IDEAS home Printed from https://ideas.repec.org/a/eee/intfor/v16y2000i1p59-69.html
   My bibliography  Save this article

Exact smoothing for stationary and non-stationary time series

Author

Listed:
  • Casals, Jose
  • Jerez, Miguel
  • Sotoca, Sonia

Abstract

No abstract is available for this item.

Suggested Citation

  • Casals, Jose & Jerez, Miguel & Sotoca, Sonia, 2000. "Exact smoothing for stationary and non-stationary time series," International Journal of Forecasting, Elsevier, vol. 16(1), pages 59-69.
    • Handle: RePEc:eee:intfor:v:16:y:2000:i:1:p:59-69
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0169-2070(99)00030-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. repec:cep:stiecm:/1992/241 is not listed on IDEAS
    2. Swamy, P A V B & Tavlas, George S, 1995. "Random Coefficient Models: Theory and Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 9(2), pages 165-196, June.
    3. Ralph D. Snyder & Grant R. Saligari, 1996. "Initialization Of The Kalman Filter With Partially Diffuse Initial Conditions," Journal of Time Series Analysis, Wiley Blackwell, vol. 17(4), pages 409-424, July.
    4. Casals, Jose & Sotoca, Sonia, 1997. "Exact initial conditions for maximum likelihood estimation of state space models with stochastic inputs," Economics Letters, Elsevier, vol. 57(3), pages 261-267, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bujosa, Marcos & Garcia-Ferrer, Antonio & Young, Peter C., 2007. "Linear dynamic harmonic regression," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 999-1024, October.
    2. José Casals & Sonia Sotoca & Miguel Jerez, 2012. "Minimally Conditioned Likelihood for a Nonstationary State Space Model," Documentos de Trabajo del ICAE 2012-04, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    3. Garcia Marquez, Fausto Pedro & Pedregal Tercero, Diego Jose & Schmid, Felix, 2007. "Unobserved Component models applied to the assessment of wear in railway points: A case study," European Journal of Operational Research, Elsevier, vol. 176(3), pages 1703-1712, February.
    4. José Casals Carro & Miguel Jerez Méndez & Sonia Sotoca López, 2006. "Decomposition of state-space Model with inputs: The theory and an application to estimate the ROI of advertising," Documentos de Trabajo del ICAE 0602, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Bušs, Ginters, 2009. "Comparing forecasts of Latvia's GDP using simple seasonal ARIMA models and direct versus indirect approach," MPRA Paper 16684, University Library of Munich, Germany.
    6. José Casals & Miguel Jerez & Sonia Sotoca, 2009. "Modelling and forecasting time series sampled at different frequencies," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(4), pages 316-342.
    7. Anh D. M. Nguyen & Luisanna Onnis & Raffaele Rossi, 2021. "The Macroeconomic Effects of Income and Consumption Tax Changes," American Economic Journal: Economic Policy, American Economic Association, vol. 13(2), pages 439-466, May.
    8. Juan de Dios Tena & Miguel Jerez & Sonia Sotoca & Nicole Carvallo, 2006. "A Proposal to Obtain a Long Quarterly Chilean GDP Series," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 43(128), pages 285-300.
    9. Malagon, Juliana & Moreno, David & Rodríguez, Rosa, 2015. "The idiosyncratic volatility anomaly: Corporate investment or investor mispricing?," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 224-238.

