Econometric Time Series Analysis: A quantitative focus on a developing economy - Couverture souple

Awe, Olushina Olawale

9783659212765: Econometric Time Series Analysis: A quantitative focus on a developing economy

Couverture souple

ISBN 10 : 3659212768 ISBN 13 : 9783659212765

Editeur : LAP Lambert Academic Publishing, 2012

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Time series econometrics has attracted substantial attention in recent years especially with the 2003 Nobel awards to Professors Clive Granger and Robert Granger. Macroeconomists and Statisticians have become increasingly concerned with the study of the sources of economic fluctuations. Accurate and timely information about what is likely to happen to the economy in the future has always been of great value to business decisions and economic policy makers. The goal of most empirical studies in econometrics and other quantitative sciences is to determine whether a change in one variable causes a change in, or helps to predict another variable. Thus, knowing how economic indicators are related (interrelated) is of great importance. Short and long term planning can be done on the basis of computationally sound statistical analysis of past data. Granger causality modelling approach is quite popular in experimental and non-experimental fields which involve some dynamic econometric time series methodologies.This educative,handy book employs Granger causality and Vector Autoregressive Modelling framework,etc in the empirical modelling of seven economic indicators in a developing economy.

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� propos de l?auteur

Olushina Olawale Awe(BSc,MSc,MBA)is a trained statistician and lecturer in the Department of Mathematics,Obafemi Awolowo University,Nigeria.His areas of research interests are Financial Econometrics,Multivariate Time Series Analysis and Statistical Consulting.He has several research articles in local and international journals to his credit.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

�diteur: LAP Lambert Academic Publishing
Date d'�dition: 2012
Langue: anglais
ISBN 10: 3659212768
ISBN 13: 9783659212765
Reliure: Broch�
Nombre de pages: 72
Coordonn�es du fabricant: non disponible
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Econometric Time Series Analysis

Olushina Olawale Awe

Edit� par LAP LAMBERT Academic Publishing Aug 2012, 2012

ISBN 10 : 3659212768 ISBN 13 : 9783659212765

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Time series econometrics has attracted substantial attention in recent years especially with the 2003 Nobel awards to Professors Clive Granger and Robert Granger. Macroeconomists and Statisticians have become increasingly concerned with the study of the sources of economic fluctuations. Accurate and timely information about what is likely to happen to the economy in the future has always been of great value to business decisions and economic policy makers. The goal of most empirical studies in econometrics and other quantitative sciences is to determine whether a change in one variable causes a change in, or helps to predict another variable. Thus, knowing how economic indicators are related (interrelated) is of great importance. Short and long term planning can be done on the basis of computationally sound statistical analysis of past data. Granger causality modelling approach is quite popular in experimental and non-experimental fields which involve some dynamic econometric time series methodologies.This educative,handy book employs Granger causality and Vector Autoregressive Modelling framework,etc in the empirical modelling of seven economic indicators in a developing economy. 72 pp. Englisch. N� de r�f. du vendeur 9783659212765

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Econometric Time Series Analysis

Olushina Olawale Awe

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 3659212768 ISBN 13 : 9783659212765

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Awe Olushina OlawaleOlushina Olawale Awe(BSc,MSc,MBA)is a trained statistician and lecturer in the Department of Mathematics,Obafemi Awolowo University,Nigeria.His areas of research interests are Financial Econometrics,Multivariate T. N� de r�f. du vendeur 5140124

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Econometric Time Series Analysis

Olushina Olawale Awe

Edit� par LAP LAMBERT Academic Publishing Aug 2012, 2012

ISBN 10 : 3659212768 ISBN 13 : 9783659212765

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Time series econometrics has attracted substantial attention in recent years especially with the 2003 Nobel awards to Professors Clive Granger and Robert Granger. Macroeconomists and Statisticians have become increasingly concerned with the study of the sources of economic fluctuations. Accurate and timely information about what is likely to happen to the economy in the future has always been of great value to business decisions and economic policy makers. The goal of most empirical studies in econometrics and other quantitative sciences is to determine whether a change in one variable causes a change in, or helps to predict another variable. Thus, knowing how economic indicators are related (interrelated) is of great importance. Short and long term planning can be done on the basis of computationally sound statistical analysis of past data. Granger causality modelling approach is quite popular in experimental and non-experimental fields which involve some dynamic econometric time series methodologies.This educative,handy book employs Granger causality and Vector Autoregressive Modelling framework,etc in the empirical modelling of seven economic indicators in a developing economy.VDM Verlag, Dudweiler Landstra�e 99, 66123 Saarbr�cken 72 pp. Englisch. N� de r�f. du vendeur 9783659212765

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Econometric Time Series Analysis : A quantitative focus on a developing economy

Olushina Olawale Awe

Edit� par LAP LAMBERT Academic Publishing, 2012

ISBN 10 : 3659212768 ISBN 13 : 9783659212765

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Time series econometrics has attracted substantial attention in recent years especially with the 2003 Nobel awards to Professors Clive Granger and Robert Granger. Macroeconomists and Statisticians have become increasingly concerned with the study of the sources of economic fluctuations. Accurate and timely information about what is likely to happen to the economy in the future has always been of great value to business decisions and economic policy makers. The goal of most empirical studies in econometrics and other quantitative sciences is to determine whether a change in one variable causes a change in, or helps to predict another variable. Thus, knowing how economic indicators are related (interrelated) is of great importance. Short and long term planning can be done on the basis of computationally sound statistical analysis of past data. Granger causality modelling approach is quite popular in experimental and non-experimental fields which involve some dynamic econometric time series methodologies.This educative,handy book employs Granger causality and Vector Autoregressive Modelling framework,etc in the empirical modelling of seven economic indicators in a developing economy. N� de r�f. du vendeur 9783659212765

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