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The Extent Of Measurement Error In Longitudinal Earnings Data
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Book Synopsis The Extent of Measurement Error in Longitudinal Earnings Data by : John Bound
Download or read book The Extent of Measurement Error in Longitudinal Earnings Data written by John Bound and published by . This book was released on 1989 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper examines the properties and prevalence of measurement error in longitudinal earnings data. The analysis compares Current Population Survey data to administrative Social Security payroll tax records for a sample of heads of households over two years. In contrast. to the typically assumed properties of measurement error, the results indicate that errors are serially correlated over two years and negatively correlated with true earnings (i.e., mean reverting). Moreover, reported earnings are more reliable for females than males. Overall, the ratio of the variance of the signal to the total variance is .82 for men and .92 for women. These ratios fall to .65 and .81 when the data are specified in first-differences. The estimates suggest that longitudinal earnings data may be more reliable than previously believed.
Book Synopsis The Extent of Measurement Error in Longitudinal Earnings Data by :
Download or read book The Extent of Measurement Error in Longitudinal Earnings Data written by and published by . This book was released on 1989 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Extent of Measurement Error in Longitudinal Earnings Sata by : John Bound
Download or read book The Extent of Measurement Error in Longitudinal Earnings Sata written by John Bound and published by . This book was released on 1989 with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Measurement Error in Longitudinal Data by : Alexandru Cernat
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.
Book Synopsis Measurement Error in Earnings Data in the Health and Retirement Study by : Jessie Bricker
Download or read book Measurement Error in Earnings Data in the Health and Retirement Study written by Jessie Bricker and published by . This book was released on 2008 with total page 43 pages. Available in PDF, EPUB and Kindle. Book excerpt: We provide new evidence on the extent of measurement error in respondent-reported earnings data by exploiting detailed W-2 records matched to older workers in the Health and Retirement Study (HRS). Our empirical findings are qualitatively consistent with the findings of previous studies. Mean measurement error in the 1991 HRS earnings data for men is somewhat larger than what has been found in other validation studies, but is still modest, averaging about 0.059 log points, approximately 5.9 percent, or $1,500. For women in 1991, it is 0.067 log points, approximately 6.7 percent, or $916. We find a negative correlation between the measurement error and the true value of earnings as measured by the W-2 records, which indicates the presence of non-classical measurement error. For men and women, this error shows little correlation with a standard set of cross-sectional earnings determinants. The one exception is that the measurement error rises with reported education. The bias on the OLS parameter estimate of the impact of having a college degree or higher (relative to a high school drop-out) from using the respondent-reported rather than the W-2 earnings is positive and estimated to be 0.071 log points, or roughly a bias of 7 percent.
Book Synopsis Measurement Error in Longitudinal Data Without Validation Samples by : Ruifeng Xu
Download or read book Measurement Error in Longitudinal Data Without Validation Samples written by Ruifeng Xu and published by . This book was released on 2007 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Analysis of Longitudinal Data by : Lei Shen
Download or read book Analysis of Longitudinal Data written by Lei Shen and published by . This book was released on 2001 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Measurement Error in Cross-sectional and Longitudinal Labor Market Surveys by :
Download or read book Measurement Error in Cross-sectional and Longitudinal Labor Market Surveys written by and published by . This book was released on 1989 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper reports evidence on the error properties of survey reports of labor market variables such as earnings and work hours. Our primary data source is the PSID Validation Study, a two-wave panel survey of a sample of workers employed by a large firm which also allowed us access to its very detailed records of its workers earnings. etc. The second data source uses individuals' 1977 and 1978 (March Current Population Survey) reports of earnings, matched to Social Security earnings records. In both data sets, individuals: reports of earnings are fairly accurately reported, and the errors are negatively related to true earnings. The latter property reduces the bias due to measurement error when earnings are used as an independent variable, but (unlike the classical-error case) leads to some bias when earnings are the dependent variable. Measurement-error-induced biases when change in earnings is the variable of interest are larger, but not dramatically so. Various measures of hourly earnings were much less reliable than annual earnings. Retrospective reports of unemployment showed considerable under-reporting, even of long spells.
