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Demand analysis and demand
elasticities
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Detailed course schedule
Day no Topic Textbook ch. 1 (24 Nov; 3 hrs) 1. Introduction. Decision making process and its elements. The scope of economic decision making. Application of marginal analysis Chs. 1-2 2 (25 Nov; 3 hrs) 2. Demand analysis and demand elasticities Ch. 3 3 (26 Nov; 3 hrs) 3. Buyer product valuation and choices. Consumer surplus. Buyer pricing decisions Ch. 4 4 (27 Nov; 2 hrs) 4. Production/transformation process. Production technologies and input-output structure Ch. 5 5 (28 Nov; 2 hrs) 5. Cost structure and cost drivers of producer pricing strategies. Production scale and scope. Chs. 5 and 7 6 (1 Dec; 3 hrs) 6. Structure-conduct-performance. Market structures: competition and contestability. Pricing strategies of buyers and sellers Ch. 8 7 (2 Dec; 3 hrs) 7. Market structures: monopoly/monopsony, monopolistic competition and oligopoly. Pricing strategies and strategic behaviour Chs. 9-10 8 (3 Dec; 3 hrs) 8. Input sourcing and investment. Pricing and market power Chs. 6 and 11 9 (4 Dec; 2 hrs) 9. Decision making under conditions of uncertainty. Informational asymmetries and risk management Ch. 12 10 (5 Dec; 2 hrs) 10. Market research and market analysis. Auction and rings. Strategic behaviour Ch. 13 11 (8 Dec; 2 hrs ) 11. Public sector perspective Ch. 14 12 (9 Dec; 2 hrs) 12. Revision 13. Examination 13 (11 Dec; 2 hrs) Examination
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Topic 2: Demand analysis and demand elasticities Topic Contents
2.1 Managerial perspective 2.2 Demand and the demand schedule 2.3 Demand curve 2.4 Elasticity of demand and revenue implications 2.5 Expected demand 2.6 Further reading
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2.1 Managerial perspective
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2.2 Demand and the demand schedule
Demand - willingness and ability to buy a good or a service Quantity demanded - the amount of a good that buyers are willing and able to purchase at an indicated price Demand schedule - a table that shows the relationship between the price of a good and the quantity demanded Law of demand - other things being equal (ceteris paribus), the quantity demanded of a good varies inversely with its own price
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2.2 Demand and the demand schedule
Variables that may affect quantity demanded, Qa Own price (Pa) Prices of other goods/services (Po) Income (I) Tastes (T) Expectations (E) Number of buyers (n) Demand equation Qa = f (Pa, Po, I, T, ….) Example: Qa = A - a Pa + b I Qa = Pa I
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2.3 Demand curve Demand curve - a graph of the relationship between the price of a good and the quantity demanded (of that good) Price ($) Quantity Individual demand Market demand - as the sum of individual demands
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2.3 Demand curve Price ($) 15 12 Movement along 9 6 3 1 Quantity Movement along the demand curve (ceteris paribus conditions)
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2.3 Demand curve P Decrease Increase in demand in demand Q Shifts in the demand curve: increase in demand or decrease in demand
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2.3 Demand curve Change in Impact on the demand curve a variable
Own Price Movement along Income Shift Other prices Shift Tastes Shift Expectations Shift No. of buyers Shift
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2.4 Elasticity of demand and revenue implications
Own price elasticity - the percentage change in quantity demanded that results from one per cent change in own price Ea = %DQa/%Dpa point elasticity (if the price change is very small) arc elasticity (if the price change is large) Point elasticity Ea = dQa/Qa : dPa/Pa = dQa/dPa Pa/Qa Arc elasticity Ea = DQa/Qa : DPa/Pa = DQaPa/DPaQa
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2.4 Elasticity of demand and revenue implications
Demand is If Elastic Ea< -1 Unitary elastic Ea= -1 Inelastic < Ea < 0
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2.4 Elasticity of demand and revenue implications
Cross price elasticity - the percentage change in quantity demanded for a good, Qa, that results from one per cent change in the price of another good, Pb Eab = %DQa/%DPb complements Eab < 0 substitutes Eab > 0 Two goods are: Substitutes - when an increase in the price of one good increases the demand for the other good Complements - when an increase in the price of one good decreases the demand for the other good
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2.4 Elasticity of demand and revenue implications
Income elasticity - the percentage change in quantity demanded for a good, Qa, that results from one per cent change in the buyer’s income, I EI = %DQa/%DI A good is: normal - when, ceteris paribus, an increase in income results in an increase in quantity demanded 0<EI (a necessity if 0 < EI <1) inferior - when, ceteris paribus, an increase in income results in a decrease in quantity demanded EI<0
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2.4 Elasticity of demand and revenue implications
Total revenue TR = PQ Average revenue AR = TR/Q=P Marginal revenue MR = dTR/dQ Marginal revenue is the change in revenue resulting from one unit change in quantity demanded
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2.4 Elasticity of demand and revenue implications
Price Elasticity and Marginal Revenue Price ($) Elastic Unitary Elastic Inelastic MR Quantity
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2.5 Expected demand Uncertainty - ‘incomplete’ knowledge
Non-quantifiable uncertainty - ordinal measures (e.g., more likely than …..) Quantifiable uncertainty or Risk cardinal measures (e.g., 10% chance of .….) Probability distributions Expected Value N E(V) = S ViPi i=1 where Vi is the value of the ith outcome Pi is the probability of the ith outcome
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2.5 Expected demand Variance Coefficient of Variation STD = VAR
VAR = S (Vi- V(P))2 Pi i = 1, 2, N Standard Deviation STD = VAR Coefficient of Variation CV = STD/E(V) Used as a measure of risk
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2.5 Expected demand Example: Bell-shaped distribution applied to demand for an item repair services
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2.5 Expected demand Preferences for risk bearing
risk neutrality risk preference risk aversion certainty equivalence risk premium Consider two gifts with equal E(V) but different coefficients of variation, CV. For example, Gift A - $100 cash Gift B - a lottery ticket offering a chance of winning $200 or nothing
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2.5 Expected demand Risk-neutral person is indifferent between A and B
Risk-averse person prefers A to B Risk-loving person prefers B to A Certainty equivalent is a certain activity with E(V) equal to E(V) of some equivalent risky activity (e.g., A is the certainty equivalent of B) Risk premium is the difference between the subjective value of a risky activity and the value of its certainty equivalent (e.g., V(B) - V(A))
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2.6 Further reading Baye (2010): chs. 3-4
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