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Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) (DISCONTINUED) (MIMAGRIDX)

Observations

Dec 2019: 1.21
Updated: Apr 14, 2020 4:33 PM CDT
Dec 2019:  1.21  
Nov 2019:  1.79  
Oct 2019:  0.24  
Sep 2019:  0.76  
Aug 2019:  2.24  

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Seasonally Adjusted Annual Rate

Frequency:

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Date:
Bar 1 - Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) Vintage: 2020-01-14
Bar 1
(a) Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA), Percent, Seasonally Adjusted Annual Rate (MIMAGRIDX)
The economic activity index measures average economic growth in the metropolitan area. It is computed using a dynamic factor model that includes 12 variables measuring various aspects of economic activity in the MSA. The index is calibrated to Gross Metropolitan Product (GMP) growth and variance to allow for comparison across metro areas. For additional details, see Arias, M.A., C.S. Gascon and D.E. Rapach (2016), “Metro Business Cycles,” Journal of Urban Economics 94, 90-108, http://www.sciencedirect.com/science/article/pii/S009411901630016X. Federal Reserve Bank of St. Louis Working Paper 2014-046C, https://research.stlouisfed.org/wp/more/2014-046.

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    Bar 1 - Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) Vintage: 2020-01-14
    Bar 2
    (a) Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) (DISCONTINUED), Percent, Seasonally Adjusted Annual Rate (MIMAGRIDX)
    The economic activity index measures average economic growth in the metropolitan area. It is computed using a dynamic factor model that includes 12 variables measuring various aspects of economic activity in the MSA. The index is calibrated to Gross Metropolitan Product (GMP) growth and variance to allow for comparison across metro areas. For additional details, see Arias, M.A., C.S. Gascon and D.E. Rapach (2016), “Metro Business Cycles,” Journal of Urban Economics 94, 90-108, http://www.sciencedirect.com/science/article/pii/S009411901630016X. Federal Reserve Bank of St. Louis Working Paper 2014-046C, https://research.stlouisfed.org/wp/more/2014-046.

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    Write a custom formula to transform one or more series or combine two or more series.

    You can begin by adding a series to combine with your existing series.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

      Finally, you can change the units of your new series.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

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      Bar 1
      Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) Vintage: 2020-01-14
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      Bar 2
      Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) (DISCONTINUED) Vintage: 2020-04-14
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      Notes

      Title Release Dates
      Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) 2014-12-19 2020-04-13
      Economic Conditions Index for Miami-Fort Lauderdale-West Palm Beach, FL (MSA) (DISCONTINUED) 2020-04-14 2020-04-14
       
      Source    
      Federal Reserve Bank of St. Louis 2014-12-19 2020-04-14
       
      Release    
      Metro Area Economic Conditions Indexes 2014-12-19 2020-04-14
       
      Units    
      Percent, 3-Month Moving Average 2014-12-19 2015-09-28
      Percent 2015-09-29 2020-04-14
       
      Frequency    
      Monthly 2014-12-19 2020-04-14
       
      Seasonal Adjustment    
      Seasonally Adjusted Annual Rate 2014-12-19 2020-04-14
       
      Notes    
      The economic activity index measures average economic growth in the metropolitan area. It is computed using a dynamic factor model that includes 14 variables measuring various aspects of economic activity in the MSA.

      The index is calibrated to Gross Metropolitan Product (GMP) growth and variance to allow for comparison across metro areas. The observations are 3-month moving averages from the monthly index, so each value represents the average (positive or negative) economic growth in the metro area over the previous three months.



      For additional details, see "Metro Business Cycles" (Arias, Gascon, and Rapach (2014)) http://research.stlouisfed.org/wp/more/2014-046/.

      		2014-12-19 2015-09-28
      The economic activity index measures average economic growth in the metropolitan area. It is computed using a dynamic factor model that includes 12 variables measuring various aspects of economic activity in the MSA. The index is calibrated to Gross Metropolitan Product (GMP) growth and variance to allow for comparison across metro areas.

      For additional details, see Arias, M.A., C.S. Gascon and D.E. Rapach (2016), “Metro Business Cycles,” Journal of Urban Economics 94, 90-108, http://www.sciencedirect.com/science/article/pii/S009411901630016X.
      Federal Reserve Bank of St. Louis Working Paper 2014-046C, https://research.stlouisfed.org/wp/more/2014-046.

      		2015-09-29 2020-04-14

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