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Joakim Skalin

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Skalin, Joakim & Terasvirta, Timo, 1999. "Another Look at Swedish Business Cycles, 1861-1988," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(4), pages 359-378, July-Aug..

    Mentioned in:

    1. Another look at Swedish business cycles, 1861-1988 (Journal of Applied Econometrics 1999) in ReplicationWiki ()

Working papers

  1. Skalin, Joakim, 1998. "Testing linearity against smooth transition autoregression using a parametric bootstrap," SSE/EFI Working Paper Series in Economics and Finance 276, Stockholm School of Economics, revised 13 Dec 1998.

    Cited by:

    1. Giorgio Valente & Mr. Gene L. Leon & Lucio Sarno, 2006. "Nonlinearity in Deviations From Uncovered Interest Parity: An Explanation of the Forward Bias Puzzle," IMF Working Papers 2006/136, International Monetary Fund.
    2. Jonathan B. Hill, 2004. "Consistent LM-Tests for Linearity Against Compound Smooth Transition Alternatives," Econometric Society 2004 North American Summer Meetings 42, Econometric Society.
    3. Weber, Enzo, 2009. "Financial Contagion, Vulnerability and Information Flow: Empirical Identification," University of Regensburg Working Papers in Business, Economics and Management Information Systems 431, University of Regensburg, Department of Economics.
    4. 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.
    5. Lucio Sarno & Daniel L. Thornton, 2002. "The dynamic relationship between the federal funds rate and the Treasury bill rate: an empirical investigation," Working Papers 2000-032, Federal Reserve Bank of St. Louis.
    6. Matthew T. Holt & Joseph V. Balagtas, 2009. "Estimating Structural Change with Smooth Transition Regressions: An Application to Meat Demand," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1424-1431.
    7. Sandberg, Rickard, 2016. "Trends, unit roots, structural changes, and time-varying asymmetries in U.S. macroeconomic data: the Stock and Watson data re-examined," Economic Modelling, Elsevier, vol. 52(PB), pages 699-713.
    8. Taylor, Mark P & Peel, David A & Sarno, Lucio, 2001. "Nonlinear Mean-Reversion in Real Exchange Rates: Toward a Solution to the Purchasing Power Parity Puzzles," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 1015-1042, November.
    9. Strohsal, Till & Weber, Enzo, 2015. "Time-varying international stock market interaction and the identification of volatility signals," Journal of Banking & Finance, Elsevier, vol. 56(C), pages 28-36.
    10. Jonathan B. Hill, 2004. "LM-Tests for Linearity Against Smooth Transition Alternatives: A Bootstrap Simulation Study," Econometrics 0401004, University Library of Munich, Germany, revised 05 Jul 2004.
    11. Strohsal, Till & Weber, Enzo, 2013. "Identifying Volatility Signals from Time-Varying Simultaneous Stock Market Interaction," VfS Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79903, Verein für Socialpolitik / German Economic Association.
    12. Till Strohsal & Enzo Weber, 2012. "The Signal of Volatility," SFB 649 Discussion Papers SFB649DP2012-043, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    13. 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.
    14. Jonathan B. Hill, 2004. "Consistent Model Specification Tests Against Smooth Transition Alternatives," Econometrics 0402004, University Library of Munich, Germany, revised 05 Aug 2005.
    15. Sofiane Amri, 2008. "Analysing the forward premium anomaly using a Logistic Smooth Transition Regression model," Economics Bulletin, AccessEcon, vol. 6(26), pages 1-18.
    16. Sarno, Lucio, 2001. "The behavior of US public debt: a nonlinear perspective," Economics Letters, Elsevier, vol. 74(1), pages 119-125, December.

  2. Hall, Anthony D. & Skalin, Joakim & Teräsvirta, Timo, 1998. "A nonlinear time series model of El Niño," SSE/EFI Working Paper Series in Economics and Finance 263, Stockholm School of Economics.

