MIT Center for Real Estate Week 1: Introduction ã The space versus asset market: 4 Quadrant math. ã Real Estate Micro Economics: Hedonics, Location, density, government regulations. ã Real Estate Macro Economics: timing behavior (search,
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• Real Estate Macro Economics: timing
behavior (search, moving, contracts),
cycles, regional growth
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• Service flow, “Shelter”, rent plus imputed rent [20% + of GDP]
• Land? Not part of GDP (we don’t make
land), but it is part of wealth
• Accounting, measurement difficulties [book versus market value]
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Residential Buildings 183 3.3 Housing and Development
Nonresidential Buildings 118 2.1 Industrial
All Other Nonresidential 21 0.4 All Other
Nonbuilding Construction 37 0.7 Total New Construction
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Adapted from DiPasquale and Wheaton (1996)
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U.S Real Estate
MIT C state
$, in billions % $, in billions % $, in billions %
Adapted from DiPasquale and Wheaton (1996)
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Rent $
Stock (SF) Price $
Rent Determination Asset Market:
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• Exogenous variables: values that determine the
model’s variables, but which the models variables
in turn do not influence: i, E
• Equilibrium: Solution to the endogenous variables given exogenous values and parameters
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R = rent per square foot
[%change in sqft per worker/% change
in rent]
2) Demand = Stock = S
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6) Replacement version:
E= fixed C= δS [Construction equals depreciation (δ is depreciation rate)]
7) Steady Demand growth version:
∆E/E = δ Hence: C= δS [what if S grows less or more than E?]
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Rent $
Stock (SF) Price $
Trang 12Exhibit 2-4a: Effect of Demand Growth in Space Market: 4a: Effect of Demand Growth in Space Market: First phase…
Rent $
Stock (SF) Price $
long-Doesn’t form a rectangle
Trang 13Exhibit 2-4a: Effect of Demand Growth in Space Market: 4a: Effect of Demand Growth in Space Market: LR Equilibrium…
Rent $
Stock (SF) Price $
Trang 14Exhibit 2-4a: Effect of Demand Growth in Space Market: 4a: Effect of Demand Growth in Space Market: LR Equilibrium…
Rent $
Stock (SF) Price $
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Rent $
Stock (SF) Price $
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• What happens if Construction costs rise or the
supply schedule shifts?
• Suppose depreciation speeds up (functional
obsolescence dictates shorter life spans of
buildings)?
• How to interpret owner occupied space (e.g SFU housing)?
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National Multi-Housing Forecast
750.00 Forecast
1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007
Total Employment Growth (L) Real Rent (R) Completion Rate (L)
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1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001 2003 2005 2007
Total Employment Growth (L) Real Rent (R) Completion Rate (L)
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MIT C state
U.S Single-Family Market
Appreciation
1990-91 1980-81
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MIT C state
Broken Ground
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• No two properties are identical [complete product differentiation]
• Properties are close if not perfect substitutes for each other – at some price differential
• Price differentials are extremely large, and very predictable
• Price differentials tend to be stable over time:
local neighborhoods do not have independent
cyclic movements
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House prices reflect both unit characteristics and
MIT C state
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W estern 1 Far North Shore
W orcester Area Cambr dge Area North Central
1982 1983 1984 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002
Year
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Sources: OFHEO, Torto Wheaton Research
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Office Rents Move together Cyclically but not
Office Rents Move together Cyclically but not
always secularly
TW Rent Index, 2003$ per sqft
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Closely Correlated Industrial Rent Movements: few secular differences
TW Rent Index, 2003$ per sqft
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MIT C state
• Prices bring forth development: of any urban land use
• Development occurs so as to maximize the
residual value between: Price-capital costs
(construction)
• This residual is “land value” Development
maximizes land value
• Land Development is a natural real option: incur heavy capital costs to realize an income stream – or- wait (to do the same later) ?
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MIT C state
• Within “markets” all properties should move together: high substitutability, easy mobility
• Between markets there exists frictions, transportation costs, immobility of
resources and low substitutability
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MIT C state
Metropolitan Housing Markets
often move independently
2 83
184 185 186 1987 1988 1989 19
0 19
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