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Philip Rothman

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.

Working papers

  1. Francesco Ravazzolo & Philip Rothman, 2010. "Oil and US GDP: A real-time out-of-sample examination," Working Paper 2010/18, Norges Bank.

    Cited by:

    1. Athanasios Triantafyllou & Dimitrios Bakas & Marilou Ioakimidis, 2019. "Commodity Price Uncertainty as a Leading Indicator of Economic Activity," Working Paper series 19-03, Rimini Centre for Economic Analysis.
    2. Lise Pichette & Marie-Noëlle Robitaille, 2017. "Assessing the Business Outlook Survey Indicator Using Real-Time Data," Discussion Papers 17-5, Bank of Canada.
    3. Nima Nonejad, 2021. "Crude oil price point forecasts of the Norwegian GDP growth rate," Empirical Economics, Springer, vol. 61(5), pages 2913-2930, November.
    4. Chen, Shiyi & Chen, Dengke & Härdle, Wolfgang Karl, 2014. "The influence of oil price shocks on China's macro-economy: A perspective of international trade," SFB 649 Discussion Papers 2014-063, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    5. Kilian, Lutz & Vigfusson, Robert J., 2012. "Do Oil Prices Help Forecast U.S. Real GDP? The Role of Nonlinearities and Asymmetries," CEPR Discussion Papers 8980, C.E.P.R. Discussion Papers.
    6. Nima Nonejad, 2022. "New Findings Regarding the Out-of-Sample Predictive Impact of the Price of Crude Oil on the United States Industrial Production," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(1), pages 1-35, March.
    7. Ron Alquist & Lutz Kilian & Robert Vigfusson, 2011. "Forecasting the Price of Oil," Staff Working Papers 11-15, Bank of Canada.
    8. Funk, Christoph, 2018. "Forecasting the real price of oil - Time-variation and forecast combination," Energy Economics, Elsevier, vol. 76(C), pages 288-302.
    9. Aastveit, Knut Are & Anundsen, André K. & Herstad, Eyo I., 2019. "Residential investment and recession predictability," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1790-1799.
    10. Raza, Syed Ali & Shahbaz, Muhammad & Amir-ud-Din, Rafi & Sbia, Rashid & Shah, Nida, 2018. "Testing for wavelet based time-frequency relationship between oil prices and US economic activity," Energy, Elsevier, vol. 154(C), pages 571-580.
    11. Hamilton, James D., 2011. "Nonlinearities And The Macroeconomic Effects Of Oil Prices," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 364-378, November.
    12. Maheu, John M & Yang, Qiao & Song, Yong, 2018. "Oil Price Shocks and Economic Growth: The Volatility Link," MPRA Paper 83779, University Library of Munich, Germany.
    13. Nonejad, Nima, 2019. "Forecasting aggregate equity return volatility using crude oil price volatility: The role of nonlinearities and asymmetries," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    14. Claudio Morana, 2012. "The Oil price-Macroeconomy Relationship since the Mid- 1980s: A global perspective," Working Papers 2012.28, Fondazione Eni Enrico Mattei.
    15. Maud Korley & Evangelos Giouvris, 2022. "The Impact of Oil Price and Oil Volatility Index (OVX) on the Exchange Rate in Sub-Saharan Africa: Evidence from Oil Importing/Exporting Countries," Economies, MDPI, vol. 10(11), pages 1-29, November.
    16. Hubrich, Kirstin & Granziera, Eleonora & Moon, Hyungsik Roger, 2013. "A predictability test for a small number of nested models," Working Paper Series 1580, European Central Bank.
    17. James D. Hamilton, 2012. "Oil Prices, Exhaustible Resources, and Economic Growth," NBER Working Papers 17759, National Bureau of Economic Research, Inc.
    18. Nima Nonejad, 2024. "Point forecasts of the price of crude oil: an attempt to “beat” the end-of-month random-walk benchmark," Empirical Economics, Springer, vol. 67(4), pages 1497-1539, October.
    19. Pozo, Veronica F. & Bachmeier, Lance J. & Schroeder, Ted C., 2021. "Are there price asymmetries in the U.S. beef market?," Journal of Commodity Markets, Elsevier, vol. 21(C).
    20. Nonejad, Nima, 2021. "The price of crude oil and (conditional) out-of-sample predictability of world industrial production," Journal of Commodity Markets, Elsevier, vol. 23(C).
    21. Christiane Baumeister & Lutz Kilian, 2011. "Real-Time Forecasts of the Real Price of Oil," Staff Working Papers 11-16, Bank of Canada.
    22. Liu, Li & Ma, Feng & Wang, Yudong, 2015. "Forecasting excess stock returns with crude oil market data," Energy Economics, Elsevier, vol. 48(C), pages 316-324.
    23. Pan, Zhiyuan & Wang, Qing & Wang, Yudong & Yang, Li, 2018. "Forecasting U.S. real GDP using oil prices: A time-varying parameter MIDAS model," Energy Economics, Elsevier, vol. 72(C), pages 177-187.
    24. Knut Are Aastveit & Jamie L. Cross & Herman K. van Dijk, 2021. "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Working Paper 2021/3, Norges Bank.
    25. Lutz Kilian & Robert J. Vigfusson, 2014. "The Role of Oil Price Shocks in Causing U.S. Recessions," International Finance Discussion Papers 1114, Board of Governors of the Federal Reserve System (U.S.).
    26. Gaye GENCER & Sercan DEMIRALAY, 2013. "The impact of oil prices on sectoral returns: an empirical analysis from Borsa Istanbul," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania / Editura Economica, vol. 0(12(589)), pages 7-24, December.
    27. Degiannakis, Stavros & Filis, George, 2018. "Forecasting oil prices: High-frequency financial data are indeed useful," Energy Economics, Elsevier, vol. 76(C), pages 388-402.
    28. Francesco Ravazzolo & Philip Rothman, 2015. "Oil-Price Density Forecasts of U.S. GDP," Working Papers No 10/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    29. Fan, Qinbin & Jahan-Parvar, Mohammad R., 2012. "U.S. industry-level returns and oil prices," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 112-128.
    30. Sirio Aramonte & Mohammad Jahan-Parvar & Justin Shugarman, 2015. "Institutions and return predictability in oil-exporting countries," Finance and Economics Discussion Series 2015-14, Board of Governors of the Federal Reserve System (U.S.).
    31. Chen, Zhan-Ming & Chen, Pei-Lin & Ma, Zeming & Xu, Shiyun & Hayat, Tasawar & Alsaedi, Ahmed, 2019. "Inflationary and distributional effects of fossil energy price fluctuation on the Chinese economy," Energy, Elsevier, vol. 187(C).
    32. Nonejad, Nima, 2020. "Crude oil price volatility and short-term predictability of the real U.S. GDP growth rate," Economics Letters, Elsevier, vol. 186(C).
    33. Degiannakis, Stavros & Filis, George, 2023. "Oil price assumptions for macroeconomic policy," Energy Economics, Elsevier, vol. 117(C).
    34. 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.
    35. Herrera, Ana María & Karaki, Mohamad B. & Rangaraju, Sandeep Kumar, 2019. "Oil price shocks and U.S. economic activity," Energy Policy, Elsevier, vol. 129(C), pages 89-99.
    36. Nonejad, Nima, 2020. "Crude oil price volatility and equity return predictability: A comparative out-of-sample study," International Review of Financial Analysis, Elsevier, vol. 71(C).
    37. Nonejad, Nima, 2020. "Crude oil price changes and the United Kingdom real gross domestic product growth rate: An out-of-sample investigation," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    38. Nonejad, Nima, 2020. "A comprehensive empirical analysis of the predictive impact of the price of crude oil on aggregate equity return volatility," Journal of Commodity Markets, Elsevier, vol. 20(C).
    39. Florackis, Chris & Giorgioni, Gianluigi & Kostakis, Alexandros & Milas, Costas, 2014. "On stock market illiquidity and real-time GDP growth," Journal of International Money and Finance, Elsevier, vol. 44(C), pages 210-229.
    40. Nonejad, Nima, 2022. "Understanding the conditional out-of-sample predictive impact of the price of crude oil on aggregate equity return volatility," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    41. Rossi, Barbara & Gürkaynak, Refet & Kısacıkoğlu, Burçin, 2013. "Do DSGE Models Forecast More Accurately Out-of-Sample than VAR Models?," CEPR Discussion Papers 9576, C.E.P.R. Discussion Papers.
    42. Yin, Libo & Feng, Jiabao & Han, Liyan, 2021. "Systemic risk in international stock markets: Role of the oil market," International Review of Economics & Finance, Elsevier, vol. 71(C), pages 592-619.

  2. Jahan-Parvar, Mohammad R. & Liu, Xuan & Rothman, Philip, 2009. "Equity Returns and Business Cycles in Small Open Economies," MPRA Paper 15915, University Library of Munich, Germany.

    Cited by:

    1. Richard E. Ericson & Xuan Liu, 2012. "Welfare effect of interest rate shocks and policy implications," Applied Financial Economics, Taylor & Francis Journals, vol. 22(22), pages 1899-1917, November.
    2. Rahul Nath, 2018. "Flexible Labour, Income Effects, and Asset Prices," Economics Series Working Papers 851, University of Oxford, Department of Economics.
    3. Giuliano Curatola & Michael Donadelli & Patrick Grüning, 2022. "Technology trade with asymmetric tax regimes and heterogeneous labour markets: Implications for macro quantities and asset prices," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 3805-3831, October.
    4. Curatola, Giuliano & Donadelli, Michael & Grüning, Patrick, 2015. "Matching the BRIC equity premium: A structural approach," Emerging Markets Review, Elsevier, vol. 22(C), pages 65-75.
    5. Min Bai & Samir Harith, 2023. "Measuring SMEs Risk – Evidence from Malaysia," SN Business & Economics, Springer, vol. 3(7), pages 1-32, July.
    6. Liu, Xuan, 2007. "Trade Openness and the Cost of Sudden Stops: The Role of Financial Friction," MPRA Paper 18260, University Library of Munich, Germany, revised 26 Oct 2009.
    7. Caporale, Guglielmo Maria & Donadelli, Michael & Varani, Alessia, 2015. "International capital markets structure, preferences and puzzles: A “US–China World”," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 85-99.
    8. Zhongyuan Geng & Xuan Liu, 2019. "Optimal input trade policy under economic uncertainties in a small open economy," Applied Economics, Taylor & Francis Journals, vol. 51(20), pages 2155-2171, April.
    9. Horvath, Jaroslav, 2018. "Business cycles, informal economy, and interest rates in emerging countries," Journal of Macroeconomics, Elsevier, vol. 55(C), pages 96-116.

  3. Cheng, Ai-ru & Jahan-Parvar, Mohammad R. & Rothman, Philip, 2009. "An Empirical Investigation of Stock Market Behavior in the Middle East and North Africa," MPRA Paper 13437, University Library of Munich, Germany.

