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Analysis of latent Gaussian models with spatial dependence
Vogler, Jan - 2016
Persistent link: https://www.econbiz.de/10011618511
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A contribution on the nature and treatment of missing data in large market surveys
Madden, Gary; Vicente, María Rosalia; Rappoport, Paul N.; … - In: Applied economics 49 (2017) 22, pp. 2179-2187
Persistent link: https://www.econbiz.de/10011817259
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Forecasting financial time series using model averaging
Ravazzolo, Francesco - 2007
Persistent link: https://www.econbiz.de/10003580042
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Joint censoring of regressors and outcomes : survey nonresponse and attrition
Horowitz, Joel; Manski, Charles F. - 1994
Persistent link: https://www.econbiz.de/10000896408
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The "window problem" in studies of children's attainments : a methodological exploration
An, Jong beom; Haveman, Robert H.; Wolfe, Barbara L. - 1992
Persistent link: https://www.econbiz.de/10000843096
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Minimizing bias in selection on observables estimators when unconfoundness fails
Millimet, Daniel L. (contributor);  … - 2008
Persistent link: https://www.econbiz.de/10003738412
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Quantile and probability curves without crossing
Chernozhukov, Victor (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003454059
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Quantile and probability curves without crossing
Chernozhukov, Victor (contributor);  … - 2007
Persistent link: https://www.econbiz.de/10003460005
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Quantile and probability curves without crossing
Chernozhukov, Victor; Fernández-Val, Iván; Galichon, … - In: Econometrica : journal of the Econometric Society, an … 78 (2010) 3, pp. 1093-1125
Persistent link: https://www.econbiz.de/10003992585
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Fast methods for jackknifing inequality indices
Karoly, Lynn A.; Schröder, Carsten - 2013
The jackknife is a resampling method that uses subsets of the original database by leaving out one observation at a time from the sample. The paper outlines a procedure to obtain jackknife estimates for several inequality indices with only a few passes through the data. The number of passes is...
Persistent link: https://www.econbiz.de/10010226100