
    16. El Montasser, Ghassen & Malek Belhoula, Mohamed & Charfeddine, Lanouar, 2023. "Co-explosivity versus leading effects: Evidence from crude oil and agricultural commodities," Resources Policy, Elsevier, vol. 81(C).
    17. Christos Floros & Georgios Galyfianakis, 2020. "Bubbles in Crude Oil and Commodity Energy Index: New Evidence," Energies, MDPI, vol. 13(24), pages 1-11, December.
    18. Bierbaumer, Daniel & Rieth, Malte & Velinov, Anton, 2021. "The state-dependent trading behavior of banks in the oil futures market," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 1011-1024.
    19. Kruse, Robinson & Wegener, Christoph, 2020. "Time-varying persistence in real oil prices and its determinant," Energy Economics, Elsevier, vol. 85(C).
    20. Maryam Movahedifar & Hossein Hassani & Masoud Yarmohammadi & Mahdi Kalantari & Rangan Gupta, 2021. "A robust approach for outlier imputation: Singular Spectrum Decomposition," Working Papers 202164, University of Pretoria, Department of Economics.
    21. Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
    22. Gong, Xu & Guan, Keqin & Chen, Liqing & Liu, Tangyong & Fu, Chengbo, 2021. "What drives oil prices? — A Markov switching VAR approach," Resources Policy, Elsevier, vol. 74(C).
    23. Harvey, David I. & Leybourne, Stephen J. & Whitehouse, Emily J., 2020. "Date-stamping multiple bubble regimes," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 226-246.
    24. Charfeddine, Lanouar & Klein, Tony & Walther, Thomas, 2020. "Reviewing the oil price–GDP growth relationship: A replication study," Energy Economics, Elsevier, vol. 88(C).

  6. Peel, D.A., 2017. "Wagering on more than one outcome in an event in Cumulative Prospect Theory and Rank Dependent Utility," Economics Letters, Elsevier, vol. 154(C), pages 45-47.

    Cited by:

    1. Georgalos, Konstantinos & Paya, Ivan & Peel, David A., 2021. "On the contribution of the Markowitz model of utility to explain risky choice in experimental research," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 527-543.
    2. Gustav Axén & Dominic Cortis, 2020. "Hedging on Betting Markets," Risks, MDPI, vol. 8(3), pages 1-14, August.
    3. Gürtler, Marc & Stolpe, Julia, 2017. "Cumulative Prospect Theory for piecewise continuous distributions," Finance Research Letters, Elsevier, vol. 22(C), pages 5-10.

  7. Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2017. "Testing For Speculative Bubbles Using Spot And Forward Prices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(4), pages 1191-1226, November.

    Cited by:

    1. Yang Hu, 2023. "A review of Phillips‐type right‐tailed unit root bubble detection tests," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 141-158, February.
    2. Cathy Yi-Hsuan Chen & Christian M. Hafner, 2019. "Sentiment-Induced Bubbles in the Cryptocurrency Market," JRFM, MDPI, vol. 12(2), pages 1-12, April.
    3. Pavlidis, Efthymios G. & Vasilopoulos, Kostas, 2020. "Speculative bubbles in segmented markets: Evidence from Chinese cross-listed stocks," Journal of International Money and Finance, Elsevier, vol. 109(C).
    4. Ayesha Liaqat & Mian Sajid Nazir & Iftikhar Ahmad, 2019. "Identification of multiple stock bubbles in an emerging market: application of GSADF approach," Economic Change and Restructuring, Springer, vol. 52(3), pages 301-326, August.
    5. Figuerola-Ferretti, Isabel & McCrorie, J. Roderick & Paraskevopoulos, Ioannis, 2020. "Mild explosivity in recent crude oil prices," Energy Economics, Elsevier, vol. 87(C).
    6. Skrobotov Anton, 2023. "Testing for explosive bubbles: a review," Dependence Modeling, De Gruyter, vol. 11(1), pages 1-26, January.
    7. Jun Nagayasu, 2021. "Causal and Frequency Analyses of Purchasing Power Parity," DSSR Discussion Papers 119, Graduate School of Economics and Management, Tohoku University.
    8. Shuping Shi & Peter C. B. Phillips, 2022. "Econometric Analysis of Asset Price Bubbles," Cowles Foundation Discussion Papers 2331, Cowles Foundation for Research in Economics, Yale University.
    9. Basse, Tobias & Klein, Tony & Vigne, Samuel A. & Wegener, Christoph, 2021. "U.S. stock prices and the dot.com-bubble: Can dividend policy rescue the efficient market hypothesis?," Journal of Corporate Finance, Elsevier, vol. 67(C).
    10. Kruse, Robinson & Wegener, Christoph, 2020. "Time-varying persistence in real oil prices and its determinant," Energy Economics, Elsevier, vol. 85(C).
    11. Aktham Maghyereh & Hussein Abdoh, 2022. "Can news-based economic sentiment predict bubbles in precious metal markets?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-29, December.
    12. Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2018. "Using Market Expectations to Test for Speculative Bubbles in the Crude Oil Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(5), pages 833-856, August.
    13. Butt, Muhammad Danial & Ahmed, Mumtaz, 2019. "Testing for Multiple Bubbles in Inflation for Pakistan," MPRA Paper 96847, University Library of Munich, Germany.
    14. Ayesha Liaqat & Mian Sajid Nazir & Iftikhar Ahmad & Hammad Hassan Mirza & Farooq Anwar, 2020. "Do stock price bubbles correlate between China and Pakistan? An inquiry of pre‐ and post‐Chinese investment in Pakistani capital market under China‐Pakistan Economic Corridor regime," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 323-335, July.
    15. Butt, Muhammad Danial & Ahmed, Mumtaz, 2019. "Testing for Multiple Bubbles in Inflation for Pakistan," MPRA Paper 96705, University Library of Munich, Germany.

  8. Efthymios Pavlidis & Alisa Yusupova & Ivan Paya & David Peel & Enrique Martínez-García & Adrienne Mack & Valerie Grossman, 2016. "Episodes of Exuberance in Housing Markets: In Search of the Smoking Gun," The Journal of Real Estate Finance and Economics, Springer, vol. 53(4), pages 419-449, November.
    See citations under working paper version above.
  9. Ñíguez, Trino-Manuel & Paya, Ivan & Peel, David, 2016. "Pure higher-order effects in the portfolio choice model," Finance Research Letters, Elsevier, vol. 19(C), pages 255-260.

    Cited by:

    1. Irina Georgescu & Louis Aim'e Fono, 2019. "A portfolio choice problem in the framework of expected utility operators," Papers 1906.11831, arXiv.org.
    2. Irina Georgescu, 2018. "The Effect of Prudence on the Optimal Allocation in Possibilistic and Mixed Models," Mathematics, MDPI, vol. 6(8), pages 1-19, August.
    3. Irina Georgescu & Jani Kinnunen, 2019. "How the investor's risk preferences influence the optimal allocation in a credibilistic portfolio problem," Papers 1901.08986, arXiv.org.
    4. Irina Georgescu, 2019. "Expected utility operators and coinsurance problem," Papers 1908.06927, arXiv.org.
    5. Colasante, Annarita & García-Segarra, Jaume & Riccetti, Luca & Russo, Alberto, 2022. "On the consistency of the individual behavior when facing higher-order risk attitudes," Finance Research Letters, Elsevier, vol. 50(C).
    6. Carnero, M. Angeles & León, Angel & Ñíguez, Trino-Manuel, 2023. "Skewness in energy returns: estimation, testing and retain-->implications for tail risk," The Quarterly Review of Economics and Finance, Elsevier, vol. 90(C), pages 178-189.

  10. Pavlidis, Efthymios G. & Paya, Ivan & Peel, David A., 2015. "Testing for linear and nonlinear Granger causality in the real exchange rate–consumption relation," Economics Letters, Elsevier, vol. 132(C), pages 13-17.

    Cited by:

    1. Yao, Can-Zhong & Lin, Qing-Wen, 2017. "Recurrence plots analysis of the CNY exchange markets based on phase space reconstruction," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 584-596.
    2. Daiki Maki & Yasushi Ota, 2019. "Robust tests for ARCH in the presence of the misspecified conditional mean: A comparison of nonparametric approches," Papers 1907.12752, arXiv.org, revised Sep 2019.
    3. Okwu, Andy & Akpa, Emeka & Oseni, Isiaq & Obiakor, Rowland, 2020. "Oil Export Revenue and Exchange Rate: An Investigation of Asymmetric Effects on Households’ Consumption Expenditure in Nigeria," MPRA Paper 102080, University Library of Munich, Germany.
    4. Emmanuel Uche & Bisharat Hussain Chang & Lionel Effiom, 2023. "Household consumption and exchange rate extreme dynamics: Multiple asymmetric threshold non‐linear autoregressive distributed lag model perspective," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 3437-3450, July.

  11. Peel, D.A., 2013. "Heterogeneous agents and the implications of the Markowitz model of utility for multi-prize lottery tickets," Economics Letters, Elsevier, vol. 119(3), pages 264-267.

    Cited by:

    1. Konstantinos Georgalos & Ivan Paya & David Peel, 2023. "Higher order risk attitudes: new model insights and heterogeneity of preferences," Experimental Economics, Springer;Economic Science Association, vol. 26(1), pages 145-192, March.
    2. Charles-Cadogan, G., 2016. "Expected utility theory and inner and outer measures of loss aversion," Journal of Mathematical Economics, Elsevier, vol. 63(C), pages 10-20.
    3. Georgalos, Konstantinos & Paya, Ivan & Peel, David A., 2021. "On the contribution of the Markowitz model of utility to explain risky choice in experimental research," Journal of Economic Behavior & Organization, Elsevier, vol. 182(C), pages 527-543.

  12. Babatunde Buraimo & David Peel & Rob Simmons, 2013. "Systematic Positive Expected Returns in the UK Fixed Odds Betting Market: An Analysis of the Fink Tank Predictions," IJFS, MDPI, vol. 1(4), pages 1-15, December.

    Cited by:

    1. J Reade & C Singleton & L Vaughan Williams, 2020. "Betting Markets for English Premier League Results and Scorelines: Evaluating a Simple Forecasting Model," Economic Issues Journal Articles, Economic Issues, vol. 25(1), pages 87-106, March.
    2. J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers em-dp2019-18, Department of Economics, University of Reading, revised 01 Aug 2020.
    3. Dimic, Nebojsa & Neudl, Manfred & Orlov, Vitaly & Äijö, Janne, 2018. "Investor sentiment, soccer games and stock returns," Research in International Business and Finance, Elsevier, vol. 43(C), pages 90-98.

  13. Pavlidis Efthymios G. & Paya Ivan & Peel David A., 2013. "Nonlinear causality tests and multivariate conditional heteroskedasticity: a simulation study," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(3), pages 297-312, May.

    Cited by:

    1. Pavlidis, Efthymios G. & Paya, Ivan & Peel, David A., 2015. "Testing for linear and nonlinear Granger causality in the real exchange rate–consumption relation," Economics Letters, Elsevier, vol. 132(C), pages 13-17.
    2. Daiki Maki & Yasushi Ota, 2021. "Testing for Time-Varying Properties Under Misspecified Conditional Mean and Variance," Computational Economics, Springer;Society for Computational Economics, vol. 57(4), pages 1167-1182, April.
    3. Daiki Maki & Yasushi Ota, 2019. "Testing for time-varying properties under misspecified conditional mean and variance," Papers 1907.12107, arXiv.org, revised Aug 2019.
    4. González, Mariano, 2016. "Asymmetric causality in-mean and in-variance among equity markets indexes," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 49-68.
    5. Daiki Maki & Yasushi Ota, 2019. "Robust tests for ARCH in the presence of the misspecified conditional mean: A comparison of nonparametric approches," Papers 1907.12752, arXiv.org, revised Sep 2019.
    6. G. Bampinas & T. Panagiotidis, 2015. "On the relationship between oil and gold before and after financial crisis: Linear, nonlinear and time-varying causality testing," Working Paper series 15-04, Rimini Centre for Economic Analysis.

  14. D. A. Peel, 2012. "Further examples of the impact of skewness on the expected utility of a risk-averse agent," Applied Economics Letters, Taylor & Francis Journals, vol. 19(12), pages 1117-1121, August.

    Cited by:

    1. Chiu, Leslie J. Verteramo, 2013. "Risk Rationing and Jump Utility," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150589, Agricultural and Applied Economics Association.
    2. Wang, Chou-Wen & Liu, Kai & Li, Bin & Tan, Ken Seng, 2022. "Portfolio optimization under multivariate affine generalized hyperbolic distributions," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 49-66.
    3. Chiu, Leslie J. Verteramo & Turvey, Calum G., 2013. "A Risk Rationing Model," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150628, Agricultural and Applied Economics Association.

  15. Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2012. "Forecast Evaluation of Nonlinear Models: The Case of Long‐Span Real Exchange Rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(7), pages 580-595, November.

    Cited by:

    1. Bucci, Andrea, 2019. "Realized Volatility Forecasting with Neural Networks," MPRA Paper 95443, University Library of Munich, Germany.
    2. Michael Frömmel & Darko B. Vukovic & Jinyuan Wu, 2022. "The Dollar Exchange Rate, Adjustment to the Purchasing Power Parity, and the Interest Rate Differential," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    3. Wang, Rudan & Morley, Bruce & Stamatogiannis, Michalis P., 2019. "Forecasting the exchange rate using nonlinear Taylor rule based models," International Journal of Forecasting, Elsevier, vol. 35(2), pages 429-442.
    4. Ca' Zorzi, Michele & Rubaszek, Michał & Muck, Jakub, 2013. "Real exchange rate forecasting: a calibrated half-life PPP model can beat the random walk," Working Paper Series 1576, European Central Bank.
    5. Tasadduq Imam, 2021. "Model selection for one‐day‐ahead AUD/USD, AUD/EUR forecasts," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1808-1824, April.

  16. Jahyun Koo & Ivan Paya & David A. Peel, 2012. "The Bank of Korea's nonlinear monetary policy rule," Applied Economics Letters, Taylor & Francis Journals, vol. 19(12), pages 1193-1202, August.

    Cited by:

    1. Hyeongwoo Kim, 2014. "Estimating Interest Rate Setting Behavior in Korea: An Ordered Probit Model Approach," Auburn Economics Working Paper Series auwp2014-02, Department of Economics, Auburn University.

  17. Mark A. Clatworthy & David A. Peel & Peter F. Pope, 2012. "Are Analysts' Loss Functions Asymmetric?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 31(8), pages 736-756, December.
    See citations under working paper version above.
  18. Ñíguez, Trino-Manuel & Paya, Ivan & Peel, David & Perote, Javier, 2012. "On the stability of the constant relative risk aversion (CRRA) utility under high degrees of uncertainty," Economics Letters, Elsevier, vol. 115(2), pages 244-248.

    Cited by:

    1. Lina Cortés & Juan M. Lozada & Javier Perote, 2019. "Firm size and concentration inequality: A flexible extension of Gibrat’s law," Documentos de Trabajo de Valor Público 17205, Universidad EAFIT.
    2. Lina Cortés & Andrés Mora-Valencia & Javier Perote, 2017. "Measuring firm size distribution with semi-nonparametric densities," Documentos de Trabajo de Valor Público 15300, Universidad EAFIT.
    3. Lina M Cortés & Juan M Lozada & Javier Perote, 2021. "Firm size and economic concentration: An analysis from a lognormal expansion," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-21, July.
    4. Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2020. "Retrieving the implicit risk neutral density of WTI options with a semi-nonparametric approach," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    5. Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2022. "Semi-nonparametric risk assessment with cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 59(C).
    6. Lina M. Cortés & Andrés Mora-Valencia & Javier Perote, 2016. "The productivity of top researchers: a semi-nonparametric approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 891-915, November.
    7. Andrés Mora-Valencia & Trino-Manuel Ñíguez & Javier Perote, 2017. "Multivariate approximations to portfolio return distribution," Computational and Mathematical Organization Theory, Springer, vol. 23(3), pages 347-361, September.
    8. M. Mercè Claramunt & Maite Mármol & Xavier Varea, 2023. "Facing a Risk: To Insure or Not to Insure—An Analysis with the Constant Relative Risk Aversion Utility Function," Mathematics, MDPI, vol. 11(5), pages 1-13, February.
    9. Trino-Manuel Niguez & Ivan Paya & David Peel & Javier Perote, 2013. "Higher-order moments in the theory of diversification and portfolio composition," Working Papers 18297128, Lancaster University Management School, Economics Department.
    10. Lina M. Cortés & Javier Perote & Andrés Mora-Valencia, 2017. "Implicit probability distribution for WTI options: The Black Scholes vs. the semi-nonparametric approach," Documentos de Trabajo de Valor Público 15923, Universidad EAFIT.

  19. Jahyun Koo & Ivan Paya & David A. Peel, 2012. "The Decisions Of The Shadow Monetary Policy Committee And Monetary Policy Committee Since 2002," Economic Affairs, Wiley Blackwell, vol. 32(2), pages 91-93, June.

    Cited by:

    1. Neuenkirch, Matthias & Siklos, Pierre L., 2013. "What's in a second opinion? Shadowing the ECB and the Bank of England," European Journal of Political Economy, Elsevier, vol. 32(C), pages 135-148.

  20. Pavlidis, Efthymios G. & Paya, Ivan & Peel, David A., 2011. "Real exchange rates and time-varying trade costs," Journal of International Money and Finance, Elsevier, vol. 30(6), pages 1157-1179, October.
    See citations under working paper version above.
  21. Monticini, Andrea & Peel, David & Vaciago, Giacomo, 2011. "The impact of ECB and FED announcements on the Euro interest rates," Economics Letters, Elsevier, vol. 113(2), pages 139-142.
    See citations under working paper version above.
  22. Paya, Ivan & Peel, David A. & Spiru, Alina, 2010. "The forward premium puzzle in the interwar period and deviations from covered interest parity," Economics Letters, Elsevier, vol. 108(1), pages 55-57, July.

    Cited by:

    1. Cho, Dooyeon, 2015. "The role of covered interest parity in explaining the forward premium anomaly within a nonlinear panel framework," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 229-238.
    2. Dominique Torre, 2012. "The monetary views of Paul Einzig," Post-Print halshs-00726126, HAL.
    3. Pippenger, John, 2018. "Forward Bias, Uncovered Interest Parity And Related Puzzles," University of California at Santa Barbara, Economics Working Paper Series qt1778z416, Department of Economics, UC Santa Barbara.
    4. Pippenger, John, 2013. "The Failure Of Uncovered Interest Parity, Forward Bias And Related Puzzles," University of California at Santa Barbara, Economics Working Paper Series qt50n5p8bv, Department of Economics, UC Santa Barbara.
    5. Pippenger, John, 2018. "Forward Bias, Uncovered Interest Parity and Related Puzzles," University of California at Santa Barbara, Economics Working Paper Series qt2cm6p186, Department of Economics, UC Santa Barbara.
    6. Pippenger, John, 2012. "What Covered Interest Parity Implies about the Theory of Uncovered Interest Parity," University of California at Santa Barbara, Economics Working Paper Series qt0zk6t2hj, Department of Economics, UC Santa Barbara.
    7. Pippenger, John, 2017. "Forward Bias, The Failure Of Uncovered Interest Parity And Related Puzzles," University of California at Santa Barbara, Economics Working Paper Series qt2ff194s2, Department of Economics, UC Santa Barbara.

  23. Pavlidis Efthymios G & Paya Ivan & Peel David A, 2010. "Specifying Smooth Transition Regression Models in the Presence of Conditional Heteroskedasticity of Unknown Form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-40, May.
    See citations under working paper version above.
  24. Bob Nobay & Ivan Paya & David A. Peel, 2010. "Inflation Dynamics in the U.S.: Global but Not Local Mean Reversion," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(1), pages 135-150, February.

    Cited by:

    1. Tillmann, Peter & Wolters, Maik Hendrik, 2012. "The changing dynamics of US inflation persistence: A quantile regression approach," IMFS Working Paper Series 60, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    2. Ahmad Jafari Samimi & Saeed Karimi Petanlar & Jalal Montazeri Shoorekchali, 2017. "Testing Fiscal Reaction Function in Iran:AnApplication of Nonlinear Dickey-Fuller (NDF) Test," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 21(3), pages 567-581, Summer.
    3. Noriega Antonio E. & Ramos Francia Manuel, 2009. "On the dynamics of inflation persistence around the world," Working Papers 2009-02, Banco de México.
    4. Yingying XU & Zhixin LIU & Jaime ORTIZ, 2018. "Actual and Expected Inflation in the U.S.: A Time-Frequency View," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 42-62, December.
    5. Till Strohsal & Lars Winkelmann, 2012. "Assessing the Anchoring of Inflation Expectations," SFB 649 Discussion Papers SFB649DP2012-022, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    6. Zhang, Lingxiang, 2013. "Modeling China's inflation dynamics: An MRSTAR approach," Economic Modelling, Elsevier, vol. 31(C), pages 440-446.
    7. Georgios P. Kouretas & Mark E. Wohar, 2012. "The dynamics of inflation: a study of a large number of countries," Applied Economics, Taylor & Francis Journals, vol. 44(16), pages 2001-2026, June.
    8. Yamin Ahmad & Olena Mykhaylova, 2015. "Exploring International Differences in Inflation Dynamics," Working Papers 15-01, UW-Whitewater, Department of Economics, revised Mar 2017.
    9. Luis A. Gil-Alana & Andrea Mervar & James E. Payne, 2017. "The stationarity of inflation in Croatia: anti-inflation stabilization program and the change in persistence," Economic Change and Restructuring, Springer, vol. 50(1), pages 45-58, February.
    10. Strohsal, Till & Winkelmann, Lars, 2015. "Assessing the anchoring of inflation expectations," Journal of International Money and Finance, Elsevier, vol. 50(C), pages 33-48.
    11. Hans KREMERS & Andreas LOESCHEL, 2010. "The Strategic Implications of Setting Border Tax Adjustments," EcoMod2010 259600097, EcoMod.
    12. Markku Lanne, 2013. "Noncausality and Inflation Persistence," Discussion Papers of DIW Berlin 1286, DIW Berlin, German Institute for Economic Research.
    13. Ruthira Naraidoo & Leroi Raputsoane, 2013. "Financial markets and the response of monetary policy to uncertainty in South Africa," Working Papers 201310, University of Pretoria, Department of Economics.
    14. Bopjun Gwak, 2020. "Long-term Inflation Expectations and Central Bank Credibility," Economics Bulletin, AccessEcon, vol. 40(3), pages 2320-2335.
    15. Ahmad Jameel Khadaroo, 2016. "Current Account Deficit in Mauritius: Risks and Prospects," South African Journal of Economics, Economic Society of South Africa, vol. 84(1), pages 109-128, March.

  25. Peel, D.A., 2010. "On lottery sales, jackpot sizes and irrationality: A cautionary note," Economics Letters, Elsevier, vol. 109(3), pages 161-163, December.

    Cited by:

    1. Gabrielyan, Gnel & Just, David R., 2017. "Economic Factors Affecting Lottery Sales: An Examination of Maine State Lottery Sales," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258419, Agricultural and Applied Economics Association.
    2. Lena C. Quilty & Daniela S. S. Lobo & Martin Zack & Courtney Crewe-Brown & Alexander Blaszczynski, 2016. "Hitting the jackpot: the influence of monetary payout on gambling behaviour," International Gambling Studies, Taylor & Francis Journals, vol. 16(3), pages 481-499, September.
    3. Kent Grote & Victor Matheson, 2011. "The Economics of Lotteries: An Annotated Bibliography," Working Papers 1110, College of the Holy Cross, Department of Economics.

  26. Jahyun Koo & Ivan Paya & David A. Peel, 2010. "Further empirical evidence of nonlinearity in the us monetary policy rule," Economics Bulletin, AccessEcon, vol. 30(3), pages 2464-2477.

    Cited by:

    1. Xiaoyu Zhang & Fanghui Pan, 2019. "The Dependence of China’s Monetary Policy Rules on Interest Rate Regimes: Empirical Analysis Based on a Pseudo Output Gap," Sustainability, MDPI, vol. 11(9), pages 1-15, May.
    2. Yingying XU & Zhixin LIU & Jaime ORTIZ, 2018. "Actual and Expected Inflation in the U.S.: A Time-Frequency View," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 42-62, December.

  27. McHale, I.G. & Peel, D.A., 2010. "Habit and long memory in UK lottery sales," Economics Letters, Elsevier, vol. 109(1), pages 7-10, October.

    Cited by:

    1. Kent Grote & Victor Matheson, 2011. "The Economics of Lotteries: An Annotated Bibliography," Working Papers 1110, College of the Holy Cross, Department of Economics.

  28. Kevin Aretz & David A. Peel, 2010. "Spreads versus professional forecasters as predictors of future output change," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(6), pages 517-522.

    Cited by:

    1. Evgenidis, Anastasios & Papadamou, Stephanos & Siriopoulos, Costas, 2020. "The yield spread's ability to forecast economic activity: What have we learned after 30 years of studies?," Journal of Business Research, Elsevier, vol. 106(C), pages 221-232.
    2. Chrystalleni Aristidou & Kevin Lee & Kalvinder Shields, 2015. "Real-Time Data should be used in Forecasting Output Growth and Recessionary Events in the US," Discussion Papers 2015/13, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    3. Gebka, Bartosz & Wohar, Mark E., 2018. "The predictive power of the yield spread for future economic expansions: Evidence from a new approach," Economic Modelling, Elsevier, vol. 75(C), pages 181-195.
    4. David C. Wheelock & Mark E. Wohar, 2009. "Can the term spread predict output growth and recessions? a survey of the literature," Review, Federal Reserve Bank of St. Louis, vol. 91(Sep), pages 419-440.

  29. David Peel & David Law, 2009. "A More General Non‐expected Utility Model as an Explanation of Gambling Outcomes for Individuals and Markets," Economica, London School of Economics and Political Science, vol. 76(302), pages 251-263, April.

    Cited by:

    1. Jaiho Chung & Joon Ho Hwang, 2010. "An Empirical Examination of the Parimutuel Sports Lottery Market versus the Bookmaker Market," Southern Economic Journal, John Wiley & Sons, vol. 76(4), pages 884-905, April.
    2. Jeremy Sandford & Paul Shea, 2013. "Optimal Setting of Point Spreads," Economica, London School of Economics and Political Science, vol. 80(317), pages 149-170, January.
    3. Valeria De Bonis & Alessandro Gandolfo, 2015. "Predictors of gambling among university students: the role of gender, sociality and attitudes towards risk," Public Finance Research Papers 11, Istituto di Economia e Finanza, DSGE, Sapienza University of Rome.
    4. Bruce, A.C. & Johnson, J.E.V. & Peirson, J., 2012. "Recreational versus professional bettors: Performance differences and efficiency implications," Economics Letters, Elsevier, vol. 114(2), pages 172-174.
    5. David Alan Peel, 2013. "On the Implications of the Markowitz Model of Utility embodying Gain Seeking Preferences for Odds on Betting and Bookmakers choice of Spread or Odds Betting," Economics Bulletin, AccessEcon, vol. 33(2), pages 1420-1428.
    6. Philip W. S. Newall & Dominic Cortis, 2021. "Are Sports Bettors Biased toward Longshots, Favorites, or Both? A Literature Review," Risks, MDPI, vol. 9(1), pages 1-9, January.
    7. Alistair Bruce & David Marginson, 2014. "Power, Not Fear: A Collusion-Based Account of Betting Market Inefficiency," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 21(1), pages 77-97, February.
    8. Linda M. Woodland & Bill M. Woodland, 2011. "The Reverse Favorite-Longshot Bias in the National Hockey League: Do Bettors Still Score on Longshots?," Journal of Sports Economics, , vol. 12(1), pages 106-117, February.

  30. D. Law & D. A. Peel, 2009. "Skewness as an explanation of gambling in cumulative prospect theory," Applied Economics, Taylor & Francis Journals, vol. 41(6), pages 685-689.

    Cited by:

    1. Mao-Wei Hung & Jr-Yan Wang, 2011. "Loss aversion and the term structure of interest rates," Applied Economics, Taylor & Francis Journals, vol. 43(29), pages 4623-4640.
    2. Feess, Eberhard & Müller, Helge & Schumacher, Christoph, 2016. "Estimating risk preferences of bettors with different bet sizes," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1102-1112.
    3. David A. Peel & Davind Law, 2009. "An Explanation of Optimal Each-Way Bets based on Non-Expected Utility Theory," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 3(2), pages 15-35, September.

  31. David Peel & David Law, 2009. "On skewness of return and buying more than one ticket in a lottery," Applied Economics Letters, Taylor & Francis Journals, vol. 16(10), pages 1029-1032.

    Cited by:

    1. Kent Grote & Victor Matheson, 2011. "The Economics of Lotteries: An Annotated Bibliography," Working Papers 1110, College of the Holy Cross, Department of Economics.

  32. Peel, D.A. & Zhang, Jie, 2009. "The expo-power value function as a candidate for the work-horse specification in parametric versions of cumulative prospect theory," Economics Letters, Elsevier, vol. 105(3), pages 326-329, December.

    Cited by:

    1. Mohammed Abdellaoui & Enrico Diecidue & Emmanuel Kemel & Ayse Onculer, 2021. "Temporal Risk Resolution: Utility versus Probability Weighting Approaches," Working Papers hal-03330225, HAL.
    2. Mohammed Abdellaoui & Enrico Diecidue & Emmanuel Kemel & Ayse Onculer, 2022. "Temporal Risk: Utility vs. Probability Weighting," Management Science, INFORMS, vol. 68(7), pages 5162-5186, July.

  33. D. A. Peel, 2008. "Introduction: economics of betting markets," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 1-3.

    Cited by:

    1. Richard Thalheimer, 2012. "The demand for slot machine and pari-mutuel horse race wagering at a racetrack-casino," Applied Economics, Taylor & Francis Journals, vol. 44(9), pages 1177-1191, March.

  34. Michael Cain & David Law & David Peel, 2008. "Bounded cumulative prospect theory: some implications for gambling outcomes," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 5-15.

