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These economists worry Canada has a data-quality problem

StatCan’s Economic Contraction Leaves Economists Perplexed

Canada’s economy contracted slightly over the first three months of the year, according to Statistics Canada’s latest data. Most economists, including those at the Bank of Canada, were caught off guard by this news, sparking concerns about the quality of the data.

David Dodge, a former governor of the Bank of Canada, pointed out that the data was a shock, highlighting the potential for errors in data collection and processing. “The first estimate of GDP (Gross Domestic Product) is always subject to revision,” he said, “but this was a big move, and it’s a concern that the underlying data might not be as robust as we think.”

Roy Ruffins, a senior economist at the Canadian Imperial Bank of Commerce (CIBC), emphasized the importance of high-quality data in making informed decisions. “If the data is not accurate, it’s like building a house on shifting sand,” he warned. “You can’t make good decisions if you’re not sure what’s really going on.”

So, what’s behind this data-quality problem? Some point to the increasing reliance on administrative data, which can be incomplete or inaccurate. Others suggest that the growing complexity of the economy is making it harder to collect and analyze reliable data.

What this means: The contraction of Canada’s economy might not be the only surprise in store for policymakers. If data quality issues persist, it could lead to poor decision-making and uncertainty about the economy’s health. As David Dodge noted, “You can’t make good decisions if you’re not sure what’s really going on.”

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