(age), number of room in a house (room), and the natural logarithm of the distance from a house to the city centre (Idi stance Iprice = 9.215 – 0.025age + 0.036room – 0.195ldistance e Gauss-Markov assumptions hold, then the OLS estimation of the above equation shows that on average one: a one percent increase in distance decreases housing price by about 19.5% for houses with the same values of (age, room a one unit increase in distance decreases housing price by about $195 (= 0.195 * 1000) for houses with the same values o (age, room) an increase of one room increases housing price by about 0.036% for houses with the same values of (age, distance) an increase of one room increases housing price by about 3.6% for houses with the same values of (age, distance) on A3 f9 lowing model investigates the effect of a worker training program on their productivity, avgprod = ao + a¡ avgtrain + u avgprod is productivity per worker at a manufacturing firm and avgtrain is the hours of training per worker at the firm. If u is ted with avgtrain and u is correlated with avgprod, the OLS estimate of a1 will be one: biased and consistent unbiased and inconsistent biased and inconsistent unbiased and consistent
(age), number of room in a house (room), and the natural logarithm of the distance from a house to the city centre (Idi stance Iprice = 9.215 – 0.025age + 0.036room – 0.195ldistance e Gauss-Markov assumptions hold, then the OLS estimation of the above equation shows that on average one: a one percent increase in distance decreases housing price by about 19.5% for houses with the same values of (age, room a one unit increase in distance decreases housing price by about $195 (= 0.195 * 1000) for houses with the same values o (age, room) an increase of one room increases housing price by about 0.036% for houses with the same values of (age, distance) an increase of one room increases housing price by about 3.6% for houses with the same values of (age, distance) on A3 f9 lowing model investigates the effect of a worker training program on their productivity, avgprod = ao + a¡ avgtrain + u avgprod is productivity per worker at a manufacturing firm and avgtrain is the hours of training per worker at the firm. If u is ted with avgtrain and u is correlated with avgprod, the OLS estimate of a1 will be one: biased and consistent unbiased and inconsistent biased and inconsistent unbiased and consistent
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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6
![Question A2
The following equation reports a regression of the natural logarithm of the housing prices (Iprice, where price is in $1000) on age of a
house (age), number of room in a house (room), and the natural logarithm of the distance from a house to the city centre (ldistance):
Iprice = 9.215 – 0.025age + 0.036room – 0.195ldistance
If all the Gauss-Markov assumptions hold, then the OLS estimation of the above equation shows that on average
Select one:
a.
a one percent increase in distance decreases housing price by about 19.5% for houses with the same values of (age, room)
a one unit increase in distance decreases housing price by about $195 (= 0.195 * 1000) for houses with the same values of
(age, room)
b.
an increase of one room increases housing price by about 0.036% for houses with the same values of (age, distance)
с.
d.
an increase of one room increases housing price by about 3.6% for houses with the same values of (age, distance)
Question A3 9
The following model investigates the effect of a worker training program on their productivity,
avgprod = av + ¤¡avgtrain + u
where avgprod is productivity per worker at a manufacturing firm and avgtrain is the hours of training per worker at the firm. If u is
correlated with avgtrain and u is correlated with avgprod, the OLS estimate of aj will be
Select one:
a.
biased and consistent
b. unbiased and inconsistent
C.
biased and inconsistent
d. unbiased and consistent](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe6c5ff51-13cf-4175-ab2a-d4efcda13885%2F6cd5209c-e90e-49fc-9672-aab119421194%2Fa9prjkx_processed.png&w=3840&q=75)
Transcribed Image Text:Question A2
The following equation reports a regression of the natural logarithm of the housing prices (Iprice, where price is in $1000) on age of a
house (age), number of room in a house (room), and the natural logarithm of the distance from a house to the city centre (ldistance):
Iprice = 9.215 – 0.025age + 0.036room – 0.195ldistance
If all the Gauss-Markov assumptions hold, then the OLS estimation of the above equation shows that on average
Select one:
a.
a one percent increase in distance decreases housing price by about 19.5% for houses with the same values of (age, room)
a one unit increase in distance decreases housing price by about $195 (= 0.195 * 1000) for houses with the same values of
(age, room)
b.
an increase of one room increases housing price by about 0.036% for houses with the same values of (age, distance)
с.
d.
an increase of one room increases housing price by about 3.6% for houses with the same values of (age, distance)
Question A3 9
The following model investigates the effect of a worker training program on their productivity,
avgprod = av + ¤¡avgtrain + u
where avgprod is productivity per worker at a manufacturing firm and avgtrain is the hours of training per worker at the firm. If u is
correlated with avgtrain and u is correlated with avgprod, the OLS estimate of aj will be
Select one:
a.
biased and consistent
b. unbiased and inconsistent
C.
biased and inconsistent
d. unbiased and consistent
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