    Cited by:

    1. LanFen Chu & Michael McAleer & Chi-Chung Chen, 2011. "How Volatile is ENSO?," Documentos de Trabajo del ICAE 2011-21, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. 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.
    3. David Ubilava, 2012. "El Niño, La Niña, and world coffee price dynamics," Agricultural Economics, International Association of Agricultural Economists, vol. 43(1), pages 17-26, January.
    4. Po-Chin Wu & Chia-Jui Chang, 2017. "Nonlinear impacts of debt ratio and term spread on inward FDI performance persistence," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 34(3), pages 369-388, December.
    5. Andreas Röthig & Carl Chiarella, 2007. "Investigating nonlinear speculation in cattle, corn, and hog futures markets using logistic smooth transition regression models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(8), pages 719-737, August.
    6. Tack, Jesse B. & Ubilava, David, 2013. "El Ni˜no Southern Oscillation Impacts on Crop Insurance," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151429, Agricultural and Applied Economics Association.
    7. Ubilava, David, 2013. "El Niño Southern Oscillation and Primary Agricultural Commodity Prices: Causal Inferences from Smooth Transition Models," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152202, Australian Agricultural and Resource Economics Society.
    8. Ubilava, David, 2017. "The ENSO Effect and Asymmetries in Wheat Price Dynamics," World Development, Elsevier, vol. 96(C), pages 490-502.
    9. Jesse Tack & David Ubilava, 2013. "The effect of El Niño Southern Oscillation on U.S. corn production and downside risk," Climatic Change, Springer, vol. 121(4), pages 689-700, December.
    10. Balagtas, Joseph Valdes & Holt, Matthew T., 2006. "Unit Roots, TV-STARs, and the Commodity Terms of Trade: A Further Assessment of the Prebisch-Singer Hypothesis," 2006 Annual meeting, July 23-26, Long Beach, CA 21405, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Ubilava, David & Helmers, C Gustav, 2012. "Forecasting ENSO with a smooth transition autoregressive model," MPRA Paper 36890, University Library of Munich, Germany.
    12. David Ubilava, 2018. "The Role of El Niño Southern Oscillation in Commodity Price Movement and Predictability," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 239-263.
    13. Lan-Fen Chu & M. McAleer & Chi-Chung Chen, 2012. "How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy?," KIER Working Papers 829, Kyoto University, Institute of Economic Research.
    14. 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.
    15. David Ubilava, 2012. "Modeling Nonlinearities in the U.S. Soybean‐to‐Corn Price Ratio: A Smooth Transition Autoregression Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 28(1), pages 29-41, January.
    16. 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.
    17. Davinson Stev Abril Salcedo & Luis Fernando Melo Velandia & Daniel Parra Amado, 2015. "Impactos de los fenómenos climáticos sobre el precio de los alimentos en Colombia," Borradores de Economia 13648, Banco de la Republica.
    18. Li, Yushu & Shukur, Ghazi, 2009. "Testing for Unit Root against LSTAR Model: Wavelet Improvement under GARCH Distortion," CAFO Working Papers 2009:6, Linnaeus University, Centre for Labour Market Policy Research (CAFO), School of Business and Economics.
    19. Yue-Jun Zhang & Ting Yao & Zi-Yi Wang, 2015. "The bubble process of international crude oil futures prices: empirical evidence from the STAR model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 38(1/2/3), pages 109-125.
    20. Smith, Sarah C. & Ubilava, David, 2017. "The El Niño Southern Oscillation and Economic Growth in the Developing World," Working Papers 2017-11, University of Sydney, School of Economics, revised May 2017.

  3. 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.

