1. As a transit planner for the city of Miami, you must predict how many people ride the Miami Metrorail and how much money is generated from train fares. According to a recent study, the short-run elasticity of demand for Metrorail is 0.62 and the long- run elasticity is 1.59. The current ridership is 50,000 people per day. Suppose the city commission decides to increase fares by 10%. Predict the changes in train ridership over a one-month period and a five-year period. ANS: b. Over the one-month period, will total revenue increase or decrease? What will happen in the five-year period? ANS
1. As a transit planner for the city of Miami, you must predict how many people ride the Miami Metrorail and how much money is generated from train fares. According to a recent study, the short-run elasticity of demand for Metrorail is 0.62 and the long- run elasticity is 1.59. The current ridership is 50,000 people per day. Suppose the city commission decides to increase fares by 10%. Predict the changes in train ridership over a one-month period and a five-year period. ANS: b. Over the one-month period, will total revenue increase or decrease? What will happen in the five-year period? ANS
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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Transcribed Image Text:1. As a transit planner for the city of Miami,
you must predict how many people ride the
Miami Metrorail and how much money is
generated from train fares. According to a
recent study, the short-run elasticity of
demand for Metrorail is 0.62 and the long-
run elasticity is 1.59. The current ridership is
50,000 people per day. Suppose the city
commission decides to increase fares by
10%.
Predict the changes in train ridership over a
one-month period and a five-year period.
ANS:
b. Over the one-month period, will total
revenue increase or decrease? What will
happen in the five-year period?
ANS
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