Suppose that we want to evaluate the effect of several variables onannual saving and that we have a panel data set on individuals collected in January1990 and January 1992. If we include a year dummy variable for 1992 and use firstdifferencing, can we also include age in the original model? Explain.

Following are the responses to the given question:

Explanation:

Note that others will therefore increase his age by two percent from 2009 to 1992.

And if the trend is running:

We're breaking MLR.3 as it's the same for all -> No different from a permanent designer cannot immediately distinguish the influence of age from the aggregate time effect because age changes per person by the same amount.

well based on 99% of parents have dont something wrong to there kids mabey even stole money from you so based on maney inccedent i would choose guilt

answer; /// i believe that the correct answer is (b) money set aside for emergency repairs;