Federal Deficit Spending (Quarterly) and Inflation. Part 1

We have found that the correlation relationships between various types of credit and inflation are variable over time.  So far, the kinds of credit studied are government spending,1 consumer credit,2 mortgage debt,3 nonfinancial corporate credit,4 and financial sector debt.5 Here, we return to federal deficit spending and inflation by analyzing data organized differently than previously used.


The Treasury Department Building in Washington DC. (Public domain, Wikipedia.)

Introduction

The previous study1 looked at correlations of four-quarter measurements of federal deficit spending and consumer inflation as determined quarterly by the Consumer Price Index (CPI).6  The federal deficit spending data7 was reported annually by the Federal Reserve.  This enabled the annual deficit spending to be compared to four quarters of CPI with various timeline shifts.  The correlations of the data were determined with coincidental timelines and offsets of CPI by one or more quarters (forwards and backward).

Federal deficit spending has been reported quarterly since January 1966.8  This enables the correlation between quarterly changes of both variables with quarterly timeline offsets rather than for the annual deficit data used previously.1

Using the new quarterly data for federal deficit spending (FDS) (1965-2023) produces results that can be compared directly with those for the other analyses in this series.25

The hypothesis we are testing is that inflation depends on FDS in a linear manner, expressed in the following equation:

I = mS + b

where

I = Change in CPI (the Consumer Price Index)

S = Change in FDS

The two constants, m and b, define the relationship of y, the dependent variable, to x, the independent variable.  By writing the relationship in this way, we imply that CPI (y) depends on FDS (x).  But this is a mere formality because the equation can be rearranged:

S = m’ I + b’

where

m’ = 1/m

b’ = -b/m

An equivalent equation implies that FDS depends on inflation without affecting results and conclusions.

Data

A definition of inflationary periods was made in the original federal deficit spending and consumer inflation study.1 The inflation time series has periods of inflationary surges, deflationary surges, and years when inflation/disinflation/deflation have trends with <4% change uninterrupted by countertrend moves >1.5%.  The three types of inflationary periods from 1952-2022 are in Tables 1-3.  For the definition of the various periods, see “Government Spending and Inflation: Reprise and Summary”.1

Table 1.  Periods of Significant Increases of Inflation 1952-2022

Table 2.  Periods of Significant Decreases of Inflation 1952-2022

Table 3.  Periods without Significant Inflation Trends 1952-2022

Inflation Measured Quarterly

The definition of inflation above is done annually.  In this study, we use inflation data reported quarterly; see Appendix 2.  The previous work,1 using annual data, produced the inflation time series graph shown in Figure 1.

Figure 1.  CPI Annual Inflation 1914-2022 with Significant Changes in Inflation Noted
(Each letter identifies the end of a significant move.)

The data in Figure 1 produced Tables 1-3.

Figure 2 shows the rolling four-quarter inflation using the quarterly data used in this study.  This results in four times as many data points for 12 months of inflation over the same 109 years.

Figure 2.  CPI Rolling Four Quarter Inflation 1914-2022

There is much more structure in Figure 2 than in Figure 1.  This may reflect noise in the Figure 2 data or be real information.  The only area where this question may have importance could be the three peaks from 3Q 1917 to 1Q 1920.  In Figure 1, this time period shows only a single peak with a shoulder approaching 1920.  Addressing this question has no bearing on the current study, which covers the 71 years 1952-2022.

Figure 3 displays the inflation data for the study period 1952-2022.

Figure 3.  CPI Rolling Four Quarter Inflation 1952-2022 with Significant Changes in Inflation Noted
(Each letter identifies the end of a significant move.  An * identifies the end of an insignificant time period.)

A summary of the data in Figure 3 is in Table 4.

Table 4.  Timeline of Inflation Data 1952-2022

The quarterly data displays more information than the yearly data used previously.

  • Table 4 shows eight periods with positive inflation surges over the 70-year period, while the previous study defined only 5.
  • There are five negative inflation surges in Table 4, one more than in the previous study.
  • Table 4 also shows five time periods with insignificant inflation changes, while the previous study had only three.
  • Significant inflationary periods are identified here for 2006-08 and 2009-11 with the quarterly data.  A significant deflationary period was identified for 2008-09.
  • There were 3 1/2 years 1983-86 with no significant inflation changes not identified previously.

Note: 1999-2020 was previously identified as a 22-year period with no significant inflationary trends.  The quarterly data found two significant inflationary trends and one significant deflationary trend within the interval.

Using the quarterly data gives a better resolution of inflationary and deflationary periods than was obtained with the annualized data.  Whether or not this is useful remains to be seen with further analysis.

Comparing Financial Sector Debt Growth to Inflation

Appendix 1 shows how the FDS growth rate is determined by calendar year quarters. Tables comparing credit growth with inflation are constructed below from that growth rate data.

As in previous studies,15 we use the Consumer Price Index (CPI) to calculate the inflation rate.  However, the data here for inflation growth is organized by calendar year quarters, as shown in Appendix 2.

