IDEAS home Printed from https://ideas.repec.org/a/eee/asieco/v17y2006i6p955-978.html

Maximum entropy ensembles for time series inference in economics

Author

Listed:
  • Vinod, Hrishikesh D.

Abstract

No abstract is available for this item.

Suggested Citation

  • Vinod, Hrishikesh D., 2006. "Maximum entropy ensembles for time series inference in economics," Journal of Asian Economics, Elsevier, vol. 17(6), pages 955-978, December.
  • Handle: RePEc:eee:asieco:v:17:y:2006:i:6:p:955-978
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1049-0078(06)00134-5
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Jushan Bai & Serena Ng, 2004. "A PANIC Attack on Unit Roots and Cointegration," Econometrica, Econometric Society, vol. 72(4), pages 1127-1177, July.
    2. Vinod, H D, 1985. "Measurement of Economic Distance between Blacks and Whites: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(4), pages 408-409, October.
    3. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    4. Vinod, H D, 1985. "Measurement of Economic Distance between Blacks and Whites," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(1), pages 78-88, January.
    5. Itzhak Gilboa & David Schmeidler, 2003. "Inductive Inference: An Axiomatic Approach," Econometrica, Econometric Society, vol. 71(1), pages 1-26, January.
    6. Spanos,Aris, 1999. "Probability Theory and Statistical Inference," Cambridge Books, Cambridge University Press, number 9780521424080.
    7. Jeremy Berkowitz & Lutz Kilian, 2000. "Recent developments in bootstrapping time series," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 1-48.
    8. Sen, Amit, 2003. "On Unit-Root Tests When the Alternative Is a Trend-Break Stationary Process," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(1), pages 174-184, January.
    9. Vinod, H.D. & Shenton, L.R., 1996. "Exact Moments for Autor1egressive and Random walk Models for a Zero or Stationary Initial Value," Econometric Theory, Cambridge University Press, vol. 12(3), pages 481-499, August.
    10. Kyrtsou, Catherine & Labys, Walter C., 2006. "Evidence for chaotic dependence between US inflation and commodity prices," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 256-266, March.
    11. Vinod, H. D., 2004. "Ranking mutual funds using unconventional utility theory and stochastic dominance," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 353-377, June.
    12. B. D. McCullough & H. D. Vinod, 2003. "Econometrics and Software: Comments," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 223-224, Winter.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, Yang & Fang, Zheng, 2018. "Industrial electricity consumption, human capital investment and economic growth in Chinese cities," Economic Modelling, Elsevier, vol. 69(C), pages 205-219.
    2. Vinod, H.D., 2024. "Portfolio choice algorithms, including exact stochastic dominance," Journal of Financial Stability, Elsevier, vol. 70(C).
    3. Maria Heracleous & Andreas Koutris & Aris Spanos, 2006. "Testing for Structural Breaks and other forms of Non-stationarity: a Misspecification Perspective," Computing in Economics and Finance 2006 493, Society for Computational Economics.
    4. A. Talha Yalta, 2013. "Small Sample Bootstrap Inference of Level Relationships in the Presence of Autocorrelated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Working Papers 1301, TOBB University of Economics and Technology, Department of Economics.
    5. Shakoor Ahmed & Khorshed Alam & Afzalur Rashid & Jeff Gow, 2020. "Militarisation, Energy Consumption, CO2 Emissions and Economic Growth in Myanmar," Defence and Peace Economics, Taylor & Francis Journals, vol. 31(6), pages 615-641, August.
    6. Helmut Lütkepohl, 2013. "Vector autoregressive models," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 6, pages 139-164, Edward Elgar Publishing.
    7. Syed Zwick, Hélène & Syed, Sarfaraz Ali Shah & Liddle, Brantley & Lung, Sidney, 2017. "Disaggregated relationship between economic growth and energy use in OECD countries: Time-series and cross-country evidence," MPRA Paper 93271, University Library of Munich, Germany.
    8. Muhammad, Shahbaz, 2012. "Multivariate granger causality between CO2 Emissions, energy intensity, financial development and economic growth: evidence from Portugal," MPRA Paper 37774, University Library of Munich, Germany, revised 31 Mar 2012.
    9. Hadri, Kaddour & Kurozumi, Eiji & 黒住, 英司, 2008. "A Simple Panel Stationarity Test in the Presence of Cross-Sectional Dependence," CCES Discussion Paper Series 7, Center for Research on Contemporary Economic Systems, Graduate School of Economics, Hitotsubashi University.
    10. Fang, Zheng & Chen, Yang, 2017. "Electricity consumption, Education Expenditure and Economic Growth in Chinese Cities," RIEI Working Papers 2017-02, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    11. Mehmet BÖLÜKBAŞ & Mehmet Hanefi TOPAL & Hakan HOTUNLUOĞLU, 2018. "Testing Twin Deficits Hypothesis for Eu-27 and Turkey : A Panel Granger Causality Approach under Cross-sectional Dependence," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 101-119, December.
    12. Angeliki N. Menegaki, 2019. "The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies," Economies, MDPI, vol. 7(4), pages 1-16, October.
    13. Sotoudeh, M-Ali & Worthington, Andrew C., 2016. "Estimating the effects of global oil market shocks on Australian merchandise trade," Economic Analysis and Policy, Elsevier, vol. 50(C), pages 74-84.
    14. Hrishikesh Vinod & Lekha S. Chakraborty & Honey Karun, 2014. "If Deficits Are Not the Culprit, What Determines Indian Interest Rates? An Evaluation Using the Maximum Entropy Bootstrap Method," Economics Working Paper Archive wp_811, Levy Economics Institute.
    15. 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.
    16. Yalonetzky, Gaston, 2012. "Measuring group disadvantage with inter-distributional inequality indices: A critical review and some amendments to existing indices," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 6, pages 1-32.
    17. Chor Foon Tang, 2015. "How Stable is the Savings-led Growth Hypothesis in Malaysia? The Bootstrap Simulation and Recursive Causality Tests," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 9(1), pages 1-17, February.
    18. Ozcan, Burcu, 2013. "The nexus between carbon emissions, energy consumption and economic growth in Middle East countries: A panel data analysis," Energy Policy, Elsevier, vol. 62(C), pages 1138-1147.
    19. Fang, Zheng & Chen, Yang, 2017. "Human capital and energy in economic growth – Evidence from Chinese provincial data," Energy Economics, Elsevier, vol. 68(C), pages 340-358.
    20. Al Mamun, Md. & Sohag, Kazi & Hannan Mia, Md. Abdul & Salah Uddin, Gazi & Ozturk, Ilhan, 2014. "Regional differences in the dynamic linkage between CO2 emissions, sectoral output and economic growth," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 1-11.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:asieco:v:17:y:2006:i:6:p:955-978. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/asieco .

    Please note that corrections may 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.