Introduction to Modern Time Series Analysis

Econometrics has been developing rapidly over the past four decades. This is not only true for microeconometrics which more or less originated during this period, but also for time series econometrics where the cointegration revolution influenced applied work in a substantial manner. Economists...

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Những tác giả chính: Kirchgassner, G., Wolters, J.
Định dạng: Sách
Ngôn ngữ:English
Được phát hành: Springer 2012
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Truy cập trực tuyến:http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30576
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spelling oai:scholar.dlu.edu.vn:DLU123456789-305762012-04-30T22:37:20Z Introduction to Modern Time Series Analysis Kirchgassner, G. Wolters, J. Econometrics Econometrics has been developing rapidly over the past four decades. This is not only true for microeconometrics which more or less originated during this period, but also for time series econometrics where the cointegration revolution influenced applied work in a substantial manner. Economists have been using time series for a very long time. Since the 1930s when econometrics became an own subject, researchers have mainly worked with time series. However, economists as well as econometricians did not really care about the statistical properties of time series. This attitude started to change in 1970 with the publication of the textbook Time Series Analysis, Forecasting and Control by GEORGE E.P. BOX and GWILYM M. JENKINS. The main impact, however, stems from the work of CLIVE W.J. GRANGER starting in the 1960s. In 2003 together with ROBERT W. ENGLE, he received the Nobel Prize in Economics for his work. 2012-04-27T08:03:14Z 2012-04-27T08:03:14Z 2007 Book 354073290X http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30576 en application/pdf Springer
institution Thư viện Trường Đại học Đà Lạt
collection Thư viện số
language English
topic Econometrics
spellingShingle Econometrics
Kirchgassner, G.
Wolters, J.
Introduction to Modern Time Series Analysis
description Econometrics has been developing rapidly over the past four decades. This is not only true for microeconometrics which more or less originated during this period, but also for time series econometrics where the cointegration revolution influenced applied work in a substantial manner. Economists have been using time series for a very long time. Since the 1930s when econometrics became an own subject, researchers have mainly worked with time series. However, economists as well as econometricians did not really care about the statistical properties of time series. This attitude started to change in 1970 with the publication of the textbook Time Series Analysis, Forecasting and Control by GEORGE E.P. BOX and GWILYM M. JENKINS. The main impact, however, stems from the work of CLIVE W.J. GRANGER starting in the 1960s. In 2003 together with ROBERT W. ENGLE, he received the Nobel Prize in Economics for his work.
format Book
author Kirchgassner, G.
Wolters, J.
author_facet Kirchgassner, G.
Wolters, J.
author_sort Kirchgassner, G.
title Introduction to Modern Time Series Analysis
title_short Introduction to Modern Time Series Analysis
title_full Introduction to Modern Time Series Analysis
title_fullStr Introduction to Modern Time Series Analysis
title_full_unstemmed Introduction to Modern Time Series Analysis
title_sort introduction to modern time series analysis
publisher Springer
publishDate 2012
url http://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/30576
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