About: First-difference estimator

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In statistics and econometrics, the first-difference (FD) estimator is an estimator used to address the problem of omitted variables with panel data. It is consistent under the assumptions of the fixed effects model. In certain situations it can be more efficient than the standard fixed effects (or "within") estimator. The estimator requires data on a dependent variable, , and independent variables, , for a set of individual units and time periods . The estimator is obtained by running a pooled ordinary least squares (OLS) estimation for a regression of on .

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  • In statistics and econometrics, the first-difference (FD) estimator is an estimator used to address the problem of omitted variables with panel data. It is consistent under the assumptions of the fixed effects model. In certain situations it can be more efficient than the standard fixed effects (or "within") estimator. The estimator requires data on a dependent variable, , and independent variables, , for a set of individual units and time periods . The estimator is obtained by running a pooled ordinary least squares (OLS) estimation for a regression of on . (en)
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  • In statistics and econometrics, the first-difference (FD) estimator is an estimator used to address the problem of omitted variables with panel data. It is consistent under the assumptions of the fixed effects model. In certain situations it can be more efficient than the standard fixed effects (or "within") estimator. The estimator requires data on a dependent variable, , and independent variables, , for a set of individual units and time periods . The estimator is obtained by running a pooled ordinary least squares (OLS) estimation for a regression of on . (en)
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  • First-difference estimator (en)
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