class: center, middle ## Prudential fiscal stimulus ZEW Public Finance Conference, 4 May 2023
#### Alfred Duncan #### University of Kent
#### Charles Nolan #### University of Glasgow
This project is supported by research funding from UKRI Grant Ref: ES/V015559/1 --- class: left, middle ### The conventional view (the Greenspan put)
Stimulus policies increase moral hazard.
Anticipating to be rescued in downturns, firms might take more risk today.
--- class: left, middle ### The theorem (Arnott-Greenwald-Stiglitz)
Policymakers can reduce moral hazard, and increase efficiency, by taxing or regulating the complements of moral hazard and/or subsidising the substitutes for moral hazard.
Doesn't align with concerns about the Greenspan put.
We ask, when does fiscal stimulus reduce the moral hazard problems that concern prudential policymakers?
--- class: left, middle ### Our contribution
- We show that countercyclical wage subsidies can improve welfare, by reducing the cost of moral hazard frictions in firm financing. - Result holds even in the absence of aggregate demand externalities. - We characterise the optimal wage subsidies. - We estimate that simple rule implementations can generate large welfare gains.
Figure: Countries with new or existing wage subsidy schemes during the Covid-19 pandemic (Sources: ILO, IMF, authors’ calculations)
--- class: left, middle ### Intuition behind our result Absent intervention
--- class: left, middle ### Intuition behind our result Introduction of the wage subsidy
--- class: left, middle ### Intuition behind our result Firm's risk allocation response
--- class: left, middle ### Intuition behind our result
--- class: left, middle ### Intuition behind our result
Labour supply is a complement to firms' inside wealth.
Anticipating wage subsidies in recessions, firms will be more prudent in expansions.
The ex-post wage subsidy replicates an ex-ante macroprudential intervention.
--- class: left, middle ### Related literature
Macropru - di Tella (2017); Duncan and Nolan (2022). - Farhi and Werning (2016); Schmitt-Grohe and Uribe (2012); Information economics - Arnott and Stiglitz (1991)
--- class: left, middle # The macroprudential externality --- class: left, middle # The macroprudential externality ## Three ingredients 1. Anonymous unrestricted trade in aggregate-state contingent securities. 2. Agency costs restricting trade in idiosyncratic-state contingent securities. 3. Risk aversion over individual specific states.
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--- class: left, top
### The entrepreneur combines their own wealth with borrowed wealth and labour. Contracts are endogenously incomplete. Entrepreneurs can hide income from external creditors. External creditors can audit the firm and uncover hidden income, but these audits are noisy. (Duncan and Nolan, 2019)
--- class: left, middle ### The entrepreneur's intratemporal problem
Extension
We present an extension using an alternative financial friction applied to a financial intermediary sector. The main results of the paper go through.
--- class: left, middle ### The entrepreneur's intertemporal problem
\\({\color[rgb]{0.7372549019607844,0.5882352941176471, 0.9019607843137255}\int_{s'\in S} p(s') x^e(s') ds + {x^e}(s')}\\) captures trade in aggregate state contingent securities. Markets for aggregate risks are complete.
--- class: left, middle ### The household's problem
$$ v(q) = \max_{x,c,h,{q}'} \mathbb{E} \left\lbrace u(c,h)+ \beta v({q}')\right\rbrace $$ subject to $$ q' = (1+r)q + wh - c - {\color[rgb]{0.7372549019607844,0.5882352941176471, 0.9019607843137255}\int_{s'\in S} p(s') x(s') ds + x(s')}$$
\\({\color[rgb]{0.7372549019607844,0.5882352941176471, 0.9019607843137255}\int_{s'\in S} p(s') x(s') ds + {x}(s')}\\) captures trade in aggregate state contingent securities. Markets for aggregate risks are complete.
