Optimization is about making the best choice given the available options.
Factors to consider when comparing apartments:
Rent cost
Commute time
Examples of apartment locations and their rent and distance from downtown:
Downtown Anchorage: 0 miles, $1,621
Hillside Anchorage: 5 miles, $1,811
Wasilla: 43 miles, $1,373
Palmer: 43 miles, $1,345
Eagle River: 20 miles, $1,626
Downtown LA: 0 miles, $2,785
Santa Clarita: 34 miles, $2,564
Fontana: 50 miles, $1,905
Reasons why people may not always make the best choice:
Uncertainty/risk: Unforeseen changes that are beyond control.
Limited information: Not having all the necessary details.
Complexity: Difficulty in processing available information.
Inexperience: Lack of knowledge in a particular situation; experience leads to better outcomes.
People exhibit different risk preferences depending on the domain (e.g., financial risk vs. health/safety risk).
Refer to related work by Elke Weber.
Behavioral Economics (Econ 123) studies why people optimize in some situations but not in others.
Examples of situations where people may not optimize:
Self-control problems (procrastination, addiction, etc.)
Inexperience or being new to a task
Consider only time and rent cost.
How do you value time (opportunity cost)?
Example work locations and distances:
City center
Very close: 5 miles
Close: 10 miles
Far
Very far
If the round-trip commute takes 20 hours/month (very far) and the opportunity cost of time is $10/hour, then the dollar cost of that commute is:
20 \frac{hours}{month} \times $10 \frac{$}{hour} = $200 \frac{$}{month}
Suppose your opportunity cost is $10 per hour:
Apartment | Commuting Time (hours/month) | Rent ($/month) |
---|---|---|
Very Close | 5 hours | $1,180 |
Close | 10 hours | $1,090 |
Far | 15 hours | $1,030 |
Very Far | 20 hours | $1,000 |
$10 per hour opportunity cost:
Apartment | Commuting Time (hours/month) | Commuting Cost ($/month) | Rent ($/month) | Total Cost: Rent + Commuting ($/month) |
---|---|---|---|---|
Very Close | 5 hours | $50 | $1,180 | $1,230 |
Close | 10 hours | $100 | $1,090 | $1,190 |
Far | 15 hours | $150 | $1,030 | $1,180 |
Very Far | 20 hours | $200 | $1,000 | $1,200 |
Total Cost = Rent + Commuting & Opportunity Cost
Example with $10 per hour opportunity cost shows the 'Far' apartment as the optimum.
$15 per hour opportunity cost:
Apartment | Commuting Time (hours/month) | Commuting Cost ($/month) | Rent ($/month) | Total Cost: Rent + Commuting ($/month) |
---|---|---|---|---|
Very Close | 5 hours | $75 | $1,180 | $1,255 |
Close | 10 hours | $150 | $1,090 | $1,240 |
Far | 15 hours | $225 | $1,030 | $1,255 |
Very Far | 20 hours | $300 | $1,000 | $1,300 |
Illustration of total cost curves for employees with $10/hour and $15/hour opportunity costs of time.
The optimum apartment choice varies based on the opportunity cost.
An alternate way of analyzing: Marginal Analysis.
Instead of looking at total costs and total benefits, we can look at incremental changes.
Marginal Effect: The change in the total as quantity changes by one.
Examples: Grades, weight, etc.
Optimization using marginal analysis is often faster to implement than optimization using total value because optimization using marginal analysis focuses only on the ways that alternatives differ.
Marginal analysis forces us to focus on what is changing when we compare alternatives.
Dense urban to semi-urban?
Costs …
Benefits …
4 vs. a 5-day trip?
Costs of the 5th day …
Benefits of the 5th day …
If Benefits > Costs, then take the 5th day.
Translate all costs and benefits into common units, like dollars per month.
Calculate the marginal consequences of moving between alternatives.
Choose the best alternative with the property that moving to it makes you better off and moving away from it makes you worse off.
We’ll solve the problem and the optimum won’t change—but the way that you think about the problem will.
