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

﻿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

Some Theoretical Problems Suggested by the Movements of Interest Rates, Bond Yields and Stock Prices in the United States Since 1856.

How and where is artificial intelligence in the public sector going? A literature review and research agenda

This paper investigates the dynamic causal linkages amongst nine major international stock price indexes. In order to gauge the causal transmission patterns we employ very recent methods of: (i) vector error-correction modeling and (ii) level VAR modeling with possibly integrated and cointegrated processes, advocated by: (i) Toda and Phillips (Econometrica, 61 (1993) 1367) and (ii) Toda and Yamamoto (J. Econometrics, 66 (1995) 225), respectively. The paper illustrates how such methods may be appropriately augmented in a compatible fashion to unearth previously unfounded linkage properties inherent amongst a system of stock price indexes. In particular, we demonstrate that previous research, by using ordinary difference VARs, ignored an important component of linkages displayed purely over the long run. This untapped evidence essentially provides robust and very useful information to international financial analysts and investors. At a substantive level, results of this study tend to support the contention offered by several studies in the literature of significant interdependencies between the established OECD and the Asian markets, and also the leadership of the US and UK markets over the short and long run. The levels VAR, however, illustrate the Japanese market's influence as an additional long run leader. Findings seem to be plausible given that these three markets (US, UK and Japan) have consistently contributed over 75% of global stock market capitalization over the major part of the sample under consideration. At a methodological level, this analysis also provides a primer for the wealth of applied financial econometric research focusing on dynamic causal inference which involve systems containing possibly integrated and cointegrated processes.

Long and short term dynamic causal transmission amongst international stock markets

This study tests for a break in the persistence of EMU government bond yield spreads examining data from France, Italy and Spain and using German interest rates as a kind of benchmark. The results reported here provide evidence for breaks between 2006 and 2008. The persistence of the yield spreads against German government bonds has increased signicantly after this period. This could be a sign of higher sovereign credit risk (and possibly even redenomination risk) caused by the debt crisis in the euro area. We nd long-memory behavior before and after the breakpoints and empirical evidence for positive excess kurtosis and GARCH-eects when persistence

/pdf/testing-for-a-break-in-the-persistence-in-yield-spreads-of-4whjs1yppu.pdf

Testing for a break in the persistence in yield spreads of EMU government bonds

Purpose – The purpose of this paper is to analyse the dividend policy of firms from a macroeconomic perspective. In order to do so inflation and real growth are also considered.Design/methodology/approach – The paper examines the relationship between dividends, corporate earnings, real growth and inflation in the USA by applying cointegration techniques. In this framework, impulse response analysis is used to test the two most popular theories of dividend determination.Findings – The data indicate three cointegration relations among the four‐time series. Impulse response analysis then shows some interesting dynamics. Dividend smoothing seems to be a relevant phenomenon. Furthermore, inflation has a positive effect on dividends.Research limitations/implications – The most important finding of this paper is the indication of a positive relationship between inflation and dividend payments. This can be interpreted in two different ways: managers may try to follow a dividend policy, which is perceived to be op...

Inflation and the dividend policy of US firms

Searching for the EMU core member countries

This study tests for a break in the persistence of EMU government bond yield spreads examining data from France, Italy and Spain and using German interest rates as a kind of benchmark. The results reported here provide evidence for breaks between 2006 and 2008. The persistence of the yield spreads against German government bonds has increased signi cantly after this period. This could be a sign of higher sovereign credit risk (and possibly even redenomination risk) caused by the debt crisis in the euro area. We nd long-memory behavior before and after the breakpoints and empirical evidence for positive excess kurtosis and GARCH-e ects when persistence increases.

Testing for a Break in the Persistence in Yield Spreads of EMU Government Bonds

This paper discusses techniques that might be helpful in predicting interest rates and tries to evaluate a new hybrid forecasting approach. Results of examining government bond yields in Germany and France reported in this study indicate that a hybrid forecasting approach which combines techniques of cointegration analysis with neural network (NN) forecasting models can produce superior results to the use of NN forecasting models alone. The findings documented in this paper could be a consequence of the fact that examining differenced data under certain conditions will lead to a loss of information and that the inclusion of the error correction term from the cointegration model can help to cope with this problem. The paper also discusses some possibly interesting directions for further research. Copyright © 2015 John Wiley & Sons, Ltd.

Forecasting Government Bond Yields with Neural Networks Considering Cointegration

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