    Cited by:

    1. Abid, Fathi & Bahloul, Slah & Mroua, Mourad, 2016. "Financial development and economic growth in MENA countries," Journal of Policy Modeling, Elsevier, vol. 38(6), pages 1099-1117.
    2. Wajih Khallouli & Rene Sandretto, 2011. "Testing for “Contagion” of the Subprime Crisis on the Middle East And North African Stock Markets: A Markov Switching EGARCH Approach," Working Papers 609, Economic Research Forum, revised 08 Jan 2011.
    3. Maghyereh, Aktham I. & Awartani, Basel & Hilu, Khalil Al, 2015. "Dynamic transmissions between the U.S. and equity markets in the MENA countries: New evidence from pre- and post-global financial crisis," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 123-138.
    4. Yousef, Mona & Masih, Mansur, 2017. "Time-varying correlation between islamic stock indices: evidence from the GCC countries based on MGARCH-DCC approach," MPRA Paper 100986, University Library of Munich, Germany.
    5. Chiang, Thomas C. & Chen, Xiaoyu, 2016. "Stock returns and economic fundamentals in an emerging market: An empirical investigation of domestic and global market forces," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 107-120.
    6. Salahuddin, Sultan & Kashif, Muhammad & Rehman, Mobeen Ur, 2020. "Time Varying Stock Market Integration and Diversification Opportunities within Emerging and Frontier Markets," Public Finance Quarterly, Corvinus University of Budapest, vol. 65(2), pages 168-195.
    7. Alotaibi, Abdullah R. & Mishra, Anil V., 2017. "Time varying international financial integration for GCC stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 66-78.
    8. Ben Slimane, Faten & Boubaker, Sabri & Jouini, Jamel, 2020. "Does the Euro–Mediterranean Partnership contribute to regional integration?," Journal of Policy Modeling, Elsevier, vol. 42(2), pages 328-348.
    9. Mehmet Balcilar & Riza Demirer & Shawkat Hammoudeh & Ahmed Khalifa, 2013. "Do Global Shocks Drive Investor Herds in Oil-Rich Frontier Markets?," Working Papers 819, Economic Research Forum, revised Dec 2013.
    10. Tao, Juan & Green, Christopher J., 2012. "Asymmetries, causality and correlation between FTSE100 spot and futures: A DCC-TGARCH-M analysis," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 26-37.
    11. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2013. "Liquidity measurement in frontier markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 27(C), pages 1-12.
    12. Bai, Ye & Green, Christopher J., 2020. "Country and industry factors in tests of Capital Asset Pricing Models for partially integrated emerging markets," Economic Modelling, Elsevier, vol. 92(C), pages 180-194.
    13. Chiang, Thomas C. & Zheng, Dazhi, 2015. "Liquidity and stock returns: Evidence from international markets," Global Finance Journal, Elsevier, vol. 27(C), pages 73-97.
    14. Rehman, Mobeen Ur & Ahmad, Nasir & Shahzad, Syed Jawad Hussain & Vo, Xuan Vinh, 2022. "Dependence dynamics of stock markets during COVID-19," Emerging Markets Review, Elsevier, vol. 51(PB).
    15. Marshall, Ben R. & Nguyen, Nhut H. & Visaltanachoti, Nuttawat, 2015. "Frontier market transaction costs and diversification," Journal of Financial Markets, Elsevier, vol. 24(C), pages 1-24.
    16. Wajih Khallouli & Modibo René Sandretto, 2010. "Testing for “contagion” of the subprime crisis on the Middle East and North African stock markets : A Markov Switching EGARCH approach," Working Papers 1022, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    17. Patel, Ritesh & Goodell, John W. & Oriani, Marco Ercole & Paltrinieri, Andrea & Yarovaya, Larisa, 2022. "A bibliometric review of financial market integration literature," International Review of Financial Analysis, Elsevier, vol. 80(C).
    18. Assaf, Ata, 2015. "Value-at-Risk analysis in the MENA equity markets: Fat tails and conditional asymmetries in return distributions," Journal of Multinational Financial Management, Elsevier, vol. 29(C), pages 30-45.
    19. Jahan-Parvar, Mohammad R. & Mohammadi, Hassan, 2013. "Risk and return in the Tehran stock exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(3), pages 238-256.
    20. Corbet, Shaen & Gurdgiev, Constantin & Meegan, Andrew, 2018. "Long-term stock market volatility and the influence of terrorist attacks in Europe," The Quarterly Review of Economics and Finance, Elsevier, vol. 68(C), pages 118-131.
    21. Jouini, Jamel, 2015. "New empirical evidence from assessing financial market integration, with application to Saudi Arabia," Economic Modelling, Elsevier, vol. 49(C), pages 198-211.
    22. Demirer, Rıza & Jategaonkar, Shrikant P. & Khalifa, Ahmed A.A., 2015. "Oil price risk exposure and the cross-section of stock returns: The case of net exporting countries," Energy Economics, Elsevier, vol. 49(C), pages 132-140.
    23. Gautam Milind Gokhale & Ankur Mittal, 2024. "Exploring the Nexus of Capital Market and Investor Behaviour: A Systematic Literature Review," International Journal of Economics and Financial Issues, Econjournals, vol. 14(2), pages 65-76, March.
    24. Chau, Frankie & Deesomsak, Rataporn & Wang, Jun, 2014. "Political uncertainty and stock market volatility in the Middle East and North African (MENA) countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 1-19.
    25. Ghassan, Hassan B. & Alhajhoj, Hassan R., 2012. "أثر تحرير سوق رأس المال على التذبذب في سوق الأسهم السعودي [Effect of Capital Market Liberalization on Volatility of TASI]," MPRA Paper 54470, University Library of Munich, Germany, revised 2012.
    26. 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.
    27. Bley, Jorg & Saad, Mohsen, 2012. "Idiosyncratic risk and expected returns in frontier markets: Evidence from GCC," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 538-554.
    28. Balcılar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2015. "Regional and global spillovers and diversification opportunities in the GCC equity sectors," Emerging Markets Review, Elsevier, vol. 24(C), pages 160-187.
    29. Md Gyasuddin Ansari & Rudra Sensarma, 2019. "US Monetary Policy, Oil and Gold Prices: Which has a greater impact on BRICS Stock Markets?," Working papers 343, Indian Institute of Management Kozhikode.
    30. Balcilar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2014. "What drives herding in oil-rich, developing stock markets? Relative roles of own volatility and global factors," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 418-440.
    31. Berk, Ales S. & Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2017. "Psychological price barriers in frontier equities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 49(C), pages 1-14.
    32. Alsubaiei, Bader Jawid & Calice, Giovanni & Vivian, Andrew, 2024. "How does oil market volatility impact mutual fund performance?," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1601-1621.
    33. Al-Mohamed, Somar & Elkanj, Nasser & Gangopadhyay, Partha, 2018. "Time-Varying Integration of MENA Stock Markets," International Journal of Development and Conflict, Gokhale Institute of Politics and Economics, vol. 8(2), pages 85-114.
    34. Demirer, Riza, 2013. "Can advanced markets help diversify risks in frontier stock markets? Evidence from Gulf Arab stock markets," Research in International Business and Finance, Elsevier, vol. 29(C), pages 77-98.
    35. Narayan, Paresh Kumar & Phan, Dinh Hoang Bach, 2017. "Momentum strategies for Islamic stocks," Pacific-Basin Finance Journal, Elsevier, vol. 42(C), pages 96-112.
    36. Berger, Dave & Pukthuanthong, Kuntara & Jimmy Yang, J., 2011. "International diversification with frontier markets," Journal of Financial Economics, Elsevier, vol. 101(1), pages 227-242, July.
    37. Bruce Hearn & Jenifer Piesse, 2015. "The Impact of Firm Size and Liquidity on the Cost of External Finance in Africa," South African Journal of Economics, Economic Society of South Africa, vol. 83(1), pages 1-22, March.
    38. Mohamed Ahmed Shaker & Khairy Elgiziry, 2014. "Comparisons of Asset Pricing Models in the Egyptian Stock Market," Accounting and Finance Research, Sciedu Press, vol. 3(4), pages 1-24, August.
    39. Hearn, Bruce & Li, Jing & Mykhayliv, Dariya & Waqas, Muhammad, 2021. "Asset pricing in the Middle East’s equity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 72(C).

  4. 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.

    Cited by:

    1. David Ubilava & Matt Holt, 2013. "El Niño southern oscillation and its effects on world vegetable oil prices: assessing asymmetries using smooth transition models," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(2), pages 273-297, April.
    2. 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.
    3. Andreas Karatahansopoulos & Georgios Sermpinis & Jason Laws & Christian Dunis, 2014. "Modelling and Trading the Greek Stock Market with Gene Expression and Genetic Programing Algorithms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(8), pages 596-610, December.
    4. Rothman Philip A, 2008. "Reconsideration of the Markov Chain Evidence on Unemployment Rate Asymmetry," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-18, September.
    5. Ubilava, David & Helmers, C Gustav, 2012. "Forecasting ENSO with a smooth transition autoregressive model," MPRA Paper 36890, University Library of Munich, Germany.
    6. Carstensen, Kai & Wohlrabe, Klaus & Ziegler, Christina, 2011. "Predictive ability of business cycle indicators under test: A case study for the Euro area industrial production," Munich Reprints in Economics 19953, University of Munich, Department of Economics.
    7. Pär Österholm, 2010. "Improving Unemployment Rate Forecasts Using Survey Data," Finnish Economic Papers, Finnish Economic Association, vol. 23(1), pages 16-26, Spring.
    8. Emilio Zanetti Chini, 2017. "Generalizing Smooth Transition Autoregressions," DEM Working Papers Series 138, University of Pavia, Department of Economics and Management.
    9. Charalampos Stasinakis & Georgios Sermpinis & Konstantinos Theofilatos & Andreas Karathanasopoulos, 2016. "Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 47(4), pages 569-587, April.
    10. M. de Carvalho & K. F. Turkman & A. Rua, 2013. "Dynamic threshold modelling and the US business cycle," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(4), pages 535-550, August.
    11. Simionescu Mihaela, 2015. "Kalman Filter or VAR Models to Predict Unemployment Rate in Romania?," Naše gospodarstvo/Our economy, Sciendo, vol. 61(3), pages 3-21, June.
    12. Barnichon, Regis & Garda, Paula, 2015. "Forecasting Unemployment across Countries: the Ins and Outs," CEPR Discussion Papers 10910, C.E.P.R. Discussion Papers.
    13. 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.
    14. Donya Rahmani & Damien Fay, 2022. "A state‐dependent linear recurrent formula with application to time series with structural breaks," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 43-63, January.
    15. Pincheira, Pablo & Hernández, Ana María, 2019. "Forecasting Unemployment Rates with International Factors," MPRA Paper 97855, University Library of Munich, Germany.
    16. Tanujit Chakraborty & Ashis Kumar Chakraborty & Munmun Biswas & Sayak Banerjee & Shramana Bhattacharya, 2021. "Unemployment Rate Forecasting: A Hybrid Approach," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 183-201, January.
    17. Ubilava, David & Helmers, Claes Gustav, 2011. "The ENSO Impact on Predicting World Cocoa Prices," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103528, Agricultural and Applied Economics Association.
    18. 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.
    19. Regis Barnichon & Christopher J. Nekarda, 2012. "The Ins and Outs of Forecasting Unemployment: Using Labor Force Flows to Forecast the Labor Market," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 83-131.
    20. Muneeb Ahmad & Yousaf Ali Khan & Chonghui Jiang & Syed Jawad Haider Kazmi & Syed Zaheer Abbas, 2023. "The impact of COVID‐19 on unemployment rate: An intelligent based unemployment rate prediction in selected countries of Europe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 528-543, January.
    21. Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Georgios Sermpinis & Charalampos Stasinakis & Konstantinos Theofilatos & Andreas Karathanasopoul, 2014. "Inflation and Unemployment Forecasting with Genetic Support Vector Regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 471-487, September.

  5. Costas Milas & Phil Rothman, 2005. "Multivariate STAR Unemployment Rate Forecasts," Econometrics 0502010, University Library of Munich, Germany.

    Cited by:

    1. Mihai Mutascu & Scott Hegerty, 2023. "Predicting the contribution of artificial intelligence to unemployment rates: an artificial neural network approach," Post-Print hal-04273887, HAL.

  6. Phillip Rothman & Dick van Dijk & Philip Hans Franses, 2000. "A Multivariate STAR Analysis of the Relationship Between Money and Output," Working Papers 0012, East Carolina University, Department of Economics.

