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Results are presented for approximating the moments of least squares estimators, particularly those of the OLS estimator, and the methodology is illustrated using a simple dynamic model.
Persistent link: https://www.econbiz.de/10011113794
Research on third parties’ conflict management has traditionally proposed a stark dichotomy between neutral mediators and non-neutral military joiners. Recent studies have blurred this dichotomy but have not investigated joiners’ use of techniques other than military action. Using...
Persistent link: https://www.econbiz.de/10011165859
classroom characteristics in the value-added model is sufficient to eliminate potential bias resulting from the sorting of … deviation of classroom achievement—may reduce bias for middle school math teachers, whereas track indicators help for high …
Persistent link: https://www.econbiz.de/10011165990
In this paper we propose an asymptotically equivalent single-step alternative to the two-step partially linear model estimator in Robinson (1988). The estimator not only has the potential to decrease computing time dramatically, it shows substantial finite sample gains in Monte Carlo simulations.
Persistent link: https://www.econbiz.de/10011166142
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In this paper we show that the conditional variance of the GARCH(1,1) model is a measure that usually overstimates the magnitude of volatility in time series.
Persistent link: https://www.econbiz.de/10005396379
This papers studies and compares the asymptotic bias of GMM and generalized empirical likelihood (GEL) estimators in … offers much reduced mean and median bias, root mean squared error and mean absolute error, as compared with two-step GMM and … other GEL methods. Both analytical and bootstrap bias-adjusted two-step GMM estima-tors are compared. Analytical bias …
Persistent link: https://www.econbiz.de/10005398695
We investigate the OLS-based estimator s2 of the disturbance variance in the standard linear regression model with cross section data when the disturbances are homoskedastic, but spatially correlated. For the most popular model of spatially autoregressive disturbances, we show that s2 can be...
Persistent link: https://www.econbiz.de/10005549263