1. Introduction and Overview. 2. Detecting Influential Observations and Outliers. 3. Detecting and Assessing Collinearity. 4. Applications and Remedies. 5. Research Issues and Directions for Extensions. Bibliography. Author Index. Subject Index.

Regression Diagnostics: Identifying Influential Data and Sources of Collinearity

Offering a unifying theoretical perspective not readily available in any other text, this innovative guide to econometrics uses simple geometrical arguments to develop students' intuitive understanding of basic and advanced topics, emphasizing throughout the practical applications of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference, and specification testing of nonlinear models, including diagnostic tests for parameter constancy, serial correlation, heteroscedasticity, and other types of mis-specification. Explaining how estimates can be obtained and tests can be carried out, the authors go beyond a mere algebraic description to one that can be easily translated into the commands of a standard econometric software package. Covering an unprecedented range of problems with a consistent emphasis on those that arise in applied work, this accessible and coherent guide to the most vital topics in econometrics today is indispensable for advanced students of econometrics and students of statistics interested in regression and related topics. It will also suit practising econometricians who want to update their skills. Flexibly designed to accommodate a variety of course levels, it offers both complete coverage of the basic material and separate chapters on areas of specialized interest.

Estimation and Inference in Econometrics

In this book, Andrew Harvey sets out to provide a unified and comprehensive theory of structural time series models. Unlike the traditional ARIMA models, structural time series models consist explicitly of unobserved components, such as trends and seasonals, which have a direct interpretation. As a result the model selection methodology associated with structural models is much closer to econometric methodology. The link with econometrics is made even closer by the natural way in which the models can be extended to include explanatory variables and to cope with multivariate time series. From the technical point of view, state space models and the Kalman filter play a key role in the statistical treatment of structural time series models. The book includes a detailed treatment of the Kalman filter. This technique was originally developed in control engineering, but is becoming increasingly important in fields such as economics and operations research. This book is concerned primarily with modelling economic and social time series, and with addressing the special problems which the treatment of such series poses. The properties of the models and the methodological techniques used to select them are illustrated with various applications. These range from the modellling of trends and cycles in US macroeconomic time series to to an evaluation of the effects of seat belt legislation in the UK.

Forecasting, Structural Time Series Models and the Kalman Filter

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The Theory of Industrial Organization

Economics and Information Theory

This article examines competitive conditions and market structure in the banking industry, and investigates their interrelationship. Competition is measured using the Panzar–Rosse model. In order to distinguish competitive behaviour on local, national and international markets, for each country, three subsamples are taken: small or local banks, medium-sized banks and large or international banks. For all 23 countries considered, estimations indicate monopolistic competition, competition being weaker in local markets and stronger in international markets. Subsequently, a relationship for the impact of the market structure on competition is derived and tested empirically, providing support for the conventional view that concentration impairs competitiveness.

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Competition, concentration and their relationship: An empirical analysis of the banking industry

Bank provisioning behaviour and procyclicality

The proposed risk sensitive minimum requirements of the new Basel capital accord have raised concerns about possible (acceleration of) procyclical behaviour of banking, which might threaten macroeconomic stability. This article analyses the interaction between business cycles and banks over the past two decades for 26 industrial countries. As expected, profits appear to move up and down with the business cycle, allowing for accumulation of capital in boom periods. Provisioning for credit losses rise when the cycle falls, but less so when net income of banks is relatively high, which reduces procyclicality. Lending fluctuates with the business cycle too, but appears to be driven by demand rather than by supply factors such as (shortage of) capital, which contradicts the assumptions underlying capital crunch theory. All in all, over the last decades, distortion caused by procyclical behaviour of banks has been limited, banking crises excepted. JEL Codes: G21, G28, E32

Cyclical patterns in profits, provisioning and lending of banks and procyclicality of the new Basel capital requirements

Measures of concentration and competition are of vital importance for welfare-related public policy toward market structure and conduct in the banking industry. Theoretical characteristics of market concentration measures are discussed and illustrated with numerical examples. Various structural and non-structural measures of competition are presented and their applications have been discussed. In structural approaches, the market structure is described by concentration ratios, based on the oligopoly theory or the structure-conduct-performance paradigm.

Measures of competition and concentration in the banking industry: a review of the literature 1

The Panzar-Rosse test has been widely applied to assess competitive conduct, often in specifications controlling for firm scale or using a price equation. We show that neither a price equation nor a scaled revenue function yields a valid measure for competitive conduct. Moreover, even an unscaled revenue function generally requires additional information about costs and market equilibrium to infer the degree of competition. Our theoretical findings are confirmed by an empirical analysis of competition in banking, using a sample containing more than 100,000 bank-year observations on more than 17,000 banks in 63 countries during the years 1994 – 2004.

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Jacob A. Bikker

Papers

Competition, concentration and their relationship: An empirical analysis of the banking industry

Bank provisioning behaviour and procyclicality

Cyclical patterns in profits, provisioning and lending of banks and procyclicality of the new Basel capital requirements

Measures of competition and concentration in the banking industry: a review of the literature 1

Assessing competition with the Panzar-Rosse model : the role of scale, costs, and equilibrium