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Vol. 13. Núm. 44.
Páginas 101-120 (Septiembre 2010)
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Vol. 13. Núm. 44.
Páginas 101-120 (Septiembre 2010)
Open Access
Contrastación empírica del Efecto Fisher en la Unión Europea mediante técnicas de cointegración con datos de panel
Empirical Testing of the Fisher Effect in the European Union Applying Panel Cointegration Techniques
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3439
Rosa Badillo Amador**, Carmelo Reverte Maya***, Elena Rubio Vera****
** Universidad Politécnica de Cartagena, Facultad de Ciencias de la Empresa, Departamento de Economía, c/ Real, n°3, E-30201 Cartagena (Murcia)., tfno: + 34 968 325 601
*** Universidad Politécnica de Cartagena, Facultad de Ciencias de la Empresa, Departamento de Economía Financiera y Contabilidad, c/ Real, n°3, E-30201 Cartagena (Murcia)., tfno: + 34 968 325 925
**** Universidad Politécnica de Cartagena, Investigadora del grupo de I+D «Fundamentos de las decisiones sociales en economía»
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Resumen

Un gran número de estudios empíricos sugieren que el efecto Fisher, estudiado a partir de una relación de cointegración entre la tasa de inflación y el tipo de interés nominal, no se cumple. Westerlund (2008) obtiene que este hecho puede ser explicado, en parte, por la baja potencia de los tests de cointegración aplicados a cada país individualmente, y que el uso de datos de panel puede generar tests más potentes. Así, en el presente estudio utilizamos, entre otros, dos nuevos tests de cointegración para datos de panel propuestos por dicho autor que, a diferencia de los tests convencionales, no asumen la independencia entre las secciones transversales (países) y presentan mejores propiedades de potencia y tamaño. Estos tests se aplican a un panel de datos trimestrales que comprende quince países de la Unión Europea entre 1983:1 y 2009:1. Nuestros resultados revelan que, para el panel de países considerado, existe una relación de equilibrio a largo plazo entre la tasa de inflación y el tipo de interés nominal, siendo dicha relación del tipo uno a uno, tal y como postula la versión completa del efecto Fisher.

Palabras clave:
Cointegración con datos de panel y efecto Fisher
Abstract

Most empirical studies suggest that the Fisher effect, analysed through a cointegrating relationship between inflation and nominal interest rates, does not hold. Westerlund (2008) argues that this fact can be attributed in part to the low power of cointegration tests for individual countries, and that the use of panel data can generate more powerful tests. In the present study, we use, among others, two new panel cointegration tests proposed by that author that, unlike conventional panel cointegration tests, do not assume independence among crosssectional units (countries) and present better size and power properties. These tests are applied to a panel of quarterly data covering fifteen countries of the European Union between 1983:1 and 2009:1. Our results show that there is evidence for a cointegrating relationship between inflation and nominal interest rates for this panel, and that the two variables move one-to-one, as postulated by the full Fisher effect.

