Econometric estimation of a variable rate of depreciation of the capital stock

Measuring the capital stock is crucial in some fields of economic research. Capital stock is not observable, though, and its estimation requires the knowledge of its rate of depreciation. In most cases, econometric regressions are not used for this task. However, this methodology could be used to estimate capital stock values which are consistent with the technology of the economy. If we assume that the depreciation rate is not constant, its estimation poses some additional technical difficulties. In this paper we suggest a method to estimate a variable rate of depreciation which is shown to have wide empirical applicability and some computational advantages. Also, this method is easily implementable in standard packages by means of NLS or ML. The formalization of this method, and empirical evidence and simulation exercises based on its implementation are presented.First version received: October 2002/Final version received: May 2004All correspondence to José A. Hernandez. We would like to thank to the University of Las Palmas project uni2002/14 for financial support and two anonymous referees for helpful comments.     

Distributional assumptions and a test of the dual labor market hypothesis

Recent application of the switching regression model to allocate workers into the primary and secondary labor markets is considered to be the best solution to the classification problem of the empirical testing of the dual labor market theory. In such models, normality of the error terms is assumed. This paper adopts the switching regression model to test the dual labor market theory by assuming different distributions of the error terms. The test results strongly support the dual labor market theory regardless of the assumption one makes about the error terms. However, the results indicate that different distribution can lead to different percentage distributions of workers in the two segments. In particular, the normal distribution generates more workers in the primary segment than the non-normal distributions. Therefore, care must be taken not to generalize the type of industries or occupations that fall under the primary and secondary segments. First version received: October 2000/Final version received: March 2002 RID="*" ID="*"  I would like to thank Kevin Lang, Robert Marshall, and two anonymous referees for their helpful comments. I am grateful for comments received from the session participants of the Western Economic Association International Conference, San Francisco, CA, June 28–July 2, 1996, and the Midwest Economic Association Conference, Kansas City, 1997. I thank George Bonney, the Chief Statistician of Fox Chase Cancer Center, Philadelphia for his comments. Any remaining errors are my responsibility. I gratefully acknowledge financial support from Penn State Research and Development Grant, 1995.     

On constrained optimal allocations with incomplete markets

Summary We provide an example of an economy with incomplete asset markets in which there is no constrained optimal allocation.I would like to thank Ramon Marimon for many helpful discussions, and to an anonymous referee for useful comments.     

Determinants of long-term growth: New results applying robust estimation and extreme bounds analysis

Two important problems exist in cross-country growth studies: outliers and model uncertainty. Employing Sala-i-Martin’s (1997a,b) data set, we first use robust estimation and analyze to what extent outliers influence OLS regressions. We then use both OLS and robust estimation techniques in applying the Extreme Bounds Analysis (EBA) to deal with the problem of model uncertainty. We find that the use of robust estimation affects the list of variables that are significant determinants of economic growth. Also the magnitude of the impact of these variables differs sometimes under the various approaches.First version received: March 2003 / Final version received: June 2004We like to thank two referees for their very helpful comments on a previous version of this paper. The usual disclaimer applies.     

Patent Policy in an Endogenous Growth Model

We investigate how the patent policy affects economic growth and social welfare based on an endogenous growth model with R&D activities. We show that the patent length that maximizes the social welfare is finite. Moreover, by introducing compulsory licensing, we also show that the patent length that maximizes the social welfare is not infinite even if the royalty rate can be controlled. Received June 29, 2001; revised version received February 5, 2002 Published online: February 17, 2003 We wish to thank two anonymous referees for their constructive comments. We also thank Akira Yakita for his helpful comments.     

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     

The riegle-neal act and local banking market concentration

The Riegle-Neal Interstate Banking and Branching Efficiency Act of 1994 greatly transformed the American banking system by allowing the widespread establishment of interstate bank branching networks. This paper examines possible effects on local banking market concentration that resulted from the provision in the Riegle-Neal Act that allowed states to opt-in to the establishment of de novo interstate branches. Regression analysis using data from more than seven hundred cities does not provide any evidence that allowing the establishment of de novo interstate branches caused increases in local banking market concentration. These results may help alleviate some concerns that passage of the Financial Services Regulatory Relief Act currently pending in Congress will result in lessened competition in local banking markets. The author would like to thank discussant Janice Breuer and other participants of the International Atlantic Economic Conference, held in Quebec City from October 16–19, 2003 for helpful comments and suggestions. The author would also like to thank Trevor Lyon for his valuable research assistance.     

Joint liability among bank borrowers

Summary. A common feature of financial intermediaries is that the welfare of one borrower is adversely affected by the poor performance of other borrowers. That is, there exists a degree of joint liability among the borrowers of a financial intermediary. This paper provides an explanation for this observation. It demonstrates that in Krasa and Villamil's [14] formalization of a financial intermediary as a delegated monitor, intermediation with joint liability between borrowers Pareto dominates intermediation without joint liability.Received: 4 September 2002, Revised: 21 March 2003, JEL Classification Numbers: D8, E5, G2, G3.I am particularly indebted to Douglas Diamond and Robert Townsend for their advice on this paper. I thank an anonymous referee for helpful comments.     

