A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is
The primary advantage of panel over cross-sectional regression stems from its control for the effects of omitted variables or "unobserved heterogeneity". However, panel regression is based on the strong assumptions that measurement errors are independently identically ( i.i.d.) and normal. These assumptions are evaded by design-based regression, which dispenses with measurement errors altogether by regarding the response as a fixed real number. The present paper establishes a middle grounddoi:10.6339/jds.2009.07(2).459 fatcat:qh2oqtefyrcfjajbjrfsfeit2e