IMF国际货币组织全球-Canada_Selected-Issues_73页_2mb

Summary of the Canada Selected Issues Paper

Core Content

This document, prepared by the International Monetary Fund (IMF) in June 2019, focuses on three key topics: assessing house prices in Canada, improving inflation forecasting, and internal trade liberalization. The paper provides an analysis of housing markets, inflation models, and trade barriers across Canadian provinces.

House Prices in Canada

Main Findings

• The paper uses a static borrowing-capacity (SBC) approach to evaluate house prices, which considers household income, mortgage interest rates, and leverage requirements.
• House prices in most Canadian census metropolitan areas (CMAs) are aligned with borrowing capacity, suggesting that they are not significantly overvalued.
• However, in Hamilton, Toronto, and Vancouver, house prices are significantly higher than attainable levels, with pricing gaps reaching around 50% in Toronto and Vancouver and almost 60% in Hamilton in 2018.
• These deviations from fundamentals are attributed to supply-side constraints and speculation, and are not without precedent, as seen in Calgary and Edmonton during 2006–2012.
• Declining mortgage rates have contributed to rising house prices, while increasing interest rates have had a downward pressure on prices.
• The loan-to-income (LTI) and price-to-income (P/I) ratios have increased due to lower interest rates, making housing less affordable.
• Strong income growth is needed to close the pricing gap in Hamilton, Toronto, and Vancouver. For example, Toronto and Vancouver would require cumulative annual growth rates (CAGRs) of 9.3% and 8%, respectively, to close the gap over five years.
• Policy measures that increase borrowing capacity (e.g., longer amortization periods or loan subsidies) are likely to further inflate prices unless housing supply increases significantly.

Policy Implications

• To durably improve housing affordability, the focus should be on increasing housing supply rather than simply expanding credit access.
• Monetary and macroprudential policies can be assessed using the SBC model, as it allows for real-time analysis and incorporates key variables like income and interest rates.

Inflation Forecasting in Canada

Main Findings

• The paper examines real-time inflation forecasts by the Bank of Canada, highlighting the challenges in forecast accuracy.
• Inflation persistence and cross-correlations are analyzed, showing that inflation is not always mean-reverting.
• Forecast errors are discussed, with the output gap and neutral nominal policy rate being key factors in explaining these errors.
• The neutral policy rate is difficult to estimate in real time and is influenced by economic conditions and market expectations.

Policy Implications

• Inflation forecasting requires better real-time data and improved modeling techniques to account for structural shifts and expectations.
• Policy messages emphasize the need for greater transparency and more robust models that incorporate output gaps and real-time indicators.

Internal Trade Liberalization in Canada

Main Findings

• The paper explores the case for liberalizing internal trade in Canada, arguing that trade barriers within the country have significant economic costs.
• Interprovincial trade is compared to international trade, highlighting that internal trade barriers are often more costly and less transparent.
• Methodology for estimating the costs of internal trade barriers includes sectoral analysis, province-specific data, and dynamic modeling.
• Estimates show that internal trade barriers are costly, particularly in goods and services, and that liberalization could yield substantial economic gains.
• Historical examples from other countries suggest that internal trade liberalization can lead to increased efficiency, higher growth, and better resource allocation.

Policy Implications

• Free internal trade could be secured by the Federal Government, but it requires political will and cooperation among provinces.
• Public support for internal trade liberalization is present, though implementation may face challenges.
• The paper also discusses the future prospects of trade liberalization, including the Canada-United States Free Trade Agreement (CFTA), and suggests that progress is likely, but outcomes will depend on policy coherence and economic conditions.

Key Information

• The SBC model is used to assess house prices and is based on household income, interest rates, and leverage ratios.
• Data sources include the Real Property Solutions (RPS) database, Teranet, Statistics Canada, and Haver Analytics.
• Inflation forecasting is a critical component of monetary policy, and the paper highlights the need for better real-time data and modeling.
• Internal trade liberalization is seen as a strategic goal to improve economic efficiency and growth, though implementation requires careful consideration of provincial interests and public opinion.

Conclusion

The paper concludes that while house prices in most Canadian regions are aligned with economic fundamentals, Hamilton, Toronto, and Vancouver are experiencing significant overvaluation. Inflation forecasting requires improved models and real-time data, and internal trade liberalization offers substantial benefits but faces political and structural challenges. The SBC model is a useful tool for assessing housing affordability and the impact of policy measures, but housing supply must be increased to sustain affordability.