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Let's get LADE : robust estimation of semiparametric multiplicative volatility models
Koo, Bonsoo; Linton, Oliver - 2013
We investigate a model in which we connect slowly time varying unconditional long-run volatility with short …-run conditional volatility whose representation is given as a semi-strong GARCH (1,1) process with heavy tailed errors. We focus on … robust estimation of both long-run and short-run volatilities. Our estimation is semiparametric since the long-run volatility …
Persistent link: https://www.econbiz.de/10009719116
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Estimation of stochastic volatility models by nonparametric filtering
Kanaya, Shin; Kristensen, Dennis - 2015
A two-step estimation method of stochastic volatility models is proposed. In the first step, we nonparametrically … estimate the (unobserved) instantaneous volatility process. In the second step, standard estimation methods for fully observed … diffusion processes are employed, but with the filtered/estimated volatility process replacing the latent process. Our …
Persistent link: https://www.econbiz.de/10010487528
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Estimation with mixed data frequencies : a bias-correction approach
Ghosh, Anisha; Linton, Oliver - 2019
We propose a solution to the measurement error problem that plagues the estimation of the relation between the expected return of the stock market and its conditional variance due to the latency of these conditional moments. We use intra-period returns to construct a nonparametric proxy for the...
Persistent link: https://www.econbiz.de/10012128650
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More on confidence intervals for partially identified parameters
Stoye, Jörg (contributor) - 2008
This paper extends Imbens and Manski’s (2004) analysis of confidence intervals for interval identified parameters. For their final result, Imbens and Manski implicitly assume superefficient estimation of a nuisance parameter. This appears to have gone unnoticed before, and it limits the...
Persistent link: https://www.econbiz.de/10003739665
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Estimation of nonparametric conditional moment models with possibly nonsmooth moments
Chen, Xiaohong (contributor); Pouzo, Demian (contributor) - 2008
This paper studies nonparametric estimation of conditional moment models in which the residual functions could be nonsmooth with respect to the unknown functions of endogenous variables. It is a problem of nonparametric nonlinear instrumental variables (IV) estimation, and a difficult nonlinear...
Persistent link: https://www.econbiz.de/10003739667
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Nonparametric estimation of a polarization measure
Anderson, Gordon; Linton, Oliver; Whang, Yoon-jae - 2009
This paper develops methodology for nonparametric estimation of a polarization measure due to Anderson (2004) and Anderson, Ge, and Leo (2006) based on kernel estimation techniques. We give the asymptotic distribution theory of our estimator, which in some cases is nonstandard due to a boundary...
Persistent link: https://www.econbiz.de/10003847572
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Identification region of the potential outcome distributions under instrument independence
Kitagawa, Toru - 2009
This paper examines identification power of the instrument exogeneity assumption in the treatment effect model. We derive the identification region: The set of potential outcome distributions that are compatible with data and the model restriction. The model restrictions whose identifying power...
Persistent link: https://www.econbiz.de/10003899093
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Uniform confidence bands for functions estimated nonparametrically with instrumental variables
Horowitz, Joel; Lee, Sokbae - 2009
This paper is concerned with developing uniform confidence bands for functions estimated nonparametrically with instrumental variables. We show that a sieve nonparametric instrumental variables estimator is pointwise asymptotically normally distributed. The asymptotic normality result holds in...
Persistent link: https://www.econbiz.de/10003869256
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Intersection bounds : estimation and inference
Chernozhukov, Victor; Lee, Sokbae; Rosen, Adam M. - 2009
We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or equivalently, the value of a linear programming problem with a potentially infinite constraint set. Our approach is...
Persistent link: https://www.econbiz.de/10003869258
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Efficient estimation of semiparametric conditional moment models with possibly nonsmooth residuals
Chen, Xiaohong; Pouzo, Demian - 2009
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