Colwell (JHE, 2002) on DW model
Journal of Housing Economics Overview
Citation: Journal of Housing Economics 11, 24–39 (2002) doi:10.1006/jhec.2001.0301
Author: Peter F. Colwell
Institution: Department of Finance, University of Illinois at Urbana—Champaign
Received: December 10, 2000
Introduction to the DiPasquale–Wheaton (DW) Model
Purpose: DW model illustrates long-run equilibrium in the aggregate real estate market and connects with financial capital markets.
Strengths:
Pedagogical power and compactness of presentation.
Weaknesses:
Assumes 'cap' rate is exogenous (fixed).
Requires trial and error to find long-run equilibrium.
Lacks clarity on short-run adjustments.
Ignores expectations and vacancies.
Enhancements to the DW Model
The paper aims to address the limitations of the DW model:
Adding new mechanisms to improve descriptive accuracy while accepting potential complexity increase.
Extensions include:
Description of the DW model.
Long-run supply introduction.
Analysis of parameter changes on equilibrium.
Refinement of the rent-price linkage.
Introduction of protracted adjustment.
Consideration of expectations and vacancies.
Concluding insights.
The Four Quadrant Structure of the DW Model
Quadrant Breakdown:
Northwest Quadrant: Links rent and price (critical in model).
Southwest Quadrant: Contains construction supply curve.
Southeast Quadrant: Reflects true depreciation.
Northeast Quadrant: Shows demand for rental units.
Linkage in Northwest Quadrant:
The 'cap' rate reflects the ratio of rent to price (higher 'cap' rate = steeper line).
Stability attributes of the 'cap' rate contribute to the model's rigidity.
Understanding Long-Run Equilibrium
Visual Representation Challenges:
Long-run equilibrium is determined by multiple vertices aligning across quadrants.
Suggests a rectangle can identify equilibrium through derived supply curves.
Long-Run Supply Curve Creation:
Connect points touching demand curves and LRS (long-run supply) to find equilibrium.
Equilibrium identified at intersection of LRS and demand curve.
Impact of Parameter Changes on Long-Run Equilibrium
Comparative Statics:
New equilibrium achieved by shifts in supply or demand.
Changes lead to visible adjustments in rents or construction levels as shown in table:
Increase in demand: No change in capital stock, increase in rent.
Increase in construction supply: Increase in capital stock, decrease in rent.
Changes in depreciation or operating expenses inverse relationship to capital stock.
Linking Rent to Price Correctly
Realization of True Cap Rate:
Cap rate connects net operating income (NOI) to price rather than directly linking rent.
Inclusion of gross income multiplier offers a more accurate representation.
Model Correction Implications:
Incorporation of operating expense ratios influences long-run supply function.
Protracted Adjustment Process Explanation
Adjustment Nature:
Time taken to switch from one long-run equilibrium to another includes cyclical overshooting and dynamic behavior.
Graphical Representation of Investment:
Distinction between gross investment and depreciation indicates net investment trend.
Expectations and Vacancies Introduction
**Demand Components:
Transaction Component:** Natural vacancy rates.
Speculative Component: Fluctuations in vacancy levels related to perceived price levels.
Effective Rent Model:
Adjusts for vacancy impacts on rental revenue, allowing for comprehensive demand insights.
Conclusion of Model Enhancements
Reflection on Improvements:
Adds clarity to the understanding of long-run equilibrium and factors influencing it while maintaining model accessibility.
Model Adaptation Trade-off:
Increased complexity may yield richer analysis but at the cost of simplicity.
References
Various academic references are included, emphasizing the extensive literature upon which the enhancements and assertions are built.