The following graph shows the supply and demand curves for Airbnb rentals in the hypothetical economy of Comfytown in 2010, two years after Airbnb launched; the equilibrium quantity of rentals was 100 rooms per day, and the equilibrium price was $150 per room. At that time, Comfytown was enforcing tax regulations on the market for hotels, but it hadn't yet initiated a tax arrangement on room rentals through Airbnb. Realizing that there is a great potential for increased tax revenue, government officials in Comfytown began discussing how they could align Airbnb rentals with hotel stays from a tax perspective. Fast-forward to 2018, at which time Comfytown has finally made tax arrangements with Airbnb to levy a $40-per-room tax on rentals. However, now the market conditions have changed. More hosts have now entered the Airbnb market, and awareness of this hotel alternative has increased demand. The following graph shows the demand and supply curves for Airbnb rentals in 2018. Use the green rectangle (triangle symbols) to illustrate the area representing the revenue raised by a $40-per-room tax. Then use the black paint (cross symbol) to shade the area representing the deadweight loss generated by this tax. PRICE (Dollars per rental 200 190 100 170 100 190 140 130 120 110 100 Demandag10 Tax Wedge GO 100 120 Tax Revenue Supply 2018 140 160 100 200 Deadweight Lose RENTALS (Rooms per day) Comparing the market for Airbnb rentals for the two years is complicated by the fact that the graph depicts three changes: total demand increases, total supply increases, and the slope of the demand curve changes. To isolate the effect of elasticity on deadweight loss and government revenue, consider the following scenario: IM Suppose the government wants to estimate the tax revenues from room rentals for 2030, and economic models predict two different scenarios (A and B), each with a different demand curve (labeled Demand and Demand, respectively, on the following graph). 17% Dewa 10 2 RERTALE BRE Deadweight Loss Tax Revenue Scenario (Dollars per day) (Dollars per day) Under scenario A, demand is relatively elastic, and the tax results in a deadweight loss and under scenario B. This suggests that, all other things being equal, the government should tax industries with a relatively, demand if it wants to minimize deadweight loss. government revenue than elasticity of

ENGR.ECONOMIC ANALYSIS
14th Edition
ISBN:9780190931919
Author:NEWNAN
Publisher:NEWNAN
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
icon
Related questions
Question
Pro hero pro expert Hand written solution is not allowed.
The following graph shows the supply and demand curves for Airbnb rentals in the hypothetical economy of Comfytown In 2010, two years after
Airbnb launched; the equilibrium quantity of rentals was 100 rooms per day, and the equilibrium price was $150 per room. At that time, Comfytown
was enforcing tax regulations on the market for hotels, but it hadn't yet initiated a tax arrangement on room rentals through Airbnb.
Realizing that there is a great potential for increased tax revenue, government officials in Comfytown began discussing how they could align Airbnb
rentals with hotel stays from a tax perspective. Fast-forward to 2018, at which time Comfytown has finally made tax arrangements with Airbnb to levy
a $40-per-room tax on rentals. However, now the market conditions have changed. More hosts have now entered the Airbnb market, and awareness
of this hotel alternative has increased demand. The following graph shows the demand and supply curves for Airbnb rentals in 2018.
Use the green rectangle (triangle symbols) to illustrate the area representing the revenue raised by a $40-per-room tax. Then use the black point
(cross symbol) to shade the area representing the deadweight loss generated by this tax.
PRICE (Dollars per rental)
200
190
180
170
Demandan38
100
Tax Wedge
150
140
130
120
110
2
Tax Revenue
Supply 2018
Deadweight Loss
100
°
10
60
GO
120
140
100
100
200
100
RENTALS (Rooms per day)
Comparing the market for Airbnb rentals for the two years is complicated by the fact that the graph depicts three changes: total demand Increases,
total supply increases, and the slope of the demand curve changes. To isolate the effect of elasticity on deadweight loss and government revenue,
consider the following scenario:
Suppose the government wants to estimate the tax revenues from room rentals for 2030, and economic models predict two different
scenarios (A and B), each with a different demand curve (labeled Demandд and Demand, respectively, on the following graph).