    Cited by:

    1. Munehisa Kasuya, 2005. "Regime-switching approach to monetary policy effects," Applied Economics, Taylor & Francis Journals, vol. 37(3), pages 307-326.
    2. van Dijk, Dick & Hans Franses, Philip & Peter Boswijk, H., 2007. "Absorption of shocks in nonlinear autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4206-4226, May.
    3. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana, 2008. "Modelling Long-Run Trends and Cycles in Financial Time Series Data," CESifo Working Paper Series 2330, CESifo.
    4. 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.
    5. Masayoshi Hayashi, 2012. "Forecasting Welfare Caseloads: The Case of the Japanese Public Assistance Program," CIRJE F-Series CIRJE-F-846, CIRJE, Faculty of Economics, University of Tokyo.
    6. Juan Carlos Cuestas & Estefanía Mourelle, 2009. "Inflation persistence and asymmetries: evidence for African countries," NBS Discussion Papers in Economics 2009/2, Economics, Nottingham Business School, Nottingham Trent University.
    7. Mr. Kazim Kazimov & Mr. Kirk Hamilton & Mr. Rabah Arezki, 2011. "Resource Windfalls, Macroeconomic Stability and Growth: The Role of Political Institutions," IMF Working Papers 2011/142, International Monetary Fund.
    8. Claude Diebolt & Mohamed Chikhi, 2021. "Testing The Weak Form Efficiency Of The French Etf Market With Lstar-Anlstgarch Approach Using A Semiparametric Estimation," Working Papers 09-21, Association Française de Cliométrie (AFC).
    9. Craig, Lee & Holt, Matthew T., 2012. "The Role of Mechanical Refrigeration in Spatial and Temporal Price Dynamics for Regional U.S. Egg Markets, 1880–1911," MPRA Paper 39554, University Library of Munich, Germany.
    10. Umair Khalil & Alamgir & Amjad Ali & Dost Muhammad Khan & Sajjad Ahmad Khan & Zardad Khan, 2016. "Unit Root Testing and Estimation in Nonlinear ESTAR Models with Normal and Non-Normal Errors," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-11, November.
    11. 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.
    12. Fredj Jawadi & Richard Soparnot & Ricardo M. Sousa, 2017. "Assessing financial and housing wealth effects through the lens of a nonlinear framework," Post-Print hal-01650524, HAL.
    13. 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.
    14. Terasvirta, Timo & van Dijk, Dick & Medeiros, Marcelo C., 2005. "Linear models, smooth transition autoregressions, and neural networks for forecasting macroeconomic time series: A re-examination," International Journal of Forecasting, Elsevier, vol. 21(4), pages 755-774.
    15. Kurmaş Akdoğan, 2017. "Unemployment hysteresis and structural change in Europe," Empirical Economics, Springer, vol. 53(4), pages 1415-1440, December.
    16. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2012. "The Out-of-Sample Forecasting Performance of Non-Linear Models of Regional Housing Prices in the US," Working Papers 1209, University of Nevada, Las Vegas , Department of Economics.
    17. Akram,Q.F. & Nymoen,R., 2001. "Employment behaviour in slack and tight labour markets," Memorandum 27/2001, Oslo University, Department of Economics.
    18. Alain Maurin & Sébastien Mathouraparsad & Roland Craigwell, 2011. "Unemployment hysteresis in the English-speaking Caribbean: evidence from non-linear models," Post-Print hal-04014790, HAL.
    19. Nermeen Harb & Mamdouh Abdelmoula M. Abdelsalam, 2019. "Effect Of Oil Prices On Stock Markets: Evidence From New Generation Of Star Model," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 466-482, July.
    20. Simeon Coleman & Juan Carlos Cuestas & Estefanía Mourelle, 2011. "Investigating the oil price-exchange rate nexus: Evidence from Africa," Working Papers 2011015, The University of Sheffield, Department of Economics, revised May 2011.
    21. Rickard Sandberg, 2016. "Testing for unit roots in nonlinear heterogeneous panels with smoothly changing trends: an application to Scandinavian unemployment rates," Empirical Economics, Springer, vol. 51(3), pages 1053-1083, November.
    22. Michele Campolieti & Deborah Gefang & Gary Koop, 2011. "Time Variation in the Dynamics of Worker Flows: Evidence from the US and Canada," Working Papers 1138, University of Strathclyde Business School, Department of Economics.
