Testing the significance and the non-linearity of the Phillips trade-off in the Euro Area

This paper tests the significance and the non-linearity of the Phillips trade-off in the aggregate Euro Area, in an unobserved components model of stochastic NAIRU and trend output featuring the Phillips equation and the Okun law as main identifying equations, with quarterly data for 1970:I-2002:III. The Phillips curve turns out to be linear and its trade-off statistically significant, while non-linearity shows up in the Okun relation. The results prove to be robust to alternative lag length structures of the model, and to alternative non-linear functional forms. The trend-cycle decompositions estimated with the model capture the main features of the Euro Area’s recent macroeconomic record.First version received: 1 September 2003 / Final version received: June 2004CEMPRE - Centro de Estudos Macroeconómicos e Previsão - is supported by the Fundação para a Ciência e a Tecnologia, Portugal, through the Programa Operacional Ciência, Tecnologia e Inovação (POCTI) of the Quadro Comunitário de Apoio III, which is financed by FEDER and Portuguese funds.We thank comments on earlier versions by Fabio Canova, Miguel St Aubyn, Alvaro Almeida, Pete Richardson, Kevin Ross, and two anonymous referees. We acknowledge James D. Hamilton’s help with the confidence bands. The usual disclaimer applies.     

Seasonality in macroeconomic time series

Recently, the seasonal characteristics of macroeconomic time series have drawn a lot of attention. It has been argued that the seasonal component of many macroeconomic time series constitutes a major part of the series measured as a proportion of the variance. In addition it has been found that the seasonal component of most macroeconomic time series is constant and best “explained” by seasonal dummies. Specifically it is often found that a Christmas boom is followed by a beginning of the year trough. Based on quarterly and monthly macroeconomic time series from a large number of countries this paper shows that many macroeconomic time series have seasonal components that are changing over time. Furthermore, the Christmas boom and especially the 1st quarter trough is not found nearly as often as one might expect.     

The missing shock: the macroeconomic impact of British Privatizations

In this paper the impact of privatization on macroeconomic performance in the United Kingdom is tested using quarterly data from 1979 to 1999. Privatization proceeds have been included in a simple analytical framework dealing with both demand and supply-side of the economy. Multivariate cointegration techniques have been used in order to consider the nonstationarity of the time series involved. The empirical results show that privatizations have no long-run effects on output in the UK. This result is consistent with microeconomic evidence that shows that in the UK ownership change per se had little impact on long term productivity trends. Moreover it is found that privatization proceeds have contributed to sustaining public expenditures.     

Human capital,innovation capability and economic growth in Portugal, 1960-2001

In maintaining that the main flaw in empirical studies on economic growth derives from the fact that they employ Solow-style neoclassical growth models, rather than testing actual endogenous growth theory, we examine the human capital-innovation-growth nexus, thus testing new growth theory more directly. We test its insights against the economic evolution of an individual country, Portugal, using time series data from 1960 to 2001. Estimates based on vector autoregressive and cointegration analysis seem to confirm that human capital and indigenous innovation efforts were enormously important to the economic growth process in Portugal during the period of study. In particular, the indirect effect of human capital through innovation, emerges here as being critical, showing that a reasonably high stock of human capital is necessary to enable a country to reap the benefits of its indigenous innovation efforts.Received: November 2003, Accepted: November 2004, JEL Classification: C22, J24, O30, O40 Correspondence to: Aurora A.C. TeixeiraThe authors are grateful to two anonymous referees, Paulo Brito and the participants of the 2003 Portuguese Society for Economics Research (SPiE) in Lisbon, Portugal for helpful comments and suggestions. CEMPRE - Centro de Estudos Macroeconómicos e Previsão - is supported by the Fundação para a Ciência e a Tecnologia, Portugal, through the Programa Operacional Ciência, Tecnologia e Inovação (POCTI) of the Quadro Comunitário de Apoio III, which is financed by FEDER and Portuguese funds.     

