Consider the following distributed lag model $Y _ { t } = \beta _ { 0 } + \beta _ { 1 } X _ { t } + \beta _ { 2 } X _ { t - 1 } + u _ { t }$, where $u _ { t } = \phi _ { 1 } u _ { t - 1 } + \tilde { u } _ { t } , \tilde { u } _ { t }$ is serially uncorrelated, and $X$ is strictly exogenous. (a)How many parameters are there to be estimated between the two equations?

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The Answer of Consider the following distributed lag model $Y _ { t } = \beta _ { 0 } + \beta _ { 1 } X _ { t } + \beta _ { 2 } X _ { t - 1 } + u _ { t }$, where $u _ { t } = \phi _ { 1 } u _ { t - 1 } + \tilde { u } _ { t } , \tilde { u } _ { t }$ is serially uncorrelated, and $X$ is strictly exogenous. (a)How many parameters are there to be estimated between the two equations?

Consider the Following Distributed Lag Model Yt=β0+β1Xt+β2Xt−1+utY _ { t } = \beta _ { 0 } + \beta _ { 1 } X _ { t } + \beta _ { 2 } X _ { t - 1 } + u _ { t }Yt​=β0​+β1​Xt​+β2​Xt−1​+ut​

Consider the Following Distributed Lag Model $Y _ { t } = \beta _ { 0 } + \beta _ { 1 } X _ { t } + \beta _ { 2 } X _ { t - 1 } + u _ { t }$