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Xi Qu

Datos Biográficos

ID5868090
NOMBREXi Qu
NOMBRESXi
APELLIDOQu
FIRMAQU X
AFILIACIONESShanghai Jiao Tong University
ORCID0000-0002-5747-3031
VERIFICADOSí
TOTAL DE OBRAS6
TOTAL DE CITAS8
TOTAL COMO AUTOR6
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2017
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H2
  • Nonlinear Spatial Dynamic Panel Data Models with Endogenous Dominant Units

    Jiajun Zhang, Chuanmin Zhao et al.•ARTICLE•Journal of Business and Economic…•2025

    This article develops a nonlinear spatial dynamic panel data model with one particularly interesting application to a structural interaction model for share data. To account for effects from dominant (popular) units, the spatial weights matrix in our model can allow for unbounded column sums. To account for heterogeneity, our model includes two-way fixed effects and heteroscedastic errors. We further consider the potential endogeneity of the spat…

  • Understanding local government debt in China

    Open Access•Xi Qu, Zhiwei Xu et al.•ARTICLE•Regional Science and Urban…•2023

  • Place-based policies, rural employment, and intra-household resources allocation

    Open Access•Chuanmin Zhao, Xi Qu•ARTICLE•Journal of Development Economics•2023•Citada por: 3•Referencias: 8

  • Competition in household human capital investments

    Open Access•Juncong Guo, Xi Qu•ARTICLE•Journal of Development Economics•2022•Citada por: 3•Referencias: 9

  • Social Networks with Unobserved Links

    Arthur Lewbel, Xi Qu et al.•ARTICLE•Journal of Political Economy•2022•Citada por: 2•Referencias: 5

    We point-identify and estimate linear social network models without observing any network links. The required data consist of many small networks of individuals, such as classrooms or villages, with individuals who are each observed only once. We apply our estimator to data from Tennessee's Project STAR (Student-Teacher Achievement Ratio). Without observing the latent network in each classroom, we identify and estimate peer and contextual effects…

  • Specification Test for Spatial Autoregressive Models

    Liangjun Su, Xi Qu•ARTICLE•Journal of Business and Economic…•2017

    This article considers a simple test for the correct specification of linear spatial autoregressive models, assuming that the choice of the weight matrix Wn is true. We derive the limiting distributions of the test under the null hypothesis of correct specification and a sequence of local alternatives. We show that the test is free of nuisance parameters asymptotically under the null and prove the consistency of our test. To improve the finite sa…

  • Place-based policies, rural employment, and intra-household resources allocation

    Open Access•Chuanmin Zhao, Xi Qu•ARTICLE•Journal of Development Economics•2023•Citada por: 3•Referencias: 8

  • Competition in household human capital investments

    Open Access•Juncong Guo, Xi Qu•ARTICLE•Journal of Development Economics•2022•Citada por: 3•Referencias: 9

  • Social Networks with Unobserved Links

    Arthur Lewbel, Xi Qu et al.•ARTICLE•Journal of Political Economy•2022•Citada por: 2•Referencias: 5

    We point-identify and estimate linear social network models without observing any network links. The required data consist of many small networks of individuals, such as classrooms or villages, with individuals who are each observed only once. We apply our estimator to data from Tennessee's Project STAR (Student-Teacher Achievement Ratio). Without observing the latent network in each classroom, we identify and estimate peer and contextual effects…

  • Specification Test for Spatial Autoregressive Models

    Liangjun Su, Xi Qu•ARTICLE•Journal of Business and Economic…•2017

    This article considers a simple test for the correct specification of linear spatial autoregressive models, assuming that the choice of the weight matrix Wn is true. We derive the limiting distributions of the test under the null hypothesis of correct specification and a sequence of local alternatives. We show that the test is free of nuisance parameters asymptotically under the null and prove the consistency of our test. To improve the finite sa…

  • Competition in household human capital investments

    Open Access•Juncong Guo, Xi Qu•ARTICLE•Journal of Development Economics•2022•Citada por: 3•Referencias: 9

  • Social Networks with Unobserved Links

    Arthur Lewbel, Xi Qu et al.•ARTICLE•Journal of Political Economy•2022•Citada por: 2•Referencias: 5

    We point-identify and estimate linear social network models without observing any network links. The required data consist of many small networks of individuals, such as classrooms or villages, with individuals who are each observed only once. We apply our estimator to data from Tennessee's Project STAR (Student-Teacher Achievement Ratio). Without observing the latent network in each classroom, we identify and estimate peer and contextual effects…

  • Understanding local government debt in China

    Open Access•Xi Qu, Zhiwei Xu et al.•ARTICLE•Regional Science and Urban…•2023

  • Place-based policies, rural employment, and intra-household resources allocation

    Open Access•Chuanmin Zhao, Xi Qu•ARTICLE•Journal of Development Economics•2023•Citada por: 3•Referencias: 8

  • Nonlinear Spatial Dynamic Panel Data Models with Endogenous Dominant Units

    Jiajun Zhang, Chuanmin Zhao et al.•ARTICLE•Journal of Business and Economic…•2025

    This article develops a nonlinear spatial dynamic panel data model with one particularly interesting application to a structural interaction model for share data. To account for effects from dominant (popular) units, the spatial weights matrix in our model can allow for unbounded column sums. To account for heterogeneity, our model includes two-way fixed effects and heteroscedastic errors. We further consider the potential endogeneity of the spat…

Econometrics (3 obras) · Economics (3 obras) · Mathematics (3 obras) · Statistics (3 obras) · Applied Mathematics (2 obras) · Asymptotic distribution (2 obras) · Computer Science (2 obras) · Estimator (2 obras) · Gender, Labor, and Family Dynamics (2 obras) · Geography (2 obras)

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