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Claeskens, Gerda; Hjort, Nils Lid - In: Econometric theory 24 (2008) 2, pp. 493-527

Persistent link: https://www.econbiz.de/10003894211

Quantile regression with measurement error

Wei, Ying; Carroll, Raymond J. - In: Journal of the American Statistical Association : JASA 104 (2009) 487, pp. 1129-1143

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Instrumental variable estimation of nonlinear errors-in-variables models

Schennach, Susanne M. - In: Econometrica : journal of the Econometric Society, an … 75 (2007) 1, pp. 201-239

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Using regression to answer "what if"

Lehmann, Donald R. - In: The handbook of marketing research : uses, misuses, and …, (pp. 255-266). 2006

Persistent link: https://www.econbiz.de/10003420122

Bounding the effect of a dichotomous regressor with arbitrary measurement errors

Deng, Ping; Hu, Yingyao - In: Economics letters 105 (2009) 3, pp. 256-260

Persistent link: https://www.econbiz.de/10003931039

On deconvolution as a first stage nonparametric estimator

Hu, Yingyao; Ridder, Geert - In: Econometric reviews 29 (2010) 4, pp. 365-396

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Baltagi, Badi H.; Pirotte, Alain - In: Empirical economics : a journal of the Institute for … 40 (2011) 1, pp. 5-49

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Give missings a chance : combined stochastic and rule-based approach to improve regression models with mismeasured monotonic covariates without side information

Dlugosz, Stephan - 2011

Register data are known for their large sample size and good data quality. The measurement accuracy of variables highly depends on their high importance for administrative processes. The education variable in the IAB employment sub-sample is an example for information that is gathered without a...

Persistent link: https://www.econbiz.de/10008901839

Social learning, social influence, and projection bias : a caution on inferences based on proxy reporting of peer behavior

Hogset, Heidi; Barrett, Christopher B. - In: Economic development and cultural change 58 (2010) 3, pp. 563-589

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Regression coefficient identification decay in the presence of infrequent classification errors

Kreider, Brent - In: The review of economics and statistics 92 (2010) 4, pp. 1017-1023

Persistent link: https://www.econbiz.de/10008746349