Download or read book Proceedings written by and published by . This book was released on 1992 with total page 708 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Correlated Non-Classical Measurement Errors, ‘Second Best’ Policy Inference and the Inverse Size-Productivity Relationship in Agriculture by : Abay, Kibrom A.
Download or read book Correlated Non-Classical Measurement Errors, ‘Second Best’ Policy Inference and the Inverse Size-Productivity Relationship in Agriculture written by Abay, Kibrom A. and published by Intl Food Policy Res Inst. This book was released on 2018-02-17 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt: We show analytically and empirically that non-classical measurement errors in the two key variables in a hypothesized relationship can bias the estimated relationship between them in any direction. Furthermore, if these measurement errors are correlated, correcting for either one alone can aggravate bias in the parameter estimate of interest relative to ignoring mismeasurement in both variables, a ‘second best’ result with implications for a broad class of economic phenomena of policy interest. We illustrate these results empirically by demonstrating the implications of mismeasured agricultural output and plot size for the long-debated (inverse) relationship between size and productivity.
Book Synopsis Total Survey Error in Practice by : Paul P. Biemer
Download or read book Total Survey Error in Practice written by Paul P. Biemer and published by John Wiley & Sons. This book was released on 2017-02-21 with total page 624 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring a timely presentation of total survey error (TSE), this edited volume introduces valuable tools for understanding and improving survey data quality in the context of evolving large-scale data sets This book provides an overview of the TSE framework and current TSE research as related to survey design, data collection, estimation, and analysis. It recognizes that survey data affects many public policy and business decisions and thus focuses on the framework for understanding and improving survey data quality. The book also addresses issues with data quality in official statistics and in social, opinion, and market research as these fields continue to evolve, leading to larger and messier data sets. This perspective challenges survey organizations to find ways to collect and process data more efficiently without sacrificing quality. The volume consists of the most up-to-date research and reporting from over 70 contributors representing the best academics and researchers from a range of fields. The chapters are broken out into five main sections: The Concept of TSE and the TSE Paradigm, Implications for Survey Design, Data Collection and Data Processing Applications, Evaluation and Improvement, and Estimation and Analysis. Each chapter introduces and examines multiple error sources, such as sampling error, measurement error, and nonresponse error, which often offer the greatest risks to data quality, while also encouraging readers not to lose sight of the less commonly studied error sources, such as coverage error, processing error, and specification error. The book also notes the relationships between errors and the ways in which efforts to reduce one type can increase another, resulting in an estimate with larger total error. This book: • Features various error sources, and the complex relationships between them, in 25 high-quality chapters on the most up-to-date research in the field of TSE • Provides comprehensive reviews of the literature on error sources as well as data collection approaches and estimation methods to reduce their effects • Presents examples of recent international events that demonstrate the effects of data error, the importance of survey data quality, and the real-world issues that arise from these errors • Spans the four pillars of the total survey error paradigm (design, data collection, evaluation and analysis) to address key data quality issues in official statistics and survey research Total Survey Error in Practice is a reference for survey researchers and data scientists in research areas that include social science, public opinion, public policy, and business. It can also be used as a textbook or supplementary material for a graduate-level course in survey research methods.