Apartment | Commuting Cost | Marginal Commuting Cost | Rental Cost | Marginal Rental Cost | Total Cost | Marginal Total Cost |
---|---|---|---|---|---|---|
Very Close | $50 | $1,180 | $1,230 | |||
Close | $100 | $50 | $1,090 | -$90 | $1,190 | -$40 |
Far | $150 | ? | $1,030 | ? | $1,180 | ? |
Very Far | $200 | ? | $1,000 | ? | $1,200 | ? |
Apartment | Commuting Cost | Marginal Commuting Cost | Rental Cost | Marginal Rental Cost | Total Cost | Marginal Total Cost |
---|---|---|---|---|---|---|
Very Close | $50 | $1,180 | $1,230 | |||
Close | $100 | $50 | $1,090 | -$90 | $1,190 | -$40 |
Far | $150 | 50 | $1,030 | -60 | $1,180 | -10 |
Very Far | $200 | 50 | $1,000 | -30 | $1,200 | +20 |
Moving from Very Close to Close is $40 less per month: MOVE.
Moving from Close to Far is $10 less per month: MOVE.
Moving from Far to Very Far is $20 more per month: DO NOT MOVE.
An optimal feasible alternative has the property that moving to it makes you better off and moving away from it makes you worse off.
Illustration of Total Cost Curve with Marginal Costs highlighted between apartment options.
Q: How does location affect the rental cost of housing?
Wilson and Frew (2002)
Ring Road system around Portland.
Rent around the Portland area for comparable apartments.
Commute time vs. Rental Prices.
Apartment Rent in Portland, Oregon, Depends on Distance from the City Center
Approximate location of highways that ring the city center.
Graph showing rent decreasing as distance from the city center increases.
Estimating the Connection between Location and Property Value
James Frew & Beth Wilson
Pages 17-25 | Published online: 14 Jun 2020
Abstract: A hedonic regression model of rent values that is used to assess property values in Portland, Oregon, an urban area that has multi-centric rent gradients, is presented.
“In most cities, though not all, the farther you are from the city center, the more rental costs fall (holding apartment quality fixed). For example, in Portland, Oregon, rents fall by 33 percent as you move from the city center to otherwise identical apartments 6 miles out of town.”
The median rent for 2 bedroom apartments in Anchorage, AK is $1,531.
The price range for 2 bedroom apartments is $945 to $2,995.
In the last year, rent has increased by $46 compared to the previous year.
The median rent for 2 bedroom apartments in Eagle River, AK is $1,292.
The price range for 2 bedroom apartments is $1,200 to $1,700.
In the last year, rent has increased by $316 compared to the previous year.
The median rent for 2 bedroom apartments in Wasilla, AK is $1,450.
The price range for 2 bedroom apartments is $1,200 to $1,800.
In the last year, rent has increased by $600 compared to the previous year.
Q: How much would drivers benefit if tolls were eliminated on the Massachusetts Turnpike?
A major highway (I-90) that runs through Massachusetts.
A portion of the Pike, west of Boston, is tolled.
The tolls raise about $150 million per year (2016).
The tolls are used to pay for highway maintenance and other transportation projects.
Removal of the tolls would benefit drivers by saving them time and money.
However, it would also reduce the amount of money available for transportation projects.
The Massachusetts Department of Transportation (MassDOT) studied the effects of removing the tolls (2016).
MassDOT estimated that removing the tolls would:
Save drivers about $27 million per year in toll payments.
Save drivers about $25 million per year in time costs (due to reduced congestion).
The costs of removing the tolls would include:
A reduction in the amount of money available for transportation projects.
An increase in congestion on the Pike.
MassDOT concluded that the benefits of removing the tolls would outweigh the costs.
However, the decision to remove the tolls is ultimately a political one.
Q: How much would drivers benefit if tolls were eliminated on the Massachusetts Turnpike?
A major highway (I-90) that runs through Massachusetts.
A portion of the Pike, west of Boston, is tolled.
The tolls raise about $150 million per year (2016).
The tolls are used to pay for highway maintenance and other transportation projects.
Removal of the tolls would benefit drivers by saving them time and money.
However, it would also reduce the amount of money available for transportation projects.
The Massachusetts Department of Transportation (MassDOT) studied the effects of removing the tolls (2016).
MassDOT estimated that removing the tolls would:
Save drivers about $27 million per year in toll payments.
Save drivers about $25 million per year in time costs (due to reduced congestion).
The costs of removing the tolls would include:
A reduction in the amount of money available for transportation projects.
An increase in congestion on the Pike.
MassDOT concluded that the benefits of removing the tolls would outweigh the costs.
However, the decision to remove the tolls is ultimately a political one.