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Identification through heteroskedasticity in heteroskedastic simultaneous equations models (HSEMs) is considered. The … possibility that heteroskedasticity identifies the structural parameters only partially is explicitly allowed for. The … asymptoticproperties of the identified parameters are derived. Moreover, tests for identification through heteroskedasticity are developed …
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In this paper we introduce a family of semi-parametric estimators, suggested by Manski's minimum mean-square distance from independence estimator. We establish the strong consistency, asymptotic normality and consistency of bootstrap estimates of the sampling distribution and the asymptotic...
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No abstract.
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The aim of this study is to highlight the characteristics of corruption and non-academic behaviour in higher education. Using data series recorded at a representative student sample we emphasise causal relationships between certain components of corruption and aspects of academic behaviour in...
Persistent link: https://www.econbiz.de/10010707627
bootstrap variants under conditional heteroskedasticity but only for the latter under unconditional heteroskedasticity. Monte …
Persistent link: https://www.econbiz.de/10010851226
omitted variables. These econometric problems in combination with the heteroskedasticity that plagues the data produces time …
Persistent link: https://www.econbiz.de/10011606020