Analisis Data Time Series Dalam Model Makroekonomi
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Analisis Data Time Series Dalam Model Makroekonomi
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Author : Adhitya Wardhono
language : id
Publisher: Pustaka Abadi
Release Date : 2019-04-30
Analisis Data Time Series Dalam Model Makroekonomi written by Adhitya Wardhono and has been published by Pustaka Abadi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-30 with Business & Economics categories.
Ekonometrika merupakan ilmu yang memadukan teori ekonomi, matematika ekonomi dan statistik ekonomi. Hal ini menjadikan ekonometrika sebagai metode yang kuat (powerfull) dalam memecahkan masalah ekonomi. Ekonometrika disebut sebagai ilmu manajemen kesalahan dan menjembatani hubungan pasti dalam teori ekonomi dengan hubungan gangguan dalam dunia nyata. Buku “Analisis Data Time Series dalam Model Makroekonomi” membahas secara spesifisik berbagai permodelan dinamis dengan memanfaatkan data runtun waktu atau time series. Analisis data time series atau runtun waktu dalam ekonometrika modern menghasilkan inferensi yang memiliki kemampuan dalam memprediksi, interpretasi dan pengujian hipotesis dalam data ekonomi. Beberapa pembahasan dalam buku ini antara lain stasioneritas dan kointegrasi, model Autoregressive Distributed Lag (ARDL), model Autoregressive Integrated Moving Average (ARIMA), model Vector Autoregressive (VAR) dan model Structural Cointegrating Vector Autoregression (SCVAR).
Introduction To Modern Time Series Analysis
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Author : Gebhard Kirchgässner
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-10-09
Introduction To Modern Time Series Analysis written by Gebhard Kirchgässner and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-09 with Business & Economics categories.
This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of time series, which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series, Granger causality tests and vector autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit root and cointegration analysis as well as vector error correction models are a central topic. Tools for analysing nonstationary data are then transferred to the panel framework. Modelling the (multivariate) volatility of financial time series with autogressive conditional heteroskedastic models is also treated.
Analysis Of Economic Time Series
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Author : Marc Nerlove
language : en
Publisher: Academic Press
Release Date : 2014-05-10
Analysis Of Economic Time Series written by Marc Nerlove and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Business & Economics categories.
Analysis of Economic Time Series: A Synthesis integrates several topics in economic time-series analysis, including the formulation and estimation of distributed-lag models of dynamic economic behavior; the application of spectral analysis in the study of the behavior of economic time series; and unobserved-components models for economic time series and the closely related problem of seasonal adjustment. Comprised of 14 chapters, this volume begins with a historical background on the use of unobserved components in the analysis of economic time series, followed by an Introduction to the theory of stationary time series. Subsequent chapters focus on the spectral representation and its estimation; formulation of distributed-lag models; elements of the theory of prediction and extraction; and formulation of unobserved-components models and canonical forms. Seasonal adjustment techniques and multivariate mixed moving-average autoregressive time-series models are also considered. Finally, a time-series model of the U.S. cattle industry is presented. This monograph will be of value to mathematicians, economists, and those interested in economic theory, econometrics, and mathematical economics.
Time Series Econometrics
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Author : Klaus Neusser
language : en
Publisher: Springer
Release Date : 2016-06-14
Time Series Econometrics written by Klaus Neusser and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-06-14 with Business & Economics categories.
This text presents modern developments in time series analysis and focuses on their application to economic problems. The book first introduces the fundamental concept of a stationary time series and the basic properties of covariance, investigating the structure and estimation of autoregressive-moving average (ARMA) models and their relations to the covariance structure. The book then moves on to non-stationary time series, highlighting its consequences for modeling and forecasting and presenting standard statistical tests and regressions. Next, the text discusses volatility models and their applications in the analysis of financial market data, focusing on generalized autoregressive conditional heteroskedastic (GARCH) models. The second part of the text devoted to multivariate processes, such as vector autoregressive (VAR) models and structural vector autoregressive (SVAR) models, which have become the main tools in empirical macroeconomics. The text concludes with a discussion of co-integrated models and the Kalman Filter, which is being used with increasing frequency. Mathematically rigorous, yet application-oriented, this self-contained text will help students develop a deeper understanding of theory and better command of the models that are vital to the field. Assuming a basic knowledge of statistics and/or econometrics, this text is best suited for advanced undergraduate and beginning graduate students.
Time Series Analysis
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Author : Henrik Madsen
language : en
Publisher: CRC Press
Release Date : 2007-11-28
Time Series Analysis written by Henrik Madsen and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-28 with Mathematics categories.
With a focus on analyzing and modeling linear dynamic systems using statistical methods, Time Series Analysis formulates various linear models, discusses their theoretical characteristics, and explores the connections among stochastic dynamic models. Emphasizing the time domain description, the author presents theorems to highlight the most important results, proofs to clarify some results, and problems to illustrate the use of the results for modeling real-life phenomena. The book first provides the formulas and methods needed to adapt a second-order approach for characterizing random variables as well as introduces regression methods and models, including the general linear model. It subsequently covers linear dynamic deterministic systems, stochastic processes, time domain methods where the autocorrelation function is key to identification, spectral analysis, transfer-function models, and the multivariate linear process. The text also describes state space models and recursive and adaptivemethods. The final chapter examines a host of practical problems, including the predictions of wind power production and the consumption of medicine, a scheduling system for oil delivery, and the adaptive modeling of interest rates. Concentrating on the linear aspect of this subject, Time Series Analysis provides an accessible yet thorough introduction to the methods for modeling linear stochastic systems. It will help you understand the relationship between linear dynamic systems and linear stochastic processes.