    Cited by:

    1. David Peel & David Law, 2009. "A More General Non‐expected Utility Model as an Explanation of Gambling Outcomes for Individuals and Markets," Economica, London School of Economics and Political Science, vol. 76(302), pages 251-263, April.
    2. Mao-Wei Hung & Jr-Yan Wang, 2011. "Loss aversion and the term structure of interest rates," Applied Economics, Taylor & Francis Journals, vol. 43(29), pages 4623-4640.
    3. David Alan Peel & David Law, 2017. "Loss Aversion And Ruinous Optimal Wagers In Cumulative Prospect Theory," Economics Bulletin, AccessEcon, vol. 37(1), pages 352-360.
    4. Peel, D.A. & Zhang, Jie, 2009. "The expo-power value function as a candidate for the work-horse specification in parametric versions of cumulative prospect theory," Economics Letters, Elsevier, vol. 105(3), pages 326-329, December.
    5. David A. Peel & Davind Law, 2009. "An Explanation of Optimal Each-Way Bets based on Non-Expected Utility Theory," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 3(2), pages 15-35, September.

  35. David A. Peel & David Law, 2008. "Further Analysis of the Markowitz Model of Utility with a Small Degree of Probability Distortion," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 2(3), pages 71-83, December.

    Cited by:

    1. Peel, D.A., 2013. "Heterogeneous agents and the implications of the Markowitz model of utility for multi-prize lottery tickets," Economics Letters, Elsevier, vol. 119(3), pages 264-267.
    2. David Alan Peel & David Law, 2016. "Loss Aversion and Ruinous Optimal Wagering in the Markowitz Model of Non-Expected Utility," Economics Bulletin, AccessEcon, vol. 36(2), pages 688-695.

  36. D. A. Peel & Jie Zhang & D. Law, 2008. "The Markowitz model of utility supplemented with a small degree of probability distortion as an explanation of outcomes of Allais experiments over large and small payoffs and gambling on unlikely outc," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 17-26.

    Cited by:

    1. Niko Suhonen & Jani Saastamoinen & Mika Linden, 2018. "A dual theory approach to estimating risk preferences in the parimutuel betting market," Empirical Economics, Springer, vol. 54(3), pages 1335-1351, May.

  37. David Peel & David Law, 2007. "Betting on odds on Favorites as an Optimal Choice in Cumulative Prospect Theory," Economics Bulletin, AccessEcon, vol. 4(26), pages 1-10.

    Cited by:

    1. Michael Cain & David Law & David Peel, 2008. "Bounded cumulative prospect theory: some implications for gambling outcomes," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 5-15.
    2. David Alan Peel & David Law, 2017. "Loss Aversion And Ruinous Optimal Wagers In Cumulative Prospect Theory," Economics Bulletin, AccessEcon, vol. 37(1), pages 352-360.

  38. Meenagh, David & Minford, Patrick & Peel, David, 2007. "Simulating stock returns under switching regimes - A new test of market efficiency," Economics Letters, Elsevier, vol. 94(2), pages 235-239, February.
    See citations under working paper version above.
  39. Clatworthy, Mark A. & Peel, David A. & Pope, Peter F., 2007. "Evaluating the properties of analysts’ forecasts: A bootstrap approach," The British Accounting Review, Elsevier, vol. 39(1), pages 3-13.

    Cited by:

    1. Shu, Yan & Broadstock, David C. & Xu, Bing, 2013. "The heterogeneous impact of macroeconomic information on firms' earnings forecasts," The British Accounting Review, Elsevier, vol. 45(4), pages 311-325.
    2. Clatworthy, Mark A. & Peel, Michael J., 2016. "The timeliness of UK private company financial reporting: Regulatory and economic influences," The British Accounting Review, Elsevier, vol. 48(3), pages 297-315.
    3. Brown, Rhoda & Jones, Michael, 2015. "Mapping and exploring the topography of contemporary financial accounting research," The British Accounting Review, Elsevier, vol. 47(3), pages 237-261.

  40. Venetis, Ioannis A. & Paya, Ivan & Peel, David A., 2007. "Deterministic impulse response in a nonlinear model. An analytical expression," Economics Letters, Elsevier, vol. 95(3), pages 315-319, June.

    Cited by:

    1. Maican, Florin G. & Sweeney, Richard J., 2013. "Real exchange rate adjustment in European transition countries," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 907-926.
    2. Efthymios Pavlidis & Ivan Paya & David Peel, 2010. "Further empirical evidence on the consumption-real exchange rate anomaly," Working Papers 447022, Lancaster University Management School, Economics Department.

  41. David Byers & James Davidson & David Peel, 2007. "The long memory model of political support: some further results," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2547-2552.
    See citations under working paper version above.
  42. John Byers & David Peel & Dennis Thomas, 2007. "Habit, aggregation and long memory: evidence from television audience data," Applied Economics, Taylor & Francis Journals, vol. 39(3), pages 321-327.
    See citations under working paper version above.
  43. D. Law & D. A. Peel, 2007. "Gambling and nonexpected utility: the perils of the power function," Applied Economics Letters, Taylor & Francis Journals, vol. 14(2), pages 79-82.

    Cited by:

    1. Feess, Eberhard & Müller, Helge & Schumacher, Christoph, 2016. "Estimating risk preferences of bettors with different bet sizes," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1102-1112.

  44. Patrick Minford & David Peel, 2007. "On the Equality of Real Interest Rates Across Borders in Integrated Capital Markets," Open Economies Review, Springer, vol. 18(1), pages 119-125, February.
    See citations under working paper version above.
  45. Davidson, James & Monticini, Andrea & Peel, David, 2007. "Implementing the wild bootstrap using a two-point distribution," Economics Letters, Elsevier, vol. 96(3), pages 309-315, September.

    Cited by:

    1. James G. MacKinnon, 2014. "Wild Cluster Bootstrap Confidence Intervals," Working Paper 1329, Economics Department, Queen's University.
    2. Angelo Baglioni & Andrea Monticini, 2010. "Why does the Interest Rate Decline Over the Day? Evidence from the Liquidity Crisis," DEP - series of economic working papers 4/2010, University of Genoa, Research Doctorate in Public Economics.
    3. David Roodman & James G. MacKinnon & Matthew D. Webb & Morten Ø. Nielsen, 2018. "Fast And Wild: Bootstrap Inference In Stata Using Boottest," Working Paper 1406, Economics Department, Queen's University.
    4. Lins, Isis Didier & Droguett, Enrique López & Moura, Márcio das Chagas & Zio, Enrico & Jacinto, Carlos Magno, 2015. "Computing confidence and prediction intervals of industrial equipment degradation by bootstrapped support vector regression," Reliability Engineering and System Safety, Elsevier, vol. 137(C), pages 120-128.
    5. Amélie Charles & Olivier Darné, 2009. "Variance‐Ratio Tests Of Random Walk: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 23(3), pages 503-527, July.
    6. Su, Jen-Je & Cheung, Adrian (Wai-Kong) & Roca, Eduardo, 2012. "Are securitised real estate markets efficient?," Economic Modelling, Elsevier, vol. 29(3), pages 684-690.
    7. Andrea Monticini & David Peel, 2009. "Testing for central bank independence and inflation using the wild bootstrap," Economics Bulletin, AccessEcon, vol. 29(3), pages 1602-1607.
    8. Alan Gregory & Cherif Guermat & Fawaz Al‐Shawawreh, 2010. "UK IPOs: Long Run Returns, Behavioural Timing and Pseudo Timing," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5‐6), pages 612-647, June.
    9. Liddle, Brantley & Smyth, Russell & Zhang, Xibin, 2020. "Time-varying income and price elasticities for energy demand: Evidence from a middle-income panel," Energy Economics, Elsevier, vol. 86(C).
    10. Niklas Ahlgren & Paul Catani, 2017. "Wild bootstrap tests for autocorrelation in vector autoregressive models," Statistical Papers, Springer, vol. 58(4), pages 1189-1216, December.
    11. Eduardo Fé-Rodríguez & Chris D. Orme, 2009. "On the Sensitivity of Kernel-based Tests of Conditional Moment Restrictions," Economics Discussion Paper Series 0912, Economics, The University of Manchester.
    12. Vendrame, Vasco & Guermat, Cherif & Tucker, Jon, 2018. "A conditional regime switching CAPM," International Review of Financial Analysis, Elsevier, vol. 56(C), pages 1-11.
    13. Matthew D. Webb, 2014. "Reworking Wild Bootstrap Based Inference For Clustered Errors," Working Paper 1315, Economics Department, Queen's University.
    14. Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019. "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers 2019-05, Department of Economics and Business Economics, Aarhus University.
    15. Bryan D. MacGregor & Rainer Schulz & Yuan Zhao, 2021. "Performance and Market Maturity in Mutual Funds: Is Real Estate Different?," The Journal of Real Estate Finance and Economics, Springer, vol. 63(3), pages 437-492, October.
    16. Hagemann, Andreas, 2012. "A simple test for regression specification with non-nested alternatives," Journal of Econometrics, Elsevier, vol. 166(2), pages 247-254.
    17. Bordignon, Massimo & Monticini, Andrea, 2012. "The importance of the electoral rule: Evidence from Italy," Economics Letters, Elsevier, vol. 117(1), pages 322-325.
    18. Enrique L Droguett & Isis D Lins & Márcio C Moura & Enrico Zio & Carlos M Jacinto, 2015. "Variable selection and uncertainty analysis of scale growth rate under pre-salt oil wells conditions using support vector regression," Journal of Risk and Reliability, , vol. 229(4), pages 319-326, August.

  46. Paya, Ivan & Peel, David A., 2006. "On the speed of adjustment in ESTAR models when allowance is made for bias in estimation," Economics Letters, Elsevier, vol. 90(2), pages 272-277, February.

    Cited by:

    1. Nicolau, João, 2011. "Purchasing Power Parity analyzed through a continuous-time version of the ESTAR model," Economics Letters, Elsevier, vol. 110(3), pages 182-185, March.
    2. Bernd Schnatz, 2007. "Is reversion to PPP in euro exchange rates non-linear?," International Economics and Economic Policy, Springer, vol. 4(3), pages 281-297, November.
    3. Beckmann, Joscha, 2011. "Nonlinear Adjustment, Purchasing Power Parity and the Role of Nominal Exchange Rates and Prices," Ruhr Economic Papers 272, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    4. Davidson, James & Monticini, Andrea & Peel, David, 2007. "Implementing the wild bootstrap using a two-point distribution," Economics Letters, Elsevier, vol. 96(3), pages 309-315, September.
    5. Norman, Stephen, 2010. "How well does nonlinear mean reversion solve the PPP puzzle?," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 919-937, September.
    6. Yoon, Gawon, 2010. "Do real exchange rates really follow threshold autoregressive or exponential smooth transition autoregressive models?," Economic Modelling, Elsevier, vol. 27(2), pages 605-612, March.
    7. Gawon Yoon, 2010. "Nonlinear mean-reversion to purchasing power parity: exponential smooth transition autoregressive models and stochastic unit root processes," Applied Economics, Taylor & Francis Journals, vol. 42(4), pages 489-496.
    8. Copeland, Laurence & Heravi, Saeed, 2006. "Structural Breaks in the Real Exchange Rate Adjustment Mechanism," Cardiff Economics Working Papers E2006/21, Cardiff University, Cardiff Business School, Economics Section.

  47. Christodoulakis, George & Peel, David, 2006. "The relationship between expected utility and higher moments for distributions captured by the Gram-Charlier class," Finance Research Letters, Elsevier, vol. 3(4), pages 273-276, December.

    Cited by:

    1. Jacobi, Arie & Tzur, Joseph, 2021. "Wealth Distribution across Countries: Quality of Weibull, Dagum and Burr XII in Estimating Wealth over Time," Finance Research Letters, Elsevier, vol. 43(C).
    2. Emmanuel Jurczenko & Bertrand Maillet & Paul Merlin, 2008. "Efficient Frontier for Robust Higher-order Moment Portfolio Selection," Post-Print halshs-00336475, HAL.

  48. David A. Peel & Ivan Paya, 2006. "Temporal aggregation of an ESTAR process: some implications for purchasing power parity adjustment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 655-668.
    See citations under working paper version above.
  49. Ioannidis, C. & Peel, D.A. & Matthews, K.P.G., 2006. "Expected stock returns, aggregate consumption and wealth: Some further empirical evidence," Journal of Macroeconomics, Elsevier, vol. 28(2), pages 439-445, June.

    Cited by:

    1. Pandey, Dharen Kumar & Lucey, Brian M. & Kumar, Satish, 2023. "Border disputes, conflicts, war, and financial markets research: A systematic review," Research in International Business and Finance, Elsevier, vol. 65(C).
    2. Castro, Andressa Monteiro de & Issler, João Victor, 2016. "Consumption-Wealth Ratio and Expected Stock Returns: Evidence from Panel Data on G7 Countries," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 70(4), December.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Mauro Costantini & Ricardo M. Sousa, 2020. "Consumption, asset wealth, equity premium, term spread, and flight to quality," European Financial Management, European Financial Management Association, vol. 26(3), pages 778-807, June.

  50. Davidson James E. H. & Peel David A & Byers J. David, 2006. "Support for Governments and Leaders: Fractional Cointegration Analysis of Poll Evidence from the UK, 1960-2004," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(1), pages 1-23, March.

    Cited by:

    1. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michael Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," CREATES Research Papers 2014-23, Department of Economics and Business Economics, Aarhus University.
    2. Haldrup, Niels & Nielsen, Frank S. & Nielsen, Morten Ørregaard, 2010. "A vector autoregressive model for electricity prices subject to long memory and regime switching," Energy Economics, Elsevier, vol. 32(5), pages 1044-1058, September.
    3. Xenia Frei & Sebastian Langer & Robert Lehmann & Felix Roesel, 2020. "Electoral Externalities in Federations – Evidence from German Opinion Polls," Kyklos, Wiley Blackwell, vol. 73(2), pages 227-252, May.
    4. Boubaker, Heni & Zorgati, Mouna Ben Saad & Bannour, Nawres, 2021. "Interdependence between exchange rates: Evidence from multivariate analysis since the financial crisis to the COVID-19 crisis," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 592-608.
    5. Gebhard Kirchgässner, 2016. "Voting and Popularity," CESifo Working Paper Series 6182, CESifo.
    6. Shimotsu, Katsumi & 下津, 克己, 2010. "Exact Local Whittle Estimation of Fractionally Cointegrated Systems," Discussion Papers 2010-11, Graduate School of Economics, Hitotsubashi University.
    7. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    8. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    9. Marques, G.O.L.C., 2011. "Empirical aspects of the Whittle-based maximum likelihood method in jointly estimating seasonal and non-seasonal fractional integration parameters," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(1), pages 8-17.

  51. Paya, Ivan & Matthews, Kent & Peel, David, 2005. "The term spread and real economic activity in the US inter-war period," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 331-343, June.

    Cited by:

    1. Leo Krippner, 2005. "A New Framework for Yield Curve, Output and Inflation Relationships," Working Papers in Economics 05/07, University of Waikato.
    2. Leo Krippner, 2008. "A Macroeconomic Foundation for the Nelson and Siegel Class of Yield Curve Models," Research Paper Series 226, Quantitative Finance Research Centre, University of Technology, Sydney.

  52. Ivan Paya & David Peel, 2005. "The process followed by PPP data. On the properties of linearity tests," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2515-2522.
    See citations under working paper version above.
  53. Ioannidis, C. & Peel, D.A., 2005. "Testing for market efficiency in gambling markets when the errors are non-normal and heteroskedastic an application of the wild bootstrap," Economics Letters, Elsevier, vol. 87(2), pages 221-226, May.

    Cited by:

    1. Martín, Juan Carlos & Román, Concepción & García-Palomares, Juan Carlos & Gutiérrez, Javier, 2014. "Spatial analysis of the competitiveness of the high-speed train and air transport: The role of access to terminals in the Madrid–Barcelona corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 392-408.
    2. Luca De Angelis & J. James Reade, 2022. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Economics Discussion Papers em-dp2022-01, Department of Economics, University of Reading.
    3. Angelini, Giovanni & De Angelis, Luca, 2019. "Efficiency of online football betting markets," International Journal of Forecasting, Elsevier, vol. 35(2), pages 712-721.
    4. Giovanni Angelini & Luca De Angelis & Carl Singleton, 2019. "Informational efficiency and behaviour within in-play prediction markets," Economics Discussion Papers em-dp2019-20, Department of Economics, University of Reading, revised 01 Apr 2021.
    5. Guglielmo Maria Caporale & Andros Gregoriou, 2009. "Non-normality, heteroscedasticity and recursive unit root tests of PPP: solving the PPP puzzle?," Applied Economics Letters, Taylor & Francis Journals, vol. 16(3), pages 223-226.
    6. Arghyrou, Michael G. & Gregoriou, Andros, 2007. "Testing for Purchasing Power Parity correcting for non-normality using the wild bootstrap," Economics Letters, Elsevier, vol. 95(2), pages 285-290, May.
    7. Luca De Angelis & J. James Reade, 2023. "Home advantage and mispricing in indoor sports’ ghost games: the case of European basketball," Annals of Operations Research, Springer, vol. 325(1), pages 391-418, June.

  54. David A. Peel & Ioannis A. Venetis, 2005. "Smooth Transition Models and Arbitrage Consistency," Economica, London School of Economics and Political Science, vol. 72(287), pages 413-430, August.
    See citations under working paper version above.
  55. Venetis, Ioannis A. & Peel, David, 2005. "Non-linearity in stock index returns: the volatility and serial correlation relationship," Economic Modelling, Elsevier, vol. 22(1), pages 1-19, January.

    Cited by:

    1. Julijana Angelovska, 2013. "Detecting Positive Feedback Trading when Autocorrelation is Positive," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 16(1), pages 93-101, May.
    2. Francis In & Sangbae Kim, 2012. "An Introduction to Wavelet Theory in Finance:A Wavelet Multiscale Approach," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 8431, January.
    3. Chen, Lin & Han, Qian & Qiao, Zhilin & Stanley, H. Eugene, 2020. "Correlation analysis and systemic risk measurement of regional, financial and global stock indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).

  56. Ioannis A. Venetis & David A. Peel & Ivan Paya, 2004. "Asymmetry in the link between the yield spread and industrial production: threshold effects and forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(5), pages 373-384.
    See citations under working paper version above.
  57. Michael Cain & David Peel, 2004. "The utility of gambling and the favourite-longshot bias," The European Journal of Finance, Taylor & Francis Journals, vol. 10(5), pages 379-390.

    Cited by:

    1. Hwang, Joon Ho & Kim, Min-Su, 2015. "Misunderstanding of the binomial distribution, market inefficiency, and learning behavior: Evidence from an exotic sports betting market," European Journal of Operational Research, Elsevier, vol. 243(1), pages 333-344.
    2. Philip W. S. Newall & Dominic Cortis, 2021. "Are Sports Bettors Biased toward Longshots, Favorites, or Both? A Literature Review," Risks, MDPI, vol. 9(1), pages 1-9, January.
    3. David Forrest & Ian Mchale, 2007. "Anyone for Tennis (Betting)?," The European Journal of Finance, Taylor & Francis Journals, vol. 13(8), pages 751-768.
    4. Clark, Gordon L. & Fiaschetti, Maurizio & Tufano, Peter & Viehs, Michael, 2018. "Playing with your future: Who gambles in defined-contribution pension plans?," International Review of Financial Analysis, Elsevier, vol. 60(C), pages 213-225.
    5. Grant, Andrew & Johnstone, David & Kwon, Oh Kang, 2019. "The cost of capital in a prediction market," International Journal of Forecasting, Elsevier, vol. 35(1), pages 313-320.

  58. D. A. Peel & I. Paya & I. Venetis, 2004. "Estimates of US monetary policy rules with allowance for changes in the output gap," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 601-605.

    Cited by:

    1. P ez-Farrell, Juan, 2007. "Monetary Policy Rules in Theory and in Practice: Evidence from the UK and the US," Cardiff Economics Working Papers E2007/13, Cardiff University, Cardiff Business School, Economics Section.
    2. Paradiso, Antonio & Rao, B. Bhaskara, 2011. "The effects of Minsky moment and stock prices on the US Taylor Rule," MPRA Paper 27840, University Library of Munich, Germany.
    3. Yu Hsing, 2009. "Is the monetary policy rule responsive to exchange rate changes? The case of Indonesia, Malaysia, the Philippines, and Thailand," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 56(2), pages 123-132, June.
    4. Hatcher, Michael C., 2008. "Speed Limit Policies versus Inflation Targeting: A Free Lunch?," Cardiff Economics Working Papers E2008/20, Cardiff University, Cardiff Business School, Economics Section.

  59. Michael Cain & David Peel, 2004. "Utility and the Skewness of Return in Gambling," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 29(2), pages 145-163, December.

    Cited by:

    1. D. A. Peel, 2008. "Introduction: economics of betting markets," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 1-3.
    2. David Peel & David Law, 2009. "A More General Non‐expected Utility Model as an Explanation of Gambling Outcomes for Individuals and Markets," Economica, London School of Economics and Political Science, vol. 76(302), pages 251-263, April.
    3. Christodoulakis, George & Peel, David, 2006. "The relationship between expected utility and higher moments for distributions captured by the Gram-Charlier class," Finance Research Letters, Elsevier, vol. 3(4), pages 273-276, December.
    4. Chiu, Leslie J. Verteramo, 2013. "Risk Rationing and Jump Utility," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150589, Agricultural and Applied Economics Association.
    5. Ebert, Sebastian, 2015. "On skewed risks in economic models and experiments," Journal of Economic Behavior & Organization, Elsevier, vol. 112(C), pages 85-97.
    6. D. A. Peel, 2012. "Further examples of the impact of skewness on the expected utility of a risk-averse agent," Applied Economics Letters, Taylor & Francis Journals, vol. 19(12), pages 1117-1121, August.
    7. Chiu, Leslie J. Verteramo & Turvey, Calum G., 2013. "A Risk Rationing Model," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150628, Agricultural and Applied Economics Association.
    8. David A. Peel & Davind Law, 2009. "An Explanation of Optimal Each-Way Bets based on Non-Expected Utility Theory," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 3(2), pages 15-35, September.

  60. Venetis, Ioannis A. & Paya, Ivan & Peel, David A., 2003. "Re-examination of the predictability of economic activity using the yield spread: a nonlinear approach," International Review of Economics & Finance, Elsevier, vol. 12(2), pages 187-206.

    Cited by:

    1. B. De Backer & M. Deroose & Ch. Van Nieuwenhuyze, 2019. "Is a recession imminent? The signal of the yield curve," Economic Review, National Bank of Belgium, issue i, pages 69-93, June.
    2. Mateus A. Feitosa & Benjamin M. Tabak, 2007. "Predictability Of Economic Activity Using Yield Spreads: The Case Of Brazil," Anais do XXXV Encontro Nacional de Economia [Proceedings of the 35th Brazilian Economics Meeting] 029, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    3. Abdymomunov, Azamat, 2013. "Predicting output using the entire yield curve," Journal of Macroeconomics, Elsevier, vol. 37(C), pages 333-344.
    4. Terasvirta, Timo, 2006. "Forecasting economic variables with nonlinear models," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 8, pages 413-457, Elsevier.
    5. Dionisios Chionis & Periklis Gogas & Ioannis Pragidis, 2010. "Predicting European Union Recessions in the Euro Era: The Yield Curve as a Forecasting Tool of Economic Activity," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 16(1), pages 1-10, February.
    6. Jesús Crespo Cuaresma & Ernest Gnan & Doris Ritzberger-Grünwald, 2005. "The term structure as a predictor of real activity and inflation in the euro area: a reassessment," BIS Papers chapters, in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 177-92, Bank for International Settlements.
    7. Knut Lehre Seip & Dan Zhang, 2021. "The Yield Curve as a Leading Indicator: Accuracy and Timing of a Parsimonious Forecasting Model," Forecasting, MDPI, vol. 3(2), pages 1-16, May.
    8. Evgenidis, Anastasios & Papadamou, Stephanos & Siriopoulos, Costas, 2020. "The yield spread's ability to forecast economic activity: What have we learned after 30 years of studies?," Journal of Business Research, Elsevier, vol. 106(C), pages 221-232.
    9. Lange, Ronald Henry, 2018. "The term structure of liquidity premia and the macroeconomy in Canada: A dynamic latent-factor approach," International Review of Economics & Finance, Elsevier, vol. 57(C), pages 164-182.
    10. Costanza Torricelli & Marianna Brunetti, 2006. "Economic activity and Recession Probabilities: spread predictive power in Italy," Computing in Economics and Finance 2006 350, Society for Computational Economics.
    11. Gogas, Periklis & Pragidis, Ioannis, 2010. "Does the Interest Risk Premium Predict Housing Prices?," DUTH Research Papers in Economics 1-2010, Democritus University of Thrace, Department of Economics.
    12. Dalu Zhang & Peter Moffatt, 2013. "Time series non-linearity in the real growth / recession-term spread relationship," University of East Anglia Applied and Financial Economics Working Paper Series 047, School of Economics, University of East Anglia, Norwich, UK..
    13. Omay, Tolga, 2008. "The Term Structure of Interest Rate as a Predictor of Inflation and Real Economic Activity: Nonlinear Evidence from Turkey," MPRA Paper 28572, University Library of Munich, Germany.
    14. Periklis Gogas & Ioannis Pragidis, 2012. "GDP trend deviations and the yield spread: the case of eight E.U. countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(1), pages 226-237, January.
    15. Hogrefe, Jens, 2007. "The yield spread and GDP growth - Time Varying Leading Properties and the Role of Monetary Policy," Economics Working Papers 2007-12, Christian-Albrechts-University of Kiel, Department of Economics.
    16. Ibarra-Ramírez Raúl, 2021. "The Yield Curve as a Predictor of Economic Activity in Mexico: The Role of the Term Premium," Working Papers 2021-07, Banco de México.
    17. Lange, Ronald Henry, 2018. "The predictive content of the term premium for GDP growth in Canada: Evidence from linear, Markov-switching and probit estimations," The North American Journal of Economics and Finance, Elsevier, vol. 44(C), pages 80-91.
    18. Periklis Gogas & Ioannis Pragidis, 2010. "GDP Trend Deviations and the Yield Spread: the Case of Five E.U. Countries," Papers 1005.1326, arXiv.org.
    19. Arif Dar & Amaresh Samantaraya & Firdous Shah, 2014. "The predictive power of yield spread: evidence from wavelet analysis," Empirical Economics, Springer, vol. 46(3), pages 887-901, May.
    20. Novella Maugeri, 2014. "Some Pitfalls in Smooth Transition Models Estimation: A Monte Carlo Study," Computational Economics, Springer;Society for Computational Economics, vol. 44(3), pages 339-378, October.
    21. Duarte, Agustin & Venetis, Ioannis A. & Paya, Ivan, 2005. "Predicting real growth and the probability of recession in the Euro area using the yield spread," International Journal of Forecasting, Elsevier, vol. 21(2), pages 261-277.
    22. Paya, Ivan & Matthews, Kent & Peel, David, 2005. "The term spread and real economic activity in the US inter-war period," Journal of Macroeconomics, Elsevier, vol. 27(2), pages 331-343, June.
    23. Evgenidis, Anastasios & Tsagkanos, Athanasios & Siriopoulos, Costas, 2017. "Towards an asymmetric long run equilibrium between stock market uncertainty and the yield spread. A threshold vector error correction approach," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 267-279.
    24. Argyropoulos, Efthymios & Tzavalis, Elias, 2016. "Forecasting economic activity from yield curve factors," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 293-311.
    25. Lange, Ronald H., 2013. "The Canadian macroeconomy and the yield curve: A dynamic latent factor approach," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 261-274.
    26. McMillan, David G., 2019. "Cross-asset relations, correlations and economic implications," Global Finance Journal, Elsevier, vol. 41(C), pages 60-78.
    27. Ivan Paya & David A. Peel & Ioannis A. Venetis, 2004. "Asymmetry In The Link Between The Yield Spread And Industrial Production. Threshold Effects And Forecasting," Working Papers. Serie AD 2004-41, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    28. David C. Wheelock & Mark E. Wohar, 2009. "Can the term spread predict output growth and recessions? a survey of the literature," Review, Federal Reserve Bank of St. Louis, vol. 91(Sep), pages 419-440.
    29. Tronzano, Marco, 2015. "The Expectations Hypothesis of the Term Structure in Emerging Financial Markets: Some Evidence from Malaysia (1999-2015) - La struttura a termine dei tassi di interesse nei paesi emergenti: alcune evi," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 68(4), pages 521-550.
    30. Idilbi-Bayaa, Yasmeen & Qadan, Mahmoud, 2022. "What the current yield curve says, and what the future prices of energy do," Resources Policy, Elsevier, vol. 75(C).

  61. Ivan Paya & David A. Peel, 2003. "Purchasing Power Parity Adjustment Speeds in High Frequency Data when the Equilibrium Real Exchange Rate is Proxied by a Deterministic Trend," Manchester School, University of Manchester, vol. 71(s1), pages 39-53, September.

    Cited by:

    1. Gabriella Legrenzi & Costas Milas, 2004. "Non-linear real exchange rate effects in the UK labour market," International Finance 0411007, University Library of Munich, Germany.
    2. Laurence Copeland, 2007. "Arbitrage Bounds and the Time Series Properties of the Discount on UK Closed‐End Mutual Funds," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(1‐2), pages 313-330, January.
    3. Milas, C., 2003. "Non-linear multivariate adjustment of the UK real exchange rate," Working Papers 03/08, Department of Economics, City University London.
    4. Michael Frömmel & Darko B. Vukovic & Jinyuan Wu, 2022. "The Dollar Exchange Rate, Adjustment to the Purchasing Power Parity, and the Interest Rate Differential," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    5. Copeland, Laurence & Heravi, Saeed, 2006. "Structural Breaks in the Real Exchange Rate Adjustment Mechanism," Cardiff Economics Working Papers E2006/21, Cardiff University, Cardiff Business School, Economics Section.
    6. Wu, Jyh-Lin & Hu, Yu-Hau, 2009. "New evidence on nominal exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 28(6), pages 1045-1063, October.
    7. Narayan Paresh K & Prasad Biman Chand, 2005. "The Validity of Purchasing Power Parity Hypothesis for Eleven Middle Eastern Countries," Review of Middle East Economics and Finance, De Gruyter, vol. 3(2), pages 44-58, August.

