Robustness checks with fixed effects estimator
On the Robustness of Robustness Checks of the Environmental Kuznets Curve
... group estimator that allows for slope heterogeneity in the short run but imposes restrictions in the long run and test their ...time effects between a pair of cross ...
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A Bias-Corrected Fixed Effects Estimator in the Dynamic Panel Data Model
... individual effects, and estimating the autoregressive coefficient using the lagged dependent variable, either in the form of level or first-differenced, as the ...IV estimator is consistent under n → ∞ or T ...
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State Dependence and Heterogeneity in Health Using a Bias Corrected Fixed Effects Estimator
... An important part of the research in microeconometrics has been concerned with …nding a solution to this problem by developing bias-adjusted methods. Some examples are Hahn and Newey (2004), Hahn and Kuersteiner (2004), ...
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ON THE ROBUSTNESS OF FIXED EFFECTS AND RELATED ESTIMATORS IN CORRELATED RANDOM COEFFICIENT PANEL DATA MODELS
... unobserved effects model, generalizing a simple example due to Hahn ...the fixed effects estimator generally rules out aggregate time effects in index models, I also propose modified ...
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A simulation study of the robustness of the least median of squares estimator of slope in a regression through the origin model
... the effects of outliers and inaccurate in their ...M estimator developed by Huber (1973), which is a generalization of maximum likelihood, are generally more robust with respect to outliers than least ...
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A smoothed maximum score estimator for the binary choice panel data model with individual fixed effects and applications to labour force participation
... The estimator has also been extended to the case of more than two periods and an unbalanced panel under the assumption that there is no selectivity or attrition ...score estimator converges more rapidly ...
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Effects and Artifacts: Robustness Analysis and the Production Process
... The results of an experiment are always the outcome of the object system interacting with an artificial environment, and therefore it is always necessary to filter out the component in the results that tells us something ...
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On the fixed effects vector decomposition
... the Fixed-Effects Vector Decomposition Abstract: This paper analyses the properties of the fixed-effects vector decompo- sition estimator, an emerging and popular technique for ...
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The robustness of seismic attenuation measurements using fixed- and variable-window time-frequency transforms
... Because attenuation increases with traveltime, the relationship between A and ⌬t is expected to be linear with a negative slope. In re- ality, the measurements fluctuate about this trend because of noise in the data, ...
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Spatial Fixed Effects and Spatial Dependence
... spatial fixed effects ...the fixed effects estimator does not alleviate the variance-increasing influence of the error spatial autocorrelation when the latter is based on ...the ...
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Likelihood inference in an autoregression with fixed effects
... linear fixed-effect model yield equivalent ...the fixed effects have been integrated out using a new data-independent bias- reducing ...least-squares estimator, as proposed by Bun and Carree ...
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Likelihood inference in an Autoregression with fixed effects
... GEERT DHAENE 1 and KOEN JOCHMANS 2 ⇤ 1 Department of Economics, KU Leuven, Naamsestraat 69, 3000 Leuven, Belgium. 2 Department of Economics, Sciences Po, 28 rue des Saint-P`eres, 75007 Paris, France. We calculate the ...
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Efficacy of a numerical value of a fixed effect estimator in stochastic frontier analysis as an indicator of hospital production structure
... hospital-specific fixed effects were further regressed using an ordinary least-squares linear model of the location and the specific function of each hospital in the community care ...
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GMM estimation of Spatial Panels with Fixed Effects
... GMM estimator has good small sample properties, when compared to the performance of the quasi-ML, especially when T is relatively small, and when the spatial parameter is close to ...
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Robustness of a semiparametric estimator of a copula
... 1 Introduction There has been a growing interest in modelling multivariate observations using flexible func- tional forms for distribution functions and in estimating parameters that capture dependence between the ...
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The Gaussian rank correlation estimator: Robustness properties.
... MCD 0.81 0.80 0.84 0.84 0.82 0.79 0.81 ric contamination than the other robust estimators we considered, but remains much more robust than the classical estimator. Positive semidefiniteness: The consistent ...
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Pipeline Architecture MLCP Estimator for Fixed Width Booth Multiplier
... (MLCP) estimator and derives a closed form for different bit widths L and column information ...MLCP estimator substantially reduces simulation time and easily adjusts accuracy based on mathematical ...
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Gene Genealogies Within a Fixed Pedigree, and the Robustness of Kingman’s Coalescent
... Although our simple chi-square test may not be the most powerful test, the fact that coalescence within pedigrees under the standard Wright–Fisher model leads only to nom- inal rejection[r] ...
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The consistency of estimator under fixed design regression model with NQD errors
... Abstract In this article, based on NQD samples, we investigate the fixed design nonparametric regression model, i.e. Y nk = g(x nk ) + ε nk for 1 ≤ k ≤ n, where ε nk are pairwise NQD random errors, x nk are fixed design ...
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A fixed count sampling estimator of stem density based on a survival function
... From a modelling perspective, this study suggests that improvements in FCS estimators must come from not only in modelling the distribution of dis- tances but also the within-site variance in local den- sity. A direct ...
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