Empirical evidence on the monetary-fiscal policy mix
and macroeconomic (in)stability in the US
Asociación Argentina de Economía Política
Emiliano Carlevaro
University of Adelaide
Qazi Haque
University of Adelaide
Leandro Magnusson
University of Western Australia
2025-11-28
THE GREAT INFLATION
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Inflation analogies by Cochrane (2025)
THE GREAT INFLATION(S)?
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Inflation analogies by Cochrane (2025)
WHO DETERMINES INFLATION?
“Inflation is always and everywhere a monetary phenomenon.”
Milton Friedman
“Persistent high inflation is always and everywhere a fiscal phenomenon, in which the central bank is a monetary accomplice.”
Thomas J. Sargent
The policy rules
Monetary policy rule
\[
R_t \,=\, \color{blue}{\phi_{\pi}} \pi_t + g_m(x_t ; \rho_R, \color{blue}{\phi_{x}} ) + \epsilon_{R, t}
\]
\[
\pi_t \equiv \frac{P_t}{P_{t-1}}
\]
Fiscal policy rule
\[
\tau_{t}= \color{blue}{\psi_{b}} b_{t-1} + g_f(x_t ; \rho_{\tau}, \color{blue}{\psi_{x}} ) + \epsilon_{\tau, t}
\]
\[
\begin{align}
\tau \equiv \frac{T_t}{P_t Y_t} & \,\,\,\,\,\,\,\ b_{t} \equiv \frac{B_t}{P_t Y_t} \\
\end{align}
\]
The government budget constraint
\[
\begin{align}
R_t \,&=\, \color{blue}{\phi_{\pi}} \pi_t + g_m(x_t ; \rho_R, \color{blue}{\phi_{x}} ) + \epsilon_{R, t} \\
\tau_{t} &= \color{blue}{\psi_{b}} b_{t-1} + g_f(x_t ; \rho_{\tau}, \color{blue}{\psi_{x}} ) + \epsilon_{\tau, t}
\end{align}
\]
The govt budget constraint is
\[
b_{t} \approx (1 - \color{blue}{\psi_{b}}) b_{t-1} + (\mathbb{E}_{t-1} \pi_{t} - \pi_t) - \epsilon_{\tau, t} + \ldots
\]
If \(\psi_b > 0\), debt level is stable
If \(\psi_b < 0\), \(\pi_t\) has to “accomodate”
- Budget constraints are always satisfied!
Equilibrium depends primarily upon \(\phi_{\pi}\) and \(\psi_{b}\).
- 4 possible cases (regimes).
Why do we care about regimes?
\[
b_{t} \approx (1 - \color{blue}{\psi_{b}}) b_{t-1} + (\mathbb{E}_{t-1} \pi_{t} - \pi_t) - \epsilon_{\tau, t} + \ldots
\]
EMPIRICAL ISSUES: Lack of consensus
Endogeneity and weak identification
\[
R_t \,=\, \color{blue}{\phi_{\pi}} \pi_t + \epsilon_{R, t}
\]
- Instrumental variable estimator:
- Instrument: \(\pi_{t-1}\).
- Weak identification: \(\pi_{t}\) moves little
- For example: \(\pi_t \rightarrow \pi^*\)
An additional instrument
\[
\begin{align}
R_t \,&=\, \color{blue}{\phi_{\pi}} \pi_t + \epsilon_{R, t} \\
\pi_t &= \rho \pi_{t-1} + \gamma R_t + \varepsilon_{\pi, t}
\end{align}
\]
An additional instrument
\[
\begin{align}
R_t \,&=\, \color{blue}{\phi_{\pi}} \pi_t + \epsilon_{R, t} \\
\pi_t &= \rho \pi_{t-1} + \gamma R_t + \varepsilon_{\pi, t}
\end{align}
\]
An additional instrument
\[
\begin{align}
R_t \,&=\, \color{blue}{\phi_{\pi}} \pi_t + \epsilon_{R, t} \\
\pi_t &= \color{red}{\rho}_t \pi_{t-1} + \gamma R_t + \varepsilon_{\pi, t}
\end{align}
\]
Structural breaks as instruments
\[
\begin{align}
R_t \,&=\, \color{blue}{\phi_{\pi}} \pi_t + \epsilon_{R, t} \\
\pi_t &= \color{red}{\rho}_t \pi_{t-1} + \gamma R_t + \varepsilon_{\pi, t}
\end{align}
\]
- \(\pi_{t-1}\)
- \(\mathcal{1}_{\{t>50\}} \pi_{t-1}\)
Structural breaks free up information
What if we don’t know the break dates?
- Do hypothesis testing.
- Fix \(H_0: \color{blue}{\phi_{\pi, 0}}\) and test whether \(\hat{\epsilon}_{R, t}\) is sufficiently stable.
- The test has power if \(\rho\) shifts
- If \(\rho\) does not shift, you will know it!
Identification by stability restrictions
Exploit instabilities in subsamples for identification (Magnusson and Mavroeidis 2014).
- Let \(\color{blue}{\mathbf{\theta_0}} \equiv \left[ \phi_{\pi}, \phi_x, \psi_{b}, \psi_{x}\right]\) be possible candidate parameter values.
- Fix the parameters under the null \[
H_0 : \color{blue}{\mathbf{\theta}} = \left[ \phi_{\pi, 0}, \phi_{x,0}; \psi_{b, 0}, \psi_{x, 0} \right]
\]
- Compute “residuals” and the S and generalised-S test statistic.
- Keep \(\color{blue}{\mathbf{\theta_0}}\) if the test statistic is below the critical value.
- Rinse and repeat (grid search)
- A confidence set comprises all \(\color{blue}{\mathbf{\theta_0}}\) that do not reject \(H_0\).
DATA
- Before Volcker: 1961 Q1 to 1979 Q2 (74 observations)
- After Volcker: 1984 Q1 to 2008 Q4 (100 observations)
| \(R\) |
effective Federal Funds rate |
\(\tau\) |
current tax receipts + social insurance contributions |
| \(\pi\) |
CPI |
\(b\) |
market value of privately held gross federal debt |
| \(x\) |
Output gap as estimated by CBO |
\(Y\) |
Gross Domestic Product (GDP) |
|
|
|
|
Source is FRED.
CONFIDENCE SETS: before Volcker
![img]() |
| 90% confidence sets Indeterminacy, monetary, fiscal. 1961q1 - 1979q2. |
CONFIDENCE SETS: before Volcker
![Image1]() |
| 90% confidence sets Indeterminacy, monetary, fiscal. 1961q1 - 1979q2. |
CONFIDENCE SETS: after Volcker
![Image1]() |
| 90% confidence sets Indeterminacy, monetary, fiscal. 1984q1 - 2008q4. |
RESULTS: after Volcker
![Image1]() |
| 90% confidence sets Indeterminacy, monetary, fiscal. 1984q1 - 2008q4 |
ROBUSTNESS: Alternative policy rules
AR(2) monetary policy smoothing
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Forward-looking monetary policy rule
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