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Is Earnings Nonresponse Ignorable?
Bollinger, Christopher R. - 2010
survey. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on attributes not matched …
Persistent link: https://www.econbiz.de/10013135391
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The Devil is in the Tails : Regression Discontinuity Design with Measurement Error in the Assignment Variable
Pei, Zhuan - 2016
Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error, however, the discontinuity in the first stage relationship...
Persistent link: https://www.econbiz.de/10012979862
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Empirical Strategies to Eliminate Life-Cycle Bias in the Intergenerational Elasticity of Earnings Literature
Stuhler, Jan - 2010
currently employed in the literature might not eliminate bias arising from life-cycle effects. Specifically, I demonstrate that …
Persistent link: https://www.econbiz.de/10013136780
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Heterogeneous Income Profiles and Life-Cycle Bias in Intergenerational Mobility Estimation
Nybom, Martin - 2011
-cycle bias if the snapshots cannot mimic lifetime outcomes. Using uniquely long series of Swedish income data, we show that … current empirical strategies do not eliminate such bias. We focus on the widely adopted generalized errors-in-variables model … and find that the remaining bias is substantial (20% of the true elasticity from left-side measurement error at the most …
Persistent link: https://www.econbiz.de/10013125141
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Non-Response Biases in Surveys of School Children : The Case of the English Pisa Samples
Micklewright, John - 2010
We analyse response patterns to an important survey of school children, exploiting rich auxiliary information on respondents' and non-respondents' cognitive ability that is correlated both with response and the learning achievement that the survey aims to measure. The survey is the Programme for...
Persistent link: https://www.econbiz.de/10013147126
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The Elephant in the Corner : A Cautionary Tale About Measurement Error in Treatment Effects Models
Millimet, Daniel L. - 2010
Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are divided into one of two strands depending on whether they require the conditional independence assumption (i.e.,...
Persistent link: https://www.econbiz.de/10013138739
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Forecasting Errors : Yet More Problems for Identification?
Contini, Bruno - 2009
Forecasting errors pose a serious problem of identification, often neglected in empirical applications. Any attempt of estimating choice models under uncertainty may lead to severely biased results in the presence of forecasting errors even when individual expectations on future events are...
Persistent link: https://www.econbiz.de/10012764650
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Measurement Error in Subjective Expectations and the Empirical Content of Economic Models
Drerup, Tilman H. - 2014
While stock market expectations are among the most important primitives of portfolio choice models, their measurement has proved challenging for some respondents. We argue that the magnitude of measurement error in subjective expectations can be used as an indicator of the degree to which...
Persistent link: https://www.econbiz.de/10013045063
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Panels with Nonstationary Multifactor Error Structures
Kapetanios, George; Pesaran, M. Hashem; Yamagata, Takashi - 2021
The presence of cross-sectionally correlated error terms invalidates much inferential theory of panel data models …
Persistent link: https://www.econbiz.de/10013317495
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Testing the Specification of the Mincer Wage Equation
Belzil, Christian - 2021
I perform the joint estimation of a reduced-form dynamic model of the transition from one grade level to the next, and a Mincer wage equation, using panel data taken from the NLSY. A very high degree of flexibility is achieved by approximating the distributions of idiosyncractic grade transition...
Persistent link: https://www.econbiz.de/10013317194