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 de
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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
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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-
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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/
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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
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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 co
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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. popul
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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 Char
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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
ii
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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
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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
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 i
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 l
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 direct
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 sch
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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 dse
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 increas