Efficiency in Crime Prevention: A Case Study of the Lisbon Precincts

This paper analyzes the technical efficiency of the Lisbon police precincts in order to investigate its performance. A stochastic cost frontier model is used to generate efficiency scores, assuming that efficiency is time varying. It investigates its efficiency and finds that the results are, at best, mixed since the efficient scores are low and not time varying. Therefore, an alteration of management procedures is proposed in order to enable efficiency to be increased based on a governance–environment framework.Financial support from Fundação para a Ciência e Tecnologia/MCT under FCT/POCTI partially funded by FEDER is gratefully appreciated. The authors also thank the participants at the International Atlantic Economic Conference in Lisbon, Portugal, March 10–13, 2004 for helpful comments. For our mistakes, the usual disclaimer applies.     

On the (mis)specification of seasonality and its consequences: An empirical investigation with US data

It is well known that mis-specification of a trend leads to spurious cycles in detrended data (see, e.g., Nelson and Kang (1981)). Seasonal-adjustment procedures make assumptions, either implicitly or explicitly, about roots on the unit circle both at the zero and seasonal frequencies. Consequently, seasonal-adjustment procedures may produce spurious seasonal variation and other statistically undesirable effects. In this paper we document for a large class of widely used US quarterly macroeconomic series the effects of competing seasonal-adjustment procedures on the univariate time-series properties of the adjusted series. We also investigate which procedures are most appropriate given the properties of the data. Overall, we find very significant differences and evidence that several U.S. macroeconomic time series contain a mixture of deterministic and stochastic seasonal components.     

A Macroeconometric Model for Serbia

This paper describes and evaluates a quarterly macroeconometric model for Serbia. Due to the economic restructuring and transformation in Serbia which followed the major geographical, economic, and institutional disruptions in the former Yugoslavia in the first half of the 1990s, reliable macroeconomic time series for Serbia are available only from about 1997 onwards. Hence, quarterly data have been used to estimate the behavioural equations of the model. However, for some aggregates, only annual data are available. In these cases, quarterly data have been derived by recurring to related series. Notwithstanding these data limitations, the macroeconometric model is able to replicate the endogenous variables reasonably well in an ex post simulation.     

THE CHOICE OF THE AGGREGATION LEVEL IN THE ESTIMATION OF QUARTERLY NATIONAL ACCOUNTS

Many central statistical offices use indirect time series disaggregation methods to produce quarterly national accounts estimates or other high frequency variables. This paper investigates the relation existing between the statistical properties of indirectly estimated time series and the contemporaneous aggregation level at which estimation is carried out, when a version of the Chow-Lin (1971, 1976) method is used to evaluate quarterly time series. It is shown that estimation at the lowest possible level of contemporaneous aggregation is not always optimal. In order to choose the level of contemporaneous aggregation at which time series disaggregation should be carried out, the use of formal econometric tests is suggested.     

On the performance of the Chow-Lin procedure for quarterly interpolation of annual data: Some Monte-Carlo analysis

Most of the countries of the OECD offer quarterly estimates of their national growth or of their Gross National Product. Official Statistical Agencies in western countries have to deal with the problem of estimating Quarterly National Accounts series congruently with Annual National Accounts. In Spain, the Instituto Nacional de Estadística uses the Chow-Lin disaggregation method, which is based on information provided by a group of high-frequency related variables, to estimate the quarterly components of National Accounts from annual components. In this paper, we analyse the relative quality of the estimates obtained through the Chow-Lin procedure, under different sets of hypotheses.JEL Classification: C15, C43, M40We are grateful to Maria Amparo Ripoll for her assistance. The authors also wish to thank three anonymous referees and an editor for their constructive suggestions and comments. This research was partially made during the stay of the first author at the Universidad Carlos III de Madrid. It has been partially supported by the research project DGCYT PB98-1460.     

