Haver Analytics
Haver Analytics
Global| Jan 03 2019

U.S. Construction Spending Continues to Weaken

Summary

The value of construction put-in-place eased 0.1% (+4.9% y/y) during October......... The construction spending figures, some of which date back to 1946 (e.g., public construction figures), are in Haver's USECON database and the [...]


The value of construction put-in-place eased 0.1% (+4.9% y/y) during October.........

The construction spending figures, some of which date back to 1946 (e.g., public construction figures), are in Haver's USECON database and the expectations figure can be found in the AS1REPNA database.

Construction Put in Place (SA, %) Nov Oct Sep Nov Y/Y 2017 2016 2015
Total ??? -0.1 -0.1 4.9 4.5 7.0 10.7
  Private ??? -0.4 0.4 3.9 7.1 9.2 12.9
    Residential ??? -0.5 0.1 1.8 12.4 10.7 14.2
    Nonresidential ??? -0.3 0.7 6.4 1.3 7.7 11.5
  Public ??? 0.8 -1.5 8.5 -3.2 0.7 5.1
  • Peter started working for Haver Analytics in 2016. He worked for nearly 30 years as an Economist on Wall Street, most recently as the Head of US Economic Forecasting at Citigroup, where he advised the trading and sales businesses in the Capital Markets. He built an extensive Excel system, which he used to forecast all major high-frequency statistics and a longer-term macroeconomic outlook. Peter also advised key clients, including hedge funds, pension funds, asset managers, Fortune 500 corporations, governments, and central banks, on US economic developments and markets. He wrote over 1,000 articles for Citigroup publications.   In recent years, Peter shifted his career focus to teaching. He teaches Economics and Business at the Molloy College School of Business in Rockville Centre, NY. He developed Molloy’s Economics Major and Minor and created many of the courses. Peter has written numerous peer-reviewed journal articles that focus on the accuracy and interpretation of economic data. He has also taught at the NYU Stern School of Business.   Peter was awarded the New York Forecasters Club Forecast Prize for most accurate economic forecast in 2007, 2018, and 2020.   Peter D’Antonio earned his BA in Economics from Princeton University and his MA and PhD from the University of Pennsylvania, where he specialized in Macroeconomics and Finance.

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