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Author : Michael T. Hannan
Publisher :
ISBN 13 :
Total Pages : 32 pages
Book Rating : 4.:/5 (853 download)
Download or read book The Causal Approach to Measurement Error in Panel Analysis written by Michael T. Hannan and published by . This book was released on 1972 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Steven E. Finkel
Publisher : SAGE
ISBN 13 : 9780803938960
Total Pages : 108 pages
Book Rating : 4.9/5 (389 download)
Download or read book Causal Analysis with Panel Data written by Steven E. Finkel and published by SAGE. This book was released on 1995-01-17 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Panel data, which consist of information gathered from the same individuals or units at several different points in time, are commonly used in the social sciences to test theories of individual and social change. This book provides an overview of models that are appropriate for the analysis of panel data, focusing specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Without "painting" panel data as a cure all for the problems of causal inference in nonexperimental research, the author shows how panel data offer multiple ways of strengthening the causal inference process. In addition, he shows how to estimate models that contain a variety of lag specifications, reciprocal effects, and imperfectly measured variables. Appropriate for readers who are familiar with multiple regression analysis and causal modeling, this book will offer readers the highlights of developments in this technique from diverse disciplines to analytic traditions.
Author : Uwe Engel
Publisher : Walter de Gruyter
ISBN 13 : 3110824450
Total Pages : 308 pages
Book Rating : 4.1/5 (18 download)
Download or read book Analysis of Change written by Uwe Engel and published by Walter de Gruyter. This book was released on 2012-05-07 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Gregory B. Markus
Publisher : SAGE
ISBN 13 : 9780803913721
Total Pages : 76 pages
Book Rating : 4.9/5 (137 download)
Download or read book Analyzing Panel Data written by Gregory B. Markus and published by SAGE. This book was released on 1979 with total page 76 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discusses an array of techniques for the analysis of data collected on the same units of analysis (the "panel") at two or more points in time.
Author : Henning Best
Publisher : SAGE
ISBN 13 : 1473908353
Total Pages : 425 pages
Book Rating : 4.4/5 (739 download)
Download or read book The SAGE Handbook of Regression Analysis and Causal Inference written by Henning Best and published by SAGE. This book was released on 2013-12-20 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: ′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis.
Author : Hubert M. Blalock
Publisher : Transaction Publishers
ISBN 13 : 0202364615
Total Pages : 300 pages
Book Rating : 4.2/5 (23 download)
Download or read book Causal Models in Experimental Designs written by Hubert M. Blalock and published by Transaction Publishers. This book was released on 2017 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a companion volume to the Causal Models in the Social Sciences, the majority of articles concern panel designs involving repeated measurements while a smaller cluster involves discussions of how experimental designs may be improved by more explicit attention to causal models. All of the papers are concerned with complications that may occur in actual research designs--as compared with idealized ones that often become the basis of textbook discussions of design issues. In thinking about the revision of that volume, considerable literature has accumulated. As a result, this volume attempts to bridge the gap in time and substance to that earlier effort. Blalock examined articles that seemed to hold the most promise of expanding the variety of topics in research methods to the causal modeling approach, and addressing the design issues involved. The majority of these fell under the heading of panel designs involving repeated measurements; a smaller cluster involved discussions of how our understanding of experimental designs could be improved by paying explicit attention to causal models. Blalock presented five chapters bearing on experimental designs into Part I, since the issues with which they deal are more general than those that treat more specifically with the handling of change data. Although many readers may have more immediate interest in these latter papers, which appear in Part II, Blalock thought it wise to encourage such readers to examine broader issues before plunging specifically into discussions of panel designs. H.M. Blalock, Jr. (1926-1991) was professor of sociology at the University of Washington, Seattle. He was recipient of the 1973 ASA Samuel Stouffer Prize, and was a Fellow of the American Statistical Association and the American Academy of Arts and Sciences, and is a member of the National Academy of Sciences. He was the 70th president of the American Sociological Association.
Author : Ronald C. Kessler
Publisher : Elsevier
ISBN 13 : 1483297829
Total Pages : 216 pages
Book Rating : 4.4/5 (832 download)
Download or read book Linear Panel Analysis written by Ronald C. Kessler and published by Elsevier. This book was released on 2014-06-28 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Linear Panel Analysis
Author : P.A.V.B. Swamy
Publisher :
ISBN 13 :
Total Pages : 90 pages
Book Rating : 4.:/5 (13 download)
Download or read book Alternative Approaches to the Econometrics of Panel Data written by P.A.V.B. Swamy and published by . This book was released on 2019 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this chapter we show that all the known estimators of the coefficients of econometric models are inconsistent if their coefficients and error terms are not unique. In their stead, we present models having unique coefficients and error terms, with specific applicability to the analyses of panel data sets. We show that the coefficient on an included non-constant regressor of a model with unique coefficients and error term is the sum of bias-free and omitted-regressor bias components. This sum, when multiplied by the negative ratio of the measurement error to the observed regressor, provides a measurement-error bias component of the coefficient. This result is important because to measure the direct causal effect of an included non-constant regressor of a model on its dependent variable, one needs the bias-free component of the coefficient on the regressor.