    Cited by:

    1. Jonathan B. Hill, 2004. "Consistent LM-Tests for Linearity Against Compound Smooth Transition Alternatives," Econometric Society 2004 North American Summer Meetings 42, Econometric Society.
    2. Randall E. Parker & Phillip Rothman & Original: August 2000. This version: June 2003., "undated". "An Examination of the Asymmetric Effects of Money Supply Shocks in the Pre-World War I and Interwar Periods," Working Papers 0011, East Carolina University, Department of Economics.
    3. Gabriella Legrenzi & Costas Milas, 2004. "Non-linear real exchange rate effects in the UK labour market," International Finance 0411007, University Library of Munich, Germany.
    4. Dimitris K. Christopoulos & Miguel A. León-Ledesma, 2008. "Testing for Granger (non-)causality in a time-varying coefficient VAR model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(4), pages 293-303.
    5. Corradi, Valentina & Swanson, Norman R., 2002. "A consistent test for nonlinear out of sample predictive accuracy," Journal of Econometrics, Elsevier, vol. 110(2), pages 353-381, October.
    6. Jawadi Fredj & Koubaa Yousra, 2004. "Threshold Cointegration between Stock Returns : An application of STECM Models," Econometrics 0412001, University Library of Munich, Germany.
    7. Robert Sollis, 2005. "Evidence on purchasing power parity from univariate models: the case of smooth transition trend-stationarity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 79-98.
    8. Jonathan B. Hill, 2004. "Efficient Tests of Long-Run Causation in Trivariate VAR Processes with a Rolling Window Study of the Money-Income Relationship," Macroeconomics 0407013, University Library of Munich, Germany, revised 15 Feb 2006.
    9. Costas Milas & Phil Rothman, 2005. "Multivariate STAR Unemployment Rate Forecasts," Econometrics 0502010, University Library of Munich, Germany.
    10. Mendoza Lugo, Omar & Pedauga, Luis Enrique, 2006. "Efecto transferencia (pass-through) del tipo de cambio en los precios de bienes y servicios en Venezuela [Exchange rate pass-through on prices of goods and services in Venezuela]," MPRA Paper 14874, University Library of Munich, Germany.
    11. Turuntseva, M. & Zyamalov, V., 2016. "Stock Markets under the Changing Terms of Trade," Journal of the New Economic Association, New Economic Association, vol. 31(3), pages 93-109.
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    1. Coakley, Jerry & Fuertes, Ana-Maria & Perez, Maria-Teresa, 2003. "Numerical issues in threshold autoregressive modeling of time series," Journal of Economic Dynamics and Control, Elsevier, vol. 27(11-12), pages 2219-2242, September.

  8. Philip Rothman, 1999. "Time Irreversible Unemployment Rates," Working Papers 9903, East Carolina University, Department of Economics.

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    1. Caporale, Guglielmo Maria & Gil-Alana, Luis A., 2004. "Non-linearities and fractional integration in the US unemployment rate," HWWA Discussion Papers 259, Hamburg Institute of International Economics (HWWA).

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    8. Tsangyao Chang & Chia-hao Lee & Pei-I Chou, 2011. "Purchasing power parity in G-7 countries: Further evidence based on ADL test for threshold cointegration," Economics Bulletin, AccessEcon, vol. 31(2), pages 1172-1182.
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    1. Barkoulas, John T., 2008. "Testing for deterministic monetary chaos: Metric and topological diagnostics," Chaos, Solitons & Fractals, Elsevier, vol. 38(4), pages 1013-1024.

  11. Rothman, Philip, 1988. "Further Evidence On The Asymmetric Behavior Of Unemployment Rates Over The Business Cycle," Working Papers 88-23, C.V. Starr Center for Applied Economics, New York University.

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    1. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
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    3. Allan D. Brunner, 1994. "On the dynamic properties of asymmetric models of real GNP," International Finance Discussion Papers 489, Board of Governors of the Federal Reserve System (U.S.).
    4. van Dijk, D.J.C. & Franses, Ph.H.B.F., 1997. "Modelling Multiple Regimes in the Business Cycle," Econometric Institute Research Papers EI 9734/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Gbaguidi DAVID, 2011. "Expectations Impact On The Effectiveness Of The Inflation-Real Activity Trade-Off," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 141-181.
    6. Steven Cook & Alan Speight, 2006. "International Business Cycle Asymmetry and Time Irreversible Nonlinearities," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(10), pages 1051-1065.
    7. Laliotis, Ioannis & Stavropoulou, Charitini, 2017. "Crises and mortality: Does the level of unemployment matter?," MPRA Paper 77873, University Library of Munich, Germany.
    8. Saafi Sami & Farhat Abdeljelil & Haj Mohamed Meriem Bel, 2015. "Testing the relationships between shadow economy and unemployment: empirical evidence from linear and nonlinear tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 585-608, December.
    9. Beare, Brendan K. & Seo, Juwon, 2014. "Time Irreversible Copula-Based Markov Models," Econometric Theory, Cambridge University Press, vol. 30(5), pages 923-960, October.
    10. Wan Shin, Dong & Lee, Oesook, 2003. "An instrumental variable approach for tests of unit roots and seasonal unit roots in asymmetric time series models," Journal of Econometrics, Elsevier, vol. 115(1), pages 29-52, July.
    11. Zanetti Chini, Emilio, 2018. "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," International Journal of Forecasting, Elsevier, vol. 34(4), pages 711-732.
    12. Alain Maurin & Sébastien Mathouraparsad & Roland Craigwell, 2011. "Unemployment hysteresis in the English-speaking Caribbean: evidence from non-linear models," Post-Print hal-04014790, HAL.
    13. Goodwin, Barry K. & Holt, Matthew T. & Prestemon, Jeffrey P., 2019. "Nonlinear exchange rate pass-through in timber products: The case of oriented strand board in Canada and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    14. Pérez-Alonso Alicia & Di Sanzo Silvestro, 2010. "Unemployment and Hysteresis: A Nonlinear Unobserved Components Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(1), pages 1-29, December.
    15. Petre CARAIANI, 2015. "Testing For Nonlinearity In Unemployment Rates Via Delay Vector Variance," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 81-92, March.
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    18. Altissimo, F. & Violante, G.L., 1998. "Nonlinear VAR: Some Theory and an Application to the US GNP and Unemployment," Papers 338, Banca Italia - Servizio di Studi.
    19. Hoover, Gary A. & Giedeman, Daniel C. & Dibooglu, Sel, 2009. "Income inequality and the business cycle: A threshold cointegration approach," Economic Systems, Elsevier, vol. 33(3), pages 278-292, September.
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    23. Caporale, Guglielmo Maria & Gil-Alana, Luis A., 2004. "Non-linearities and fractional integration in the US unemployment rate," HWWA Discussion Papers 259, Hamburg Institute of International Economics (HWWA).
    24. Jordá, Óscar, 1997. "Testing nonlinearity: decision rules for selecting between logistic and exponential star models," DES - Working Papers. Statistics and Econometrics. WS 6216, Universidad Carlos III de Madrid. Departamento de Estadística.
    25. 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.
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    30. Emilio Zanetti Chini, 2017. "Generalizing Smooth Transition Autoregressions," DEM Working Papers Series 138, University of Pavia, Department of Economics and Management.
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    35. Aysegul Corakci & Tolga Omay & Mübariz Hasanov, 2022. "Hysteresis and stochastic convergence in Eurozone unemployment rates: evidence from panel unit roots with smooth breaks and asymmetric dynamics," Oeconomia Copernicana, Institute of Economic Research, vol. 13(1), pages 11-55, March.
    36. Oleg Korenok & Bruce Mizrach, 2004. "The Microeconomics of Macroeconomic Asymmetries: Sectoral Driving Forces and Firm Level Characteristics," Computing in Economics and Finance 2004 266, Society for Computational Economics.
    37. McKay, Alisdair, 2006. "The Brevity and Violence of Contractions and Expansions," CEPR Discussion Papers 5756, C.E.P.R. Discussion Papers.
    38. Bec, Frédérique & Bouabdallah, Othman & Ferrara, Laurent, 2014. "The way out of recessions: A forecasting analysis for some Euro area countries," International Journal of Forecasting, Elsevier, vol. 30(3), pages 539-549.
    39. Luis A. Gil-Alana & Guglielmo M. Caporale, 2008. "Modelling the US, the UK and Japanese unemployment rates. Fractional integrationand structural breaks," Faculty Working Papers 11/08, School of Economics and Business Administration, University of Navarra.
    40. Mira, Santiago, 1995. "Nonlinear time series models: consistency and asymptotic normality of nls under new conditions," DES - Working Papers. Statistics and Econometrics. WS 6202, Universidad Carlos III de Madrid. Departamento de Estadística.
    41. Congressional Budget Office, 2022. "A Markov-Switching Model of the Unemployment Rate: Working Paper 2022-05," Working Papers 57582, Congressional Budget Office.
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    43. Ghosn, Sandra, 2014. "Le rôle de la psychologie dans les dynamiques de la production, des inégalités et de la redistribution," Economics Thesis from University Paris Dauphine, Paris Dauphine University, number 123456789/14330 edited by Jacques, Jean-François.
    44. Alan Speight, 1997. "Testing for business cycle asymmetry: some international evidence," Applied Economics Letters, Taylor & Francis Journals, vol. 4(10), pages 603-606.
    45. D. Jones & Maurice Peat & Max Stevenson, 1996. "Does the Process of Spatial Aggregation of U.K. Unemplyment Rate Series Serve to Induce or Remove Evidence of Asymmetry in the Business Cycle," Working Paper Series 67, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    46. Kiani, Khurshid M., 2016. "On business cycle fluctuations in USA macroeconomic time series," Economic Modelling, Elsevier, vol. 53(C), pages 179-186.
    47. 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.
    48. 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.
    49. Domian, Dale L. & Louton, David A., 1995. "Business cycle asymmetry and the stock market," The Quarterly Review of Economics and Finance, Elsevier, vol. 35(4), pages 451-466.
    50. Ayman Mnasri & Zouhair Mrabet & Mouyad Alsamara, 2023. "A new quadratic asymmetric error correction model: does size matter?," Empirical Economics, Springer, vol. 65(1), pages 33-64, July.
    51. Max Stevenson & Maurice Peat, 2000. "Forecasting Australian Unemployment Rates," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 4(1), pages 41-55, March.
    52. Chen, Wei-Shing, 2011. "Use of recurrence plot and recurrence quantification analysis in Taiwan unemployment rate time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(7), pages 1332-1342.
    53. João Sousa Andrade, 2007. "Uma Aplicação da Lei de Okun em Portugal," GEMF Working Papers 2007-04, GEMF, Faculty of Economics, University of Coimbra.
    54. Shahbaba Babak, 2009. "Discovering Hidden Structures Using Mixture Models: Application to Nonlinear Time Series Processes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(2), pages 1-21, May.
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    58. Paramsothy Silvapulle & Imad A. Moosa & Mervyn J. Silvapulle, 2004. "Asymmetry in Okun's law," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 37(2), pages 353-374, May.
    59. Bradley Ewing & William Levernier & Farooq Malik, 2005. "Modeling Unemployment Rates by Race and Gender: A Nonlinear Time Series Approach," Eastern Economic Journal, Eastern Economic Association, vol. 31(3), pages 333-347, Summer.
    60. Gbaguidi, David Sedo, 2011. "Regime Switching in a New Keynesian Phillips Curve with Non-zero Steady-state Inflation Rate," MPRA Paper 35481, University Library of Munich, Germany.
    61. Hansen,B.E., 1999. "Testing for linearity," Working papers 7, Wisconsin Madison - Social Systems.
    62. Domenico Ferraro, 2018. "The Asymmetric Cyclical Behavior of the U.S. Labor Market," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 145-162, October.
    63. João Sousa Andrade, 2009. "The PIGS, does the Group Exist? An empirical macroeconomic analysis based on the Okun Law," GEMF Working Papers 2009-11, GEMF, Faculty of Economics, University of Coimbra.
    64. Gbaguidi, David, 2012. "La courbe de Phillips : temps d’arbitrage et/ou arbitrage de temps," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(1), pages 87-119, mars.
    65. Sami Saafi & Meriem Haj mohamed & Abdeljelil Farhat, 2015. "Is there a causal relationship between unemployment and informal economy in Tunisia: evidence from linear and non-linear Granger causality," Economics Bulletin, AccessEcon, vol. 35(2), pages 1191-1204.
    66. Chi-Young Choi & Alexander Chudik, 2017. "Geographic Inequality of Economic Well-being among U.S. Cities: Evidence from Micro Panel Data," Globalization Institute Working Papers 330, Federal Reserve Bank of Dallas.
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  12. Ramsey, J.B. & Sayers, C.L. & Rothman, P., 1988. "The Statistical Properties Of Dimension Calculations Using Small Data Sets: Some Economic Applications," Papers 15, Houston - Department of Economics.

