A review of the Phillips Curve in Bolivia

Authors

  • Mauricio Mora Barrenechea

DOI:

https://doi.org/10.35319/lajed.202135442

Keywords:

Phillips Curve, Generalized Method of Moments, recursive regressions

Abstract

This paper conducts exploratory empirical research on the status of the slope of the Phillips curve for the Bolivian economy with quarterly data, for the period between 1992Q2–2019Q4, using the Generalized Method of Moments (GMM) with recursive regressions. For this purpose, an output gap consistent with economic theory was estimated. The results show
that the output gap has a positive and significant effect on inflation in the short term, so the Phillips Curve does hold. Furthermore, the link between inflation and the business cycle has
been strengthened in recent years. Although inflationary inertia is the main determinant in price formation, the importance of expectations increased over time. The effect of the external sector decreased in the last five years.

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References

Acosta, A., Barráez, D., Pérez, D. y Pérez, J.C. (2011). La inflación en América Latina durante el período 1995-2010: Un estudio de panel dinámico de curvas Phillips frecuentista y bayesiano.

Amberger, J. y Fendel, R. (2017). The Slope of the Euro Area Phillips Curve: Always and Everywhere the Same? Applied Economics and Finance, 4(3), 77-88.

Aquino, J. (2019). The Small Open Economy New-Keynesian Phillips Curve: Specification, Structural Breaks and Robustness. Working Papers 2019-019, Banco Central de Reserva del Perú.

Baley, I. y Blanco, J. A. (2013). Learning to price. Contribution to 4th Ifo Conference on Macroeconomics and Survey Data, December 2013.

Ball, L. M. y Mazumder, S. (2011). Inflation dynamics and the great recession. National Bureau of Economic Research Working Paper, 17044.

Banco Central de Bolivia, BCB (2008). Informe de política monetaria. Julio 2008. La Paz, Bolivia.

Banco Central de Reserva del Perú, BCRP (2019). Recuadro 6: relación entre inflación y actividad económica en el corto plazo. En Reporte de inflación: panorama actual y proyecciones macroeconómicas 2019-2021.

Basistha, A. y Nelson, C. R. (2007). New Measures of the Output Gap based on the Forward-Looking New Keynesian Phillips Curve. Journal of Monetary Economics, 54(2), 498-511.

Binder, C. C. (2015). Whose expectations augment the Phillips curve? Economics Letters, 136(C), 35-38.

Calvo, G. A. (1983). Staggered prices in a utility maximizing framework. Journal of Monetary Economics, 12(3), 383-398.

Campoverde, A., Ortiz, C. y Sánchez, V. (2016). Relación entre la inflación y el desempleo: una aplicación de la curva de Phillips para Ecuador, Latinoamérica y el mundo. Revista Económica, 1(1), 383-398.

Clark, P.K. (1987). The cyclical component of US economic activity. Quarterly Journal of Economics, 102(4), 797-814.

Coibion, O. y Gorodnichenko, Y. (2015). Is the Phillips curve alive and well after all? Inflation expectations and the missing disinflation. American Economic Journal: Macroeconomics, 7(1), 197-232.

Coibion, O., Gorodnichenko, Y. y Kamdar, R. (2018). The formation of expectations, inflation and the Phillips curve. Journal of Economic Literature, 56(4), 1447-1491.

Comisión Europea (2014). Analysing current disinflationary trends in the Euro Area. European Economy: European Economic Forecast, 2/2014.

Croushore, D.D. (1993). Introducing: The Survey of Professional Forecasters. Business Review-Federal Reserve Bank of Philadelphia (November/December), 3-15.

D’amato, L. y Garegnani, M. L. (2009). La dinámica de corto plazo de la inflación: estimando una curva de Phillips híbrida neokeynesiana para Argentina (1993-2007). Banco Central de la República Argentina, Ensayos Económicos, 55, 33-56.

Ferreira, E., Arruda, M.T. y Castelar, I. (2018). Ciclos económicos, expectativas e inflación en el Brasil: análisis a partir de la curva de Phillips neokeynesiana. Revista de la CEPAL, 124, 155-171.

Fischer, S. (1977). Long Term contracts, rational expectations, and the optimal money supply rule. Journal of Political Economy, 85, 163-190.

