Dynamic Econometrics Models with SAS, Stata, and EViews

Dynamic Econometrics Models with SAS, Stata, and EViews

Author: Cesar Perez Lopez

Publisher: Apress

Published: 2015-03-04

Total Pages: 180

ISBN-13: 9781484202876

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Dynamic Econometrics Models with SAS, Stata, and EViews covers a wide array of dynamic econometrics models, including models with distributed delays, models with stochastic regressors, models with structural change, and dynamic panel data models. You'll discover core information and solutions around the theory of unit roots, co-integration, and error correction models. This book offers a practical, hands-on treatment of these models from multiple perspectives, so you'll find examples and solutions using SAS, Stat and EViews - the major solutions on the market to solve these non-trivial econometric tasks. You'll begin by learning about dynamic models such as those with delays in exogenous variables, and those with delays in the endogenous variable, and each of these simultaneously. Special types of dynamic econometric models are also explored, including finite distributed delays, and infinite distributed delays. In particular, you'll work with EViews to explore these initial dynamic econometric models. Then stable econometric models are considered and those with structural change, including time constant parameters, and you'll examine the Chow prediction test, recursive models, and CUSUM and CUSUMQ tests. Once you've explored stable models, you'll learn more about unstable models, including spurious regressions, stationary time series, seasonality detection, and unit roots test, including the Dickey-Fuller Unit Roots Tests, and the Phillips-Perron Unit Roots Test. Error correction models (ECM), Unit roots and co-integration in seasonal series are explored with both EViews and Stata, following practical examples and exercises. In the final section of this book, panel data models are considered, with constant coeffecients, and fixed effects. Dynamic panel data models, Logit and Probit panel data models are also examined using EViews and SAS. You will also see EViews in action with panel data and the Arellano and Bond methodology. What you’ll learn An introduction to Dynamic Econometric Models Special types of Dynamic Models Using EViews and specific dynamic models EViews and dynamic models with stochastic regressors Using SAS and dynamic econometric models Stable econometric models, including time constant parameters Using the Chow Prediction test with SAS, Stat and EViews Recursive models, and the CUSUM and CUSUMQ tests Unstable models and spurious regressions Unit roots tests, including Dickey-Fuller and Phillips-Perron Error Correction Models Stationary and Seasonal models with EViews Unit roots with Stata Panel data models and dynamic panels Logit and Probit panel data models Who this book is for For those who use SAS, Stata or EViews, this is a handy reference. For quants, researchers, economists, business consulting, risk managers these are tools that should be known to you which is the purpose of this book.


Econometrics

Econometrics

Author: Badi Hani Baltagi

Publisher: Springer Science & Business Media

Published: 2002

Total Pages: 426

ISBN-13: 9783540435013

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As well as specification testing, Gauss-Newton regressions and regression diagnostics. In addition, the book features a set of empirical illustrations that demonstrate some of the basic results. The empirical exercises are solved using several econometric software packages.


Econometrics in Theory and Practice

Econometrics in Theory and Practice

Author: Panchanan Das

Publisher: Springer Nature

Published: 2019-09-05

Total Pages: 574

ISBN-13: 9813290196

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This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.


Econometric Analysis of Panel Data

Econometric Analysis of Panel Data

Author: Badi Baltagi

Publisher: John Wiley & Sons

Published: 2008-06-30

Total Pages: 239

ISBN-13: 0470518863

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Written by one of the world's leading researchers and writers in the field, Econometric Analysis of Panel Data has become established as the leading textbook for postgraduate courses in panel data. This new edition reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. Featuring the most recent empirical examples from panel data literature, data sets are also provided as well as the programs to implement the estimation and testing procedures described in the book. These programs will be made available via an accompanying website which will also contain solutions to end of chapter exercises that will appear in the book. The text has been fully updated with new material on dynamic panel data models and recent results on non-linear panel models and in particular work on limited dependent variables panel data models.


