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If the spherical errors assumption fails to hold, there are two problems with OLS. There is a better estimator available—one that is still unbiased, but is less sensitive to sampling variation (i.e., has lower standard errors). The formula we use to estimate the standard errors of OLS is invalid. Our confidence intervals and hypothesis tests will (usually) be overconfident, overstating the precision of our results. Spherical errors fails when we have either or both of: Heteroskedasticity and Autocorrelation
In 2023, Indian farmers were implicitly taxed a significant amount through export restrictions and price policies. What was this estimated tax amount?
Which organization approved Zurich Insurance's acquisition of a 70% stake in Kotak General?
Which state has built 650,000 rural homes in the last decade as per the PMAYGrameen scheme update?
What is India’s projected share in global consumption at purchasing power parity (PPP) by 2050?
What was the theme of the UNAIDS report released in 2024?
Dhap dance, a classical folk dance, is performed by which tribal community?
According to the latest data released by the Reserve Bank of India, the gross foreign direct investment (FDI) flows witnessed a decline of nearly 16 per...
Which Australian fintech company acquired Tata Communications Payment Solutions Ltd (TCPSL)?