Macro- and Microdata Analyses and Their Integration - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Macro- and Microdata Analyses and Their Integration write by Nancy D. Ruggles. This book was released on 1999. Macro- and Microdata Analyses and Their Integration available in PDF, EPUB and Kindle. She is no longer an economist at Yale, but he still is. They explain how to measure and analyze macroeconomic and microeconomic data and how to integrate the two, which diverged sharply during the Great Depression and have rarely interacted since. They demonstrate macroanalysis with studies of recession and recovery in the US from 1929 to 1974, theoretical concepts and empirical measurement of saving and investment, accounting for saving and capital formation in the US from 1947 to 1991, and other cases. For microanalysis they look at a study of differential fertility based on census data, longitudinal establishment data, and other topics. For the integration of the two, they take a more methodological approach, describing such features as macroaccount and microdata sets, the relation of methodology to the technology of economic research, and measuring economic and social performance. Annotation copyrighted by Book News, Inc., Portland, OR
Micro and Macro Data Integration
Micro and Macro Data Integration - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Micro and Macro Data Integration write by Randy A. Becker. This book was released on 2009. Micro and Macro Data Integration available in PDF, EPUB and Kindle. Micro and macro data integration should be an objective of economic measurement as it is clearly advantageous to have internally consistent measurement at all levels of aggregation - firm, industry and aggregate. In spite of the apparently compelling arguments, there are few measures of business activity that achieve anything close to micro/macro data internal consistency. The measures of business activity that are arguably the worst on this dimension are capital stocks and flows. In this paper, we document, quantify and analyze the widely different approaches to the measurement of capital from the aggregate (top down) and micro (bottom up) perspectives. We find that recent developments in data collection permit improved integration of the top down and bottom up approaches. We develop a prototype hybrid method that exploits these data to improve micro/macro data internal consistency in a manner that could potentially lead to substantially improved measures of capital stocks and flows at the industry level. We also explore the properties of the micro distribution of investment. In spite of substantial data and associated measurement limitations, we show that the micro distributions of investment exhibit properties that are of interest to both micro and macro analysts of investment behavior. These findings help highlight some of the potential benefits of micro/macro data integration.
OECD Framework for Statistics on the Distribution of Household Income, Consumption and Wealth
OECD Framework for Statistics on the Distribution of Household Income, Consumption and Wealth - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook OECD Framework for Statistics on the Distribution of Household Income, Consumption and Wealth write by OECD. This book was released on 2013-06-12. OECD Framework for Statistics on the Distribution of Household Income, Consumption and Wealth available in PDF, EPUB and Kindle. This publication presents an internationally agreed framework to support the joint analysis of micro-level statistics on household income, consumption and wealth.
Statistical Matching
Statistical Matching - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Matching write by Marcello D'Orazio. This book was released on 2006-03-30. Statistical Matching available in PDF, EPUB and Kindle. There is more statistical data produced in today’s modern society than ever before. This data is analysed and cross-referenced for innumerable reasons. However, many data sets have no shared element and are harder to combine and therefore obtain any meaningful inference from. Statistical matching allows just that; it is the art of combining information from different sources (particularly sample surveys) that contain no common unit. In response to modern influxes of data, it is an area of rapidly growing interest and complexity. Statistical Matching: Theory and Practice introduces the basics of statistical matching, before going on to offer a detailed, up-to-date overview of the methods used and an examination of their practical applications. Presents a unified framework for both theoretical and practical aspects of statistical matching. Provides a detailed description covering all the steps needed to perform statistical matching. Contains a critical overview of the available statistical matching methods. Discusses all the major issues in detail, such as the Conditional Independence Assumption and the assessment of uncertainty. Includes numerous examples and applications, enabling the reader to apply the methods in their own work. Features an appendix detailing algorithms written in the R language. Statistical Matching: Theory and Practice presents a comprehensive exploration of an increasingly important area. Ideal for researchers in national statistics institutes and applied statisticians, it will also prove to be an invaluable text for scientists and researchers from all disciplines engaged in the multivariate analysis of data collected from different sources.
Computational Statistics
Computational Statistics - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational Statistics write by Yadolah Dodge. This book was released on 2012-12-06. Computational Statistics available in PDF, EPUB and Kindle. The papers assembled in this book were presented at the biannual symposium of Inter national Association for Statistical Computing in Neuchcitel, Switzerland, in August of 1992. This congress marked the tenth such meeting from its inception in 1974 at Vienna and maintained the tradition of providing a forum for the open discussion of progress made in computer oriented statistics and the dissemination of new ideas throughout the statistical community. It was gratifying to see how well the groups of theoretical statisti cians, software developers and applied research workers were represented, whose mixing is an event made uniquely possible by this symposium. While maintaining traditions certain new features have been introduced at this con ference: there were a larger number of invited speakers; there was more commercial sponsorship and exhibition space; and a larger body of proceedings have been published. The structure of the proceedings follows a standard format: the papers have been grouped together according to a rough subject matter classification, and within topic follow an approximate aphabetical order. The papers are published in two volumes ac cording to the emphasis of the topics: volume I gives a slight leaning towards statistics and modelling, while volume II is focussed more on computation; but this is certainly only a crude distinction and the volumes have to be thought of as the result of a single en terprise.