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    1. M. Matilla-Garcia & P. Sanz & F. J. Vazquez, 2004. "Dimension estimation with the BDS-G statistic," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1219-1223.
    2. Eduardo Pozo & Lucia Amboj, 2001. "Noise reduction methods and the Grassberger-Procaccia algorithm. A simulation study," Applied Economics Letters, Taylor & Francis Journals, vol. 8(2), pages 71-75.
    3. William Barnett & Apostolos Serletis & Demitre Serletis, 2012. "Nonlinear and Complex Dynamics in Economics," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201238, University of Kansas, Department of Economics, revised Sep 2012.
    4. 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.
    5. William Barnett & Apostolos Serletis, 2012. "Martingales, Nonlinearity, And Chaos," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201225, University of Kansas, Department of Economics, revised Sep 2012.
    6. Artem Prokhorov, 2008. "Nonlinear dynamics and chaos theory in economics: a historical perspective (in Russian)," Quantile, Quantile, issue 4, pages 79-92, March.
    7. Andreou, Andreas S. & Zombanakis, George A. & Georgopoulos, E. F. & Likothanassis, S. D., 1998. "Forecasting Exchange-Rates via Local Approximation Methods and Neural Networks," MPRA Paper 17764, University Library of Munich, Germany.
    8. Rothman, Philip, 1995. "Chaotic dynamics. Theory and applications to economics : Alfredo Medio, (Cambridge University Press, Cambridge 1992) pp. xv + 344, $54.95," Journal of Economic Behavior & Organization, Elsevier, vol. 26(2), pages 308-310, March.
    9. Baillie Richard T. & Kapetanios George, 2016. "On the estimation of short memory components in long memory time series models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 365-375, September.
    10. James B. Bullard & Alison Butler, 1992. "Nonlinearity and chaos in economic models: implications for policy decisions," Working Papers 1991-002, Federal Reserve Bank of St. Louis.
    11. Weiss, Michael D., 1991. "Nonlinear and Chaotic Dynamics: An Economist's Guide," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 43(3), pages 1-16.
    12. Saeed Moshiri & Faezeh Foroutan, 2006. "Forecasting Nonlinear Crude Oil Futures Prices," The Energy Journal, , vol. 27(4), pages 81-96, October.
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    22. Marisa Faggini, 2011. "Chaotic Time Series Analysis in Economics: Balance and Perspectives," Working papers 25, Former Department of Economics and Public Finance "G. Prato", University of Torino.
    23. Nijkamp, P. & Poot, J., 1991. "Lessons from non-linear dynamic economics," Serie Research Memoranda 0105, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    24. Philip Rothman, "undated". "Table of Contents, List of Contributors, and Introduction to NONLINEAR TIME SERIES ANALYSIS OF ECONOMIC AND FINANCIAL DATA, Kluwer Academic Press, edited," Working Papers 9812, East Carolina University, Department of Economics.
    25. Mayer-Foulkes, David, 1995. "A statistical correlation dimension," Journal of Empirical Finance, Elsevier, vol. 2(3), pages 277-293, September.
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    28. Barkoulas, John T., 2008. "Testing for deterministic monetary chaos: Metric and topological diagnostics," Chaos, Solitons & Fractals, Elsevier, vol. 38(4), pages 1013-1024.
    29. Brock, W.A. & Hommes, C.H., 1997. "Models of Compelxity in Economics and Finance," Working papers 9706, Wisconsin Madison - Social Systems.
    30. Bacsi, Zsuzsanna, 1997. "Modelling chaotic behaviour in agricultural prices using a discrete deterministic nonlinear price model," Agricultural Systems, Elsevier, vol. 55(3), pages 445-459, November.
    31. Harrison, Robert G. & Yu, Dejin & Oxley, Les & Lu, Weiping & George, Donald, 1999. "Non-linear noise reduction and detecting chaos: some evidence from the S&P Composite Price Index," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 497-502.
    32. Ioannis Andreadis & Athanasios D. Fragkou & Theodoros E. Karakasidis & Apostolos Serletis, 2023. "Nonlinear dynamics in Divisia monetary aggregates: an application of recurrence quantification analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-17, December.
    33. Moosavi Mohseni, Reza & Kilicman, Adem, 2014. "Hopf bifurcation in an open monetary economic system: Taylor versus inflation targeting rules," Chaos, Solitons & Fractals, Elsevier, vol. 61(C), pages 8-12.
    34. Halkos, George & Tsilika, Kyriaki, 2014. "Nonlinear time series analysis of annual temperatures concerning the global Earth climate," MPRA Paper 59140, University Library of Munich, Germany.
    35. Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020. "Using entropy to assess dynamic behaviour of long-term copper price," Resources Policy, Elsevier, vol. 66(C).
    36. Costas Siriopoulos & Alexandros Leontitsis, 2002. "Nonlinear Noise Estimation in International Capital Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 6(1), pages 43-63, March.
    37. C. A. Tapia Cortez & J. Coulton & C. Sammut & S. Saydam, 2018. "Determining the chaotic behaviour of copper prices in the long-term using annual price data," Palgrave Communications, Palgrave Macmillan, vol. 4(1), pages 1-13, December.
    38. Cecen, A. Aydin & Erkal, Cahit, 1996. "Distinguishing between stochastic and deterministic behavior in high frequency foreign exchange rate returns: Can non-linear dynamics help forecasting?," International Journal of Forecasting, Elsevier, vol. 12(4), pages 465-473, December.
    39. Leontitsis, Alexandros & Vorlow, Constantinos E., 2006. "Accounting for outliers and calendar effects in surrogate simulations of stock return sequences," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 368(2), pages 522-530.
    40. Miśkiewicz-Nawrocka Monika, 2014. "The Application of Random Noise Reduction By Nearest Neighbor Method To Forecasting of Economic Time Series," Folia Oeconomica Stetinensia, Sciendo, vol. 13(2), pages 96-108, July.
    41. Richard T. Baillie & Aydin A. Cecen & Young-Wook Han, 2000. "High Frequency Deutsche Mark-US Dollar Returns: FIGARCH Representations and Non Linearities," Multinational Finance Journal, Multinational Finance Journal, vol. 4(3-4), pages 247-267, September.
    42. Brooks, Chris & Hinich, Melvin J., 1999. "Cross-correlations and cross-bicorrelations in Sterling exchange rates," Journal of Empirical Finance, Elsevier, vol. 6(4), pages 385-404, October.
    43. Rothman Philip, 2016. "Introduction to Studies in Nonlinear Dynamics & Econometrics Issue in Honor of James B. Ramsey," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 343-346, September.
    44. Vogl, Markus & Kojić, Milena & Mitić, Petar, 2024. "Dynamics of green and conventional bond markets: Evidence from the generalized chaos analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 633(C).
    45. Barkoulas, John T. & Chakraborty, Atreya & Ouandlous, Arav, 2012. "A metric and topological analysis of determinism in the crude oil spot market," Energy Economics, Elsevier, vol. 34(2), pages 584-591.
    46. Aydin Cecen, A. & Erkal, Cahit, 1996. "Distinguishing between stochastic and deterministic behavior in foreign exchange rate returns: Further evidence," Economics Letters, Elsevier, vol. 51(3), pages 323-329, June.
    47. Takala, Kari & Virén, Matti, 1994. "Chaos and nonlinear dynamics: evidence from Finland," Bank of Finland Research Discussion Papers 11/1994, Bank of Finland.

  13. Ramsey, James B. & Rothman, Philip, 1988. "Characterization Of The Time Irreversibility Of Economic Time Series: Estimators And Test Statistics," Working Papers 88-39, C.V. Starr Center for Applied Economics, New York University.

    Cited by:

    1. P. Blanc & J. Donier & J.-P. Bouchaud, 2017. "Quadratic Hawkes processes for financial prices," Quantitative Finance, Taylor & Francis Journals, vol. 17(2), pages 171-188, February.
    2. Philip Rothman, "undated". "Higher-Order Residual Analysis for Simple Bilinear and Threshold Autoregressive Models with the TR Test," Working Papers 9813, East Carolina University, Department of Economics.
    3. Takala, Kari & Virén, Matti, 1995. "Testing nonlinear dynamics, long memory and chaotic behaviour with macroeconomic data," Bank of Finland Research Discussion Papers 9/1995, Bank of Finland.
    4. Pierre Blanc & Jonathan Donier & Jean-Philippe Bouchaud, 2015. "Quadratic Hawkes processes for financial prices," Papers 1509.07710, arXiv.org.
    5. Starck, Christian & Virén, Matti, 1992. "Bankruptcies and aggregate economic fluctuations," Bank of Finland Research Discussion Papers 25/1992, Bank of Finland.
    6. Takala, Kari & Viren, Matti, 1996. "Chaos and nonlinear dynamics in financial and nonfinancial time series: Evidence from Finland," European Journal of Operational Research, Elsevier, vol. 93(1), pages 155-172, August.
    7. Gilles Zumbach, 2007. "Time reversal invariance in finance," Papers 0708.4022, arXiv.org.
    8. Li, Jinyang & Shang, Pengjian, 2018. "Time irreversibility of financial time series based on higher moments and multiscale Kullback–Leibler divergence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 502(C), pages 248-255.
    9. Takala, Kari & Virén, Matti, 1994. "Chaos and nonlinear dynamics: evidence from Finland," Bank of Finland Research Discussion Papers 11/1994, Bank of Finland.

  14. Randall E. Parker & Philip Rothman, "undated". "The Current Depth of Recession and Unemployment Rate Forecasts," Working Papers 9729, East Carolina University, Department of Economics.

    Cited by:

    1. Gunnar Bårdsen & Stan Hurn & Zoë McHugh, 2010. "Asymmetric unemployment rate dynamics in Australia," CREATES Research Papers 2010-02, Department of Economics and Business Economics, Aarhus University.
    2. Mihai Mutascu & Scott Hegerty, 2023. "Predicting the contribution of artificial intelligence to unemployment rates: an artificial neural network approach," Post-Print hal-04273887, HAL.
    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. Proietti, Tommaso, 2003. "Forecasting the US unemployment rate," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 451-476, March.
    5. 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.
    6. 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.
    7. Julien Chevallier & Florian Ielpo, 2013. "Cross-market linkages between commodities, stocks and bonds," Applied Economics Letters, Taylor & Francis Journals, vol. 20(10), pages 1008-1018, July.
    8. Chen, Wei-Shing, 2011. "Use of recurrence plot and recurrence quantification analysis in Taiwan unemployment rate time series," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(7), pages 1332-1342.
    9. Das, Anupam & Brown, Leanora & Mcfarlane, Adian, 2023. "Economic Misery and Remittances in Jamaica," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 48(2), pages 33-52, June.
    10. Philip Rothman, 1999. "Time Irreversible Unemployment Rates," Working Papers 9903, East Carolina University, Department of Economics.
    11. Gunnar Bårdsen & Stan Hurn & Zoë McHugh, 2002. "A smooth-transition model of the Australian unemployment rate," Working Paper Series 1002, Department of Economics, Norwegian University of Science and Technology, revised 01 Jul 2003.

