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Sensitivity of super-efficient data envelopment analysis results to individual decision-making units : an example of surgical workload by specialty

Dexter, Franklin; O'Neill, Liam; Xin, Lei; Ledolter, … - In: Health care management science 11 (2008) 4, pp. 307-318

Persistent link: https://www.econbiz.de/10003778373

Annals journal of econometrics: resampling methods in econometrics

Dufour, Jean-Marie (contributor); Perron, Benoit (contributor) - 2006

Persistent link: https://www.econbiz.de/10003359524

Unit root testing via the stationary bootstrap

Parker, Cameron; Paparoditis, Efstathios; Politis, … - In: Journal of econometrics 133 (2006) 2, pp. 601-638

Persistent link: https://www.econbiz.de/10003359595

Jackknife estimator for tracking error variance of optimal portfolios

Basak, Gopal Krishna; Jagannathan, Ravi; Ma, Tongshu - In: Management science : journal of the Institute for … 55 (2009) 6, pp. 990-1002

Persistent link: https://www.econbiz.de/10003865939

Jackknife empirical likelihood

Jing, Bingyi; Yuan, Junqing; Zhou, Wang - In: Journal of the American Statistical Association : JASA 104 (2009) 487, pp. 1224-1232

Persistent link: https://www.econbiz.de/10003902863

Instrumental variable estimation with heteroskedasticity and many instruments

Hausman, Jerry A.; Newey, Whitney K.; Woutersen, Tiemen; … - 2010

This paper gives a relatively simple, well behaved solution to the problem of many instruments in heteroskedastic data. Such settings are common in microeconometric applications where many instruments are used to improve efficiency and allowance for heteroskedasticity is generally important. The...