  62. Christos Ioannidis & David A. Peel & Michael J. Peel, 2003. "The Time Series Properties of Financial Ratios: Lev Revisited," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(5‐6), pages 699-714, June.

    Cited by:

    1. George Kapetanios & Yongcheol Shin, 2003. "Unit Root Tests in Three-Regime SETAR Models," Edinburgh School of Economics Discussion Paper Series 104, Edinburgh School of Economics, University of Edinburgh.
    2. Andros Gregoriou, 2010. "Corporate Valuation and Dividends: UK Evidence from Panel Unit Root and Cointegration Tests," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 38(1), pages 15-22, March.
    3. George Chalamandaris & Nikos E. Vlachogiannakis, 2018. "Are financial ratios relevant for trading credit risk? Evidence from the CDS market," Annals of Operations Research, Springer, vol. 266(1), pages 395-440, July.
    4. Buch, Claudia M. & Prieto, Esteban, 2012. "Do better capitalized banks lend less? Long-run panel evidence from Germany," University of Tübingen Working Papers in Business and Economics 37, University of Tuebingen, Faculty of Economics and Social Sciences, School of Business and Economics.
    5. Georgios Chortareas & George Kapetanios, 2004. "The Yen Real Exchange Rate may be Stationary after all: Evidence from Non‐linear Unit‐root Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 113-131, February.
    6. Miroslava Vlčková & Tomáš Buus, 2021. "Some Statistical Properties of Models of Transitory Earnings," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 69(2), pages 189-198.
    7. M. E. Bontempi & L. Bottazzi & R. Golinelli, 2015. "Dynamic corporate capital structure behavior: empirical assessment in the light of heterogeneity and non stationarity," Working Papers wp988, Dipartimento Scienze Economiche, Universita' di Bologna.
    8. Jose Luis Gallizo & Pilar Gargallo & Manuel Salvador, 2008. "Multivariate partial adjustment of financial ratios: a Bayesian hierarchical approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(1), pages 43-64.
    9. Hassan B. Ghassan & Stefano Fachin, 2016. "Time series analysis of financial stability of banks: Evidence from Saudi Arabia," Review of Financial Economics, John Wiley & Sons, vol. 31(1), pages 3-17, November.
    10. Angela Black & Patricia Fraser & Martin Hoesli, 2006. "House Prices, Fundamentals and Bubbles," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9‐10), pages 1535-1555, November.
    11. Nikolas Topaloglou, 2015. "Minimizing bank liquidity risk: evidence from the Lehman crisis," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 5(1), pages 23-44, June.
    12. Andrey Sarantsev, 2019. "A New Stock Market Valuation Measure with Applications to Retirement Planning," Papers 1905.04603, arXiv.org, revised Apr 2023.
    13. Bontempi, Maria Elena & Bottazzi, Laura & Golinelli, Roberto, 2020. "A multilevel index of heterogeneous short-term and long-term debt dynamics," Journal of Corporate Finance, Elsevier, vol. 64(C).
    14. Stuart McLeay & Maxwell Stevenson, 2006. "Modelling the Longitudinal Properties of Financial Ratios of European Firms," The Institute for International Integration Studies Discussion Paper Series iiisdp184, IIIS.

  63. J. D. Byers & D. A. Peel, 2003. "Another example of a non-linear time series with misleading linear properties," Applied Economics Letters, Taylor & Francis Journals, vol. 10(1), pages 47-51.

    Cited by:

    1. McMillan, David G., 2009. "Are share prices still too high?," Research in International Business and Finance, Elsevier, vol. 23(3), pages 223-232, September.
    2. Ahmad, Yamin & Craighead, William D., 2011. "Temporal aggregation and purchasing power parity persistence," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 817-830, September.
    3. David G. McMillan, 2010. "Level‐shifts and non‐linearity in US financial ratios," Review of Accounting and Finance, Emerald Group Publishing Limited, vol. 9(2), pages 189-207, May.
    4. McMillan, David G., 2007. "Bubbles in the dividend-price ratio? Evidence from an asymmetric exponential smooth-transition model," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 787-804, March.
    5. David G. McMillan, 2009. "Are Uk Share Prices Too High? Fundamental Value Or New Era," Bulletin of Economic Research, Wiley Blackwell, vol. 61(1), pages 1-20, January.

  64. Nigel Driffield & Christos Ioannidis & David Peel, 2003. "Some Further Empirical Evidence on the Impact of Oil Price Changes on Petrol Prices," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 10(2), pages 195-203.

    Cited by:

    1. Abdhut Deheri & Stefy Carmel, 2024. "Do fluctuations in global crude oil prices have an asymmetric effect on oil product pricing in India?," Economic Change and Restructuring, Springer, vol. 57(1), pages 1-22, February.
    2. Perdiguero-García, Jordi, 2013. "Symmetric or asymmetric oil prices? A meta-analysis approach," Energy Policy, Elsevier, vol. 57(C), pages 389-397.
    3. Jordi Perdiguero-García, 2010. "“Symmetric or asymmetric gasoline prices? A metaanalysis approach”," IREA Working Papers 201013, University of Barcelona, Research Institute of Applied Economics, revised Nov 2010.
    4. Szymon Wlazlowski & Monica Giulietti & Jane Binner & Costas Milas, 2008. "Smooth Transition Models in Price Transmission," Working Paper series 04_08, Rimini Centre for Economic Analysis.
    5. Driffield, Nigel & Ioannidis, Christos, 2000. "Effectiveness and effects of attempts to regulate the UK petrol industry," Energy Economics, Elsevier, vol. 22(3), pages 369-381, June.

  65. Ivan Paya & Ioannis A. Venetis & David A. Peel, 2003. "Further Evidence on PPP Adjustment Speeds: the Case of Effective Real Exchange Rates and the EMS," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(4), pages 421-437, September.

    Cited by:

    1. Ivan Paya & David A. Peel, 2004. "Nonlinear Ppp Under The Gold Standard," Working Papers. Serie AD 2004-24, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    2. McMillan, David G., 2009. "The confusing time-series behaviour of real exchange rates: Are asymmetries important?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 692-711, October.
    3. Ivan Paya & David Peel, 2005. "The process followed by PPP data. On the properties of linearity tests," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2515-2522.
    4. Baharumshah, Ahmad Zubaidi & Liew, Venus Khim-Sen & Chowdhury, Ibrahim, 2010. "Asymmetry dynamics in real exchange rates: New results on East Asian currencies," International Review of Economics & Finance, Elsevier, vol. 19(4), pages 648-661, October.
    5. Apergis, Nicholas & Cooray, Arusha, 2015. "Asymmetric interest rate pass-through in the U.S., the U.K. and Australia: New evidence from selected individual banks," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 155-172.
    6. Ivan Paya & David A. Peel, 2004. "Nonlinear Purchasing Power Parity under the Gold Standard," Southern Economic Journal, John Wiley & Sons, vol. 71(2), pages 302-313, October.
    7. Maican, Florin G. & Sweeney, Richard J., 2013. "Real exchange rate adjustment in European transition countries," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 907-926.
    8. Jyh‐Lin Wu & Pei‐Fen Chen & Ching‐Nun Lee, 2009. "Purchasing Power Parity, Productivity Differentials And Non‐Linearity," Manchester School, University of Manchester, vol. 77(3), pages 271-287, June.
    9. Soubarna Pal, 2011. "Productivity Differential and Bilateral Real Exchange Rate between India and US," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(1), pages 146-155.
    10. Yamin Ahmad & Stuart Glosser, 2007. "Searching for Nonlinearities in Real Exchange Rates?," Working Papers 09-01, UW-Whitewater, Department of Economics, revised Jan 2009.
    11. Pavlidis Efthymios G & Paya Ivan & Peel David A, 2010. "Specifying Smooth Transition Regression Models in the Presence of Conditional Heteroskedasticity of Unknown Form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-40, May.
    12. Tausch, Arno, 2016. "‘Smart development’. An essay on a new political economy of the environment," MPRA Paper 70204, University Library of Munich, Germany.
    13. Mohsen Bahmani-Oskooee & Ali Kutan & Su Zhou, 2009. "Towards solving the PPP puzzle: evidence from 113 countries," Applied Economics, Taylor & Francis Journals, vol. 41(24), pages 3057-3066.
    14. Smallwood, Aaron D., 2008. "Measuring the persistence of deviations from purchasing power parity with a fractionally integrated STAR model," Journal of International Money and Finance, Elsevier, vol. 27(7), pages 1161-1176, November.
    15. Apergis, Nicholas & Cooray, Arusha, 2018. "Asymmetric real exchange rates and poverty: The role of remittances," Emerging Markets Review, Elsevier, vol. 35(C), pages 111-119.
    16. Tausch, Arno & Heshmati, Almas, 2011. "Migration, Openness and the Global Preconditions of 'Smart Development'," IZA Discussion Papers 6169, Institute of Labor Economics (IZA).
    17. Liu, Lin & Chang, Hsu-Ling & Su, Chi-Wei & Jiang, Chun, 2013. "Real interest rate parity in East Asian countries based on China with flexible Fourier stationary test," Japan and the World Economy, Elsevier, vol. 25, pages 52-58.
    18. Juan Carlos Cuestas & Carlyn Dobson, 2011. "Inflation persistence: Implication for a monetary union in the Caribbean," Working Papers 2011017, The University of Sheffield, Department of Economics.
    19. Lin, Jeng-Bau & Liang, Chin-Chia & Yeh, Ming-Liang, 2011. "Examining nonlinear dynamics of exchange rates and forecasting performance based on the exchange rate parity of four Asian economies," Japan and the World Economy, Elsevier, vol. 23(2), pages 79-85, March.
    20. Arusha Cooray, 2009. "Is the adjustment to real interest rate parity asymmetric?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(4), pages 407-418, November.
    21. Dimitris Christopoulos & Peter McAdam & Elias Tzavalis, 2023. "Exploring Okun's law asymmetry: An endogenous threshold logistic smooth transition regression approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 85(1), pages 123-158, February.
    22. Maria Eleftheriou & Nikolas A. Müller-Plantenberg, 2018. "The Purchasing Power Parity Fallacy: Time to Reconsider the PPP Hypothesis," Open Economies Review, Springer, vol. 29(3), pages 481-515, July.
    23. I Paya & D Peel, 2005. "Temporal aggregation of an ESTAR process," Working Papers 565938, Lancaster University Management School, Economics Department.
    24. Ivan Paya & David A. Peel, 2004. "Temporal Aggregation Of An Estar Process: Some Implications For Purchasing Power Parity Adjustment," Working Papers. Serie AD 2004-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    25. Bahmani-Oskooee, Mohsen & Hegerty, Scott W. & Kutan, Ali M., 2009. "Is PPP sensitive to time-varying trade weights in constructing real effective exchange rates?," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 1001-1008, August.
    26. Juan Carlos Cuestas & Carlyn Ramlogan-Dobson, 2013. "Convergence of Inflationary Shocks: Evidence from the Caribbean," The World Economy, Wiley Blackwell, vol. 36(9), pages 1229-1243, September.
    27. Grossmann, Axel & McMillan, David G., 2010. "Forecasting exchange rates: Non-linear adjustment and time-varying equilibrium," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(4), pages 436-450, October.
    28. Copeland, Laurence & Heravi, Saeed, 2006. "Structural Breaks in the Real Exchange Rate Adjustment Mechanism," Cardiff Economics Working Papers E2006/21, Cardiff University, Cardiff Business School, Economics Section.
    29. E Pavlidis & I Paya & D Peel, 2009. "Forecasting the Real Exchange Rate using a Long Span of Data. A Rematch: Linear vs Nonlinear," Working Papers 601190, Lancaster University Management School, Economics Department.
    30. Wu, Jyh-Lin & Hu, Yu-Hau, 2009. "New evidence on nominal exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 28(6), pages 1045-1063, October.
    31. I Paya & D Peel, 2005. "A new analysis of the determinants of the real dollar-sterling exchange rate: 1871-1994," Working Papers 565953, Lancaster University Management School, Economics Department.
    32. Bahmani-Oskooee, Mohsen & Chang, Tsangyao & Yang, Ming-Hsien & Yang, Hong-Lǜe, 2016. "Revisiting real interest rate parity in BRICS countries using ADL test for threshold cointegration," Economic Analysis and Policy, Elsevier, vol. 51(C), pages 86-89.

  66. Michael Cain & David Law & David Peel, 2003. "The Favourite‐Longshot Bias, Bookmaker Margins and Insider Trading in a Variety of Betting Markets," Bulletin of Economic Research, Wiley Blackwell, vol. 55(3), pages 263-273, July.

    Cited by:

    1. Restocchi, Valerio & McGroarty, Frank & Gerding, Enrico & Johnson, Johnnie E.V., 2018. "It takes all sorts: A heterogeneous agent explanation for prediction market mispricing," European Journal of Operational Research, Elsevier, vol. 270(2), pages 556-569.
    2. Dominic Cortis, 2015. "Expected Values And Variances In Bookmaker Payouts: A Theoretical Approach Towards Setting Limits On Odds," Journal of Prediction Markets, University of Buckingham Press, vol. 9(1), pages 1-14.
    3. Smith, Michael A. & Vaughan Williams, Leighton, 2010. "Forecasting horse race outcomes: New evidence on odds bias in UK betting markets," International Journal of Forecasting, Elsevier, vol. 26(3), pages 543-550, July.
    4. Jason P. Berkowitz & Craig A. Depken II & John M. Gandar, 2018. "The Conversion of Money Lines Into Win Probabilities," Journal of Sports Economics, , vol. 19(7), pages 990-1015, October.
    5. Les Coleman, 2007. "Just How Serious is Insider Trading? An Evaluation using Thoroughbred Wagering Markets," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 1(1), pages 31-55, February.
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    107. C. Patrick Scott, 2016. "Are central bank preferences asymmetric when policy targets vary over time?," Empirical Economics, Springer, vol. 51(2), pages 577-589, September.
    108. Paolo Surico, 2007. "The Monetary Policy of the European Central Bank," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(1), pages 115-135, March.
    109. Caglayan, Mustafa & Jehan, Zainab & Mouratidis, Kostas, 2012. "Asymmetric monetary policy rules for open economies: Evidence from four countries," MPRA Paper 37401, University Library of Munich, Germany.
    110. George Christodoulakis, 2006. "Generalised Rational Bias in Financial Forecasts," Annals of Finance, Springer, vol. 2(4), pages 397-405, October.
    111. Naveen Srinivasan & Vidya Mahambare & M. Ramachandran, 2006. "UK monetary policy under inflation forecast targeting: is behaviour consistent with symmetric preferences?," Oxford Economic Papers, Oxford University Press, vol. 58(4), pages 706-721, October.
    112. Scott, C. Patrick, 2016. "Asymmetric preferences and monetary policy deviations," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 325-334.
    113. Semmler, Willi & Zhang, Wenlang, 2007. "Asset price volatility and monetary policy rules: A dynamic model and empirical evidence," Economic Modelling, Elsevier, vol. 24(3), pages 411-430, May.
    114. William Miles & Samuel Schreyer, 2014. "Is monetary policy non-linear in Latin America? a quantile regression approach to Brazil, Chile, Mexico and Peru," Journal of Developing Areas, Tennessee State University, College of Business, vol. 48(2), pages 169-183, April-Jun.
    115. Paolo Surico, 2004. "Inflation Targeting and Nonlinear Policy Rules: The Case of Asymmetric Preferences (new title: The Fed's monetary policy rule and U.S. inflation: The case of asymmetric preferences)," CESifo Working Paper Series 1280, CESifo.
    116. Ma, Yong, 2016. "Nonlinear monetary policy and macroeconomic stabilization in emerging market economies: Evidence from China," Economic Systems, Elsevier, vol. 40(3), pages 461-480.
    117. Surico, Paolo, 2007. "The Fed's monetary policy rule and U.S. inflation: The case of asymmetric preferences," Journal of Economic Dynamics and Control, Elsevier, vol. 31(1), pages 305-324, January.
    118. Fiodendji, Komlan, 2011. "Should Canadian Monetary Policy Respond to Asset Prices? Evidence from a Structural Model," MPRA Paper 27942, University Library of Munich, Germany.
    119. Gabriela Bezerra De Medeiros & Marcelo Savino Portugal & Edilean Kleber Da Silva Bejarano Aragon, 2016. "Endogeneity And Nonlinearities In Central Bank Of Brazil’S Reaction Functions: An Inverse Quantile Regression Approach," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 061, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    120. Ullrich, Katrin, 2003. "Unabhängigkeit und Verantwortlichkeit der Europäischen Zentralbank," ZEW Discussion Papers 03-65, ZEW - Leibniz Centre for European Economic Research.
    121. de Sá, Rodrigo & Portugal, Marcelo S., 2015. "Central bank and asymmetric preferences: An application of sieve estimators to the U.S. and Brazil," Economic Modelling, Elsevier, vol. 51(C), pages 72-83.
    122. Klose, Jens, 2011. "Asymmetric Taylor reaction functions of the ECB: An approach depending on the state of the economy," The North American Journal of Economics and Finance, Elsevier, vol. 22(2), pages 149-163, August.
    123. Yosra Baaziz & Moez Labidi, 2016. "Nonlinear Monetary Policy Rules: An Essay in the Comparative Study on Egyptian and Tunisian Central Banks," Economies, MDPI, vol. 4(2), pages 1-18, April.

  68. D. A. Peel & I. A. Venetis, 2003. "Purchasing power parity over two centuries: trends and nonlinearity," Applied Economics, Taylor & Francis Journals, vol. 35(5), pages 609-617.

    Cited by:

    1. Mohsen Bahmani-Oskooee & Tsangyao Chang & Kuei-Chiu Lee, 2016. "Panel asymmetric nonlinear unit root test and PPP in Africa," Applied Economics Letters, Taylor & Francis Journals, vol. 23(8), pages 554-558, May.
    2. Ivan Paya & David A. Peel, 2004. "Nonlinear Ppp Under The Gold Standard," Working Papers. Serie AD 2004-24, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    3. Franses, Ph.H.B.F. & van Dijk, D.J.C., 2002. "A simple test for PPP among traded goods," Econometric Institute Research Papers EI 2002-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Mohsen Bahmani-Oskooee & Tsangyao Chang & Tsung-Hsien Chen & Han-Wen Tzeng, 2017. "Revisiting purchasing power parity in Eastern European countries: quantile unit root tests," Empirical Economics, Springer, vol. 52(2), pages 463-483, March.
    5. Jyh‐Lin Wu & Pei‐Fen Chen & Ching‐Nun Lee, 2009. "Purchasing Power Parity, Productivity Differentials And Non‐Linearity," Manchester School, University of Manchester, vol. 77(3), pages 271-287, June.
    6. Soubarna Pal, 2011. "Productivity Differential and Bilateral Real Exchange Rate between India and US," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(1), pages 146-155.
    7. Mohsen Bahmani-Oskooee & Ali Kutan & Su Zhou, 2009. "Towards solving the PPP puzzle: evidence from 113 countries," Applied Economics, Taylor & Francis Journals, vol. 41(24), pages 3057-3066.
    8. Mohsen Bahmani-Oskooee & Tsangyao Chang & Shu-Ching Cheng & Tsung-Pao Wu, 2015. "Revisiting purchasing power parity in major oil-exporting countries," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 8(1-2), pages 108-116, July.
    9. Ming-Yuan Leon Li, 2007. "Purchasing power parity under high and low volatility regimes," Applied Economics Letters, Taylor & Francis Journals, vol. 14(8), pages 581-589.
    10. Tastan Huseyin, 2005. "Do real exchange rates contain a unit root? Evidence from Turkish data," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 2037-2053.
    11. Banu Kurtaran, 2015. "Re-examining the PPP Hypothesis via Nonlinearity and Smooth Breaks," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 2(1), pages 1-21.
    12. Yau, Hwey-Yun & Nieh, Chien-Chung, 2006. "Interrelationships among stock prices of Taiwan and Japan and NTD/Yen exchange rate," Journal of Asian Economics, Elsevier, vol. 17(3), pages 535-552, June.
    13. Omay, Tolga & Hasanov, Mubariz & Emirmahmutoglu, Furkan, 2014. "Structural Break, Nonlinearity, and Asymmetry: A re-examination of PPP proposition," MPRA Paper 62335, University Library of Munich, Germany.
    14. Mohsen Bahmani-Oskooee & Tsangyao Chang & Tsung-Pao Wu, 2015. "Purchasing Power Parity in Transition Countries: Panel Stationary Test with Smooth and Sharp Breaks," IJFS, MDPI, vol. 3(2), pages 1-9, May.
    15. Wan, Jer-Yuh & Kao, Chung-Wei, 2009. "Price discovery in Taiwan's foreign exchange market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 77-93, February.
    16. Katja Funke & Isabell Koske, 2008. "Does the Law of One Price Hold within the EU? A Panel Analysis," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 14(1), pages 11-24, February.
    17. Wu, Jyh-Lin & Hu, Yu-Hau, 2009. "New evidence on nominal exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 28(6), pages 1045-1063, October.
    18. Mohsen Bahmani-Oskooee & Omid Ranjbar, 2016. "Quantile unit root test and PPP: evidence from 23 OECD countries," Applied Economics, Taylor & Francis Journals, vol. 48(31), pages 2899-2911, July.
    19. I Paya & D Peel, 2005. "A new analysis of the determinants of the real dollar-sterling exchange rate: 1871-1994," Working Papers 565953, Lancaster University Management School, Economics Department.
    20. Mohsen Bahmani Oskooee & Magda Kandil, 2007. "Real and nominal effective exchange rates in MENA countries: 1970-2004," Applied Economics, Taylor & Francis Journals, vol. 39(19), pages 2489-2501.

  69. Peel, David A. & Ioannidis, Christos, 2003. "Empirical evidence on the relationship between the term structure of interest rates and future real output changes when there are changes in policy regimes," Economics Letters, Elsevier, vol. 78(2), pages 147-152, February.

    Cited by:

    1. B. De Backer & M. Deroose & Ch. Van Nieuwenhuyze, 2019. "Is a recession imminent? The signal of the yield curve," Economic Review, National Bank of Belgium, issue i, pages 69-93, June.
    2. Ioannidis, Christos & Ka, Kook, 2018. "The impact of oil price shocks on the term structure of interest rates," Energy Economics, Elsevier, vol. 72(C), pages 601-620.
    3. Sensoy, A., 2013. "Effects of monetary policy on the long memory in interest rates: Evidence from an emerging market," Chaos, Solitons & Fractals, Elsevier, vol. 57(C), pages 85-88.
    4. Markus Baltzer & Gerhard Kling, 2005. "Predictability of future economic growth and the credibility of different monetary regimes in Germany, 1870 - 2003," Working Papers 5023, Economic History Society.
    5. Gebka, Bartosz & Wohar, Mark E., 2018. "The predictive power of the yield spread for future economic expansions: Evidence from a new approach," Economic Modelling, Elsevier, vol. 75(C), pages 181-195.
    6. Markus Baltzer & Gerhard Kling, 2007. "Predictability of future economic growth and the credibility of monetary regimes in Germany, 1870-2003," Applied Economics Letters, Taylor & Francis Journals, vol. 14(6), pages 401-404.
    7. 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.
    8. Masashi Hasegawa & Yuichi Fukuta, 2011. "An empirical analysis of information in the yield spread on future recessions in Japan," Applied Economics, Taylor & Francis Journals, vol. 43(15), pages 1865-1881.
    9. Cajueiro, Daniel O. & Tabak, Benjamin M., 2009. "Testing for long-range dependence in the Brazilian term structure of interest rates," Chaos, Solitons & Fractals, Elsevier, vol. 40(4), pages 1559-1573.
    10. Bozhechkova, A.V. (Божечкова, А.В.) & Sinelnikova-Muryleva, Elena Vladimirovna (Синельникова-Мурылева, Елена Владимировна), 2016. "The Impact of Higher Interest Rates on Loans to the Economic Growth of the Russian Federation in the Current Environment [Влияние Высоких Процентных Ставок По Заимствованиям На Экономический Рост Р," Working Papers 21310, Russian Presidential Academy of National Economy and Public Administration.

  70. Patrick Minford & David Peel, 2003. "Optimal monetary policy: is price‐level targeting the next step?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(5), pages 650-667, November.

    Cited by:

    1. Minford, Patrick & Srinivasan, Naveen, 2009. "Determinacy in New Keynesian models: a role for money after all?," Cardiff Economics Working Papers E2009/21, Cardiff University, Cardiff Business School, Economics Section, revised Apr 2011.
    2. Berger, Wolfram, 2008. "Monetary policy rules and the exchange rate," Journal of Macroeconomics, Elsevier, vol. 30(3), pages 1064-1084, September.
    3. Le, Vo Phuong Mai & Minford, Patrick, 2007. "Calvo Contracts - Optimal Indexation in General Equilibrium," Cardiff Economics Working Papers E2007/8, Cardiff University, Cardiff Business School, Economics Section, revised Oct 2008.
    4. Lees, Kirdan & Warburton, Sam, 2010. "A happy "half way-house"? Medium term inflation targeting in New Zealand," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 819-839, September.
    5. Steve Ambler, 2009. "Price‐Level Targeting And Stabilisation Policy: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 974-997, December.
    6. Haider Ali & Eatzaz Ahmad, 2014. "Choice of Monetary Policy Instrument under Targeting Regimes in a Simple Stochastic Macro Model," PIDE-Working Papers 2014:102, Pakistan Institute of Development Economics.
    7. Hatcher, Michael C., 2011. "Comparing inflation and price-level targeting: A comprehensive review of the literature," Cardiff Economics Working Papers E2011/22, Cardiff University, Cardiff Business School, Economics Section.
    8. Vojtech Molnar, 2022. "Price Level Targeting with Imperfect Rationality: A Heuristic Approach," Working Papers 2022/1, Czech National Bank.

  71. Sarno, Lucio & Taylor, Mark P & Peel, David A, 2003. "Nonlinear Equilibrium Correction in U.S. Real Money Balances, 1869-1997," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(5), pages 787-799, October.
    See citations under working paper version above.
  72. David Byers & James Davidson & David Peel, 2002. "Modelling political popularity: a correction," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(1), pages 187-189, February.

    Cited by:

    1. Davidson, James & Hashimzade, Nigar, 2009. "Type I and type II fractional Brownian motions: A reconsideration," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2089-2106, April.
    2. David Byers & James Davidson & David Peel, 2007. "The long memory model of political support: some further results," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2547-2552.
    3. Davidson, James & Sibbertsen, Philipp, 2002. "Generating schemes for long memory processes: Regimes, aggregation and linearity," Technical Reports 2002,46, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    4. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2016. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," CREATES Research Papers 2016-30, Department of Economics and Business Economics, Aarhus University.
    5. Eisinga, Rob & Franses, Philip Hans & Ooms, Marius, 1999. "Forecasting long memory left-right political orientations," International Journal of Forecasting, Elsevier, vol. 15(2), pages 185-199, April.
    6. D Byers & D Peel & D A Thomas, 2005. "Habit, aggregation and long memory: evidence from television audience data," Working Papers 567397, Lancaster University Management School, Economics Department.
    7. Davidson, James & Terasvirta, Timo, 2002. "Long memory and nonlinear time series," Journal of Econometrics, Elsevier, vol. 110(2), pages 105-112, October.

  73. Peel, David A & Taylor, Mark P, 2002. "Covered Interest Rate Arbitrage in the Interwar Period and the Keynes-Einzig Conjecture," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(1), pages 51-75, February.