Key words:
Panel Cointegration and Fisher effect
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References bibliograáficas
[Atkins and Serletis, 2003]
F.J. Atkins, A. Serletis.
Bounds tests of the Gibson paradox and theFisher effect: evidence from low frequency international data.
The Manchester School, 71 (2003), pp. 673-679
[Bai, 1998]
J. Bai, P. Perron.
Estimating and testing linear models with multiple structural changes.
Econometrica, 66 (1998), pp. 47-78
[Bajo-Rubio and Esteve, 1998]
O. Bajo-Rubio, V. Esteve.
¿Existe un efecto Fisher en el largo plazo? Evidencia para la economía española: 1962–1996.
Revista de Economía Española, 15 (1998), pp. 149-166
[Banerjee and Carrion-i-Silvestre, 2006]
Banerjee, A. y Carrion-i-Silvestre, J. L. (2006), «Cointegration in panel data with breaks and cross-section dependence», Working paper, European University Institute, Department of Economics, núm. 2006/5.
[Banerjee et al., 2003]
A. Banerjee, M. Marcellino, C. Osbat.
Some cautions on the use of panel methods for integrated series of macro-economic data» Working Paper.
European University Institute, (2003),
[Banerjee et al., 2005]
A. Banerjee, M. Marcellino, C. Osbat.
Testing for PPP: Should we use panel methods?.
Empirical Economics, 30 (2005), pp. 77-91
[Breitung, 2000]
J. Breitung.
The Local Power of Some Unit Root Tests for Panel Data.
Advances in Econometrics, vol.15: Nonstationary Panels, Panel Cointegration and Dynamic Panels, pp. 161-178
[Breusch and Pagan, 1980]
T.S. Breusch, A.R. Pagan.
The Lagrange Multiplier Test and its Application to Model Specification in Econometrics.
Review of Economic Studies, 47 (1980), pp. 239-253
[Carrion-i-Silvestre et al., 2005]
J.L. Carrion-i-Silvestre, T. Del Barrio-Castro, E. López-Bazo.
Breaking the panels: An application to the GDP per capita.
Econometrics Journal, 8 (2005), pp. 159-175
[Choi, 2001]
I. Choi.
Unit Root Test for Panel Data.
Journal of International Money and Finance, 20 (2001), pp. 249-272
[Crowder and Hoffman, 1996]
W. Crowder, D. Hoffman.
The long-run relationship between nominal interest rates and inflation: the Fisher equation revisited.
Journal of Money Credit and Banking, 28 (1996), pp. 102-118
[Darby, 1975]
M.R. Darby.
The financial and tax effects of monetary policy on interest rates.
Economic Inquiry, 13 (1975), pp. 266-276
[Dickey and Fuller, 1979]
D.A. Dickey, W.A. Fuller.
Distribution of the estimators for autoregressive times series with a unit root.
Journal of the American Statistical Association, 74 (1979), pp. 427-431
[Dolado et al., 1990]
J. Dolado, T. Jenkinson, S. Sosvilla-Rivero.
Cointegration and Unit Roots.
Journal of Economics Surveys, 4 (1990), pp. 247-273
[Elliott et al., 1996]
G. Elliott, T.J. Rothenberg, J.H. Stock.
Efficient Tests for an Autoregressive Unit Root.
Ecnometrica, 64 (1996), pp. 813-836
[Engsted, 1995]
T. Engsted.
Does the long-term interest rate predict future inflation?.
Review of Economics and Statistics, 77 (1995), pp. 42-54
[Evans and Lewis, 1995]
M.D.D. Evans, K.K. Lewis.
Do expected shifts in inflation affect estimates of the long-run Fisher relation?.
Journal of Finance, 50 (1995), pp. 225-253
[Ferrer, 1998]
R. Ferrer.
Evidencia empírica de la hipótesis de Fisher en el mercado español.
Revista Europea de Dirección y Economía de la Empresa, vol. 7 (1998), pp. 135-148
[Fisher, 1930]
Fisher, I. (1930), The theory of interest, Nueva York.
[Fisher, 1932]
R.A. Fisher.
Statistical Methods for Research Workers.
4.ª ed, Edimburgo Olliver & Boyd, (1932),
[Granger and Newbold, 1974]
C.W.J. Granger, P. Newbold.
Spurious regression in econometrics.
Journal of Econometrics, 2 (1974), pp. 111-120
[Hadri, 2000]
K. Hadri.
Testing for Stationarity in Heterogeneous Panel Data.
Econometric Journal, 3 (2000), pp. 148-161
[Im et al., 2003]
K.S. Im, M.H. Pesaran, Y. Shin.
Testing for Unit Roots in Heterogeneous Panels.
Journal of Econometrics, 115 (2003), pp. 53-74
[Johansen, 1988]
S. Johansen.
Statistical analysis of cointegration vectors.
Journal of Economic Dynamics and Control, 12 (1988), pp. 231-254
[Johansen, 1991]
S. Johansen.
Estimation and hypothesis testing of cointegrating vectors in gaussian vector autoregressive models.
Econometrica, 59 (1991), pp. 1551-1580
[Johansen and Juselius, 1990]
S. Johansen, K. Juselius.
Maximum likelihood estimation and inference on cointegration, with applications to the demand for money.
