An analysis of the effects of M.U.R.B. legislation on Vancouver’s rental housing market
Bibliographic record
Abstract
The purpose of this paper is to examine the. impact of federal M.U.R.B. legislation on Vancouver's rental housing market, and to see what conclusions can be drawn about the effectiveness of this subsidy policy in achieving its objective, which was to increase the allocation of resources to the housing sector of the economy by stimulating the construction of rental units. It is the thesis of this paper that the M.U.R.B. legislation was not effective in achieving its objective, since the inelasticity of the land supply function, as imposed by junior levels of government through zoning and other supply constraints, prevented the rental market from responding to these incentives in the form of increased production. It is hypothesized that the real effect of the program was to create windfall gains for existing owners of multiple family zoned land at the time the legislation was passed. It is argued further that real estate markets are more efficient than they are generally given credit for, in the sense that tax shelter benefits associated with M.U.R.B. properties will be fully capitalized into the value of such properties, thus preventing M.U.R.B. investors from earning rates of return superior to those earned by owners of comparable non-M.U.R.B. properties. The paper begins with a brief history of M.U.R.B. legislation, and an analysis of the magnitude and cost of the program to the Canadian government. This is followed by a graphical analysis of the impact of M.U.R.B. legislation on the multiple family housing market, and a discussion and review of the literature pertaining to the theory of efficient markets, the capitalization of costs and benefits into value, and the various models of land value which have been formulated. Two theoretical models are then presented as the underlying basis for the empirical research in the paper. The first is a valuation function for apartment investments, where the dependent variable is the selling price of an apartment building; the second is a model of the determinants of multiple family land values, where the dependent variable is the price of a site. The two theoretical models are tested using multiple regression techniques. The data results provide evidence which contradicts the general case for the operation of the multiple family housing market, where renters should receive the full benefits of the M.U.R.B. program in the form of lower rents. The research shows that the future tax shelter benefits associated with M.U.R.B. properties are fully capitalized into the market values of completed M.U.R.B. buildings, and that M.U.R.B. investors do not earn rates of return superior to those of investors in non-M.U.R.B. apartment properties. The research suggests further that the expected M.U.R.B. tax shelter benefits were over-capitalized into higher land value premiums during the life of the program, thus creating windfall gains for existing landowners at the time the program was introduced. The results suggest that the full capitalization of M.U.R.B. benefits into both land and apartment block values resulted in all of the benefits of the subsidy policy not filtering through to renters. Some benefits most likely did reach renters, since it is unrealistic to assume no substitution in the production function for apartments, but the actual distribution of policy benefits between renters and existing landowners cannot be measured within the scope of this research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".