Lecture 16. Heteroskedasticity  In the CLR model  Yi = ?1 X i1 + ? 2 X i 2 + + ? K X iK + ui , i = 1, , n     hotshot of the supposals was Assumption 3 (Homoskedasticity) All ui  s  digest the  equivalent variance, i.e. for  i = 1, , n  Var (ui ) = E (ui2 ) = ? 2    When is this a bad assumption? If omitted variables are  non correlated with the included variables (assumption 1), but have a   polar order of magnitude for (groups of) observations.  Cross-sectional selective information on units of different size, e.g. states, cities. Omitted variables may be larger for   to a greater extent than  inhabited states or cities.  Cross-sectional data on units at different points in time. Omitted variables may be more  outstanding at some points in time.  Cross-sectional data on units that  typesetters case different restrictions on their behavior. For instance, high income individuals have more  politeness in their spending.    Example of second case:  likeness  amongst income and  comme   nce. Data on 222 university professors for 7 schools (UC Berkeley, UCLA, UCSD, Illinois, Stanford, Michigan, Virginia) See graphs  broadside    construct in income (in 1000$) increases with  spirt experience  Variation in sexual relation income first increases and then decreases Is consistent because income is higher(prenominal) if more work experience    200  Salary (1000$) and work experience (long time since Ph.D.

)    cl SALARY    100    50    0 0 10 20 30 40 50     historic period    5.5  Log(Salary) and work experience (years since Ph.D.)    5.0 LNSALARY    4.5    4.0    3.5 0 10 20 30 40 50    YEARS    Note t   hat  enter  variation reduces  chance variab!   le in income with experience. Why? If variation in income increases proportionally with income level, then variation in relative income does not change with income level. Example Income with work experience 4 years: 30,40,60 with  direct difference 10, 30, relative difference 33%,100% and log difference 0.29, 0.69 (all relative to lowest) Income at work experience 8 years: 90,120, 180 with absolute difference 30, 90, relative difference...If you  trust to get a  safe essay, order it on our website: 
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