Bounding Parameter Estimates with Nonclassical Measurement Error

By D. Black, M. Berger, Frank A. Scott. 2000

220 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/90f7a2bcf218c188c32dbe2a445aa157cf55162d

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In Economics and Econometrics

Citations in the corpus

Assessing the credibility of instrumental variables inference with imperfect instruments via sensitivity analysis (2009, unknown): “Going beyond this, Card (1999, p. 1816), for example, cites a substantial body of research indicating that errors in measures of schooling induce correlations between actual and observed schooling of around .90, which imply specific bounds on the correlation of measured schooling and the errors in a”
Measurement of Higher Education in the Census and Current Population Survey (2003, methodology): “They indicate to us, however, that the estimates of the level of measurement error derived previously may be quite conservative, an issue we explore in greater detail in Black et al. (2003). Although nonresponse in the NSCG in general seems likely to cause us to underestimate the rate of education m”
On the Measurement of Job Risk in Hedonic Wage Models (2003, unknown): “…the estimate of the price of risk will be sufficient for informed decision making (Kniesner and Viscusi 2003) so that researchers can make increased use of recent developments in the econometrics of error bounds on parameters (Black, Berger, and Scott 2000; Bound, Brown, and Mathiowetz 2001).”
On the estimation of treatment effects with endogenous misreporting (2016, unknown): “This result is similar to those obtained by Loewenstein & Spletzer (1997), and Black et al. (2000). We now present an estimation procedure that delivers consistent and asymptotically normal estimates for the treatment effect, α.”
Bias From Censored Regressors (2009, background): “That is, we observe x i = (1 di)xi + di (2)”
The medical care costs of obesity: an instrumental variables approach. (2012, unknown): “If the regressor suffers only from nonclassical measurement error then the true effect will generally lie between the OLS and IV estimates in the case of a simple univariate regression (Black et al., 2000).”
Estimating the Returns to College Quality with Multiple Proxies for Quality (2006, background): “While the literature has made progressCov (Q*, u ) ( 0k on this issue in the case of binary (see, e.g., Kane, Rouse, and StaigerQ* 1999; Black, Berger, and Scott 2000; and Frazis and Loewenstein 2003), it has not made much headway for continuous .”
Identification and estimation of nonlinear models with misclassification error using instrumental variables: A general solution (2008, unknown): “Black et al. (2000) estimate the slope coefficient in a regression model when a secondary measurement is available.”
Got milk? The impact of Heifer International's livestock donation programs in Rwanda on nutritional outcomes (2014, unknown): “BACKGROUND Malnutrition results from a combination of an inadequate intake of calories, micronutrients, and high-quality protein (Black et al. 2008, Victora et al. 2008). Research increasingly demonstrates that animal-source foods provide complete protein, energy, and an array of micronutrients that”
Overeducation and Mismatch in the Labor Market (2011, unknown): “…been shown, in the case of single mismeasured regressors, that with nonclassical measurement error OLS estimates tend to be biased towards zero as long as the covariance between the measurement error and the variable is not stronger than the variance of the measurement error (Black et al., 2000).”
Estimating returns to education using twins in urban China (2012, methodology): “However, Black et al. (2000) provide a method that establishes the lower and upper bounds of the true return to education as estimated using a twins sample.”
The Elephant in the Corner: A Cautionary Tale About Measurement Error in Treatment Effects Models (2010, methodology): “Point identi cation is possible in a Generalized Method of Moments (GMM) framework, as discussed in Black et al. (2000), Bound et al. (2001), and Lewbel (2007).”
Match Bias from Earnings Imputation in the Current Population Survey: The Case of Imperfect Matching (2006, methodology): “…(2004) show that the bias (the sum of the match error rates for union and nonunion nonrespondents) is equivalent to that for right-hand-side measurement error of a dummy variables, as developed by Aigner (1973) and extended in subsequent literature (e.g., Bollinger 1996; Black et al. 2000).”
Identification and Estimation of Regression Models with Misclassification (2006, unknown): “in the form of a repeated measurement, Black, Berger, and Scott (2000) obtained point”