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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

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

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

Measurement Error in Earnings Data : Replication of Meijer, Rohwedder, and Wansbeek's Mixture Model Approach to Combining Survey and Register Data

Jenkins, Stephen; Rios-Avila, Fernando - 2021

Meijer, Rohwedder, and Wansbeek (MRW, Journal of Business & Economic Statistics, 2012) develop methods for prediction of a single earnings figure per worker from mixture factor models fitted using earnings data from multiple linked data sources. MRW apply their method using parameter estimates...

Persistent link: https://www.econbiz.de/10013240269

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

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

Evaluation of a Tax Reform : A Model with Measurement Error

Euwals, Rob - 2007

Parts of the Dutch tax reform 2001 are directed towards fiscal partners in a household and aim at lowering the marginal tax burden of the partner with the lowest (potential) labour income. An important goal of the reform is to increase the employment rate of these partners, which are in majority...

Persistent link: https://www.econbiz.de/10012778246

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

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

The Implications of Self-Reported Body Weight and Height for Measurement Error in BMI

Davillas, Apostolos; Jones, Andrew M. - 2022

-household peers' true BMI. This may bias studies that use BMI based on self-reported data as a regressor. Common methods to mitigate …

Persistent link: https://www.econbiz.de/10014087459