Publication | Closed Access
Two-Stage Least Squares and Econometric Systems Linear in Parameters but Nonlinear in the Endogenous Variables
344
Citations
12
References
1971
Year
Parameter EstimationEngineeringSuch ModelsEconomic GrowthSimultaneous Equation ModelingNonlinear System IdentificationParameter IdentificationEconometric Systems LinearNonlinear ModelModeling And SimulationStatisticsEndogenous VariablesEconomicsTwo-stage Least SquaresNonlinear Signal ProcessingEconometric MethodFunctional Data AnalysisDynamic Economic ModelEconometric ModelReduced Form EquationsMacroeconomicsBusinessEconometricsInstrumental Variables
Abstract It is demonstrated that a variant of the two-stage least squares technique can be used to estimate the parameters of a nonlinear model. To do this, the reduced form equations of such models are derived and discussed; then certain problems particular to the estimation of nonlinear models are considered.
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