    23. 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).
    24. Minford, Patrick & Naraidoo, Ruthira, 2002. "Vicious and Virtuous Circles - The Political Economy of Unemployment," CEPR Discussion Papers 3618, C.E.P.R. Discussion Papers.
    25. Michael Funke & Marc Gronwald, 2008. "The undisclosed Renminbi Basket: are the markets telling us something about where the Renminbi - US Dollar Exchange Rate is going?," Quantitative Macroeconomics Working Papers 20812b, Hamburg University, Department of Economics.
    26. Ubilava, David, 2013. "El Niño Southern Oscillation and Primary Agricultural Commodity Prices: Causal Inferences from Smooth Transition Models," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152202, Australian Agricultural and Resource Economics Society.
    27. Paolo Caro, 2018. "To be (or not to be) resilient over time: facts and causes," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 60(2), pages 375-392, March.
    28. Sarantis, Nicholas, 2001. "Nonlinearities, cyclical behaviour and predictability in stock markets: international evidence," International Journal of Forecasting, Elsevier, vol. 17(3), pages 459-482.
    29. 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.
    30. Luis A. Gil-Alana & Antonio Moreno & Seonghoon Cho, 2009. "The Deaton paradox in a long memory context with structural breaks," Faculty Working Papers 03/09, School of Economics and Business Administration, University of Navarra.
    31. 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.
    32. Munehisa Kasuya, 2003. "Regime-Switching Approach to Monetary Policy Effects: Empirical Studies using a Smooth Transition Vector Autoregressive Model," Bank of Japan Working Paper Series Research and Statistics D, Bank of Japan.
    33. Ubilava, David, 2017. "The ENSO Effect and Asymmetries in Wheat Price Dynamics," World Development, Elsevier, vol. 96(C), pages 490-502.
    34. Luis A. Gil-Alana & Zeynel Abidin Ozdemir & Aysit Tansel, 2017. "Long Memory in Turkish Unemployment Rates," ERC Working Papers 1709, ERC - Economic Research Center, Middle East Technical University, revised Sep 2017.
    35. Terasvirta, Timo, 2006. "Forecasting economic variables with nonlinear models," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 8, pages 413-457, Elsevier.
    36. Marcelle Chauvet & Chinhui Juhn & Simon M. Potter, 2001. "Markov switching in disaggregate unemployment rates," Staff Reports 132, Federal Reserve Bank of New York.
    37. 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).
    38. Antipin, Jan-Erik & Boumediene, Farid Jimmy & Österholm, Pär, 2013. "On the Usefulness of Constant Gain Least Squares when Forecasting the Unemployment Rate," Working Papers 129, National Institute of Economic Research.
    39. Dilem Yıldırım & Dilan Aydın, 2021. "One Crisis After Another: A Dynamic Unemployment Persistence Analysis For The Gips Countries," ERC Working Papers 2102, ERC - Economic Research Center, Middle East Technical University, revised Apr 2021.
    40. 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.
    41. Pede, Valerien O. & Florax, Raymond J.G.M. & Lambert, Dayton M., 2014. "Spatial econometric STAR models: Lagrange multiplier tests, Monte Carlo simulations and an empirical application," Regional Science and Urban Economics, Elsevier, vol. 49(C), pages 118-128.
    42. Mr. Chorng-Huey Wong & Mr. Eric V. Clifton & Mr. Gene L. Leon, 2001. "Inflation Targeting and the Unemployment-Inflation Trade-off," IMF Working Papers 2001/166, International Monetary Fund.
    43. 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.
    44. Ubilava, David & Helmers, C Gustav, 2012. "Forecasting ENSO with a smooth transition autoregressive model," MPRA Paper 36890, University Library of Munich, Germany.
    45. David Ubilava, 2018. "The Role of El Niño Southern Oscillation in Commodity Price Movement and Predictability," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(1), pages 239-263.