    Cited by:

    1. Levy Yeyati, Eduardo & Schmukler, Sergio L. & Van Horen, Neeltje, 2006. "International financial integration through the law of one price," Policy Research Working Paper Series 3897, The World Bank.
    2. Cuñado, J. & Gil-Alana, L.A. & Perez de Gracia, F., 2012. "Testing for persistent deviations of stock prices to dividends in the Nasdaq index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(20), pages 4675-4685.
    3. Cheung, Yin-Wong (ed.), 2012. "The Evolving Role of China in the Global Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262018234, December.
    4. Richard H. Clarida & Mark P. Taylor, 2003. "Nonlinear Permanent - Temporary Decompositions in Macroeconomics and Finance," Economic Journal, Royal Economic Society, vol. 113(486), pages 125-139, March.
    5. Cho, Dooyeon, 2015. "The role of covered interest parity in explaining the forward premium anomaly within a nonlinear panel framework," Journal of Empirical Finance, Elsevier, vol. 34(C), pages 229-238.
    6. Pasricha, Gurnain, 2008. "Financial Integration in Emerging Market Economies," Santa Cruz Department of Economics, Working Paper Series qt7z35t1cn, Department of Economics, UC Santa Cruz.
    7. Michael Hutchison & Jake Kendall & Gurnain Pasricha & Nirvikar Singh, 2009. "Indian Capital Control Liberalization : Evidence from NDF Markets," Finance Working Papers 22971, East Asian Bureau of Economic Research.
    8. Hernández Juan R., 2020. "Covered Interest Parity: A Stochastic Volatility Approach to Estimate the Neutral Band," Working Papers 2020-02, Banco de México.
    9. Jakob de Haan & Tigran Poghosyan & Jakob de Haan, 2007. "Interest Rate Linkages in EMU Countries: A Rolling Threshold Vector Error-Correction Approach," CESifo Working Paper Series 2060, CESifo.
    10. Bhar, Ramprasad & Kim, Suk-Joong & Pham, Toan M., 2004. "Exchange rate volatility and its impact on the transaction costs of covered interest rate parity," Japan and the World Economy, Elsevier, vol. 16(4), pages 503-525, December.
    11. Dominique Torre, 2012. "The monetary views of Paul Einzig," Post-Print halshs-00726126, HAL.
    12. Pasricha, Gurnain Kaur, 2006. "Survey of Literature on Covered and Uncovered Interest Parities," MPRA Paper 22737, University Library of Munich, Germany.
    13. Jyh‐Lin Wu & Pei‐Fen Chen & Ching‐Nun Lee, 2009. "Purchasing Power Parity, Productivity Differentials And Non‐Linearity," Manchester School, University of Manchester, vol. 77(3), pages 271-287, June.
    14. Jinzhao Chen, 2012. "Crisis, Capital Controls and Covered Interest Parity: Evidence from China in Transformation," Working Papers halshs-00660654, HAL.
    15. Foucault , Thierry & Kozhan , Roman, 2014. "Toxic Arbitrage," HEC Research Papers Series 1040, HEC Paris.
    16. Jun, Nagayasu, 2013. "The Forward Premium Puzzle and The Euro," SIRE Discussion Papers 2013-65, Scottish Institute for Research in Economics (SIRE).
    17. Hernández, Juan R., 2014. "Peso-Dollar Forward Market Analysis: Explaining Arbitrage Opportunities during the Financial Crisis," MPRA Paper 100653, University Library of Munich, Germany.
    18. Levy Yeyati, Eduardo & Schmukler, Sergio L. & Van Horen, Neeltje, 2009. "International financial integration through the law of one price: The role of liquidity and capital controls," Journal of Financial Intermediation, Elsevier, vol. 18(3), pages 432-463, July.
    19. Maurice Obstfeld & Alan M. Taylor, 2002. "Globalization and Capital Markets," NBER Working Papers 8846, National Bureau of Economic Research, Inc.
    20. Rodolphe Blavy & Luciana Juvenal, 2008. "Mexico's integration into NAFTA markets: a view from sectoral real exchange rates," Working Papers 2008-046, Federal Reserve Bank of St. Louis.
    21. Elena Goldman, 2006. "Testing efficiency of the ruble-sterling foreign-exchange market under the gold standard," Empirical Economics, Springer, vol. 31(2), pages 449-477, June.
    22. Richard H. Clarida & Manuela Goretti & Mark P. Taylor, 2007. "Are There Thresholds of Current Account Adjustment in the G7?," NBER Chapters, in: G7 Current Account Imbalances: Sustainability and Adjustment, pages 169-204, National Bureau of Economic Research, Inc.
    23. International Monetary Fund, 2007. "Mexico: Selected Issues," IMF Staff Country Reports 2007/378, International Monetary Fund.
    24. Efthymios Pavlidis & Nicos Pavlidis, 2012. "Dynamic Estimation of Trade Costs from Real Exchange Rates," Working Papers 21883757, Lancaster University Management School, Economics Department.
    25. Koyama, Kentaro & Takeda, Sumihiro, 2023. "Currency basis term structure, cross-border investment flow, and central bank currency swap agreement," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 470-482.
    26. Hallwood, C. Paul & Marsh, Ian W., 2004. "Exchange market pressure on the pound-dollar exchange rate: 1925-1931," The North American Journal of Economics and Finance, Elsevier, vol. 15(2), pages 249-264, August.
    27. Hyeongwoo Kim & Deockhyun Ryu, 2013. "Measuring the Speed of Convergence of Stock Prices: A Nonparametric and Nonlinear Approach," Auburn Economics Working Paper Series auwp2013-06, Department of Economics, Auburn University.
    28. Beckworth David & Hendrickson Josh, 2012. "Great Spending Crashes," The B.E. Journal of Macroeconomics, De Gruyter, vol. 12(1), pages 1-28, September.
    29. Accominotti, Olivier & Chambers, David, 2016. "If you’re so smart: John Maynard Keynes and currency speculation in the interwar years," LSE Research Online Documents on Economics 64722, London School of Economics and Political Science, LSE Library.
    30. Nidhi Aggarwal & Sanchit Arora & Rajeswari Sengupta, 2021. "Capital account liberalisation in a large emerging economy: An Analysis of onshore-offshore arbitrage," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2021-013, Indira Gandhi Institute of Development Research, Mumbai, India.
    31. Elena Tchernykh Branson, 2004. "Application of a Modified TAR Model to CIP Deviations in Asian Data," Working Papers 192004, Hong Kong Institute for Monetary Research.
    32. Fong, Wai-Ming & Valente, Giorgio & Fung, Joseph K.W., 2010. "Covered interest arbitrage profits: The role of liquidity and credit risk," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 1098-1107, May.
    33. Nelson C. Mark & Young-Kyu Moh, 2005. "The real exchange rate and real interest differentials: the role of nonlinearities," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 10(4), pages 323-335.
    34. Koyama, Mark & Johnson, Blake, 2015. "Monetary stability and the rule of law," Journal of Financial Stability, Elsevier, vol. 17(C), pages 46-58.
    35. Syed Adnan Haider Ali Shah Bukhari & Muhammad Shahbaz Akmal & Mohammad Sabihuddin Butt, 2006. "Impact of Exchange Market Forces on Pak-Rupee Exchange Rates during Globalization Period: An Empirical Analysis," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 11(1), pages 121-139, Jan-Jun.
    36. Ramirez-Rondan, N.R. & Terrones, Marco E., 2019. "Uncertainty and the Uncovered Interest Parity Condition: How Are They Related?," MPRA Paper 97524, University Library of Munich, Germany.
    37. Ming-Yuan Leon Li, 2009. "Nonlinear interrelations between ADRs and their underlying stocks revisited: application of threshold VECM," Applied Economics Letters, Taylor & Francis Journals, vol. 16(18), pages 1867-1873.
    38. Byoung Hark Yoo, 2008. "Interest Arbitrage and Interest Rates in Korea," Economic Analysis (Quarterly), Economic Research Institute, Bank of Korea, vol. 14(3), pages 133-155, September.
    39. Bertrand BLANCHETON (CMHE-IFReDE-GRES) & Samuel MAVEYRAUD-TRICOIRE (Université Bordeaux IV), 2006. "The indicators of international financial integration: A set of convergent measures (In French)," Cahiers du GRES (2002-2009) 2006-13, Groupement de Recherches Economiques et Sociales.
    40. Nidhi Aggarwal & Sanchit Arora & Rajeswari Sengupta, 2022. "Capital account openness in India and a comparison with China: Then versus now," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2022-005, Indira Gandhi Institute of Development Research, Mumbai, India.
    41. Elena Tchernykh & William H. Branson, 2005. "Regime-Switching Behavior of the Term Structure of Forward Markets," NBER Working Papers 11517, National Bureau of Economic Research, Inc.
    42. Kuan-Min Wang & Yuan-Ming Lee, 2009. "A measure of marketing price transmission in the rice market of Taiwan," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 27(2), pages 311-326.
    43. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    44. Luciana Juvenal & Mr. Rodolphe Blavy, 2008. "Mexico’s Integration into NAFTA Markets: A View from Sectoral Real Exchange Rates and Transaction Costs," IMF Working Papers 2008/123, International Monetary Fund.
    45. Ted Juhl & William Miles & Marc D. Weidenmier, 2004. "Covered Interest Arbitrage: Then vs. Now," NBER Working Papers 10961, National Bureau of Economic Research, Inc.
    46. Bilson, Chris & Brailsford, Tim & Rajaguru, Gulasekaran, 2022. "Covered interest rate parity deviations in the Asia-Pacific," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    47. Duarte, Agustin & Venetis, Ioannis A. & Paya, Ivan, 2005. "Predicting real growth and the probability of recession in the Euro area using the yield spread," International Journal of Forecasting, Elsevier, vol. 21(2), pages 261-277.
    48. Peter G. Szilagyi & Jonathan A. Batten, 2006. "Arbitrage, Covered Interest Parity and Long-Term Dependence between the US Dollar and the Yen," The Institute for International Integration Studies Discussion Paper Series iiisdp128, IIIS.
    49. Paya, Ivan & Peel, David A. & Spiru, Alina, 2010. "The forward premium puzzle in the interwar period and deviations from covered interest parity," Economics Letters, Elsevier, vol. 108(1), pages 55-57, July.
    50. Batten, Jonathan A. & Szilagyi, Peter G., 2007. "Covered interest parity arbitrage and temporal long-term dependence between the US dollar and the Yen," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 376(C), pages 409-421.
    51. Hernández Juan R., 2014. "Peso-Dollar Forward Market Analysis: Explaining Arbitrage Opportunities during the Financial Crisis," Working Papers 2014-09, Banco de México.
    52. Tigran Poghosyan, 2009. "Are “new” and “old” EU members becoming more financially integrated? A threshold cointegration analysis," International Economics and Economic Policy, Springer, vol. 6(3), pages 259-281, October.

  74. M. Cain & D. Peel & D. Law, 2002. "Skewness as an explanation of gambling by locally risk averse agents," Applied Economics Letters, Taylor & Francis Journals, vol. 9(15), pages 1025-1028.

    Cited by:

    1. Martin Kukuk & Stefan Winter, 2008. "An Alternative Explanation of the Favorite-Longshot Bias," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 2(2), pages 79-96, September.
    2. Philip Grossman & Catherine Eckel, 2015. "Loving the long shot: Risk taking with skewed lotteries," Journal of Risk and Uncertainty, Springer, vol. 51(3), pages 195-217, December.
    3. Ian Walker & Rhys Wheeler, 2018. "The Decline and Fall of UK Lotto," Working Papers 247054751, Lancaster University Management School, Economics Department.
    4. Christodoulakis, George & Peel, David, 2006. "The relationship between expected utility and higher moments for distributions captured by the Gram-Charlier class," Finance Research Letters, Elsevier, vol. 3(4), pages 273-276, December.
    5. Jen-Hung Wang & Larry Tzeng & Junji Tien, 2006. "Willingness to pay and the demand for lotto," Applied Economics, Taylor & Francis Journals, vol. 38(10), pages 1207-1216.
    6. Cho-Min Lin & Kung-Cheng Lin, 2007. "The demand for lottery expenditure in Taiwan: a quantile regression approach," Economics Bulletin, AccessEcon, vol. 4(42), pages 1-11.
    7. Stefan Winter & Martin Kukuk, 2008. "Do horses like vodka and sponging? - On market manipulation and the favourite-longshot bias," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 75-87.

  75. Taylor, Mark P & Peel, David A & Sarno, Lucio, 2001. "Nonlinear Mean-Reversion in Real Exchange Rates: Toward a Solution to the Purchasing Power Parity Puzzles," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 1015-1042, November.
    See citations under working paper version above.
  76. Michael Cain & David Law & David Peel, 2001. "The Relationship between Two Indicators of Insider Trading in British Racetrack Betting," Economica, London School of Economics and Political Science, vol. 68(269), pages 97-104, February.

    Cited by:

    1. Smith, Michael A. & Paton, David & Williams, Leighton Vaughan, 2009. "Do bookmakers possess superior skills to bettors in predicting outcomes?," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 539-549, August.
    2. Michael Cain & David Law & David Peel, 2003. "The Favourite‐Longshot Bias, Bookmaker Margins and Insider Trading in a Variety of Betting Markets," Bulletin of Economic Research, Wiley Blackwell, vol. 55(3), pages 263-273, July.
    3. Les Coleman, 2004. "New light on the longshot bias," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 315-326.
    4. Zhang, Chi & Thijssen, Jacco, 2022. "On sticky bookmaking as a learning device in horse-racing betting markets," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).

  77. Michael Cain & David Law & David A. Peel, 2001. "The Incidence of Insider Trading in Betting Markets and the Gabriel and Marsden Anomaly," Manchester School, University of Manchester, vol. 69(2), pages 197-207, March.

    Cited by:

    1. Smith, Michael A. & Paton, David & Williams, Leighton Vaughan, 2009. "Do bookmakers possess superior skills to bettors in predicting outcomes?," Journal of Economic Behavior & Organization, Elsevier, vol. 71(2), pages 539-549, August.
    2. Les Coleman, 2007. "Just How Serious is Insider Trading? An Evaluation using Thoroughbred Wagering Markets," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 1(1), pages 31-55, February.
    3. Vincenzo Candila & Antonio Scognamillo, 2019. "On the Longshot Bias in Tennis Betting Markets: The Casco Normalization," Working Papers 3_236, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
    4. D. A. Peel & Jie Zhang & D. Law, 2008. "The Markowitz model of utility supplemented with a small degree of probability distortion as an explanation of outcomes of Allais experiments over large and small payoffs and gambling on unlikely outc," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 17-26.
    5. Les Coleman, 2004. "New light on the longshot bias," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 315-326.
    6. Nikolaos Vlastakis & George Dotsis & Raphael N. Markellos, 2009. "How efficient is the European football betting market? Evidence from arbitrage and trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 426-444.

  78. D. A. Peel & A. E. H. Speight, 2000. "Threshold nonlinearities in unemployment rates: further evidence for the UK and G3 economies," Applied Economics, Taylor & Francis Journals, vol. 32(6), pages 705-715.

    Cited by:

    1. Dimitrios I. Vortelinos & Konstantinos Gkillas, 2018. "Intraday realised volatility forecasting and announcements," International Journal of Banking, Accounting and Finance, Inderscience Enterprises Ltd, vol. 9(1), pages 88-118.
    2. Tsong, Ching-Chuan & Wu, Chien-Wei & Chiu, Hsien-Hung & Lee, Cheng-Feng, 2013. "Covariate unit root tests under structural change and asymmetric STAR dynamics," Economic Modelling, Elsevier, vol. 33(C), pages 101-112.
    3. Costas Milas & Philip Rothman, 2007. "Out-of-Sample Forecasting of Unemployment Rates with Pooled STVECM Forecasts," Working Paper series 49_07, Rimini Centre for Economic Analysis.
    4. 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.
    5. R. Inglesi-Lotz & A. Hakimi & A. Pouris, 2018. "Patents vs publications and R&D: three sides of the same coin? Panel Smooth Transition Regression (PSTR) for OECD and BRICS countries," Applied Economics, Taylor & Francis Journals, vol. 50(45), pages 4912-4923, September.
    6. 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.
    7. Amaia Altuzarra, 2015. "Measuring Unemployment Persistence by Age and Gender," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 110-133, December.
    8. Lee, Cheng-Feng, 2010. "Testing for unemployment hysteresis in nonlinear heterogeneous panels: International evidence," Economic Modelling, Elsevier, vol. 27(5), pages 1097-1102, September.
    9. Tsong Ching-Chuan, 2012. "Unit Root Testing with Stationary Covariates in the Framework of Asymmetric STAR Nonlinearity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-27, December.
    10. Umi Mahmudah, 2017. "Predicting unemployment rates in Indonesia," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 9(1), pages 20-28, April.
    11. Cai, Yuzhi, 2007. "A quantile approach to US GNP," Economic Modelling, Elsevier, vol. 24(6), pages 969-979, November.
    12. Ullrich Heilemann & Herman Stekler, 2010. "Perspectives on Evaluating Macroeconomic Forecasts," Working Papers 2010-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    13. Costas Milas & Phil Rothman, 2005. "Multivariate STAR Unemployment Rate Forecasts," Econometrics 0502010, University Library of Munich, Germany.
    14. Chang, Tsangyao & Lee, Chia-Hao, 2011. "Hysteresis in Unemployment for G-7 Countries: Threshold Unit Root Test," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 5-14, December.
    15. Hamdi, Helmi & Hakimi, Abdelaziz, 2019. "Does Liquidity Matter on Bank Profitability? Evidence from a Nonlinear Framework for a Large Sample," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 10(1), pages 13-26, January.
    16. Floros, Ch., 2005. "Forecasting the UK Unemployment Rate: Model Comparisons," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(4), pages 57-72.
    17. Olmedo, Elena, 2011. "Is there chaos in the Spanish labour market?," Chaos, Solitons & Fractals, Elsevier, vol. 44(12), pages 1045-1053.
    18. Lee, Cheng-Feng & Hu, Te-Chung & Li, Ping-Cheng & Tsong, Ching-Chuan, 2013. "Asymmetric behavior of unemployment rates: Evidence from the quantile covariate unit root test," Japan and the World Economy, Elsevier, vol. 28(C), pages 72-84.
    19. Tarlok Singh, 2012. "Testing nonlinearities in economic growth in the OECD countries: an evidence from SETAR and STAR models," Applied Economics, Taylor & Francis Journals, vol. 44(30), pages 3887-3908, October.
    20. Elena Olmedo, 2014. "Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 183-197, February.
    21. Tsong Ching-Chuan, 2012. "Unit Root Testing with Stationary Covariates in the Framework of Asymmetric STAR Nonlinearity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-27, December.
    22. Chang, Ming-Jen & Su, Che-Yi, 2014. "Hysteresis versus natural rate in Taiwan's unemployment: Evidence from the educational attainment categories," Economic Modelling, Elsevier, vol. 43(C), pages 293-304.
    23. Abdelaziz Hakimi & Rim Boussaada & Majdi Karmani, 2022. "Is the relationship between corruption, government stability and non‐performing loans non‐linear? A threshold analysis for the MENA region," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4383-4398, October.
    24. Adriana AnaMaria Davidescu & Simona-Andreea Apostu & Liviu Adrian Stoica, 2021. "Socioeconomic Effects of COVID-19 Pandemic: Exploring Uncertainty in the Forecast of the Romanian Unemployment Rate for the Period 2020–2023," Sustainability, MDPI, vol. 13(13), pages 1-22, June.

  79. D. A. Peel, 2000. "Uncertain central bankers' preferences: some implications of multiplicative versus additive uncertainty," Applied Economics Letters, Taylor & Francis Journals, vol. 7(12), pages 771-773.

    Cited by:

    1. Laban K. Chesang & Ruthira Naraidoo, 2014. "Parameter Uncertainty and Inflation Dynamics in a Model with Asymmetric Central Bank Preferences," Working Papers 201437, University of Pretoria, Department of Economics.

  80. Pennings, Enrico & Sleuwaegen, Leo, 2000. "International relocation: firm and industry determinants," Economics Letters, Elsevier, vol. 67(2), pages 179-186, May.

    Cited by:

    1. Jaan Masso & Urmas Varblane & Priit Vahter, 2010. "The Impact Of Outward Fdi On Home-Country Employment In A Low-Cost Transition Economy," World Scientific Book Chapters, in: David A Dyker (ed.), Network Dynamics In Emerging Regions Of Europe, chapter 16, pages 333-360, World Scientific Publishing Co. Pte. Ltd..
    2. René Belderbos & Jianglei Zou, 2006. "Foreign Investment, Divestment and Relocation by Japanese Electronics Firms in East Asia," Asian Economic Journal, East Asian Economic Association, vol. 20(1), pages 1-27, March.
    3. Willem Molle, 2002. "Globalization, Regionalism and Labour Markets: Should We Recast the Foundations of the EU Regime in Matters of Regional (Rural and Urban) Development?," Regional Studies, Taylor & Francis Journals, vol. 36(2), pages 161-172.
    4. Oberhofer, Harald & Pfaffermayr, Michael, 2010. "Firm Growth in Multinational Corporate Groups," Working Papers in Economics 2010-7, University of Salzburg.
    5. Gerda Dewit & Holger Görg & Yama Temouri, 2019. "Employment Protection and Firm Relocation: Theory and Evidence," Economica, London School of Economics and Political Science, vol. 86(344), pages 663-688, October.
    6. Wataru Johdo, 2010. "Profit Tax And Firm Mobility In A Three‐Country Model," Australian Economic Papers, Wiley Blackwell, vol. 49(2), pages 111-126, June.
    7. Xu, Mengyao & Zhang, Zhengfeng, 2021. "Spatial differentiation characteristics and driving mechanism of rural-industrial Land transition: A case study of Beijing-Tianjin-Hebei region, China," Land Use Policy, Elsevier, vol. 102(C).
    8. Enrico Pennings, "undated". "How to Maximize Domestic Benefits from Irreversible Foreign Investments," Working Papers 205, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    9. Thomas Farole & Megha Mukim, 2013. "Manufacturing Export Competitiveness in Kenya : A Policy Note on Revitalizing and Diversifying Kenya's Manufacturing Sector," World Bank Publications - Reports 16993, The World Bank Group.
    10. Andreas Grossler, 2010. "An Exploratory Study of Differences in Manufacturing Strategy between National and Global Production Firms," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 1(1), pages 47-62, December.
    11. Jan Ženka & Vladislav Čadil, 2009. "Regional distribution of technology-intensive manufacturing industries in the czech republic with an accent on risk of delocalisation," Prague Economic Papers, Prague University of Economics and Business, vol. 2009(1), pages 61-77.
    12. Jan Ženka, 2009. "Delokalizace zpracovatelského průmyslu ČR (komponentní analýza) [Delocalization of czech manufacturing: which branches of manufacturing are threatened by relocation abroad?]," Politická ekonomie, Prague University of Economics and Business, vol. 2009(1), pages 79-93.
    13. Jesús F. Lampón & Santiago Lago-Peñas & Pablo Cabanelas, 2016. "Can the periphery achieve core? The case of the automobile components industry in Spain," Papers in Regional Science, Wiley Blackwell, vol. 95(3), pages 595-612, August.
    14. Kummer, Sebastian & Dieplinger, Maria & Fürst, Elmar, 2014. "Flagging out in road freight transport: a strategy to reduce corporate costs in a competitive environment," Journal of Transport Geography, Elsevier, vol. 36(C), pages 141-150.
    15. Chen, Yu-Fu & Görg, Holger & Görlich, Dennis & Molana, Hassan & Montagna, Catia & Temouri, Yama, 2014. "Globalisation and the future of the welfare state," Kiel Policy Brief 76, Kiel Institute for the World Economy (IfW Kiel).
    16. Silvia Rocha‐Akis & Ronnie Schöb, 2011. "Welfare Policy in the Presence of Unionised Labour and Internationally Mobile Firms," Scandinavian Journal of Economics, Wiley Blackwell, vol. 113(1), pages 93-119, March.
    17. Colen, Liesbeth & Persyn, Damiaan & Guariso, Andrea, 2016. "Bilateral Investment Treaties and FDI: Does the Sector Matter?," World Development, Elsevier, vol. 83(C), pages 193-206.
    18. Rene Belderbos & Jianglei Zou, 2005. "Divesture of Foreign Manufacturing Affiliates: Country Platforms, Multinational Plant Networks, and Foreign Investor Agglomeration," Hi-Stat Discussion Paper Series d04-72, Institute of Economic Research, Hitotsubashi University.
    19. Gerda Dewit & Holger Görg & Yama Temouri, 2013. "Employment Protection and Relocation with Firm Heterogeneity," Economics Department Working Paper Series n234-13.pdf, Department of Economics, National University of Ireland - Maynooth.
    20. Timo Mitze & Fabian Kreutzer, 2023. "Relocation, innovation, and the difference that firm size makes: Insights for global sourcing strategies of SMEs," Journal of International Entrepreneurship, Springer, vol. 21(3), pages 354-384, September.
    21. Lampón, Jesús F., 2019. "Relocation in conditions of uncertainty: the Spanish automobile components industry during the economic crisis (2008-2012)," MPRA Paper 92738, University Library of Munich, Germany.
    22. Nigel Driffield & Holger Görg & Yama Temouri & Xiaocan Yuan, . "Multinational enterprises and the welfare state," UNCTAD Transnational Corporations Journal, United Nations Conference on Trade and Development.
    23. Werner Hölzl, 2002. "Exit, Entry and industry turbulence in Austrian Manufacturing, 1981-1994," Working Papers geewp21, Vienna University of Economics and Business Research Group: Growth and Employment in Europe: Sustainability and Competitiveness.
    24. Bellak, Christian, 2004. "The Impact of Enlargement on the Race for FDI," Department of Economics Working Paper Series 86, WU Vienna University of Economics and Business.
    25. Delis, Agelos & Driffield, Nigel & Temouri, Yama, 2019. "The global recession and the shift to re-shoring: Myth or reality?," Journal of Business Research, Elsevier, vol. 103(C), pages 632-643.
    26. Ilke Van Beveren, 2007. "Footloose Multinationals in Belgium?," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 143(3), pages 483-507, October.
    27. Jesús F. Lampón, 2020. "The impact of uncertainty on production relocation: Implications from a regional perspective," Papers in Regional Science, Wiley Blackwell, vol. 99(3), pages 427-446, June.
    28. Pierre Blanchard & Emmanuel Dhyne & Catherine Fuss & Claude Mathieu, 2012. "(Not so) easy come, (still) easy go? Footloose multinationals revisited," Working Paper Research 223, National Bank of Belgium.
    29. Sels, A.T.H., 2006. "Foreign direct investment as an entry mode. An application in emerging economies," Other publications TiSEM 583ca9b5-1691-425d-8f77-0, Tilburg University, School of Economics and Management.
    30. Beckert, Bernd & Buschak, Daniela & Graf, Birgit & Hägele, Martin & Jäger, Angela & Moll, Cornelius & Schmoch, Ulrich & Wydra, Sven, 2016. "Automatisierung und Robotik-Systeme," Studien zum deutschen Innovationssystem 11-2016, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.
    31. Conroy, Tessa & Deller, Steven & Tsvetkova, Alexandra, 2016. "Regional business climate and interstate manufacturing relocation decisions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 155-168.
    32. Artís, Manuel & Ramos, Raul & Surinach, Jordi, 2007. "Job Losses, Outsourcing and Relocation: Empirical Evidence Using Microdata," IZA Discussion Papers 2978, Institute of Labor Economics (IZA).
    33. Barbieri Teresa & Devicienti Francesco & Manello Alessandro & Vannoni Davide, 2022. "The effect of EPL on the internationalization of small firms," Working papers 078, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
    34. Lampón, Jesús F. & Cabanelas, Pablo & Carballo-Cruz, Francisco, 2017. "A model for international production relocation: Multinationals' operational flexibility and requirements at production plant level," Journal of Business Research, Elsevier, vol. 77(C), pages 95-101.
    35. Haruo H. Horaguchi & Toichiro Susumago, 2022. "Global R&D Location Strategy of Multinational Enterprises: an Agent-Based Simulation Modeling Approach," Journal of Industry, Competition and Trade, Springer, vol. 22(3), pages 457-479, December.
    36. Linda Fung‐Yee Ng & Chyau Tuan, 2004. "Does Post‐ante Investment Experience Matter? Lessons from FDI in China," The World Economy, Wiley Blackwell, vol. 27(10), pages 1631-1657, November.
    37. Brouwer, Aleid & Mariotti, Ilaria & van Ommeren, Jos, 2002. "The firm relocation decision: a logit model," ERSA conference papers ersa02p205, European Regional Science Association.
    38. Jesús F. Lampón & Pablo Cabanelas-Lorenzo & Santiago Lago-Peñas, 2013. "Why firms relocate their production overseas? The answer lies inside: corporate, logistic and technological determinants," Working Papers 2013/3, Institut d'Economia de Barcelona (IEB).
    39. Yu-Fu Chen & Hassan Molana & Catia Montagna & Holger Görg & Dennis Görlich & Yama Temouri, 2014. "Globalisation and the Future of the Welfare State. WWWforEurope Working Paper No. 54," WIFO Studies, WIFO, number 47156, February.
    40. Martin Borowiecki & Bernhard Dachs & Doris Hanzl-Weiss & Steffen Kinkel & Johannes Pöschl & Magdolna Sass & Thomas Christian Schmall & Robert Stehrer & Andrea Szalavetz, 2012. "Global Value Chains and the EU Industry," wiiw Research Reports 383, The Vienna Institute for International Economic Studies, wiiw.
    41. Dewit, Gerda & Görg, Holger & Temouri, Yama, 2019. "Employment Protection and Firm Relocation: Theory and Evidence," Open Access Publications from Kiel Institute for the World Economy 265098, Kiel Institute for the World Economy (IfW Kiel).
    42. Ilaria Mariotti & Giacinto Micucci & Pasqualino Montanaro, 2004. "Internationalisation strategies of Italian district SMEs: an analysis on firm-level data," ERSA conference papers ersa04p436, European Regional Science Association.
    43. Antonios Georgopoulos & Felicitas Nowak-Lehmann D. & Vasilios Sogiakas, 2013. "Survival Characteristics and Adjustment of MNE Affiliates in the European Integrated Market," Ibero America Institute for Econ. Research (IAI) Discussion Papers 225, Ibero-America Institute for Economic Research.
    44. Belderbos, René & De Michiel, Federico & Sleuwaegen, Leo & Wu, Shubin, 2021. "Global market integration, efficiency orientation, and drivers of foreign subsidiary divestments," Journal of World Business, Elsevier, vol. 56(5).
    45. Petr Pavlínek & Jan Ženka, 2011. "Upgrading in the automotive industry: firm-level evidence from Central Europe," Journal of Economic Geography, Oxford University Press, vol. 11(3), pages 559-586, May.
    46. Cao Nguyen & Kazushi Sano & Tu Tran & Tan Doan, 2013. "Firm relocation patterns incorporating spatial interactions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(3), pages 685-703, June.
    47. Deschryvere, Matthias, 2009. "Mobility of Corporate Headquarter Functions: A Literature Review," Discussion Papers 1203, The Research Institute of the Finnish Economy.
    48. Yuxuan Pan & Tessa Conroy & Alexandra Tsvetkova & Matthew Kures, 2020. "Incentives and Firm Migration: An Interstate Comparison Approach," Economic Development Quarterly, , vol. 34(2), pages 140-153, May.
    49. René Belderbos, 2003. "Antidumping and foreign divestment: Japanese electronics multinationals in the EU," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 139(1), pages 131-160, March.

  81. Nobay, A. R. & Peel, D. A., 2000. "Optimal monetary policy with a nonlinear Phillips curve," Economics Letters, Elsevier, vol. 67(2), pages 159-164, May.

