Abstract
The paper analyzes the relationship between the interest rate and the public debt-to-GDP ratio through the lens of the Classical-Keynesian approach. We focus on the value dimension as a transmission channel of monetary policy, modeling how a change in the interest rate set by the central bank affects the economy’s capital intensity and, in turn, debt ratios. We do so by developing a Stock-Flow Consistent Supermultiplier model (SFC-SM) based on a simplified Input–Output structure of production, showing that the effect of an increase in the interest rate on public debt-to-GDP ratio will depend on the impact exerted by the shock on the capital intensity through changes in relative prices. Lastly, we calibrate the model, showing the possible emergence of reverse capital deepening; past a threshold, any base rate hike produces an increase in the public debt-to-GDP ratio by decreasing the capital intensity of the economy.
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Data availability
All data presented in this study are openly accessible and available for public use. The complete dataset is available upon request.
Notes
On the one hand, the interest rate positively affects GDP and fiscal revenues by raising the income generated on the stock of wealth and, as a result, the level of consumption and investment. On the other hand, it expands the public debt service. The conditions under which the net effect on the public debt-to-GDP ratio is positive or negative have been studied in Di Domenico (2022).
The normal degree of capacity utilization can be defined in accordance with demand average and peaks. Since movements in demand can be transitory, firms are assumed to gradually adapt their capacity to meet demand peaks while avoiding excess capacity above those peaks (Ciccone 1986).
It is worth noting that this assumption can be easily relaxed, as the share of retained profits to finance investment only affects the value of the multiplier and the GDP level.
Autonomous demand components can be defined as those expenditure items that do not create production capacity and that are financed through the creation of discretionary and autonomous injection of purchasing power in the economy (Cesaratto et al., 2003). For an empirical estimation of multipliers associated with autonomous demand components (i.e. exports, government expenditure, credit-financed consumption, and private residential investment) while controlling for monetary policy, see Barbieri Góes and Deleidi (2022). For an in-depth theoretical and empirical overview on the transmission channels of monetary policy through housing prices and autonomous consumption see Barbieri Góes (2023).
For a similar treatment of capital dynamics, see Fazzari et al. (2020).
See Di Domenico (2020) for an explanation on computation of amortization, profits, and unit cost.
The price takes into account a depreciation up to z periods.
It is important to notice that these simplifying assumptions are useful to isolate the effect of interest rate shocks on the value dimension. However, this is not meant to deny the existence and relevance of real effects. The interested reader might refer to Di Domenico (2022) for an in-depth analysis of this channel.
It ought to be noted that the model postulates that an increase in the interest rate has always a negative effect on the labor share, regardless of the parameter calibration. This might be counterintuitive from the standpoint of standard macroeconomic analysis, according to which an increase in the price of capital engenders a substitution between capital and labour, that leads in turn to an increase in the labour share. However, since industrial markups are given, an increase in the cost of capital goods will be passed on to prices, changing the structure of relative prices at the expense of wage earners (Pivetti, 1985).
The capital-to-output ratio enters both in the price equations and the investment function. Thus, it simultaneously modifies the value of the multiplier and capital intensity. In this case, it is not possible to isolate the mechanism operating through the value dimension.
For multipliers computation in the model, see Appendix 5.
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Funding
This work was funded by Ministero dell’Istruzione,dell’Università e della Ricerca with grant number PRIN 2017-4BE543.
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Appendices
Appendix 1. Balance sheet and transaction matrix
Balance sheet and transaction matrix
Assets | Workers | Capitalists | Sector A | Sector B | Sector C | Bank | Government | CB | \(\sum\) |
---|---|---|---|---|---|---|---|---|---|
Check deposits | \({+M1}_{w}\) | \({+M1}_{cap}\) | \({+M1}_{a}\) | \({+M1}_{c}\) | \({+M1}_{c}\) | \(-M1\) | 0 | ||
Time deposits | \(+{M1}_{w}\) | \(+{M1}_{cap}\) | \(-M2\) | 0 | |||||
HPM | \(+{H}_{b}\) | \(-H\) | 0 | ||||||
Advances | \(-A\) | \(-A\) | 0 | ||||||
Loans | \(-{L}_{a}\) | \(-{L}_{b}\) | \(-{L}_{c}\) | \(+L\) | 0 | ||||
Fixed Capital | \(+{K}_{{f}_{a}}\) | \(+{K}_{{f}_{b}}\) | \(+{K}_{{f}_{c}}\) | \(+{K}_{f}\) | |||||
Public bonds | \(+{B}_{h,cap}\) | \(-B\) | \(+{B}_{cb}\) | 0 | |||||
Net wealth | \({-V}_{h,w}\) | \({-V}_{h,cap}\) | \(-{V}_{a}\) | \(-{V}_{b}\) | \(-{V}_{c}\) | 0 | \(+GD\) | 0 | \(-{K}_{f}\) |
