Q1
i	The model that the researcher tests can be described as
	ln(wage)t=k*ln(wage)(t-1)+ut
	Where ut is a random error variable, normally distributed with mean 0
	If this is a random walk, k=1.
	However, to test that, it is more convenient to express it in difference form, and test
	whether the coeficient(delta) is 0. For empirical reasons, constant is added
	ln(wage)t-ln(wage)(t-1)=a+delta*ln(wage)(t-1)+ut
	Ho:delta=0
	H1:delta<>0
	Yt-Y(t-1)=a+delta Y(t-1) + ut
	if the absolute value of the computed DF statistics exceeds critical value, reject H0
	Unit root tests for variable LNREAL
	The Dickey-Fuller regressions include an intercept but not a trend
	*******************************************************************************
	130 observations used in the estimation of all ADF regressions.
	Sample period from 1960Q4 to 1993Q1
	*******************************************************************************
	Test Statistic LL AIC SBC HQC
	DF -.42894 360.3673 358.3673 355.4998 357.2022
	95% critical value for the augmented Dickey-Fuller statistic = -2.8837
	|DF|<|Critical value|
	Do not reject H0, it can be a random walk.
ii	Ho:delta=0
	H1:delta<>0
	Yt-Y(t-1)=a+delta Y(t-1) + ut
	if the absolute value of the computed DF statistics exceeds critical value, reject H0
	Unit root tests for variable LO
	The Dickey-Fuller regressions include an intercept but not a trend
	*******************************************************************************
	130 observations used in the estimation of all ADF regressions.
	Sample period from 1960Q4 to 1993Q1
	*******************************************************************************
	Test Statistic LL AIC SBC HQC
	DF -1.1729 413.7883 411.7883 408.9208 410.6231
	95% critical value for the augmented Dickey-Fuller statistic = -2.8837
	|DF|<Critical value
	Do not reject H0, it can be a random walk.
iii	Ho:delta=0
	H1:delta<>0