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one outlying observationcan causebias in the OLS estimates
Endogeneitycausesinconsistency of the usual OLS estimates
A few outliers ( stray observations generated by a different processcan strongly influencethe OLS estimates
longitudinal strategies of book top 10 areto preventmultivariate estimates
one or several observations(passive) are influenced byOLS estimates
Misspecification of these groupswill createbias in the OLS estimates
These slightly high correlationsmight eventually causeproblems of multicollinearity in the regression estimates
endogenous variableswill resultin inconsistent OLS estimates
the standard deviationcausesthe skewness in PWL estimates
how likely the most likely outcome really isto influenceSPERT ’s probabilistic estimates
in “ incorrect ” signsoccasionally resultingin “ incorrect ” signs
correcting errors(passive) caused bycorrecting errors
to biased results for the efficiency parameterwould leadto biased results for the efficiency parameter
to bias estimates due to endogenous nature of the efficiency scorecould ... leadto bias estimates due to endogenous nature of the efficiency score
to the underestimation of the impact of aid flows on economic growth as they do not correct the endogeneity biasto leadto the underestimation of the impact of aid flows on economic growth as they do not correct the endogeneity bias
to take account of the serial correlation in based on the Bartlett kerneldesignedto take account of the serial correlation in based on the Bartlett kernel
to major problemscan leadto major problems
to graduated central mortality rates in age – period – cohort effects : defined in the rectangular DEBFleadingto graduated central mortality rates in age – period – cohort effects : defined in the rectangular DEBF
to above order items ( ICUscomposedto above order items ( ICUs
1 million unique instances of the OS each monthcreate1 million unique instances of the OS each month