ECO 544 Assignment 1
1. Table 7 shows characteristics of public school teachers between 1960 and 1983 in terms of teacher
experience, education, and salaries. While the first four years of teaching decreased to 8.3% in 1983
from 32.2% in 1966, the percent
Eco 440
Assignment 8
1. Table 1 of Winston (1999) is taken from a recent study of student subsidies at most of the
accredited, degree-granting colleges and universities in the United States. The data include
2739 institutions, of which 1420 are public and
Eco 440/544
Assignment 11
1. Table V in Tyler et al. (2000) estimates the GED effect on earnings for dropouts who
attempted the GED. Regarding Panel A (white sample) and the middle three columns (Ex-
periment 3), how to interpret the four numbers (9362, 7
Eco 440/544
Assignment 3
1. Krueger (1998) pools the NAEP data across three age groups and three subject tests and
estimates an ordinary least squares (OLS) regression of the form:
Y = a + b(spending/student) + (subject dummies) + (age dummies) + unobserv
Eco 440/544
Assignment 4
1. Download the data set projectstarnew2.txt from UBLearns. The data set has only 2
columns (variables). Name them as variables dtmathssk (math scaled score in kindergarden of a Project STAR participant), and dtmathss1 (math scale
Eco 440/544
Assignment 9
1. The problem here slightly changes the example in Spence (1973). Suppose that there are
two productivity distinct groups. Group I individuals have a productivity of 1. In contrast,
Group II individuals have a productivity of 3 (
Eco 440/544
Assignment 10
1. Download the data set nlsy.txt from UBLearns. It contains a sample from the National
Longitudinal Survey of Youth, a survey of individuals representative of the U.S. population
aged between 14-22 in 1979. The data set we work
Eco 440/544
Assignment 2
1. Chart 1 of Krueger (1998) presents the average NAEP exam scores for each year, after
age and subject main effects have been removed. What are the main conclusions from Chart
1?
2. An exhaustive search by Hanushek (1986) uncover
Eco 440/544
Assignment 5
1. Following the last assignment, the following shows a scatterplot of dtmathss1 against
dtmathssk with a regression line superimposed. We assume the following relationship
iid
between the two variables: dtmathss1i = 0 + 1 dtmaths
Eco 440/544
Assignment 6
1. Download the data set projectstarnew.txt from UBLearns. The data set has 88 columns
(variables). Name these variables as follows:
Name
Variable
dtreadssk Reading percentile score of a Project STAR student
dtmathssk
Math percent
Eco 440/544
Assignment 12
Figure I in Black (1999) illustrates the problem discussed conceptually. The researcher uses
housing prices to infer the value parents place on school quality. Typically, one compares the
average housing value in one attendance d
ECO 544 Assignment 3
1. Column 5 and column 6 indicate the regression results including explanatory variables. In column 5
the coefficient of Spending per enrolled student is 0.072, which means that if spending per pupil
increases by 1 unit ($1,000), NAEP
ECO 544 Assignment 4
1. Scatterplot and fitted regression line are as follows:
2. The scatterplot above appears that there is positive relationship between dtmathssk and
dtmathss1. Fitted regression line also indicates that math scaled score in kindergart
ECO 544 Assignment 5
1.
(1) Independent variable: dtmathssk ( x axis )
Dependent variable: dtmathss1 ( y axis )
(2) and are the coefficients in true regression line. True regression line is not directly observable, so
that and do not appear in the graph.
ECO 544 Assignment 7
1.
(1)
Variables
Coefficient
0.8441
0.0247
-0.00026
-0.0212
Standard Errors
0.0311
0.0343
0.0288
0.0321
t-statistics
27.1415
0.7201
- 0.009
- 0.6604
(2) No. The individual characteristics do not predict small class assignment since al
ECO 544 Assignment 8
1. The last column (price/cost ratio) is the proportion of the students educational costs covered by the
students payment, approximately the ratio of column 4 to column 3. The schools are ranked by decile
according to the subsidies pe
Eco 440
Assignment 7
1. Following the last assignment, run a linear probability regression of dcltypek1i on a
constant, dsrace1i , dssex2i and dsesk1i :
dcltypek1i = 0 + 1 dsrace1i + 2 dssex2i + 3 dsesk1i + i
(1) Present your coefficient estimates of 0 ,
ECO 544 Assignment 2
1. Chart 1 shows the average NAEP exam scores for each year, after age and subject main effects have
been removed. For most of the subjects and age groups, NAEP scores are increasing over time. Also,
the correlation between the averag