Full 1FSV Model: Bias Corrected Estimators
Simple and Bias-Corrected Matching Estimators for Average Treatment Effects
... no bias adjustment, and bias-adjusted ...the bias adjustment the regression uses all nine coe higher order ...The bias correction is estimated using only the matched control ...a full ...
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A Bias-Corrected Fixed Effects Estimator in the Dynamic Panel Data Model
... panel model is to imple- ment the instrumental variable (IV) estimation which was first proposed by Anderson and Hsiao (1981, ...first-differenced model, which is free of the individual effects, and ...
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Bias-Corrected Estimation for Spatial Autocorrelation
... the model incurs bias but the estimation of other parameters alone doesn’t or incurs very little ...SAR model considered in this paper the estimation of λ incurs bias but the estimation of β ...
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Bias-reduced estimators of the Weibull tail-coefficient
... The full model (5) allows us to generate bias-corrected estimates b θ n for θ through maximum likelihood estimation of θ, b(log n/k n ) and ρ for each 1 ≤ k n ≤ n − ...regression model ...
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Asymptotic Distribution and Finite-Sample Bias Correction of QML Estimators for Spatial Dependence Model
... SED model, based on the technique of stochastic expansion (Rilstone et ...the bias of a non-linear estimator are the derivatives of the concentrated log-likelihood function and their ...these bias ...
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Bias-corrected estimator for intraclass correlation coefficient in the balanced one-way random effects model
... variance model, although the method can be extended to provide bias-corrected estimators for other types of ...on bias reduction in a balanced data setting, and we plan to investigate ...
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Bias-corrected estimation in dynamic panel data models.
... new bias-corrected estimator for the fixed-effects dynamic panel data model and derives its limiting distribution for finite number of time periods, T, and large number of cross-section units, ...The ...
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Bias-Corrected Bootstrap Inference for Regression Models with Autocorrelated Errors
... regression model when the error term is ...downward bias in the estimation of the AR ...used bias-corrected estimators for the AR(1) coefficient based on the jackknife and bootstrap ...
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Evaluating treatment effectiveness under model misspecification : a comparison of targeted maximum likelihood estimation with bias-corrected matching
... reduce bias, in contrast to the high bias where misspecified fixed parametric models were ...of bias and ...reweighting estimators outperformed BCM under good ...a bias–variance trade-off ...
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Evaluating treatment effectiveness under model misspecification: A comparison of targeted maximum likelihood estimation with bias-corrected matching
... reduce bias, in contrast to the high bias where misspecified fixed parametric models were ...of bias and ...reweighting estimators outperformed BCM under good ...a bias–variance trade-off ...
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Evaluating treatment effectiveness under model misspecification: a comparison of targeted maximum likelihood estimation with bias corrected matching
... reduce bias, in contrast to the high bias where misspecified fixed parametric models were ...of bias and ...reweighting estimators outperformed BCM under good ...a bias–variance trade-off ...
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A Bayesian approach for correcting bias of data envelopment analysis estimators
... correct bias of super- efficiency ...DEA model while in the second stage we specify consistent super-efficiency ...These estimators are introduced in the Bayesian framework to estimate ...
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A symptotic Bias for GMM and GEL Estimators with Estimated Nuisance Parameter
... that bias-corrected EL is higher-order efficient relative to a bias-corrected GMM ...regression model context require a preliminary estimator of a nuisance parameter; see Pagan ...the ...
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A Simulation Based Evaluation of the Bootstrap Bias Corrected Percentile Interval Estimators of the Local False Discovery Rates
... 5 Discussion The main objective of the pilot study was to evaluate bias corrected percentile bootstrap methods used for confidence interval estimation of local false discovery rate. Provided the coverage ...
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A bias-corrected decomposition of the Brier score
... and bias-corrected no- skill curves because the two are visually indistinguishable when n is ...the bias-corrected curve results in a larger positive skill ...the bias- corrected ...
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Bias Corrected Estimates of GED Returns
... certification and high school graduation for this cohort are remarkably similar between the two data sources and across ages. The estimated GED-dropout difference at ages 35 and 38 are no different than those previously ...
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Multiplicative Bias Corrected Nonparametric Smoothers
... the bias of the nonparametric smoothers degrades isotope identi- fication performance for any algorithm that includes peak area or ratios of areas (Casson et ...the bias, but most of them do so at the cost ...
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Discharge simulations performed with a hydrological model using bias corrected regional climate model input
... De Wit (2001) states that simulations performed with a number of Global Climate Models (GCMs) suggest an in- crease in temperature, an increase in winter precipitation and a decrease in summer precipitation in the Meuse ...
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A Comparison of Alternative Bias-Corrections in the Bias-Corrected Bootstrap Test of Mediation
... of bias, the alternatives examined in this study will be applied to data from the Athletes Training and Learning to Avoid Steroids (ATLAS) program (Goldberg et ...
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\(L^{p}\) convergence rate of wavelet estimators for the bias and multiplicative censoring model
... wavelet estimators in L 2 norm for a density function in Besov ...new estimators: a linear one and a nonlinear adaptive one; an upper bound of wavelet estimators on L p risk for a density function in ...
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