SIMULTANEOUS EQUATIONS MODELS WITH HIGHER-ORDER SPATIAL OR SOCIAL NETWORK INTERACTIONS

dc.contributor.authorDrukker, David M.
dc.contributor.authorEgger, Peter H.
dc.contributor.authorPrucha, Ingmar R.
dc.date.accessioned2023-09-18T18:00:42Z
dc.date.available2023-09-18T18:00:42Z
dc.date.issued2022-03-28
dc.description.abstractThis paper develops an estimation methodology for network data generated from a system of simultaneous equations, which allows for network interdependencies via spatial lags in the endogenous and exogenous variables, as well as in the disturbances. By allowing for higher-order spatial lags, our specification provides important flexibility in modeling network interactions. The estimation methodology builds, among others, on the two-step generalized method of moments estimation approach introduced in Kelejian and Prucha (1998, Journal of Real Estate Finance and Economics 17, 99–121; 1999, International Economic Review 40, 509–533; 2004, Journal of Econometrics 118, 27–50). The paper considers limited and full information estimators, and one- and two-step estimators, and establishes their asymptotic properties. In contrast to some of the earlier two-step estimation literature, our asymptotic results facilitate joint tests for the absence of all forms of network spillovers.
dc.description.urihttps://doi.org/10.1017/S026646662200007X
dc.identifierhttps://doi.org/10.13016/dspace/zpxb-9olu
dc.identifier.citationDrukker, D., Egger, P., & Prucha, I. (2022). SIMULTANEOUS EQUATIONS MODELS WITH HIGHER-ORDER SPATIAL OR SOCIAL NETWORK INTERACTIONS. Econometric Theory, 1-48.
dc.identifier.urihttp://hdl.handle.net/1903/30527
dc.language.isoen_US
dc.publisherCambridge University Press
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtEconomicsen_us
dc.relation.isAvailableAtCollege of Behavioral and Social Sciencesen_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.titleSIMULTANEOUS EQUATIONS MODELS WITH HIGHER-ORDER SPATIAL OR SOCIAL NETWORK INTERACTIONS
dc.typeArticle
local.equitableAccessSubmissionNo

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