Solutions Manual for Econometrics

Solutions Manual for Econometrics

Author: Badi H. Baltagi

Publisher: Springer

Published: 2014-09-01

Total Pages: 410

ISBN-13: 3642545483

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This Third Edition updates the "Solutions Manual for Econometrics" to match the Fifth Edition of the Econometrics textbook. It adds problems and solutions using latest software versions of Stata and EViews. Special features include empirical examples using EViews and Stata. The book offers rigorous proofs and treatment of difficult econometrics concepts in a simple and clear way, and it provides the reader with both applied and theoretical econometrics problems along with their solutions.


Time Series Analysis

Time Series Analysis

Author: Jonathan D. Cryer

Publisher: Springer Science & Business Media

Published: 2008-04-04

Total Pages: 501

ISBN-13: 0387759581

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This book presents an accessible approach to understanding time series models and their applications. The ideas and methods are illustrated with both real and simulated data sets. A unique feature of this edition is its integration with the R computing environment.


The Econometrics of Panel Data

The Econometrics of Panel Data

Author: Lászlo Mátyás

Publisher: Springer Science & Business Media

Published: 2008-04-06

Total Pages: 966

ISBN-13: 3540758925

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This restructured, updated Third Edition provides a general overview of the econometrics of panel data, from both theoretical and applied viewpoints. Readers discover how econometric tools are used to study organizational and household behaviors as well as other macroeconomic phenomena such as economic growth. The book contains sixteen entirely new chapters; all other chapters have been revised to account for recent developments. With contributions from well known specialists in the field, this handbook is a standard reference for all those involved in the use of panel data in econometrics.


Credit Risk Analytics

Credit Risk Analytics

Author: Bart Baesens

Publisher: John Wiley & Sons

Published: 2016-10-03

Total Pages: 517

ISBN-13: 1119143985

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The long-awaited, comprehensive guide to practical credit risk modeling Credit Risk Analytics provides a targeted training guide for risk managers looking to efficiently build or validate in-house models for credit risk management. Combining theory with practice, this book walks you through the fundamentals of credit risk management and shows you how to implement these concepts using the SAS credit risk management program, with helpful code provided. Coverage includes data analysis and preprocessing, credit scoring; PD and LGD estimation and forecasting, low default portfolios, correlation modeling and estimation, validation, implementation of prudential regulation, stress testing of existing modeling concepts, and more, to provide a one-stop tutorial and reference for credit risk analytics. The companion website offers examples of both real and simulated credit portfolio data to help you more easily implement the concepts discussed, and the expert author team provides practical insight on this real-world intersection of finance, statistics, and analytics. SAS is the preferred software for credit risk modeling due to its functionality and ability to process large amounts of data. This book shows you how to exploit the capabilities of this high-powered package to create clean, accurate credit risk management models. Understand the general concepts of credit risk management Validate and stress-test existing models Access working examples based on both real and simulated data Learn useful code for implementing and validating models in SAS Despite the high demand for in-house models, there is little comprehensive training available; practitioners are left to comb through piece-meal resources, executive training courses, and consultancies to cobble together the information they need. This book ends the search by providing a comprehensive, focused resource backed by expert guidance. Credit Risk Analytics is the reference every risk manager needs to streamline the modeling process.


R for Stata Users

R for Stata Users

Author: Robert A. Muenchen

Publisher: Springer Science & Business Media

Published: 2010-04-26

Total Pages: 549

ISBN-13: 1441913181

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Stata is the most flexible and extensible data analysis package available from a commercial vendor. R is a similarly flexible free and open source package for data analysis, with over 3,000 add-on packages available. This book shows you how to extend the power of Stata through the use of R. It introduces R using Stata terminology with which you are already familiar. It steps through more than 30 programs written in both languages, comparing and contrasting the two packages' different approaches. When finished, you will be able to use R in conjunction with Stata, or separately, to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. A glossary defines over 50 R terms using Stata jargon and again using more formal R terminology. The table of contents and index allow you to find equivalent R functions by looking up Stata commands and vice versa. The example programs and practice datasets for both R and Stata are available for download.