000 01577nam a22002657a 4500
003 ZW-GwMSU
005 20240325084132.0
008 240325b |||||||| |||| 00| 0 eng d
022 _a02664666
040 _aMSU
_bEnglish
_cMSU
_erda
050 0 0 _aHB139.T52 ECO
100 1 _aAndrews, Donald W. K.
_eauthor
245 1 0 _aValidity of subsampling and "plug-in asymptotic" inference for parameters defined by moment inequalities
_ccreated by Donald W. K. Andrews and Patrik Guggenberger
264 1 _aCambridge:
_bCambridge University Press,
_c2009.
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
440 _aEconomic theory
_vVolume 669, number 709
520 3 _aThis paper considers inference for parameters defined by moment inequalities and equalities. The parameters need not be identified. For a specified class of test statistics, this paper establishes the uniform asymptotic validity of subsampling, m out of n bootstrap, and “plug-in asymptotic” tests and confidence intervals for such parameters. Establishing uniform asymptotic validity is crucial in moment inequality problems because the pointwise asymptotic distributions of the test statistics of interest have discontinuities as functions of the true distribution that generates the observations.
650 _aEstimation theory
_vScientific modelling
_xStatistical inference
650 _aMethod of moments
700 1 _aGuggenberger, Patrik
_eco author
856 _uhttps://doi.org/10.1017/S0266466608090257
942 _2lcc
_cJA
999 _c164524
_d164524