IDEAS home Printed from https://ideas.repec.org/a/ioe/cuadec/v23y1986i68p101-118.html

Predicción de Inflación con Modelos de Series de Tiempo Múltiples

Author

Listed:
  • Pablo Marshall

Abstract

This paper presents a dynamic econometric model for monthly inflation rates in Chile from 1977 to 1983. For this purpose alternative price change forecast methods are empirically considered. Based on a 2 goods (traded and non traded) 2 factors (labor and

Suggested Citation

  • Pablo Marshall, 1986. "Predicción de Inflación con Modelos de Series de Tiempo Múltiples," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 23(68), pages 101-118.
    • Handle: RePEc:ioe:cuadec:v:23:y:1986:i:68:p:101-118
    as

    Download full text from publisher

    File URL: http://www.economia.uc.cl/docs/068marsa.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chow, Gregory C & Lin, An-loh, 1971. "Best Linear Unbiased Interpolation, Distribution, and Extrapolation of Time Series by Related Series," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 372-375, November.
    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. Justin Doran & Bernard Fingleton, 2014. "Economic shocks and growth: Spatio-temporal perspectives on Europe's economies in a time of crisis," Papers in Regional Science, Wiley Blackwell, vol. 93, pages 137-165, November.
    2. Caruso, Alberto & Reichlin, Lucrezia & Ricco, Giovanni, 2019. "Financial and fiscal interaction in the Euro Area crisis: This time was different," European Economic Review, Elsevier, vol. 119(C), pages 333-355.
    3. Hartwell, Christopher A., 2014. "The impact of institutional volatility on financial volatility in transition economies : a GARCH family approach," BOFIT Discussion Papers 6/2014, Bank of Finland, Institute for Economies in Transition.
    4. Ewert Kleynhans & Clive Coetzee, 2021. "Regional Business Confidence as Early Indicator of Regional Economic Growth," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 19(1 (Spring), pages 27-48.
    5. Jérôme Héricourt & Iuliana Matei, 2007. "Transmission de la politique monétaire dans les pays d'E urope centrale et orientale : que savons-nous vraiment ?," Economie & Prévision, La Documentation Française, vol. 0(4), pages 221-238.
    6. Kim, Hyun Hak & Swanson, Norman R., 2018. "Mining big data using parsimonious factor, machine learning, variable selection and shrinkage methods," International Journal of Forecasting, Elsevier, vol. 34(2), pages 339-354.
    7. Benati, Luca, 2007. "Drift and breaks in labor productivity," Journal of Economic Dynamics and Control, Elsevier, vol. 31(8), pages 2847-2877, August.
    8. Sun, Hang & Bos, Jaap W.B. & Li, Zhuo, 2017. "In the Nick of Time: A Heteroskedastic SVAR Model and Its Application to the Crude Oil Futures Market," Research Memorandum 019, Maastricht University, Graduate School of Business and Economics (GSBE).
    9. repec:ptu:bdpart:b200407 is not listed on IDEAS
    10. Campbell Leith & Jim Malley, 2007. "A Sectoral Analysis of Price-Setting Behavior in U.S. Manufacturing Industries," The Review of Economics and Statistics, MIT Press, vol. 89(2), pages 335-342, May.
    11. Kyosuke Chikamatsu, Naohisa Hirakata, Yosuke Kido, Kazuki Otaka, 2018. "Nowcasting Japanese GDPs," Bank of Japan Working Paper Series 18-E-18, Bank of Japan.
    12. Álvaro Riascos, 2002. "Dynamic response to monetary shocks in a search model of the labor market," Revista de Economía del Rosario, Universidad del Rosario.
    13. Bekiros, Stelios D., 2014. "Exchange rates and fundamentals: Co-movement, long-run relationships and short-run dynamics," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 117-134.
    14. Christian Schoder, 2014. "The fundamentals of sovereign debt sustainability: evidence from 15 OECD countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(2), pages 247-271, May.
    15. Fabio Pammolli & Francesco Porcelli & Francesco Vidoli & Monica Auteri & Guido Borà, 2017. "La spesa sanitaria delle Regioni in Italia - Saniregio2017," Working Papers CERM 01-2017, Competitività, Regole, Mercati (CERM).
    16. Massimo Gerli & Giovanni Marini, 2006. "Spatial and Temporal Time Series Conversion: A Consistent Estimator of the Error Variance-Covariance Matrix," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2005(3), pages 373-405.
    17. Stéphane Lhuissier & Fabien Tripier, 2016. "Do Uncertainty Shocks Always Matter for Business Cycles?," Working Papers 2016-19, CEPII research center.
    18. Xiwen Bai & Jesús Fernández-Villaverde & Yiliang Li & Francesco Zanetti, 2024. "The Causal Effects of Global Supply Chain Disruptions on Macroeconomic Outcomes: Evidence and Theory," Economics Series Working Papers 1033, University of Oxford, Department of Economics.
    19. Viv B. Hall & C. John McDermott, 2006. "The New Zealand Business Cycle: Return To Golden Days?," CAMA Working Papers 2006-21, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    20. Tai-Hock Kuek & Chin-Hong Puah & M. Affendy Arip, 2019. "Predicting Financial Vulnerability in Malaysia: Evidence From the Signals Approach," Research in World Economy, Research in World Economy, Sciedu Press, vol. 10(3), pages 89-98, December.
    21. Ben S. Bernanke & Mark Gertler & Mark Watson, 1997. "Systematic Monetary Policy and the Effects of Oil Price Shocks," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1), pages 91-157.

    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:ioe:cuadec:v:23:y:1986:i:68:p:101-118. 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: Jaime Casassus (email available below). General contact details of provider: https://edirc.repec.org/data/iepuccl.html .

    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.