Term
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Definition
| the difference between the probability limit of an estimator and the parameter value |
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Term
| asymptotic confidence interval |
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Definition
| a confidence interval that is approximately valid in large sample sizes |
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Term
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Definition
| the sampling distribution of a properly normalized estimmator converges to the standard normal distributions |
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Term
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Definition
| properties of estimators and test statistics that apply when the sample size grows without bounds |
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Term
| asymptotic standard error |
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Definition
| a standard error that is valid in large samples |
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Term
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Definition
| a t statistic that has an approximate standard normal distribution in large samples |
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Term
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Definition
| the square of the value by which we must divide an estimator in order to obtain an asymptotic standard normal distribution |
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Term
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Definition
| for consistent estimators with asymptotically normal distributions, the estimator with the smallest aymptotic variance |
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Term
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Definition
| a regression used to compute a test statistic - such as the test statistics for heteroskedasicity and serial correlation - or any other regression that does not estimate the model of primary interest |
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Term
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Definition
| an estimator converges in probability to the correct population value as the sample size grows |
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Term
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Definition
| the difference between the probability limit of an estimator and the parameter value |
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