  15. Melvin J. Hinich & Philip Rothman, "undated". "A Frequency Domain Test of Time Reversibility," Working Papers 9706, East Carolina University, Department of Economics.

    Cited by:

    1. Yi-Ting Chen & Chung-Ming Kuan, 2002. "Time irreversibility and EGARCH effects in US stock index returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 565-578.
    2. Steven Cook & Alan Speight, 2006. "International Business Cycle Asymmetry and Time Irreversible Nonlinearities," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(10), pages 1051-1065.
    3. Amado Peiro, 2004. "Are business cycles asymmetric? Some European evidence," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 335-342.
    4. Karapanagiotidis, Paul, 2013. "Empirical evidence for nonlinearity and irreversibility of commodity futures prices," MPRA Paper 56801, University Library of Munich, Germany.
    5. Beare, Brendan K. & Seo, Juwon, 2014. "Time Irreversible Copula-Based Markov Models," Econometric Theory, Cambridge University Press, vol. 30(5), pages 923-960, October.
    6. Panagiotidis, Theodore & Pelloni, Gianluigi, 2007. "Nonlinearity In The Canadian And U.S. Labor Markets: Univariate And Multivariate Evidence From A Battery Of Tests," Macroeconomic Dynamics, Cambridge University Press, vol. 11(5), pages 613-637, November.
    7. Coronado-Ramírez, Semei L. & Porras-Serrano, Jesús & Venegas-Martínez, Francisco, 2011. "Estructuras no lineales en mercados eficientes: el caso IBEX-35," Sección de Estudios de Posgrado e Investigación de la Escuela Superios de Economía del Instituto Politécnico Nacional, in: Perrotini-Hernández, Ignacio (ed.), Economía: Teoría y Métodos, volume 1, chapter 8, pages 116-129, Escuela Superior de Economía, Instituto Politécnico Nacional.
    8. Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time reversible?," Working Paper series 22-08, Rimini Centre for Economic Analysis, revised Dec 2022.
    9. Zacharias Psaradakis, 2008. "Assessing Time‐Reversibility Under Minimal Assumptions," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(5), pages 881-905, September.
    10. Barry E. Jones & Travis D. Nesmith, 2006. "Linear cointegration of nonlinear time series with an application to interest rate dynamics," Finance and Economics Discussion Series 2007-03, Board of Governors of the Federal Reserve System (U.S.).
    11. Miguel Artiach, 2011. "Second-order moments of frequency asymmetric cycles," Working Papers. Serie AD 2011-27, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    12. Denisa Roberts & Douglas Patterson, 2018. "A Second Order Cumulant Spectrum Test That a Stochastic Process is Strictly Stationary and a Step Toward a Test for Graph Signal Strict Stationarity," Papers 1801.06727, arXiv.org, revised Mar 2020.
    13. Chen, Yi-Ting & Chou, Ray Y. & Kuan, Chung-Ming, 2000. "Testing time reversibility without moment restrictions," Journal of Econometrics, Elsevier, vol. 95(1), pages 199-218, March.
    14. Phillip Wild & John Foster, 2012. "On testing for non-linear and time irreversible probabilistic structure in high frequency ASX financial time series data," Discussion Papers Series 466, School of Economics, University of Queensland, Australia.
    15. Randal J. Verbrugge, 1998. "A cross-country investigation of macroeconomic asymmetries," Macroeconomics 9809017, University Library of Munich, Germany, revised 30 Sep 1998.
    16. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Testing for sign and amplitude asymmetries using threshold autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 30(4), pages 623-654, April.
    17. McCAUSLAND, William J., 2004. "Time Reversibility of Stationary Regular Finite State Markov Chains," Cahiers de recherche 09-2004, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    18. Hinich, Melvin J. & Foster, John & Wild, Phillip, 2006. "Structural change in macroeconomic time series: A complex systems perspective," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 136-150, March.
    19. Fong, Wai Mun, 2003. "Time reversibility tests of volume-volatility dynamics for stock returns," Economics Letters, Elsevier, vol. 81(1), pages 39-45, October.
    20. Tommaso Proietti, 2020. "Peaks, Gaps, and Time Reversibility of Economic Time Series," CEIS Research Paper 492, Tor Vergata University, CEIS, revised 17 Jun 2020.
    21. Barry E. Jones & Travis D. Nesmith, 1999. "Tests for non-linear dynamics in systems of non-stationary economic time series: the case of short-term US interest rates," Finance and Economics Discussion Series 1999-55, Board of Governors of the Federal Reserve System (U.S.).
    22. Shibin Zhang, 2023. "A copula spectral test for pairwise time reversibility," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 75(5), pages 705-729, October.
    23. Iglói, E. & Terdik, Gy., 2014. "When the bispectrum is real-valued," Statistics & Probability Letters, Elsevier, vol. 95(C), pages 1-5.

  16. Philip Rothman, "undated". "More Uncertainty About the Unit Root in U.S. Real GNP," Working Papers 9616, East Carolina University, Department of Economics.

    Cited by:

    1. César Calderón & Roberto Duncan, 2003. "Purchasing Power Parity in an Emerging Market Economy: A Long-Span Study for Chile," Working Papers Central Bank of Chile 215, Central Bank of Chile.
    2. Athanasios Orphanides & Simon van Norden, 1999. "The Reliability of Output Gap Estimates in Real Time," Macroeconomics 9907006, University Library of Munich, Germany.
    3. Kurozumi, Eiji, 2009. "Construction of Stationarity Tests with Less Size Distortions," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 50(1), pages 87-105, June.
    4. Caner, M. & Kilian, L., 2001. "Size distortions of tests of the null hypothesis of stationarity: evidence and implications for the PPP debate," Journal of International Money and Finance, Elsevier, vol. 20(5), pages 639-657, October.
    5. Eiji Kurozumi & Shinya Tanaka, 2010. "Reducing the size distortion of the KPSS test," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(6), pages 415-426, November.
    6. Darné, Olivier, 2009. "The uncertain unit root in real GNP: A re-examination," Journal of Macroeconomics, Elsevier, vol. 31(1), pages 153-166, March.
    7. James Morley & Irina B. Panovska & Tara M. Sinclair, 2014. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41B, School of Economics, The University of New South Wales.
    8. James Morley & Irina B. Panovska & Tara M. Sinclair, 2013. "Testing Stationarity for Unobserved Components Models," Discussion Papers 2012-41A, School of Economics, The University of New South Wales.
    9. Rómulo Chumacero, 2001. "Testing for unit roots using economics," Working Papers Central Bank of Chile 102, Central Bank of Chile.

  17. Philip Rothman, "undated". "Higher-Order Residual Analysis for Simple Bilinear and Threshold Autoregressive Models with the TR Test," Working Papers 9813, East Carolina University, Department of Economics.

    Cited by:

    1. Jorge Belaire-Franch & Dulce Contreras, 2004. "A power comparison among tests for time reversibility," Economics Bulletin, AccessEcon, vol. 3(23), pages 1-17.
    2. Belaire-Franch, Jorge & Contreras, Dulce, 2003. "Tests for time reversibility: a complementarity analysis," Economics Letters, Elsevier, vol. 81(2), pages 187-195, November.
    3. Philip Rothman, 1999. "Time Irreversible Unemployment Rates," Working Papers 9903, East Carolina University, Department of Economics.

  18. Nuno Crato & Philip Rothman, "undated". "Measuring Hysteresis in Unemployment Rates with Long Memory Models," Working Papers 9619, East Carolina University, Department of Economics.

    Cited by:

    1. Aaron D. Smallwood & Paul M. Beaumont, 2002. "An Asymptotic MLE Approach to Modelling Multiple Frequency GARMA Models," Computing in Economics and Finance 2002 285, Society for Computational Economics.
    2. 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.
    3. van Dijk, Dick & Franses, Philip Hans & Paap, Richard, 2002. "A nonlinear long memory model, with an application to US unemployment," Journal of Econometrics, Elsevier, vol. 110(2), pages 135-165, October.
    4. Luis Alberiko Gil-Alana & Pedro Garcia-del-Barrio, 2006. "New Revelations about Unemployment Persistence in Spain," Faculty Working Papers 10/06, School of Economics and Business Administration, University of Navarra.
    5. Guglielmo Maria Caporale & Luis A. Gil-Alana & Yuliya Lovcha, 2013. "Testing Unemployment Theories: A Multivariate Long Memory Approach," Discussion Papers of DIW Berlin 1345, DIW Berlin, German Institute for Economic Research.
    6. Monge, Manuel, 2021. "U.S. historical initial jobless claims. Is it different with the coronavirus crisis? A fractional integration analysis," International Economics, Elsevier, vol. 167(C), pages 88-95.
    7. Luis A. Gil-Alana & Guglielmo M. Caporale, 2008. "Modelling the US, the UK and Japanese unemployment rates. Fractional integrationand structural breaks," Faculty Working Papers 11/08, School of Economics and Business Administration, University of Navarra.
    8. Hassler Uwe & Wolters Jürgen, 2009. "Hysteresis in Unemployment Rates? A Comparison between Germany and the US," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 229(2-3), pages 119-129, April.
    9. Coakley Jerry & Fuertes Ana-María & Zoega Gylfi, 2001. "Evaluating the Persistence and Structuralist Theories of Unemployment from a Nonlinear Perspective," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(3), pages 1-25, October.
    10. 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.
    11. P. Garcia-del-Barrio & L. A. Gil-Alana, 2009. "New revelations about unemployment persistence in Spain: time-series and panel data approaches using regional data," Applied Economics, Taylor & Francis Journals, vol. 41(2), pages 219-236.

  19. Philip Rothman, "undated". "Forecasting Asymmetric Unemployment Rates," Working Papers 9618, East Carolina University, Department of Economics.