Table 5. FDS Growth and Inflation (CPI), Coincident Data, 1965-2022*

Table 6. FDS Growth and Inflation (CPI), FDS Leads by 3 Months, 1965-2022*

Table 7. FDS Growth and Inflation (CPI), FDS Leads by 6 Months, 1965-2022*

Table 8. FDS Growth and Inflation (CPI), FDS Leads by 9 Months, 1965-2022*

Table 9.  FDS Growth and Inflation (CPI), FDS Leads by 12 Months, 1965-2022*

Table 10. FDS Growth and Inflation (CPI), FDS Leads by 18 Months, 1965-2022*

Table 11. FDS Growth and Inflation (CPI), FDS Leads by 24 Months, 1965-2022*



Table 12. FDS Growth and Inflation (CPI), FDS Lags by 3 Months, 1965-2022*

Table 13. FDS Growth and Inflation (CPI), FDS Lags by 6 Months, 1965-2022*

Table 14. FDS Growth and Inflation (CPI), FDS Lags by 9 Months, 1965-2022*

Table 15. FDS Growth and Inflation (CPI), FDS Lags by 12 Months, 1965-2022*

Table 16. FDS Credit Growth and Inflation (CPI), FDS Lags by 18 Months, 1965-2022*

Table 17. FDS Growth and Inflation (CPI), FDS Lags by 24 Months, 1965-2022*

Analysis

Figure 4 shows the quarterly changes for both FDS and CPI from 1965 through 2022.

Figure 4. Quarterly Changes for FDS and CPI 1965-2022

The changes in Figure 4 are much more volatile for financial sector debt than for inflation.  There is no obvious correlation between the two variables by visual inspection.

Figure 5 shows the scatter plot diagram for FDS-CPI data pairs for the 230 quarters in this study from 1965 to 2022.

Figure 5. Quarterly Changes in Financial Sector Debt (x) vs. CPI Inflation (y) 1965-2022

A negligible negative association exists between FSD and CPI over the 230 quarters studied, R = 7.2% and R2 = 0.5%.  These data pairs are for coincident timelines.  A more complete analysis involves comparisons of associations (correlations) when the timelines are offset quarterly for up to two years.

We see no potential for useful correlation analysis in the entire data set. Further work will study what happens when shorter time periods within the 58-year time frame are analyzed.

Conclusion

The fine data granularity (230 data point pairs) may provide useful information when analyzing various time periods. We will look at the time periods for each of the three inflation behaviors shown in Table 4.  As done before,15  timeline shifts will be examined to see if any information can be determined about possible cause-and-effect relationships.  The next step in this process will be to analyze the positive inflation surges during the time interval 1965-2022.

Appendix 1

The Federal Deficit spending data from 1966 through 4Q 2023 data is from the Fed database.8  The data point for 2Q 1965 is estimated from the annual federal debt data.  The data for 3Q and 4Q 1965 is estimated by interpolation.  Thus, the three data points in 1965 are less reliable than the rest.  If they are pivotable in any analysis, this should be noted, and the value of those results should be discounted.

The table below shows the conversion of the Fed data to growth rate by quarter.

Table A1.  Growth Rate of FDS 1965-2022* (Quarter-over-Quarter)

Appendix 2

The Consumer Price Index (CPI) data is from the Fed database.6  The table below shows the conversion of the Fed data to growth rate by quarter.

Table A2.  Growth Rate of CPI 1913-2022* (Quarter-over-Quarter)

 

Footnotes

1.  Lounsbury, John, “Government Spending and Inflation.  Reprise and Summary,” EconCurrents, August 20, 2023. https://econcurrents.com/2023/08/20/government-spending-and-inflation-reprise-and-summary/.

2. Lounsbury, John, “Consumer Spending and Inflation.  Part 4,”  EconCurrents, September 23, 2023. https://econcurrents.com/2023/09/23/consumer-credit-and-inflation-part-4/.

3.  Lounsbury, John, “Mortgage Debt and Inflation.  Part 4,” EconCurrents, October 22, 2023.  https://econcurrents.com/2023/10/22/mortgage-debt-and-inflation-part-4/.

4.  Lounsbury, John, “Nonfinancial Corporate Credit.  Part 4,” EconCurrents, March 3, 2024.  https://econcurrents.com/2024/03/03/nonfinancial-corporate-credit-and-inflation-part-4/.

5.  Lounsbury, John, “Financial Sector Debt and Inflation. Part 4,” EconCurrents, March 31, 2024. https://econcurrents.com/2024/03/31/financial-sector-debt-and-inflation-part-4/.

6. Federal Reserve Economic Data, Consumer Price Index for All Urban Consumers: All Items in U.S. City Average, Index 1982-1984=100, Monthly, Not Seasonally Adjustedhttps://fred.stlouisfed.org/graph/?id=CPIAUCNS.

7.  U.S. Department of the Treasury, Historical Debt Outstanding, Last update October 4, 2022.
https://fiscaldata.treasury.gov/datasets/historical-debt-outstanding/historical-debt-outstanding

8.  U.S. Department of the Treasury, Fiscal Service, Federal Debt: Total Public Debt [GFDEBTN], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/GFDEBTN, April 3, 2024.

 

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