A researcher is interested in estimating the supply function of an online car rental service provider as a function of its average price (Price, measur per kilometre price charged for the month of October, 2017). He has data on the price charged and the number of cars available on the road for re cities in the U.S. in which the provider operates. However, given that there is simultaneous causality between Price and Car due to the interactions and supply, the supply function cannot be estimated consistently by an OLS regression of Car on Price. He, therefore, uses Income (measured by of a given city in the U.S. for 2017) as an instrument which satisfies the two conditions of instrument validity. He uses the two stage least squares the coefficient on Price which enables him to estimate the supply function. Suppose, the sample covariance between Car and Income, SCar, Income is 1.45, and the sample covariance between Price and Income, Sincome Let B1 be the population slope coefficient on price and ß1 A TSLS be the two stage least squares (TSLS) estimator of B1.
A researcher is interested in estimating the supply function of an online car rental service provider as a function of its average price (Price, measur per kilometre price charged for the month of October, 2017). He has data on the price charged and the number of cars available on the road for re cities in the U.S. in which the provider operates. However, given that there is simultaneous causality between Price and Car due to the interactions and supply, the supply function cannot be estimated consistently by an OLS regression of Car on Price. He, therefore, uses Income (measured by of a given city in the U.S. for 2017) as an instrument which satisfies the two conditions of instrument validity. He uses the two stage least squares the coefficient on Price which enables him to estimate the supply function. Suppose, the sample covariance between Car and Income, SCar, Income is 1.45, and the sample covariance between Price and Income, Sincome Let B1 be the population slope coefficient on price and ß1 A TSLS be the two stage least squares (TSLS) estimator of B1.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:A researcher is interested in estimating the supply function of an online car rental service provider as a function of its average price (Price, measured by the average
per kilometre price charged for the month of October, 2017). He has data on the price charged and the number of cars available on the road for rent, (Car), for the 200
cities in the U.S. in which the provider operates. However, given that there is simultaneous causality between Price and Car due to the interactions between demand
and supply, the supply function cannot be estimated consistently by an OLS regression of Car on Price. He, therefore, uses Income (measured by the per capita GDP
of a given city in the U.S. for 2017) as an instrument which satisfies the two conditions of instrument validity. He uses the two stage least squares (TSLS) estimator of
the coefficient on Price which enables him to estimate the supply function.
Suppose, the sample covariance between Car and Income, SCar, Income is 1.45, and the sample covariance between Price and Income, Sincome, Price is 2.45.
A TSLS
Let B1 be the population slope coefficient on price and Bi
be the two stage least squares (TSLS) estimator of B1.
TSLS
The value of ß,
will be
(Round your answer to two decimal places).
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