    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. Fleur Wouterse, 2016. "Can human capital variables be technology changing? An empirical test for rural households in Burkina Faso," Journal of Productivity Analysis, Springer, vol. 45(2), pages 157-172, April.
    2. Hondroyiannis, George & Swamy, P. A. V. B. & Tavlas, George S., 2000. "Is the Japanese economy in a liquidity trap?," Economics Letters, Elsevier, vol. 66(1), pages 17-23, January.
    3. Bresson, Georges & Dargay, Joyce & Madre, Jean-Loup & Pirotte, Alain, 2003. "The main determinants of the demand for public transport: a comparative analysis of England and France using shrinkage estimators," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(7), pages 605-627, August.
    4. Atul DAR & Sal AMIRKHALKHALI, 2011. "On the Impact of Openness and Regulatory Quality on Saving- Investment Dynamics in Emerging Economies," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 11(2).
    5. Stephen G.Hall & George Hondroyiannis & P.A.V.B. Swamy & George S. Tavlas, 2007. "A Portofolio Balance Approach to Euro-Area Money Demand in a Time-Varying Environment," Working Papers 61, Bank of Greece.
    6. Jalal D. Akhavein & John H. Leusner & P. A. V. B. Swamy, "undated". "Solving an Empirical Puzzle in the Capital Asset Pricing Model," Finance and Economics Discussion Series 1996-14, Board of Governors of the Federal Reserve System (U.S.), revised 04 Dec 2019.
    7. S. J. Koopman & J. Durbin, 2000. "Fast Filtering and Smoothing for Multivariate State Space Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 21(3), pages 281-296, May.
    8. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    9. Yasuji Otsuka & Bradley M. Braun, 1999. "The Random Coefficient Approach for Estimating Tax Revenue Stability and Growth," Public Finance Review, , vol. 27(6), pages 665-676, November.
    10. Ludo Peeters & Coro Chasco-Yrigoyen, 2005. "Ecological Inference And Spatial Heterogeneity - A New Approach Based On Entropy Econometrics," ERSA conference papers ersa05p705, European Regional Science Association.
    11. Stephen Hall & George Hondroyiannis & P. Swamy & George Tavlas, 2010. "The Fisher Effect Puzzle: A Case of Non-Linear Relationship?," Open Economies Review, Springer, vol. 21(1), pages 91-103, February.
    12. Marrouch, Walid & Turk-Ariss, Rima, 2012. "Bank pricing under oligopsony-oligopoly: Evidence from 103 developing countries," BOFIT Discussion Papers 1/2012, Bank of Finland Institute for Emerging Economies (BOFIT).
    13. George Hondroyiannis & Sophia Lazaretou, 2007. "Inflation persistence during periods of structural change: an assessment using Greek data," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 34(5), pages 453-475, December.
    14. Ludo Peeters, 2011. "Controlling For Heterogeneity And Asymmetry In Cross-Section Gravity Models Of Aggregate Migration: Evidence From Mexico," ERSA conference papers ersa10p329, European Regional Science Association.
    15. Peeters, Ludo M. K., 2004. "Estimating a random-coefficients sample-selection model using generalized maximum entropy," Economics Letters, Elsevier, vol. 84(1), pages 87-92, July.
    16. Hondroyiannis, George & Swamy, P.A.V.B. & Tavlas, George S., 2009. "The New Keynesian Phillips Curve In A Time-Varying Coefficient Environment: Some European Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 13(2), pages 149-166, April.
    17. Atul A. DAR & Sal AMIRKHALKHALI, 2014. "On The Impact Of Public Debt On Economic Growth," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 14(1), pages 21-32.
    18. Naderi, A. & Mace, J., 2003. "Education and earnings: a multilevel analysis: A case study of the manufacturing sector in Iran," Economics of Education Review, Elsevier, vol. 22(2), pages 143-156, April.
    19. Hensher, David A. & Li, Zheng, 2010. "Accounting for differences in modelled estimates of RP, SP and RP/SP direct petrol price elasticities for car mode choice: A warning," Transport Policy, Elsevier, vol. 17(3), pages 191-195, May.
    20. Ralph D. Snyder & J. Keith Ord, 2009. "Exponential Smoothing and the Akaike Information Criterion," Monash Econometrics and Business Statistics Working Papers 4/09, Monash University, Department of Econometrics and Business Statistics.

    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:intfor:v:16:y:2000:i:1:p:59-69. 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/ijforecast .

    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.