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La relación entre los ciclos discretos en la inflación y el crecimiento: Perú 1993 - 2012

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  • Barrera, Carlos

    (Banco Central de Reserva del Perú)

Abstract

El presente estudio contrasta la hipótesis de una relación no lineal entre la inflación y el crecimiento de la actividad económica del Perú con datos que cubren el periodo enero 1993 - junio 2012. Se usa una familia de modelos dicotómicos que enfatizan la relación entre las fases de aceleración y desaceleración presentes en los ciclos de ambas variables. Se estiman modelos logit uni-ecuacionales auto-regresivos así como modelos probit bi-ecuacionales estáticos y auto-regresivos. Los resultados sugieren la existencia de una relación estocástica entre los ciclos discretos de inflación y actividad económica.

Suggested Citation

  • Barrera, Carlos, 2014. "La relación entre los ciclos discretos en la inflación y el crecimiento: Perú 1993 - 2012," Working Papers 2014-024, Banco Central de Reserva del Perú.
  • Handle: RePEc:rbp:wpaper:2014-024
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    1. Bertrand Candelon & Elena-Ivona Dumitrescu & Christophe Hurlin & Franz C. Palm, 2013. "Multivariate Dynamic Probit Models: An Application to Financial Crises Mutation," Advances in Econometrics, in: VAR Models in Macroeconomics – New Developments and Applications: Essays in Honor of Christopher A. Sims, volume 32, pages 395-427, Emerald Group Publishing Limited.
    2. Eliasson, Ann-Charlotte, 1999. "Is the short-run Phillips curve nonlinear? Empirical evidence for Australia, Sweden and the United States," SSE/EFI Working Paper Series in Economics and Finance 330, Stockholm School of Economics.
    3. Emmanuel De Veirman, 2009. "What Makes the Output–Inflation Trade‐Off Change? The Absence of Accelerating Deflation in Japan," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1117-1140, September.
    4. Baglan, Deniz & Yoldas, Emre, 2014. "Non-linearity in the inflation–growth relationship in developing economies: Evidence from a semiparametric panel model," Economics Letters, Elsevier, vol. 125(1), pages 93-96.
    5. Alberto Musso & Livio Stracca & Dick van Dijk, 2009. "Instability and Nonlinearity in the Euro-Area Phillips Curve," International Journal of Central Banking, International Journal of Central Banking, vol. 5(2), pages 181-212, June.
    6. B. D. McCullough and H. D. Vinod, 2001. "Diagnosing Failure: When is an Estimation Problem Too Large for a PC?," Computing in Economics and Finance 2001 246, Society for Computational Economics.
    7. Harding, Don & Pagan, Adrian, 2003. "A comparison of two business cycle dating methods," Journal of Economic Dynamics and Control, Elsevier, vol. 27(9), pages 1681-1690, July.
    8. Barrera, Carlos, 2010. "¿Respuesta asimétrica de precios domésticos de combustibles ante choques en el WTI?," Working Papers 2010-016, Banco Central de Reserva del Perú.
    9. Acemoglu, Daron & Johnson, Simon & Robinson, James A. & Yared, Pierre, 2009. "Reevaluating the modernization hypothesis," Journal of Monetary Economics, Elsevier, vol. 56(8), pages 1043-1058, November.
    10. Guy Debelle & James Vickery, 1998. "Is the Phillips Curve A Curve? Some Evidence and Implications for Australia," The Economic Record, The Economic Society of Australia, vol. 74(227), pages 384-398, December.
    11. Fijorek, Kamil & Sokolowski, Andrzej, 2012. "Separation-Resistant and Bias-Reduced Logistic Regression: STATISTICA Macro," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 47(c02).
    12. A. G. Sleeman, 2011. "Retrospectives: The Phillips Curve: A Rushed Job?," Journal of Economic Perspectives, American Economic Association, vol. 25(1), pages 223-238, Winter.
    13. Gerhard Bry & Charlotte Boschan, 1971. "Foreword to "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs"," NBER Chapters, in: Cyclical Analysis of Time Series: Selected Procedures and Computer Programs, pages -1, National Bureau of Economic Research, Inc.
    14. Zorn, Christopher, 2005. "A Solution to Separation in Binary Response Models," Political Analysis, Cambridge University Press, vol. 13(2), pages 157-170, April.
    15. Heikki Kauppi & Pentti Saikkonen, 2008. "Predicting U.S. Recessions with Dynamic Binary Response Models," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 777-791, November.
    16. Groen, Jan J J & Mumtaz, Haroon, 2008. "Investigating the structural stability of the Phillips curve relationship," Bank of England working papers 350, Bank of England.
    17. Barrera, Carlos, 2009. "Ciclos sectoriales de los negocios en el Perú e indicadores anticipados para el crecimiento del PBI no primario," Working Papers 2009-013, Banco Central de Reserva del Perú.
    18. Jacques Huguenin & Florian Pelgrin & Alberto Holly, 2009. "Estimation of multivariate probit models by exact maximum likelihood," Working Papers 0902, University of Lausanne, Institute of Health Economics and Management (IEMS).
    19. Harding, Don & Pagan, Adrian, 2002. "Dissecting the cycle: a methodological investigation," Journal of Monetary Economics, Elsevier, vol. 49(2), pages 365-381, March.
    20. Carrera, César & Ramírez-Rondán, N.R., 2019. "Inflation, Information Rigidity, And The Sticky Information Phillips Curve," Macroeconomic Dynamics, Cambridge University Press, vol. 23(7), pages 2597-2615, October.
    21. Gerhard Bry & Charlotte Boschan, 1971. "Cyclical Analysis of Time Series: Selected Procedures and Computer Programs," NBER Books, National Bureau of Economic Research, Inc, number bry_71-1.
    22. Barrera, Carlos R., 2011. "Impacto amplificador del ajuste de inventarios ante choques de demanda según especificaciones flexibles," Working Papers 2011-009, Banco Central de Reserva del Perú.
    23. Barrera, Carlos, 2012. "El ciclo común y los grupos homogéneos en la inflación," Working Papers 2012-010, Banco Central de Reserva del Perú.
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    More about this item

    Keywords

    modelos de series de tiempo; regresión discreta; modelos logit; construcción y evaluación de modelos; predicción; fl uctuaciones en los negocios;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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