ME Individual DM JG 2006

Information about ME Individual DM JG 2006

Published on April 16, 2008

Author: Arkwright26

Source: authorstream.com

Content

Managerial Economics:  Managerial Economics Individual Decision Making Outline for Today:  Outline for Today Subject organisation Framing economic decisions Solving decision trees Why economics?:  Why economics? Economics provides basic tools to analyse ... production and exchange (both in markets and other organisations) prices competition investments changes in markets over time strategic interaction between firms & customers Provides a ‘toolkit’ that can be applied to a huge range of firm decisions. Course Objectives:  Course Objectives Specific objectives are to understand: Value creation & appropriation: What is the economic value of your productive activities? How much of that value do you get? Prices: Prices allocate value What actions can you take to alter pricing outcomes? General objective: learn to apply the tools of economics to improve your managerial decision making Review of subject structure:  Review of subject structure Skills required for subject:  Skills required for subject Logical and intuitive thinking Interpretation of graphs Mathematics The main thinking tool = MODELS Reduce complex situations to their fundamentals to develop general principles Subject Organisation:  Subject Organisation Textbook Problem Sets Aplia Additional problems Additional online materials Topic 1:  Individual decision making: “non-strategic” decisions Topic 1 Overview:  Overview Decision Trees Basic analytical tool of decision making Non-strategic decisions (this week) Strategic decisions (later) Decision rules follow from decision trees The concept of economic profit Decisions:  Decisions Degree of interdependence Non-strategic Direct consequences of your decision depend only upon your own behavior, not that of others Strategic Agents’ actions interact to determine direct consequences for all Uncertainty Low Linkages between actions and consequences are well understood and completely specified High Linkages are partially understood and/or incompletely specified Types of Decisions:  Types of Decisions Degree of Uncertainty Low High Degree of Interdependence with others’ actions High Low Market entry Extreme sports What to wear What to have for lunch How hard to study Whether to do an MBA Which MBA What to bid Decision Trees:  Decision Trees The basic tool for decision making is a decision tree Idea: a traveller comes to a fork in the road. She must make a decision whether to go right or left. R L Example (non-strategic under certainty):  Example (non-strategic under certainty) = Decision Node: indicates a point at which an action must be taken (one path for each possible action) Chang’s Dilemma in 2003:  Chang’s Dilemma in 2003 Sarah Chang is the owner of a small electronics company. There is a proposal for the provision of an electronic timing system for the 2004 Olympic Games. For several years, Chang’s company has been developing a new microprocessor, a critical component in a timing system that would be superior to any product currently on the market. Progress has been slow and Chang is unsure about whether the new product will be developed on time. If the R&D succeeds, then there is an excellent chance her company will win the $1m Olympic contract; awarded solely on the basis of quality. If it does not succeed, they might still win the contract with their original, but inferior, system for which there are closer substitutes. The costs involved in continuing R&D are $200,000. Developing a proposal itself will cost Chang’s company $50,000. Finally, the costs of producing the product – should they win the contract – will be $150,000. Should Chang continue R&D or not? Framing the Decision: Step I:  Framing the Decision: Step I Chang’s decision is between two alternatives – to continue R&D or to abandon the project Abandon Continue Perhaps make proposal with inferior technology at an additional cost of $50,000 Take risk on developing the new technology at an additional cost of $200,000 and reconsider proposal Step II:  Step II Abandon Continue Not Proposal $0 Expend $50,000 and perhaps win Uncertainty in a decision tree:  Uncertainty in a decision tree Chang must assess the probability of success Objective based upon data or specific knowledge Subjective based upon experience & judgement Suppose the probability of winning the contract with the old product is only 5% = 0.05 This implies probability of losing is 95% = Random Event Node: point at which “Nature” takes an action of her own (one path for each possible outcome) Step III:  Step III Abandon Continue Not Proposal $0 Win Lose 0.05 0.95 $800,000 -$50,000 Step IV:  Step IV Step V:  Step V No Prop No Prop Optimal decision plan:  Optimal decision plan While we built the tree by adding branches … the way to “solve” it is to start at the end and ‘roll back.’ Looking forward and working backwards is a key skill in economic decision-making Example (non-strategic under certainty):  Example (non-strategic under certainty) First, solve a node furthest to the right Decision node: Pick the best choice Nature node: Calculate the average value Solve next node to the left Continue … Solving at a node with uncertainty: Expected value:  Solving at a node with uncertainty: Expected value Chang wants to know, is R&D a risk worth taking? Easy to solve, so long as Chang is risk-neutral; Risk-neutral agents prefer decisions with highest average payoff Good assumption when agent is a firm, poor for individuals (investors can diversify their own portfolios) Example: Flip a coin, Heads you get $2.10 Tails you lose $1.00 1000 flips: roughly 500 heads, 500 tails  an average of ? per flip. Expected value: = (Probability of heads)(Payoff if heads) + (Prob of tails)(Payoff if tails) = ½ x 2.1 + ½ x (-1.00) = ½ x (2.1 – 1.00) = $ 0.55 Solving the Tree:  Solving the Tree Abandon Continue Not Proposal $0 Win Lose 0.05 0.95 $800,000 -$50,000 ? Expected value = 0.05 ($800,000) + 0.95 (-$50,000) = - $7,500 Solving the Tree:  Solving the Tree Abandon Continue Not Proposal $0 -$7,500 ? Choose the branch with the best payoff Solving the Tree:  Solving the Tree Abandon Continue Succeed Fail 0.5 0.5 $0 Not Proposal -$200,000 Win Lose 0.9 0.1 -$250,000 $600,000 Not Proposal -$200,000 Win Lose 0.05 0.95 -$250,000 $600,000 Solving the Tree:  Solving the Tree Abandon Continue Succeed Fail 0.5 0.5 $0 Not Proposal -$200,000 Win Lose 0.9 0.1 -$250,000 $600,000 Not Proposal -$200,000 -$207,500 Solving the Tree:  Solving the Tree Abandon Continue Succeed Fail 0.5 0.5 $0 Not Proposal -$200,000 $515,000 -$200,000 Solving the Tree:  Solving the Tree Abandon Continue Succeed Fail 0.5 0.5 $0 $515,000 -$200,000 Solving the Tree:  Solving the Tree Abandon Continue $0 $157,500 Never make proposal if don’t have newer technology Choose to take risk and continue R&D Indy’s Choice:  Indy’s Choice Example (from Dixit & Nalebuff): Indiana Jones in the climax of the movie Indiana Jones and the Last Crusade. Indiana Jones, his father, and the Nazis have all converged at the site of the Holy Grail. The two Joneses refuse to help the Nazis reach the last step. So the Nazis shoot Indiana’s dad. Only the healing power of the Holy Grail can save the senior Dr. Jones from his mortal wound. Suitably motivated, Indiana leads the way to the Holy Grail. But there is one final challenge. He must choose between literally scores of chalices, only one of which is the cup of Christ. While the right cup brings eternal life, the wrong choice is fatal. The Nazi leader impatiently chooses a beautiful gold chalice, drinks the holy water, and dies from the sudden death that follows from the wrong choice. Indiana picks a wooden chalice, the cup of a carpenter. Exclaiming “There’s only one way to find out” he dips the chalice into the font and drinks what he hopes is the cup of life. Upon discovering that he has chosen wisely, Indiana brings the cup to his father and the water heals the mortal wound. Framing the Decision:  Framing the Decision What alternatives does Indy have? Give drink to Snr Drink himself Framing the Decision:  Framing the Decision Do you need more information? Give drink to Snr Drink himself Right Wrong Jnr & Snr Live Jnr & Snr Die Right Wrong Jnr & Snr Live Snr Dies but Jnr Lives Uses of Decision Trees:  Uses of Decision Trees Decision Trees are used in situations that may be too complex to think through in your mind In Decision Analysis: used in situations where there is uncertainty, multiple decisions In “Managerial Economics”: used in situations where The payoffs are not so obvious The alternative choices are not so obvious Several players have to make choices Being systematic helps you to see though complexity and to remember all your alternative choices Economic Cost = opportunity foregone:  Economic Cost = opportunity foregone The true cost of one choice is giving up the benefits associated with your next-best choice Example: What is the cost of doing an MBA? Besides the price, there is an opportunity cost = what you would have earned, using the resource (your time) for another opportunity Costs that do not change with your decision are irrelevant Consider this situation:  Consider this situation Mita runs petrol stations and express stores at several highway exits. Until recently, she didn’t sell any drinks. She brought in a new line of drinks, Fizzies, which have proved unpopular. She has 10,000 Fizzies left. She thinks she can sell half of the remaining drinks for $1.00, but only 15% of the drinks at the standard price of $2.50. If she paid $0.30 per drink, how much should she charge? What about if she paid $1.05 per drink? Mita cannot return unsold stock of Fizzies, but must throw the stock out. Definition: Sunk Cost:  Definition: Sunk Cost A cost is considered sunk with respect to a specific decision if, no matter what you decide, that cost does not change On a decision tree, a sunk cost appears on all leaves (payoffs) sell at $2.50 $3750 - cost Mita sell at $1.00 $5000 - cost Economic benefit of charging $1 rather than $2.5 is $1,250 (cost is the same in all cases … it is sunk & irrelevant) Definition: *** Economic Profit ***:  Definition: *** Economic Profit *** The economic profit of a decision is the cash you earn from one decision, minus that from the best alternative decision Decision tree: $ from best choice, minus $ from next best choice sell at $2.50 $3750 - cost Mita sell at $1.00 $5000 - cost Economic profit = $1,250

