IDEAS home Printed from https://ideas.repec.org/e/pli9.html
   My authors  Follow this author

Jin-Lung (henry) Lin

Personal Details

First Name:Jin-Lung (henry)
Middle Name:
Last Name:Lin
Suffix:
RePEc Short-ID:pli9
http://faculty.ndhu.edu.tw/~jlin
Terminal Degree:1991 Department of Economics; University of California-San Diego (UCSD) (from RePEc Genealogy)

Affiliation

Department of Finance
National Dong-Hwa University

Sou-Feng, Taiwan
http://www.fin.ndhu.edu.tw/
RePEc:edi:dfndhtw (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Lin, Jin-Lung & Tsay, Ruey S, 1996. "Co-integration Constraint and Forecasting: An Empirical Examination," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 519-538, Sept.-Oct.

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.

Articles

  1. Lin, Jin-Lung & Tsay, Ruey S, 1996. "Co-integration Constraint and Forecasting: An Empirical Examination," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(5), pages 519-538, Sept.-Oct.

    Cited by:

    1. Tu, Yundong & Yi, Yanping, 2017. "Forecasting cointegrated nonstationary time series with time-varying variance," Journal of Econometrics, Elsevier, vol. 196(1), pages 83-98.
    2. Christoffersen, Peter F & Diebold, Francis X, 1998. "Cointegration and Long-Horizon Forecasting," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 450-458, October.
    3. Barakchian , Seyed Mahdi, 2012. "Implications of Cointegration for Forecasting: A Review and an Empirical Analysis," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 7(1), pages 87-118, October.
    4. Chew Lian Chua & Sarantis Tsiaplias, 2008. "Can Consumer Sentiment and Its Components Forecast Australian GDP and Consumption?," Melbourne Institute Working Paper Series wp2008n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    5. Alfred A. Haug & Christie Smith, 2007. "Local linear impulse responses for a small open economy," Working Papers 0707, University of Otago, Department of Economics, revised Apr 2007.
    6. Georgios Magkonis & Simon Rudkin, 2019. "Does Trilemma Speak Chinese?," Working Papers in Economics & Finance 2019-01, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    7. James S. Fackler & W. Douglas McMillin, 2018. "Nominal GDP versus Price Level Targeting: An Empirical Evaluation," Departmental Working Papers 2018-05, Department of Economics, Louisiana State University.
    8. Syed Abul Basher & Alfred Haug & Perry Sadorsky, 2010. "Oil Prices, Exchange Rates and Emerging Stock Markets," Working Papers 1014, University of Otago, Department of Economics, revised Sep 2010.
    9. Òscar Jordà, 2005. "Estimation and Inference of Impulse Responses by Local Projections," American Economic Review, American Economic Association, vol. 95(1), pages 161-182, March.
    10. Sangyup Choi & Myungkyu Shim, 2019. "Financial vs. Policy Uncertainty in Emerging Market Economies," Open Economies Review, Springer, vol. 30(2), pages 297-318, April.
    11. P. Geoffrey Allen & Robert Fildes, 2005. "Levels, Differences and ECMs – Principles for Improved Econometric Forecasting," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(s1), pages 881-904, December.
    12. Guo, Zi-Yi, 2017. "Comparison of Error Correction Models and First-Difference Models in CCAR Deposits Modeling," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 17(4).
    13. De Gooijer, Jan G. & Vidiella-i-Anguera, Antoni, 2004. "Forecasting threshold cointegrated systems," International Journal of Forecasting, Elsevier, vol. 20(2), pages 237-253.
    14. Naser Yenus Nuru & Hayelom Yrgaw Gereziher, 2021. "The impacts of public expenditure innovations on real exchange rate volatility in South Africa," WIDER Working Paper Series wp-2021-72, World Institute for Development Economic Research (UNU-WIDER).
    15. Sangyup Choi & Mr. Prakash Loungani, 2015. "Uncertainty and Unemployment: The Effects of Aggregate and Sectoral Channels," IMF Working Papers 2015/036, International Monetary Fund.
    16. Poncela, Pilar, 2000. "Forecasting with nostationary dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS 9959, Universidad Carlos III de Madrid. Departamento de Estadística.