Oxford Bulletin of Economics and Statistics, 52 (1990), pp. 169-210
[Johansen and Juselius, 1992]
S. Johansen, K. Juselius.
Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK.
Journal of Econometrics, 53 (1992), pp. 211-244
[Kao, 1999]
C. Kao.
Spurious Regression and Residual-Based Test for Cointegration in Panel Data.
Journal of Econometrics, 90 (1999), pp. 1-44
[Kao and Chiang, 2000]
C. Kao, M.H. Chiang.
On the estimation and inference of a cointegrated regression in panel data.
Nonstationary Panels, Panel Cointegration and Dynamic Panels, 15 (2000), pp. 179-222
[Koustas and Serletis, 1999]
Z. Koustas, A. Serletis.
On the Fisher effect.
Journal of Monetary Economics, 44 (1999), pp. 105-130
[Kwiatkowski et al., 1992]
D. Kwiatkowski, P.C.B. Phillips, P. Schmidt, S. Shin.
Testing the null hyphotesis of stationarity against the alternative of a unit root.
Journal of Econometrics, 54 (1992), pp. 159-178
[Levin et al., 2002]
A. Levin, C. Lin, F. Chu.
Unit Root Tests in Panel Data: Asymptotic and Finite-Sample Properties.
Journal of Econometrics, 108 (2002), pp. 1-24
[MacDonald and Murphy, 1989]
R. MacDonald, P.D. Murphy.
Testing for the long-run relationship between interest rates and inflation using cointegration techniques.
Applied Economics, 21 (1989), pp. 439-447
[MacKinnon et al., 1999]
J.G. MacKinnon, A.A. Haug, L. Michelis.
Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration.
Journal of Applied Econometrics, 14 (1999), pp. 563-577
[Maddala and Wu, 1999]
G.S. Maddala, S. Wu.
A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test.
Oxford Bulletin of Economics and Statistics, 61 (1999), pp. 631-652
[Mishkin, 1992]
F.S. Mishkin.
Is the Fisher effect for real? A re-examination of the relationship between inflation and interest rates.
Journal of Monetary Economics, 30 (1992), pp. 195-215
[Mundell, 1965]
R. Mundell.
Growth, stability and inflationary finance.
Journal of Political Economy, 73 (1965), pp. 97-109
[Newey and West, 1994]
W.K Newey, K.D. West.
Automatic Lag Selection in Covariance Matrix Estimation.
Review of Economic Studies, 61 (1994), pp. 631-653
[Ng and Perron, 2001]
S. Ng, P. Perron.
Lag Length Selection and the Construction of Unit Root Tests with Good Size and Power.
Econometrica, 69 (2001), pp. 1519-1554
[O’Connell, 1998]
P.G.J. O’Connell.
The overvaluation of purchasing power parity.
Journal of International Economics, 44 (1998), pp. 1-19
[Pedroni, 1999]
P. Pedroni.
Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors.
Oxford Bulletin of Economics and Statistics, 61 (1999), pp. 653-670
[Pedroni, 2004]
P. Pedroni.
Panel Cointegration; Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis.
Econometric Theory, 20 (2004), pp. 597-625
[Perron, 1988]
P. Perron.
Trends and random walks in macroeconomic time series: Further evidence from a new approach.
Journal of Economic Dynamics and Control, 12 (1988), pp. 297-332
[Pesaran, 2004]
M.H. Pesaran.
General diagnostic tests for cross section dependence in panels, Cambridge Working Papers in Economics 0435.
Faculty of Economics, University of Cambridge, (2004),
[Phillips and Perron, 1988]
P.C.B. Phillips, P. Perron.
Testing for a unit root in time series regression.
Biometrika, 75 (1988), pp. 335-346
[Rapach, 2003]
D.E. Rapach.
International evidence on the long run impact of inflation», Journal of Money.
Credit, and Banking, 35 (2003), pp. 23-48
[Sul and Phillips, Choi, 2005]
D. Sul, P.C.B. Phillips, C.Y. Choi.
Prewhitening bias in HAC estimation», Oxford Bulletin of Economics and Statistics.
Special Issue, 61 (2005), pp. 631-652
[Tobin, 1965]
J. Tobin.
Money and economic growth.
Econometrica, 36 (1965), pp. 671-684
[Westerlund, 2008]
J. Westerlund.
Panel Cointegration Tests of the Fisher Effect.
Journal of Applied Econometrics, 23 (2008), pp. 193-233

Este trabajo es resultado de los proyectos de investigación: 05838/PHCS/07 financiado por el «Programa de Generación de Conocimiento Científico de Excelencia de la Fundación Séneca, Agencia de Ciencia y Tecnología de la Región de Murcia» y ECO2008-06238-C02-01/ECON financiado por el Ministerio de Ciencia e Innovación. Agradecemos a J. L. Carrion-i-Silvestre y a J. Westerlund el facilitarnos las rutinas GAUSS de sus tests empleados en este trabajo, así como los comentarios recibidos por los dos evaluadores anónimos.

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