The most common justification provided for the tax subsidy to homeownership in the US is that homeownership has positive externalities that renting does not. As Glaeser and Shapiro (2002) write: "To its supporters, the home mortgage interest deduction is the cornerstone of American society. Homeownership gives people a stake in society and induces them to care about their neighborhoods and towns. By subsidizing property ownership, the deduction induces people to invest and then to have a stake in our democracy. Ownership makes people vote for long-run investments instead of short-run transfers." Consider the following regression model:
The most common justification provided for the tax subsidy to homeownership in the US is that homeownership has positive externalities that renting does not. As Glaeser and Shapiro (2002) write: "To its supporters, the home mortgage interest deduction is the cornerstone of American society. Homeownership gives people a stake in society and induces them to care about their neighborhoods and towns. By subsidizing property ownership, the deduction induces people to invest and then to have a stake in our democracy. Ownership makes people vote for long-run investments instead of short-run transfers." Consider the following regression model:
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
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Transcribed Image Text:5.
The most common justification provided for the tax subsidy to homeownership in the US is that
homeownership has positive externalities that renting does not. As Glaeser and Shapiro (2002)
write: "To its supporters, the home mortgage interest deduction is the cornerstone of American
society. Homeownership gives people a stake in society and induces them to care about their
neighborhoods and towns. By subsidizing property ownership, the deduction induces people to
invest and then to have a stake in our democracy. Ownership makes people vote for long-run
investments instead of short-run transfers."
Consider the following regression model:
Мeetingsi 3D Bo + Bi x Нотеower + u
Meetings is the number of town hall meetings the individual attended in the last year and
Homeowner equals 1 if the individual is a homeowner. A researcher who collects data and
regresses Meetings against Homeowner finds that B, > 0.
The OLS estimator, B, however, likely suffers from omitted variable bias because the set of
people who buy homes are likely to be the types of persons who would be more inclined to
make social connections, participate in the political process, and take care of their properties
even if they were renting. Because of this omitted variable bias, it is likely the case that
B1.
A)
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