There two more files I need to attach

Problem 2.21
The data file stockton5_small contains observations on 1200 houses sold in Stockton, California,
during 1996–1998. Scale the variable SPRICE to units of $1000, by dividing it by 1000.
Question 5:
Estimate the linear model . (rounded to 2 decimals)
gen Sprice= sprice/1000
Question 6:
How do you Interpret the estimated coefficients in Question 5? (rounded to 2 decimals)
Question 7:
What’s the prediction of the selling price of a house that is 30 years old based on the regression
results in Question 5? (rounded to 2 decimals)
Question 8:
Estimate the log-linear model . (rounded to 4 decimals)
Question 9:
How do you interpret the estimated slope coefficient in Question 8? (rounded to 2 decimals)
Problem 2.22
A longitudinal experiment was conducted in Tennessee beginning in 1985 and ending in 1989. A
j − f = j + j( m − f) + j
y = β1 + β2x + e
y = rj − rj x = rm − rf β1 = αj β2 = βj
SPRICE = δ1 + δ2AGE + e
ln(SPRICE) = θ1 + θ2AGE + e
single cohort of students was followed from kindergarten through third grade. In the experiment
children were randomly assigned within schools into three types of classes: small classes with
13–17 students, regular-sized classes with 22–25 students, and regular-sized classes with a fulltime teacher aide to assist the teacher. Student scores on achievement tests were recorded as
well as some information about the students, teachers, and schools. Data for the kindergarten
classes are contained in the data file star5_small.
Question 10:
Using children who are in either a regular-sized class or a small class, estimate the regression
model explaining students’ combined aptitude scores as a function of class size,
(rounded to 2 decimals)
(Hint: subset data for either regular=1 or small=1)
Question 11:
Interpret the estimates from Question 10. (rounded to 2 decimals)
Question 12:
Based on the regression result from Question 10, what do you conclude about the effect of
class size on learning? (rounded to 2 decimals)
Question 13:
Using children who are in either a regular-sized class or a small class, estimate the regression
model explaining students’ combined aptitude scores as a function of class size,
(rounded to 2 decimals)
(Hint: subset data for either regular=1 or small=1)
Problem 2.28
How much does education affect wage rates? The data file cps5_small contains 1200
observations on hourly wage rates, education, and other variables from the 2013 Current
Population Survey (CPS).
Question 14:
Estimate the linear regression . (rounded to 2 decimals)
Question 15:
Estimate the regression in Question 14 but only for females. (rounded to 2 decimals)
Question 16:
Interprete the coefficients from Question 15. (rounded to 2 decimals)
Question 17:
Estimate the regression in Question 14 but only for males. (rounded to 2 decimals)
Question 18:
Interprete the coefficients from Question 17. (rounded to 2 decimals)
Problem 2.29
How much does education affect wage rates? The data file cps5_small contains 1200
observations on hourly wage rates, education, and other variables from the 2013 Current
Population Survey (CPS).
Question 19:
Obtain the OLS estimates from the log-linear regression model
(rounded to 4 decimals)
(Hint: create a variable log_wage = ln(wage))
Question 20:
Interpret the slope from Question 19. (rounded to 2 decimals
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_cons -16.60 2.78 -5.96 0.00 -22.07 -11.13
educ 2.66 0.19 14.17 0.00 2.29 3.03

wage Coef. Std. Err. t P>|t| [95% Conf. Interval]

Total 96199.3288 527 182.541421 Root MSE = 11.504
Adj R-squared = 0.2750
Residual 69610.5212 526 132.339394 R-squared = 0.2764
Model 26588.8075 1 26588.8075 Prob > F = 0.0000
F( 1, 526) = 200.91
Source SS df MS Number of obs = 528
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educ 2.38 0.19 12.65 0.00 2.01 2.75

wage Coef. Std. Err. t P>|t| [95% Conf. Interval]

Total 179497.568 671 267.507553 Root MSE = 14.706
Adj R-squared = 0.1915
Residual 144901.423 670 216.27078 R-squared = 0.1927
Model 34596.1453 1 34596.1453 Prob > F = 0.0000
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