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Xi Qu, Ph.D. - Publications

Affiliations: 
2013 Economics Ohio State University, Columbus, Columbus, OH 
Area:
General Economics
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9 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Qu X, Lee L, Yang C. Estimation of a SAR model with endogenous spatial weights constructed by bilateral variables Journal of Econometrics. DOI: 10.1016/J.Jeconom.2020.05.011  0.544
2019 Guo J, Qu X. Spatial interactive effects on housing prices in Shanghai and Beijing Regional Science and Urban Economics. 76: 147-160. DOI: 10.1016/J.Regsciurbeco.2018.07.006  0.459
2018 Yang C, Lee L, Qu X. Tobit models with social interactions: Complete vs incomplete information Regional Science and Urban Economics. 73: 30-50. DOI: 10.1016/J.Regsciurbeco.2018.07.007  0.435
2017 Su L, Qu X. Specification Test for Spatial Autoregressive Models Journal of Business & Economic Statistics. 35: 572-584. DOI: 10.1080/07350015.2015.1102734  0.42
2017 Qu X, Lee L, Yu J. QML estimation of spatial dynamic panel data models with endogenous time varying spatial weights matrices Journal of Econometrics. 197: 173-201. DOI: 10.1016/J.Jeconom.2016.11.004  0.544
2016 Qu X, Wang X, Lee L. Instrumental variable estimation of a spatial dynamic panel model with endogenous spatial weights when T is small Econometrics Journal. 19: 261-290. DOI: 10.1111/Ectj.12069  0.555
2015 Qu X, Lee LF. Estimating a spatial autoregressive model with an endogenous spatial weight matrix Journal of Econometrics. 184: 209-232. DOI: 10.1016/J.Jeconom.2014.08.008  0.538
2013 Qu X, Lee L. Locally most powerful tests for spatial interactions in the simultaneous SAR Tobit model Regional Science and Urban Economics. 43: 307-321. DOI: 10.1016/J.Regsciurbeco.2012.07.010  0.519
2012 Qu X, Lee Lf. LM tests for spatial correlation in spatial models with limited dependent variables Regional Science and Urban Economics. 42: 430-445. DOI: 10.1016/J.Regsciurbeco.2011.11.001  0.525
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