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Public debt and total factor productivity

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Abstract

This paper explores the role of public debt and fiscal deficits on factor productivity in an economy with credit market frictions and heterogeneous firms. When credit market conditions are sufficiently weak, low interest rates permit the government to run Ponzi schemes so that permanent primary deficits can be sustained. For small enough deficit ratios, the model has two steady states of which one is an unstable bubble and the other one is stable. The stable equilibrium features higher levels of credit and capital, but also a lower interest rate, lower total factor productivity and output. The model is calibrated to the US economy to derive the maximum sustainable deficit ratio and to examine the dynamic responses to changes in debt policy. A reduction in the primary deficit triggers an expansion of credit and capital, but it also leads to a deterioration of total factor productivity since more low-productivity firms prefer to remain active at the lower equilibrium interest rate.

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Notes

  1. The tight connection between dynamic inefficiency and the possibility of Ponzi schemes is only valid in the absence of aggregate uncertainty (see e.g., Blanchard and Weil 2001).

  2. For a simple model on endogenous TFP fluctuations in the presence of credit constraints, see Azariadis and Kaas (2007).

  3. The timing notation follows the convention in the macroeconomic literature in that capital employed at date t carries index t, although it is decided at time \(t-1\). Idiosyncratic productivity therefore has the same time index.

  4. One can think of this credit as including corporate bonds (directly held by the lender) and loans that are granted through financial intermediaries (which are not explicitly modeled).

  5. Loss of collateral is the only punishment of a defaulting owner. Azariadis et al. (2015) additionally allow for unsecured credit that rests on the borrower’s reputation which is harmed in a default event. Neither setting has default in equilibrium because productivities are revealed before credit is exchanged. Cui and Kaas (2015) consider a related model with default in equilibrium.

  6. If that inequality would fail, all wealth of the owners of unproductive firms would be invested in government bonds, so that credit supply would be zero. This cannot be an equilibrium because credit demand is positive since \(\lambda >0\).

  7. Due to the assumption of a continuous productivity distribution, there is an atomistic mass of firms whose productivity equals exactly \(z_{t+1}\). Those firm owners are indifferent between investing in their own business or in financial assets, but their behavior does not affect the equilibrium.

  8. A model solution with \(RG(z)<\lambda (1-\delta )\) would describe an implausible situation in which the government is a net creditor to the private sector, earning the same return R as private investors.

  9. See however Boyd and Smith (1998) who find that cyclical dynamics can arise in such economies in the presence of credit market frictions.

  10. The capital stock is calculated from real net domestic investment using the perpetual inventory method based on the assumption that the capital-output ratio is constant.

  11. To obtain these data targets (averages over 1970–2013), I use credit market liabilities of the non-financial business sector and credit market liabilities of the general government (consolidated) from the Flow of Funds Accounts of the Federal Reserve (Tables L.101 and L.105.c).

  12. The deficit-output ratio is calculated as net borrowing minus interest payments of the general government (consolidated) from the Flow of Funds Accounts (Table F.105.c), divided by nominal GDP.

  13. Different from Table 1, those targets imply the parameter values \(\delta =0.1\), \(\beta =0.997\), \(\lambda =0.295\), \(\varphi =6.25\), \(z_0=0.8\). The higher value of \(\varphi \) implies that productivity dispersion is even lower than in the benchmark calibration.

  14. Real government debt is the sum of federal, state and local government credit market liabilities, deflated with the GDP deflator. TFP is calculated as the Solow residual A from \(Y=AK^{\alpha }L^{1-\alpha }\) where Y is real gross value added of the business sector, the capital stock K is calculated from the perpetual inventory method based on private net investment, and labor L are the hours of all persons employed in the nonfarm business sector. Logged quarterly series are HP filtered with coefficient \(\lambda =1600\). Those series are also used for the VAR responses in Fig. 4.

  15. The empirical response of output to the debt shock turns out to be positive as well, which is inconsistent with the patterns shown in Figs. 2 and 3. However, the contemporaneous correlation between government debt and output is rather small (0.17).

