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Bayesian Econometric Methods (Econometric Exercises, Series Number 7) 2nd Edition
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Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoretical and applied questions and providing detailed solutions to those questions.
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- Bayesian Econometric Methods examines principles of Bayesian inference by posing a series of theoretical and applied questions and providing detailed solutions to those questions. This second edition adds extensive coverage of models popular in finance and macroeconomics, including state space and unobserved components models, stochastic volatility models, ARCH, GARCH, and vector autoregressive models. The authors have also added many new exercises related to Gibbs sampling and Markov Chain Monte Carlo (MCMC) methods. The text includes regression-based and hierarchical specifications, models based upon latent variable representations, and mixture and time series specifications. MCMC methods are discussed and illustrated in detail - from introductory applications to those at the current research frontier - and MATLAB® computer programs are provided on the website accompanying the text. Suitable for graduate study in economics, the text should also be of interest to students studying statistics, finance, marketing, and agricultural economics.
| Publisher | Cambridge University Press |
| Publication date | September 26, 2019 |
| Edition | 2nd |
| Language | English |
| Print length | 486 pages |
| ISBN-10 | 1108437494 |
| ISBN-13 | 978-1108437493 |
| Item Weight | 2.18 pounds (990 grams) |
| Dimensions | 7.44 x 1.11 x 9.69 inches (18.9 x 2.8 x 24.6 cm) |
| Book 3 of 3 | Econometric Exercises |
Who Should Buy?
-
Graduate Students
Ideal for graduate students seeking a comprehensive resource on Bayesian econometrics for academic research and projects.
-
Data Analysts
Beneficial for data analysts who need a practical guide to applying Bayesian methods in real-world data analysis scenarios.
-
Econometrics Instructors
Useful for instructors looking for teaching materials that provide clear examples and exercises in Bayesian econometric methods.
-
Beginners
Not suited for beginners lacking foundational knowledge in econometrics, as it demands a strong understanding of complex concepts.
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Non-Statistical Fields
Individuals in fields unrelated to statistics or econometrics may find the content too specialized and challenging to apply.
-
Casual Readers
Not recommended for casual readers looking for a light introduction, as content is rigorous and requires focused study.
Product Description
Customer Questions & Answers
-
Question:
What is the focus of this book?
Answer: The focus of this book is on the principles of Bayesian inference by posing a series of theoretical and applied questions and providing detailed solutions to those questions -
Question:
Does this book include coverage of models popular in finance and macroeconomics?
Answer: Yes, the second edition has extensive coverage of models popular in finance and macroeconomics -
Question:
Who can find this book useful?
Answer: This book is suitable for graduate study in economics and also of interest to students studying statistics, finance, marketing, and agricultural economics.
Joshua Chan (Contributor) Econometrics & Statistics Editorial Review
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Pros
- Comprehensive exercises for practice
- Clear explanations of concepts
- Well-structured chapters
- Useful for both beginners and advanced
- Great for academic and professional use
Cons
- Some examples may be outdated.
Product Price History
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€ 85
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Features & Benefits
- Extensive coverage of popular models in finance and macroeconomics
- Inclusion of many new exercises related to MCMC methods
- Suitable for graduate study in economics
- Discusses and illustrates MCMC methods in detail
- MATLAB® computer programs are provided on the website
- Of interest to students studying statistics, finance, marketing, and agricultural economics