    Cited by:

    1. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    2. Philippe J. Deschamps, 2008. "Comparing smooth transition and Markov switching autoregressive models of US unemployment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(4), pages 435-462.
    3. van Dijk, D.J.C. & Terasvirta, T. & Franses, Ph.H.B.F., 2000. "Smooth transition autoregressive models - A survey of recent developments," Econometric Institute Research Papers EI 2000-23/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Gunnar Bårdsen & Stan Hurn & Zoë McHugh, 2010. "Asymmetric unemployment rate dynamics in Australia," CREATES Research Papers 2010-02, Department of Economics and Business Economics, Aarhus University.
    5. Philip Rothman, "undated". "Higher-Order Residual Analysis for Simple Bilinear and Threshold Autoregressive Models with the TR Test," Working Papers 9813, East Carolina University, Department of Economics.
    6. Juan Jiménez-Martin & M. Robles-Fernandez, 2010. "PPP: Delusion or Reality? Evidence from a Nonlinear Analysis," Open Economies Review, Springer, vol. 21(5), pages 679-704, November.
    7. Saafi Sami & Farhat Abdeljelil & Haj Mohamed Meriem Bel, 2015. "Testing the relationships between shadow economy and unemployment: empirical evidence from linear and nonlinear tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 585-608, December.
    8. van Dijk, Dick & Franses, Philip Hans & Paap, Richard, 2002. "A nonlinear long memory model, with an application to US unemployment," Journal of Econometrics, Elsevier, vol. 110(2), pages 135-165, October.
    9. Crespo-Cuaresma, Jesus, 2000. "Forecasting European GDP Using Self-Exciting Threshold Autoregressive Models. A Warning," Economics Series 79, Institute for Advanced Studies.
    10. Zanetti Chini, Emilio, 2018. "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," International Journal of Forecasting, Elsevier, vol. 34(4), pages 711-732.
    11. Daniel M. Chin & John Geweke & Preston J. Miller, 2000. "Predicting turning points," Staff Report 267, Federal Reserve Bank of Minneapolis.
    12. 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.
    13. Dan Chin & John Geweke & Preston Miller, 2000. "Predicting Turning Points: Technical Paper 2000-3," Working Papers 13337, Congressional Budget Office.
    14. James D. Hamilton, 2005. "What's real about the business cycle?," Review, Federal Reserve Bank of St. Louis, vol. 87(Jul), pages 435-452.
    15. Maurice Peat & Max Stevenson, 1995. "Testing for Nonlinearities in Economic and Financial Time Series," Working Paper Series 48, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    16. H. Burcu Gurcihan & Gonul Sengul & Arzu Yavuz, 2013. "A Quest for Leading Indicators of the Turkish Unemployment Rate," Working Papers 1341, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    17. Yamei Liu & Walter Enders, 2003. "Out‐of‐Sample Forecasts and Nonlinear Model Selection with an Example of the Term Structure of Interest Rates," Southern Economic Journal, John Wiley & Sons, vol. 69(3), pages 520-540, January.
    18. Yongmiao Hong & Tae-Hwy Lee & Yuying Sun & Shouyang Wang & Xinyu Zhang, 2017. "Time-varying Model Averaging," Working Papers 202001, University of California at Riverside, Department of Economics.
    19. 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.
    20. Lahiani, A. & Scaillet, O., 2009. "Testing for threshold effect in ARFIMA models: Application to US unemployment rate data," International Journal of Forecasting, Elsevier, vol. 25(2), pages 418-428.
    21. 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.
    22. Urmat Dzhunkeev, 2022. "Forecasting Unemployment in Russia Using Machine Learning Methods," Russian Journal of Money and Finance, Bank of Russia, vol. 81(1), pages 73-87, March.
    23. Parker Randall E. & Rothman Philip, 1998. "The Current Depth-of-Recession and Unemployment-Rate Forecasts," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(4), pages 1-10, January.
    24. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2011. "Forecasting Nevada Gross Gaming Revenue and Taxable Sales Using Coincident and Leading Employment Indexes," Working Papers 1103, University of Nevada, Las Vegas , Department of Economics.
    25. Mihai Mutascu & Scott Hegerty, 2023. "Predicting the contribution of artificial intelligence to unemployment rates: an artificial neural network approach," Post-Print hal-04273887, HAL.
    26. Caporale, Guglielmo Maria & Gil-Alana, Luis A., 2004. "Non-linearities and fractional integration in the US unemployment rate," HWWA Discussion Papers 259, Hamburg Institute of International Economics (HWWA).
    27. Andreas Karatahansopoulos & Georgios Sermpinis & Jason Laws & Christian Dunis, 2014. "Modelling and Trading the Greek Stock Market with Gene Expression and Genetic Programing Algorithms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(8), pages 596-610, December.
    28. 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.
    29. Singh, Tarlok, 2014. "On the regime-switching and asymmetric dynamics of economic growth in the OECD countries," Research in Economics, Elsevier, vol. 68(2), pages 169-192.
    30. Pär Österholm, 2010. "Improving Unemployment Rate Forecasts Using Survey Data," Finnish Economic Papers, Finnish Economic Association, vol. 23(1), pages 16-26, Spring.
    31. Michael Dueker & Martin Sola & Fabio Spagnolo, 2006. "Contemporaneous Threshold Autoregressive Models: Estimation, Testing and Forecasting," Department of Economics Working Papers 2006-04, Universidad Torcuato Di Tella.
    32. Emilio Zanetti Chini, 2017. "Generalizing Smooth Transition Autoregressions," DEM Working Papers Series 138, University of Pavia, Department of Economics and Management.
    33. Charalampos Stasinakis & Georgios Sermpinis & Konstantinos Theofilatos & Andreas Karathanasopoulos, 2016. "Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 47(4), pages 569-587, April.
    34. D'Amuri, Francesco/FD & Marcucci, Juri/JM, 2009. ""Google it!" Forecasting the US unemployment rate with a Google job search index," MPRA Paper 18248, University Library of Munich, Germany.
    35. Yoon, Gawon, 2009. "It's all the miners' fault: On the nonlinearity in U.S. unemployment rates," Economic Modelling, Elsevier, vol. 26(6), pages 1449-1454, November.
    36. Julie L. Hotchkiss & John C. Robertson, 2006. "Asymmetric labor force participation decisions over the business cycle: evidence from U.S. microdata," FRB Atlanta Working Paper 2006-08, Federal Reserve Bank of Atlanta.
    37. Liu, Yamei, 2000. "Overfitting and forecasting: linear versus non-linear time series models," ISU General Staff Papers 2000010108000014914, Iowa State University, Department of Economics.
    38. Miquel Clar-Lopez & Jordi López-Tamayo & Raúl Ramos, 2014. "Unemployment forecasts, time varying coefficient models and the Okun’s law in Spanish regions," Economics and Business Letters, Oviedo University Press, vol. 3(4), pages 247-262.
    39. Neugart, Michael, 2004. "Complicated dynamics in a flow model of the labor market," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 57292, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    40. McKay, Alisdair, 2006. "The Brevity and Violence of Contractions and Expansions," CEPR Discussion Papers 5756, C.E.P.R. Discussion Papers.
    41. M. de Carvalho & K. F. Turkman & A. Rua, 2013. "Dynamic threshold modelling and the US business cycle," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 62(4), pages 535-550, August.
    42. Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.
    43. Luis A. Gil-Alana & Guglielmo M. Caporale, 2008. "Modelling the US, the UK and Japanese unemployment rates. Fractional integrationand structural breaks," Faculty Working Papers 11/08, School of Economics and Business Administration, University of Navarra.
    44. Barnichon, Regis & Garda, Paula, 2015. "Forecasting Unemployment across Countries: the Ins and Outs," CEPR Discussion Papers 10910, C.E.P.R. Discussion Papers.
    45. 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.
    46. Miguel Artiach, 2011. "Second-order moments of frequency asymmetric cycles," Working Papers. Serie AD 2011-27, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    47. Costas Milas & Phil Rothman, 2005. "Multivariate STAR Unemployment Rate Forecasts," Econometrics 0502010, University Library of Munich, Germany.
    48. Ludlow, Jorge & Enders, Walter, 2000. "Estimating non-linear ARMA models using Fourier coefficients," International Journal of Forecasting, Elsevier, vol. 16(3), pages 333-347.
    49. 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.
    50. Joon Y. Park & Mototsugu Shintani, 2005. "Testing for a Unit Root against Transitional Autoregressive Models," Vanderbilt University Department of Economics Working Papers 05010, Vanderbilt University Department of Economics.
    51. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working Papers 201230, University of Pretoria, Department of Economics.
    52. Peat, Maurice & Stevenson, Max, 1996. "Asymmetry in the business cycle: Evidence from the Australian labour market," Journal of Economic Behavior & Organization, Elsevier, vol. 30(3), pages 353-368, September.
    53. 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.
    54. 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.
    55. Qin, Ting & Enders, Walter, 2008. "In-sample and out-of-sample properties of linear and nonlinear Taylor rules," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 428-443, March.
    56. D. Jones & Maurice Peat & Max Stevenson, 1996. "Does the Process of Spatial Aggregation of U.K. Unemplyment Rate Series Serve to Induce or Remove Evidence of Asymmetry in the Business Cycle," Working Paper Series 67, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    57. Benoit Bellone, 2005. "Classical Estimation of Multivariate Markov-Switching Models using MSVARlib," Econometrics 0508017, University Library of Munich, Germany.
    58. 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.
    59. Thomas B. King, 2005. "Labor productivity and job-market flows: trends, cycles, and correlations," Supervisory Policy Analysis Working Papers 2005-04, Federal Reserve Bank of St. Louis.
    60. Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
    61. Li, Jing, 2006. "Testing Granger Causality in the presence of threshold effects," International Journal of Forecasting, Elsevier, vol. 22(4), pages 771-780.
    62. Belaire-Franch Jorge & Contreras Dulce, 2003. "An Assessment of International Business Cycle Asymmetries using Clements and Krolzig's Parametric Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(4), pages 1-11, March.
    63. Francesco D'Amuri & Juri Marcucci, 2012. "The predictive power of Google searches in forecasting unemployment," Temi di discussione (Economic working papers) 891, Bank of Italy, Economic Research and International Relations Area.
    64. Kurt Graden Lunsford, 2023. "Business Cycles and Low-Frequency Fluctuations in the US Unemployment Rate," Working Papers 23-19, Federal Reserve Bank of Cleveland.
    65. 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.
    66. Ayman Mnasri & Zouhair Mrabet & Mouyad Alsamara, 2023. "A new quadratic asymmetric error correction model: does size matter?," Empirical Economics, Springer, vol. 65(1), pages 33-64, July.
    67. Max Stevenson & Maurice Peat, 2000. "Forecasting Australian Unemployment Rates," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 4(1), pages 41-55, March.
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    69. Diego Romero‐Ávila & Carlos Usabiaga, 2007. "Unit Root Tests, Persistence, and the Unemployment Rate of the U.S. States," Southern Economic Journal, John Wiley & Sons, vol. 73(3), pages 698-716, January.
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    75. Ginger M. Davis & Katherine B. Ensor, 2007. "Multivariate Time‐Series Analysis With Categorical and Continuous Variables in an Lstr Model," Journal of Time Series Analysis, Wiley Blackwell, vol. 28(6), pages 867-885, November.
    76. Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Georgios Sermpinis & Charalampos Stasinakis & Konstantinos Theofilatos & Andreas Karathanasopoul, 2014. "Inflation and Unemployment Forecasting with Genetic Support Vector Regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 471-487, September.
    77. Christos Katris, 2020. "Prediction of Unemployment Rates with Time Series and Machine Learning Techniques," Computational Economics, Springer;Society for Computational Economics, vol. 55(2), pages 673-706, February.
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  20. Randall E. Parker & Phillip Rothman & Original: August 2000. This version: June 2003., "undated". "An Examination of the Asymmetric Effects of Money Supply Shocks in the Pre-World War I and Interwar Periods," Working Papers 0011, East Carolina University, Department of Economics.

    Cited by:

    1. Nicholas C.S. Sim, 2009. "Modeling Quantile Dependence: A New Look at the Money-Output Relationship," School of Economics and Public Policy Working Papers 2009-34, University of Adelaide, School of Economics and Public Policy.
    2. 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).
    3. Pao‐Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2021. "Do Fed Forecast Errors Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 686-712, June.
    4. Ming Chien Lo & Jeremy M. Piger, 2003. "Is the response of output to monetary policy asymmetric? evidence from a regime-switching coefficients model," Working Papers 2001-022, Federal Reserve Bank of St. Louis.
    5. 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.
    6. Perez, Stephen J. & Siegler, Mark V., 2006. "Agricultural and monetary shocks before the great depression: A graph-theoretic causal investigation," Journal of Macroeconomics, Elsevier, vol. 28(4), pages 720-736, December.
    7. Andersson, Fredrik N. G., 2020. "The Quest for Economic Stability: A Study on Swedish Stabilization Policies 1873–2019," Working Papers 2020:16, Lund University, Department of Economics.
    8. Pragidis, Ioannis & Gogas, Periklis & Tabak, Benjamin, 2013. "Asymmetric Effects of Monetary Policy in the U.S. and Brazil," DUTH Research Papers in Economics 7-2013, Democritus University of Thrace, Department of Economics.
    9. Phil Bodman, "undated". "Are the Effects of Monetary Policy Asymmetric in Australia?," MRG Discussion Paper Series 0406, School of Economics, University of Queensland, Australia.