  16. More precisely, this two-dimensional system defines all perfect-foresight solutions from period \(t=1\) onwards. If the bond price (and hence public debt \(d_0\)) is allowed to jump in the initial period \(t=0\), different states \((k_1,z_1)\) can be attained in subsequent period \(t=1\). If this is the case, a saddle-path steady state can be regarded as a (stable) determinate equilibrium. In contrast, if \(d_0\) is predetermined in period \(t=0\), a saddle path is an unstable equilibrium.

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Correspondence to Leo Kaas.

Additional information

I am grateful to Almuth Scholl for helpful comments. I also thank the German Research Foundation (Grant No. KA 1519/4) for financial support. The usual disclaimer applies.

Appendix

Appendix

Lemma 1

A competitive equilibrium is described by solutions in \((z_t,k_t,d_t)\) to the dynamic system defined by (16), (17) and (18).

Proof

Rewrite Eqs. (7), (12) and (13) in terms of \(k_t=K_t/A_t\), \(\omega _t=W_t/A_t\), \(d_t=(q_tD_t)/A_t\):

$$\begin{aligned} \omega _t= & {} f'(k_tZ_t)Z_tk_t+(1-\delta )k_t +d_t, \end{aligned}$$
(26)
$$\begin{aligned} k_{t+1}= & {} \beta \omega _t {\textstyle \frac{\displaystyle R_{t+1}(1-G(z_{t+1}))}{\displaystyle (1+g)[R_{t+1}-\lambda (1-\delta )]}}\end{aligned}$$
(27)
$$\begin{aligned} {\textstyle \frac{\displaystyle \beta R_{t+1}}{\displaystyle 1+g}}\omega _t G(z_{t+1})= & {} \lambda (1-\delta )k_{t+1}+d_{t+1}. \end{aligned}$$
(28)

Substitution of (26) into (27) directly yields (17). Combine (27) and (28) to obtain

$$\begin{aligned} k_{t+1}[R_{t+1}-\lambda (1-\delta )]= & {} \beta {\textstyle \frac{\displaystyle \omega _t}{\displaystyle 1+g}}[1-G(z_{t+1}]R_{t+1}\\= & {} \beta {\textstyle \frac{\displaystyle \omega _{t}}{\displaystyle 1+g}}R_{t+1}-d_{t+1}-\lambda (1-\delta )k_{t+1}. \end{aligned}$$

Substitution of (26) yields (16). With \(X_t/A_t=\xi _ty_t=\xi _tf(Z_tk_t)\), the government budget constraint (4) is

$$\begin{aligned} \xi _tf(Z_tk_t)={\textstyle \frac{\displaystyle (1+g)d_{t+1}}{\displaystyle R_{t+1}}}-d_t, \end{aligned}$$

which is Eq. (18). \(\square \)

Proposition 1

A no-bubble stationary equilibrium \((z^N,R^N)\) exists if either Assumption 2 holds or if \(\lambda \) is sufficiently small. The interest rate satisfies \(R^N=\frac{\lambda (1-\delta )}{G(z^N)}<(1+g)/\beta \). Under Assumption 1, a no-bubble stationary equilibrium is unique.

Proof

Let \(\underline{z}\ge 0\) and \(\overline{z}>0\) denote the upper and lower bounds of the support of G, with \(\overline{z}=\infty \) if G has unbounded support. The right-hand side (RHS) of (23) is zero at \(z=\underline{z}\) and positive at higher values of z. Hence a solution exists if \(\lambda \) is sufficiently small. Moreover, under Assumption 2 the RHS tends to \((1+g)/(\beta (1-\delta ))>1\) for \(z\rightarrow \overline{z}\), so that (23) has a solution for any \(\lambda \le 1\). Because of \(z/Z(z)< 1\), it follows that \(\lambda <G(z^N){\textstyle \frac{\displaystyle 1+g}{\displaystyle \beta (1-\delta )}}\) and hence \(R^N={\textstyle \frac{\displaystyle \lambda (1-\delta )}{\displaystyle G(z^N)}}<{\textstyle \frac{\displaystyle 1+g}{\displaystyle \beta }}\).

