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Two-stage-least-squares (2SLS) estimates are biased towards OLS estimates. This bias grows with the degree of over-identification and can generate highly misleading results. In this paper we propose two simple alternatives to 2SLS and limited-information-maximum-likelihood (LIML) estimators for...
Persistent link: https://www.econbiz.de/10005779069
Instrumental Variables (IV) estimates tend to be biased in the same direction as Ordinary Least Squares (OLS) in finite samples if the instruments are weak. To address this problem we propose a new IV estimator which we call Split Sample Instrumental Variables (SSIV). SSIV works as follows: we...
Persistent link: https://www.econbiz.de/10005779073
This paper examines evidence on the effect of class size on student achievement. First, it is shown that results of quantitative summaries of the literature, such as Hanushek, depend critically on whether studies are accorded equal weight. Huanushek summarizes 277 estimates extracted from 59...
Persistent link: https://www.econbiz.de/10010720725
This paper examines evidence on the effect of class size on student achievement. First, it is shown that results of quantitative summaries of the literature, such as Hanushek, depend critically on whether studies are accorded equal weight. Huanushek summarizes 277 estimates extracted from 59...
Persistent link: https://www.econbiz.de/10005435992