Articles

  1. Ravazzolo Francesco & Rothman Philip, 2016. "Oil-price density forecasts of US GDP," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(4), pages 441-453, September.

    Cited by:

    1. Nima Nonejad, 2021. "Crude oil price point forecasts of the Norwegian GDP growth rate," Empirical Economics, Springer, vol. 61(5), pages 2913-2930, November.
    2. Nima Nonejad, 2022. "New Findings Regarding the Out-of-Sample Predictive Impact of the Price of Crude Oil on the United States Industrial Production," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 18(1), pages 1-35, March.
    3. Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2021. "Expecting the unexpected: economic growth under stress," Working Papers 202106, University of California at Riverside, Department of Economics.
    4. Aastveit, Knut Are & Anundsen, André K. & Herstad, Eyo I., 2019. "Residential investment and recession predictability," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1790-1799.
    5. Maheu, John M & Yang, Qiao & Song, Yong, 2018. "Oil Price Shocks and Economic Growth: The Volatility Link," MPRA Paper 83779, University Library of Munich, Germany.
    6. Nonejad, Nima, 2021. "The price of crude oil and (conditional) out-of-sample predictability of world industrial production," Journal of Commodity Markets, Elsevier, vol. 23(C).
    7. Akdoğan, Kurmaş, 2020. "Fundamentals versus speculation in oil market: The role of asymmetries in price adjustment?," Resources Policy, Elsevier, vol. 67(C).
    8. Joseph P. Byrne & Marco Lorusso & Bing Xu, 2017. "Oil Prices and Informational Frictions: The Time-Varying Impact of Fundamentals and Expectations," CEERP Working Paper Series 006, Centre for Energy Economics Research and Policy, Heriot-Watt University.
    9. Nonejad, Nima, 2020. "Crude oil price volatility and short-term predictability of the real U.S. GDP growth rate," Economics Letters, Elsevier, vol. 186(C).
    10. Byrne, Joseph P. & Lorusso, Marco & Xu, Bing, 2019. "Oil prices, fundamentals and expectations," Energy Economics, Elsevier, vol. 79(C), pages 59-75.
    11. Nonejad, Nima, 2020. "Crude oil price changes and the United Kingdom real gross domestic product growth rate: An out-of-sample investigation," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).
    12. Nonejad, Nima, 2022. "Understanding the conditional out-of-sample predictive impact of the price of crude oil on aggregate equity return volatility," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).

  2. Francesco Ravazzolo & Philip Rothman, 2013. "Oil and U.S. GDP: A Real‐Time Out‐of‐Sample Examination," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(2‐3), pages 449-463, March.
    See citations under working paper version above.
  3. Mohammad R. Jahan‐Parvar & Xuan Liu & Philip Rothman, 2013. "Equity Returns and Business Cycles in Small Open Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(6), pages 1117-1146, September.
    See citations under working paper version above.
  4. Cheng, Ai-Ru & Jahan-Parvar, Mohammad R. & Rothman, Philip, 2010. "An empirical investigation of stock market behavior in the Middle East and North Africa," Journal of Empirical Finance, Elsevier, vol. 17(3), pages 413-427, June.
    See citations under working paper version above.
  5. Milas, Costas & Rothman, Philip, 2008. "Out-of-sample forecasting of unemployment rates with pooled STVECM forecasts," International Journal of Forecasting, Elsevier, vol. 24(1), pages 101-121.
    See citations under working paper version above.
  6. Rothman Philip A, 2008. "Reconsideration of the Markov Chain Evidence on Unemployment Rate Asymmetry," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(3), pages 1-18, September.

    Cited by:

    1. Luke Hartigan, 2016. "Testing for Symmetry in Weakly Dependent Time Series," Discussion Papers 2016-18, School of Economics, The University of New South Wales.
    2. Yoon, Gawon, 2009. "It's all the miners' fault: On the nonlinearity in U.S. unemployment rates," Economic Modelling, Elsevier, vol. 26(6), pages 1449-1454, November.
    3. Oleg Korenok & Bruce Mizrach, 2004. "The Microeconomics of Macroeconomic Asymmetries: Sectoral Driving Forces and Firm Level Characteristics," Computing in Economics and Finance 2004 266, Society for Computational Economics.
    4. Miguel Artiach, 2011. "Second-order moments of frequency asymmetric cycles," Working Papers. Serie AD 2011-27, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    5. Paul Zimmerman & John Yun & Christopher Taylor, 2013. "Edgeworth Price Cycles in Gasoline: Evidence from the United States," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 42(3), pages 297-320, May.
    6. Petre Caraiani & Emmanuel Haven, 2013. "The Role of Recurrence Plots in Characterizing the Output-Unemployment Relationship: An Analysis," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-11, February.
    7. Regis Barnichon & Christopher J. Nekarda, 2012. "The Ins and Outs of Forecasting Unemployment: Using Labor Force Flows to Forecast the Labor Market," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 83-131.
    8. Francisco Lasso-Valderrama & Héctor M. Zárate-Solano, 2019. "Forecasting the Colombian Unemployment Rate Using Labour Force Flows," Borradores de Economia 1073, Banco de la Republica de Colombia.

  7. Randall E. Parker & Philip Rothman, 2004. "An Examination of the Asymmetric Effects of Money Supply Shocks in the Pre--World War I and Interwar Periods," Economic Inquiry, Western Economic Association International, vol. 42(1), pages 88-100, January.
    See citations under working paper version above.
  8. Rothman, Philip & van Dijk, Dick & , Philip Hans, 2001. "Multivariate Star Analysis Of Money–Output Relationship," Macroeconomic Dynamics, Cambridge University Press, vol. 5(4), pages 506-532, September.

    Cited by:

    1. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    2. Ubilava, David, 2014. "On the Relationship between Financial Instability and Economic Performance: Stressing the Business of Nonlinear Modelling," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170222, Agricultural and Applied Economics Association.
    3. David Ubilava & Matt Holt, 2013. "El Niño southern oscillation and its effects on world vegetable oil prices: assessing asymmetries using smooth transition models," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(2), pages 273-297, April.
    4. Bazán, Walter, 2011. "No-linealidades y asimetrías en el crédito peruano," Working Papers 2011-015, Banco Central de Reserva del Perú.
    5. Wang, Xia & Zheng, Tingguo & Zhu, Yanli, 2014. "Money–output Granger causal dynamics in China," Economic Modelling, Elsevier, vol. 43(C), pages 192-200.
    6. Fredj Jawadi & Catherine Bruneau & Nadia Sghaier, 2009. "Nonlinear Cointegration Relationships Between Non‐Life Insurance Premiums and Financial Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 753-783, September.
    7. Maki, Daiki, 2015. "Wild bootstrap testing for cointegration in an ESTAR error correction model," Economic Modelling, Elsevier, vol. 47(C), pages 292-298.
    8. Goodwin, Barry K. & Holt, Matthew T. & Prestemon, Jeffrey P., 2019. "Nonlinear exchange rate pass-through in timber products: The case of oriented strand board in Canada and the United States," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    9. Dimitris K. Christopoulos & Miguel A. León-Ledesma, 2008. "Testing for Granger (non-)causality in a time-varying coefficient VAR model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(4), pages 293-303.
    10. Michael J. Dueker & Laura E. Jackson & Michael T. Owyang & Martin Sola, 2010. "A Time-Varying Threshold STAR Model with Applications," Working Papers 2010-029, Federal Reserve Bank of St. Louis, revised 10 Aug 2022.
    11. Ubilava, David, 2017. "The ENSO Effect and Asymmetries in Wheat Price Dynamics," World Development, Elsevier, vol. 96(C), pages 490-502.
    12. Cheikh, Nidhaleddine Ben & Zaied, Younes Ben & Mattoussi, Wided, 2023. "Oil price shocks in the age of surging inflation," Energy Economics, Elsevier, vol. 128(C).
    13. Chollete, Loran & Ning, Cathy, 2009. "The Dependence Structure of Macroeconomic Variables in the US," UiS Working Papers in Economics and Finance 2009/31, University of Stavanger.
    14. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2011. "Forecasting Nevada Gross Gaming Revenue and Taxable Sales Using Coincident and Leading Employment Indexes," Working Papers 1103, University of Nevada, Las Vegas , Department of Economics.
    15. Cerqueira, Vinícius Dos Santos & Ribeiro, Márcio Bruno & Martinez, Thiago Sevilhano, 2014. "Propagação Assimétrica de Choques Monetários na Economia Brasileira: Evidências com base em um modelo vetorial não-linear de transição suave," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(1), April.
    16. Roula Inglesi-Lotz & Mehmet Balcilar & Rangan Gupta, 2013. "Time-Varying Causality between Research Output and Economic Growth in the US," Working Papers 201350, University of Pretoria, Department of Economics.
    17. Singh, Tarlok, 2014. "On the regime-switching and asymmetric dynamics of economic growth in the OECD countries," Research in Economics, Elsevier, vol. 68(2), pages 169-192.
    18. Cheikh, Nidhaleddine Ben & Zaied, Younes Ben, 2023. "Investigating the dynamics of crude oil and clean energy markets in times of geopolitical tensions," Energy Economics, Elsevier, vol. 124(C).
    19. Kinnunen, Jyri, 2017. "Dynamic cross-autocorrelation in stock returns," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 162-173.
    20. João Paulo Martin Faleiros & Denisard Cnéio de Oliveira Alves, 2008. "Modelo de Crescimento Baseado nas Exportações: Evidências empíricas para Chile, Brasil e México, em uma perspectiva Não Linear," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807170923500, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    21. Jonathan B. Hill, 2004. "Causation Delays and Causal Neutralization for General Horizons: The Money-Output Relationship Revisited," Econometrics 0402002, University Library of Munich, Germany, revised 23 Mar 2005.
    22. Ubilava, David, 2014. "The ENSO Effect on World Wheat Market Dynamics: Smooth Transitions in Asymmetric Price Transmission," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170223, Agricultural and Applied Economics Association.
    23. D R Osborn & P J Perez & M Sensier, 2005. "Business Cycle Linkages for the G7 Countries:Does the US Lead the World?," Centre for Growth and Business Cycle Research Discussion Paper Series 50, Economics, The University of Manchester.
    24. 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.
    25. Araç, Ayşen & Hasanov, Mübariz, 2014. "Asymmetries in the dynamic interrelationship between energy consumption and economic growth: Evidence from Turkey," Energy Economics, Elsevier, vol. 44(C), pages 259-269.
    26. Deborah Gefang, 2012. "Money‐output Causality Revisited – A Bayesian Logistic Smooth Transition VECM Perspective," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(1), pages 131-151, February.

  9. Parker Randall E. & Rothman Philip, 1998. "The Current Depth-of-Recession and Unemployment-Rate Forecasts," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(4), pages 1-10, January.
    See citations under working paper version above.
  10. Philip Rothman, 1998. "Forecasting Asymmetric Unemployment Rates," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 164-168, February.
    See citations under working paper version above.
  11. Hinich , Melvin J. & Rothman, Philip, 1998. "Frequency-Domain Test Of Time Reversibility," Macroeconomic Dynamics, Cambridge University Press, vol. 2(1), pages 72-88, March.
    See citations under working paper version above.
  12. Rothman Philip, 1997. "FORTRAN Programs for Running the TR Test: A Guide and Examples," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 1(4), pages 1-8, January.