Book Synopsis Poverty Traps and Nonlinear Income Dynamics with Measurement Error and Individual Heterogeneity by :
Download or read book Poverty Traps and Nonlinear Income Dynamics with Measurement Error and Individual Heterogeneity written by and published by World Bank Publications. This book was released on with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis A Large Scale Validation Study of Measurement Errors in Longitudinal Survey Data by : Nicolai Kristensen
Download or read book A Large Scale Validation Study of Measurement Errors in Longitudinal Survey Data written by Nicolai Kristensen and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis The Oxford Handbook of Panel Data by : Badi H. Baltagi
Download or read book The Oxford Handbook of Panel Data written by Badi H. Baltagi and published by Oxford University Press. This book was released on 2014-11-03 with total page 705 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Oxford Handbook of Panel Data examines new developments in the theory and applications of panel data. It includes basic topics like non-stationary panels, co-integration in panels, multifactor panel models, panel unit roots, measurement error in panels, incidental parameters and dynamic panels, spatial panels, nonparametric panel data, random coefficients, treatment effects, sample selection, count panel data, limited dependent variable panel models, unbalanced panel models with interactive effects and influential observations in panel data. Contributors to the Handbook explore applications of panel data to a wide range of topics in economics, including health, labor, marketing, trade, productivity, and macro applications in panels. This Handbook is an informative and comprehensive guide for both those who are relatively new to the field and for those wishing to extend their knowledge to the frontier. It is a trusted and definitive source on panel data, having been edited by Professor Badi Baltagi-widely recognized as one of the foremost econometricians in the area of panel data econometrics. Professor Baltagi has successfully recruited an all-star cast of experts for each of the well-chosen topics in the Handbook.
Book Synopsis Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data by : Dean Robert Hyslop
Download or read book Earnings Dynamics and Measurement Error in Matched Survey and Administrative Data written by Dean Robert Hyslop and published by . This book was released on 2016 with total page 49 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Economic Mobility and Poverty Dynamics in Developing Countries by : Bob Baulch
Download or read book Economic Mobility and Poverty Dynamics in Developing Countries written by Bob Baulch and published by Taylor & Francis. This book was released on 2000 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: A collection of studies assembled from six countries - South Africa, China, Ethiopia, Pakistan, Zimbabwe and Chile - using household panel data to examine the issue of poverty. The studies suggest that populations often swing in and out of poverty due to changes in business and agriculture.
Book Synopsis Do Emotions Help or Hurt Decisionmaking? by : Kathleen D. Vohs
Download or read book Do Emotions Help or Hurt Decisionmaking? written by Kathleen D. Vohs and published by Russell Sage Foundation. This book was released on 2007-11-26 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: Philosophers have long tussled over whether moral judgments are the products of logical reasoning or simply emotional reactions. From Jane Austen's Sense and Sensibility to the debates of modern psychologists, the question of whether feeling or sober rationality is the better guide to decision making has been a source of controversy. In Do Emotions Help or Hurt Decision Making? Kathleen Vohs, Roy Baumeister, and George Loewenstein lead a group of prominent psychologists and economists in exploring the empirical evidence on how emotions shape judgments and choices. Researchers on emotion and cognition have staked out many extreme positions: viewing emotions as either the driving force behind cognition or its side effect, either an impediment to sound judgment or a guide to wise decisions. The contributors to Do Emotions Help or Hurt Decision Making? provide a richer perspective, exploring the circumstances that shape whether emotions play a harmful or helpful role in decisions. Roy Baumeister, C. Nathan DeWall, and Liqing Zhang show that while an individual's current emotional state can lead to hasty decisions and self-destructive behavior, anticipating future emotional outcomes can be a helpful guide to making sensible decisions. Eduardo Andrade and Joel Cohen find that a positive mood can negatively affect people's willingness to act altruistically. Happy people, when made aware of risks associated with altruistic acts, become wary of jeopardizing their own well-being. Benoît Monin, David Pizarro, and Jennifer Beer find that whether emotion or reason matters more in moral evaluation depends on the specific issue in question. Individual characteristics often mediate the effect of emotions on decisions. Catherine Rawn, Nicole Mead, Peter Kerkhof, and Kathleen Vohs find that whether an individual makes a decision based on emotion depends both on the type of decision in question and the individual's level of self-esteem. And Quinn Kennedy and Mara Mather show that the elderly are better able to regulate their emotions, having learned from experience to anticipate the emotional consequences of their behavior. Do Emotions Help or Hurt Decision Making? represents a significant advance toward a comprehensive theory of emotions and cognition that accounts for the nuances of the mental processes involved. This landmark book will be a stimulus to scholarly debates as well as an informative guide to everyday decisions.
