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Author:

Luo, Guowang (Luo, Guowang.) | Wu, Mixia (Wu, Mixia.) (Scholars:吴密霞) | Xu, Liwen (Xu, Liwen.)

Indexed by:

SSCI Scopus SCIE

Abstract:

In this paper, an IPW-based robust estimator is developed for the spatial autoregressive model with response missing at random. Its consistency and asymptotical normality are proved and its finite-sample performance is investigated by simulations. (C) 2021 Elsevier B.V. All rights reserved.

Keyword:

Spatial data Propensity score Autoregressive model Missing data Instrumental variable

Author Community:

  • [ 1 ] [Luo, Guowang]Beijing Univ Technol, Coll Stat & Data Sci, Fac Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Wu, Mixia]Beijing Univ Technol, Coll Stat & Data Sci, Fac Sci, Beijing 100124, Peoples R China
  • [ 3 ] [Xu, Liwen]North China Univ Technol, Coll Sci, Beijing 100042, Peoples R China

Reprint Author's Address:

  • 吴密霞

    [Wu, Mixia]Beijing Univ Technol, Coll Stat & Data Sci, Fac Sci, Beijing 100124, Peoples R China

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Source :

STATISTICS & PROBABILITY LETTERS

ISSN: 0167-7152

Year: 2021

Volume: 172

0 . 8 0 0

JCR@2022

ESI Discipline: MATHEMATICS;

ESI HC Threshold:31

JCR Journal Grade:4

Cited Count:

WoS CC Cited Count: 3

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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