Under Assumption 1, the RHS is strictly monotonically increasing. Hence, there can be at most one solution to Eq. (23).\(\square \)

Proposition 2

Suppose that Assumption 1 holds. Then a bubble stationary equilibrium exists if and only if \(R^N<1+g\). Moreover, \(z^B>z^N\) holds so that TFP is higher in the bubble stationary equilibrium.

Proof

Let \(\hat{z}\) be the unique productivity value where \(G(\hat{z})=\lambda (1-\delta )/(1+g)<1\). A stationary bubble equilibrium is a solution \(z^B\) of (24) such that \(z^B>\hat{z}\). Write \(\phi (z)\) for the RHS of (24). Since \(\phi \) is strictly decreasing and tends to zero for \(z\rightarrow \overline{z}\), a bubble stationary equilibrium exists if and only if the LHS of (24) is smaller than \(\phi (\hat{z})\) which is equivalent to

$$\begin{aligned} (1+g)\frac{1-\beta }{\beta }< \left[ \frac{Z(\hat{z})}{\hat{z}}-1\right] (g+\delta ). \end{aligned}$$
(29)

Now suppose that \(R^N<1+g\). Because of

$$\begin{aligned} R^N=\frac{\lambda (1-\delta )}{G(z^N)}=1-\delta +\frac{z^N}{Z(z^N)}\left( \frac{1+g}{\beta }-1+\delta \right) <1+g, \end{aligned}$$

it follows that \(z^N>\hat{z}\), and therefore

$$\begin{aligned} \frac{1+g}{\beta }-1+\delta <\frac{Z(z^N)}{z^N}(g+\delta )\le \frac{Z(\hat{z})}{\hat{z}}(g+\delta ), \end{aligned}$$

where the last inequality follows since Z(z) / z is non-increasing. This proves the existence of a bubble stationary equilibrium.

Conversely, suppose that

$$\begin{aligned} R^N=\frac{\lambda (1-\delta )}{G(z^N)}=1-\delta +\frac{z^N}{Z(z^N)}\left( \frac{1+g}{\beta }-1+\delta \right) \ge 1+g. \end{aligned}$$

This implies that \(z^N\le \hat{z}\) and therefore

$$\begin{aligned} \frac{1+g}{\beta }-1+\delta \ge \frac{Z(z^N)}{z^N}(g+\delta )\ge \frac{Z(\hat{z})}{\hat{z}}(g+\delta ). \end{aligned}$$

This proves that no-bubble stationary equilibrium exists if \(R^N\ge 1+g\).

Finally, it remains to show \(z^B>z^N\) whenever a bubble stationary equilibrium exists. This holds iff

$$\begin{aligned} \frac{1-\beta }{\beta } [1+g-\lambda (1-\delta )] =\phi (z^B)<\phi (z^N). \end{aligned}$$
(30)

Because of

$$\begin{aligned} R^N=\frac{\lambda (1-\delta )}{G(z^N)}=1-\delta +\frac{z^N}{Z(z^N)}\left( \frac{1+g}{\beta }-1+\delta \right) \end{aligned}$$

one has

$$\begin{aligned} \phi (z^N)= & {} [1-G(z^N)] \left[ \frac{Z(z^N)}{z^N}-1\right] (g+\delta )\\= & {} [1-G(z^N)]\frac{g+\delta }{\beta (1-\delta )}\frac{G(z^N)(1+g)-\beta (1-\delta )\lambda }{\lambda -G(z^N)}. \end{aligned}$$