    46. Franses, Philip Hans & van Dijk, Dick, 2005. "The forecasting performance of various models for seasonality and nonlinearity for quarterly industrial production," International Journal of Forecasting, Elsevier, vol. 21(1), pages 87-102.
    47. Franses, Ph.H.B.F. & Paap, R., 1998. "Censored latent effects autoregression, with an application to US unemployment," Econometric Institute Research Papers EI 9841, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    48. Emilio Zanetti Chini, 2017. "Generalizing Smooth Transition Autoregressions," DEM Working Papers Series 138, University of Pavia, Department of Economics and Management.
    49. 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.
    50. Franchi, Massimo & Ordóñez, Javier, 2011. "Multiple equilibria in Spanish unemployment," Structural Change and Economic Dynamics, Elsevier, vol. 22(1), pages 71-80, February.
    51. Guglielmo Maria Caporale & Luis Gil-Alana, 2018. "The asymmetric behaviour of spanish unemployment persistence," Economics Bulletin, AccessEcon, vol. 38(1), pages 98-104.
    52. Ben Lahouel, Béchir & Taleb, Lotfi & Ben Zaied, Younes & Managi, Shunsuke, 2021. "Does ICT change the relationship between total factor productivity and CO2 emissions? Evidence based on a nonlinear model," Energy Economics, Elsevier, vol. 101(C).
    53. Ito, Hiro, 2003. "Was Japan’s Real Interest Rate Really Too High During the 1990s? The Role of the Zero Interest Rate Bound and Other Factors," Santa Cruz Department of Economics, Working Paper Series qt48k5q6vd, Department of Economics, UC Santa Cruz.
    54. Yener Coskun & Burak Sencer Atasoy & Giacomo Morri & Esra Alp, 2018. "Wealth Effects on Household Final Consumption: Stock and Housing Market Channels," IJFS, MDPI, vol. 6(2), pages 1-32, June.
    55. 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.
    56. Sandberg, Rickard, 2016. "Trends, unit roots, structural changes, and time-varying asymmetries in U.S. macroeconomic data: the Stock and Watson data re-examined," Economic Modelling, Elsevier, vol. 52(PB), pages 699-713.
    57. Arango, Luis E. & Melo, Luis F., 2006. "Expansions and contractions in Brazil, Colombia and Mexico: A view through nonlinear models," Journal of Development Economics, Elsevier, vol. 80(2), pages 501-517, August.
    58. Ilias Georgakopoulos, 2019. "Income and wealth inequality in Malta: evidence from micro data," CBM Working Papers WP/03/2019, Central Bank of Malta.
    59. Zarina Oflaz, 2017. "Structural Break, Nonlinearity and the Hysteresis hypothesis: Evidence from new unit root tests," Econometrics Letters, Bilimsel Mektuplar Organizasyonu (Scientific letters), vol. 4(2), pages 1-16.
    60. Taylor, Mark P & Peel, David A & Sarno, Lucio, 2001. "Nonlinear Mean-Reversion in Real Exchange Rates: Toward a Solution to the Purchasing Power Parity Puzzles," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(4), pages 1015-1042, November.
    61. Jean-michel Sahut & Medhi Mili & Frédéric Teulon, 2012. "What is the linkage between real growth in the Euro area and global financial market conditions?," Economics Bulletin, AccessEcon, vol. 32(3), pages 2464-2480.
    62. Koo, Chao, 2018. "Essays on functional coefficient models," Other publications TiSEM ba87b8a5-3c55-40ec-967d-9, Tilburg University, School of Economics and Management.
    63. Akram, Qaisar Farooq, 2005. "Multiple unemployment equilibria and asymmetric dynamics--Norwegian evidence," Structural Change and Economic Dynamics, Elsevier, vol. 16(2), pages 263-283, June.
    64. Kam Leong Szeto & Melody Guy, 2004. "Estimating a New Zealand NAIRU," Treasury Working Paper Series 04/10, New Zealand Treasury.
    65. Rabah Arezki & Klaus Deininger & Harris Selod, 2012. "What drives the global rush?," NCID Working Papers 02/2012, Navarra Center for International Development, University of Navarra.
    66. 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.
    67. Ralf Becker & Denise R. Osborn, 2012. "Weighted Smooth Transition Regressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 795-811, August.
    68. 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.
