[PDF] Macro And Microdata Analyses And Their Integration eBook

Author : Nancy D. Ruggles
Publisher : Edward Elgar Publishing
Page : 584 pages
File Size : 30,13 MB
Release : 1999
Category : Business & Economics
ISBN :

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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

Author : Randy A. Becker
Publisher :
Page : 0 pages
File Size : 42,77 MB
Release : 2009
Category :
ISBN :

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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.

Author : OECD
Publisher : OECD Publishing
Page : 236 pages
File Size : 24,20 MB
Release : 2013-06-12
Category :
ISBN : 9264194835

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This publication presents an internationally agreed framework to support the joint analysis of micro-level statistics on household income, consumption and wealth.

Author : Marcello D'Orazio
Publisher : John Wiley & Sons
Page : 268 pages
File Size : 41,77 MB
Release : 2006-03-30
Category : Mathematics
ISBN : 0470023546

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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.

Author : Yadolah Dodge
Publisher : Springer Science & Business Media
Page : 427 pages
File Size : 42,22 MB
Release : 2012-12-06
Category : Business & Economics
ISBN : 3642486789

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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.

Author : John W. Kendrick
Publisher : Springer Science & Business Media
Page : 458 pages
File Size : 35,19 MB
Release : 2012-12-06
Category : Business & Economics
ISBN : 9400917988

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National income estimates date back to the late 17th century, but only in the half-century since the Second World War have economic accounts developed in their present form, becoming an indispensable tool for macroeconomic analysis, projections and policy formulation. Furthermore, it was in this period that the United Nations issued several versions of a system of national accounts (SNA) to make possible economic comparisons on a consistent basis. The latest version, SNA 1993, published in early 1994, occasioned this collection of essays and commentaries. The three chief objectives of the volume are: to enhance understanding of socioeconomic accounts generally and of SNA 1993 in particular; to offer a critique of SNA 1993, including constructive suggestions for future revisions of the system, making it even more useful for its national and international purposes; and to serve as a textbook, or book of readings in conjunction with SNA 1993, for courses in economic accounts.

Author : Peter Vojtáš
Publisher : IOS Press
Page : 376 pages
File Size : 34,48 MB
Release : 2013-01-15
Category : Computers
ISBN : 1614991766

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With the growth in our reliance on information systems and computer science information modeling and knowledge bases have become a focus for academic attention and research. The amount and complexity of information, the number of levels of abstraction and the size of databases and knowledge bases all continue to increase, and new challenges and problems arise every day.This book is part of the series Information Modelling and Knowledge Bases, which concentrates on a variety of themes such as the design and specification of information systems, software engineering and knowledge and process management.

Author : Krzysztof Jajuga
Publisher : Springer Nature
Page : 352 pages
File Size : 33,34 MB
Release : 2021-06-28
Category : Business & Economics
ISBN : 3030751902

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This volume gathers peer-reviewed contributions that address a wide range of recent developments in the methodology and applications of data analysis and classification tools in micro and macroeconomic problems. The papers were originally presented at the 29th Conference of the Section on Classification and Data Analysis of the Polish Statistical Association, SKAD 2020, held in Sopot, Poland, September 7–9, 2020. Providing a balance between methodological contributions and empirical papers, the book is divided into five parts focusing on methodology, finance, economics, social issues and applications dealing with COVID-19 data. It is aimed at a wide audience, including researchers at universities and research institutions, graduate and doctoral students, practitioners, data scientists and employees in public statistical institutions.

Author : Nancy D. Ruggles
Publisher : Edward Elgar Publishing
Page : 582 pages
File Size : 17,46 MB
Release : 1999-01-01
Category : Business & Economics
ISBN : 9781781956786

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'Richard Ruggles, often assisted by Nancy Ruggles, has been a major contributor to national income accounting and to the empirical study of microeconomics and macroeconomics using that and other data. He has focused on the quantitative analysis of actual economic systems in a discipline increasingly preoccupied with abstract pure conceptual models. Like the work of Simon Kuznets and others, Ruggles's analyses encompass an unusually wide range of variables.' - Warren J. Samuels, Michigan State University, US This volume reflects the pioneering contribution of Nancy and Richard Ruggles to the development of national accounts. It provides a comprehensive overview of the evolution of national accounting systems over the last 50 years.

Author : Rainer Winkelmann
Publisher : Springer
Page : 0 pages
File Size : 21,16 MB
Release : 2010-10-19
Category : Business & Economics
ISBN : 9783642100833

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The availability of microdata has increased rapidly over the last decades, and standard statistical and econometric software packages for data analysis include ever more sophisticated modeling options. The goal of this book, now initssecondedition,istofamiliarizethereaderwithawiderangeofcommonly used models, and thereby to enable her/him to become a critical consumer of current empirical research, and to properly conduct own empirical analyses. The book can be used as a textbook for an advanced undergraduate, a Master’s or a ?rst-year Ph.D. course on the topic of microdata analysis. In economicsandrelateddisciplines,suchacourseistypicallyo?eredaftera?rst course on the linear regression model. Alternatively, the book can also serve as a supplementary text to applied ?eld courses, such as those dealing with empirical analyses in labor, health or education. Finally, it might provide a useful reference for graduate students, researchers and practitioners who encounter microdata in their work. The focus of the book is on regression-type models in the context of large cross-section samples where the dependent variable is qualitative or discrete, or where the sample is not randomly drawn from the population of interest, due to censoring or truncation of the dependent variable. While our ba- groundisineconomics,andweoccasionallyrefertoproblemsandapplications fromempiricaleconomics,themodelsdiscussedinthisbookshouldbeequally relevant wherever microdata are used, inside the social sciences, including for example quantitative political science and sociology, as well as outside.