WASHINGTON -- With just a few days to go before new government spending cuts are set to take effect, what are the chances that another eleventh-hour action will avert the latest impending hit to the economy?
Very little, according to a survey of economists released Monday by the National Association for Business Economics. The group said that nearly 60 percent of economists now expect "sequestration," which will slice about $85 billion from the federal budget, to begin March 1 in full or partial form.
The survey of 49 professional economists, representing industry, government and universities, indicates that experts don't see a recession scenario as a result of the new spending cuts, as they did the "fiscal cliff" of tax increases and fiscal reductions, which were mostly avoided at the last minute at the start of this year.
More than half of these economists predicted that the effects of sequestration and other budget uncertainties would shave economic growth by less than half a percentage point this year. Another one-third said the pain would be greater, with real gross domestic product, or total economic output, sliced by up to a full percentage point.
Either way, that's no small number given the mediocre pace of GDP growth since the Great Recession of a little more than 2 percent on average. And many economists, policymakers and business people across the country have expressed fears that the indiscriminate nature of the cuts under sequestration will impose unnecessary hardships on certain programs such as Head Start for preschool children.
Total government spending and investments are now seen as falling by 1 percent this year from 2012, according to the median, or mid-point, of the responses from the economists surveyed. That is worse than the 0.6 percent drag forecast in the association's survey in December.
Real GDP is expected to expand by 2 percent this year, down a bit from the 2.2 percent GDP growth in 2012. The nation is projected to add 170,000 jobs a month on average, down from 181,000 last year, according to the median value of responses.