    69. Schleer, Frauke & Semmler, Willi, 2013. "Financial sector-output dynamics in the euro area: Non-linearities reconsidered," ZEW Discussion Papers 13-068, ZEW - Leibniz Centre for European Economic Research.
    70. Estefania Mourelle & Juan Carlos Cuestas & Luis Alberiko Gil‐alana, 2011. "Is There An Asymmetric Behaviour In African Inflation? A Non‐Linear Approach," South African Journal of Economics, Economic Society of South Africa, vol. 79(1), pages 68-90, March.
    71. Donayre, Luiggi & Panovska, Irina, 2016. "Nonlinearities in the U.S. wage Phillips curve," Journal of Macroeconomics, Elsevier, vol. 48(C), pages 19-43.
    72. Boriss Siliverstovs, "undated". "The Bi-parameter Smooth Transition AutoRegressive model," Economics Working Papers 2000-16, Department of Economics and Business Economics, Aarhus University.
    73. Gross, Marco & Binder, Michael, 2013. "Regime-switching global vector autoregressive models," Working Paper Series 1569, European Central Bank.
    74. Di Caro, Paolo, 2014. "Testing and explaining economic resilience with an application to Italian regions," MPRA Paper 60298, University Library of Munich, Germany.
    75. Levenko, Natalia, 2020. "Rounding bias in forecast uncertainty," Research in Economics, Elsevier, vol. 74(4), pages 277-291.
    76. Rocha, Jordano Vieira & Pereira, Pedro L. Valls, 2015. "Forecast comparison with nonlinear methods for Brazilian industrial production," Textos para discussão 397, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    77. David Ubilava, 2012. "Modeling Nonlinearities in the U.S. Soybean‐to‐Corn Price Ratio: A Smooth Transition Autoregression Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 28(1), pages 29-41, January.
    78. 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.
    79. 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.
    80. José Cancelo & Estefanía Mourelle, 2005. "Modeling Cyclical Asymmetries in European Imports," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 11(2), pages 135-147, May.
    81. Apergis, Nicholas, 2015. "Financial portfolio choice: Do business cycle regimes matter? Panel evidence from international household surveys," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 14-27.
    82. Juan Carlos Cuestas & Luis A. Gil-Alana, 2011. "Unemployment hysteresis, structural changes, non-linearities and fractional integration in European transition economies," Working Papers 2011005, The University of Sheffield, Department of Economics, revised Feb 2011.
    83. Vito Polito & Yunyi Zhang, 2021. "Tackling Large Outliers in Macroeconomic Data with Vector Artificial Neural Network Autoregression," CESifo Working Paper Series 9395, CESifo.
    84. Omay, Tolga & Shahbaz, Muhammad & Stewart, Chris, 2021. "Is There Really Hysteresis in OECD Countries’ Unemployment Rates? New Evidence Using a Fourier Panel Unit Root Test," MPRA Paper 107691, University Library of Munich, Germany, revised 10 May 2021.
    85. Gilles Dufrénot & Valérie Mignon, 2002. "La cointégration non linéaire : une note méthodologique," Économie et Prévision, Programme National Persée, vol. 155(4), pages 117-137.
    86. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871.
    87. Di Caro, Paolo, 2014. "Regional recessions and recoveries in theory and practice: a resilience-based overview," MPRA Paper 60300, University Library of Munich, Germany.
    88. 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.
    89. 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.
    90. Paul De Bruin & Philip Hans Franses, 1999. "Forecasting power-transformed time series data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 26(7), pages 807-815.
    91. Estefanía Mourelle & José Cancelo, 2009. "Nonlinearities and the Business Cycle in Spanish Imports: A Smooth Transition Regression Approach," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(2), pages 245-259, May.
    92. Kurmaş Akdoğan, 2015. "Unemployment Hysteresis and Structural Change in Europe," EY International Congress on Economics II (EYC2015), November 5-6, 2015, Ankara, Turkey 266, Ekonomik Yaklasim Association.
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    1. Nidhaleddine Ben Cheikh & Sami Ben Naceur & Oussama Kanaan & Christophe Rault, 2018. "Oil Prices and GCC Stock Markets: New Evidence from Smooth Transition Models," CESifo Working Paper Series 7072, CESifo.
