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E-BooksEconometrics by Example



Econometrics by Example
Damodar Gujarati, "Econometrics by Example"
English | 2014 | pages: 497 | ISBN: 1137375019 | PDF | 3,8 mb
The second edition of this bestselling textbook retains its unique learning-by-doing approach to econometrics. Rather than relying on complex theoretical discussions and complicated mathematics, this book explains econometrics from a practical point of view by walking the student through real-life examples, step by step. Damodar Gujarati's clear, concise, writing style guides students from model formulation, to estimation and hypothesis-testing, through to post-estimation diagnostics. The basic statistics needed to follow the book are covered in an appendix, making the book a flexible and self-contained learning resource.



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E-BooksDealing with Econometrics Real World Cases with Cross-Sectional Data



Dealing with Econometrics Real World Cases with Cross-Sectional Data
Dealing with Econometrics: Real World Cases with Cross-Sectional Data
by Jordi Ripolls, Author;Inmaculada Martnez-Zarzoso, Author;Maite Alguacil, Author;

English | 2022 | ISBN: 152758500X | 210 pages | True PDF | 6.53 MB
The book covers the basic statistical tools needed to analyse cross-sectional data in order to identify, quantify and evaluate possible socio-economic relationships. It contains both theoretical summaries and practical examples and exercises, some of which are solved using Excel or the Gretl software package. The exercises are mostly based on real-world data from Europe and Spain. The book also discusses basic methods, principles and practices of cross-sectional econometrics, considering simple and multiple regression analysis, statistical inference, the use of qualitative information in regression analysis and discrete choice models. In essence, it is a practical guide to the fundamentals of econometrics commonly taught in undergraduate courses in Business Administration, Finance and Accounting, and Economics in Europe.



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E-BooksTheory and Econometrics of Financial Asset Pricing



Theory and Econometrics of Financial Asset Pricing
English | 2022 | ISBN: 3110673851 | 402 pages | True PDF EPUB | 48.07 MB
This book will provide a firm foundation in the understanding of financial economics applied to asset pricing. It carries the real world perspective of how the market works, including behavioral biases, and also wraps that understanding in the context of a rigorous economics framework of investors' risk preferences, underlying price dynamics, rational choice in the large, and market equilibrium other than inexplicable irrational bubbles. It concentrates on analyses of stock, credit, and option pricing. Existing highly cited finance models in pricing of these assets are covered in detail, and theory is accompanied by rigorous applications of econometrics. Econometrics contain elucidations of both the statistical theory as well as the practice of data analyses. Linear regression methods and some nonlinear methods are also covered.



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E-BooksMathWorks Econometrics Toolbox User's Guide R2022b




MathWorks  Econometrics Toolbox User's Guide R2022b

MathWorks Econometrics Toolbox User's Guide R2022b | 27.3 MB
N/A | 4164 Pages

Title: Econometrics Toolbox User's Guide
Author: The MathWorks, Inc.
Year: N/A




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E-BooksEconometrics



Econometrics
Bruce Hansen, "Econometrics"
English | ISBN: 0691235899 | 2022 | 1080 pages | PDF | 5 MB



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E-BooksEssays in Econometrics Collected Papers of Clive W. J. Granger (Econometric Society Monographs, Series Number 32)



Essays in Econometrics Collected Papers of Clive W. J. Granger (Econometric Society Monographs, Series Number 32)
Clive W. J. Granger, "Essays in Econometrics: Collected Papers of Clive W. J. Granger (Econometric Society Monographs, Series Number 32) "
English | ISBN: 0521772974 | 2001 | 544 pages | PDF | 3 MB
This book, and its companion volume, present a collection of papers by Clive W.J. Granger. His contributions to economics and econometrics, many of them seminal, span more than four decades and touch on all aspects of time series analysis. The papers assembled in this volume explore topics in spectral analysis, seasonality, nonlinearity, methodology, and forecasting. Those in the companion volume investigate themes in causality, integration and cointegration, and long memory. The two volumes contain the original articles as well as an introduction written by the editors.



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E-BooksDeveloping Econometrics



Developing Econometrics
Developing Econometrics By Hengqing Tong, T. Krishna Kumar, Yangxin Huang(auth.)
2011 | 479 Pages | ISBN: 0470681772 | PDF | 14 MB
Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation. Provides a detailed description of computer algorithms. Provides recently developed computational tools useful for data mining Highlights recent advances in statistical theory and methods that benefit econometric practice. Features examples with real life data. Accompanying software featuring DASC (Data Analysis and Statistical Computing). Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate students and researchers in economics and statistics.Content: Chapter 1 Introduction (pages 1-28): Chapter 2 Independent Variables in Linear Regression Models (pages 29-81): Chapter 3 Alternative Structures of Residual Error in Linear Regression Models (pages 83-127): Chapter 4 Discrete Variables and Nonlinear Regression Model (pages 129-192): Chapter 5 Nonparametric and Semiparametric Regression Models (pages 193-214): Chapter 6 Simultaneous Equations Models and Distributed Lag Models (pages 215-251): Chapter 7 Stationary Time Series Models (pages 253-295): Chapter 8 Multivariate and Nonstationary Time Series Models (pages 297-355): Chapter 9 Multivariate Statistical Analysis and Data Analysis (pages 357-414): Chapter 10 Summary and Further Discussion (pages 415-460):



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E-BooksFinancial Econometrics Bayesian Analysis, Quantum Uncertainty, and Related Topics



Financial Econometrics Bayesian Analysis, Quantum Uncertainty, and Related Topics
Financial Econometrics: Bayesian Analysis, Quantum Uncertainty, and Related Topics by Nguyen Ngoc Thach
English | EPUB | 2022 | 865 Pages | ISBN : 3030986888 | 61.4 MB
This book overviews latest ideas and developments in financial econometrics, with an emphasis on how to best use prior knowledge (e.g., Bayesian way) and how to best use successful data processing techniques from other application areas (e.g., from quantum physics).



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E-BooksFarnsworth Grant V Econometrics In R




Farnsworth Grant V Econometrics In R

Farnsworth Grant V Econometrics In R | 460.19 KB
N/A | 50 Pages

Title: Turmeric Curcumin with BioPerine 1500mg - Natural Joint & Healthy Inflammatory Support with 95% Standardized Curcuminoids for Potency & Absorption - Non-GMO, Gluten Free Capsules with Black Pepper.
Author: N/A
Year: 2016




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E-BooksEconometrics, 6th Edition





Econometrics, 6th Edition
Econometrics, 6th Edition by Badi H. Baltagi
English | PDF,EPUB | 2022 | 495 Pages | ISBN : 3030801489 | 46.2 MB
This textbook teaches some of the basic econometric methods and the underlying assumptions behind them. It also includes a simple and concise treatment of more advanced topics in spatial correlation, panel data, limited dependent variables, regression diagnostics, specification testing and time series analysis. Each chapter has a set of theoretical exercises as well as empirical illustrations using real economic applications. These empirical exercises usually replicate a published article using Stata, Eviews as well as SAS.



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