extent of measurement error in longitudinal earnings data

do two wrongs make a right? by John Bound

Publisher: National Bureau of Economic Research in Cambridge, MA

Written in English
Published: Pages: 29 Downloads: 533
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Subjects:

  • Wages -- United States -- Longitudinal studies -- Evaluation.,
  • Working class -- United States -- Longitudinal studies -- Evaluation.,
  • Economic surveys -- United States -- Evaluation.

Edition Notes

StatementJohn Bound, Alan B. Krueger.
SeriesNBER working paper series -- working paper no. 2885, Working paper series (National Bureau of Economic Research) -- working paper no. 2885.
ContributionsKrueger, Alan B.
The Physical Object
Pagination29 p. :
Number of Pages29
ID Numbers
Open LibraryOL22437434M

The Measurement of Labor Force Dynamics with Longitudinal Data: The Labour Market Activity Survey Filter. by One result of these constraints is that one might choose a ques- tionnaire structure that filters the data to some extent. A key purpose here is to report our findings about the nature of the LMAS filter so that users of these data. Longitudinal data also allow us to use sophisticated analytic strategies to measure the impact of various policies with reasonable precision. CALDER is capitalizing on the richest source of information about schools, teachers, and students in the United States—state administrative longitudinal databases. Duncan and Hill’s model relates the natural logarithm of annual earnings to three measures of human capital investment: education, work experience prior to current employer, and tenure with current employer, using both the error-ridden self-reported measure of annual earnings and the record-based measure as the left-hand-side variable. We estimate the extent to which upward socioeconomic mobility limits the probability that Black and White women who spent their childhoods in or near poverty will give birth to a low-birthweight baby. Methods. Data from the National Longitudinal Survey of Youth and the US Census were used to complete a series of logistic regression.

homogenous and longitudinal earnings data covering a long period of time. First, no annual earnings survey data covering most of the US workforce are available before the s so that it is difficult to measure overall earnings inequality on a consistent basis before. capital. Using recently available data on individual Armed Forces Qualifying Test (AFQT) items from the National Longitudinal Survey of Youth (NLSY79), I assess which items are most relevant for predicting various long-run economic outcomes including high school completion, college completion, wages at and total lifetime earnings. I.   Annual reported earnings in the NLSY corresponds to a CPS-type measure of annual earnings. The variable used for the annual hours of work measure is a key variable created by the Center for Human Resource Research (CHRR) from the work history data. Average hourly earnings equals annual reported earnings divided by annual hours of work.   We examined the extent to which 10 core treatment elements of A-CRA were sustained and the associations between the extent of A-CRA sustainment and hypothesized factors using a pattern-mixture longitudinal modeling approach. Staff from 76 organizations participated in data collection for a % response rate.

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extent of measurement error in longitudinal earnings data by John Bound Download PDF EPUB FB2

The nature and extent of response errors in longitudinal data on individual-reported labor earnings. The analysis uses a unique data set that links two consecutive March Current Population Surveys (CPS) to employer-reported Social Security earnings records.

Data are thus available on each employee's self-reported. Abstract. This article examines the properties and prevalence of measurement error in longitudinal earnings data. The analysis compares matched Current Population Survey data to administrative Social Security payroll tax records.

In contrast to typically assumed properties of measurement error, the results indicate that errors are serially correlated over 2 years and negatively correlated with true earnings (i.e., mean reverting).Cited by: COVID Resources.

Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle coronavirus.

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. 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 Cited by: Corrections. All material on this site has been provided by the respective publishers and authors.

You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nbr:nberwoSee general information about how to correct material in RePEc. For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic.

The Extent of Measurement Error In Longitudinal Earnings. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Measurement Error Models, ” Journal of the Royal Statistical Society, Their finding that "longitudinal [survey] earnings data may be more reliable than previously believed" 1 is based only on non-imputed data.

Additional panel studies that drop imputed earnings data. Expected estimating equations for missing data, measurement error, and misclassification, with application to longitudinal nonignorable missing data.

Biometrics, 64, 85– MathSciNet CrossRef zbMATH Google Scholar. Download PDF: Sorry, we are unable to provide the full text but you may find it at the following location(s): (external link) http. measurement errors dominate the observed changes in male earnings, and account for large fractions of the changes in female earnings.

JEL codes C33 Keywords Panel data, earnings dynamics, measurement error, validation study Summary haiku When we understand admin data has errors, surveys don’t look bad.

Motu Economic and Public Policy Research. Although most reported earnings variation is true, we conclude that measurement errors dominate observed changes, and that transitory earnings contribute little to overall earnings inequality.

The results imply the reliability of matched administrative data should be treated with caution. About article usage data: Lorem ipsum dolor sit amet, consectetur adipiscing elit.