    Cited by:

    1. Stefano d'Addona & Ilaria Musumeci, 2012. "The British opt-out from the European Monetary Union: empirical evidence from monetary policy rules," CEIS Research Paper 225, Tor Vergata University, CEIS, revised 26 Mar 2012.
    2. Samira Haddou, 2010. "Non-linéarité de la fonction de réaction des autorités monétaires tunisiennes," Économie et Prévision, Programme National Persée, vol. 195(4), pages 99-110.
    3. Pierre-Guillaume Méon & Giuseppe Diana, 2008. "Monetary policy in the presence of asymmetric wage indexation," ULB Institutional Repository 2013/8354, ULB -- Universite Libre de Bruxelles.
    4. Tomas Skovranek, 2016. "The Mittag-Leffler Fitting of the Phillips Curve," Papers 1604.00369, arXiv.org, revised Sep 2019.
    5. Areosa, Waldyr Dutra & McAleer, Michael & Medeiros, Marcelo C., 2011. "Moment-based estimation of smooth transition regression models with endogenous variables," Journal of Econometrics, Elsevier, vol. 165(1), pages 100-111.
    6. Orlando Gomes & Vivaldo M. Mendes & Diana A. Mendes & J. Sousa Ramos, 2006. "Chaotic Dynamics in Optimal Monetary Policy," Papers nlin/0607064, arXiv.org, revised Dec 2006.
    7. Correa, Arnildo da Silva & Minella, André, 2010. "Nonlinear mechanisms of the exchange rate pass-through: A Phillips curve model with threshold for Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 64(3), September.
    8. Ruge-Murcia, F.J., 2001. "Inflation Targeting Under Asymmetric Preferences," Cahiers de recherche 2001-04, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    9. Pedro Pablo Alvarez Lois, 2000. "Asymmetries In The Capacity-Inflation Trade-Off," UFAE and IAE Working Papers 470.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    10. Salgado, Maria José S. & Garcia, Márcio G. P. & Medeiros, Marcelo C., 2005. "Monetary Policy During Brazil´s Real Plan: Estimating the Central Bank´s Reaction Function," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 59(1), January.
    11. Gabriela Bezerra Medeiros & Marcelo Savino Portugal & Edilean Kleber da Silva Bejarano Aragón, 2017. "Endogeneity and nonlinearities in Central Bank of Brazil’s reaction functions: an inverse quantile regression approach," Empirical Economics, Springer, vol. 53(4), pages 1503-1527, December.
    12. DOLADO, J.J. & MARIA-DOLORES, R. & RUGE-MURCIA, Francisco J., 2003. "Nonlinear Monetary Policy Rules: Some New Evidence for the U.S," Cahiers de recherche 18-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    13. Tomas Skovranek, 2019. "The Mittag-Leffler Fitting of the Phillips Curve," Mathematics, MDPI, vol. 7(7), pages 1-11, July.
    14. Wang, Rudan & Morley, Bruce & Stamatogiannis, Michalis P., 2019. "Forecasting the exchange rate using nonlinear Taylor rule based models," International Journal of Forecasting, Elsevier, vol. 35(2), pages 429-442.
    15. Edilean Kleber da Silva Bejarano Aragón, 2021. "Specification errors, nonlinearities, and structural breaks in the Central Bank of Brazil’s reaction function," Empirical Economics, Springer, vol. 60(3), pages 1221-1243, March.
    16. George Christodoulakis & David Peel, 2009. "The Central Bank Inflation Bias in the Presence of Asymmetric Preferences and Non-Normal Shocks," Economics Bulletin, AccessEcon, vol. 29(3), pages 1608-1620.
    17. Semmler, Willi & Gross, Marco, 2017. "Mind the output gap: the disconnect of growth and inflation during recessions and convex Phillips curves in the euro area," Working Paper Series 2004, European Central Bank.
    18. Pedro P. Alvarez-Lois, 2005. "Production Inflexibilities and the Cost Channel of Monetary Policy," Economic Inquiry, Western Economic Association International, vol. 43(1), pages 170-193, January.
    19. Bui, Trung Thanh & Kiss, Gábor Dávid, 2020. "Asymmetry in the Reaction Function of Monetary Policy in Emerging Economies," Public Finance Quarterly, Corvinus University of Budapest, vol. 65(2), pages 210-224.
    20. Esther Barros-Campello & Carlos Pateiro-Rodríguez & J. Venancio Salcines-Cristal & Carlos Pateiro-López, 2017. "El esquema de objetivos de inflación: Evidencia para América Latina (1999-2015)," Estudios de Economia, University of Chile, Department of Economics, vol. 44(2 Year 20), pages 223-250, December.
    21. Alvarez-Lois, Pedro P., 2004. "Capacity constraints, idiosyncratic demand uncertainty and the dynamics of inflation," Economics Letters, Elsevier, vol. 83(1), pages 15-21, April.
    22. Hasanov, Mübariz & Araç, Aysen & Telatar, Funda, 2010. "Nonlinearity and structural stability in the Phillips curve: Evidence from Turkey," Economic Modelling, Elsevier, vol. 27(5), pages 1103-1115, September.
    23. Harold Ngalawa & Coretha Komba, 2020. "Inflation‐Output Trade‐Off in South Africa: Is the Phillips Curve Symmetric?," South African Journal of Economics, Economic Society of South Africa, vol. 88(4), pages 472-494, December.
    24. RUGE-MURCIA, Francisco J., 2001. "The Inflation Bias When the Central Bank Targets, the Natural Rate of Unemployment," Cahiers de recherche 2001-22, Universite de Montreal, Departement de sciences economiques.
    25. de Sá, Rodrigo & Savino Portugal, Marcelo, 2015. "Central bank and asymmetric preferences: An application of sieve estimators to the U.S. and Brazil," MPRA Paper 72746, University Library of Munich, Germany.
    26. Hasanov, Mübariz & Omay, Tolga, 2008. "Monetary policy rules in practice: Re-examining the case of Turkey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(16), pages 4309-4318.
    27. Nidhal Mgadmi & Slim Chaouachi & Wajdi Moussa & Azza Bejaoui, 2021. "Does the Tunisian Central Bank follow an augmented nonlinear Taylor rule?," SN Business & Economics, Springer, vol. 1(1), pages 1-15, January.
    28. Neuenkirch, Matthias & Tillmann, Peter, 2014. "Inflation targeting, credibility, and non-linear Taylor rules," Journal of International Money and Finance, Elsevier, vol. 41(C), pages 30-45.
    29. Tambakis Demosthenes N., 2009. "Optimal Monetary Policy with a Convex Phillips Curve," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-25, June.
    30. Edilean Kleber da Silva Bejarano Aragón & Marcelo Savino Portugal, 2008. "Nonlinearities in Central Bank of Brazil’s reaction function: the case of asymmetric preferences," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807151356590, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    31. Garratt A. & Lee K. & Pesaran M.H. & Shin Y., 2003. "Forecast Uncertainties in Macroeconomic Modeling: An Application to the U.K. Economy," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 829-838, January.
    32. Pedro Pablo Alvarez Lois, 2000. "Endogenous capacity utilization and the asymmetric effects of monetary policy," UFAE and IAE Working Papers 469.00, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    33. Hyeon-seung Huh & Hyun Lee & Namkyung Lee, 2009. "Nonlinear Phillips curve, NAIRU and monetary policy rules," Empirical Economics, Springer, vol. 37(1), pages 131-151, September.
    34. Ewing, Bradley T. & Seyfried, William L, 2003. "Modeling The Philips Curve: A Time-Varying Volatility Approach," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 3(2).
    35. Pedro Pablo Álvarez Lois, 2003. "Capacity utilization and Monetary Policy," Working Papers 0306, Banco de España.
    36. Gabriela Bezerra De Medeiros & Marcelo Savino Portugal & Edilean Kleber Da Silva Bejarano Aragon, 2016. "Endogeneity And Nonlinearities In Central Bank Of Brazil’S Reaction Functions: An Inverse Quantile Regression Approach," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 061, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
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  84. J. D. Byers & D. A. Peel, 2000. "Non‐Linear Dynamics of Inflation in High Inflation Economies," Manchester School, University of Manchester, vol. 68(s1), pages 23-37.

    Cited by:

    1. Ivan Paya & David Peel, 2005. "The process followed by PPP data. On the properties of linearity tests," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2515-2522.
    2. Ivan Paya & David A. Peel, 2003. "Purchasing Power Parity Adjustment Speeds in High Frequency Data when the Equilibrium Real Exchange Rate is Proxied by a Deterministic Trend," Manchester School, University of Manchester, vol. 71(s1), pages 39-53, September.
    3. Bob Nobay & Ivan Paya & David A. Peel, 2007. "Inflation Dynamics in the US -A Nonlinear Perspective," FMG Discussion Papers dp601, Financial Markets Group.
    4. Ivan Paya & David A. Peel, 2004. "Temporal Aggregation Of An Estar Process: Some Implications For Purchasing Power Parity Adjustment," Working Papers. Serie AD 2004-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    5. Carlos Usabiaga & Diego Romero-Ávila, 2012. "New Disaggregate Evidence on Spanish Inflation Persistence," EcoMod2012 3800, EcoMod.
    6. J. D. Byers & D. A. Peel, 2003. "Another example of a non-linear time series with misleading linear properties," Applied Economics Letters, Taylor & Francis Journals, vol. 10(1), pages 47-51.

  85. Michael Cain & David Law & David Peel, 2000. "The Favourite‐Longshot Bias and Market Efficiency in UK Football betting," Scottish Journal of Political Economy, Scottish Economic Society, vol. 47(1), pages 25-36, February.

    Cited by:

    1. Kevin Alavy & Alison Gaskell & Stephanie Leach & Stefan Szymanski, 2006. "On the Edge of Your Seat: Demand for Football on Television and the Uncertainty of Outcome Hypothesis," Working Papers 0631, International Association of Sports Economists;North American Association of Sports Economists.
    2. J Reade & C Singleton & L Vaughan Williams, 2020. "Betting Markets for English Premier League Results and Scorelines: Evaluating a Simple Forecasting Model," Economic Issues Journal Articles, Economic Issues, vol. 25(1), pages 87-106, March.
    3. Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    4. Goddard, John, 2005. "Regression models for forecasting goals and match results in association football," International Journal of Forecasting, Elsevier, vol. 21(2), pages 331-340.
    5. Whelan, Karl & Hegarty, Tadgh, 2023. "Forecasting Soccer Matches With Betting Odds: A Tale of Two Markets," CEPR Discussion Papers 17949, C.E.P.R. Discussion Papers.
    6. Herman O. Stekler, 2007. "Sports Forecasting," Working Papers 2007-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Jan 2007.
    7. Martin Spann & Bernd Skiera, 2009. "Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 55-72.
    8. Ioannis Asimakopoulos & John Goddard, 2004. "Forecasting football results and the efficiency of fixed-odds betting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(1), pages 51-66.
    9. Fischer, Kai & Haucap, Justus, 2020. "Betting market efficiency in the presence of unfamiliar shocks: The case of ghost games during the COVID-19 pandemic," DICE Discussion Papers 349, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    10. Roman Malaric & Tomislav Katic & Dubravko Sabolic, 2007. "The market efficiency of the soccer fixed odds internet betting market," Applied Economics Letters, Taylor & Francis Journals, vol. 15(3), pages 171-174.
    11. J. James Reade & Carl Singleton & Alasdair Brown, 2019. "Evaluating Strange Forecasts: The Curious Case of Football Match Scorelines," Economics Discussion Papers em-dp2019-18, Department of Economics, University of Reading, revised 01 Aug 2020.
    12. Rebeggiani, Luca & Gross, Johannes, 2018. "Chance or Ability? The Efficiency of the Football Betting Market Revisited," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181563, Verein für Socialpolitik / German Economic Association.
    13. Jaume García & Levi Pérez & Plácido Rodríguez, 2017. "Forecasting football match results: are the many smarter than the few?," Chapters, in: Plácido Rodríguez & Brad R. Humphreys & Robert Simmons (ed.), The Economics of Sports Betting, chapter 5, pages 71-91, Edward Elgar Publishing.
    14. Carl Singleton & J. James Reade & Alsdair Brown, 2018. "Going with your Gut: The (In)accuracy of Forecast Revisions in a Football Score Prediction Game," Working Papers 2018-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    15. Whelan, Karl, 2023. "Risk Aversion and Favorite-Longshot Bias in a Competitive Fixed-Odds Betting Market," MPRA Paper 116923, University Library of Munich, Germany.
    16. Alexis Direr, 2013. "Are betting markets efficient? Evidence from European Football Championships," Applied Economics, Taylor & Francis Journals, vol. 45(3), pages 343-356, January.
    17. Nilsson, Håkan & Andersson, Patric, 2010. "Making the seemingly impossible appear possible: Effects of conjunction fallacies in evaluations of bets on football games," Journal of Economic Psychology, Elsevier, vol. 31(2), pages 172-180, April.
    18. David Forrest & Robert Simmons, 2008. "Sentiment in the betting market on Spanish football," Applied Economics, Taylor & Francis Journals, vol. 40(1), pages 119-126.
    19. Bernardo, Giovanni & Ruberti, Massimo & Verona, Roberto, 2015. "Testing semi-strong efficiency in a fixed odds betting market: Evidence from principal European football leagues," MPRA Paper 66414, University Library of Munich, Germany.
    20. Adrian Bell & Chris Brooks & David Matthews & Charles Sutcliffe, 2011. "Over the Moon or Sick as a Parrot? The Effects of Football Results on a Club's Share Price," Post-Print hal-00709557, HAL.
    21. Kai Fischer & Justus Haucap, 2022. "Home advantage in professional soccer and betting market efficiency: The role of spectator crowds," Kyklos, Wiley Blackwell, vol. 75(2), pages 294-316, May.
    22. David Winkelmann & Christian Deutscher & Marius Ötting, 2021. "Bookmakers’ mispricing of the disappeared home advantage in the German Bundesliga after the COVID-19 break," Applied Economics, Taylor & Francis Journals, vol. 53(26), pages 3054-3064, June.
    23. Bernardo, Giovanni & Ruberti, Massimo & Verona, Roberto, 2019. "Semi-strong inefficiency in the fixed odds betting market: Underestimating the positive impact of head coach replacement in the main European soccer leagues," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 239-246.
    24. Peter Dawson & Stephen Dobson & John Goddard & John Wilson, 2007. "Are football referees really biased and inconsistent?: evidence on the incidence of disciplinary sanction in the English Premier League," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(1), pages 231-250, January.
    25. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2008. "Prediction Accuracy of Different Market Structures – Bookmakers versus a Betting Exchange," Working Papers 0025, University of Zurich, Center for Research in Sports Administration (CRSA), revised 2009.
    26. Dominic Cortis & Steve Hales & Frank Bezzina, 2013. "Profiting On Inefficiencies In Betting Derivative Markets: The Case Of Uefa Euro 2012," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 7(1), pages 39-51.
    27. Giovanni Angelini & Luca De Angelis & Carl Singleton, 2019. "Informational efficiency and behaviour within in-play prediction markets," Economics Discussion Papers em-dp2019-20, Department of Economics, University of Reading, revised 01 Apr 2021.
    28. Bruno Deschamps, 2008. "Betting Markets Efficiency: Evidence From European Football," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 2(1), pages 66-76, May.
    29. Maschke Mario & Schmidt Ulrich, 2011. "Das Wettmonopol in Deutschland: Status quo und Reformansätze," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 60(1), pages 110-124, April.
    30. Michels, Rouven & Ötting, Marius & Langrock, Roland, 2023. "Bettors’ reaction to match dynamics: Evidence from in-game betting," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1118-1127.
    31. Pascal Flurin Meier & Raphael Flepp & Egon Franck, 2021. "Are sports betting markets semistrong efficient? Evidence from the COVID-19 pandemic," Working Papers 387, University of Zurich, Department of Business Administration (IBW).
    32. Goto, Shingo & Yamada, Toru, 2023. "What drives biased odds in sports betting markets: Bettors’ irrationality and the role of bookmakers," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 252-270.
    33. Gustav Axén & Dominic Cortis, 2020. "Hedging on Betting Markets," Risks, MDPI, vol. 8(3), pages 1-14, August.
    34. David Winkelmann & Marius Ötting & Christian Deutscher & Tomasz Makarewicz, 2024. "Are Betting Markets Inefficient? Evidence From Simulations and Real Data," Journal of Sports Economics, , vol. 25(1), pages 54-97, January.
    35. David Paton & Leighton Vaughan Williams, 2005. "Forecasting outcomes in spread betting markets: can bettors use 'quarbs' to beat the book?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 139-154.
    36. Philip W. S. Newall & Dominic Cortis, 2021. "Are Sports Bettors Biased toward Longshots, Favorites, or Both? A Literature Review," Risks, MDPI, vol. 9(1), pages 1-9, January.
    37. Franke, Maximilian, 2020. "Do market participants misprice lottery-type assets? Evidence from the European soccer betting market," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 1-18.
    38. David Forrest & Ian Mchale, 2007. "Anyone for Tennis (Betting)?," The European Journal of Finance, Taylor & Francis Journals, vol. 13(8), pages 751-768.
    39. Hassett, Kevin & Zhong, Weifeng, 2017. "On the Observational Implications of Knightian Uncertainty," MPRA Paper 82998, University Library of Munich, Germany.
    40. del Corral, Julio & Prieto-Rodríguez, Juan, 2010. "Are differences in ranks good predictors for Grand Slam tennis matches?," International Journal of Forecasting, Elsevier, vol. 26(3), pages 551-563, July.
    41. Fry, John & Hastings, Tom & Serbera, Jean-Philippe, 2017. "An analytically solvable model for soccer: further implications of the classical Poisson model," MPRA Paper 82458, University Library of Munich, Germany.
    42. Jiří LahviÄ ka, 2015. "Using Monte Carlo Simulation to Calculate Match Importance," Journal of Sports Economics, , vol. 16(4), pages 390-409, May.
    43. Bruno Deschamps & Olivier Gergaud, 2007. "Efficiency in Betting Markets: Evidence from English Football," Journal of Prediction Markets, University of Buckingham Press, vol. 1(1), pages 61-73, February.
    44. Jinook Jeong & Jee Young Kim & Yoon Jae Ro, 2017. "On the Efficiency of Racetrack Betting Market: A New Test for the Favorite-Longshot Bias," Working papers 2017rwp-106, Yonsei University, Yonsei Economics Research Institute.
    45. Ruud H. Koning & Renske Zijm, 2023. "Betting market efficiency and prediction in binary choice models," Annals of Operations Research, Springer, vol. 325(1), pages 135-148, June.
    46. Cecilia Nwigwe & S.A. Yusuf & V.O. Okoruwa, 2012. "Determinants of Demand for Gambling/Office Football Pool Betting in Ibadan, Oyo State, Nigeria," Journal of Gambling Business and Economics, University of Buckingham Press, vol. 6(2), pages 69-81, August.
    47. Lahvicka, Jiri, 2012. "Using Monte Carlo simulation to calculate match importance: the case of English Premier League," MPRA Paper 40998, University Library of Munich, Germany.
    48. Yu, Dian & Gao, Jianjun & Wang, Tongyao, 2022. "Betting market equilibrium with heterogeneous beliefs: A prospect theory-based model," European Journal of Operational Research, Elsevier, vol. 298(1), pages 137-151.
    49. Salvatore Caruso & Giuseppe Pernagallo, 2021. "On the efficiency of online soccer betting markets: a new methodology based on symbolic series," Economics Bulletin, AccessEcon, vol. 41(3), pages 1451-1460.
    50. Frank Daumann & Markus Breuer, 2011. "The Role of Information in Professional Football and the German Football Betting Market," Chapters, in: Wladimir Andreff (ed.), Contemporary Issues in Sports Economics, chapter 6, Edward Elgar Publishing.
    51. Nikolaos Vlastakis & George Dotsis & Raphael N. Markellos, 2009. "How efficient is the European football betting market? Evidence from arbitrage and trading strategies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 426-444.
    52. Hvattum, Lars Magnus & Arntzen, Halvard, 2010. "Using ELO ratings for match result prediction in association football," International Journal of Forecasting, Elsevier, vol. 26(3), pages 460-470, July.

  86. D. A. Peel & A. E. H. Speight, 1998. "The nonlinear time series properties of unemployment rates: some further evidence," Applied Economics, Taylor & Francis Journals, vol. 30(2), pages 287-294, February.

    Cited by:

    1. R. Inglesi-Lotz & A. Hakimi & A. Pouris, 2018. "Patents vs publications and R&D: three sides of the same coin? Panel Smooth Transition Regression (PSTR) for OECD and BRICS countries," Applied Economics, Taylor & Francis Journals, vol. 50(45), pages 4912-4923, September.
    2. 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.
    3. Matthews, Kent & Minford, Patrick & Naraidoo, Ruthira, 2006. "Vicious and Virtuous Circles - The Political Economy of Unemployment in Interwar UK and USA," Cardiff Economics Working Papers E2006/25, Cardiff University, Cardiff Business School, Economics Section, revised Nov 2006.
    4. Franchi, Massimo & Ordóñez, Javier, 2011. "Multiple equilibria in Spanish unemployment," Structural Change and Economic Dynamics, Elsevier, vol. 22(1), pages 71-80, February.
    5. Amaia Altuzarra, 2015. "Measuring Unemployment Persistence by Age and Gender," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 110-133, December.
    6. João Paulo Martin Faleiros & Denisard Cnéio de Oliveira Alves, 2006. "Não Linearidade Nos Ciclos De Negócios: Modelo Auto-Regressivo “Smooth Transition” Para O Índice Geral De Produção Industrial Brasileiro E Bens De Capital," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 10, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    7. Lee, Cheng-Feng, 2010. "Testing for unemployment hysteresis in nonlinear heterogeneous panels: International evidence," Economic Modelling, Elsevier, vol. 27(5), pages 1097-1102, September.
    8. Tsong Ching-Chuan, 2012. "Unit Root Testing with Stationary Covariates in the Framework of Asymmetric STAR Nonlinearity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-27, December.
    9. Hamdi, Helmi & Hakimi, Abdelaziz, 2019. "Does Liquidity Matter on Bank Profitability? Evidence from a Nonlinear Framework for a Large Sample," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 10(1), pages 13-26, January.
    10. Skalin, Joakim & Teräsvirta, Timo, 1998. "Modelling asymmetries and moving equilibria in unemployment rates," SSE/EFI Working Paper Series in Economics and Finance 262, Stockholm School of Economics, revised Jul 1999.
    11. Lee, Cheng-Feng & Hu, Te-Chung & Li, Ping-Cheng & Tsong, Ching-Chuan, 2013. "Asymmetric behavior of unemployment rates: Evidence from the quantile covariate unit root test," Japan and the World Economy, Elsevier, vol. 28(C), pages 72-84.
    12. Tarlok Singh, 2012. "Testing nonlinearities in economic growth in the OECD countries: an evidence from SETAR and STAR models," Applied Economics, Taylor & Francis Journals, vol. 44(30), pages 3887-3908, October.
    13. Sun, Yuying & Han, Ai & Hong, Yongmiao & Wang, Shouyang, 2018. "Threshold autoregressive models for interval-valued time series data," Journal of Econometrics, Elsevier, vol. 206(2), pages 414-446.
    14. Johansson, Martin, 2001. "TAR models and real exchange rates," Working Papers 2001:21, Lund University, Department of Economics.
    15. Manfred M. Fischer & Wolfgang Koller, 2001. "Testing for Non-Linear Dependence in Univariate Time Series: An Empirical Investigation of the Austrian Unemployment Rate," ERSA conference papers ersa01p233, European Regional Science Association.
    16. Tsong Ching-Chuan, 2012. "Unit Root Testing with Stationary Covariates in the Framework of Asymmetric STAR Nonlinearity," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 16(5), pages 1-27, December.
    17. Abdelaziz Hakimi & Rim Boussaada & Majdi Karmani, 2022. "Is the relationship between corruption, government stability and non‐performing loans non‐linear? A threshold analysis for the MENA region," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4383-4398, October.

  87. Peel, David & Davidson, James, 1998. "A non-linear error correction mechanism based on the bilinear model1," Economics Letters, Elsevier, vol. 58(2), pages 165-170, February.

    Cited by:

    1. Wojciech Charemza & Mikhail Lifshits & Svetlana Makarova, 2002. "A Simple Test for Unit Root Bilinearity," EUSP Department of Economics Working Paper Series 2002/01, European University at St. Petersburg, Department of Economics, revised 29 Mar 2002.
    2. Charemza W.W. & M. Lifshits & S. Makarova, 2002. "Conditional testing for unit-root bilinearity in financial time series: some theoretical and empirical results," Computing in Economics and Finance 2002 251, Society for Computational Economics.
    3. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2004. "On Markov error-correction models, with an application to stock prices and dividends," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 69-88.
    4. Svetlana Makarova & Wojciech Charemza, 2007. "Nonlinear Inflationary Persistence and Growth: Theory and Comparative Empirical Analysis," EcoMod2007 23900056, EcoMod.
    5. Robert M. deJong, 2000. "Nonlinear Minimization Estimators in the Presence of Cointegrating Relations," Econometric Society World Congress 2000 Contributed Papers 1651, Econometric Society.
    6. Bilgili, Faik, 2006. "Random walk, excess smoothness or excess sensitivity? Evidence from literature and an application for Turkish economy," MPRA Paper 24086, University Library of Munich, Germany, revised 14 Jul 2010.
    7. Mendonca, Gui Pedro, 2008. "Structural Breaks, Regime Change and Asymmetric Adjustment: A Short and Long Run Global Approach to the Output/Unemployment Dynamics," MPRA Paper 14648, University Library of Munich, Germany.
    8. Daniela Hristova, 2004. "Maximum Likelihood Estimation of a Unit Root Bilinear Model with an Application to Prices," Computing in Economics and Finance 2004 47, Society for Computational Economics.
    9. Gilles Dufrénot & Valérie Mignon, 2002. "La cointégration non linéaire : une note méthodologique," Économie et Prévision, Programme National Persée, vol. 155(4), pages 117-137.
    10. de Jong, Robert M., 2002. "Nonlinear minimization estimators in the presence of cointegrating relations," Journal of Econometrics, Elsevier, vol. 110(2), pages 241-259, October.
    11. Davidson, James, 2002. "Establishing conditions for the functional central limit theorem in nonlinear and semiparametric time series processes," Journal of Econometrics, Elsevier, vol. 106(2), pages 243-269, February.
    12. de Jong, Robert M., 2001. "Nonlinear estimation using estimated cointegrating relations," Journal of Econometrics, Elsevier, vol. 101(1), pages 109-122, March.
    13. Charemza, Wojciech & Makarova, Svetlana, 2009. "Nonlinear Inflationary Persistence and Growth: Theory and Empirical Comparative Analysis," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 6(2), pages 5-22, June.
    14. Jack R. Rogers, 2013. "Monetary Transmission to UK Retail Mortgage Rates before and after August 2007," Discussion Papers 1307, University of Exeter, Department of Economics.
    15. Maximo Camacho, 2002. "Nonlinear stochastic trends and economic fluctuations," Computing in Economics and Finance 2002 274, Society for Computational Economics.
    16. Camacho, Maximo, 2005. "Markov-switching stochastic trends and economic fluctuations," Journal of Economic Dynamics and Control, Elsevier, vol. 29(1-2), pages 135-158, January.
    17. Daiki Maki, 2013. "Detecting cointegration relationships under nonlinear models: Monte Carlo analysis and some applications," Empirical Economics, Springer, vol. 45(1), pages 605-625, August.
    18. Charemza, Wojciech & Makarova , Svetlana & Kharin, Yuriy & Malugin, Vladimir & Huryn , Aliaksandr & Raskina, Julia, 2006. "On Building Economic Development Patterns for Russia and Belorussia on the Basis of LAM-3 Econometric Model," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 2(2), pages 124-139.
    19. Cajueiro, Daniel O. & Tabak, Benjamin M., 2006. "Testing for rational bubbles in banking indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 365-376.

  88. Taylor, Mark P. & Peel, David A., 1998. "Periodically collapsing stock price bubbles: a robust test," Economics Letters, Elsevier, vol. 61(2), pages 221-228, November.

