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BIE October 2013
Atlanta Fed Survey of Business Inflation Expectations
For immediate release: October 16, 2013
Contact: Jean Tate, 404-498-8035 or jean.tate@atl.frb.org
The year-ahead inflation expectations of businesses were 1.9 percent in October, according to the
Federal Reserve Bank of Atlanta’s most recent business inflation expectations (BIE) survey. The survey
was conducted October 7–11 with 216 firms responding to questions about their business conditions,
inflation outlook, and potential pricing pressures. The results are summarized below.

Year-ahead inflation expectations and current conditions
Respondents indicated that, on average, they expect unit costs to rise 1.9 percent over the next 12 months,
roughly in line with the recent year-ahead inflation forecasts of private economists. Inflation uncertainty
was unchanged at 2.4 percent in October. Firms also report that, compared to this time last year, their unit
costs are up 1.7 percent. Sales levels declined in October, with roughly 46 percent of respondents saying
their current sales levels are at or above normal compared to 52 percent in September. Profit margins also
declined, with only 41 percent of respondents indicating their profit margins are at or above normal,
compared to 49 percent in September.

Quarterly question: Long-term inflation expectations
Over the long term, that is, per year over the next five to 10 years, respondents expect unit costs to
increase 2.7 percent, on average, virtually unchanged from the July reading of 2.8 percent, but the lowest
measure to date. Respondents’ uncertainty regarding this expectation was 2.4 percent.

Special question: Year-ahead unit sales level growth expectations
The special question was also asked in November 2012 and April 2013. On average, respondents’ yearahead unit sales level growth expectations were virtually unchanged at 1.9 percent in October from 1.8
percent in April. However, year-ahead sales level growth expectations have improved considerably since
the November 2012 mean expectation of 1.2 percent.
Please see page 3 for a breakdown of the results.

For more information and interactive charts, visit the BIE survey site at www.frbatlanta.org/research/inflationproject/bie/.
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Monthly Questions
Year-Ahead Inflation Expectations and Uncertainty
(percent)

3.5
3.0
2.5

2.4

2.0

1.9

1.5
Uncertainty

1.0

Year-ahead unit cost expectations

0.5
0.0

Oct-12

Dec-12

Feb-13

Apr-13

Jun-13

Aug-13

Oct-13

Source: Atlanta Fed Business Inflation Expectations (BIE) Survey

Sales Levels and Profit Margins
Compared to Normal Times

Year-over-Year Unit Costs
(percent)

(diffusion index, 0+ = greater than normal times)

5
0
-5
-10
-15
-20
-25
-30
-35
-40
-45

3.5
3.0

Sales levels
Profit margins

2.5
1.7

2.0

-25

1.5
1.0

-29

0.5
Oct-12

Jan-13

Apr-13

Jul-13

0.0

Oct-13

Source: Atlanta Fed Business Inflation Expectations (BIE) Survey

Oct-12

Jan-13

Apr-13

Jul-13

Oct-13

Source: Atlanta Fed Business Inflation Expectations (BIE) Survey

Quarterly Question
Long-Term Inflation Expectations and Uncertainty
(percent, per year over the next five to 10 years)

3.5
2.7

3.0
2.5

2.4

2.0
1.5
Long-term Unit Cost Expectations

1.0

Uncertainty

0.5
0.0

Oct-12

Jan-13

Apr-13

Source: Atlanta Fed Business Inflation Expectations (BIE) Survey
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Jul-13

Oct-13

Special Question
Subjective Year-Ahead Unit Sales Level Growth Probabilities
(mean percent probability for each outcome)

40
November 2012: Mean = 1.2%

35

April 2013: Mean = 1.8%
October 2013: Mean = 1.9%

30
25
20
15
10
5
0
Sales levels down
(<-1%)

Sales levels about
unchanged
(-1% to 1%)

Sales levels up somewhat
(1.1% to 3%)

3

Sales levels up
significantly
(3.1% to 5%)

Sales levels up very
significantly
(>5%)

How do your SALES LEVELS compare with sales levels during what you consider to be “normal” times?
Much less

Somewhat
less

About normal

Somewhat
greater

Much
greater

Diffusion
index*

August

11%

36%

30%

20%

3%

-16

September

12%

36%

33%

18%

1%

-20

October

15%

38%

30%

16%

0%

-25

How do your current PROFIT MARGINS compare with “normal” times?
Much less

Somewhat
less

About normal

Somewhat
greater

Much
greater

Diffusion
index*

August

10%

45%

33%

10%

2%

-26

September

12%

39%

36%

13%

0%

-25

October

14%

45%

27%

14%

0%

-29

Up a lot
(>5%)

Mean

Looking back, how do your UNIT COSTS compare with this time last year?
Down
(<-1%)

About
unchanged
(-1% to 1%)

August

6%

25%

51%

14%

4%

1.7%

September

5%

26%

55%

11%

4%

1.7%

October

6%

23%

56%

12%

4%

1.7%

Up somewhat Up moderately
(1.1% to 3%)
(3.1% to 5%)

Projecting ahead, to the best of your ability, please assign a percent likelihood to the following changes to unit
costs over the next 12 months.

August

Down
(<-1%)

About
unchanged
(-1% to 1%)

Up
somewhat
(1.1% to 3%)

Up
moderately
(3.1% to 5%)

Up a lot
(>5%)

Mean
(Variance)

5%

25%

42%

20%

8%

2.0% (2.3%)

September

6%

27%

41%

17%

8%

1.9% (2.4%)

October

7%

26%

41%

18%

8%

1.9% (2.4%)

Quarterly Question: Projecting ahead, to the best of your ability, please assign a percent likelihood to
the following changes to unit costs per year over the next FIVE TO 10 years.
Unit costs
down
(<-1%)

Unit costs
about
unchanged
(-1% to 1%)

Unit costs up
somewhat
(1.1% to 3%)

Unit costs up
significantly
(3.1% to 5%)

Unit costs up
very
significantly
(>5%)

Mean

February (89)

4%

11%

38%

29%

17%

2.9% (2.8%)

April (152)

4%

12%

36%

30%

18%

3.0% (2.6%)

Month
(number of responses)

July (153)

4%

15%

36%

26%

19%

2.8% (2.9%)

October (196)

4%

13%

36%

30%

17%

2.9% (2.7%)

January (196)

3%

12%

32%

28%

23%

3.0% (2.5%)

April (189)

4%

12%

38%

26%

20%

2.9% (2.2%)

July (209)

4%

14%

37%

28%

15%

2.8% (2.4%)

October (216)

4%

15%

45%

26%

11%

2.7% (2.4%)

Note: Percentages may not sum to 100 due to rounding.
*The diffusion index is calculated as an average response such that each response of much less is assigned a value of –100;
somewhat less is assigned a value of –50; about normal, 0; somewhat greater, 50; and much greater, 100. Therefore, a positive
index value implies that the indicator is greater, on average, and a negative index value implies that the indicator is lower, on
average.
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