    2. Juan Carlos Cuestas & Estefanía Mourelle, 2009. "Inflation persistence and asymmetries: evidence for African countries," NBS Discussion Papers in Economics 2009/2, Economics, Nottingham Business School, Nottingham Trent University.
    3. 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.
    4. P Mejía-Reyes & D R Osborn & M Sensier, 2004. "Modelling Real Exchange Rate Effects on Output Performance in Latin America," Centre for Growth and Business Cycle Research Discussion Paper Series 35, Economics, The University of Manchester.
    5. 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.
    6. Aviral Kumar Tiwari & Adeolu O. Adewuyi & Olabanji B. Awodumi & David Roubaud, 2022. "Relationship between stock returns and inflation: New evidence from the US using wavelet and causality methods," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4515-4540, October.
    7. Andreas Röthig & Carl Chiarella, 2007. "Investigating nonlinear speculation in cattle, corn, and hog futures markets using logistic smooth transition regression models," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 27(8), pages 719-737, August.
    8. Jean-François Verne, 2021. "Smooth Threshold Autoregressive models and Markov process: An application to the Lebanese GDP growth rate," International Econometric Review (IER), Econometric Research Association, vol. 13(3), pages 71-88, September.
    9. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2012. "The Out-of-Sample Forecasting Performance of Non-Linear Models of Regional Housing Prices in the US," Working Papers 1209, University of Nevada, Las Vegas , Department of Economics.
    10. Tsai, I-Chun & Peng, Chien-Wen, 2016. "Linear and nonlinear dynamic relationships between housing prices and trading volumes," The North American Journal of Economics and Finance, Elsevier, vol. 38(C), pages 172-184.
    11. 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.
    12. Ben Cheikh, Nidhaleddine & Ben Naceur, Sami & Kanaan, Oussama & Rault, Christophe, 2020. "Investigating the Asymmetric Impact of Oil Prices on GCC Stock Markets," IZA Discussion Papers 13853, Institute of Labor Economics (IZA).
    13. Pavlidis Efthymios G & Paya Ivan & Peel David A, 2010. "Specifying Smooth Transition Regression Models in the Presence of Conditional Heteroskedasticity of Unknown Form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-40, May.
    14. Anne Péguin-Feissolle & Birgit Strikholm & Timo Teräsvirta, 2008. "Testing the Granger noncausality hypothesis in stationary nonlinear models of unknown functional form," CREATES Research Papers 2008-19, Department of Economics and Business Economics, Aarhus University.
    15. Cheng, Che-Hui & Wu, Po-Chin, 2013. "Nonlinear earnings persistence," International Review of Economics & Finance, Elsevier, vol. 25(C), pages 156-168.
    16. 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.
    17. Dakyung Seong & Jin Seo Cho & Timo Teräsvirta, 2019. "Comprehensive Testing of Linearity against the Smooth Transition Autoregressive Model," CREATES Research Papers 2019-17, Department of Economics and Business Economics, Aarhus University.
    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. Nektarios Aslanidis, 2002. "Regime-switching behaviour in European," Working Papers 0202, University of Crete, Department of Economics.
    20. Bahram Adrangi & Arjun Chatrath, 2022. "Dynamic Responses of Major Pacific Rim Emerging Equity Markets to the US Crude Oil Fear Index (OVX)," Bulletin of Applied Economics, Risk Market Journals, vol. 9(1), pages 51-84.
    21. Louise Holm, 2016. "The Swedish business cycle, 1969-2013," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(2), pages 1-22.
    22. Mei-Se Chien, 2013. "The Non-linear Ripple Effect of Housing Prices in Taiwan: A Smooth Transition Regressive Model," ERES eres2013_51, European Real Estate Society (ERES).
    23. Zheng Guihuan & Shang Yan & Wang Jue & Wu Ying, 2014. "A Study on the Asymmetry in the Role of Monetary Policy by Using STR model," Journal of Systems Science and Information, De Gruyter, vol. 2(3), pages 236-243, June.