--- class: left, middle ### Factor markets
$$\color[rgb]{0.7372549019607844,0.5882352941176471, 0.9019607843137255} l = \dfrac{\mathbb{E}_\Theta f(\theta,k,h)}{(1+r)q^e} $$ $$\dfrac{\mathbb{E}_\Theta [R(\theta,s)]}{1+r} = 1+l\tau$$ $$w = \mathbb{E}_\Theta f_h(\theta,k,h)( 1-\tau )$$
\\(\color[rgb]{0.7372549019607844,0.5882352941176471, 0.9019607843137255}\text{Leverage, }l\\)
--- class: left, middle ### Factor markets
$$ l = \dfrac{\mathbb{E}_\Theta f(\theta,k,h)}{(1+r)q^e} $$ $$\color[rgb]{0.7372549019607844,0.5882352941176471, 0.9019607843137255}\dfrac{\mathbb{E}_\Theta [R(\theta,s)]}{1+r} = 1+l\tau$$ $$w = \mathbb{E}_\Theta f_h(\theta,k,h)( 1-\tau )$$
\\(\color[rgb]{0.7372549019607844,0.5882352941176471, 0.9019607843137255}\text{The equity risk premium, }\\) \\(\color[rgb]{0.7372549019607844,0.5882352941176471, 0.9019607843137255}\rho := \dfrac{\mathbb{E}_\Theta [R(\theta,s)]}{1+r}\\)
--- class: left, middle ### Factor markets
$$ l = \dfrac{\mathbb{E}_\Theta f(\theta,k,h)}{(1+r)q^e} $$ $$\dfrac{\mathbb{E}_\Theta [R(\theta,s)]}{1+r} = 1+l\tau$$ $$\color[rgb]{0.7372549019607844,0.5882352941176471, 0.9019607843137255} w = \mathbb{E}_\Theta f_h(\theta,k,h)( 1-\tau )$$
\\(\color[rgb]{0.7372549019607844,0.5882352941176471, 0.9019607843137255}\text{Wages, }w\\)
--- class: left, top ### The competitive allocation of aggregate risk
$$ \dfrac{\beta^e\ {\mathbb{E}'_{\Theta}u^{e}}'({c^e}'(\theta'))}{{u^e}'(c^e)} = \dfrac{\beta\ u'({c}',h')}{u'(c,h)} $$
--- class: left, top ### Optimal macroprudential policy
$$ (1+\omega) \dfrac{\beta^e\ {\mathbb{E}'_{\Theta}u^{e}}'({c^e}'(\theta'))}{{u^e}'(c^e)} = \dfrac{\beta\ u'({c}',h')}{u'(c,h)} $$
Under optimal policy $$ \dfrac{\partial\omega}{\partial l},\dfrac{\partial\omega}{\partial \sigma} > 0.$$ Optimal macroprudential policy leans against - fluctuations in leverage, and - entrepreneurs' exposure to risk shocks. --- class: left, top ### The macroprudential externality
- Cyclical risk is a complement to downturn moral hazard. - Entrepreneurs accept too much cyclical risk, - amplifying the cost of moral hazard in downturns, - Arnott-Stiglitz: Regulate cyclical risk (macroprudential) --- class: left, middle # Optimal wage subsidy policy --- class: left, top ### Optimal wage subsidy policy - example with log utility
**Proposition** Let $$u(c,h) = \log c - \dfrac{h^{1+\psi}}{1+\psi},\qquad u^e(c^e) = \log c^e. $$ a. Optimal wage subsidy: $$\varsigma^* = \dfrac{\tau}{1-\tau}\left(1-\left(\frac{l_0 \rho - l\rho_0}{\rho-1}\right)\frac{ (1-\beta^e)}{l_0-(1-\beta^e)\rho_0} \right).$$ b. Output is completely stabilised in response to uncertainty shocks, and is proportional to total factor productivity.
--- class: left, top ### Optimal wage subsidy policy - example with log utility
Under the competitive equilibrium in the absence of wage subsidy policy, real output follows $$ y = z \left(\frac{\alpha l(1-\tau)}{l-(1-\beta^e)\rho}\right)^{\frac{\alpha}{1+\psi}}.$$ Under the optimal wage subsidy, real output follows $$ y = z \left(\frac{\alpha l_0 }{l_0-(1-\beta^e)\rho_0}\right)^{\frac{\alpha}{1+\psi}}$$ Real output is proportional to total factor productivity in both regimes, but only responds to fluctuations in leverage and risk under the competitive equilibrium. Under the optimal wage subsidy regime, output does not respond to uncertainty shocks.
--- class: left, top ### How the intervention works
*Benefit* Wage subsidies - complement firms' wealth, - encourage precaution during expansions, and - decreases financial frictions in downturns. - First order welfare gain.
*Cost* Wage subsidies - introduces a distortion between labour supply and demand, - Second order welfare cost. --- class: left, middle # Quantitative exercise --- class: left, middle ### Exercise
- We estimate the model on US business cycle data, with no macroprudential or wage subsidy policy. - We add a wage subsidy, via a simple rule, and find the optimal simple rule and the associated welfare gain.
--- class: left, top ### Wage subsidy simple rule
We propose the following simple rule: $$ \varsigma = -\phi_\varsigma (y-y_0)$$ where \\(\varsigma\\) is the wage subsidy (tax if negative), and \\(y_0\\) is deterministic steady state output.
--- class: center, top #### Expected welfare effects of wage subsidy simple rules
Welfare gain is expressed as a share of business cycle welfare losses.
Shaded area indicates 90% credible interval. --- class: center, top #### Persistence of TFP shocks
Welfare gain is expressed as a share of business cycle welfare losses. --- class: left, middle ## Extensions ### Commitment vs discretion Optimal wage subsidy policy generates an ex post distortion, that reduces efficiency. The benefit of the policy derives from changes in agents' actions ex ante. In the flexible price model, a policymaker optimising under discretion does not use wage subsidy policies. ### Sticky prices (Dixit's critique) If the margin that the policy is acting on is distorted,
then the Arnott-Stiglitz logic doesn't necessarily hold. New Keynesian markups act on same margin as policy. We verify that New Keynesian frictions do not overturn the result. In fact, in the NK extension, the commitment problem is less severe, as there is an ex post incentive to stimulate the economy. --- class: left, top ### Summary
We present a model where moral hazard generates a macroprudential externality. In lieu of aggregate demand externalities, there is still a role for fiscal stimulus. If the stimulus programme complements inside wealth, like a labour subsidy, then it will - encourage firms' prudence during the preceding expansion, and - reduce the costs of the moral hazard friction, - increasing welfare.