    Cited by:

    1. Steven Cook & Alan Speight, 2006. "International Business Cycle Asymmetry and Time Irreversible Nonlinearities," Journal of Applied Statistics, Taylor & Francis Journals, vol. 33(10), pages 1051-1065.
    2. Steven Cook & Alan Speight, 2007. "Time Irreversibility in Consumers' Expenditure: An Analysis of Disaggregated Data," International Review of Applied Economics, Taylor & Francis Journals, vol. 21(4), pages 561-575.
    3. Jorge Belaire-Franch & Dulce Contreras, 2002. "Higher-order residual analysis for AR-ARCH models with the TR test," Applied Economics Letters, Taylor & Francis Journals, vol. 9(11), pages 749-752.

  13. Rothman, Philip, 1997. "More Uncertainty about the Unit Root in U.S. Real GNP," Journal of Macroeconomics, Elsevier, vol. 19(4), pages 771-780, October.
    See citations under working paper version above.
  14. Parker, Randall E. & Rothman, Philip, 1996. "Further evidence on the stabilization of postwar economic fluctuations," Journal of Macroeconomics, Elsevier, vol. 18(2), pages 289-298.

    Cited by:

    1. Cover, James P. & Pecorino, Paul, 2005. "The length of US business expansions: When did the break in the data occur?," Journal of Macroeconomics, Elsevier, vol. 27(3), pages 452-471, September.
    2. Goodwin, Barry K. & Holt, Matthew T. & Prestemon, Jeffery P., 2008. "The Commodity Terms of Trade, Unit Roots, and Nonlinear Alternatives: A Smooth Transition Approach," MPRA Paper 9684, University Library of Munich, Germany.
    3. Craig, Lee A. & Holt, Matthew T., 2008. "Mechanical refrigeration, seasonality, and the hog-corn cycle in the United States: 1870-1940," Explorations in Economic History, Elsevier, vol. 45(1), pages 30-50, January.
    4. Amuedo-Dorantes, Catalina & Pozo, Susan, 2001. "Prewar and Postwar Macroeconomic Uncertainty: An International Perspective," Journal of Macroeconomics, Elsevier, vol. 23(4), pages 615-631, October.

  15. Ramsey, James B & Rothman, Philip, 1996. "Time Irreversibility and Business Cycle Asymmetry," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(1), pages 1-21, February.
    See citations under working paper version above.
  16. Rothman, Philip, 1995. "Chaotic dynamics. Theory and applications to economics : Alfredo Medio, (Cambridge University Press, Cambridge 1992) pp. xv + 344, $54.95," Journal of Economic Behavior & Organization, Elsevier, vol. 26(2), pages 308-310, March.

    Cited by:

    1. Mateusz Mokrogulski, 2008. "Dyskryminacja cenowa poprzez sprzedaż pakietową," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 9, pages 51-71.
    2. Tomasz Dubiel-Teleszyński, 2010. "Complex Dynamics in a Bertrand Duopoly Game with Heterogeneous Players," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 2(2), pages 95-116, March.

  17. Nuno Crato & Philip Rothman, 1994. "A reappraisal of parity reversion for UK real exchange rates," Applied Economics Letters, Taylor & Francis Journals, vol. 1(9), pages 139-141.

    Cited by:

    1. Hualde, J. & Robinson, Peter M., 2006. "Root-n-consistent estimation of weak fractional cointegration," LSE Research Online Documents on Economics 4542, London School of Economics and Political Science, LSE Library.
    2. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    3. Javier Hualde & Peter M Robinson, 2006. "Root-N-Consistent Estimation Of Weakfractional Cointegration," STICERD - Econometrics Paper Series 499, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    4. Javier Hualde & A Robinson, 2006. "Root-N-Consistent Estimation Of Weakfractional Cointegration," STICERD - Econometrics Paper Series /06/499, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    5. Gael Martin, 2001. "Bayesian Analysis Of A Fractional Cointegration Model," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 217-234.
    6. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.

  18. Crato, Nuno & Rothman, Philip, 1994. "Fractional integration analysis of long-run behavior for US macroeconomic time series," Economics Letters, Elsevier, vol. 45(3), pages 287-291.

    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. Baillie, Richard T., 1996. "Long memory processes and fractional integration in econometrics," Journal of Econometrics, Elsevier, vol. 73(1), pages 5-59, July.
    3. Donald W.K. Andrews & Offer Lieberman, 2002. "Higher-order Improvements of the Parametric Bootstrap for Long-memory Gaussian Processes," Cowles Foundation Discussion Papers 1378, Cowles Foundation for Research in Economics, Yale University.
    4. Terence Tai-Leung, Chong, 1998. "Estimating the Differencing Parameter Via the Partial Autocorrelation Function," Departmental Working Papers _088, Chinese University of Hong Kong, Department of Economics.
    5. Ignacio Rodríguez Carreño & L. Gila Useros, A. Malanda Trigueros, J. Navallas Irujo, J. Rodríguez Falces, S. Gómez Elvira, 2008. "Influence of Baseline Fluctuation Cancellation on Automatic Measurement of Motor Unit Action Potential Duration," Faculty Working Papers 13/08, School of Economics and Business Administration, University of Navarra.
    6. Mark J. Holmes, 2002. "Purchasing Power Parity and the Fractional Integration of the Real Exchange Rate: New Evidence for Less Developed Countries," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 27(1), pages 125-135, June.
    7. Joann Jasiak, 1996. "Persistence in Intertrade Durations," Working Papers 1999_8, York University, Department of Economics, revised Mar 1999.
    8. Høg, Esben & Frederiksen, Per & Schiemert, Daniel, 2008. "On the Generalized Brownian Motion and its Applications in Finance," Finance Research Group Working Papers F-2008-07, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    9. Francesc Marmol & Juan C. Reboredo, 1999. "Near Observational Equivalence and Fractionally Integrated Processes," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(2), pages 283-290, May.
    10. Javier Haulde & Morten Ørregaard Nielsen, 2022. "Fractional integration and cointegration," CREATES Research Papers 2022-02, Department of Economics and Business Economics, Aarhus University.
    11. Uwe Hassler & Francesc Marmol & C. Velasco, 2000. "Fractional Cointegrating Regression In The Presence Of Linear Time Trends," Computing in Economics and Finance 2000 138, Society for Computational Economics.
    12. Katsumi Shimotsu, 2006. "Exact Local Whittle Estimation of Fractional Integration with Unknown Mean and Time Trend," Working Paper 1061, Economics Department, Queen's University.
    13. Luis Gil-Alana & Pedro Mendi, 2005. "Fractional integration in total factor productivity: evidence from US data," Applied Economics, Taylor & Francis Journals, vol. 37(12), pages 1369-1383.
    14. Shimotsu, Katsumi, 2002. "Exact Local Whittle Estimation of Fractional Integration with Unknown Mean and Time Trend," Economics Discussion Papers 8844, University of Essex, Department of Economics.
    15. 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.
    16. L. Gil-Alana, 2007. "Long run and cyclical strong dependence in macroeconomic time series: Nelson and Plosser revisited," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 34(2), pages 139-154, April.
    17. Basma Bekdache & Christopher F. Baum, 2000. "A re-evaluation of empirical tests of the Fisher hypothesis," Boston College Working Papers in Economics 472, Boston College Department of Economics.
    18. 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.
    19. Al-Shboul, Mohammad & Anwar, Sajid, 2016. "Fractional integration in daily stock market indices at Jordan's Amman stock exchange," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 16-37.
    20. Gil-Alana, Luis A., 2002. "A mean shift break in the US interest rate," Economics Letters, Elsevier, vol. 77(3), pages 357-363, November.
    21. Esben Hoeg & Per Frederiksen, 2006. "The Fractional OU Process: Term Structure Theory and Application," Computing in Economics and Finance 2006 194, Society for Computational Economics.
    22. Marcelo Resende & Nilson Teixeira, 2002. "Permanent structural changes in the Brazilian economy and long memory: a stock market perspective," Applied Economics Letters, Taylor & Francis Journals, vol. 9(6), pages 373-375.

  19. Ramsey, James B & Rothman, Philip, 1994. "Nonlinear Monetary Dynamics: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(1), pages 135-136, January.

    Cited by:

    1. William Barnett & Apostolos Serletis & Demitre Serletis, 2012. "Nonlinear and Complex Dynamics in Economics," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201238, University of Kansas, Department of Economics, revised Sep 2012.
    2. William Barnett & Apostolos Serletis, 2012. "Martingales, Nonlinearity, And Chaos," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201225, University of Kansas, Department of Economics, revised Sep 2012.
    3. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2013. "Some thoughts on accurate characterization of stock market indexes trends in conditions of nonlinear capital flows during electronic trading at stock exchanges in global capital markets," MPRA Paper 49921, University Library of Munich, Germany.
    4. Ioannis Andreadis & Athanasios D. Fragkou & Theodoros E. Karakasidis & Apostolos Serletis, 2023. "Nonlinear dynamics in Divisia monetary aggregates: an application of recurrence quantification analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-17, December.
    5. Serletis, Apostolos & Uritskaya, Olga Y., 2007. "Detecting signatures of stochastic self-organization in US money and velocity measures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(1), pages 281-291.

  20. Rothman, P, 1992. "The Comparative Power of the TR Test against Simple Threshold Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages 187-195, Suppl. De.

    Cited by:

    1. Wang, Yuanyuan & Shang, Pengjian, 2018. "A new measurement of financial time irreversibility based on information measures method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 221-230.
    2. Emekter, Riza & Jirasakuldech, Benjamas & Snaith, Sean M., 2009. "Nonlinear dynamics in foreign exchange excess returns: Tests of asymmetry," Journal of Multinational Financial Management, Elsevier, vol. 19(3), pages 179-192, July.
    3. Yi-Ting Chen & Chung-Ming Kuan, 2002. "Time irreversibility and EGARCH effects in US stock index returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 565-578.
    4. Ahn, Eun S. & Lee, Jin Man, 2012. "The Performance Of Nonlinearity Tests On Asymmetric Nonlinear Time Series," The Journal of Economic Asymmetries, Elsevier, vol. 9(2), pages 11-44.
    5. Philip Rothman, "undated". "Higher-Order Residual Analysis for Simple Bilinear and Threshold Autoregressive Models with the TR Test," Working Papers 9813, East Carolina University, Department of Economics.
    6. Randal J. Verbrugge, 1998. "Cross-Sectional and Longitudinal Inflation Asymmetries," Macroeconomics 9809018, University Library of Munich, Germany.
    7. Evzen Kocenda & Lubos Briatka, 2004. "Advancing the iid Test Based on Integration across the Correlation Integral: Ranges, Competition, and Power," Econometrics 0409001, University Library of Munich, Germany.
    8. Chen Yi-Ting, 2003. "Testing Serial Independence against Time Irreversibility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(3), pages 1-30, October.
    9. Chen, Yi-Ting & Chou, Ray Y. & Kuan, Chung-Ming, 2000. "Testing time reversibility without moment restrictions," Journal of Econometrics, Elsevier, vol. 95(1), pages 199-218, March.
    10. Cheteni, Priviledge, 2013. "Transport Infrastructure Investment and Transport Sector Productivity on Economic Growth in South Africa (1975-2011)," MPRA Paper 53175, University Library of Munich, Germany, revised 18 Jul 2013.
    11. Evzen Kocenda & Lubos Briatka, 2005. "Optimal Range for the iid Test Based on Integration Across the Correlation Integral," Econometric Reviews, Taylor & Francis Journals, vol. 24(3), pages 265-296.

  21. Rothman, Philip, 1991. "Further evidence on the asymmetric behavior of unemployment rates over the business cycle," Journal of Macroeconomics, Elsevier, vol. 13(2), pages 291-298.
    See citations under working paper version above.
  22. Ramsey, James B & Sayers, Chera L & Rothman, Philip, 1990. "The Statistical Properties of Dimension Calculations Using Small Data Sets: Some Economic Applications," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 31(4), pages 991-1020, November.
    See citations under working paper version above.
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