    17. Wang, Zijun & Bessler, David A, 2002. "The Homogeneity Restriction and Forecasting Performance of VAR-Type Demand Systems: An Empirical Examination of US Meat Consumption," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 21(3), pages 193-206, April.
    18. Tsangyao Chang & Wenshwo Fang & Li-Fang Wen, 2001. "Energy consumption, employment, output, and temporal causality: evidence from Taiwan based on cointegration and error-correction modelling techniques," Applied Economics, Taylor & Francis Journals, vol. 33(8), pages 1045-1056.
    19. Oscar Jorda, 2004. "Model-Free Impulse Responses," Macroeconomics 0403016, University Library of Munich, Germany.
    20. L. Copeland & Ping Wang, 2000. "Forecasting the returns on UK investment trusts: a comparison," The European Journal of Finance, Taylor & Francis Journals, vol. 6(3), pages 298-310.
    21. Moosa, Imad A. & Vaz, John J., 2016. "Cointegration, error correction and exchange rate forecasting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 21-34.
    22. Ahrens, Ralf, 1999. "Improving market-based forecasts of short-term interest rates: Time-varying stationarity and the predictive content of switching regime-expectations," CFS Working Paper Series 1999/14, Center for Financial Studies (CFS).
    23. David Hendry & Guillaume Chevillon, 2004. "Non-Parametric Direct Multi-step Estimation for Forecasting Economic Processes," Economics Series Working Papers 196, University of Oxford, Department of Economics.
    24. Guillaume Chevillon, 2007. "Direct Multi‐Step Estimation And Forecasting," Journal of Economic Surveys, Wiley Blackwell, vol. 21(4), pages 746-785, September.
    25. Swanson, Norman R. & White, Halbert, 1997. "Forecasting economic time series using flexible versus fixed specification and linear versus nonlinear econometric models," International Journal of Forecasting, Elsevier, vol. 13(4), pages 439-461, December.
    26. Swanson, Norman R., 2002. "Comments on 'A vector error-correction forecasting model of the US economy'," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 599-606, December.
    27. Lance J. Bachmeier & Norman R. Swanson, 2003. "Predicting Inflation: Does The Quantity Theory Help?," Departmental Working Papers 200317, Rutgers University, Department of Economics.
    28. Alfred A. Haug & Tomasz Jedrzejowicz & Anna Sznajderska, 2013. "Combining Monetary and Fiscal Policy in an SVAR for a Small Open Economy," Working Papers 1313, University of Otago, Department of Economics, revised Oct 2013.
    29. Graziano Moramarco, 2020. "Measuring Global Macroeconomic Uncertainty," Working Papers wp1148, Dipartimento Scienze Economiche, Universita' di Bologna.
    30. Wang, Zijun & Bessler, David A., 2004. "Forecasting performance of multivariate time series models with full and reduced rank: an empirical examination," International Journal of Forecasting, Elsevier, vol. 20(4), pages 683-695.
    31. Guillaume Chevillon, 2006. "Multi-step Forecasting in Unstable Economies: Robustness Issues in the Presence of Location Shifts," Economics Series Working Papers 257, University of Oxford, Department of Economics.
    32. Osmani Teixeira de Carvalho Guillén & João Victor Issler & George Athanasopoulos, 2005. "Forecasting Accuracy and Estimation Uncertainty Using VAR Models with Short- and Long-Term Economic Restrictions: A Monte-Carlo Study," Monash Econometrics and Business Statistics Working Papers 15/05, Monash University, Department of Econometrics and Business Statistics.
    33. Chen, Show-Lin & Wu, Jyh-Lin, 2011. "Home bias and the persistence of real exchange rates," Economic Modelling, Elsevier, vol. 28(1), pages 55-59.
    34. Christian Balcells, 2022. "Determinants of firm boundaries and organizational performance: an empirical investigation of the Chilean truck market," Journal of Evolutionary Economics, Springer, vol. 32(2), pages 423-461, April.
    35. Renata Grzeda Latocha & Gernot Nerb, 2004. "Modelling Short-term Interest Rates in the Euro Area Using Business Survey Data," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(1), pages 43-69.
    36. Theologos Pantelidis & Nikitas Pittis, 2009. "Estimation and forecasting in first-order vector autoregressions with near to unit roots and conditional heteroscedasticity," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(7), pages 612-630.