\(\sum\) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Workers | Capitalists | Sector A | Sector B | Sector C | Government | Bank | Central Bank | \(\sum\) | |||
---|---|---|---|---|---|---|---|---|---|---|---|
Current | Capital | Current | Capital | ||||||||
Consumption | \(-{C}_{w}\) | \(-{C}_{cap}\) | \(+C\) | 0 | |||||||
Investments in A | \(+I\) | \(-{I}_{b}\) | \(-{I}_{c}\) | 0 | |||||||
Investments in B | \(-{I}_{a}\) | \(+I\) | 0 | ||||||||
Public expenditure | \(+G\) | \(-G\) | 0 | ||||||||
Wages | \(+W\) | \(-{W}_{a}\) | \(-{W}_{b}\) | \(-{W}_{c}\) | 0 | ||||||
Taxes | \(-{T}_{w}\) | \(-{T}_{cap}\) | \(+T\) | 0 | |||||||
Profits | \(+{Div}_{F}\) | \(-{Div}_{a}\) | \(-{Div}_{b}\) | \(-{Div}_{c}\) | 0 | ||||||
Profits B | \(+{Div}_{B}\) | \(-{Div}_{B}\) | 0 | ||||||||
Profits BC | \({+F}_{cb}\) | \({-F}_{cb}\) | 0 | ||||||||
Int. Deposit | \(+{r}_{m,t-1}{M2}_{w,t-1}\) | \(+{r}_{m,t-1}{M2}_{c,t-1}\) | \(-{r}_{m,t-1}{M2}_{t-1}\) | 0 | |||||||
Int. Loans | \(-{r}_{l-1}{L}_{a,t-1}\) | \(-{r}_{l-1}{L}_{b,t-1}\) | \(-{r}_{l-1}{L}_{c,t-1}\) | \(+{r}_{l-1}{L}_{t-1}\) | 0 | ||||||
Int. Bond | \(+{i}_{t-1}{B}_{h,t-1}\) | \(-{i}_{t-1}{B}_{t-1}\) | \(+{i}_{r}{B}_{bc,t-1}\) | 0 | |||||||
Int. Reserves | \(+{r}_{r-1}{H}_{t-1}\) | \(-{r}_{r-1}{H}_{t-1}\) | 0 | ||||||||
Int. Advances | \(-{r}_{a,t-1}{A}_{t-1}\) | \(+{r}_{a,t-1}{A}_{t-1}\) | 0 | ||||||||
∆Deposit time | \(-{\Delta M2}_{w}\) | \(-{\Delta M2}_{cap}\) | \(+\Delta M2\) | 0 | |||||||
∆ Deposit check | \(-{\Delta M1}_{w}\) | \(-{\Delta M1}_{w}\) | \(+\Delta M1\) | 0 | |||||||
∆ Loans | \(+{\Delta L}_{a}\) | \(+{\Delta L}_{b}\) | \(+{\Delta L}_{c}\) | \(-\Delta L\) | 0 | ||||||
∆ Bonds | \(-{\Delta B}_{h}\) | \(+\Delta B\) | \({-\Delta B}_{bc}\) | 0 | |||||||
∆ Reserves | \(-\Delta H\) | \(+\Delta H\) | 0 | ||||||||
\(\sum\) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Appendix 2. Data sources
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Adjusted wage share, percentage of GDP at current factor costs, United States, https://economy-finance.ec.europa.eu/economic-research-and-databases/economic-databases/ameco-database_en
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Federal Debt: Total Public Debt as Percent of Gross Domestic Product (GFDEGDQ188S), Percent of GDP, Seasonally Adjusted, https://fred.stlouisfed.org/series/GFDEGDQ188S
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Government Consumption Expenditure and gross investment in billions of dollars, seasonally adjusted, quarterly data, BEA, NIPA Table 1.1.5., https://bit.ly/34DlOsj
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Gross Domestic Product in billions of dollars, seasonally adjusted, quarterly data, BEA, NIPA Table 1.1.5., https://bit.ly/34DlOsj
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Gross private domestic investment (nonresidential) in billions of dollars, seasonally adjusted, quarterly data, BEA, NIPA Table 1.1.5., https://bit.ly/34DlOsj
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Implicit price deflator for government consumption expenditures and gross investment, seasonally adjusted, quarterly data, BEA, NIPA Table 1.1.9., https://bit.ly/2z6230N
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Implicit price deflator for gross domestic product, seasonally adjusted, quarterly data, BEA, NIPA Table 1.1.9., https://bit.ly/2z6230N
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Implicit price deflator for Gross private domestic investment (non residential), seasonally adjusted, quarterly data, BEA, NIPA Table 1.1.9., https://bit.ly/2z6230N
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Nonfinancial Corporate Business; Debt Securities and Loans; Liability, Level (BCNSDODNS), Billions of Dollars, Seasonally Adjusted, https://fred.stlouisfed.org/series/BCNSDODNS
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Real Gross Domestic Product, Billions of Chained 2012 Dollars, Seasonally Adjusted Annual Rate (GDPC1), https://fred.stlouisfed.org/series/GDPC1
All weblinks last accessed on November 20, 2022.
Appendix 3. Parameter values and steady-state results
See Table 1
Appendix 4. Reverse capital deepening and the public debt-to-GDP ratio
As discussed in Sect. 4, the model is able to generate the phenomenon of reverse capital deepening. Consistently with the argument exposed in the paper, an increase in the interest rate would then lead to a decrease in the public debt-to-GDP ratio. Under these circumstances, the model exhibits the motion shown in Fig. 6.
Appendix 5. Computation of intersectoral multipliers
The intersectoral multipliers can be computed adopting the Leontief Inverse matrix (L):
To produce one unit of consumer good it is required to produce a gross amount of A and B equal to:
If the ratio \(\frac{{m}_{a}}{{m}_{b}}=\frac{1+\beta +\gamma }{1+\alpha (1+\gamma )}\) is higher than one, basic commodity A has the highest intersectoral multiplier, the opposite applies if the ratio is lower than one.
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Di Domenico, L., Góes, M.C.B. & Gallo, E. Distribution, capital intensity and public debt-to-GDP ratio: an input output—stock flow consistent model. Econ Polit (2023). https://doi.org/10.1007/s40888-023-00318-7
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DOI: https://doi.org/10.1007/s40888-023-00318-7