Implications of Population Aging on Real Housing Prices
•
1 like•833 views
This study projects the impact of population aging on future housing stock and prices in both provincial and national markets. Mario Fortin, Professor, Université de Sherbrooke
![Background ,[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
Recommended
Recommended
More Related Content
What's hot
What's hot (20)
Viewers also liked
Similar to Implications of Population Aging on Real Housing Prices
Similar to Implications of Population Aging on Real Housing Prices (20)
More from National Housing Research Committee - Comité national du recherche sur le logement
More from National Housing Research Committee - Comité national du recherche sur le logement (20)
Recently uploaded
Recently uploaded (20)
Implications of Population Aging on Real Housing Prices
- 1. The impact of population aging on the provincial housing markets in Canada Presentation to the CMHC Mario Fortin, Ph. D. Professor Département d’économique April 1 st , 2009
- 5. Ratio of 25-44 to 65+: eastern and central Canada
- 6. Ratio of 25-44 to 65+: Canada and western provinces
- 11. Change in stock : Eastern and central Canada
- 12. Change in stock : Canada and western provinces
- 13. Real housing price : eastern and central Canada
- 14. Real housing price : Canada and western provinces
- 24. Excess of housing units over the number of households
- 25. Excess of housing units over the number of households
- 34. Projected growth in the number of households
- 35. Number of households and housing units
- 36. Projection of the Canadian average housing price
- 37. Projections of provincial housing price (scenario 2)
Editor's Notes
- Real price peaked in BC in 1994. After slowly receding for 7 years, is exploded after 2001 to reach the top value of 400 000$ in 2007. Alberta’s prices steadily declined after 1981 and took a serious upward momentum only in 2005 to pass beyond the Canadian average in 2006. Manitoba and Saskatchewan have since lowest and most stable prices. In 2007, prices in Saskatchewan have been growing very fastly. The Canadian average mimics the price behaviour of Ontario: peaks in 1988, virtually stable real prices until 2000, then a steady growth to reach the recent peak of almost 280 000$.
- - To proxy the demand/supply imbalance caused by aging, I calculated the ratio between population size in the age group 25-44 (prime age) and population size in the 65+ age group. In all regions the ratio was almost stable in the 80s but has started to decline between 1986 (Quebec) and 1990. - New Foundland had the youngest population in the 80s but is becoming the oldest place : the ratio falls rapidly. In Quebec, the ratio if falling almost as rapidly. It is now Ontario that has the youngest population in eastern and central Canada.
- Alberta has by far the most favourable demographic ratio of all Canadian provinces. The oldest province is Saskatchewan.
- To adapt the formula to housing it is necessary to add, uncluding depreciation f such that the formula becomes (1+ )/(i + + f - )
- Point A is the initial long-run equilibrium. Following an increase in housing demand, caused by (for example) a rise in Y or a fall in r, the price jumps to B in the short run. High price increases the profit in home building and the supply starts moving to the right. The final equilibrium is at point C where price equals cost. There is a final short run vertical supply curve (not shown on the graph) that intersects the final demand curve a point C.
- Not surprisingly, the lowest addition to housing stock is in New Foundland and the faster is in Ontario.
- Addition to the housing stock has been much faster in western provinces, particularly in Alberta and British Columbia. Annual variations in BC were extremely wide between 1990 and 1998. Starting in 1998 and for 5 years, the annual growth was lower in BC than the Canadian average, but construction has since picked up. At the opposite, Manitoba and particularly Saskatchewan has had very low construction.
- The lowest price are observed in the Atlantic provinces and New Foundland and the highest is in Ontario Real price peaked in 1988 in Ontario and Quebec. It picked up again significantly only after 2000 in both provinces and have now exceeded the previous peak.
- Real price peaked in BC in 1994. After slowly receding for 7 years, is exploded after 2001 to reach the top value of 400 000$ in 2007. Alberta’s prices steadily declined after 1981 and took a serious upward momentum only in 2005 to pass beyond the Canadian average in 2006. Manitoba and Saskatchewan have since lowest and most stable prices. In 2007, prices in Saskatchewan have been growing very fastly. The Canadian average mimics the price behaviour of Ontario: peaks in 1988, virtually stable real prices until 2000, then a steady growth to reach the recent peak of almost 280 000$.
- Alberta has by far the most favourable demographic ratio of all Canadian provinces. The oldest province is Saskatchewan.
- Alberta has by far the most favourable demographic ratio of all Canadian provinces. The oldest province is Saskatchewan.
- In the price equation : Change in real income has a positive impact (7%) while change in the interest rate a strong and highly significant impact on housing price : a one percentage point rise decreases housing price by 4.7%. Lag price is not significant but lagged real income, interest rate and stock are significant. In the stock equation : a 1% increase in real price increases by 0.0245% the change in the stock while the lagged stock has a coefficient of -0.045. In the Canadian system, population change has a positive but not significant impact on price.
- In the price equation : Change in real income has a positive impact (7%) while change in the interest rate a strong and highly significant impact on housing price : a one percentage point rise decreases housing price by 4.7%. Lag price is not significant but lagged real income, interest rate and stock are significant. In the stock equation : a 1% increase in real price increases by 0.0245% the change in the stock while the lagged stock has a coefficient of -0.045. In the Canadian system, population change has a positive but not significant impact on price.
- In the price equation : Change in real income has a positive impact (7%) while change in the interest rate a strong and highly significant impact on housing price : a one percentage point rise decreases housing price by 4.7%. Lag price is not significant but lagged real income, interest rate and stock are significant. In the stock equation : a 1% increase in real price increases by 0.0245% the change in the stock while the lagged stock has a coefficient of -0.045. In the Canadian system, population change has a positive but not significant impact on price.
- In the price equation : Change in real income has a positive impact (7%) while change in the interest rate a strong and highly significant impact on housing price : a one percentage point rise decreases housing price by 4.7%. Lag price is not significant but lagged real income, interest rate and stock are significant. In the stock equation : a 1% increase in real price increases by 0.0245% the change in the stock while the lagged stock has a coefficient of -0.045. In the Canadian system, population change has a positive but not significant impact on price.
- In the price equation : Change in real income has a positive impact (7%) while change in the interest rate a strong and highly significant impact on housing price : a one percentage point rise decreases housing price by 4.7%. Lag price is not significant but lagged real income, interest rate and stock are significant. In the stock equation : a 1% increase in real price increases by 0.0245% the change in the stock while the lagged stock has a coefficient of -0.045. In the Canadian system, population change has a positive but not significant impact on price.
- In the price equation : Change in real income has a positive impact (7%) while change in the interest rate a strong and highly significant impact on housing price : a one percentage point rise decreases housing price by 4.7%. Lag price is not significant but lagged real income, interest rate and stock are significant. In the stock equation : a 1% increase in real price increases by 0.0245% the change in the stock while the lagged stock has a coefficient of -0.045. In the Canadian system, population change has a positive but not significant impact on price.
- Alberta has by far the most favourable demographic ratio of all Canadian provinces. The oldest province is Saskatchewan.
- Alberta has by far the most favourable demographic ratio of all Canadian provinces. The oldest province is Saskatchewan.
- Alberta has by far the most favourable demographic ratio of all Canadian provinces. The oldest province is Saskatchewan.