Fondo Monetario Internacional, FMI, (2013). The dog that didn’t bark: Has inflation been muzzled or was it just sleeping. En IMF World Economic Outlook (pp.1-17).

Friedman, M. (1968). The Role of Monetary Policy. American Economic Review. 58(1), 1-17.

Fuhrer, J. & Moore, G. (1995). Inflation Persistence. The Quarterly Journal of Economics, 110(1), 127-159.

Galí, J., y Gertler, M. (1999). Inflation dynamics: A structural econometric analysis. Journal of Monetary Economics, 44(2), 195-222

Galí, J., Gertler, M. y López-Salido, J.D. (2001). European inflation dynamics. European Economic Review, 45(7), 1237-1270

Galí, J. y Monacelli, T. (2005). Monetary Policy and Exchange Rate Volatility in a Small Open Economy. Review of Economic Studies, 72(3), 707-734.

Hansen, L. P. (1982). Large Sample Properties of Generalized Method of Moments Estimators. Econometrica, 50(4), 1029-1054.

Harvey, A.C. (1985). Trends and cycles in macroeconomic time series. Journal of Business & Economic Statistics, 3(3), 216-27.

Kalman, R.E. (1960). A new approach to linear filtering and prediction problems. Journal of Basic Engineering , 82(1), 35-45.

---------- (1963). New methods in Wiener filtering theory. En J. Bogdanoff y F. Kozin (eds.), Proceedings of the first symposium on engineering applications of random function theory and probability (pp. 270-388). Wiley.

Kalman, R.E. y Bucy, R.S. (1961). New results in linear filtering and prediction theory. Journal of Basic Engineering , 83(1), 95-108.

Karlsson, S. y Österholm, P. (2018). A Note on the Stability of the Swedish Philips Curve. (Working Papers 2018:6). Orebro University, School of Business.

Kuttner, K. y Robinson, T. (2010). Understanding the Flattening of the Phillips Curve. North American Journal of Economics and Finance, 21(2), 110-125.

Lanau, S.; Robles, A. y Toscani, F. (2018). Explaining Inflation in Colombia: A Disaggregated Phillips Curve Approach. (IMF Working Paper Nº 18/106). International Monetary Fund.

Lindé, J. y Trabandt, M. (2019, 12 noviembre). Resolving the missing deflation and inflation puzzles. VOX, CEPR Policy Portal. https://voxeu.org/article/resolving-missing-deflation-and-inflation-puzzles.

Mankiw, N.G., Reis, R. y Wolfers, J. (2003) Disagreement about Inflation Expectations. En M. Gertler & K. Rogoff (eds.), NBER Macroeconomics Annual Vol. 18 (pp. 209-248). The MIT Press.

Matheson, T. y Stavrev, E. (2013). The Great Recession and the Inflation Puzzle. Economics Letters, 120(3), 468-472.

Mavroeidis, M., Plagborg-Møller, M. y Stock, J. (2014). Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve. Journal of Economic Literature, 52(1), 124-188.

Meeks, R. y Monti, F. (2019). Heterogeneous beliefs and the Phillips curve (Bank of England working papers 807). Bank of England.

Medel, C. (2015). Dinámica inflacionaria y la curva de Phillips híbrida neokeynesiana: el caso de Chile. Monetaria, XXXVII(1), 27-78.

Medina, L. y Schneider, F. (2018). Shadow economies around the world: what did we learn over the last 20 years? (IMF Working Paper, WP/18/17). International Monetary Fund.

Mendieta, P. y Rodríguez, H. (2007). Una Curva de Phillips neokeynesiana empirica para el caso de Bolivia. Ponencia en la Primera Jornada de Modelación Económica de Bancos Centrales. Buenos Aires.

Mendieta, P. y Barbery, C.H. (2017). Entendiendo la Curva de Phillips del siglo XXI: estado de la cuestión. Revista Latinoamericana de Desarrollo, (28), 135-164. https://doi.org/10.35319/lajed.20172840

Melnick, R. and Strohsal, T. (2016). Disinflation and the Phillips Curve: Israel 1986-2015. (SFB 649 Discussion Papers SFB649DP2016-039). Humboldt University, Berlin, Germany.