    Cited by:

    1. Refet Gurkaynak, 2005. "Econometric Tests of Asset Price Bubbles: Taking Stock," Finance 0504008, University Library of Munich, Germany.
    2. M. Frömmel & R. Kruse, 2011. "Testing for a rational bubble under long memory," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/722, Ghent University, Faculty of Economics and Business Administration.
    3. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.
    4. Nguyen, Quynh Nhu & Waters, George A., 2022. "Detecting periodically collapsing bubbles in the S&P 500," The Quarterly Review of Economics and Finance, Elsevier, vol. 83(C), pages 83-91.
    5. M. Kabir Hassan & Jung Suk-Yu, 2007. "Rational Speculative Bubbles: An Empirical Investigation of the Middle East and North African Stock Markets," NFI Working Papers 2007-WP-31, Indiana State University, Scott College of Business, Networks Financial Institute.
    6. James Payne & George Waters, 2007. "Have Equity REITs Experienced Periodically Collapsing Bubbles?," The Journal of Real Estate Finance and Economics, Springer, vol. 34(2), pages 207-224, February.
    7. Akanksha Jalan & Roman Matkovskyy & Valerio Potì, 2022. "Shall the winning last? A study of recent bubbles and persistence," Post-Print hal-03603161, HAL.
    8. Berhan ÇOBAN & Esin FİRUZAN, 2019. "Convergence and Cointegration Analysis under Structural Breaks: Application of Turkey Tourism Markets," Sosyoekonomi Journal, Sosyoekonomi Society, issue 27(39).
    9. Berlemann, Michael & Freese, Julia & Knoth, Sven, 2012. "Eyes Wide Shut? The U.S. House Market Bubble through the Lense of Statistical Process Control," Working Paper 124/2012, Helmut Schmidt University, Hamburg.
    10. Gaia Garino & Lucio Sarno, 2004. "Speculative Bubbles in U.K. House Prices: Some New Evidence," Southern Economic Journal, John Wiley & Sons, vol. 70(4), pages 777-795, April.
    11. Gallagher, Liam A. & Taylor, Mark P., 2000. "Measuring the temporary component of stock prices: robust multivariate analysis," Economics Letters, Elsevier, vol. 67(2), pages 193-200, May.
    12. Keith Anderson & Chris Brooks & Sotiris Tsolacos, 2009. "Testing for periodically collapsing rational speculative bubbles in US REITs," ICMA Centre Discussion Papers in Finance icma-dp2009-11, Henley Business School, University of Reading.
    13. Jose Eduardo de A. Ferreira, 2006. "Periodically Collapsing Rational Bubbles in Exchange Rates: A Markov-Switching Analysis for a Sample of Industrialised Markets," Studies in Economics 0604, School of Economics, University of Kent.
    14. Xie, Zixiong & Chen, Shyh-Wei & Wu, An-Chi, 2019. "Asymmetric adjustment, non-linearity and housing price bubbles: New international evidence," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    15. Chen, Shyh-Wei & Xie, Zixiong, 2017. "Asymmetric adjustment and smooth breaks in dividend yields: Evidence from international stock markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 339-354.
    16. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2015. "Cointegration of the prices of gold and silver: RALS-based evidence," Finance Research Letters, Elsevier, vol. 15(C), pages 133-137.
    17. Yoon, Gawon, 2012. "Some properties of periodically collapsing bubbles," Economic Modelling, Elsevier, vol. 29(2), pages 299-302.
    18. Bohl, Martin T., 2003. "Periodically collapsing bubbles in the US stock market?," International Review of Economics & Finance, Elsevier, vol. 12(3), pages 385-397.
    19. Kucher, Oleg & McCoskey, Suzanne, 2017. "The long-run relationship between precious metal prices and the business cycle," The Quarterly Review of Economics and Finance, Elsevier, vol. 65(C), pages 263-275.
    20. Herrera, Santiago & Perry, Guillermo, 2001. "Tropical bubbles : asset prices in Latin America, 1980-2001," Policy Research Working Paper Series 2724, The World Bank.
    21. Xie, Zixiong & Chen, Shyh-Wei, 2015. "Are there periodically collapsing bubbles in the REIT markets? New evidence from the US," Research in International Business and Finance, Elsevier, vol. 33(C), pages 17-31.
    22. Hassan, Mohammad Kabir & Yu, Jung-Suk & Rashid, Mamunur, 2015. "Rational Speculative Bubbles in the Frontier Emerging Stock Markets," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 49(2), pages 27-38.
    23. Gökhan Konat & Fatma Zeren, 2021. "Is Real Gross Domestic Product (GDP) Series Stationary in EU Countries? Evidence from the RALS-CIPS Test," Economics Bulletin, AccessEcon, vol. 41(3), pages 1813-1825.
    24. Nunes, Maurício Simiano & da Silva, Sérgio, 2009. "Bolhas Racionais no Índice Bovespa," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 63(2), June.
    25. Gunther Capelle-Blancard & Hélène Raymond-Feingold, 2004. "Empirical evidence on periodically collapsing stock price bubbles," Post-Print halshs-00265671, HAL.
    26. Hing Chan & Kai Woo, 2006. "Bubbles detection for inter-war European hyperinflation: A threshold cointegration approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 30(2), pages 169-185, June.
    27. Christian Pierdzioch & Renatas Kizys, 2013. "On the Linkages of the Stock Markets of the NAFTA Countries: Fundamentals or Speculative Bubbles?," International Economic Journal, Taylor & Francis Journals, vol. 27(3), pages 415-440, September.
    28. Mercedes Alda & Luis Ferruz, 2012. "Linear and nonlinear financial time series: evidence in a sample of pension funds in Spain and the United Kingdom," Applied Economics Letters, Taylor & Francis Journals, vol. 19(18), pages 1933-1937, December.
    29. Catherine Araujo Bonjean & Catherine Simonet, 2016. "Are grain markets in Niger driven by speculation?," Oxford Economic Papers, Oxford University Press, vol. 68(3), pages 714-735.
    30. Maximilian Brauers & Matthias Thomas & Joachim Zietz, 2014. "Are There Rational Bubbles in REITs? New Evidence from a Complex Systems Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 49(2), pages 165-184, August.
    31. Jahan-Parvar, Mohammad R. & Waters, George A., 2010. "Equity price bubbles in the Middle Eastern and North African Financial markets," Emerging Markets Review, Elsevier, vol. 11(1), pages 39-48, March.
    32. George A. Waters & Thuy Bui, 2022. "An empirical test for bubbles in cryptocurrency markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(1), pages 207-219, January.
    33. Tsangyao Chang & Chi-Chen Chiu & Chien-Chung Nieh, 2007. "Rational bubbles in the US stock market? Further evidence from a nonparametric cointegration test," Applied Economics Letters, Taylor & Francis Journals, vol. 14(7), pages 517-521.
    34. Waters, George A., 2008. "Unit root testing for bubbles: A resurrection?," Economics Letters, Elsevier, vol. 101(3), pages 279-281, December.
    35. Chen, Shyh-Wei & Hsu, Chi-Sheng & Xie, Zixong, 2016. "Are there periodically collapsing bubbles in the stock markets? New international evidence," Economic Modelling, Elsevier, vol. 52(PB), pages 442-451.
    36. Andrea J. Heuson & Mark C. Hutchinson & Alok Kumar, 2020. "Predicting hedge fund performance when fund returns are skewed," Financial Management, Financial Management Association International, vol. 49(4), pages 877-896, December.
    37. Ahmad, Mahyudin, 2012. "Duration dependence test for rational speculative bubble: the strength and weakness," MPRA Paper 42156, University Library of Munich, Germany.
    38. Sarno, Lucio & Taylor, Mark P., 1999. "Moral hazard, asset price bubbles, capital flows, and the East Asian crisis:: the first tests," Journal of International Money and Finance, Elsevier, vol. 18(4), pages 637-657, August.
    39. Gilbert V. Nartea & Muhammad A. Cheema & Kenneth R. Szulczyk, 2017. "Searching for rational bubble footprints in the Singaporean and Indonesian stock markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 41(3), pages 529-552, July.
    40. Catherine Araujo Bonjean & Catherine Simonet, 2012. "Are grain markets in Niger driven by speculation?," CERDI Working papers halshs-00626409, HAL.
    41. Vijay Kumar Vishwakarma & Ohannes George Paskelian, 2012. "Bubble In The Indian Real Estate Markets: Identification Using Regime-Switching Methodology," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 6(3), pages 27-40.
    42. Mohammad Ali Mani & Davood Zahedi, 2008. "Bubbles in Tehran Stock Exchange," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 13(2), pages 143-155, fall.
    43. Tran, Thi Bich Ngoc, 2017. "Speculative bubbles in emerging stock markets and macroeconomic factors: A new empirical evidence for Asia and Latin America," Research in International Business and Finance, Elsevier, vol. 42(C), pages 454-467.
    44. Jung-Suk Yu & Kabir Hassan, 2008. "Rational Speculative Bubbles: An Empirical Investigation of the Middle East and North African (MENA) Stock Markets," Working Papers 388, Economic Research Forum, revised 01 Jan 2008.
    45. Jung‐Suk Yu & M. Kabir Hassan, 2010. "Rational speculative bubbles in MENA stock markets," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 27(3), pages 247-264, August.
    46. Michael Berlemann & Julia Freese & Sven Knoth, 2020. "Dating the start of the US house price bubble: an application of statistical process control," Empirical Economics, Springer, vol. 58(5), pages 2287-2307, May.

  89. Batchelor, Roy & Peel, David A., 1998. "Rationality testing under asymmetric loss," Economics Letters, Elsevier, vol. 61(1), pages 49-54, October.

    Cited by:

    1. Christodoulakis, George A., 2005. "Financial forecasts in the presence of asymmetric loss aversion, skewness and excess kurtosis," Finance Research Letters, Elsevier, vol. 2(4), pages 227-233, December.
    2. Pierdzioch, Christian & Rülke, Jan-Christoph, 2013. "Do inflation targets anchor inflation expectations?," Economic Modelling, Elsevier, vol. 35(C), pages 214-223.
    3. Graham Elliott & Ivana Komunjer & Allan Timmermann, 2008. "Biases in Macroeconomic Forecasts: Irrationality or Asymmetric Loss?," Journal of the European Economic Association, MIT Press, vol. 6(1), pages 122-157, March.
    4. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2013. "Oil price forecasting under asymmetric loss," Applied Economics, Taylor & Francis Journals, vol. 45(17), pages 2371-2379, June.
    5. Yakup ARI & Alexandros PAPADOPOULOS, 2016. "Bayesian Estimation Of The Parameters Of The Arch Model With Normal Innovations Using Lindley’S Approximation," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(4), pages 217-234.
    6. Ulrich Fritsche & Artur Tarassow, 2017. "Vergleichende Evaluation der Konjunkturprognosen des Instituts für Makroökonomie und Konjunkturforschung an der Hans-Böckler-Stiftung für den Zeitraum 2005-2014," IMK Studies 54-2017, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    7. Timmermann, Allan & Elliott, Graham & Komunjer, Ivana, 2003. "Estimating Loss Function Parameters," CEPR Discussion Papers 3821, C.E.P.R. Discussion Papers.
    8. Anatolyev, Stanislav, 2009. "Dynamic modeling under linear-exponential loss," Economic Modelling, Elsevier, vol. 26(1), pages 82-89, January.
    9. Lawrence, Michael & O'Connor, Marcus, 2005. "Judgmental forecasting in the presence of loss functions," International Journal of Forecasting, Elsevier, vol. 21(1), pages 3-14.
    10. Timmermann, Allan & Elliott, Graham, 2007. "Economic Forecasting," CEPR Discussion Papers 6158, C.E.P.R. Discussion Papers.
    11. Rohloff, Sebastian & Pierdzioch, Christian & Risse, Marian, 2014. "Fluctuations of the Real Exchange Rate, Real Interest Rates, and the Dynamics of the Price of Gold in a Small Open Economy," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100429, Verein für Socialpolitik / German Economic Association.
    12. Conrad, Christian, 2017. "When does information on forecast variance improve the performance of a combined forecast?," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168200, Verein für Socialpolitik / German Economic Association.
    13. Rülke, Jan-Christoph & Pierdzioch, Christian, 2014. "Government Forecasts of Budget Balances Under Asymmetric Loss: International Evidence," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100317, Verein für Socialpolitik / German Economic Association.
    14. Mamatzakis, E. & Koutsomanoli-Filippaki, A., 2014. "Testing the rationality of DOE's energy price forecasts under asymmetric loss preferences," Energy Policy, Elsevier, vol. 68(C), pages 567-575.
    15. Higgins, Matthew L. & Mishra, Sagarika, 2012. "State dependent asymmetric loss and the consensus forecast of real U.S. GDP growth," Working Papers fe_2012_10, Deakin University, Department of Economics.
    16. G. A. Christodoulakis & E. C. Mamatzakis, 2009. "Assessing the prudence of economic forecasts in the EU," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 583-606.
    17. Siddhartha S. Bora & Ani L. Katchova & Todd H. Kuethe, 2021. "The Rationality of USDA Forecasts under Multivariate Asymmetric Loss," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1006-1033, May.
    18. Joerg Doepke & Ulrich Fritsche & Boriss Siliverstovs, 2009. "Evaluating German business cycle forecasts under an asymmetric loss function," KOF Working papers 09-237, KOF Swiss Economic Institute, ETH Zurich.
    19. Carmona, Carlos Capistran, 2005. "Bias in Federal Reserve Inflation Forecasts: Is the Federal Reserve Irrational or Just Cautious?," University of California at San Diego, Economics Working Paper Series qt6v28v0b6, Department of Economics, UC San Diego.
    20. Tsuchiya, Yoichi, 2016. "Assessing macroeconomic forecasts for Japan under an asymmetric loss function," International Journal of Forecasting, Elsevier, vol. 32(2), pages 233-242.
    21. Lena Dräger & Jan-Oliver Menz & Ulrich Fritsche, 2011. "Perceived Inflation under Loss Aversion," Macroeconomics and Finance Series 201105, University of Hamburg, Department of Socioeconomics.
    22. Tsuchiya, Yoichi, 2016. "Asymmetric loss and rationality of Chinese renminbi forecasts: An implication for the trade between China and the US," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 116-127.
    23. Tsuchiya, Yoichi, 2012. "Evaluating Japanese corporate executives’ forecasts under an asymmetric loss function," Economics Letters, Elsevier, vol. 116(3), pages 601-603.
    24. Komunjer, Ivana & OWYANG, MICHAEL, 2007. "Multivariate Forecast Evaluation And Rationality Testing," University of California at San Diego, Economics Working Paper Series qt81w8m5sf, Department of Economics, UC San Diego.
    25. Pesaran, M. Hashem & Weale, Martin, 2006. "Survey Expectations," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 14, pages 715-776, Elsevier.
    26. Goodwin, Paul, 2005. "Providing support for decisions based on time series information under conditions of asymmetric loss," European Journal of Operational Research, Elsevier, vol. 163(2), pages 388-402, June.
    27. Patton, Andrew J. & Timmermann, Allan, 2007. "Properties of optimal forecasts under asymmetric loss and nonlinearity," Journal of Econometrics, Elsevier, vol. 140(2), pages 884-918, October.
    28. George A. Christodoulakis & Emmanuel C. Mamatzakis, 2008. "An assessment of the EU growth forecasts under asymmetric preferences," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 483-492.
    29. Pierdzioch, Christian & Risse, Marian & Rohloff, Sebastian, 2014. "The international business cycle and gold-price fluctuations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 292-305.
    30. Nazaria Solferino & Robert Waldmann, 2010. "Predicting the signs of forecast errors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(5), pages 476-485.
    31. Young Bin Ahn & Yoichi Tsuchiya, 2016. "Directional analysis of consumers’ forecasts of inflation in a small open economy: evidence from South Korea," Applied Economics, Taylor & Francis Journals, vol. 48(10), pages 854-864, February.
    32. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2012. "On the loss function of the Bank of Canada: A note," Economics Letters, Elsevier, vol. 115(2), pages 155-159.
    33. Christian Pierdzioch & Jan-Christoph Rülke & Georg Stadtmann, 2012. "Exchange-rate forecasts and asymmetric loss: empirical evidence for the yen/dollar exchange rate," Applied Economics Letters, Taylor & Francis Journals, vol. 19(18), pages 1759-1763, December.
    34. Krol, Robert, 2013. "Evaluating state revenue forecasting under a flexible loss function," International Journal of Forecasting, Elsevier, vol. 29(2), pages 282-289.
    35. Bürgi, Constantin, 2017. "Bias, rationality and asymmetric loss functions," Economics Letters, Elsevier, vol. 154(C), pages 113-116.
    36. Carl Bonham & Richard Cohen & Shigeyuki Abe, 2006. "The Rationality and Heterogeneity of Survey Forecasts of the Yen-Dollar Exchange Rate: A Reexamination," Working Papers 200611, University of Hawaii at Manoa, Department of Economics.
    37. MacDonald, Ronald & Nagayasu, Jun, 2015. "Currency forecast errors and carry trades at times of low interest rates: Evidence from survey data on the yen/dollar exchange rate," Journal of International Money and Finance, Elsevier, vol. 53(C), pages 1-19.
    38. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2013. "A note on forecasting the prices of gold and silver: Asymmetric loss and forecast rationality," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(3), pages 294-301.
    39. Ulu, Yasemin, 2013. "Multivariate test for forecast rationality under asymmetric loss functions: Recent evidence from MMS survey of inflation–output forecasts," Economics Letters, Elsevier, vol. 119(2), pages 168-171.
    40. Anatolyev, Stanislav, 2006. "Kernel estimation under linear-exponential loss," Economics Letters, Elsevier, vol. 91(1), pages 39-43, April.

  90. Peel, David A. & Taylor, Mark P., 1998. "The slope of the yield curve and real economic activity: tracing the transmission mechanism," Economics Letters, Elsevier, vol. 59(3), pages 353-360, June.

    Cited by:

    1. Sedillot, F., 1999. "La pente des taux contient-elle de l'information sur l'activite economique future?," Working papers 67, Banque de France.
    2. Boukhatem, Jamel & Sekouhi, Hayfa, 2017. "What does the bond yield curve tell us about Tunisian economic activity?," Research in International Business and Finance, Elsevier, vol. 42(C), pages 295-303.
    3. Jardet, Caroline, 2004. "Why did the term structure of interest rates lose its predictive power?," Economic Modelling, Elsevier, vol. 21(3), pages 509-524, May.
    4. Evgenidis, Anastasios & Papadamou, Stephanos & Siriopoulos, Costas, 2020. "The yield spread's ability to forecast economic activity: What have we learned after 30 years of studies?," Journal of Business Research, Elsevier, vol. 106(C), pages 221-232.
    5. Georgopoulos, George & Hejazi, Walid, 2009. "Financial structure and the heterogeneous impact of monetary policy across industries," Journal of Economics and Business, Elsevier, vol. 61(1), pages 1-33.
    6. Muellbauer, John & Nunziata, Luca, 2001. "Credit, the Stock Market and Oil: Forecasting US GDP," CEPR Discussion Papers 2906, C.E.P.R. Discussion Papers.
    7. Omay, Tolga, 2008. "The Term Structure of Interest Rate as a Predictor of Inflation and Real Economic Activity: Nonlinear Evidence from Turkey," MPRA Paper 28572, University Library of Munich, Germany.
    8. N. Groenewold, 2000. "Financial Deregulation and the Relationship Between the Economy and the Share Market in Australia," Economics Discussion / Working Papers 00-10, The University of Western Australia, Department of Economics.
    9. James Kung, 2008. "Dynamic strategies for fixed-income investment," Applied Economics, Taylor & Francis Journals, vol. 40(10), pages 1341-1354.
    10. Liam A. Gallagher & Mark P. Taylor, 2002. "Permanent and Temporary Components of Stock Prices: Evidence from Assessing Macroeconomic Shocks," Southern Economic Journal, John Wiley & Sons, vol. 69(2), pages 345-362, October.
    11. Walid Hejazi, 2000. "Yield spreads as predictors of industrial production: expectations on short rates or term premia?," Applied Economics, Taylor & Francis Journals, vol. 32(8), pages 945-951.
    12. Mr. Rajan Goyal & Mr. K. Kanagasabapathy, 2002. "Yield Spread as a Leading Indicator of Real Economic Activity: An Empirical Exercise on the Indian Economy," IMF Working Papers 2002/091, International Monetary Fund.
    13. Arif Dar & Amaresh Samantaraya & Firdous Shah, 2014. "The predictive power of yield spread: evidence from wavelet analysis," Empirical Economics, Springer, vol. 46(3), pages 887-901, May.
    14. 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.
    15. Mark Thompson, 2007. "Are adjustments in the default risk premium asymmetric?," Applied Economics, Taylor & Francis Journals, vol. 39(21), pages 2693-2698.
    16. Idilbi-Bayaa, Yasmeen & Qadan, Mahmoud, 2022. "What the current yield curve says, and what the future prices of energy do," Resources Policy, Elsevier, vol. 75(C).

  91. Chappell, David & Peel, David A., 1998. "A note on some properties of the ESTAR model," Economics Letters, Elsevier, vol. 60(3), pages 311-315, September.

    Cited by:

    1. Matteo Lanzafame, 2010. "The nature of regional unemployment in Italy," Empirical Economics, Springer, vol. 39(3), pages 877-895, December.
    2. Tolga Omay & Muhammad Shahbaz & Chris Stewart, 2021. "Is there really hysteresis in the OECD unemployment rates? New evidence using a Fourier panel unit root test," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(4), pages 875-901, November.
    3. Chang, Ming-Jen & Su, Che-Yi, 2014. "Hysteresis versus natural rate in Taiwan's unemployment: Evidence from the educational attainment categories," Economic Modelling, Elsevier, vol. 43(C), pages 293-304.
    4. D. A. Peel & I. A. Venetis, 2003. "Purchasing power parity over two centuries: trends and nonlinearity," Applied Economics, Taylor & Francis Journals, vol. 35(5), pages 609-617.

  92. D. A. Peel & A. E. H. Speight, 1998. "Threshold nonlinearities in output: some international evidence," Applied Economics, Taylor & Francis Journals, vol. 30(3), pages 323-333.

    Cited by:

    1. Luis Eduardo Arango & Luis Fernando Melo, 2001. "Expansions and Contractions in Some Latin American Countries: A View Throught Non- Linear Models," Borradores de Economia 2691, Banco de la Republica.
    2. Almeida, Pedro Cameira de & Fuinhas, José Alberto & Marques, António Cardoso, 2011. "A assimetria dos ciclos económicos: Evidência internacional usando o teste triples [The asymmetry of business cycles: International evidence using triples test]," MPRA Paper 35208, University Library of Munich, Germany.
    3. Luis Arango & Andres Gonzalez, 2001. "Some evidence of smooth transition nonlinearity in Colombian inflation," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 155-162.
    4. De Gooijer, Jan G. & Vidiella-i-Anguera, Antoni, 2004. "Forecasting threshold cointegrated systems," International Journal of Forecasting, Elsevier, vol. 20(2), pages 237-253.
    5. Marian Vavra, 2012. "A Note on the Finite Sample Properties of the CLS Method of TAR Models," Birkbeck Working Papers in Economics and Finance 1206, Birkbeck, Department of Economics, Mathematics & Statistics.
    6. R. Inglesi-Lotz & A. Hakimi & A. Pouris, 2018. "Patents vs publications and R&D: three sides of the same coin? Panel Smooth Transition Regression (PSTR) for OECD and BRICS countries," Applied Economics, Taylor & Francis Journals, vol. 50(45), pages 4912-4923, September.
    7. 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.
    8. Arango, Luis E. & Melo, Luis F., 2006. "Expansions and contractions in Brazil, Colombia and Mexico: A view through nonlinear models," Journal of Development Economics, Elsevier, vol. 80(2), pages 501-517, August.
    9. Cai, Yuzhi, 2007. "A quantile approach to US GNP," Economic Modelling, Elsevier, vol. 24(6), pages 969-979, November.
    10. Paap, R. & van Dijk, H.K., 2002. "Bayes estimates of Markov trends in possibly cointegrated series: an application to US consumption and income," Econometric Institute Research Papers EI 2002-42, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Hamdi, Helmi & Hakimi, Abdelaziz, 2019. "Does Liquidity Matter on Bank Profitability? Evidence from a Nonlinear Framework for a Large Sample," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 10(1), pages 13-26, January.
    12. Hui Feng & Jia Liu, 2002. "A SETAR Model for Canadian GDP: Non-Linearities and Forecast Comparisons," Econometrics Working Papers 0206, Department of Economics, University of Victoria.
    13. Beatriz C. Galvao, Ana, 2002. "Can non-linear time series models generate US business cycle asymmetric shape?," Economics Letters, Elsevier, vol. 77(2), pages 187-194, October.
    14. Luis Eduardo Arango & Fernando Arias & Luz Adriana Flórez, 2008. "Trends, Fluctuations, and Determinants of Commodity Prices," Borradores de Economia 521, Banco de la Republica de Colombia.

  93. Peel, David A & Speight, Alan E H, 1997. "Non-linearities in East European Black-Market Exchange Rates," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(1), pages 39-57, January.

    Cited by:

    1. G. Dufrenot & E. Grimaud & E. Latil & V. Mignon, 2003. "Real exchange rate misalignment in Hungary: a fractionally integrated threshold model," THEMA Working Papers 2003-07, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    2. Speight, Alan E. H. & McMillan, David G., 2001. "Volatility spillovers in East European black-market exchange rates," Journal of International Money and Finance, Elsevier, vol. 20(3), pages 367-378, June.
    3. Meng, Xiangcai & Huang, Chia-Hsing, 2016. "Nonlinear models for the sources of real effective exchange rate fluctuations: Evidence from the Republic of Korea," Japan and the World Economy, Elsevier, vol. 40(C), pages 21-30.
    4. Srđan Marinković, 2014. "Non-Parametric Sign Test And Paired Samples Test Of Effectiveness Of Official Fx Intervention," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 59(202), pages 107-130, July – Se.
    5. McKenzie, Andrew M. & Holt, Matthew T., 1998. "Market Efficiency In Agricultural Futures Markets," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20933, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Nektarios Aslanidis & George Kouretas, 2003. "Testing for two-regime threshold cointegration in the parallel and official markets for foreign currency in Greece," Working Papers 0311, University of Crete, Department of Economics.
    7. Gilles DUFRENOT & Elisabeth GRIMAUD & Eug=E9nie LATIL & Val=E9rie MIGNON, 2003. "Real exhange rate misalignment in Hungary: a fractionally integrated=20 threshold model," Econometrics 0309001, University Library of Munich, Germany.
    8. Taylor, Mark, 2003. "Is Official Exchange Rate Intervention Effective?," CEPR Discussion Papers 3758, C.E.P.R. Discussion Papers.
    9. Alan Speight & David McMillan, 2001. "Cointegration and predictability in prereform east European black-market exchange rates," Applied Economics Letters, Taylor & Francis Journals, vol. 8(12), pages 755-759.

  94. Panos Michael & David A. Peel & Mark P. Taylor, 1997. "Ajustement non linéaire vers le taux de change d'équilibre à long terme. Le modèle monétaire revisité," Revue Économique, Programme National Persée, vol. 48(3), pages 653-659.

    Cited by:

    1. Jawadi Fredj & Koubaa Yousra, 2004. "Threshold Cointegration between Stock Returns : An application of STECM Models," Econometrics 0412001, University Library of Munich, Germany.
    2. 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.

  95. Michael, Panos & Nobay, A Robert & Peel, David A, 1997. "Transactions Costs and Nonlinear Adjustment in Real Exchange Rates: An Empirical Investigation," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 862-879, August.

    Cited by:

    1. Nikolaou, Kleopatra, 2008. "The behaviour of the real exchange rate: Evidence from regression quantiles," Journal of Banking & Finance, Elsevier, vol. 32(5), pages 664-679, May.
    2. Mohsen Bahmani-Oskooee & Ali M. Kutan & Su Zhou, 2009. "A century of PPP: supportive results from nonlinear unit root tests," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 11(1), pages 19-27.
    3. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2011. "Bayesian Inference in the Time Varying Cointegration Model," Working Papers 1121, University of Strathclyde Business School, Department of Economics.
    4. Galvao Jr., Antonio F., 2009. "Unit root quantile autoregression testing using covariates," Journal of Econometrics, Elsevier, vol. 152(2), pages 165-178, October.
    5. Ivan Paya & David A. Peel, 2004. "Nonlinear Ppp Under The Gold Standard," Working Papers. Serie AD 2004-24, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    6. McMillan, David G., 2009. "The confusing time-series behaviour of real exchange rates: Are asymmetries important?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 692-711, October.
    7. Fredj Jawadi & Georges Prat, 2012. "Arbitrage costs and nonlinear adjustment in the G7 stock markets," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1561-1582, April.
    8. Kitamura, Yoshihiro, 2017. "Simple measures of market efficiency: A study in foreign exchange markets," Japan and the World Economy, Elsevier, vol. 41(C), pages 1-16.
    9. Tolga Omay & Aysegul Corakci & Esra Hasdemir, 2021. "High Persistence and Nonlinear Behavior in Financial Variables: A More Powerful Unit Root Testing in the ESTAR Framework," Mathematics, MDPI, vol. 9(20), pages 1-21, October.
    10. Ivan Paya & David Peel, 2005. "The process followed by PPP data. On the properties of linearity tests," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2515-2522.
    11. Banaian King & Lo Ming Chien, 2006. "Indexing Speculative Pressure on an Exchange Rate Regime: A Case Study of Macedonia," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(1), pages 1-21, March.
    12. Chen, Show-Lin & Wu, Jyh-Lin, 2000. "A Re-Examination of Purchasing Power Parity in Japan and Taiwan," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 271-284, April.
    13. Levy Yeyati, Eduardo & Schmukler, Sergio L. & Van Horen, Neeltje, 2006. "International financial integration through the law of one price," Policy Research Working Paper Series 3897, The World Bank.
    14. Ters, Kristyna & Urban, Jörg, 2020. "Estimating unknown arbitrage costs: Evidence from a 3-regime threshold vector error correction model," Journal of Financial Markets, Elsevier, vol. 47(C).
    15. Frédérique Bec & Songlin Zeng, 2013. "Are Southeast Asian Real Exchange Rates Mean Reverting?," Post-Print hal-02979368, HAL.
    16. Juan Carlos Cuestas, 2007. "Purchasing Power Parity In Central And Eastern European Countries: An Analysis Of Unit Roots And Nonlinearities," Working Papers. Serie AD 2007-22, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    17. Frédérique Bec & Mélika Ben Salem & Ronald MacDonald, 2006. "Real exchange rates and real interest rates : a nonlinear perspective," Recherches économiques de Louvain, De Boeck Université, vol. 72(2), pages 177-194.
    18. Juan Carlos Cuestas & Dean Garratt, 2008. "Is real GDP per capita a stationary process? Smooth transitions, nonlinear trends and unit root testing," NBS Discussion Papers in Economics 2008/12, Economics, Nottingham Business School, Nottingham Trent University.
    19. Luciana Juvenal & Mark P. Taylor, 2007. "The Law of One Price: Nonlinearities in Sectoral Real Exchange Rate Dynamics," Money Macro and Finance (MMF) Research Group Conference 2006 80, Money Macro and Finance Research Group.
    20. Nikolaos Giannellis & Athanasios Papadopoulos, 2007. "Estimating the Equilibrium Effective Exchange Rate for Potential EMU Members," Open Economies Review, Springer, vol. 18(3), pages 307-326, July.
    21. George Kapetanios & Yongcheol Shin & Andy Snell, 2003. "Testing for Cointegration in Nonlinear STAR Error Correction Models," Working Papers 497, Queen Mary University of London, School of Economics and Finance.
    22. Rogoff, Kenneth, 1999. "Monetary Models of Dollar/Yen/Euro Nominal Exchange Rates: Dead or Undead?," Economic Journal, Royal Economic Society, vol. 109(459), pages 655-659, November.
    23. Bertram, Philip & Ma, Jun & Sibbertsen, Philipp, 2015. "Real exchange rates and economic fundamentals: An investigation based on a Markov-STAR model," Hannover Economic Papers (HEP) dp-565, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    24. Alfred A. Haug & Syed A. Basher, 2007. "Linear or Nonlinear Cointegration in the Purchasing Power Parity Relationship?," Working Papers 0712, University of Otago, Department of Economics, revised Aug 2007.
    25. Greg Leonard & Alan C. Stockman, 2002. "Current Accounts and Exchange Rates: A New Look at the Evidence," Review of International Economics, Wiley Blackwell, vol. 10(3), pages 483-496, August.
    26. Pippenger, John, 2022. "The Law Of One Price, Borders And Purchasing Power Parity," University of California at Santa Barbara, Economics Working Paper Series qt5b17d1dr, Department of Economics, UC Santa Barbara.
    27. Kim, Hyeongwoo & Ryu, Deockhyun, 2015. "A nonparametric study of real exchange rate persistence over a century," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 406-418.
    28. Mario J. Crucini & Mototsugu Shintani & Takayuki Tsuruga, 2014. "Noisy information, distance and law of one price dynamics across US cities," Globalization Institute Working Papers 216, Federal Reserve Bank of Dallas.
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    433. Chi Lau & Ka Fung & Lee Pugalis, 2014. "Is health care expenditure across Europe converging? Findings from the application of a nonlinear panel unit root test," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 137-156, December.