Sectoral trends and cycles in Germany

We examine the comovements between the output indexes of three German sectors (manufacturing, mining, and agriculture) and the three corresponding sectoral stock market indexes. It is found that data with and without seasonal adjustment give mixed results on the long-run interaction between the sectoral indexes. Compared with data that are non-seasonally adjusted, the adjusted data offer weaker evidence on the cointegration relationship between a) the sectoral output indexes, b) sectoral stock indexes, and c) individual pairs of real and financial indexes. On short-run comovement, seasonally adjusted data offer stronger evidence on the presence of common synchronized and non-synchronized cyclical components. First version received: March 2000/Final version received: September 2001 RID="*" ID="*"  We would like to thank Michael Dooley, Juergen von Hagen, Kenneth Kletzer, Peter Kugler, Jacky So and two anonymous referees, as well as the participants of the Fifth Global Finance Conference in Mexico City, the seminars at the University of California at Santa Cruz, University of Munich, and University of Basel for their helpful comments and suggestions. This research was supported by CGES at UC Berkeley and UC Santa Cruz faculty research funds.     

The causal relationship between financial development and economic growth in Africa

ABSTRACT

Previous empirical studies on the causal relationship between financial development and economic growth are not instructive given their failure to unearth the causality trend across the different time periods. Using a more recently developed and robust indicator of financial development, we revisit the causal relationship between financial development and economic growth within the framework of a frequency-domain spectral causality technique which allows the causality to vary across time. Using data from 47 African countries over the period 1980–2016, our findings largely suggest that, even though there is some evidence of demand-following, supply-leading and feedback hypotheses, for most part, we find strong support of neutrality hypothesis. Thus, financial development and economic growth at most frequency levels evolve independently. We infer that caution must be exercised in making general conclusions about the causal nexus between financial development and economic growth.     

"Meteor showers" and "heat waves" in Greek financial markets

This paper examines the presence of "meteor showers" and "heat waves" effects in Greek financial markets. In particular, the relationship between the stock market price index volatility and the volatility of three exchange rates (U.S. dollar, deutsche mark, and ECU) recorded on a daily basis is investigated. The results provide evidence in favor of the "heat wave" hypothesis, while the "meteor shower" hypothesis was observed only with respect to the U.S. dollar.We would like to thank, without implicating, participants in the Country Studies session of the 43rd International Atlantic Economic Conference held in London, England and especially Dorota Witkowska for helpful comments and suggestions.     

The link between inflation and inflation uncertainty: Evidence from G7 countries

In this paper we adopt the Markov-switching heteroscedasticity model to analyse the inflation series for G7 countries and examine the interaction between inflation rate and its uncertainty over both the short- and long-run. It is found that the relationship between inflation and inflation uncertainty depends on whether the shock is permanent or transitory. The relationship also differs from country to country. High uncertainty about long-run inflation is associated with a significant positive shift in inflation for Canada, Germany, and Japan. High uncertainty about short-run inflation is associated with a significant positive shift in inflation for Germany and USA, and a significant negative shift in inflation for Canada. The modelling approach employed in this paper is empirically supported by various diagnostics including the Vuong test. We also derive the two components of the variance of inflation forecast for a particular forecast horizon. It is found that the inflation uncertainty increases at all horizons in the middle of 1970s and return to the low level in the middle of 1980s.First version received: June 2001/Final version received: October 2003We would like to thank three anonymous referees for many helpful comments and suggestions.     

Homogeneous,heterogeneous or shrinkage estimators? Some empirical evidence from French regional gasoline consumption

This paper contrasts the performance of heterogeneous and shrinkage estimators versus the more traditional homogeneous panel data estimators. The analysis utilizes a panel data set from 21 French regions over the period 1973–1998 and a dynamic demand specification to study the gasoline demand in France. Out-of-sample forecast performance as well as the plausibility of the various estimators are contrasted.The authors would like to thank Jean-Loup Madre, Research Director at INRETS, for his assistance with obtaining the data set and the editor Robert M. Kunst and two referees for their helpful comments and suggestions. Badi H. Baltagi would like to thank the Bush Program in Economics of Public Policy for its support. An earlier version of this paper was presented at the North American Summer Econometric Society Meetings at UCLA, June, 2002.     

Regulatory information,market expectations,and the determination of the allowed rate of return

The purpose of this paper is to explore the implicit structure of expectations involving allowed rate-of-return (ARR) determination and the role of regulatory information in related financial markets. Our approach utilizes two models, allowed rate-of-return determination and excess returns from announcement effects, to study the structure of expectations involved in public utility rate cases. Our results indicate that financial markets do not have complete information prior to the announcement of allowed rates of return and that the source of this informational imperfection may be incorrect expectations regarding the allowed rate of return.We would like to thank seminar participants at the Chinese University of Hong Kong and SUNY-Binghamton, as well as two anonymous referees, for helpful comments. All remaining errors are the responsibility of the authors.     

