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The Myth of First-Quarter Residual Seasonality

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Abstract

The current policy debate is influenced by the possibility that the first-quarter GDP data were affected by ?residual seasonality.? That is, the statistical procedures used by the Bureau of Economic Analysis (BEA) did not fully smooth out seasonal variation in economic activity. If this is indeed the case, then the weak readings of the economy in the first quarter give an inaccurate picture of the state of the economy. In this post, we argue that unusually adverse winter weather, rather than imperfect seasonal adjustment by the BEA, was an important factor behind the weak first-quarter GDP data.

Suggested Citation

  • Jan J. J. Groen & Patrick Russo, 2015. "The Myth of First-Quarter Residual Seasonality," Liberty Street Economics 20150608a, Federal Reserve Bank of New York.
    • Handle: RePEc:fip:fednls:87037
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    More about this item

    Keywords

    adverse weather shocks; residual seasonality; GDP Growth forecasting;
    All these keywords.

    JEL classification:

    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit
    • E2 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment

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