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This paper considers inference on functionals of semi/nonparametric conditional moment restrictions with possibly nonsmooth generalized residuals, which include all of the (nonlinear) nonparametric instrumental variables (IV) as special cases. For these models it is often difficult to verify...
Persistent link: https://www.econbiz.de/10013055963
Persistent link: https://www.econbiz.de/10009746488
This paper considers inference on functionals of semi/nonparametric conditional moment restrictions with possibly nonsmooth generalized residuals, which include all of the (nonlinear) nonparametric instrumental variables (IV) as special cases. There models are often illposed and hence it is...
Persistent link: https://www.econbiz.de/10010403489
Persistent link: https://www.econbiz.de/10003671278
This paper considers semiparametric efficient estimation of conditional moment models with possibly nonsmooth residuals in unknown parametric components (Θ) and unknown functions (h)of endogenous variables. We show that: (1) the penalized sieve minimum distance(PSMD) estimator (ˆΘ, ˆh) can...
Persistent link: https://www.econbiz.de/10003869261
Persistent link: https://www.econbiz.de/10003878752
Persistent link: https://www.econbiz.de/10011378588
Persistent link: https://www.econbiz.de/10003723299
This paper greatly extends the results of Ai and Chen (2003) on efficient estimation of semiparametric conditional moment models containing unknown parametric components (theta) and unknown functions of endogenous variables (h). We show that (1) the penalized sieve minimum distance (PSMD)...
Persistent link: https://www.econbiz.de/10012772601
This paper considers semiparametric efficient estimation of conditional moment models with possibly nonsmooth residuals in unknown parametric components (theta) and unknown functions (h) of endogenous variables. We show that: (1) the penalized sieve minimum distance (PSMD) estimator...
Persistent link: https://www.econbiz.de/10012766233