Aenean euismod bibendum laoreet. Proin gravida dolor sit amet lacus accumsan et viverra justo commodo. Measurement errors in earnings are found to be much larger than reported in previous studies limited to one single firm.

administrative longitudinal data. and analyze the extent of cl. Di⁄erence this to eliminate the –xed e⁄ect i. y it y it 1 = (x it x it 1)+ it it 1 As before we only observe ex it = x it +u our results from above plim b = ˙2 x.

Ralph Lee, Data Development and Longitudinal Studies Group, reviewed the entire report. Irwin Schreiner, Bureau of the Census, Michael Brick, Westat, and Sylvia. remain open due primarily to lack of homogeneous and longitudinal earnings data covering a long period of time.

First, no annual earnings survey data covering most of the US workforce are available before the s so that it is di cult to measure overall earnings inequality on a consistent basis before. From administrative data, we have receipt of JSA and/or IS at the survey date as well as the sum of unemployment spells over the 5 calendar years prior to PSE-UK survey date.

A similar longitudinal measure for earnings from employment over the 5 years prior to the survey was reconstructed from HMRC tax records from P14/P60 forms.

The work-to-family hypothesis and the family-to-work hypothesis provide alternate explanations for the housework-earnings relationship. This study examines these competing theoretical perspectives and explores the longitudinal, cross-lagged relationship between housework time and market earnings.

The data consist of five waves (–) of an ongoing open cohort study with. Park and Shin (), however, conjecture that the spike at zero wage change in the distribution of nominal wage changes could be driven by measurement errors (rounding errors, in particular) plaguing household-survey-based wage data.

Unlike these studies, the current study is based on more accurate wage information received from payroll records. Murnane et al. (), using data from the National Longitudinal Study of the High School Class of and data from High School and Beyond to investigate the determinants of the increase in the premium for college education over high school education, found that mathematical ability has a significant effect on earnings, controlling.

Cross-sectional and Longitudinal Labor Market Data numbers of hourly and salaried workers and a uniform age distribution. Interviews were conducted 4 years later with of the original sample. † To what extent does it vary across subjects. † Is some of this variation associated with subject characteristics.

Introduction to Longitudinal Data 11 1. Some examples and questions of interest Data for 12 subjects: Concentration vs. time Time (hr) Theophylline Conc. (mg/L) 0 5 10 15 20 25 0 2 4 6 8 10 12 Introduction to Longitudinal Data   Data The National Longitudinal Survey of Youth data set cove young males and females who were between the ages of 14 and 21 in In, andrespondents were asked whether all or part of their earnings were based on job performance.

They were also asked a few questions about their work environment. This volume consists of a number of papers related to the theme of the dynamics of inequality and poverty. These are subdivided into four separate parts.

The five chapters in Part I of this volume are concerned with inequality and poverty over extended time periods. Bandyopadhyay and Cowell deal with the concept of vulnerability in the context of income mobility of the poor.

This paper proceeds as follows: In Section 2, we describe our two sources of data and compare with population averages in order to assess how representative the data are. In Section 3, we analyze measurement errors in earnings.

In Section 4, we turn to categorical variables, notably educational attainment, firm size and industry, and analyze the extent of classification errors in these. Recommended Books.

Salanie: A Primer on Contract Theory. An Econometrics Textbook (Woodford [Econometric Analysis of Cross Section and Panel Data] for details of specific approaches and Hayashi [Econometrics] for general approach, we assume you already own a copy of Bill Greene's book).

Angrist, Joshua D. and Jorn-Steffen Pischke (). Search this site: Humanities. Architecture and Environmental Design; Art History. This is one of the books available for loan from IDRE Stats Books for Loan (see Statistics Books for Loan for other such books, and details about borrowing).

We encourage you to obtain Applied Longitudinal Data Analysis, written by Judith D. Singer and John B. Willett, published by the Oxford University Press, to gain a deeper conceptual understanding of the analysis illustrated (see Where to.

We present longitudinal employment and work-incentive statistics for individuals who began receiving Social Security Disability Insurance (DI) benefits from through For the longest-observed cohort, 28 percent returned to work, percent had their benefits suspended for work in at least 1 month, and percent had their benefits terminated for work.earnings test by conducting analyses with commonly used survey data from the Cur-rent Population Survey (CPS) and with longitudinal administrative earnings data.

1. Several recent textbooks draw the same conclusion. See Borjas (, pp. 85–88) and Kaufman and Hotchkiss (, pp. –35). 58 The Journal of Human Resources.and longitudinal earnings data covering a long period of time.

First, no annual earnings survey data covering most of the U.S. workforce are available before the s, so that it is diffi-cult to measure overall earnings inequality on a consistent basis before the s, and in particular to analyze the exact timing of the Great Compression.