Автор: Lee C. Adkins and R. Название: Using Stata for Principles of Econometrics, 4th Edition ISBN: 111803208X ISBN-13(EAN): 9781118032084 Издательство: Wiley Рейтинг: Цена: 15515.00 р. Наличие на складе: Поставка под заказ.
Описание: The first major volume to place U.S.-centered labor history in a transnational or U.S.-in-the-world focus, Workers Across the Americas invites the leading authors in the field to explore themes of Labor and Empire, Indigenous Peoples and Labor Systems, International Feminism and Reproductive Labor, Labor Recruitment and Immigration Control, Transnational Labor Politics, and Labor Internationalism.
Автор: Blyth Stephen Название: An Introduction to Quantitative Finance ISBN: 0199666598 ISBN-13(EAN): 9780199666591 Издательство: Oxford Academ Рейтинг: Цена: 6810.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types. This book gives an insight into financial engineering while building on introductory probability courses by detailing one of the most fascinating applications of the subject.
Автор: Dougherty Christopher Название: Introduction to Econometrics, 5 ed. ISBN: 0199676828 ISBN-13(EAN): 9780199676828 Издательство: Oxford Academ Рейтинг: Цена: 12037.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Combining the rigour of econometric theory with an accessible style, Dougherty`s step by step explanations and relevant practical exercises ensure students develop an intuitive understanding of econometrics, and gain hands-on experience of the tools used in economic and financial forecasting.
Автор: Ruud, Paul A. (Professor of Economics, University Название: An Introduction to Classical Econometric Theory ISBN: 0195111648 ISBN-13(EAN): 9780195111644 Издательство: Oxford Academ Рейтинг: Цена: 40549.00 р. Наличие на складе: Поставка под заказ.
Описание: Presenting the methods and techniques for problem solving, this econometrics textbook also examines their mathematical foundations, and presents a geometric understanding of the structure of classical econometrics. It helps students to develop strategies, not just tools, for solving econometrics problems.
Автор: Greenberg Название: Introduction to Bayesian Econometrics ISBN: 1107015316 ISBN-13(EAN): 9781107015319 Издательство: Cambridge Academ Рейтинг: Цена: 8078.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This textbook is an introduction to econometrics from the Bayesian viewpoint. New material includes a chapter on semiparametric regression and new sections on the ordinal probit, item response, factor analysis, ARCH-GARCH and stochastic volatility models. The R programming language is also emphasized.
Автор: Brooks Название: Introductory Econometrics for Finance ISBN: 1107661455 ISBN-13(EAN): 9781107661455 Издательство: Cambridge Academ Рейтинг: Цена: 7918.00 р. Наличие на складе: Поставка под заказ.
Описание: This bestselling and thoroughly classroom-tested textbook is a complete resource for finance students. A comprehensive and illustrated discussion of the most common empirical approaches in finance prepares students for using econometrics in practice, while detailed case studies help them understand how the techniques are used in relevant financial contexts. Worked examples from the latest version of the popular statistical software EViews guide students to implement their own models and interpret results. Learning outcomes, key concepts and end-of-chapter review questions (with full solutions online) highlight the main chapter takeaways and allow students to self-assess their understanding. Building on the successful data- and problem-driven approach of previous editions, this third edition has been updated with new data, extensive examples and additional introductory material on mathematics, making the book more accessible to students encountering econometrics for the first time. A companion website, with numerous student and instructor resources, completes the learning package.
Автор: Vikram Dayal Название: An Introduction to R for Quantitative Economics ISBN: 813222339X ISBN-13(EAN): 9788132223399 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gives an introduction to R to build up graphing, simulating and computing skills to enable one to see theoretical and statistical models in economics in a unified way.
Автор: Moffatt Peter G Название: Experimetrics ISBN: 0230250238 ISBN-13(EAN): 9780230250239 Издательство: Springer Рейтинг: Цена: 10671.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An essential guide to techniques used to analyse experimental data in economics, written by one of the world`s experts in the field. Designed to show advanced economics students and researchers how to tackle difficult econometric problems inherent in the methodology such as between-subject heterogeneity, and upper and lower censoring.
Автор: Blyth, Stephen Название: An Introduction to Quantitative Finance ISBN: 019966658X ISBN-13(EAN): 9780199666584 Издательство: Oxford Academ Рейтинг: Цена: 10138.00 р. Наличие на складе: Поставка под заказ.
Описание: The quantitative nature of complex financial transactions makes them a fascinating subject area for mathematicians of all types. This book gives an insight into financial engineering while building on introductory probability courses by detailing one of the most fascinating applications of the subject.
Автор: Caraiani, Petre Название: Introduction to Quantitative Macroeconomics with Julia ISBN: 0128122196 ISBN-13(EAN): 9780128122198 Издательство: Elsevier Science Рейтинг: Цена: 11957.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Introduction to Quantitative Macroeconomics Using Julia: From Basic to State-of-the-Art Computational Techniques facilitates access to fundamental techniques in computational and quantitative macroeconomics. It focuses on the recent and very promising software, Julia, which offers a MATLAB-like language at speeds comparable to C/Fortran, also discussing modeling challenges that make quantitative macroeconomics dynamic, a key feature that few books on the topic include for macroeconomists who need the basic tools to build, solve and simulate macroeconomic models. This book neatly fills the gap between intermediate macroeconomic books and modern DSGE models used in research.
Combines an introduction to Julia, with the specific needs of macroeconomic students who are interested in DSGE models and PhD students and researchers interested in building DSGE models
Teaches fundamental techniques in quantitative macroeconomics by introducing theoretical elements of key macroeconomic models and their potential algorithmic implementations
Exposes researchers working in macroeconomics to state-of-the-art computational techniques for simulating and solving DSGE models
Автор: Gallegati, Mauro Palestrini, Antonio Russo, Ann Название: Introduction to agent-based economics ISBN: 0128038349 ISBN-13(EAN): 9780128038345 Издательство: Elsevier Science Рейтинг: Цена: 13298.00 р. Наличие на складе: Поставка под заказ.
Описание:
Introduction to Agent-Based Economics describes the principal elements of agent-based computational economics (ACE). It illustrates ACE's theoretical foundations, which are rooted in the application of the concept of complexity to the social sciences, and it depicts its growth and development from a non-linear out-of-equilibrium approach to a state-of-the-art agent-based macroeconomics. The book helps readers gain a better understanding of the limits and perspectives of the ACE models and their capacity to reproduce economic phenomena and empirical patterns.
Описание: With the rise of "big data," there is an increasing demand to learn the skills needed to undertake sound quantitative analysis without requiring students to spend too much time on high-level math and proofs. This book provides an efficient alternative approach, with more time devoted to the practical aspects of regression analysis and how to recognize the most common pitfalls. By doing so, the book will better prepare readers for conducting, interpreting, and assessing regression analyses, while simultaneously making the material simpler and more enjoyable to learn. Logical and practical in approach, Regression Analysis teaches: (1) the tools for conducting regressions; (2) the concepts needed to design optimal regression models (based on avoiding the pitfalls); and (3) the proper interpretations of regressions. Furthermore, this book emphasizes honesty in research, with a prevalent lesson being that statistical significance is not the goal of research. This book is an ideal introduction to regression analysis for anyone learning quantitative methods in the social sciences, business, medicine, and data analytics. It will also appeal to researchers and academics looking to better understand what regressions do, what their limitations are, and what they can tell us. This will be the most engaging book on regression analysis (or Econometrics) you will ever read!
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