Testing for Asymmetries in UK Macroeconomic Time Series

This paper examines the asymmetric properties of a broad range of quarterly postwar UK macroeconomic time series using recently developed test statistics for contractionary 'deepness' and 'steepness' relative to trend. We also examine the robustness of these test statistics to two alternative methods of detrending, namely Hodrick-Prescott filtering and structural time series modelling. We find strong corroborative evidence of asymmetric steepness relative to trend in durable consumption, total investment, investment in plant and machinery, exports and unemployment. We find weaker evidence of asymmetric deepness in savings, exports, labour hours, consumption and unemployment.     

Relationships between macroeconomic time series in a fixed-exchange-rate economy: The case of Italy

This paper presents an empirical analysis that is useful for the task of characterizing the dynamic structure and causal orderings of the underlying macroeconomic model of a fixed-exchange-rate economy. Particular emphasis is given to the formulation and testing of versions of the ‘natural-rate’ hypothesis, the ‘small open economy’ hypothesis, and the ‘non-sterilization’ hypothesis. These issues are examined on the basis of quarterly time series for Italy (1956 1970)     

Targets and lags in a two-equation model of US stabilization

A simple model of activist macroeconomic policy derives a reaction function by assuming that rational governments have performance objectives, but are constrained by the Phillips curve. Although not formally modeled, governments apply a variety of instruments to influence inflation and output, in addition to monetary policy these include fiscal policy, bailouts and exchange rates. Our econometric results are generally consistent with US economic history. One qualification is that governments appear more likely to target growth rates than output gaps. Another inference is that inflation expectations are more likely to be backward than forward looking; a variety of rational expectation models fit the data less well than do simple inertial expectations. We also find that annual data series are more appropriate than quarterly ones for studying these issues.     

A money demand system for German M3

A small macroeconomic model is constructed starting from a German money demand relation for M3 based on quarterly, seasonally unadjusted data for the period from 1976 to 1996. In contrast to previous studies we build a vector error correction model for M3, GNP, an inflation rate and an interest rate spread variable to represent opportunity costs of holding money. Furthermore, import price inflation is added as an exogenous variable. The model is used to analyze the relation between money growth and inflation by means of an impulse response analysis.We thank Gerd Hansen for soliciting two anonymous referee reports on an earlier version of this article and thereby helping in the editorial process for this volume. We are grateful to him, Timo Teräsvirta, Kirstin Hubrich and the two referees for comments that helped us to improve our paper. Financial support was provided by the DFG, Sonderforschungsbereich 373.     

Uncertainty determinants of corporate liquidity

This paper investigates the link between the optimal level of non-financial firms' liquid assets and uncertainty. We develop a partial equilibrium model of precautionary demand for liquid assets showing that firms alter their liquidity ratio in response to changes in either macroeconomic or idiosyncratic uncertainty. We test this hypothesis using a panel of non-financial US firms drawn from the COMPUSTAT quarterly database covering the period 1993–2002. The results indicate that firms increase their liquidity ratios when macroeconomic uncertainty or idiosyncratic uncertainty increases.     

Unit roots and structural breakpoints in China’s macroeconomic and financial time series

This paper applies unit-root tests to 10 Chinese macroeconomic and financial time series that allow for the possibility of up to two endogenous structural breaks. We found that 6 of the series, i.e., GDP, GDP per capita, employment, bank credit, deposit liabilities and investment, can be more accurately characterized as a segmented trend stationarity process around one or two structural breakpoints as opposed to a stochastic unit root process. Our findings have important implications for policy-makers to formulate long-term growth strategy and short-run stabilization policies, as well as causality analysis among the series. __________ Translated from Economic Research Journal (经济研究), 2006, (1) (in Chinese)     

An empirical note about additive outliers and nonstationarity in Latin-American inflation series

