Introduction to Japanese Household Surveys, Unayama
Автор: Deaton Angus Название: Analysis of Household Surveys (Reissue Edition with a New Pr ISBN: 1464813310 ISBN-13(EAN): 9781464813313 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 6897.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Two decades after its original publication, The Analysis of Household Surveys is being reissued with a new preface by its author, Sir Angus Deaton, recipient of the 2015 Nobel Prize in Economic Sciences. This classic work remains relevant to anyone with a serious interest in using household survey data to shed light on policy issues. The book reviews the analysis of household survey data, including the construction of household surveys, the econometric tools that are the most useful for such analysis, and a range of problems in development policy for which the econometric analysis of household surveys is useful and informative. The author's approach remains close to the data, relying on transparent econometric and graphical techniques to present the data so that policy and academic debates are clearly informed. Chapter 1 describes the features of survey design that need to be understood in order to undertake appropriate analysis. Chapter 2 discusses the general econometric and statistical issues that arise when using survey data for estimation and inference. Chapter 3 covers the use of survey data to measure welfare, poverty, and distribution. Chapter 4 discusses the use of household budget data to explore patterns of household demand. Chapter 5 is about price reform, its effects on equity and efficiency, and how to measure them. Chapter 6 addresses the role of household consumption and saving in economic development. The book includes an appendix providing code and programs using STATA, which can serve as a template for the users' own analysis.
Автор: Burfisher, Mary E. Название: Introduction to computable general equilibrium models 3rd edition ISBN: 1108748023 ISBN-13(EAN): 9781108748025 Издательство: Cambridge Academ Рейтинг: Цена: 8237.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This intuitive, hands-on introduction to computable general equilibrium models (a tool used to support public policy making on issues including trade, climate change and taxation) will benefit students across a spectrum of economic studies, including international trade, environmental economics, macroeconomics, microeconomics, and public finance.
Автор: Davidson, James Название: Stochastic limit theory, 2 ed. ISBN: 0192844504 ISBN-13(EAN): 9780192844507 Издательство: Oxford Academ Рейтинг: Цена: 10790.00 р. Наличие на складе: Поставка под заказ.
Описание: Stochastic Limit Theory has become a standard reference in its field. This new edition offers updated and improved results and an extended range of topics. It works both as a textbook and as an account of recent work in a field of particular interest to econometricians.
Автор: Dougherty Christopher Название: Introduction to Econometrics, 5 ed. ISBN: 0199676828 ISBN-13(EAN): 9780199676828 Издательство: Oxford Academ Рейтинг: Цена: 13972.00 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: David L. Olson, Majid Nabavi Название: Introduction to Business Analytics ISBN: 1953349749 ISBN-13(EAN): 9781953349743 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 4012.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents key concepts related to quantitative analysis in business. It is targeted at business students (both undergraduate and graduate) taking an introductory core course. Business analytics has grown to be a key topic in business curricula, and there is a need for stronger quantitative skills and understanding of fundamental concepts. This second edition adds material on Tableau, a very useful software for business analytics. This supplements the tools from Excel covered in the first edition, to include Data Analysis Toolpak and SOLVER.
Описание: This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways.
It explains small area estimation techniques with examples of how the easily accessible R analytical platform can be used to implement them, particularly to estimate indicators on poverty, employment, and health outcomes. The guide is intended for staff of national statistics offices and for other development practitioners. It aims to help them to develop and implement targeted socioeconomic policies to ensure that the vulnerable segments of societies are not left behind, and to monitor progress toward the Sustainable Development Goals.
Автор: Burfisher Mary E. Название: Introduction to Computable General Equilibrium Models ISBN: 1108490085 ISBN-13(EAN): 9781108490085 Издательство: Cambridge Academ Рейтинг: Цена: 21067.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This intuitive, hands-on introduction to computable general equilibrium models (a tool used to support public policy making on issues including trade, climate change and taxation) will benefit students across a spectrum of economic studies, including international trade, environmental economics, macroeconomics, microeconomics, and public finance.
Автор: Beran, Jan Название: Mathematical Foundations of Time Series Analysis ISBN: 3319743783 ISBN-13(EAN): 9783319743783 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a concise introduction to the mathematical foundations of time series analysis, with an emphasis on mathematical clarity. The text is reduced to the essential logical core, mostly using the symbolic language of mathematics, thus enabling readers to very quickly grasp the essential reasoning behind time series analysis.
Автор: Boyd Stephen Название: Introduction to Applied Linear Algebra ISBN: 1316518965 ISBN-13(EAN): 9781316518960 Издательство: Cambridge Academ Рейтинг: Цена: 6811.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications. It combines straightforward explanations with numerous practical examples and exercises from data science, machine learning and artificial intelligence, signal and image processing, navigation, control, and finance.
Автор: Commandeur, Jacques J.F.; Koopman, Siem Jan Название: An Introduction to State Space Time Series Analysis ISBN: 0199228876 ISBN-13(EAN): 9780199228874 Издательство: Oxford Academ Рейтинг: Цена: 15212.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This text provides an introduction to time series analysis using state space methodology to readers who are neither familiar with time series analysis, nor with state space methods. This is the first in a series of books designed to provide practitioners, researchers, and students with practical introductions to various topics in econometrics.
Автор: Lancaster Tony, Smith David, Unsworth John, Название: Introduction to Modern Bayesian Econometrics ISBN: 1405117206 ISBN-13(EAN): 9781405117203 Издательство: Wiley Рейтинг: Цена: 5853.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: * Provides a comprehensive introduction to the Bayesian way of doing applied economics * Emphasizes computation and the study of probability distributions by computer sampling * Includes numerical and graphical examples in each chapter, demonstrating their solutions using the S programming language and Bugs software.
Описание: Presents a unified view of filtering techniques with a focus on wavelet analysis in finance and economics. This title emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series.
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