  96. David Byers & James Davidson & David Peel, 1997. "Modelling Political Popularity: an Analysis of Long‐range Dependence in Opinion Poll Series," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 160(3), pages 471-490, September.

    Cited by:

    1. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michael Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," CREATES Research Papers 2014-23, Department of Economics and Business Economics, Aarhus University.
    2. McHale, I.G. & Peel, D.A., 2010. "Habit and long memory in UK lottery sales," Economics Letters, Elsevier, vol. 109(1), pages 7-10, October.
    3. Sandro Brusco & Jaideep Roy, 2015. "Cycles in Public Opinion and the Dynamics of Stable Party Systems," Department of Economics Working Papers 15-04, Stony Brook University, Department of Economics.
    4. Davidson, James & Hashimzade, Nigar, 2009. "Type I and type II fractional Brownian motions: A reconsideration," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2089-2106, April.
    5. David Byers & James Davidson & David Peel, 2007. "The long memory model of political support: some further results," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2547-2552.
    6. Laura Mayoral, 2005. "The persistence of inflation in OECD countries: A fractionally integrated approach," Economics Working Papers 958, Department of Economics and Business, Universitat Pompeu Fabra, revised Oct 2005.
    7. Xenia Frei & Sebastian Langer & Robert Lehmann & Felix Roesel, 2020. "Electoral Externalities in Federations – Evidence from German Opinion Polls," Kyklos, Wiley Blackwell, vol. 73(2), pages 227-252, May.
    8. Søren Johansen & Morten Ørregaard Nielsen, 2012. "The role of initial values in nonstationary fractional time series models," CREATES Research Papers 2012-47, Department of Economics and Business Economics, Aarhus University.
    9. Davidson, James & Sibbertsen, Philipp, 2002. "Generating schemes for long memory processes: Regimes, aggregation and linearity," Technical Reports 2002,46, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    10. Hassler, Uwe & Hosseinkouchack, Mehdi, 2014. "Effect of the order of fractional integration on impulse responses," Economics Letters, Elsevier, vol. 125(2), pages 311-314.
    11. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2016. "Forecasting daily political opinion polls using the fractionally cointegrated VAR model," CREATES Research Papers 2016-30, Department of Economics and Business Economics, Aarhus University.
    12. Andrea Monticini & Francesco Ravazzolo, 2014. "Forecasting the intraday market price of money," DISCE - Working Papers del Dipartimento di Economia e Finanza def010, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    13. Kirman Alan & Teyssière Gilles, 2002. "Microeconomic Models for Long Memory in the Volatility of Financial Time Series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(4), pages 1-23, January.
    14. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    15. Davidson James E. H. & Peel David A & Byers J. David, 2006. "Support for Governments and Leaders: Fractional Cointegration Analysis of Poll Evidence from the UK, 1960-2004," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(1), pages 1-23, March.
    16. Laura Mayoral & Juan J. Dolado & Jesús Gonzalo, 2003. "Long-range dependence in Spanish political opinion poll series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 137-155.
    17. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    18. D Byers & D Peel & D A Thomas, 2005. "Habit, aggregation and long memory: evidence from television audience data," Working Papers 567397, Lancaster University Management School, Economics Department.
    19. Haldrup, Niels & Nielsen, Morten Orregaard, 2007. "Estimation of fractional integration in the presence of data noise," Computational Statistics & Data Analysis, Elsevier, vol. 51(6), pages 3100-3114, March.
    20. Roy Cerqueti & Giulia Rotundo, 2015. "A review of aggregation techniques for agent-based models: understanding the presence of long-term memory," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1693-1717, July.
    21. Morten Ø. Nielsen & S Johansen, 2012. "The Role Of Initial Values In Conditional Sum-of-squares Estimation Of Nonstationary Fractional Time Series Models," Working Paper 1300, Economics Department, Queen's University.
    22. Petar Sorić & Ivana Lolić & Marina Matošec, 2023. "The persistence of economic sentiment: a trip down memory lane," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(2), pages 371-395, April.
    23. Goodell, John W. & McGroarty, Frank & Urquhart, Andrew, 2015. "Political uncertainty and the 2012 US presidential election: A cointegration study of prediction markets, polls and a stand-out expert," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 162-171.

  97. David Peel & Dennis Thomas, 1997. "Handicaps, outcome uncertainty and attendance demand," Applied Economics Letters, Taylor & Francis Journals, vol. 4(9), pages 567-570.

    Cited by:

    1. Babatunde Buraimo, 2014. "Spectator demand and attendances in English league football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 4, pages 60-72, Edward Elgar Publishing.
    2. Kevin Alavy & Alison Gaskell & Stephanie Leach & Stefan Szymanski, 2006. "On the Edge of Your Seat: Demand for Football on Television and the Uncertainty of Outcome Hypothesis," Working Papers 0631, International Association of Sports Economists;North American Association of Sports Economists.
    3. Dennis Coates & Brad R. Humphreys & Li Zhou, 2014. "Reference-Dependent Preferences, Loss Aversion, And Live Game Attendance," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 959-973, July.
    4. Scarf, Philip & Yusof, Muhammad Mat & Bilbao, Mark, 2009. "A numerical study of designs for sporting contests," European Journal of Operational Research, Elsevier, vol. 198(1), pages 190-198, October.
    5. Coates, Dennis & Humphreys, Brad & Zhou, Li, 2012. "Outcome Uncertainty, Reference-Dependent Preferences and Live Game Attendance," Working Papers 2012-7, University of Alberta, Department of Economics.
    6. Gürtler, Oliver, 2005. "A rationale for the coexistence of central and decentral marketing in team sports," Bonn Econ Discussion Papers 4/2005, University of Bonn, Bonn Graduate School of Economics (BGSE).
    7. Jaume García & Plácido Rodríguez, 2002. "The Determinants of Football Match Attendance Revisited," Journal of Sports Economics, , vol. 3(1), pages 18-38, February.
    8. Scott Tainsky & Jie Xu & Yilun Zhou, 2014. "Qualifying the Game Uncertainty Effect," Journal of Sports Economics, , vol. 15(3), pages 219-236, June.
    9. Alexander John Bond & Francesco Addesa, 2020. "Competitive Intensity, Fans’ Expectations, and Match-Day Tickets Sold in the Italian Football Serie A, 2012-2015," Journal of Sports Economics, , vol. 21(1), pages 20-43, January.
    10. A Jessop, 2006. "A measure of competitiveness in leagues: a network approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(12), pages 1425-1434, December.
    11. Petr A. Parshakov & Kseniya O. Baydina, 2017. "Brands or Uncertainty? An Empirical Test of the Uncertainty of Outcome Hypothesis in Russian Football," HSE Working papers WP BRP 163/EC/2017, National Research University Higher School of Economics.
    12. Budzinski, Oliver & Feddersen, Arne, 2015. "Grundlagen der Sportnachfrage: Theorie und Empirie der Einflussfaktoren auf die Zuschauernachfrage," Ilmenau Economics Discussion Papers 94, Ilmenau University of Technology, Institute of Economics.
    13. Adam Cox, 2018. "Spectator Demand, Uncertainty of Results, and Public Interest," Journal of Sports Economics, , vol. 19(1), pages 3-30, January.
    14. Moonsup Hyun & Gareth J. Jones & Wonsok (Frank) Jee & Jeremy S. Jordan & James Du & Yohan Lee, 2023. "Revisiting the Uncertainty of Outcome Hypothesis and the Loss Aversion Hypothesis in the National Basketball Association: Adding a Predicted Game Quality Perspective," Journal of Sports Economics, , vol. 24(8), pages 1076-1096, December.
    15. Stefan Szymanski, 2003. "The Economic Design of Sporting Contests," Journal of Economic Literature, American Economic Association, vol. 41(4), pages 1137-1187, December.
    16. Alistair Dawson & Paul Downward, 2005. "Measuring Short-Run Uncertainty of Outcome in Sporting Leagues," Journal of Sports Economics, , vol. 6(3), pages 303-313, August.
    17. Bruce Morley & Dennis Thomas, 2007. "Attendance demand and core support: evidence from limited-overs cricket," Applied Economics, Taylor & Francis Journals, vol. 39(16), pages 2085-2097.
    18. Buraimo, Babatunde & Simmons, Rob, 2009. "A tale of two audiences: Spectators, television viewers and outcome uncertainty in Spanish football," Journal of Economics and Business, Elsevier, vol. 61(4), pages 326-338, July.
    19. Jeffery Borland, 2003. "Demand for Sport," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(4), pages 478-502, Winter.
    20. Yan Feng & Jinbao Wang & Yeujun Yoon, 2020. "Online Webcast Demand vs. Offline Spectating Channel Demand (Stadium and TV) in the Professional Sports League," Sustainability, MDPI, vol. 12(23), pages 1-18, November.
    21. Jason P. Berkowitz & Craig A. Depken II & Dennis P. Wilson, 2011. "When Going in Circles is Going Backward: Outcome Uncertainty in NASCAR," Journal of Sports Economics, , vol. 12(3), pages 253-283, June.

  98. Byers, J D & Peel, D A, 1996. "Long-Memory Risk Premia in Exchange Rates," The Manchester School of Economic & Social Studies, University of Manchester, vol. 64(4), pages 421-438, December.

    Cited by:

    1. Sekioua, Sofiane H., 2006. "Nonlinear adjustment in the forward premium: evidence from a threshold unit root test," International Review of Economics & Finance, Elsevier, vol. 15(2), pages 164-183.
    2. Mulligan, Robert F., 2004. "Fractal analysis of highly volatile markets: an application to technology equities," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(1), pages 155-179, February.
    3. Mulligan, Robert F. & Lombardo, Gary A., 2004. "Maritime businesses: volatile stock prices and market valuation inefficiencies," The Quarterly Review of Economics and Finance, Elsevier, vol. 44(2), pages 321-336, May.
    4. Mulligan, Robert F. & Koppl, Roger, 2011. "Monetary policy regimes in macroeconomic data: An application of fractal analysis," The Quarterly Review of Economics and Finance, Elsevier, vol. 51(2), pages 201-211, May.
    5. Robert Mulligan, 2000. "A fractal analysis of foreign exchange markets," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 6(1), pages 33-49, February.
    6. Sofiane Sekioua, 2004. "The forward unbiasedness hypothesis and the forward premium: a nonlinear analysis," Money Macro and Finance (MMF) Research Group Conference 2003 85, Money Macro and Finance Research Group.

  99. David Peel & Dennis Thomas, 1996. "Attendance demand: an investigation of repeat fixtures," Applied Economics Letters, Taylor & Francis Journals, vol. 3(6), pages 391-394.

    Cited by:

    1. Babatunde Buraimo, 2014. "Spectator demand and attendances in English league football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 4, pages 60-72, Edward Elgar Publishing.
    2. Dominik Schreyer & Benno Torgler, 2018. "On the Role of Race Outcome Uncertainty in the TV Demand for Formula 1 Grands Prix," Journal of Sports Economics, , vol. 19(2), pages 211-229, February.
    3. Patrick J. Ferguson & Karim R. Lakhani, 2023. "Consuming Contests: The Effect of Outcome Uncertainty on Spectator Attendance in the Australian Football League," The Economic Record, The Economic Society of Australia, vol. 99(326), pages 410-435, September.
    4. Besters, Lucas, 2018. "Economics of professional football," Other publications TiSEM d9e6b9b7-a17b-4665-9cca-1, Tilburg University, School of Economics and Management.
    5. Schreyer, Dominik & Schmidt, Sascha L. & Torgler, Benno, 2016. "Against all odds? Exploring the role of game outcome uncertainty in season ticket holders’ stadium attendance demand," Journal of Economic Psychology, Elsevier, vol. 56(C), pages 192-217.
    6. Barry Reilly, 2015. "The Demand for League of Ireland Football," The Economic and Social Review, Economic and Social Studies, vol. 46(4), pages 485-509.
    7. Terry A Robinson, 2011. "Dyed in the Wool? An Empirical Note on Fan Loyalty," Post-Print hal-00667599, HAL.
    8. Ferda Halicioglu, 2005. "Can We Predict The Outcome Of The International Football Tournaments : The Case Of Euro 2000?," Microeconomics 0503008, University Library of Munich, Germany.
    9. Dominik Schreyer & Sascha L. Schmidt & Benno Torgler, 2018. "Predicting season ticket holder loyalty using geographical information," Applied Economics Letters, Taylor & Francis Journals, vol. 25(4), pages 272-277, February.
    10. Matthew Olczak & J. James Reade & Matthew Yeo, 2020. "Mass Outdoor Events and the Spread of a Virus: English Football and Covid-19," Economics Discussion Papers em-dp2020-19, Department of Economics, University of Reading.
    11. Tim Pawlowski, 2013. "Testing the Uncertainty of Outcome Hypothesis in European Professional Football," Journal of Sports Economics, , vol. 14(4), pages 341-367, August.
    12. Scott Tainsky & Jie Xu & Brian Mills & Steven Salaga, 2016. "How Success and Uncertainty Compel Interest in Related Goods: Playoff Probability and Out-of-Market Television Viewership in the National Football League," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 48(1), pages 29-43, February.
    13. Alexander John Bond & Francesco Addesa, 2020. "Competitive Intensity, Fans’ Expectations, and Match-Day Tickets Sold in the Italian Football Serie A, 2012-2015," Journal of Sports Economics, , vol. 21(1), pages 20-43, January.
    14. R. Todd Jewell & David J. Molina, 2005. "An Evaluation of the Relationship Between Hispanics and Major League Soccer," Journal of Sports Economics, , vol. 6(2), pages 160-177, May.
    15. Jadrian J. Wooten, 2018. "A case for complements? Location and attendance in Major League Soccer," Applied Economics Letters, Taylor & Francis Journals, vol. 25(7), pages 442-446, April.
    16. Matt Pinnuck & Brad Potter, 2006. "Impact of on‐field football success on the off‐field financial performance of AFL football clubs," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(3), pages 499-517, September.
    17. S. M. Dobson & J. A. Goddard, 1998. "Performance and revenue in professional league football: evidence from Granger causality tests," Applied Economics, Taylor & Francis Journals, vol. 30(12), pages 1641-1651.
    18. Alistair Dawson & Paul Downward, 2005. "Measuring Short-Run Uncertainty of Outcome in Sporting Leagues," Journal of Sports Economics, , vol. 6(3), pages 303-313, August.
    19. David Peel & Dennis Thomas, 1997. "Handicaps, outcome uncertainty and attendance demand," Applied Economics Letters, Taylor & Francis Journals, vol. 4(9), pages 567-570.
    20. Bruce Morley & Dennis Thomas, 2007. "Attendance demand and core support: evidence from limited-overs cricket," Applied Economics, Taylor & Francis Journals, vol. 39(16), pages 2085-2097.
    21. Buraimo, Babatunde & Simmons, Rob, 2009. "A tale of two audiences: Spectators, television viewers and outcome uncertainty in Spanish football," Journal of Economics and Business, Elsevier, vol. 61(4), pages 326-338, July.
    22. Jeffery Borland, 2003. "Demand for Sport," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 19(4), pages 478-502, Winter.
    23. Tim Pawlowski & Georgios Nalbantis, 2015. "Competition format, championship uncertainty and stadium attendance in European football - a small league perspective," Applied Economics, Taylor & Francis Journals, vol. 47(38), pages 4128-4139, August.
    24. Lei Xinrong & Humphreys Brad R., 2013. "Game importance as a dimension of uncertainty of outcome," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(1), pages 25-36, March.

  100. Peel, D A & Yadav, P, 1995. "The Time Series Behaviour of Spot Exchange Rates in the German Hyper-inflation Period: (Was the Process Chaotic?)," Empirical Economics, Springer, vol. 20(3), pages 455-471.

    Cited by:

    1. Hartwell, Christopher A., 2019. "Short waves in Hungary, 1923 and 1946: Persistence, chaos, and (lack of) control," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 532-550.
    2. Zhang, Gioqinang & Hu, Michael Y., 1998. "Neural network forecasting of the British Pound/US Dollar exchange rate," Omega, Elsevier, vol. 26(4), pages 495-506, August.

  101. Peel, D A & Pope, P F, 1995. "Time-Varying Risk Premia and the Term Structure of Forward Exchange Rates," The Manchester School of Economic & Social Studies, University of Manchester, vol. 63(1), pages 69-81, March.

    Cited by:

    1. Wang, Peijie & Jones, Trefor, 2002. "Testing for efficiency and rationality in foreign exchange markets--a review of the literature and research on foreign exchange market efficiency and rationality with comments," Journal of International Money and Finance, Elsevier, vol. 21(2), pages 223-239, April.

  102. J. D. Byers & D. A. Peel, 1995. "Evidence on volatility spillovers in the interwar floating exchange rate period based on high/low prices," Applied Economics Letters, Taylor & Francis Journals, vol. 2(10), pages 394-396.

    Cited by:

    1. Buguk, Cumhur & Hudson, Darren & Hanson, Terrill R., 2003. "Price Volatility Spillover in Agricultural Markets: An Examination of U.S. Catfish Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(1), pages 1-14, April.
    2. Sayo Ayodeji, 2015. "Modeling Asymmetric Effect in African Currency Markets: Evidence from Kenya," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 4(3), pages 1-2.
    3. Wang, Jianxin & Yang, Minxian, 2009. "Asymmetric volatility in the foreign exchange markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(4), pages 597-615, October.
    4. Venetis, Ioannis A. & Peel, David, 2005. "Non-linearity in stock index returns: the volatility and serial correlation relationship," Economic Modelling, Elsevier, vol. 22(1), pages 1-19, January.
    5. Park, Beum-Jo, 2011. "Asymmetric herding as a source of asymmetric return volatility," Journal of Banking & Finance, Elsevier, vol. 35(10), pages 2657-2665, October.

  103. J. D. Byers & D. A. Peel, 1995. "Bilinear quadratic ARCH and volatility spillovers in inter-war exchange rates," Applied Economics Letters, Taylor & Francis Journals, vol. 2(7), pages 215-219.

    Cited by:

    1. Roberto Leon-Gonzalez & Fuyu Yang, 2017. "Bayesian inference and forecasting in the stationary bilinear model," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(20), pages 10327-10347, October.
    2. David G. McMillan & Isabel Ruiz, 2009. "Volatility dynamics in three euro exchange rates: correlations, spillovers and commonality," International Journal of Financial Markets and Derivatives, Inderscience Enterprises Ltd, vol. 1(1), pages 64-74.
    3. David McMillan & Isabel Ruiz & Alan Speight, 2010. "Correlations and spillovers among three euro rates: evidence using realised variance," The European Journal of Finance, Taylor & Francis Journals, vol. 16(8), pages 753-767.
    4. McMillan, David G. & Speight, Alan E.H., 2010. "Return and volatility spillovers in three euro exchange rates," Journal of Economics and Business, Elsevier, vol. 62(2), pages 79-93, March.
    5. Daniela Hristova, 2004. "Maximum Likelihood Estimation of a Unit Root Bilinear Model with an Application to Prices," Computing in Economics and Finance 2004 47, Society for Computational Economics.
    6. Hristova Daniela, 2005. "Maximum Likelihood Estimation of a Unit Root Bilinear Model with an Application to Prices," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(1), pages 1-15, March.

  104. David Peel & Alan Speight, 1995. "Asymmetry in the variance of economic activity: evidence for long-run UK GDP," Applied Economics Letters, Taylor & Francis Journals, vol. 2(11), pages 415-418.

    Cited by:

    1. Paul Beaumont & Stefan Norrbin & F. Pinar Yigit, 2007. "Time series evidence on the linkage between the volatility and growth of output," Applied Economics Letters, Taylor & Francis Journals, vol. 15(1), pages 45-48.

  105. David Peel & Alan Speight, 1994. "Testing for non-linear dependence in inter-war exchange rates," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 130(2), pages 391-417, June.

    Cited by:

    1. G. Boero & E. Marrocu, 2001. "Evaluating non-linear models on point and interval forecasts: an application with exchange rate returns," Working Paper CRENoS 200110, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    2. Clements, Michael P & Smith, Jeremy, 1999. "A Monte Carlo Study of the Forecasting Performance of Empirical SETAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 123-141, March-Apr.
    3. Fernandes, Marcelo & Preumont, Pierre-Yves, 2014. "The finite-sample size of the BDS test for GARCH standardized residuals," Textos para discussão 361, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    4. Dick van Dijk & Philip Hans Franses & Michael P. Clements & Jeremy Smith, 2003. "On SETAR non-linearity and forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 22(5), pages 359-375.
    5. Hui Feng & Jia Liu, 2002. "A SETAR Model for Canadian GDP: Non-Linearities and Forecast Comparisons," Econometrics Working Papers 0206, Department of Economics, University of Victoria.
    6. G. Boero & E. Marrocu, 2000. "La performance di modelli non lineari per i tassi di cambio: un'applicazione con dati a diversa frequenza," Working Paper CRENoS 200014, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    7. Gayaker, Savas & Ağaslan, Erkan & Alkan, Buket & Çiçek, Serkan, 2021. "The deterioration in credibility, destabilization of exchange rate and the rise in exchange rate pass-through in Turkey," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 571-587.
    8. Gianna Boero & Emanuela Marrocu, 2005. "Evaluating non-linear models on point and interval forecasts: an application with exchange rates," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 58(232), pages 91-120.
    9. Gilmore, Claire G., 2001. "An examination of nonlinear dependence in exchange rates, using recent methods from chaos theory," Global Finance Journal, Elsevier, vol. 12(1), pages 139-151.
    10. Chan, W.S. & Cheung, S.H., 2005. "A bivariate threshold time series model for analyzing Australian interest rates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 68(5), pages 429-437.
    11. G. Boero & E. Marrocu, 1999. "Modelli non lineari per i tassi di cambio: un confronto previsivo," Working Paper CRENoS 199914, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.

  106. Michael, Panos & Nobay, A Robert & Peel, David, 1994. "Purchasing power parity yet again: evidence from spatially separated commodity markets," Journal of International Money and Finance, Elsevier, vol. 13(6), pages 637-657, December.

    Cited by:

    1. Chen, Show-Lin & Wu, Jyh-Lin, 2000. "A Re-Examination of Purchasing Power Parity in Japan and Taiwan," Journal of Macroeconomics, Elsevier, vol. 22(2), pages 271-284, April.
    2. Pippenger, John, 2022. "The Law Of One Price, Borders And Purchasing Power Parity," University of California at Santa Barbara, Economics Working Paper Series qt5b17d1dr, Department of Economics, UC Santa Barbara.
    3. Shengfei Han & Pei He, 2012. "Reforms, WTO, arbitrage efficiency and integration between the China‐US soybean markets," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 4(3), pages 318-341, August.
    4. Phillips, Llad & Pippenger, John, 2005. "Some Pitfalls in Testing the Law of One Price in Commodity Markets," University of California at Santa Barbara, Economics Working Paper Series qt92b16177, Department of Economics, UC Santa Barbara.
    5. McNew, Kevin & Fackler, Paul L., 1997. "Testing Market Equilibrium: Is Cointegration Informative?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 22(2), pages 1-17, December.
    6. Pippenger, John, 2020. "The Law Of One Price, Purchasing Power Parity And Exchange Rates: Setting The Record Straight," University of California at Santa Barbara, Economics Working Paper Series qt2n8899rp, Department of Economics, UC Santa Barbara.
    7. Pippenger, John, 2007. "Strictly Speaking, the Law of One Price Works in Commodity Markets," University of California at Santa Barbara, Economics Working Paper Series qt1sf2d60x, Department of Economics, UC Santa Barbara.
    8. Sarno, Lucio & Taylor, Mark P. & Chowdhury, Ibrahim, 2004. "Nonlinear dynamics in deviations from the law of one price: a broad-based empirical study," Journal of International Money and Finance, Elsevier, vol. 23(1), pages 1-25, February.
    9. Han, Shengfei & Durham, Catherine A., 2010. "Spatial Price Analysis Incorporating Rate of Trade: Methods and Application to United States–China Soybean Trade," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(2), pages 1-16, May.
    10. Yang, Jian & Bessler, David A. & Leatham, David J., 2000. "The Law of One Price: Developed and Developing Country Market Integration," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 32(3), pages 429-440, December.
    11. Sophocles N. Brissimis & Dimitris A. Sideris & Fragiska K. Voumvaki, 2004. "Testing Long-Run Purchasing Power Parity under Exchange Rate Targeting," Working Papers 15, Bank of Greece.
    12. Gotz, Linde & Qiu, Feng & Glauben, Thomas, 2012. "The Law of One Price under State-Dependent Policy Intervention: An Application to the Ukrainian Wheat Market," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124904, Agricultural and Applied Economics Association.
    13. Pippenger, John, 2015. "Arbitrage and the Law of One Price: Setting the Record Straight," University of California at Santa Barbara, Economics Working Paper Series qt27t4q265, Department of Economics, UC Santa Barbara.
    14. Juuso Vataja, 2001. "On the interdependence of Finnish and Swedish newsprint prices," Finnish Economic Papers, Finnish Economic Association, vol. 14(2), pages 120-130, Autumn.
    15. Guney, Selin, 2015. "An Analysis of the Pass-Through of Exchange Rates in Tropical Forest Product Markets: A Smooth Transition Approach," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205107, Agricultural and Applied Economics Association.
    16. Shu-Ling Chen & John D. Jackson & Hyeongwoo Kim & Pramesti Resiandini, 2013. "What Drives Commodity Prices?," Auburn Economics Working Paper Series auwp2013-03, Department of Economics, Auburn University.
    17. Hyeongwoo Kim, 2013. "Are Global Food Prices Becoming More Volatile and More Persistent?," Auburn Economics Working Paper Series auwp2013-22, Department of Economics, Auburn University.
    18. Pippenger, John, 2004. "The Modern Theory of the LOP and PPP: Some Implications," University of California at Santa Barbara, Economics Working Paper Series qt60z886n7, Department of Economics, UC Santa Barbara.
    19. Mainardi, Stefano, 2001. "Limited arbitrage in international wheat markets: threshold and smooth transition cointegration," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 45(3), pages 1-26.
    20. Ibrahim A. Elbadawi & Raimundo Soto, "undated". "Real Exchange Rates and Macroeconomic Adjustment in Sub-Sahara Africa and Other Developing Countries," ILADES-UAH Working Papers inv093, Universidad Alberto Hurtado/School of Economics and Business.
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    1. Burdekin, Richard C. K. & Burkett, Paul, 1996. "Hyperinflation, the exchange rate and endogenous money: post-World War I Germany revisited," Journal of International Money and Finance, Elsevier, vol. 15(4), pages 599-621, August.
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    7. Topal, yavuz Han, 2013. "On the tracks of Zimbabwe’s Hyperinflation: A Quantitative Investigation," MPRA Paper 56117, University Library of Munich, Germany.
    8. Atanas Christev, 2005. "The Hyperinflation Model of Money Demand (or Cagan Revisited): Some New Empirical Evidence from the 1990s," CERT Discussion Papers 0507, Centre for Economic Reform and Transformation, Heriot Watt University.
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    11. Luca Benati, 2018. "Cagan s Paradox Revisited," Diskussionsschriften dp1826, Universitaet Bern, Departement Volkswirtschaft.
    12. Charles, Sébastien & Marie, Jonathan, 2017. "L’hyperinflation Bulgare de 1997 : Transition, Fragilité Bancaire et Change [Bulgaria’s Hyperinflation in 1997: Transition, Banking Fragility, and Foreign Exchange]," MPRA Paper 76459, University Library of Munich, Germany.
    13. Sébastien Charles & Jonathan Marie, 2017. "Bulgaria’s hyperinflation in 1997: transition, banking fragility and foreign exchange," Post-Communist Economies, Taylor & Francis Journals, vol. 29(3), pages 313-335, July.
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    17. Dimitris Georgoutsos & George Kouretas, 2000. "A Multivariate I(2) Cointegration Analysis Of German Hyperinflation," Working Papers 0001, University of Crete, Department of Economics, revised 00 Jul 2001.
    18. Choudhry, T., 1998. "Another visit to the Cagan model of money demand: the latest Russian experience," Journal of International Money and Finance, Elsevier, vol. 17(2), pages 355-376, April.
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    1. Hui Feng & Jia Liu, 2002. "A SETAR Model for Canadian GDP: Non-Linearities and Forecast Comparisons," Econometrics Working Papers 0206, Department of Economics, University of Victoria.
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    3. Babatunde Buraimo, 2014. "Spectator demand and attendances in English league football," Chapters, in: John Goddard & Peter Sloane (ed.), Handbook on the Economics of Professional Football, chapter 4, pages 60-72, Edward Elgar Publishing.
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    5. Egon Franck & Stephan Nüesch, 2007. "The Role of Patriotism in Explaining TV Audience of National Team Games - Evidence from Four International Tournaments," Working Papers 0065, University of Zurich, Institute for Strategy and Business Economics (ISU).
    6. Jean-Pascal Guironnet, 2018. "Incertitude de classement final et affluence en Ligue 1 française de football : une nouvelle approche," Post-Print halshs-02064147, HAL.
    7. Jean-Marc Falter & Christophe Pérignon & Olivier Vercruysse, 2008. "Impact of Overwhelming Joy on Consumer Demand," Journal of Sports Economics, , vol. 9(1), pages 20-42, February.
    8. Dominik Schreyer & Benno Torgler, 2018. "On the Role of Race Outcome Uncertainty in the TV Demand for Formula 1 Grands Prix," Journal of Sports Economics, , vol. 19(2), pages 211-229, February.
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    2. Byron Gangnes & Craig Parsons, 2004. "Have US-Japan Trade Agreements Made a Difference?," Working Papers 200403, University of Hawaii at Manoa, Department of Economics.
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    6. Urbain, Jean-Pierre, 1995. "Partial versus full system modelling of cointegrated systems an empirical illustration," Journal of Econometrics, Elsevier, vol. 69(1), pages 177-210, September.
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    8. Günçavdı, Öner & Ülengin, Burç, 2017. "Tradable and non-tradable expenditure and aggregate demand for imports in an emerging market economy," Economic Systems, Elsevier, vol. 41(3), pages 445-455.
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    10. 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.
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  118. J. D. Byers & D. A. Peel, 1989. "The Determinants of Arms Expenditures of NATO and the Warsaw Pact: Some Further Evidence," Journal of Peace Research, Peace Research Institute Oslo, vol. 26(1), pages 69-77, February.

