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Measuring the Cost of Holdout: Size and Sequencing in Land Assembly Yuming FuNational University of

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Title: Measuring the Cost of Holdout: Size and Sequencing in Land Assembly Yuming FuNational University of


1
Measuring the Cost of Hold-out Size and
Sequencing in Land AssemblyYuming
Fu National University of SingaporeDan
McMillen University of Illinois at ChicagoTsur
Somerville University of British Columbia
  • November 2004

2
Hold-out Development A Primer
  • Hold-out Market for Corporate Control - Grossman
    Hart (1980)
  • Inefficient level of takeovers
  • Firm currently trading _at_ share value VtX
  • Raider believes she can raise to Vtn Xd
  • Shareholders will not sell below XltEt(Vtn) Xd
  • Positive free rider externality- sub-optimal
    level of takeovers
  • Efficiency requires dilution of rights of
    non-sellers
  • Land Assembly
  • Inefficient assembly
  • Optimal development size requires assembly of
    parcels
  • Development profits rising in lot size
  • Assembled lots more valuable than fragmented
    ownership
  • Landowners want to share in development profit
  • Dilution of rights forced sales

3
What this Paper Does
  • Measures Cost of Hold-out
  • Whats the premium?
  • Distribution of the development rents
  • Developer vs. landowners
  • Which landowners?
  • Studies Sequencing of Assembly
  • Simultaneous or sequenced assembly?
  • What determines the sequence?
  • Measures the Size Price Relationship
  • Convex vs. concave shape

4
Bottom Line Quickly Delivered
  • Hold-out Cost Assembly Premium
  • Last lot assembled 20 premium
  • Assembled lots 14 premium
  • Lots to be assembled -8-10 discount
  • Premium falls as last lots share of assembled
    parcel grows
  • Only last lot gets Hold-out premium
  • Sequencing
  • Minimize sharing of dev. profit lots w/ larger
    share of assembled size are more likely to be
    assembled last
  • Maximize flexibility corner lots are assembled
    last
  • PriceSize Relationship
  • For very small urban lots, price/sf is rising in
    lot size
  • Flattens out at 5,000 sf

5
Why Development Hold-out?
  • Contribution to Corporate Finance We Measure
    Hold-out
  • Cleaner test than with equities
  • Land is discrete
  • Differentiate between hold-out and other factors
  • Can address other issues
  • Compare simultaneous vs. sequential acquisition
  • Differentiate results by degree of Hold-out power
  • Contribution to Urban
  • Land Appraisal Measure parcel size
    relationship
  • Urban Policy
  • role of land assembly in determining urban form
  • Assessing value of eminent domain reasonable?

6
Hold-out Literature Corporate Finance
  • Lots of Theory Papers
  • Equities Empirical - Literature on
    Merger/Takeover Premiums
  • Large 19-35 vary by on period (Jarrell,
    Brickely Nutter 1988)
  • Sensitive to many factors ex payment method
    (Auerbach 1988)
  • Does existence of premium proof of hold-out?
  • Lit. doesnt differentiate hold-out from Nash
    bargaining allocation
  • Differences in hold-out power among shareholders
    are not identified
  • Techniques around free-riding
  • What ownership gives corporate control?
  • Super-majority powers
  • Loss of liquidity for non-tendered offers reduces
    value of hold-out
  • Empirical Bonds Literature on Default Workout
  • Ex Chatterjee, Dhillon, Ramirez (1995)
  • Coercion is effective in limiting hold-out
  • No evidence of loss from being subject to
    coerceion

7
Sequential BargainingRoom For Contribution
  • Bargaining Literature Searching for Equilibrium
    / Coalitions
  • Sequential repeated interaction w/ same
    partners
  • Three-party games
  • Corporate Finance
  • Hold-out
  • Staged offers because of rival bidders
  • Toeholds to avoid hold-out -(Bulow, Huang
    Kemperer 1999, Betton Eckbo 2000)
  • Mergers and Sequencing
  • 1 buyer, 2 targets sequential vs. simultaneous
    (Linquest and Stennek 2001)
  • 3 firms w/ synergies - merge/dont merge,
    simultaneous/sequential (Gomes 2004)
  • Land Assembly Sequencing w/ Homogenous Lot Size
    Asami Teraki (1990)
  • Order of interest spatial interior vs. corner
    number
  • Nash outcome - prices are convex in assembly
    order
  • Optimal assembly strategy is to maintain
    flexibility
  • Price depends on ratio of developers lots (not
    sequential) - Asami (1988)
  • Acquire interior lots first

