18. Application of the Moral Hazard Model: Innes (1990)

18. Application of the Moral Hazard Model: Innes (1990)

Note

本章导读 本章把道德风险模型应用于创业者的融资问题。§18.1 设定:创业者有项目创意、可付出努力 \(e\)(成本 \(\Phi(e)\) 递增且凸)但没钱,且风险中性;产出 \(x\in[0,\overline x]\) 服从 \(F(x\mid e)\);他需向同样风险中性的债权人融资并设计回款方案 \(r(x)\),受有限责任 \(0\le r(x)\le x\) 约束;债权人的 IR 要求期望回款 \(\ge I\)(本金加利息)。§18.2 问题:原始规划 (18.1)–(18.4) 的 IC 难验,故用一阶方法 (FOA) 松弛 (18.5)–(18.8);拉格朗日整理为 \(\mathcal{L}=\int r(x)[\lambda-1-\mu\frac{f_e}{f}]f\,dx+C(x,e)\) (18.9),点态一阶条件 (18.10) 加 MLRP 给出极端(活/死)回款方案 \(r^\star(x)=x\,(x\le\hat x),\,0\,(x>\hat x)\)(图 29,非单调)。再加单调性约束,则命题 18.1:若 \(r(x)\) 弱递增且 \(f\) 满足 MLRP,则风险中性双方下最优回款方案必为债务合约 \(r^D(x)=\min\{x,D\}\)(定义 18.1),三步证明(找 \(D\) 使期望回款=\(I\)、\(e^D>e^\star\)、双方都更好)。图 29 与债务合约比较图均已转述。

18. Application of the Moral Hazard Model: Innes (1990)

Note

Overview This chapter applies the moral-hazard model to the entrepreneur's financing problem. §18.1 set-up: the entrepreneur has a project idea and can exert effort \(e\) (cost \(\Phi(e)\) increasing and convex) but has no money, and is risk-neutral; output \(x\in[0,\overline x]\) follows \(F(x\mid e)\); he must raise money from an equally risk-neutral creditor and design a payback scheme \(r(x)\) subject to limited liability \(0\le r(x)\le x\); the creditor's IR requires expected payback \(\ge I\) (outlay plus interest). §18.2 the problem: the original program (18.1)–(18.4) has an uncheckable IC, so use the first-order approach (FOA) relaxation (18.5)–(18.8); the Lagrangian rearranges to \(\mathcal{L}=\int r(x)[\lambda-1-\mu\frac{f_e}{f}]f\,dx+C(x,e)\) (18.9), and the point-wise f.o.c. (18.10) plus MLRP gives an extreme (live/die) payback scheme \(r^\star(x)=x\,(x\le\hat x),\,0\,(x>\hat x)\) (Figure 29, non-monotone). Adding a monotonicity constraint, Proposition 18.1: if \(r(x)\) is weakly increasing and \(f\) satisfies MLRP, then with risk-neutral parties the optimal payback scheme must be a debt contract \(r^D(x)=\min\{x,D\}\) (Definition 18.1), proved in three steps (find \(D\) matching expected payback \(=I\), \(e^D>e^\star\), both parties better off). Figure 29 and the debt-contract comparison figure are paraphrased.

本模型求解创业者的问题,设定如下。

18.1 设定 / Set-up

This model solves the entrepreneur's problem, with the following set-up.

18.1 Set-up

Important

设定 / Set-up 创业者有一个项目创意,可付出努力 \(e\) 来推进,但没有钱。努力 \(e\) 产生成本 \(\Phi(e)\),关于 \(e\) 递增且凸,\(\Phi'(e)>0\)、\(\Phi''(e)>0\)。创业者风险中性,最大化期望支付;产出 \(x\in\mathcal{X}=[0,\overline x]\) 的分布由累积分布 \(F(x\mid e)\) 刻画,密度 \(f(x\mid e)\)。创业者需向债权人融资,并设计回款方案 \(r(x)\)——即产出 \(x\) 实现后须偿还给债权人的金额,故需设计函数 \(r(\cdot)\);创业者有有限责任,\(0\le r(x)\le x\)。假设债权人也风险中性,记其本金加利息为 \(I\);创业者在期望意义上至少偿还 \(I\) 才能使该项目对债权人理性,这构成债权人的 IR 约束。The entrepreneur has an idea of a project and can put in effort \(e\) to carry it out, but has no money. Effort \(e\) incurs a cost \(\Phi(e)\), increasing and convex in \(e\), \(\Phi'(e)>0\), \(\Phi''(e)>0\). The entrepreneur is risk-neutral and maximizes the expected payoff; the outcome \(x\in\mathcal{X}=[0,\overline x]\) has a distribution characterized by the c.d.f. \(F(x\mid e)\) with density \(f(x\mid e)\). The entrepreneur needs to raise money from a creditor and design a payback scheme \(r(x)\) — the amount to pay back once outcome \(x\) is realized, so he must design the function \(r(\cdot)\); the entrepreneur has limited liability, \(0\le r(x)\le x\). Assume the creditor is also risk-neutral, with initial outlay plus interest denoted \(I\); the entrepreneur must pay back at least \(I\) in expectation to make the project rational for the creditor, forming the creditor's IR constraint.