Author : Marno Verbeek
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110660814
Total Pages : 284 pages
Book Rating : 4.1/5 (16 download)
Download or read book Panel Methods for Finance written by Marno Verbeek and published by Walter de Gruyter GmbH & Co KG. This book was released on 2021-10-25 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Financial data are typically characterised by a time-series and cross-sectional dimension. Accordingly, econometric modelling in finance requires appropriate attention to these two – or occasionally more than two – dimensions of the data. Panel data techniques are developed to do exactly this. This book provides an overview of commonly applied panel methods for financial applications, including popular techniques such as Fama-MacBeth estimation, one-way, two-way and interactive fixed effects, clustered standard errors, instrumental variables, and difference-in-differences. Panel Methods for Finance: A Guide to Panel Data Econometrics for Financial Applications by Marno Verbeek offers the reader: Focus on panel methods where the time dimension is relatively small A clear and intuitive exposition, with a focus on implementation and practical relevance Concise presentation, with many references to financial applications and other sources Focus on techniques that are relevant for and popular in empirical work in finance and accounting Critical discussion of key assumptions, robustness, and other issues related to practical implementation
Author : David A. Kenny
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 304 pages
Book Rating : 4.F/5 ( download)
Download or read book Correlation and Causality written by David A. Kenny and published by John Wiley & Sons. This book was released on 1979 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural modeling; Covariance algebra; Principles of path analysis; Models with observed variables as causes; Measurement error in the exogenous variable and third variables; Observed variables as causes of each other; Single unmeasured exogenous variables; Causal models with multiple unmeasured variables; Causal models with unmeasured variables; Causal models and true experiments; The nonequivalent control group design; Cross-lagged panel correlation; Loose ends.
Author : Matthew McBee
Publisher : SAGE
ISBN 13 : 1529711118
Total Pages : 178 pages
Book Rating : 4.5/5 (297 download)
Download or read book Statistical Approaches to Causal Analysis written by Matthew McBee and published by SAGE. This book was released on 2022-03-01 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an up-to-date and accessible introduction to causal inference in quantitative research. Featuring worked example datasets throughout, it clearly outlines the steps involved in carrying out various types of statistical causal analysis. In turn, helping you apply these methods to your own research. It contains guidance on: Selecting the most appropriate conditioning method for your data. Applying the Rubin’s Causal Model to your analysis, a mathematical framework for understanding and ensuring accurate causation inferences. Utilising various techniques and designs, such as propensity scores, instrumental variables analysis, and regression discontinuity designs, to better synthesise and analyse different types of data. Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
Author : D. Holt
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (595 download)
Download or read book The Effect of Measurement Error on Panel Analysis Methods written by D. Holt and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Lawrence R. James
Publisher : SAGE Publications, Incorporated
ISBN 13 :
Total Pages : 184 pages
Book Rating : 4.:/5 (43 download)
Download or read book Causal Analysis written by Lawrence R. James and published by SAGE Publications, Incorporated. This book was released on 1982-10 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses specifically on confirmatory analysis - a quantitative technique used to illuminate causal relationships among organizational phenomena. The authors outline the conditions that must be met if causal inferences are to be drawn from nonexperimental data, and offer new tests for determining whether data meet those conditions. While analytic models and techniques of confirmatory analysis are stressed here, the authors also emphasize the importance of strong, well-developed theory as a prerequisite to the appropriate application of these powerful (but easily misused) tools.
Author : Steven E. Finkel
Publisher :
ISBN 13 : 9781526421036
Total Pages : 0 pages
Book Rating : 4.4/5 (21 download)
Download or read book Causal Analysis with Panel Data written by Steven E. Finkel and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This entry discusses the uses of panel data, a type of longitudinal data that consists of multiple waves of observation on multiple units, in estimating causal effects between variables. It begins with models for handling omitted variable bias, and in the process embeds panel analysis within the now-prevalent "Bpotential outcomes" or "Bcounterfactual" approach to causality in the social sciences. It then moves to models of reciprocal causality, drawing on a long literature in structural equation modeling as applied to longitudinal data. Finally, it discusses efforts at integrating panel models within each of these traditions into a general analytic framework.
Author : Edward W. Frees
Publisher : Cambridge University Press
ISBN 13 : 9780521535380
Total Pages : 492 pages
Book Rating : 4.5/5 (353 download)
Download or read book Longitudinal and Panel Data written by Edward W. Frees and published by Cambridge University Press. This book was released on 2004-08-16 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.
Author : Alexandru Cernat
Publisher : Oxford University Press
ISBN 13 : 0192603981
Total Pages : 304 pages
Book Rating : 4.1/5 (926 download)
Download or read book Measurement Error in Longitudinal Data written by Alexandru Cernat and published by Oxford University Press. This book was released on 2021-03-18 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a focus on change, be it of individuals, of countries, of organizations, or of systems, and this is reflected in the myriad of longitudinal data that are being collected using large panel surveys. This type of data collection has been made easier in the age of Big Data and with the rise of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to flawed and misleading conclusions. Measurement Error in Longitudinal Data tackles the important issue of how to investigate change in the context of imperfect data. It compiles the latest advances in estimating change in the presence of measurement error from several fields and covers the entire process, from the best ways of collecting longitudinal data, to statistical models to estimate change under uncertainty, to examples of researchers applying these methods in the real world. This book introduces the essential issues of longitudinal data collection, such as memory effects, panel conditioning (or mere measurement effects), the use of administrative data, and the collection of multi-mode longitudinal data. It also presents some of the most important models used in this area, including quasi-simplex models, latent growth models, latent Markov chains, and equivalence/DIF testing. Finally, the use of vignettes in the context of longitudinal data and estimation methods for multilevel models of change in the presence of measurement error are also discussed.
Author : Shiyao Liu (Scientist in Political Science)
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (133 download)
Download or read book Causal Inference with Measurement Errors written by Shiyao Liu (Scientist in Political Science) and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The third chapter, by adopting a data-driven theory discovery technique, proposes the hypothesis that the local government in China is more likely to respond if the petitioner sends a credible signal to the government that she is an insider. It further tests this hypothesis with an active-labeling-enhanced semi-supervised learning algorithm as proposed in this dissertation.