    24. José Cancelo & Estefanía Mourelle, 2005. "Modeling Cyclical Asymmetries in European Imports," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 11(2), pages 135-147, May.
    25. Prasad Bal, Debi & Narayan Rath, Badri, 2015. "Nonlinear causality between crude oil price and exchange rate: A comparative study of China and India," Energy Economics, Elsevier, vol. 51(C), pages 149-156.
    26. 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.
    27. M-Ali Sotoudeh & Andrew C. Worthington, 2016. "A comparative analysis of monetary responses to global oil price changes: net oil producing vs. net oil consuming countries," International Economics and Economic Policy, Springer, vol. 13(4), pages 623-640, October.
    28. 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.
    29. I-Chun Tsai, 2018. "The cause and outcomes of the ripple effect: housing prices and transaction volume," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 351-373, September.
    30. Mark J.Holmes, 2002. "Are there non linearities in US: Latin American real exchange behavior," Estudios de Economia, University of Chile, Department of Economics, vol. 29(2 Year 20), pages 177-190, December.
    31. Kim, Sei-wan & Lee, Kihoon & Nam, Kiseok, 2010. "The relationship between CO2 emissions and economic growth: The case of Korea with nonlinear evidence," Energy Policy, Elsevier, vol. 38(10), pages 5938-5946, October.
    32. Tiwari, Aviral Kumar & Dar, Arif Billah & Bhanja, Niyati, 2013. "Oil price and exchange rates: A wavelet based analysis for India," Economic Modelling, Elsevier, vol. 31(C), pages 414-422.
    33. Liam Gallagher & Mark Hutchinson & John O’Brien, 2018. "Does Convertible Arbitrage Risk Exposure Vary Through Time?," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-25, December.
    34. NIDHALEDDINE BEN CHEIKH & SAMI BEN NACEUR & OUSSAMA KANAAN & Christophe RAULT, 2019. "Oil Prices and GCC Stock Markets: New Evidence from Vector Smooth Transition Models," LEO Working Papers / DR LEO 2697, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    35. Sahin, Afsin, 2013. "Estimating Money Demand Function by a Smooth Transition Regression Model: An Evidence for Turkey," MPRA Paper 46851, University Library of Munich, Germany.
    36. Andreas Röthig, 2009. "Microeconomic Risk Management and Macroeconomic Stability," Lecture Notes in Economics and Mathematical Systems, Springer, number 978-3-642-01565-6, October.
    37. Nektarios Aslanidis, 2002. "Smooth Transition Regression Models in UK Stock Returns," Working Papers 0201, University of Crete, Department of Economics.
    38. Xiangdong Guo & Pei Lung & Jianli Sui & Ruiping Zhang & Chao Wang, 2021. "Agricultural Support Policies and China’s Cyclical Evolutionary Path of Agricultural Economic Growth," Sustainability, MDPI, vol. 13(11), pages 1-28, May.
    39. Escribano, A. & Franses, Ph.H.B.F. & van Dijk, D.J.C., 1998. "Nonlinearities and outliers: robust specification of STAR models," Econometric Institute Research Papers EI 9832, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    40. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2021. "Dynamics of crude oil price shocks and major Latin American Equity Markets: A study in time and frequency domains," Bulletin of Economic Research, Wiley Blackwell, vol. 73(3), pages 432-455, July.
    41. Chen, Yi-Ting, 2003. "Discriminating between competing STAR models," Economics Letters, Elsevier, vol. 79(2), pages 161-167, May.

Articles

  1. Skalin, Joakim & Teräsvirta, Timo, 2002. "Modeling Asymmetries And Moving Equilibria In Unemployment Rates," Macroeconomic Dynamics, Cambridge University Press, vol. 6(2), pages 202-241, April.
    See citations under working paper version above.
  2. Skalin, Joakim & Terasvirta, Timo, 1999. "Another Look at Swedish Business Cycles, 1861-1988," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(4), pages 359-378, July-Aug..
    See citations under working paper version above.Sorry, no citations of articles recorded.
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