18.2 问题 / The problem

18.2.1 原始问题 / The original problem

创业者的规划为下式 (18.1),受 (18.2)–(18.4) 约束。其中 IR (18.2) 紧约束,因为理性的创业者没有激励多给债权人钱。

18.2 The problem

18.2.1 The original problem

The entrepreneur's program is (18.1) below, subject to (18.2)–(18.4). The IR constraint (18.2) is binding because a rational entrepreneur has no incentive to give extra money to the creditor.

$$ \max_{r(\cdot),\,e\in[0,\overline x]}\ \left[\int_{\mathcal{X}}(x-r(x))f(x\mid e)\,dx\right]-\Phi(e) \tag{18.1} $$

$$ \left[\int_{\mathcal{X}}r(x)f(x\mid e)\,dx\right]=I \tag{18.2} $$

$$ e\in\arg\max_{\tilde e\in[0,\overline x]}\left[\int_{\mathcal{X}}(x-r(x))f(x\mid\tilde e)\,dx\right]-\Phi(\tilde e) \tag{18.3} $$

$$ 0\le r(x)\le x \tag{18.4} $$

Important

三个假设 / Three assumptions 1. 问题 (18.1) 有一个对创业者有吸引力的解。(a) 即可能存在期望意义上 \(x-r(x)>0\) 的解;(b) 有此假设便无需再为创业者显式添加 IR 约束。2. 最优解的努力水平 \(e\) 低于第一最优水平。(a) 第一最优努力即创业者若用自有资金做项目时会付出的努力;(b) 这使问题有趣,否则就成了无隐藏行动、无道德风险的博弈。3. 假设函数 \(\int_z^{\overline x}(x-r(x))f(x\mid e)\,dx-\Phi(e)\) 对任意 \(z\in(0,\overline x)\) 关于 \(e\) 严格凹,并在某个 \(e\in(0,\overline e)\) 取唯一最大值。(a) 此条件弱于 CDFC;(b) 它蕴含 FOA 问题与原问题等价。1. Problem (18.1) has a solution attractive to the entrepreneur. (a) This means it is possible to have a solution with positive \(x-r(x)\) in expectation; (b) with this assumption we don't need to explicitly add another IR constraint for the entrepreneur. 2. The optimal solution has an effort level \(e\) below the first-best level. (a) The first-best effort is the effort the entrepreneur would put in if he used his own money; (b) this makes the problem interesting, otherwise we'd have a game without hidden action and moral hazard. 3. Assume the function \(\int_z^{\overline x}(x-r(x))f(x\mid e)\,dx-\Phi(e)\) is strictly concave in \(e\) for any \(z\in(0,\overline x)\), attaining a unique maximum for some \(e\in(0,\overline e)\). (a) This condition is weaker than CDFC; (b) it implies the equivalence of the FOA problem and the original problem.

18.2.3 松弛的一阶方法问题 / The relaxed first-order approach problem

由于上面的假设 3 保证 FOA 问题与原问题等价,我们可改考虑 FOA 问题——把原始 IC (18.3) 替换为 IC 一阶条件 (18.7):

18.2.3 The relaxed first-order approach problem

Since assumption 3 above guarantees the equivalence of the FOA problem and the original problem, we can instead consider the FOA problem — replacing the original IC (18.3) with the IC-f.o.c. constraint (18.7):

$$ \max_{r(\cdot),\,e\in[0,\overline x]}\ \left[\int_{\mathcal{X}}(x-r(x))f(x\mid e)\,dx\right]-\Phi(e) \tag{18.5} $$

$$ \left[\int_{\mathcal{X}}r(x)f(x\mid e)\,dx\right]=I \tag{18.6} $$

$$ \left[\int_{\mathcal{X}}(x-r(x))f_e(x\mid e)\,dx\right]-\Phi'(e)=0 \tag{18.7} $$

$$ 0\le r(x)\le x \tag{18.8} $$

构造拉格朗日函数(暂不含有限责任约束 (18.8),它稍后在分析中使用):

Form the Lagrangian as follows, without the limited-liability constraint (18.8) (which is later used in the analysis):

$$ \mathcal{L}=\int_{\mathcal{X}}[x-r(x)]f(x\mid e)\,dx-\Phi(e)+\lambda\left(\int_{\mathcal{X}}r(x)f(x\mid e)\,dx-I\right)+\mu\left(\int_{\mathcal{X}}(x-r(x))f_e(x\mid e)\,dx-\Phi'(e)\right) $$

整理这个拉格朗日函数,把含 \(r(x)\) 的项与不含 \(r(x)\) 的项(记为 \(C(x,e)\))分开:

Rearrange this Lagrangian, separating the terms with \(r(x)\) from those without (denoted \(C(x,e)\)):

$$ \mathcal{L}=\int_{\mathcal{X}}r(x)\left[\lambda-1-\mu\frac{f_e(x\mid e)}{f(x\mid e)}\right]f(x\mid e)\,dx+C(x,e) \tag{18.9} $$