To show (30), it must be proven that

$$\begin{aligned} \frac{1-\beta }{\beta } [1+g-\lambda (1-\delta )] < \underbrace{[1-G]\frac{g+\delta }{\beta (1-\delta )}\frac{G(1+g)-\beta (1-\delta )\lambda }{\lambda -G}}_{\equiv \psi (G)} \end{aligned}$$
(31)

holds at \(G=G(z^N)\). Because a bubble equilibrium exists, \(R^N<1+g\) implies that \(G(z^N)>\lambda (1-\delta )/(1+g)\), and (23) implies that \(G(z^N)<\lambda \). It follows \(\psi (\lambda (1-\delta )/(1+g))=(1/\beta -1 )[1+g-\lambda (1-\delta )]\) and \(\psi (\lambda )=\infty \). Therefore (31) holds if \(\psi '(G)>0\) for \(G\in [\lambda (1-\delta )/(1+g),\lambda )\) which is easy to verify. This proves that \(z^B>z^N\).\(\square \)

Proposition 3

Under Assumption 1, a credit expansion induced by an increase in parameter \(\lambda \) raises \(z^N\) and \(z^B\), and therefore total factor productivity at any stationary equilibrium.

Proof

Consider first the no-bubble stationary equilibrium at \(z^N\). Because the RHS in (23) strictly increases in z under Assumption 1, \(z^N\) (and hence TFP which depends positively on Z(z)) increases if \(\lambda \) increases. Second consider a bubble stationary equilibrium at \(z^B\). Again Assumption 1 implies that the RHS of (24) decreases in z, and since the LHS decreases in \(\lambda \), \(z^B\) must strictly increase if \(\lambda \) increases.\(\square \)

Proposition 4

Suppose that the production function is \(f(Zk)=(Zk)^{\alpha }\). Under Assumption 1 and \(R^N<1+g\), there is a maximum sustainable deficit \(\overline{\xi }>0\) such that any economy with deficit-output ratio \(\xi \in [0,\overline{\xi })\) has two stationary equilibria \((z_i,R_i)_{i=1,2}\) with \(z^{N} \le z_1<z_2 \le z^{B}\) and \(R^{N} \le R_1<R_2\le 1+g\).

Proof

A steady-state equilibrium (Rz) is a solution to Eqs. (20) and (22). For any given z, the RHS of (20) is a quadratic function of R which intersects the LHS uniquely at some \(R>1-\delta \); see Fig. 6. This follows because \(\hbox {LHS}(R=1-\delta )>\hbox {RHS} (R=1-\delta )>0\) and \(\hbox {RHS}(R=0)=0\), so that the RHS is quadratic in R and strictly increasing in \(R>1-\delta \). Since the RHS is strictly decreasing in z, Eq. (20) defines an upward-sloping solution \(R(z)\ge 1-\delta \) such that \(R(z)\rightarrow (1+g)/\beta \) when \(z\rightarrow \overline{z}\).

Fig. 6
figure 6

Equation (20) defines R(z)

It will now be shown that R(z) intersects twice with the curve that defines implicit solutions (Rz) to the other equilibrium condition (22) for small enough values of the deficit ratio \(\xi \). Because two solutions at \(z=z^N\) and at \(z=z^B\) exist for \(\xi =0\), the implicit function theorem also guarantees two (locally unique) solutions for small values of \(\xi \), provided that the two curves (20) and (22) have different slopes at \(z^B\) and at \(z^N\) for \(\xi =0\). But this is easy to verify. At \(z=z^B\) and \(\xi =0\), (22) defines the flat curve \(R=1+g\), whereas at \(z=z^N\), Eq. (22) defines the downward-sloping \(R=\lambda (1-\delta )/G(z)\); see Fig. 7. As shown above, (20) defines an upward-sloping curve R(z). Therefore, for any small enough \(\xi >0\), the two equations have two solutions \((z_i,R_i)\), \(i=1,2\) such that \(z_1\rightarrow z^N\) and \(z_2\rightarrow z^B\) when \(\xi \rightarrow 0\).

