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Social threshold regression
被引:2
|作者:
Konstantinidi, Antri
[1
,2
]
Kourtellos, Andros
[1
]
Sun, Yiguo
[3
]
机构:
[1] Univ Cyprus, Dept Econ, POB 537, CY-1678 Nicosia, Cyprus
[2] Minist Finance, Michael Karaoli & Gregori Afxentiou, CY-1439 Nicosia, Cyprus
[3] Univ Guelph, Dept Econ & Finance, Guelph, ON N1G 2W1, Canada
基金:
欧盟地平线“2020”;
关键词:
Social interactions;
Social networks;
Spatial autoregression;
Threshold regression;
SPATIAL AUTOREGRESSIVE MODELS;
INFERENCE;
IDENTIFICATION;
ACHIEVEMENT;
CHOICE;
GMM;
D O I:
10.1016/j.jeconom.2023.02.010
中图分类号:
F [经济];
学科分类号:
02 ;
摘要:
This paper develops a threshold social interaction model which introduces group specific endogenous effects as well as contextual effects into a conventional spatial Durbin model. We propose a two-step GMM estimator for the threshold and regression parameters, derive asymptotic theory, and provide bootstrap inference. Finally, we assess the performance of our methods using a Monte Carlo simulation and provide an empirical application on the role of peer effects on student academic achievement using Add Health data.& COPY; 2023 Elsevier B.V. All rights reserved.
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页码:2057 / 2081
页数:25
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