Related presentations


Other presentations created by Arkwright26

transportation
07. 11. 2007
0 views

transportation

wonderful world
19. 06. 2007
0 views

wonderful world

2006911155950435
28. 04. 2008
0 views

2006911155950435

dietrich
17. 04. 2008
0 views

dietrich

H106n
14. 04. 2008
0 views

H106n

DM GlobalFDI Movements240306
13. 04. 2008
0 views

DM GlobalFDI Movements240306

may30
10. 04. 2008
0 views

may30

Ulad using crop residues
09. 04. 2008
0 views

Ulad using crop residues

coral reef and climate change
07. 04. 2008
0 views

coral reef and climate change

Ian Brinkley DtF 07 06
30. 03. 2008
0 views

Ian Brinkley DtF 07 06

Temperature
14. 02. 2008
0 views

Temperature

AP Review 1400 1800
20. 02. 2008
0 views

AP Review 1400 1800

New Sony
03. 10. 2007
0 views

New Sony

Literary Vocabulary Rhyme
10. 10. 2007
0 views

Literary Vocabulary Rhyme

Chapter1McMurry
13. 10. 2007
0 views

Chapter1McMurry

FinanceTransition
16. 10. 2007
0 views

FinanceTransition

rexcor baker
15. 10. 2007
0 views

rexcor baker

kakande
28. 11. 2007
0 views

kakande

bernsteintwo
16. 10. 2007
0 views

bernsteintwo

What Is Internal Control
29. 10. 2007
0 views

What Is Internal Control

11 40 063
07. 11. 2007
0 views

11 40 063

Il Nazismo
14. 11. 2007
0 views

Il Nazismo

kryukov 20041004
12. 10. 2007
0 views

kryukov 20041004

1015 1
19. 11. 2007
0 views

1015 1

AI 120 Examples
17. 10. 2007
0 views

AI 120 Examples

galaxy physics
01. 12. 2007
0 views

galaxy physics

Qualitative tools
29. 11. 2007
0 views

Qualitative tools

pannebecker
03. 01. 2008
0 views

pannebecker

infectious
05. 01. 2008
0 views

infectious

b e flows
07. 01. 2008
0 views

b e flows

CSI pres
07. 10. 2007
0 views

CSI pres

1A Quality of our Water
02. 01. 2008
0 views

1A Quality of our Water

OPVII AldusEquity
01. 10. 2007
0 views

OPVII AldusEquity

wheat 1
04. 10. 2007
0 views

wheat 1

Lexical Semantics II
21. 11. 2007
0 views

Lexical Semantics II

Forklift Standard 12 14 99
27. 02. 2008
0 views

Forklift Standard 12 14 99

manuel scott powerpoint
25. 03. 2008
0 views

manuel scott powerpoint

subspace
19. 06. 2007
0 views

subspace

skos ecoterm 2006
19. 06. 2007
0 views

skos ecoterm 2006

services
