10 – Partial Budgets and Decision Analysis Flashcards

1
Q

Types of costs

A
  • Fixed
  • Variable
  • Opportunity
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2
Q

Fixed costs

A
  • Paid regardless of which choice is taken
  • With a short time horizon=these can usually be ignored
  • Ex. taxes, electrical
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3
Q

Variable costs

A
  • Vary depending on which action is taken
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4
Q

Opportunity costs

A
  • Cost incurred by not making some other choice
  • Usually ASSUME that we will borrow the needed funds
    o If shot=usually ignore
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5
Q

Partial budgets and benefit cost analysis

A
  • Attempt to forecast financial events that follow a management decision
  • Considers a limited aspect of total enterprise (ONLY VARIABLE COSTS)
  • Areas of irrelevance=ignored
  • *use it to compare 2 or more different options
    o current program often used as baseline
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6
Q

Partial budgets

A
  • calculate total change in revenues and expenses
  • net revenue change – net expense change = net profit
  • *only consider costs that will change depending on which option you choose (VARIABLE COSTS!!!)
  • Spreadsheets allow you to to “what if” games
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7
Q

Partial budget example: (stupid example)

A
  • Beef herd (100cows) with 1 cow abort due to IBR
  • If don’t vaccinate=1 more cow will abort
    o Sell her and buy another: $600/cow
  • If vaccinate=no more abortions
    o $50 total + 1 hour ($40)=$90
  • **individual numbers by themselves mean NOTHING! NEED TO COMPARE!
  • *$510 benefit to vaccination
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8
Q

Partial budge for value of calf hutches

A
  • Consider present calf morbidity and motality due to pneumonia
  • Effect of pneumonia on future production=important for calculating economic costs
  • Treatment costs and death losses
  • Hutch cost, maintenance/labour, life of hutch
  • *INCREASE REVENUES (increased milk production) vs. INCREASED EXPENSES (costs to build, treatment)
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9
Q

Decision analysis is a systematic method that evaluates

A
  • Future events
  • Consequences of actions
  • Likelihood of upcoming occurrences
  • Value of various endpoints
  • *money is NOT a major component of this analysis
  • *focus on probabilities and logic
    o Money keeps ‘score’
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10
Q

Advantages of decision analysis

A
  • Explicit
  • Quantitative
  • Prescriptive
  • Allows us to play ‘what if’ games
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11
Q

Explicit: decision analysis

A
  • Forces us to formulate a problem by its component parts
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12
Q

Quantitative: decision analysis

A
  • Forces us to make precise statements about probabilities, costs and revenues
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13
Q

Prescriptive: decision analysis

A
  • Helps us choose a course of action
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14
Q

Allows us to play ‘what if’ games: decision analysis

A
  • Sensitivity analysis: change one factor and see if decision changes
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15
Q

Disadvantages of decision analysis

A
  • Simplistic view of a complex biological system
  • *approximation of reality
  • Forecasting is extremely difficult
  • Can never create a complete model
  • Risk is NOT considered
  • *best for commonplace decisions that are made over and over again!
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16
Q

4 steps of decision analysis

A
  1. ID the problem and choices
  2. Structure the decision problem
  3. Characterize the info needed
  4. Choose a preferred course of action
17
Q

Decision tree

A
  • Graphic arrangement
  • Branches L to R: alternate action or choice event
  • Probability of each outcome can be considered
  • Starts with decision ‘node’
  • Usually represented by a square
18
Q

Decision (choice) node

A
  • Indicates a clinical event which decision maker has control
  • Exhaustive (all possible choices) or exclusive (only one choice is possible at the node)
19
Q

Each branch of the decision node can lead to one of three options

A
  • Another decision node
  • Chance node
  • Terminal branch or outcome
20
Q

Chance nodes

A
  • Essence of decision tree
  • Uncertain points in a decision tree
  • Branches represent all possible outcomes that can result at that point
  • Probabilities assigned to each branch
    o Probabilities of all branches from that node must add up to 1
21
Q

Chance node can lead to

A
  • Decision node
  • Chance node
  • Terminal branch
22
Q

Paths

A
  • Stream of events over time
  • Bounded by a decision node and final outcome event
    o In between: number of decision nodes and chance nodes
  • Each is unique and represents alternative choices and events that can occur
23
Q

Terminal branches

A
  • Far right of decision tree
  • Each has an outcome specific to that chain of events of that branch
  • Outcome value is assigned to the terminal branch
24
Q

Outcome values

A
  • Various endpoints must be differentiated
    o Usually done by assigning a cash value
    o In vet med: may be utilities rather than cash values
25
Q

Expected monetary values: If you had only 20% chance of receiving a $500 bill in a game, how much would you be willing to pay to play that game?

A
  • Expected monetary value=$100
  • *probability of wining multiplied by amount you would win
26
Q

Folding back decision tree

A
  • Work backwards from R to L
  • Calculate expected monetary value for each pathway
  • Costs along each pathway must be taken into account
  • *most advantageous value is assigned to that decision node and other choice is ‘pruned out’
27
Q

Expected value=

A

value of branch multiplied by probability it will occur

28
Q

Expected value at the node=

A

sum of expected values of all branches at that node

29
Q

To maximize profit the best decision is the branch with the

A
  • Highest expected value