Fig. 7
figure 7

Intersections between Eqs. (20) and (22) define \(z_1\) and \(z_2\)

It still remains to verify that public debt is nonnegative at either solution. This follows trivially by continuity for the solution \(z_2\) because of \(R^BG(z^B)>\lambda (1-\delta )\). For the other solution \((z_1,R_1)\), rewrite Eq. (22) as

$$\begin{aligned} \phi (z,R,\xi )\equiv [RG(z)-\lambda (1-\delta )][1+g-R]-{\textstyle \frac{\displaystyle \xi }{\displaystyle \alpha }} (1-G(z))R(R+\delta -1){\textstyle \frac{\displaystyle Z(z)}{\displaystyle z}}. \end{aligned}$$

The local derivatives at \((z,R,\xi )=(z^N,R^N,0)\) have signs

$$\begin{aligned} \phi _1= & {} G'(z^N)R^N(1+g-R^N)\\&+{\textstyle \frac{\displaystyle \xi }{\displaystyle \alpha }}R^N(R^N+\delta -1){\textstyle \frac{\displaystyle (z^N)^2G'(z^N)+\int _{z^N}z\ \mathrm{d}G(z)}{\displaystyle (z^N)^2}}>0, \end{aligned}$$

and \(\phi _3<0\) which implies that \({\textstyle \frac{\displaystyle dz}{\displaystyle d\xi }}=-\phi _3/\phi _1>0\) at any given R. Hence, the curve (22) lies above the curve \(R=\lambda (1-\delta )/G(z)\) in (zR) space for \(\xi >0\), which implies that \(z_1>z^N\) and \(R_1>R^N\), and hence \(R_1G(z_1)>\lambda (1-\delta )\), so that public debt is positive.

Lastly, because both solutions \((z_i,R_i)\), \(i=1,2\), satisfy the upward-sloping relation \(R=R(z)\), the equilibrium with the higher interest rate has higher TFP. \(\square \)

Calibration

Parameters \(\alpha \), \(\delta \) and g are directly calibrated as mentioned in the text. Given the calibration targets for the interest rate R and for the debt-output ratio (qD) / Y, the deficit-output ratio follows from \(\xi =((qD)/Y)\cdot (g-R)/R\). The calibration target for K / Y together with the normalization \(Z=1\) yields the steady-state value of \(k=K/A=(K/Y)^{1/(1-\alpha )}\). This together with \(R=zf'(Zk)+1-\delta \) yields the steady-state value of \(z=(K/Y)\cdot (R+\delta -1)/\alpha \), so that the Pareto shape parameter follows from \(\varphi =1/(1-z)\). The calibration target for the firm-credit-output ratio \(Credit/Y=\theta K/Y=\lambda (1-\delta )/R\cdot (K/Y)\) identifies parameter \(\lambda =(Credit/Y)\cdot R/(1-\delta )/(K/Y)\). Then steady-state Eq. (22) can be solved for G(z):

$$\begin{aligned} G(z)={\textstyle \frac{\displaystyle {\textstyle \frac{\displaystyle \xi }{\displaystyle \alpha z}}(R+\delta -1)+\lambda (1-\delta ){\textstyle \frac{\displaystyle g-R}{\displaystyle R}}}{\displaystyle g-R+{\textstyle \frac{\displaystyle \xi }{\displaystyle \alpha z}}(R+\delta -1)}}. \end{aligned}$$

With \(G(z)=1-(z_0/z)^{\varphi }\), this yields the Pareto scale parameter \(z_0\). Finally, the discount factor follows uniquely from steady-state Eq. (20).

