Effects of National Economic Scenarios on the Chicago Region

By Tae-Jeong Kim (04-07-2009)

 

How will the Chicago economy be affected by forecasted changes in the US economy as a whole?  In this brief report, an analysis is provided of recently published forecasts for the US economy issued by the Federal Reserve Board.  These national forecasts are used by REAL in generating forecasts for the Chicago regional economy; hence, changes in national scenarios will have impacts on Chicago forecasts.

 

Table 1 highlights the national scenarios; IHS Global Insight’s national forecasts are the ones used by REAL to drive the Chicago model; their initial and revised forecasts are shown as well as those for the Federal Reserve Board and subsequent modifications for 2009 and 2010.  Both alternative forecasts suggest a decline in GDP in 2009 with recovery anticipated in 2010.  However, the recovery in GDP growth is expected to be accompanied by an increase in the unemployment rate.

 

Table 1: National Scenarios

 

National Scenario

2009

2010

GDP growth

(%)

Unemployment

Rate (%)

GDP growth (%)

Unemployment

Rate (%)

Global Insight:

Original version

1.0

6.1

2.9

5.9

Global Insight:

Updated version

-1.0

7.7

1.7

8.2

Federal Reserve:

Baseline

-2.0

8.4

2.1

8.8

Federal Reserve:

Alternative

-3.3

8.9

0.5

10.3

 

Since the Fed’s announced projections are only for GDP growth rate and unemployment rate in 2009 and 2010; the forecasts for other macro-variables are not available to the public.  Therefore, we computed the averages of elasticity of each key macro-variable with regard to the growth of GDP for the previous 20 years.  Then we estimated the path of national consumption, income and production in 2009 and 2010 by using these average elasticity values.  However, the paths of population, price level and financial indicators are assumed to be same as those of HIS Global Insight’s updated projection.

 

The impacts on the Chicago economy are shown in Table 2 for Gross regional Product (CGRP), total production (CXTOT), total income (CYTOT) and total employment (CNTOT).  Table 3 shows the impacts on Chicago’s growth rates for GRP and unemployment.  Using the revised Fed forecasts, when entered in the Chicago model, the region’s GRP would decline by almost 3% in 2009 and grow at just over one third of the rate forecast with the original Fed estimate.  Unemployment rates would rise to >10% in 2009 and over 11.6% in 2010.  Job losses over the original forecasts would exceed 100,000 in both years.

 

None of these forecasts provides for any mitigating effects due to the stimulus package

 

Table 2: Impacts on the Chicago Economy

 

National Scenario

2009

2010

CGRP

CXTOT

CYTOT

CNTOT

CGRP

CXTOT

CYTOT

CNTOT

Global Insight:

Original version

  302,971

     701,981

     217,135

         4,944

     306,887

     709,994

     218,118

         4,957

Global Insight:

Updated version

     299,699

     670,529

     213,345

         4,884

     302,766

     680,913

     215,009

          4,913

Federal Reserve:

Baseline

     296,885

     666,428

     212,764

         4,867

     301,337

     679,608

     215,013

         4,907

Federal Reserve:

Alternative

     294,483

     658,890

     211,281

         4,839

     296,177

     663,474

     211,900

         4,850

 

 

 

Table 3: Impacts on GRP Growth Rate and Unemployment Rate in Chicago

 

         

National Scenario

 

2009

2010

GRP growth

(%)

Unemployment

Rate (%)

Change in Employment

GRP growth (%)

Unemployment

Rate (%)

Change in Employment

Global Insight:

Original version

-0.39

6.9

-

1.29

6.6

 

Global Insight:

Updated version

-1.22

8.8

-60,000

1.02

9.1

-44,000

Federal Reserve:

Baseline

-2.15

9.7

-77,000

1.50

9.8

-50,000

Federal Reserve:

Alternative

-2.94

10.3

-105,000

0.58

11.6

-107,00

 

 

 

 

Tae-Jeong Kim is a Ph.D. candidate in economics and a Research Assistant in the Regional Economics Applications Laboratory, University of Illinois.  tkim35@illinois.edu

Updated in November 2008.

 Elasticity = (% growth of corresponding variable) / (% growth of GDP).   

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