This note shows the empirical dangers of the presence of large additive outliers when testing for unit roots using standard unit root statistics. Using recent proposed procedures applied to four Latin-American inflation series, I show that the unit root hypothesis cannot be rejected.Jel classification: C2, C3, C5I want to thank Pierre Perron for useful comments on a preliminary version of this paper. Helpful comments from an anonymous referee, and Yiagadeesen Samy are appreciated. I thank the Editor Baldev Raj for useful comments about the final structure of this paper. Finally, I also thank André Lucas for helpful suggestions concerning the use of his nice computer program Robust Inference Plus Estimation (RIPE).First revision received: August 2001/Final revision received: December 2002     

Radial basis functions neural networks for nonlinear time series analysis and time-varying effects of supply shocks

I propose a flexible Radial Basis Functions (RBFs) Artificial Neural Networks method for studying the time series properties of macroeconomic variables. To assess the validity of the RBF approach, I conduct a Monte Carlo experiment using the data generated from a nonlinear New Keynesian (NK) model. I find that the RBF estimator can uncover the structure of the NK model from the simulated data of 300 observations. Finally, I apply the RBF estimator to the quarterly US data and show that the positive supply shocks have significantly weaker expansionary effects during the periods of passive monetary policy regimes.     

Testing J-curve hypothesis and analysing the effect of exchange rate volatility on the balance of trade in India

This study estimates the balance of trade model similar to Rose (1991) to test the J-curve hypothesis and analyse the effect of conditional exchange rate volatility on the balance of trade in India. The model is estimated on quarterly data from 1975:02 to 1996:03 and the exchange rate is measured alternatively in terms of the trade and export weighted real effective exchange rate. The model variables are tied together in a long run equilibrium relationship. The study does not find any evidence for the presence of the J-curve effect in the balance of trade. The study finds the presence of weak ARCH but strong GARCH effects in the exchange rate series. But this exchange rate volatility does not play any significant role in affecting the balance of trade in India.Jel classification: F31, F32, F40, F41I am grateful to Dr. Glenn Otto of the University of New South Wales, Sydney, Australia for his valuable comments and incisive suggestions which helped to improve the paper substantially. I am also gratefull to an anonymous Referee and Editor, Baldev Raj, of the Journal for giving very useful suggestions. However, I am solely responsible for any error and omission that may remain in the paper. The views expressed in the article are my personal views and not of the institution Iam associated with.First version received: October 2000/Final version received: October 2002     

On the controllability of continuous-time macroeconomic models

Summary (Abstract) It is argued in this paper that an independent control of target variables over time in continuous dynamic macroeconomic systems may not be achievable even though Aoki's well-known rank test for target path controllability is satisfied. It is shown that in many dynamical systems impulse controls are needed to steer the targets along arbitrarily given time paths. Such controls are not admissible from the macroeconomic point of view. By means of the structure algorithm by Silverman and Payne (1971) conditions for target path controllability that depend on the choice of the admissible spaces for the target and the instrument variables, are derived.The author is grateful to Professor Dr. Helmut Kuhn, Göttingen, and two anonymous referees for valuable comments on an earlier draft of this paper.     

Dynamic complexity in a stochastic rationing model

We have constructed a simple discrete-time macroeconomic model founded on individuals' stochastic optimizing behavior. Actual transactions are carried out in a sequence of disequilibrium markets in which the level of aggregate trade is the lesser of aggregate demand and supply, and in which the individual faces all-or-nothing basis stochastic rationing. In such environments, the actual transaction an individual obtains is generally different from the expectation he forms. This difference is a source of macro-dynamics. The paper demonstrates that, through the interactions of individuals in different markets, the expectation adjustment process is inherently nonlinear and generates complex dynamics involving chaos.I am indebted to Professors Richard Day, James Dulgeroff, Hajime Hori, Osamu Kamoike, Masahiro Okuno-Fujiwara, Makoto Towada, Makoto Yano, and two referees of this Journal for helpful comments and many constructive suggestions to improve the quality of this paper substantially. I am grateful to financial support from Tohyo Trust Bank. All remaining errors are my responsibility.