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

﻿LEAVING aside the courageous efforts of people around Monthly Review and Science and Society there has, by and large, been hardly any Marxist tradition among American intellectuals. However, during the last few years the situation has considerably changed and there is now a growing interest in Marxism, particularly among the younger social scientists of America. The book under review falls within this trend.

Value and Capital

Asset returns and inflation

Hedonic Pricing Models: A Selective and Applied Review

Defining Housing Submarkets

Part 1: Introduction. Prologue 1. Introduction Part 2: The Micro Economics of Property Markets 2. The Consumption of Commercial Property 3. The Location of Commercial Property 4. The Production of Commercial Property 5. Rent in the Commercial Property Market Part 3: The Macroeconomics of Commercial Property 6. Property Macroeconomics 7. Short Cycles in Property Markets 8. Short Term Property Forecasting 9. Property Investment and Economic Growth Part 4: The Financial Economics of Property 10. Property Assets and Investment Vehicles 11. Valuation, Pricing and Performance Measurement 12. Indirect Investment, Finance and Funding of Property 13. International Property Markets Part 5: Conclusions 14. Conclusions

The Economics of Commercial Property Markets

This paper reviews the literature on price determination in the private and public real estate markets. In particular, it discusses the processes of appraisal smoothing in the private market and of price discovery between the public and the private markets. In real estate markets, the absence of good quality information on price, whether because of lack of trades or confidentiality, has led to the widespread use of appraisals for market tracking and as the basis for performance measurement. Appraisers have to make an optimum assessment of value, based on fundamental variables and market information, including transactions and a market-wide appraisal index. However, transaction prices are a noisy signal and it is the appraiser's role to extract the signal from the noise in an efficient manner. This involves a process of optimal combination of past and current information and leads to appraisal smoothing. Price discovery is the process by which the opinions of market participants about the value of an asset...

Appraisal smoothing and price discovery in real estate markets

Property Investment: Principles and Practice of Portfolio Management

Historic analysis of the inflation hedging properties of stocks has produced anomalous results, with stocks often appearing to offer a perverse hedge. This has been attributed to the impact of real and monetary shocks to the economy, which influence both inflation and asset returns. It has been argued that real estate should provide a better hedge: however, empirical results have been mixed. This paper explores the relationship between commercial real estate returns and economic, fiscal and monetary factors and inflation for US and UK markets. Comparative analysis of general equity and small capitalization stock returns is carried out with inflation divided into expected and unexpected components. The analyses are undertaken using an error correction approach. In the long run, once real and monetary variables are included, asset returns are positively linked to anticipated inflation but not to inflation shocks. Adjustment processes are, however, gradual and not within period. Real estate returns, particularly private market returns, exhibit characteristics that differ from those of stocks.

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Bryan D. Macgregor

Papers

Defining Housing Submarkets

The Economics of Commercial Property Markets

Appraisal smoothing and price discovery in real estate markets

Property Investment: Principles and Practice of Portfolio Management

The inflation hedging characteristics of US and UK investments: A multi-factor error correction approach