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Consider a dummy-variable regression model for the annual salary of school teachers in three different counties in southern California: Orange county (OC), LA county (LAC),

Consider a dummy-variable regression model for the annual salary of school teachers in three different counties in southern California: Orange county (OC), LA county (LAC), and San Diego county (SDC). Let annual salaries of school teachers in these counties depend on years of experience and years of education. Assume that Yiis annual salary, Xiis years of years of experience, and Ziis the years of higher education, D1i= 1 for LAC and D1i=0 for SDC and OC, while D2i=1 for SDC and D2i=0 for LAC and OC.

Consider the following dummy variable regression model that allows us to find out school teachers in which county have the highest, second highest, and lowest annual salary when both years of experience and years of education are zero.

Yi= b1+ b2Xi+ b3Zi+ b4D1i+ b5D2i+ei

(i)Write down the estimated/fitted salary equation of the school teachers in each county.

(ii) State the condition/conditions under which school teachers in SDC will have the highest salary when both years of higher education and years of experience are zero

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