8
Hold-out LiteratureLand Assembly Redevelopment
  • Theory Only No Empirical Work
  • Urban Renewal - OFlaherty (1995) Denman
    (2000)
  • Direct application of Grossman Hart
  • Comparing market vs. eminent domain in rights
    dilution
  • For identical lots, prices are equal
  • Assembly w/ Landowner Heterogeneity - Eckart
    (1985) Strange (1995)
  • Simultaneous bargaining assemble all lots or no
    assembly
  • Equilibrium outcome
  • Higher land price for small parcels - Lower
    opportunity cost of failure
  • Land prices for assembly rise w/ number of lots
    to assemble

9
Plottage vs PlattageSize-Value Relationship
  • Plottage - Land price increases w/ size
  • Scale economies in land-use construction
    efficiency
  • Urban Issue
  • Plattage- Land price decreases w/ size
  • Diminishing marginal value of area.
  • Suburban issue
  • Empirical Results
  • Analysis of suburban lots - mainly Colwell
    large earlier appraisal literature)
  • Colwell Sirmans (1983) find concavity
  • Thorsnes McMillen (1998) Semi parametric
    estimation find concavity
  • Colwell Munneke (1999) Use Chicago urban lots
    still concave
  • Mean Lot size 282,000 sf
  • Mean distance to CBD 16.6 miles
  • Only 30 in Chicago city limits
  • What land is vacant in Chicago core?

10
Tests Hypotheses
  • Is there a Hold-out premium?
  • Distribution of premium among landowners
  • Equal?
  • Unequal
  • Convex in assembly order?
  • Greater Premium for smaller lots / smaller share?
  • Price- lot size relationship
  • Sequencing
  • Large lots first lower opportunity cost of
    assembly failure
  • Small lots minimize Hold-out risk to
    development profits
  • Corner lots last minimize hod-out risk

11
Land Transaction Data
  • Hong Kong in built-up urban areas (HK Island
    Kowloon)
  • active redevelopment activities during our sample
    period from 1991 to 1998
  • 715 parcel sales usable for analysis, 412 w/
    assembly
  • Deflated w/ property type specific price indexes
  • Identification of land value from building
    transactions
  • Only lots that subsequently redevelop
  • their prices would equal the price of the parcel
    net of demolition cost (see Helsley Rosenthal
    1994)
  • Take into account estimated cash flow until
    redevelopment
  • Control for use, max. allowed floor area, time
    until development
  • Sub-set where we know size of existing building

12
Table 1 - Summary Statistics
13
Empirical Methodology
  • Two Estimation Approaches
  • OLS w/ fixed effects dummies
  • Semi-parametric w/ location lot size
    non-parametric
  • Semi-parametric techniques
  • Examples (Stock, 1991, Pace 1995, Anglin Gencay
    1996, Thorsnes McMillen 1998)
  • We use Robinsons (1988) two-stage methodology
  • lnyi Xi? f(zi) ui
  • E(lnyi zi), residual ey E(Xi zi), residual ex
  • Locally weighted regression (Cleveland Devlin
    1988)
  • Regress ey on ex to estimate ?

14
Table 2 Log ( per Sq Ft)
15
Figure 1Lot Size Price per Square Foot
RelationshipSemi-Parametric Estimates Cardinal
Ordering
16
Figure 2 Lot Size Price per Square Foot
RelationshipSemi-Parametric Estimates Ordinal
Ordering
17
Table 3 Log ( per Buildable Sq. Ft.)
18
Figure 3 Lot Size Price per Buildable Square
Foot Relationship Semi Parametric Estimates-
Cardinal Ordering
19
Figure 4Lot Size Price per Buildable Square
Foot RelationshipSemi-Parametric Estimates
Ordinal Ordering
20
Why Convex Relationship (Plottage) Is Not
Commonly Observed in Empirical Studies?
  • Not the right data
  • Use suburban large lots
  • When used urban lots are weird
  • Identification can be challenging
  • Construction costs falling in lot size yields
    convexity
  • Hold-out potential for smaller parcels will
    inflate their relative price
  • Decreasing convexity / increasing concavity

21
Table 4 Sequential Assembly
22
Concluding Remarks
  • On assembly
  • Hold-out premium exists
  • Last lot groups of assembled lots only
  • Greater for smaller lots (by share of eventual
    assembly size)
  • Price-size relationship
  • Suspect driven by construction costs
  • Hold-out can work both directions
  • Sequencing
  • Matters for land assembly
  • Strategic
  • Implications for policy
  • Land assembly creates value
  • Holdup can discourage land assembly
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