Extreme bounds analysis
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In econometrics, extreme bounds analysis is a type of sensitivity analysis which attempts to determine the most extreme possible estimates for a fixed subset of allowed coefficients and a variable set of linear homogeneous restrictions.[1] It was originally developed by Edward E. Leamer in 1983, and subsequently refined by Clive Granger and Harald Uhlig in 1990.[2] It is a more precise method of measuring specification uncertainty than traditional econometrics because it incorporates prior information, and uses a systematic methodology to examine the fragility of coefficients.[3] It allows researchers to obtain upper and lower limits for the parameter of interest for any possible set of explanatory variables.[4]
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