Model selection for nonlinear time series

We investigate the finite-sample performance of model selection criteria for local linear regression by simulation. Similarly to linear regression, the penalization term depends on the number of parameters of the model. In the context of nonparametric regression, we use a suitable quantity to account for the Equivalent Number of Parameters as previously suggested in the literature. We consider the following criteria: Rice T, FPE, AIC, Corrected AIC and GCV. To make results comparable with other data-driven selection criteria we consider also Leave-Out CV. We show that the properties of the penalization schemes are very different for some linear and nonlinear models. Finally, we set up a goodness-of-fit test for linearity based on bootstrap methods. The test has correct size and very high power against the alternatives investigated. Application of the methods proposed to macroeconomic and financial time series shows that there is evidence of nonlinearity.First version received: September 2002/Final version received : October 2003I would like to thank Cees Diks, Cars Hommes and an anonymous referee for useful comments that significantly improved the paper.     

Applications of a generalized metric in the analysis of iterated function systems

Summary. Iterated function systems make up an interesting class of stochastic processes which are useful for many types of stochastic modeling. In this paper we review and slightly generalize a contractivity condition guaranteeing uniqueness of invariant measures. Also, we examine how the invariant measure, and thus also the asymptotic behavior, of such a process is affected by perturbations of the defining functions and probabilities.Received: 15 September 2002, Revised: 29 October 2002, JEL Classification Numbers: C62, O41.I would like to thank Professor Göran Högnäs for his support. I am also greatly indebted to the Finnish Graduate School in Stochastics for my financial support and I would like to thank the anonymous referee for the helpful comments.     

Fiscal policy and private consumption behaviour: The Spanish case

In this article we analyse whether the Ricardian equivalence hypothesis is a valid approximation for Spains economic reality or whether there exist deviations from that situation which would be more in line with the conventional Keynesian perspective of the effects of debt on private consumption-savings decisions.Our aim is to contribute to the rather sparse empirical literature on the subject for the Spanish case. The analysis is based on annual aggregate data for Spain covering the years 1955 to 2000, and uses both the structural and the Euler equation approaches to test the neutrality proposition, and is thus to be considered as a generalization of foregoing work on the Spanish economy.The findings indicate that support for Ricardian equivalence is mixed, while we also find very little support for the Keynesian specification of consumption and fiscal policy.First revision received: March 2003 / Final version received: October 2003The authors wish to thank M. Ferré, J.M. González-Páramo, A. Marchante, P. Meguire, F. Pedraja, J.L. Raymond, J. Salinas and two anonymous referees for their helpful comments and suggestions on this paper. We also thank the participants in the V Encuentro de Economía Aplicada (Oviedo, Spain, June 2002) and the XVII Simposio de Análisis Económico (Salamanca, Spain, December 2002) for their comments. Any remaining defects are our responsibility. We also are grateful to the Institute for Fiscal Studies of Spain (Ministerio de Hacienda, Secretaría de Estado de Hacienda) for its financial support.     

Predicting the money multiplier in the Netherlands once more

The authors would like to thank Drs. L. H. Hoogduin, Prof. Dr. S. K. Kuipers, Dr. C. G. M. Sterks, Dr. W. Voorhoeve and the referee for their comments on an earlier version of this paper.     

Additive and Multiplicative Uncertainty Revisited: What Explains the Contrasting Biases?

above the certainty level while for additive uncertainty the price should be lower than the certainty level. This note gives an intuitive explanation for the result after first presenting a parsimonious review of the two models. We also discuss which, if either, of the two models is more realistic. Received December 14, 2001; revised version received July 16, 2002 Published online: April 30, 2003 We thank referees for helpful comments. Ciaran Driver would like to acknowledge the research facilities from ANU, Canberra for their help in writing this paper.     

Dynamic spatial modelling of regional convergence processes

Econometric analysis of convergence processes across countries or regions usually refers to a transition period between an arbitrary chosen starting year and a fictitious steady state. Panel unit root tests and panel cointegration techniques have proved to belong to powerful econometric tools if the conditions are met. When referring to economically defined regions, though, it is rather an exception than the rule that coherent time series are available. For this case we introduce a dynamic spatial modelling approach which is suitable to trace regional adjustment processes in space instead of time. It is shown how the spatial error-correction mechanism (SEC model) can be estimated depending on the spatial stationarity properties of the variables under investigation. The dynamic spatial modelling approach presented in this paper is applied to the issue of conditional income and productivity convergence across labour market regions in unified Germany.First version received: December 2002/Final version received: June 2003We would like to thank an anonymous referee for his helpful comments.