19. 06. 2007
0 views

services

Working with Automatic PGA
19. 06. 2007
0 views

Working with Automatic PGA

wider context
19. 06. 2007
0 views

wider context

weinberg wfi
19. 06. 2007
0 views

weinberg wfi

VS Mod Presentation
19. 06. 2007
0 views

VS Mod Presentation

Unicode from a distance
19. 06. 2007
0 views

Unicode from a distance

Unicode AndIndia
19. 06. 2007
0 views

Unicode AndIndia

tunable abw
19. 06. 2007
0 views

tunable abw

Tsunefum Mizuno sep14 05
19. 06. 2007
0 views

Tsunefum Mizuno sep14 05

tlstut
19. 06. 2007
0 views

tlstut

synergy redesign demo
19. 06. 2007
0 views

synergy redesign demo

acadien
19. 06. 2007
0 views

acadien

y report
19. 06. 2007
0 views

y report

Tom Worthington
19. 06. 2007
0 views

Tom Worthington

Millennials
14. 07. 2007
0 views

Millennials

vienna a6
19. 06. 2007
0 views

vienna a6

unit armorer sustainment
28. 02. 2008
0 views

unit armorer sustainment

SCI1010 C2
13. 11. 2007
0 views

SCI1010 C2

Slides 2006 fin year web3
19. 06. 2007
0 views

Slides 2006 fin year web3

MNEaula07
28. 12. 2007
0 views

MNEaula07

OUR SCAVENGER HUNT edited
16. 11. 2007
0 views

OUR SCAVENGER HUNT edited

ImplicationsResearch
03. 01. 2008
0 views

ImplicationsResearch

Jonh Roberts
31. 07. 2007
0 views

Jonh Roberts

wstechnology
19. 06. 2007
0 views

wstechnology

DiapoAnglaisdÃf
23. 10. 2007
0 views

DiapoAnglaisdÃf

QM chip
15. 10. 2007
0 views

QM chip

zend talk
19. 06. 2007
0 views

zend talk

seminarpresent
24. 02. 2008
0 views

seminarpresent

High School Counsellor Session
23. 11. 2007
0 views

High School Counsellor Session

xml cop feb05
19. 06. 2007
0 views

xml cop feb05

Value of Org RWG
19. 06. 2007
0 views

Value of Org RWG

Promo wkshp Downes
13. 03. 2008
0 views

Promo wkshp Downes

yw
17. 10. 2007
0 views

yw

WP1b
15. 10. 2007
0 views

WP1b

Regency Traffic111508 3 1
11. 03. 2008
0 views

Regency Traffic111508 3 1

Superstar
19. 06. 2007
0 views

Superstar

BUS 400
05. 10. 2007
0 views

BUS 400

950321
11. 10. 2007
0 views

950321

perry presentation
04. 03. 2008
0 views

perry presentation

vergados 1
20. 11. 2007
0 views

vergados 1

vlad
19. 06. 2007
0 views

vlad

Darstellung des HH AZM
15. 11. 2007
0 views

Darstellung des HH AZM