Posted: March 18th, 2016

spurious and predictive regression and bias correction techniques spurious and predictive regression and bias correction techniques

In general: The bias arise in the context of
Time series
dynamic and correlated covariates (x_t is a time series and its past may affect y_t, or when x_t may be a correlated vector and one of them may affect future y_t)

generalisation to panel/longitudinal data

techniques: direct/analytic approach for bias removal

nonparametric: bootstrap and jackknife

1- Introduction 2- Background of the Study 3- Results required 4- Aims and Objectives