100
Cred
100
120
15
130
100
"
M
SUPP
RENTALS (
10 13
13
Dow
Deadweight Loss Tax Revenue
Scenario (Dollars per day) (Dollars per day)
Under scenario A, demand is relatively ✓ elastic, and the tax results in a
deadweight loss and
under scenario B. This suggests that, all other things being equal, the government should tax industries with a relatively,
demand if it wants to minimize deadweight loss.
government revenue than
elasticity of
Transcribed Image Text:The following graph shows the supply and demand curves for Airbnb rentals in the hypothetical economy of Comfytown In 2010, two years after Airbnb launched; the equilibrium quantity of rentals was 100 rooms per day, and the equilibrium price was $150 per room. At that time, Comfytown was enforcing tax regulations on the market for hotels, but it hadn't yet initiated a tax arrangement on room rentals through Airbnb. Realizing that there is a great potential for increased tax revenue, government officials in Comfytown began discussing how they could align Airbnb rentals with hotel stays from a tax perspective. Fast-forward to 2018, at which time Comfytown has finally made tax arrangements with Airbnb to levy a $40-per-room tax on rentals. However, now the market conditions have changed. More hosts have now entered the Airbnb market, and awareness of this hotel alternative has increased demand. The following graph shows the demand and supply curves for Airbnb rentals in 2018. Use the green rectangle (triangle symbols) to illustrate the area representing the revenue raised by a $40-per-room tax. Then use the black point (cross symbol) to shade the area representing the deadweight loss generated by this tax. PRICE (Dollars per rental) 200 190 180 170 Demandan38 100 Tax Wedge 150 140 130 120 110 2 Tax Revenue Supply 2018 Deadweight Loss 100 ° 10 60 GO 120 140 100 100 200 100 RENTALS (Rooms per day) Comparing the market for Airbnb rentals for the two years is complicated by the fact that the graph depicts three changes: total demand Increases, total supply increases, and the slope of the demand curve changes. To isolate the effect of elasticity on deadweight loss and government revenue, consider the following scenario: Suppose the government wants to estimate the tax revenues from room rentals for 2030, and economic models predict two different scenarios (A and B), each with a different demand curve (labeled Demandд and Demand, respectively, on the following graph). 100 Cred 100 120 15 130 100 " M SUPP RENTALS ( 10 13 13 Dow Deadweight Loss Tax Revenue Scenario (Dollars per day) (Dollars per day) Under scenario A, demand is relatively ✓ elastic, and the tax results in a deadweight loss and under scenario B. This suggests that, all other things being equal, the government should tax industries with a relatively, demand if it wants to minimize deadweight loss. government revenue than elasticity of
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 9 images

Blurred answer
Knowledge Booster
Equilibrium Point
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, economics and related others by exploring similar questions and additional content below.
Similar questions
Recommended textbooks for you
ENGR.ECONOMIC ANALYSIS
ENGR.ECONOMIC ANALYSIS
Economics
ISBN:
9780190931919
Author:
NEWNAN
Publisher:
Oxford University Press
Principles of Economics (12th Edition)
Principles of Economics (12th Edition)
Economics
ISBN:
9780134078779
Author:
Karl E. Case, Ray C. Fair, Sharon E. Oster
Publisher:
PEARSON
Engineering Economy (17th Edition)
Engineering Economy (17th Edition)
Economics
ISBN:
9780134870069
Author:
William G. Sullivan, Elin M. Wicks, C. Patrick Koelling
Publisher:
PEARSON
Principles of Economics (MindTap Course List)
Principles of Economics (MindTap Course List)
Economics
ISBN:
9781305585126
Author:
N. Gregory Mankiw
Publisher:
Cengage Learning
Managerial Economics: A Problem Solving Approach
Managerial Economics: A Problem Solving Approach
Economics
ISBN:
9781337106665
Author:
Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Publisher:
Cengage Learning
Managerial Economics & Business Strategy (Mcgraw-…
Managerial Economics & Business Strategy (Mcgraw-…
Economics
ISBN:
9781259290619
Author:
Michael Baye, Jeff Prince
Publisher:
McGraw-Hill Education