Milucka, D. (2014). Inflation dynamics in the Czech Republic: Estimation of the New Keynesian Phillips curve. International Journal of Economic Sciences, III(2), 53-70.

Montoriol, J. (2015). Crecimiento sin inflación ¿Qué nos dice la Curva de Phillips? Informe Mensual-La Caixa, Expectativas de inflación, ISSN 1134-1947, Nº. 387.

Mora, M., Heredia, J.C., y Zeballos, D. (2018). The Time-Varying Degree of Inflation Expectation Anchoring in Bolivia. (IDB Working Paper Series 879). Inter-American Development Bank.

Mora, M. (2020). Cambios en el tiempo de los efectos de los precios de las materias primas en Bolivia. Revista de Análisis del Banco Central de Bolivia, 32, 123-16.

Murillo, A. (2014). Estimación de una curva de Phillips neokeynesiana para Bolivia. (Documento de trabajo Nº 05/2014). Banco Central de Bolivia.

Neiss, K. S. y Nelson, E. (2002). Inflation Dynamics, Marginal Cost, and the Output Gap: Evidence from Three Countries. Proceedings, 37. 10.1353/mcb.2006.0008.

Occhino, F. (2019). The Flattening of the Phillips Curve: Policy Implications Depend on the Cause. Economic Commentary. Federal Reserve Bank of Cleveland. 10.26509/ frbc-ec-201911

Parkin, M. (2009). Economía. México: Pearson Educación.

Phelps, E.S. (1967). Phillips Curves, Expectations of Inflation and Optimal Unemployment over Time. Economica, 34(135), 254-281.

Phillips, P. y Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335-346.

Phillips, W. (1958). The Relation Between Unemployment and the Rate of Change of Money Wage Rates in the United Kingdom, 1861-1957. Economica, 25(100), 283-299.

Riggi, M. y Venditti, F. (2014). Surprise! Euro Area inflation has fallen. (Bank of Italy Occasional Paper, Nº 237).

Roberts, J.M. (1995). New Keynesian Economics and the Phillips Curve. Journal of Money, Credit and Banking, 27(4), 975-984.

---------- (1998). Inflation Expectations and the Transmission of Monetary Policy. Federal Reserve Board. https://dx.doi.org/10.2139/ssrn.141651

Rodríguez, G. (2010). Using a Forward-Looking Phillips Curve to estimate the Output Gap in Peru. Review of Applied Economics, 6(1-2), 1-13.

Rudd, J. y Whellan, K. (2007). Modeling Inflation Dynamics: A Critical Review of Recent Research. Journal of Money, Credit and Banking, 38(s1), 155-170.

Rummel, O. (2015). Estimating the output gap for Kenya: a practical guide to some state- space and Kalman filter trend-cycle decompositions. Centre for Central Banking Studies, Bank of England.

Stella, A. y Stock, J. H. (2012). A state-dependent model for inflation forecasting. (International Finance Discussion Papers 1062). The Federal Reserve Board.

Stevens, A. (2013). What inflation developments reveal about the Phillips curve: Implications for monetary policy. National Bank of Belgium Economic Review, (iii), 67-76.

Taylor, J. B. (1980). Aggregate dynamics and staggered contracts. Journal of Political Economy, 88(1), 1-23.

Valdivia, D. (2008). ¿Es importante la fijación de precios para entender la dinámica de la inflación en Bolivia? (Serie de Documentos de Trabajo sobre Desarrollo No. 02/2008). Instituto de Estudios Avanzados en Desarrollo (INESAD).

Vavra, J. S. (2014). Time-varying Phillips curves. (National Bureau of Economic Research, Working Paper, Nº 19790). National Bureau of Economic Research.

Vogel, L. (2008). The Relationship between the Hybrid New Keynesian Phillips Curve and the NAIRU over Time. (Macroeconomics and Finance Series 200803). University of Hamburg, Department of Socioeconomics.

Yiqun G.C. (2019). Inflation, Inflation Expectations, and the Phillips Curve. (Working Papers 55501). Congressional Budget Oflce.

Una revisión a la Curva de Phillips en Bolivia

Published

2021-05-07

How to Cite

Mora Barrenechea, M. (2021). A review of the Phillips Curve in Bolivia. Latin American Journal of Economic Development, 19(35), 159–185. https://doi.org/10.35319/lajed.202135442