Stability

It can be verified numerically that the no-bubble steady-state equilibrium is locally stable, whereas bubble equilibria are unstable saddle points. To this end, consider again Eqs. (16)–(18) which define the dynamics in the three variables \((k_t,z_t,d_t)\). Substitution of the squared bracket expression in (16) into (17) shows that \(d_{t+1}\) depends only on \(k_{t+1}\) and \(z_{t+1}\), but is otherwise independent of \((k_t,z_t,d_t)\). This implies that along any perfect foresight solution \(d_t\) is linked to \((k_t,z_t)\) as follows:

$$\begin{aligned} d_t={\textstyle \frac{\displaystyle k_t [G(z_t)R(k_t,z_t)-\lambda (1-\delta )]}{\displaystyle 1-G(z_t)}}\equiv D(k_t,z_t). \end{aligned}$$

Therefore, local stability properties can be analyzed for the two-dimensional dynamic system in the variables \((z_t,k_t)\) defined by (16) and (18) with \(d_t=D(k_t,z_t)\).Footnote 16 Linearization of those two equations at a steady-state (kz) with \(d=D(k,z)\), \(R=R(k,z)\), \(Z=Z(z)\), \(f'=f'(Zk)\), \(f''=f''(Zk)\) yields

$$\begin{aligned}&\Big [1-\frac{1}{R}\frac{\partial D}{\partial k}-\frac{d}{R^2}\frac{\partial R}{\partial k}\Big ] dk_{t+1} +\Big [ \frac{1}{R}\frac{\partial D}{\partial z}-\frac{d}{R^2}\frac{\partial R}{\partial z}\Big ]dz_{t+1} \nonumber \\&\quad =\frac{\beta }{1+g}\Big [ (f'+Zkf'')Z+1-\delta +\frac{\partial D}{\partial k}\Big ] dk_t\nonumber \\&\qquad +\,\frac{\beta }{1+g}\Big [ (f'+Zkf'')Z'k+\frac{\partial D}{\partial z}\Big ] dz_t, \end{aligned}$$
(32)
$$\begin{aligned}&\quad \Big [ (\xi f+d)\frac{1}{1+g}\frac{\partial R}{\partial k}-\frac{\partial D}{\partial k}\Big ] dk_{t+1} +\Big [ (\xi f+d)\frac{1}{1+g}\frac{\partial R}{\partial z}-\frac{\partial D}{\partial z}\Big ]dz_{t+1} \nonumber \\&\qquad = -\frac{R}{1+g}\Big [\frac{\partial D}{\partial k}+\xi f'Z\Big ]dk_t -\frac{R}{1+g}\Big [\frac{\partial D}{\partial z}+\xi f'kZ'\Big ]dz_t. \end{aligned}$$
(33)

From the definitions of R and D, the partial derivatives in these expressions are:

$$\begin{aligned} \frac{\partial R}{\partial k}&=z\cdot f''\cdot Z,\\ \frac{\partial R}{\partial z}&=f'+z\cdot f'' \cdot k\cdot Z',\\ \frac{\partial D}{\partial k}&=\frac{G(z)R-\lambda (1-\delta )+kG(z)\frac{\partial R}{\partial k}}{1-G(z)},\\ \frac{\partial G}{\partial z}&=k\frac{[G'(z)R+G(z)\frac{\partial R}{\partial z}](1-G(z))+G'(z)[G(z)R-\lambda (1-\delta )]}{(1-G(z))^2}. \end{aligned}$$

The linearized system (32) and (33) can be solved as \((k_{t+1},z_{t+1})'=J\cdot (k_t,z_t)'\) with \(2\times 2\)-matrix J. At the calibrated steady-state equilibrium \((k,z,d)=(4.089, 0.625, 0.763)\), the eigenvalues are 0.928 and 0.991; hence, the steady state is locally stable. Moreover, one can confirm that the no-bubble steady states located on the solid branches in Fig. 1 are stable, whereas the bubble steady states on the dashed branches are saddle points. For example, with zero deficit, the no-bubble steady state at \(d=0\) has eigenvalues 0.930 and 0.984, whereas the bubble steady state at \(d=4.03\) has eigenvalues 0.920 and 1.017. Further, at the maximum sustainable deficit level \(\xi =0.837\,\%\), there is a bifurcation where the larger eigenvalue equals one.

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Kaas, L. Public debt and total factor productivity. Econ Theory 61, 309–333 (2016). https://doi.org/10.1007/s00199-015-0900-0

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