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    1. Knobel, Alexander (Кнобель, Александр) & Chokaev, Bekhan (Чокаев, Бекхан) & Mironov, Alexey (Миронов, Алексей), 2015. "Comparative Analysis of the Effectiveness of Public Spending in the Field of National Defense and Law Enforcement [Сравнительный Анализ Эффективности Госрасходов В Сфере Национальной Обороны И Прав," Published Papers mn47, Russian Presidential Academy of National Economy and Public Administration.
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    4. Egon Franck & Stephan Nüesch, 2007. "The Role of Patriotism in Explaining TV Audience of National Team Games - Evidence from Four International Tournaments," Working Papers 0065, University of Zurich, Institute for Strategy and Business Economics (ISU).
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    9. Pedro Garcia-del-Barrio & J. James Reade, 2023. "The Impact of Uncertainty on Fan Interest Surrounding Multiple Outcomes in Open European Football Leagues," Economics Discussion Papers em-dp2023-02, Department of Economics, University of Reading.
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    36. Gürtler, Oliver, 2005. "A rationale for the coexistence of central and decentral marketing in team sports," Bonn Econ Discussion Papers 4/2005, University of Bonn, Bonn Graduate School of Economics (BGSE).
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    43. Scott Tainsky & Jie Xu & Yilun Zhou, 2014. "Qualifying the Game Uncertainty Effect," Journal of Sports Economics, , vol. 15(3), pages 219-236, June.
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    54. Moonsup Hyun & Gareth J. Jones & Wonsok (Frank) Jee & Jeremy S. Jordan & James Du & Yohan Lee, 2023. "Revisiting the Uncertainty of Outcome Hypothesis and the Loss Aversion Hypothesis in the National Basketball Association: Adding a Predicted Game Quality Perspective," Journal of Sports Economics, , vol. 24(8), pages 1076-1096, December.
    55. Christian Gjersing Nielsen & Rasmus K. Storm & Tor Georg Jakobsen, 2019. "The impact of English Premier League broadcasts on Danish spectator demand: a small league perspective," Journal of Business Economics, Springer, vol. 89(6), pages 633-653, August.
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    1. Wu, Chloe Yu-Hsuan & Hsu, Hwa-Hsien & Haslam, Jim, 2016. "Audit committees, non-audit services, and auditor reporting decisions prior to failure," The British Accounting Review, Elsevier, vol. 48(2), pages 240-256.
    2. Nadine Levratto & Luc Tessier & Messaoud Zouikri, 2011. "Small, alone and poor: a merciless portrait of insolvent French firms, 2007-2010," EconomiX Working Papers 2011-36, University of Paris Nanterre, EconomiX.
    3. Hsu, Hwa-Hsien & Wu, Chloe Yu-Hsuan, 2014. "Board composition, grey directors and corporate failure in the UK," The British Accounting Review, Elsevier, vol. 46(3), pages 215-227.
    4. Nadine Levratto & Luc Tessier & Messaoud Zouikri, 2011. "Small, alone and poor: a merciless portrait of insolvent French firms, 2007-2010," Working Papers hal-04140945, HAL.
    5. Paweł Zając & Piotr Gurgul, 2012. "Forecasting of migration matrices in business demography," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(2), pages 387-404, June.
    6. Oliver Lukason & María-del-Mar Camacho-Miñano, 2019. "Bankruptcy Risk, Its Financial Determinants and Reporting Delays: Do Managers Have Anything to Hide?," Risks, MDPI, vol. 7(3), pages 1-15, July.
    7. Andreas Charitou & Evi Neophytou & Chris Charalambous, 2004. "Predicting corporate failure: empirical evidence for the UK," European Accounting Review, Taylor & Francis Journals, vol. 13(3), pages 465-497.
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    9. Francesco Ciampi & Valentina Cillo & Fabio Fiano, 2020. "Combining Kohonen maps and prior payment behavior for small enterprise default prediction," Small Business Economics, Springer, vol. 54(4), pages 1007-1039, April.
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    1. Tsuchiya, Yoichi, 2023. "Assessing the World Bank’s growth forecasts," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 64-84.
    2. Kappler, Marcus, 2007. "Projecting the Medium-Term: Outcomes and Errors for GDP Growth," ZEW Discussion Papers 07-068, ZEW - Leibniz Centre for European Economic Research.
    3. Masahiro Ashiya, 2006. "Testing the rationality of forecast revisions made by the IMF and the OECD," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(1), pages 25-36.
    4. H.O. Stekler & Huixia Zhang, 2013. "An evaluation of Chinese economic forecasts," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 11(4), pages 251-259, November.
    5. Eicher, Theo S. & Kawai, Reina, 2023. "IMF trade forecasts for crisis countries: Bias, inefficiency, and their origins," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1615-1639.
    6. Ash, J. C. K. & Smyth, D. J. & Heravi, S. M., 1997. "The accuracy of OECD forecasts of the international economy: balance of payments," Journal of International Money and Finance, Elsevier, vol. 16(6), pages 969-987, December.
    7. Dikaios Tserkezos, 1996. "The dynamics of OECD forecasts for Greece," Applied Economics Letters, Taylor & Francis Journals, vol. 3(7), pages 427-429.
    8. Ash, J. C. K. & Smyth, D. J. & Heravi, S. M., 1998. "Are OECD forecasts rational and useful?: a directional analysis," International Journal of Forecasting, Elsevier, vol. 14(3), pages 381-391, September.

  122. MacDonald, R & Peel, D A, 1986. "On Lagged Adjustment, Permanent Income, Expectations Formation and the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(1), pages 61-72, February.

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    1. de Menezes, Lilian M. & Bunn, Derek W., 1998. "The persistence of specification problems in the distribution of combined forecast errors," International Journal of Forecasting, Elsevier, vol. 14(3), pages 415-426, September.

  123. Holden, K. & Peel, D. A., 1986. "Expectations formation, public forecasts and the wage equation," Economic Modelling, Elsevier, vol. 3(2), pages 129-134, April.

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    1. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.
    2. de Menezes, Lilian M. & Bunn, Derek W., 1998. "The persistence of specification problems in the distribution of combined forecast errors," International Journal of Forecasting, Elsevier, vol. 14(3), pages 415-426, September.

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    Cited by:

    1. Hunter, John & Isachenkova, Natalia, 2006. "Aggregate economy risk and company failure: An examination of UK quoted firms in the early 1990s," Journal of Policy Modeling, Elsevier, vol. 28(8), pages 911-919, November.
    2. JOHN HUNTER & Natalia Isachenkova, 2003. "A Panel Analysis Of Uk Industrial Company Failure," Public Policy Discussion Papers 03-10, Economics and Finance Section, School of Social Sciences, Brunel University.
    3. Jason J. Constable & David R. Woodliff, 1994. "Predicting Corporate Failure Using Publicly Available Information," Australian Accounting Review, CPA Australia, vol. 4(7), pages 13-27, May.
    4. García-Gallego, Ana & Mures-Quintana, María-Jesús, 2013. "La muestra de empresas en los modelos de predicción del fracaso: influencia en los resultados de clasificación || The Sample of Firms in Business Failure Prediction Models: Influence on Classification," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 15(1), pages 133-150, June.
    5. Van Laere, Elisabeth & Baesens, Bart, 2010. "The development of a simple and intuitive rating system under Solvency II," Insurance: Mathematics and Economics, Elsevier, vol. 46(3), pages 500-510, June.
    6. Robert C. Cressy, 1992. "U.K. Small Firm Bankruptcy Prediction: A Logit Analysis of Financial Trend-, Industry-, and Macro-Effects," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 1(3), pages 233-253, Spring.
    7. Emel, Ahmet Burak & Oral, Muhittin & Reisman, Arnold & Yolalan, Reha, 2003. "A credit scoring approach for the commercial banking sector," Socio-Economic Planning Sciences, Elsevier, vol. 37(2), pages 103-123, June.
    8. Şaban Çelik, 2013. "Micro Credit Risk Metrics: A Comprehensive Review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 20(4), pages 233-272, October.
    9. Pablo de Llano Monelos & Manuel Rodríguez López & Carlos Piñeiro Sánchez, 2013. "Bankruptcy Prediction Models in Galician companies. Application of Parametric Methodologies and Artificial Intelligence," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 117-136.
    10. D'Antoni, Jeremy M. & Mishra, Ashok K. & Chintawar, Sachin, 2009. "Predicting Financial Stress in Young and Beginning Farmers in the United States," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46861, Southern Agricultural Economics Association.
    11. Julia Koralun-Bereźnicka, 2014. "Industry and Size Effects in Corporate Performance: An Empirical Research on Selected EU Countries," International Journal of Financial Economics, Research Academy of Social Sciences, vol. 2(2), pages 34-42.
    12. Khoja, Layla & Chipulu, Maxwell & Jayasekera, Ranadeva, 2019. "Analysis of financial distress cross countries: Using macroeconomic, industrial indicators and accounting data," International Review of Financial Analysis, Elsevier, vol. 66(C).
    13. Piñeiro Sánchez Carlos & Llano Monelos Pablo De & Rodríguez López Manuel, 2013. "A parsimonious model to forecast financial distress, based on audit evidence," Contaduría y Administración, Accounting and Management, vol. 58(4), pages 151-173, octubre-d.
    14. Llano Monelos Pablo De & Piñeiro Sánchez Carlos & Rodríguez López Manuel, 2014. "DEA as a business failure prediction tool. Application to the case of galician SMEs," Contaduría y Administración, Accounting and Management, vol. 59(2), pages 65-96, abril-jun.
    15. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    16. Antonio Blanco-Oliver & Ana Irimia-Dieguez & María Oliver-Alfonso & Nicholas Wilson, 2015. "Systemic Sovereign Risk and Asset Prices: Evidence from the CDS Market, Stressed European Economies and Nonlinear Causality Tests," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 65(2), pages 144-166, April.
    17. Oliver Lukason & María-del-Mar Camacho-Miñano, 2019. "Bankruptcy Risk, Its Financial Determinants and Reporting Delays: Do Managers Have Anything to Hide?," Risks, MDPI, vol. 7(3), pages 1-15, July.
    18. Serrano Cinca, C. & Mar Molinero, C. & Gallizo Larraz, J.L., 2005. "Country and size effects in financial ratios: A European perspective," Global Finance Journal, Elsevier, vol. 16(1), pages 26-47, August.
    19. fernández, María t. Tascón & gutiérrez, Francisco J. Castaño, 2012. "Variables y Modelos Para La Identificación y Predicción Del Fracaso Empresarial: Revisión de La Investigación Empírica Reciente," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 15(1), pages 7-58.
    20. Andreas Charitou & Evi Neophytou & Chris Charalambous, 2004. "Predicting corporate failure: empirical evidence for the UK," European Accounting Review, Taylor & Francis Journals, vol. 13(3), pages 465-497.
    21. Layla Khoja & Maxwell Chipulu & Ranadeva Jayasekera, 2016. "Analysing corporate insolvency in the Gulf Cooperation Council using logistic regression and multidimensional scaling," Review of Quantitative Finance and Accounting, Springer, vol. 46(3), pages 483-518, April.
    22. Ciampi, Francesco, 2015. "Corporate governance characteristics and default prediction modeling for small enterprises. An empirical analysis of Italian firms," Journal of Business Research, Elsevier, vol. 68(5), pages 1012-1025.
    23. Jones, Stewart & Hensher, David A., 2007. "Modelling corporate failure: A multinomial nested logit analysis for unordered outcomes," The British Accounting Review, Elsevier, vol. 39(1), pages 89-107.
    24. Alessandro Bitetto & Stefano Filomeni & Michele Modina, 2021. "Understanding corporate default using Random Forest: The role of accounting and market information," DEM Working Papers Series 205, University of Pavia, Department of Economics and Management.
    25. Hunter, John & Isachenkova, Natalia, 2001. "Failure risk: A comparative study of UK and Russian firms," Journal of Policy Modeling, Elsevier, vol. 23(5), pages 511-521, July.
    26. Teija Laitinen & Maria Kankaanpaa, 1999. "Comparative analysis of failure prediction methods: the Finnish case," European Accounting Review, Taylor & Francis Journals, vol. 8(1), pages 67-92.
    27. Tascón, María T. & Castaño, Francisco J., 2017. "Selection of Variables in Small Business Failure Analysis: Mean Selection vs. Median Selection || Selección de variables en el análisis de fracaso de empresas pequeñas: selección de medias frente a se," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 24(1), pages 54-88, Diciembre.
    28. Miguel Ramirez de la Huerga & Víctor A. Bañuls Silvera & Murray Turoff & Manuel Rincón Roldan, 2019. "Evaluation Tool for Business Success," Working Papers 19.01, Universidad Pablo de Olavide, Department of Business Organization and Marketing (former Department of Business Administration).

  125. Chrystal, K Alec & Peel, David A, 1986. "What Can Economics Learn from Political Science, and Vice Versa?," American Economic Review, American Economic Association, vol. 76(2), pages 62-65, May.

    Cited by:

    1. Robert R. Prechter Jr. & Deepak Goel & Wayne D. Parker & Matthew Lampert, 2012. "Social Mood, Stock Market Performance, and U.S. Presidential Elections," SAGE Open, , vol. 2(4), pages 21582440124, November.
    2. Antoine Auberger, 2011. "Popularity Functions for the French President and Prime Minister (1995-2007)," Working Papers halshs-00872313, HAL.
    3. Laura Mayoral & Juan J. Dolado & Jesús Gonzalo, 2003. "Long-range dependence in Spanish political opinion poll series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(2), pages 137-155.
    4. Price, Simon, 1997. "Political Business Cycles and Macroeconomic Credibility: A Survey," Public Choice, Springer, vol. 92(3-4), pages 407-427, September.

  126. Minford, A P L & Peel, D A, 1983. "Some Implications of Partial Current Information Sets in Macroeconomic Models Embodying Rational Expectations," The Manchester School of Economic & Social Studies, University of Manchester, vol. 51(3), pages 235-249, September.

    Cited by:

    1. Paul Levine & Joseph Pearlman & George Perendia & Bo Yang, 2010. "Endogenous Persistence in an Estimated DSGE Model under Imperfect Information," School of Economics Discussion Papers 0310, School of Economics, University of Surrey.
    2. Paul Levine & Joseph Pearlman & Bo Yang, 2012. "Imperfect Information, Optimal Monetary Policy and Informational Consistency," School of Economics Discussion Papers 1012, School of Economics, University of Surrey.
    3. Lungu, Laurian & Matthews, Kent & Minford, Patrick, 2006. "Partial Current Information and Signal Extraction in a Rational Expectations Macroeconomic Model: A Computational Solution," Cardiff Economics Working Papers E2006/1, Cardiff University, Cardiff Business School, Economics Section.
    4. Paul Levine & Joseph Pearlman & Alessio Volpicella & Bo Yang, 2022. "The Use and Mis-Use of SVARs for Validating DSGE Models," School of Economics Discussion Papers 0522, School of Economics, University of Surrey.
    5. Paul Levine & Joseph Pearlman & Stephen Wright & Bo Yang, 2023. "Imperfect Information and Hidden Dynamics," School of Economics Discussion Papers 1223, School of Economics, University of Surrey.

  127. Minford, Patrick & Peel, David, 1981. "The Role of Monetary Stabilization Policy under Rational Expectations," The Manchester School of Economic & Social Studies, University of Manchester, vol. 49(1), pages 39-50, March.

    Cited by:

    1. Visser, H., 1987. "A survey of recent developments in monetary theory," Serie Research Memoranda 0003, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Ali F. Darrat, 1985. "Does Anticipated Fiscal Policy Matter? The Italian Evidence," Public Finance Review, , vol. 13(3), pages 339-352, July.
    3. Zijp, R. van, 1991. "The rise of new classical economics," Serie Research Memoranda 0077, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Zijp, R. van, 1990. "New classical monetary business cycle theory," Serie Research Memoranda 0058, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

  128. Peel, David A, 1981. "On Fiscal and Monetary Stabilization Policy under Rational Expectations," Public Finance = Finances publiques, , vol. 36(2), pages 290-296.

    Cited by:

    1. Ali F. Darrat, 1985. "Does Anticipated Fiscal Policy Matter? The Italian Evidence," Public Finance Review, , vol. 13(3), pages 339-352, July.

  129. Holden, K. & Peel, D. A., 1981. "Unemployment and the replacement ratio : Some reduced form estimates for the UK," Economics Letters, Elsevier, vol. 8(4), pages 349-354.

    Cited by:

    1. Vijlbrief, J.A., 1990. "The effects of unemployment insurance on the labour market," Serie Research Memoranda 0031, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

  130. Peel, David A., 1981. "Non-uniqueness and the role of the monetary authorities," Economics Letters, Elsevier, vol. 7(1), pages 25-28.

    Cited by:

    1. Pikoulakis, E. V. & Evans, William, 1998. "Staggering, the optimal monetary rule and persistence," Economics Letters, Elsevier, vol. 59(1), pages 91-95, April.

  131. Minford, A Patrick L & Peel, David A, 1980. "The Natural Rate Hypothesis and Rational Expectations-A Critique of Some Recent Developments," Oxford Economic Papers, Oxford University Press, vol. 32(1), pages 71-81, March.

    Cited by:

    1. Michener, Ron, 1998. "Inflation, Expectations, and Output: Lucas's Islands Revisited," Journal of Macroeconomics, Elsevier, vol. 20(4), pages 767-783, October.

  132. Holden, Kenneth & Peel, David A, 1979. "The Relationship between Prices and Money Supply in Latin America, 1958-1975," The Review of Economics and Statistics, MIT Press, vol. 61(3), pages 446-450, August.

    Cited by:

    1. Yash P. Mehra, 1985. "Inflationary expectations, money growth, and the vanishing liquidity effect of money on interest : a further investigation," Economic Review, Federal Reserve Bank of Richmond, vol. 71(Mar), pages 23-35.

  133. Peel, D A & Metcalfe, J S, 1979. "Divergent Expectations and the Dynamic Stability of Some Simple Macro Economic Models," Economic Journal, Royal Economic Society, vol. 89(356), pages 789-798, December.

    Cited by:

    1. Hans Blomqvist, 1984. "On the sources and macroeconomic implications of nonuniform and uncertain price expectations," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 120(2), pages 366-375, June.

  134. Chappell, D. & Peel, D. A., 1979. "On the political theory of the business cycle," Economics Letters, Elsevier, vol. 2(4), pages 327-332.

    Cited by:

    1. Thornton, John & Vasilakis, Chrysovalantis, 2017. "Inflation targeting and the cyclicality of monetary policy," Finance Research Letters, Elsevier, vol. 20(C), pages 296-302.
    2. Bruno S. Frey & Lasse Steiner, 2012. "Political Economy: Success or Failure?," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 6(3), September.
    3. Jac C. Heckelman & Hakan Berument, 1998. "Political Business Cycles and Endogenous Elections," Southern Economic Journal, John Wiley & Sons, vol. 64(4), pages 987-1000, April.
    4. George Tridimas, 2017. "Constitutional choice in ancient Athens: the evolution of the frequency of decision making," Constitutional Political Economy, Springer, vol. 28(3), pages 209-230, September.
    5. Matthews, Kent & Minford, Patrick & Naraidoo, Ruthira, 2006. "Vicious and Virtuous Circles - The Political Economy of Unemployment in Interwar UK and USA," Cardiff Economics Working Papers E2006/25, Cardiff University, Cardiff Business School, Economics Section, revised Nov 2006.
    6. Heckelman, Jac C., 2001. "Partisan Business Cycles under Variable Election Dates," Journal of Macroeconomics, Elsevier, vol. 23(2), pages 261-275, April.
    7. Eric Dubois, 2016. "Political Business Cycles 40 Years after Nordhaus," Post-Print hal-01291401, HAL.
    8. Alesina, Alberto, 1987. "Macroeconomic Policy in a Two-party System as a Repeated Game," Scholarly Articles 4552531, Harvard University Department of Economics.
    9. Felix Bierbrauer & Lydia Mechtenberg, 2008. "Winners and Losers of Early Elections: On the Welfare Implications of Political Blockades and Early Elections," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2008_50, Max Planck Institute for Research on Collective Goods.
    10. Eric Dubois, 2016. "Political business cycles 40 years after Nordhaus," Public Choice, Springer, vol. 166(1), pages 235-259, January.
    11. Delavari, Majid & Mohammadali, Hanieh & Naderi, Esmaeil & Gandali Alikhani, Nadiya, 2011. "The sources of Iran's Business Cycles," MPRA Paper 46756, University Library of Munich, Germany.
    12. van der Ploeg, F., 1989. "Two essays on political economy," Other publications TiSEM 4256c7b5-8422-47b0-be5b-a, Tilburg University, School of Economics and Management.
    13. Laopodis, Nikiforos T. & Merika, Anna A. & Triantafillou, Annie, 2016. "Unraveling the political budget cycle nexus in Greece," Research in International Business and Finance, Elsevier, vol. 36(C), pages 13-27.
    14. Mohammad Abdul Munim Joarder & A. K. M. Nurul Hossain & Monir Uddin Ahmed, 2016. "Does the central bank contribute to the political monetary cycles in Bangladesh?," Economic Change and Restructuring, Springer, vol. 49(4), pages 365-394, November.
    15. F. Ploeg, 1989. "Disposable income, unemployment, inflation and state spending in a dynamic political-economic model," Public Choice, Springer, vol. 60(3), pages 211-239, March.
    16. Gertrudes Saúde Guerreiro & António Caleiro, 2003. "Explaining the Election Results in Portugal: A Spatial Econometrics Point of View," ERSA conference papers ersa03p523, European Regional Science Association.
    17. Anna Spoz & Grzegorz Kotlinski & Anna Mizak & Helena Zukowska, 2020. "Public Aid for Relieving the Effects of COVID-19 Pandemic," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 606-621.
    18. Price, Simon, 1997. "Political Business Cycles and Macroeconomic Credibility: A Survey," Public Choice, Springer, vol. 92(3-4), pages 407-427, September.
    19. Alastair Smith, 1996. "Endogenous Election Timing In Majoritarian Parliamentary Systems," Economics and Politics, Wiley Blackwell, vol. 8(2), pages 85-110, July.
    20. Eric Dubois, 2016. "Political Business Cycles 40 Years after Nordhaus," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-01291401, HAL.
    21. T. Scott Findley, 2015. "Hyperbolic Memory Discounting and the Political Business Cycle," CESifo Working Paper Series 5556, CESifo.
    22. Ulrich Lächler, 1984. "The political business cycle under rational voting behavior," Public Choice, Springer, vol. 44(3), pages 411-430, January.

  135. D. Peel, 1978. "Inflationary expectations and “Self-Generating” inflations," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 114(1), pages 12-23, March.

    Cited by:

    1. James Chan-Lee, 1980. "A review of recent work in the area of inflationary expectations," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 116(1), pages 45-86, March.

  136. Latham, R. W. & Peel, D. A., 1977. "The `tax on wage increses' when the firm is a monopsonist," Journal of Public Economics, Elsevier, vol. 8(2), pages 247-253, October.

    Cited by:

    1. Oswald, Andrew, 1982. "Three Theorems on Inflation Taxes and Marginal Employment Subsidies," The Warwick Economics Research Paper Series (TWERPS) 220, University of Warwick, Department of Economics.
    2. Kenneth Koford, 1987. "Some Short-Run Microeconomic Effects of a Market Incentive Anti-Inflation Plan," Public Finance Review, , vol. 15(2), pages 199-218, April.

  137. Holden, K & Peel, D A, 1977. "An Empirical Investigation of Inflationary Expectations," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 39(4), pages 291-299, November.

    Cited by:

    1. Silva Lopes, Artur, 1994. "A "hipótese das expectativas racionais": teoria e realidade (uma visita guiada à literatura até 1992) [The "rational expectations hypothesis": theory and reality (a guided tour ," MPRA Paper 9699, University Library of Munich, Germany, revised 23 Jul 2008.
    2. L. V. Defris & R. A. Williams, 1979. "The Formation of Consumer Inflationary Expectations in Australia," The Economic Record, The Economic Society of Australia, vol. 55(2), pages 136-148, June.
    3. Michela Nardo, 2003. "The Quantification of Qualitative Survey Data: A Critical Assessment," Journal of Economic Surveys, Wiley Blackwell, vol. 17(5), pages 645-668, December.
    4. James Chan-Lee, 1980. "A review of recent work in the area of inflationary expectations," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 116(1), pages 45-86, March.
    5. D. Peel, 1978. "Inflationary expectations and “Self-Generating” inflations," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 114(1), pages 12-23, March.

  138. Peel, D.A., 1977. "On the properties of alternative monetary rules in an extension of Black's model," European Economic Review, Elsevier, vol. 9(2), pages 195-208.

    Cited by:

    1. D. Peel, 1980. "On the implications of monetary rules in a stochastic framework," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 116(2), pages 253-263, June.

  139. Briscoe, G & Peel, D A, 1975. "The Specification of the Short-Run Employment Function: An Empirical Investigation of the Demand for Labour in the UK Manufacturing Sector, 1955-1972," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 37(2), pages 115-142, May.

    Cited by:

    1. Huang, Li-Hsuan, 2001. "Was higher education a quasi-fixed factor for firms in the 1980s?," Economics of Education Review, Elsevier, vol. 20(5), pages 495-501, October.

  140. R. W. Latham & D. A. Peel, 1975. "The Determinants of the Natural Rate of Unemployment in the Neoclassical Model," The Economic Record, The Economic Society of Australia, vol. 51(3), pages 308-319, September.

    Cited by:

    1. Željko Kuèiš & Irena Paliæ, 2021. "Empirical analysis of the elasticity of employment to output gap in the republic of croatia," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 19(1), pages 94-105.

Chapters

  1. Efthymios G. Pavlidis & Ivan Paya & David A. Peel, 2009. "The Econometrics of Exchange Rates," Palgrave Macmillan Books, in: Terence C. Mills & Kerry Patterson (ed.), Palgrave Handbook of Econometrics, chapter 22, pages 1025-1083, Palgrave Macmillan.

    Cited by:

    1. Frédérique Bec & Mélika Ben Salem, 2020. "An asymmetrical overshooting correction model for G20 nominal effective exchange rates," PSE Working Papers hal-02908680, HAL.
    2. E Pavlidis & I Paya & D Peel, 2009. "Real Exchange Rates and Time-Varying Trade Costs," Working Papers 600537, Lancaster University Management School, Economics Department.
    3. Works, Richard Floyd, 2016. "Econometric modeling of exchange rate determinants by market classification: An empirical analysis of Japan and South Korea using the sticky-price monetary theory," MPRA Paper 76382, University Library of Munich, Germany.

Books

  1. Patrick Minford & David Peel, 2002. "Advanced Macroeconomics," Books, Edward Elgar Publishing, number 1775.

    Cited by:

    1. Mauricio A. Hernández & Munir A. Jalil & Carlos Esteban Posada, 2005. "El Costo de los Ciclos Económicos en Colombia: Una Nueva Estimación," Borradores de Economia 353, Banco de la Republica de Colombia.
    2. Minford, Patrick & Peel, David, 2004. "Calvo Contracts: A Critique," CEPR Discussion Papers 4288, C.E.P.R. Discussion Papers.
    3. Meenagh, David & Minford, Patrick & Peel, David, 2007. "Simulating stock returns under switching regimes - A new test of market efficiency," Economics Letters, Elsevier, vol. 94(2), pages 235-239, February.
    4. Laban K. Chesang & Ruthira Naraidoo, 2014. "Parameter Uncertainty and Inflation Dynamics in a Model with Asymmetric Central Bank Preferences," Working Papers 201437, University of Pretoria, Department of Economics.
    5. Aurélien Goutsmedt & Erich Pinzon-Fuchs & Matthieu Renault & Francesco Sergi, 2015. "Criticizing the Lucas Critique: Macroeconometricians' Response to Robert Lucas," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-01179114, HAL.
    6. David Meenagh & Patrick Minford & Eric Nowell & Prakriti Sofat & Naveen Srinivasan, 2007. "Are the facts of UK inflation persistence to be explained by nominal rigidity or changes in monetary regime?," WEF Working Papers 0028, ESRC World Economy and Finance Research Programme, Birkbeck, University of London.
    7. Meenagh, David & Minford, Patrick & Nowell, Eric & Sofat, Prakriti & Srinivasan, Naveen, 2009. "Can the facts of UK inflation persistence be explained by nominal rigidity?," Economic Modelling, Elsevier, vol. 26(5), pages 978-992, September.

  2. Holden,Ken & Peel,David A. & Thompson,John L., 1991. "Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521356923.

    Cited by:

    1. Greg Tkacz & Sarah Hu, 1999. "Forecasting GDP Growth Using Artificial Neural Networks," Staff Working Papers 99-3, Bank of Canada.
    2. 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).

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