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Bootstrap methods for covariance structures

Horowitz, Joel - In: Journal of human resources : JHR 33 (1998) 1, pp. 39-61

Persistent link: https://www.econbiz.de/10001337495

Censoring of outcomes and regressors due to survey nonresponse : identification and estimation using weigths and imputations

Horowitz, Joel; Manski, Charles F. - 1995

Persistent link: https://www.econbiz.de/10000934805

What can be learned about population parameters when the data are contaminated

Horowitz, Joel - 1997

Persistent link: https://www.econbiz.de/10001321886

Censoring of outcomes and regressors due to survey nonresponse : identification and estimation using weights and imputations

Horowitz, Joel - In: Journal of econometrics 84 (1998) 1, pp. 37-58

Persistent link: https://www.econbiz.de/10001234513

Identification and robustness with contaminated and corrupted data

Horowitz, Joel - In: Econometrica : journal of the Econometric Society, an … 63 (1995) 2, pp. 281-302

Persistent link: https://www.econbiz.de/10001181465

Joint censoring of regressors and outcomes : survey nonresponse and attrition

Horowitz, Joel; Manski, Charles F. - 1994

Persistent link: https://www.econbiz.de/10000896408

Variable selection and estimation in high-dimensional models

Horowitz, Joel - In: The Canadian journal of economics 48 (2015) 2, pp. 389-407

Persistent link: https://www.econbiz.de/10011568501

Penalized estimation of high-dimensional models under a generalized sparsity condition

Horowitz, Joel; Huang, Jian - 2012

We consider estimation of a linear or nonparametric additive model in which a few coefficients or additive components are "large" and may be objects of substantive interest, whereas others are "small" but not necessarily zero. The number of small coefficients or additive components may exceed...

Persistent link: https://www.econbiz.de/10009567830