Memahami Makroekonomi Melalui Data Dan Fakta
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Author : Nazamuddin
language : id
Publisher: Syiah Kuala University Press
Release Date : 2020-12-09
Memahami Makroekonomi Melalui Data Dan Fakta written by Nazamuddin and has been published by Syiah Kuala University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-09 with Business & Economics categories.
Ilmu ekonomi merupakan ilmu yang paling banyak diminati oleh orang-orang. Hal ini disebabkan bahwa ekonomi adalah titik puncak untuk mengubah kehidupan seseorang menjadi lebih sejahtera. Baik kesejahteraan negara maupun dalam kehidupan sehari-hari. Ilmu ekonomi sangat erat kaitannya dengan perilaku manusia untuk mencapai tingkat kepuasan. Untuk itu, munculnya buku ini akan sangat bermanfaat bagi masyarakat terutama pengamat ekonomi yang ingin membangun negara. Buku ini akan membahas secara spesifik tentang data makroekonomi, pendapatan nasional dan pengukuran standar hidup yang layak, serta perkembangan ekonomi saat ini. Didukung dengan data dan fakta kemudian teori-teori yang relevan. Buku ini mengajak pembaca bukan hanya sekedar paham makroekonomi saja namun lebih tentang ekonomi saat ini.
Modelling Trends And Cycles In Economic Time Series
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Author : Terence C. Mills
language : en
Publisher: Springer Nature
Release Date : 2021-07-29
Modelling Trends And Cycles In Economic Time Series written by Terence C. Mills and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-29 with Business & Economics categories.
Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to extract trends and cycles from time series. In this second edition, Terence Mills expands on the research in the area of trends and cycles over the last (almost) two decades, to highlight to students and researchers the variety of techniques and the considerations that underpin their choice for modelling trends and cycles.
Time Series And Panel Data Econometrics
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Author : M. Hashem Pesaran
language : en
Publisher: Oxford University Press, USA
Release Date : 2015
Time Series And Panel Data Econometrics written by M. Hashem Pesaran and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Business & Economics categories.
The book describes and illustrates many advances that have taken place in a number of areas in theoretical and applied econometrics over the past four decades.
Time Series Analysis And Forecasting By Example
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Author : Søren Bisgaard
language : en
Publisher: John Wiley & Sons
Release Date : 2011-08-24
Time Series Analysis And Forecasting By Example written by Søren Bisgaard and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-24 with Mathematics categories.
An intuition-based approach enables you to master time series analysis with ease Time Series Analysis and Forecasting by Example provides the fundamental techniques in time series analysis using various examples. By introducing necessary theory through examples that showcase the discussed topics, the authors successfully help readers develop an intuitive understanding of seemingly complicated time series models and their implications. The book presents methodologies for time series analysis in a simplified, example-based approach. Using graphics, the authors discuss each presented example in detail and explain the relevant theory while also focusing on the interpretation of results in data analysis. Following a discussion of why autocorrelation is often observed when data is collected in time, subsequent chapters explore related topics, including: Graphical tools in time series analysis Procedures for developing stationary, non-stationary, and seasonal models How to choose the best time series model Constant term and cancellation of terms in ARIMA models Forecasting using transfer function-noise models The final chapter is dedicated to key topics such as spurious relationships, autocorrelation in regression, and multiple time series. Throughout the book, real-world examples illustrate step-by-step procedures and instructions using statistical software packages such as SAS, JMP, Minitab, SCA, and R. A related Web site features PowerPoint slides to accompany each chapter as well as the book's data sets. With its extensive use of graphics and examples to explain key concepts, Time Series Analysis and Forecasting by Example is an excellent book for courses on time series analysis at the upper-undergraduate and graduate levels. it also serves as a valuable resource for practitioners and researchers who carry out data and time series analysis in the fields of engineering, business, and economics.
Forecasting Economic Time Series
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Author : C. W. J. Granger
language : en
Publisher: Academic Press
Release Date : 2014-05-10
Forecasting Economic Time Series written by C. W. J. Granger and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-10 with Business & Economics categories.
Economic Theory, Econometrics, and Mathematical Economics, Second Edition: Forecasting Economic Time Series presents the developments in time series analysis and forecasting theory and practice. This book discusses the application of time series procedures in mainstream economic theory and econometric model building. Organized into 10 chapters, this edition begins with an overview of the problem of dealing with time series possessing a deterministic seasonal component. This text then provides a description of time series in terms of models known as the time-domain approach. Other chapters consider an alternative approach, known as spectral or frequency-domain analysis, that often provides useful insights into the properties of a series. This book discusses as well a unified approach to the fitting of linear models to a given time series. The final chapter deals with the main advantage of having a Gaussian series wherein the optimal single series, least-squares forecast will be a linear forecast. This book is a valuable resource for economists.