    37. Choi, Sangyup, 2017. "Variability in the effects of uncertainty shocks: New stylized facts from OECD countries," Journal of Macroeconomics, Elsevier, vol. 53(C), pages 127-144.
    38. Barabas, György & Gebhardt, Heinz & Münch, Heinz Josef & Schmidt, Christoph M. & Schmidt, Torsten & Breitung, Jörg, 2005. "Methoden mittelfristiger gesamtwirtschaftlicher Projektionen: Dienstleistungsvorhaben im Auftrag des Bundesministeriums für Wirtschaft und Arbeit, Projektnummer 02/05. Vorläufiger Endbericht," RWI Projektberichte, RWI - Leibniz-Institut für Wirtschaftsforschung, number 69948, March.
    39. Franses,Philip Hans & Dijk,Dick van & Opschoor,Anne, 2014. "Time Series Models for Business and Economic Forecasting," Cambridge Books, Cambridge University Press, number 9780521817707, October.
    40. Ryan Brady, 2013. "The Spatial Diffusion of Regional Housing Prices across U.S. States," Departmental Working Papers 45, United States Naval Academy Department of Economics.
    41. Dimitrios Bakas & Karen Jackson & Georgios Magkonis, 2020. "Trade (Dis)integration: The Sudden Death of NAFTA," Open Economies Review, Springer, vol. 31(4), pages 931-943, September.
    42. Madden, Gary & Savage, Scott J. & Coble-Neal, Grant, 2002. "Forecasting United States-Asia international message telephone service," International Journal of Forecasting, Elsevier, vol. 18(4), pages 523-543.
    43. Hiroaki Chigira & Taku Yamamoto, 2006. "Forcasting in large cointegrated processes," Hi-Stat Discussion Paper Series d06-169, Institute of Economic Research, Hitotsubashi University.
    44. Wu, Jyh-Lin & Lee, Chingnun & Wang, Tzu-Wei, 2011. "A re-examination on dissecting the purchasing power parity puzzle," Journal of International Money and Finance, Elsevier, vol. 30(3), pages 572-586, April.
    45. Atsuyuki Naka & David Tufte, 1997. "Examining impulse response functions in cointegrated systems," Applied Economics, Taylor & Francis Journals, vol. 29(12), pages 1593-1603.
    46. David Hendry & Michael P. Clements, 2010. "Forecasting from Mis-specified Models in the Presence of Unanticipated Location Shifts," Economics Series Working Papers 484, University of Oxford, Department of Economics.
    47. Chevillon, Guillaume, 2009. "Multi-step forecasting in emerging economies: An investigation of the South African GDP," International Journal of Forecasting, Elsevier, vol. 25(3), pages 602-628, July.
    48. Inayat U. Mangla & Kalim Hyder, 2017. "Global Uncertainty and Monetary Policy Effectiveness in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 22(Special E), pages 111-134, September.
    49. Xu, Xiaojie, 2014. "Causality and Price Discovery in U.S. Corn Markets: An Application of Error Correction Modeling and Directed Acyclic Graphs," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169806, Agricultural and Applied Economics Association.
    50. Fukuda, Kosei, 2007. "Joint detection of unit roots and cointegration: Data-based simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 75(1), pages 28-36.
    51. James G. Baldwin & Ian Sue Wing, 2013. "The Spatiotemporal Evolution Of U.S. Carbon Dioxide Emissions: Stylized Facts And Implications For Climate Policy," Journal of Regional Science, Wiley Blackwell, vol. 53(4), pages 672-689, October.
    52. Iqbal, Javed, 2011. "Forecasting Performance of Alternative Error Correction Models," MPRA Paper 29826, University Library of Munich, Germany, revised 19 Mar 2011.
    53. Haug, Alfred A. & Jędrzejowicz, Tomasz & Sznajderska, Anna, 2019. "Monetary and fiscal policy transmission in Poland," Economic Modelling, Elsevier, vol. 79(C), pages 15-27.
    54. Zijun Wang & David A. Bessler, 2003. "Forecast evaluations in meat demand analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 19(4), pages 505-523.
    55. Yvon Fauvel & Alain Paquet & Christian Zimmermann, 1999. "A Survey on Interest Rate Forecasting," Cahiers de recherche CREFE / CREFE Working Papers 87, CREFE, Université du Québec à Montréal.
    56. Kosei Fukuda, 2011. "Cointegration rank switching model: an application to forecasting interest rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(5), pages 509-522, August.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Jin-Lung (henry) Lin should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.