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Interpreting Economic and Social Data

Interpreting Economic and Social Data
Author: Othmar W. Winkler
Publisher: Springer Science & Business Media
Total Pages: 272
Release: 2009-08-12
Genre: Business & Economics
ISBN: 3540687211

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"Interpreting Economic and Social Data" aims at rehabilitating the descriptive function of socio-economic statistics, bridging the gap between today's statistical theory on one hand, and econometric and mathematical models of society on the other. It does this by offering a deeper understanding of data and methods with surprising insights, the result of the author's six decades of teaching, consulting and involvement in statistical surveys. The author challenges many preconceptions about aggregation, time series, index numbers, frequency distributions, regression analysis and probability, nudging statistical theory in a different direction. "Interpreting Economic and Social Data" also links statistics with other quantitative fields like accounting and geography. This book is aimed at students and professors in business, economics demographic and social science courses, and in general, at users of socio-economic data, requiring only an acquaintance with elementary statistical theory.


Data Analysis for Business, Economics, and Policy

Data Analysis for Business, Economics, and Policy
Author: Gábor Békés
Publisher: Cambridge University Press
Total Pages: 741
Release: 2021-05-06
Genre: Business & Economics
ISBN: 1108483011

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A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.


Understanding and Interpreting Economic Structure

Understanding and Interpreting Economic Structure
Author: Geoffrey J.D. Hewings
Publisher: Springer Science & Business Media
Total Pages: 372
Release: 2013-06-29
Genre: Business & Economics
ISBN: 3662039478

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In 1976, volume 116 of the Lecture Notes in Economics and Mathematical Systems appeared in the library of the University of Illinois. The title of the book, Input-Output Analysis and the Structure of Income Distribution was sufficiently intriguing to one of the present editors (Hewings) to command attention. Some years later, during the First World Congress of the Regional Science Association in Cambridge Massachusetts in 1980, Madden and Batey presented some of their work using their now familiar demographic-economic modeling system. Discussion ensued about the relationship between this system, Miyazawa's formulation and the social accounting matrices most closely associated with the work of Stone. During a year's residence at the University of Illinois, Batey was able to produce a valuable typology of multipliers that began the process of integrating these several modeling systems into a coherent package. Thereafter, a number of regional scientists have exploited the ideas and insights proposed by Miyazawa, especially the notion of the interrelational income multiplier and the ideas of internal and external multipliers.


The Economics and Implications of Data

The Economics and Implications of Data
Author: Mr.Yan Carriere-Swallow
Publisher: International Monetary Fund
Total Pages: 50
Release: 2019-09-23
Genre: Computers
ISBN: 1513514814

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This SPR Departmental Paper will provide policymakers with a framework for studying changes to national data policy frameworks.


Interpreting Data

Interpreting Data
Author: A J B Anderson
Publisher: CRC Press
Total Pages: 244
Release: 1989-01-01
Genre: Mathematics
ISBN: 9780412295706

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Textbook for first-year students. Reviews the criteria for the design of questionaires, planned experiments and surveys; also, considers research methodology in general. Application areas range over economic and social studies, demography, epidemiology and the life sciences in general. Available in paper at $24. Annotation copyrighted by Book News, Inc., Portland, OR


Economic Indicators for Professionals

Economic Indicators for Professionals
Author: Charles Steindel
Publisher: Routledge
Total Pages: 222
Release: 2018-08-15
Genre: Business & Economics
ISBN: 1351363905

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We are bombarded with economic numbers: unemployment, retail sales, inflation, GDP—the list goes on and on. Some analyst or another is constantly telling us about an obscure statistic that is the key to our future, or is apparently the indicator that the "Fed" will be using to key off its decisions. With economic numbers playing such a central role in the national and world dialogue on policy and markets, and spilling over into the political arena, a broad review of what they are all about is timely. This book reviews the critical US economic data, and how one may put the numbers into an intellectual structure that will depict evolving economic reality. The work is aimed at those who want and need to get some understanding about how the data contributes to a big picture of the economy and guides policy. The objective is for the reader to grasp the overall logic of the data—how each piece of the puzzle contributes to our understanding of the overall economy. This is the way the Fed looks at the numbers. There are other books that go through the economic numbers, but they do so in a "bottom-up" fashion, describing a series in some detail and adding something about how financial markets may respond to it. This book naturally has considerable discussion of series, but views them as part of the overall mosaic, not items of fundamental interest in themselves.


Just Plain Data Analysis

Just Plain Data Analysis
Author: Gary M. Klass
Publisher: Rowman & Littlefield
Total Pages: 203
Release: 2012
Genre: Mathematics
ISBN: 1442215089

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Just Plain Data Analysis teaches students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. The book addresses skills that are often not taught in introductory social science research methods courses and that are often covered sketchily in the research methods textbooks: where to find commonly used measures of political and social conditions; how to assess the reliability and validity of specific indicators; how to present data efficiently in charts and tables; how to avoid common misinterpretations and misrepresentations of data; and how to evaluate causal arguments based on numerical data. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way.


Understanding China's Economic Indicators

Understanding China's Economic Indicators
Author: Thomas Orlik
Publisher: Pearson Education
Total Pages: 267
Release: 2011-07-07
Genre: Business & Economics
ISBN: 0132620219

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In Understanding China’s Economic Indicators, leading economist and Wall Street Journal columnist Thomas M. Orlik introduces 35 of China's most significant economic statistics. Orlik explains why each indicator matters, how it is collected and computed, and its impact on equity, commodity, and currency markets. As China has emerged as a central player in the global economy, more and more investors are seeking profitable opportunities there. To choose the right investments, it's crucial to understand China's economic environment–and that means finding, interpreting, and utilizing China's growing base of economic indicators. Orlik helps investors make sense of data on everything from Chinese GDP growth to inflation, unemployment, bond yields, electricity production, and aircraft passenger numbers. He draws on the best information supplied by the Chinese government's statistical agency, ministries, and industry associations, as well as private sources. Each indicator is clearly described, along with a practical discussion of its implications for investors.


Econometrics in Theory and Practice

Econometrics in Theory and Practice
Author: Panchanan Das
Publisher: Springer Nature
Total Pages: 565
Release: 2019-09-05
Genre: Business & Economics
ISBN: 9813290196

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This book introduces econometric analysis of cross section, time series and panel data with the application of statistical software. It serves as a basic text for those who wish to learn and apply econometric analysis in empirical research. The level of presentation is as simple as possible to make it useful for undergraduates as well as graduate students. It contains several examples with real data and Stata programmes and interpretation of the results. While discussing the statistical tools needed to understand empirical economic research, the book attempts to provide a balance between theory and applied research. Various concepts and techniques of econometric analysis are supported by carefully developed examples with the use of statistical software package, Stata 15.1, and assumes that the reader is somewhat familiar with the Strata software. The topics covered in this book are divided into four parts. Part I discusses introductory econometric methods for data analysis that economists and other social scientists use to estimate the economic and social relationships, and to test hypotheses about them, using real-world data. There are five chapters in this part covering the data management issues, details of linear regression models, the related problems due to violation of the classical assumptions. Part II discusses some advanced topics used frequently in empirical research with cross section data. In its three chapters, this part includes some specific problems of regression analysis. Part III deals with time series econometric analysis. It covers intensively both the univariate and multivariate time series econometric models and their applications with software programming in six chapters. Part IV takes care of panel data analysis in four chapters. Different aspects of fixed effects and random effects are discussed here. Panel data analysis has been extended by taking dynamic panel data models which are most suitable for macroeconomic research. The book is invaluable for students and researchers of social sciences, business, management, operations research, engineering, and applied mathematics.