"We are hoping that over time the data will improve," Loungani said. "For example, IMF country teams may look at our Index and let us know of a better source of information for their country. What we have done is a good first pass at pulling together statistics, but eventually countries may point us to better housing statistics."
New Zealand figures as a top-performer in those statistics: second-highest house price to rent ratio, behind Canada; third-highest annual price increase - beaten out by Hong Kong and the Philippines, and; fourth-highest in the house price to income category.
Should New Zealand be worried?
In his blog celebrating the new Global House Price Watch, IMF deputy head, Min Zhu, warns that "our research indicates that boom-bust patterns in house prices preceded more than two-thirds of the recent 50 systemic banking crises".
However, Zhu also says it's difficult to correctly identify the early warning signs.
"First, assessing when house prices are out of line with economic fundamentals is as much art as science," he says. "Second, the policy toolkit to manage housing cycles is still under construction."
Loungani refers to the housing policy tools under the advertising-, or child-, friendly slogan, "Mip-Map-Mop", short for:
• microprudential (Mip) policies look at an individual bank's balance sheet, for example to determine if it is making too many real estate loans;
• macroprudential regulations (Map), operating at the level of the financial sector as a whole, come into play; and
• monetary policy (Mop).
Zhu urges everyone to get on the Mip-Map-Mop bandwagon, which NZ surely has, despite the experimental nature of the methods and concerns about data.
"The interlocking use of multiple tools might overcome the shortcomings of any single policy tool," he says. "We need to move from 'benign neglect' to an 'all of the above' approach when it comes to policy choices."