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An in-depth analysis of the concept of elasticity of demand using the new york city transit authority as a case study. The calculation of own-price elasticity using both point and arc approaches, as well as the interpretation of elasticity values. It also discusses the determinants of elasticity and provides examples of elasticity in various markets.
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May 2003: projected deficit of $1 billion over following two years Raised single-ride fares from $1.50 to $ Raised discount fares One-day unlimited pass from $4 to $ 30 - day unlimited pass from $63 to $ Increased pay-per-ride MetroCard discount from 10% bonus for purchase of $15 or more to 20% for purchase of $10 or more.
Would the MTA forecasts be realized? In order to gauge the effects of the price increases, the MTA needed to predict how the new fares would impact total subway use, as well as how it would affect subway riders’ use of discount fares.
Definition: percentage change in quantity demanded resulting from 1% increase in price of the item. Alternatively, %_change_in_price %_change_in_quantity_demanded
Point approach: Elasticity={[Q2-Q1]/Q1}/{[P2-P1]/P1} % change in qty = (1.44-1.5)/1.5= - 4% % change in price = (1.10-1)/1= 10% Elasticity=-4%/10%=-0.
Point approach: Elasticity={[Q1-Q2]/Q2}/{[P1-P2]/P2} % change in qty = (1.5-1.44)/1.44= 4.16% % change in price = (1-1.10)/1.10=-9.09 % Elasticity=4.16%/-9.09%=-0.
|E|=0, perfectly inelastic 0<|E|<1, inelastic |E|=1, unit elastic |E|>1, elastic |E|=infinity, perfectly elastic
Steeper demand curve means demand less elastic But slope not same as elasticity
Vertical intercept: perfectly elastic Upper segment: elastic Middle: Unit elastic Lower segment: inelastic Horizontal intercept: perfectly inelastic
Product Market Elasticity Automobiles Chevette U.S. -3. Civic U.S. - Consumer products music CDs Aus -1. cigarettes U.S. -0. liquor U.S. -0. football games U.S. -0. Utilities electricity (residential) Quebec -0. telephone service Spain -0. water (residential) U.S. -0. water (industrial) U.S. -0. OWN-PRICE ELASTICITIES
“Extensive research and many years of experience have taught us that business travel demand is quite inelastic… On the other hand, pleasure travel has substantial elasticity.” Robert L. Crandall, CEO, 1989
Forecasting quantity demanded Change in quantity demanded = price elasticity of demand x change in price
If demand elastic, price increase leads to proportionately greater reduction in purchases lower expenditure If demand inelastic, price increase leads to proportionately smaller reduction in purchases higher expenditure