关于 \(r(\cdot)\) 的点态一阶条件:对每个固定 \(x\),关于 \(r(x)\) 做点态最大化,得对任意 \(x\) 都成立的一阶条件,钉死内部解 \(r(\cdot)\)(但 (18.10) 不必随 \(x\) 恒成立):

Point-wise first-order conditions for \(r(\cdot)\): for each fixed \(x\), maximize w.r.t. \(r(x)\) point-wise, yielding the f.o.c. that holds for \(r(\cdot)\) at any \(x\) and pins down the interior solution \(r(\cdot)\) (but (18.10) is not necessarily true as \(x\) changes):

$$ \lambda-1-\mu\frac{f_e(x\mid e)}{f(x\mid e)}=0 \tag{18.10} $$

Tip

\(\mu>0\) 与 MLRP / \(\mu>0\) and MLRP 由 MLRP(定义 17.1),\(\dfrac{f_e(x\mid e)}{f(x\mid e)}\) 随 \(x\) 递增。又 \(\mu>0\),因为:(i) 由拉格朗日的设置方式 \(\mu\ge0\)(脚注 18.1:否则 \(\mu<0\) 意味创业者付出过多努力使 \(\int(x-r(x))f_e\,dx<\Phi'(e)\),不可能最优);(ii) 若 \(\mu=0\),IC 一阶条件不紧约束,创业者会选最低努力,这与其从 \(x-r(x)\) 中获得的激励不一致;故绝大多数情形 \(\mu=0\) 不成立,即便有 \(f(x\mid e)\) 使 \(\mu=0\) 成立,那也是努力恒为最低的无趣情形。所以 \(\mu>0\)。By MLRP (Definition 17.1), \(\dfrac{f_e(x\mid e)}{f(x\mid e)}\) increases in \(x\). Also \(\mu>0\), because: (i) \(\mu\ge0\) by the way the Lagrangian is set up (footnote 18.1: otherwise \(\mu<0\) means the entrepreneur puts in too much effort such that \(\int(x-r(x))f_e\,dx<\Phi'(e)\), which cannot be optimal); (ii) if \(\mu=0\), the IC-f.o.c. is not binding and the entrepreneur chooses the lowest effort, inconsistent with the incentive coming from \(x-r(x)\); so in most cases \(\mu=0\) cannot be true, and even where \(f(x\mid e)\) makes \(\mu=0\) true, it is the uninteresting case where effort is always the lowest. So \(\mu>0\).

考虑有限责任约束 (18.8) 对 \(r(x)\) 的边界限制,得最优回款方案的条件:定义 \(\hat x\) 满足 \(\lambda-1-\mu\dfrac{f_e(\hat x\mid e)}{f(\hat x\mid e)}=0\)。则当 \(x\le\hat x\) 时 \(\lambda-1-\mu\dfrac{f_e}{f}\ge0\),蕴含 \(r(x)=x\);当 \(x>\hat x\) 时 \(\lambda-1-\mu\dfrac{f_e}{f}<0\),蕴含 \(r(x)=0\)。于是最优回款方案为:

Consider the boundaries of \(r(x)\) imposed by the liability constraint (18.8), giving the condition for the optimal payback scheme: define \(\hat x\) by \(\lambda-1-\mu\dfrac{f_e(\hat x\mid e)}{f(\hat x\mid e)}=0\). Then for \(x\le\hat x\), \(\lambda-1-\mu\dfrac{f_e}{f}\ge0\), implying \(r(x)=x\); for \(x>\hat x\), \(\lambda-1-\mu\dfrac{f_e}{f}<0\), implying \(r(x)=0\). So the optimal payback scheme is:

$$ r^\star(x)=\begin{cases} x & \text{if } x\le\hat x\\[2pt] 0 & \text{if } x>\hat x\end{cases} $$

Note

图 29 / Figure 29(已转述 / paraphrased) 图 29a(债权人支付 \(r(x)\)):在 \(x\le\hat x\) 段,\(r(x)=x\) 沿 45 度线上升至高度 \(\hat x\);在 \(x>\hat x\) 段 \(r(x)=0\)(债权人在高产出区一分钱都拿不到)。图 29b(创业者支付 \(x-r(x)\)):在 \(x\le\hat x\) 段恒为 0(创业者把全部产出还给债权人);在 \(x>\hat x\) 段 \(x-r(x)=x\),以斜率 1 上升。这是一种"活/死"式的极端方案——低产出全归债权人、高产出全归创业者。Figure 29a (creditor's payoff \(r(x)\)): on the \(x\le\hat x\) segment, \(r(x)=x\) rises along the 45-degree line to height \(\hat x\); on the \(x>\hat x\) segment \(r(x)=0\) (the creditor gets nothing in the high-output region). Figure 29b (entrepreneur's payoff \(x-r(x)\)): on \(x\le\hat x\) it is 0 (the entrepreneur pays all output back to the creditor); on \(x>\hat x\), \(x-r(x)=x\) rises with slope 1. This is an extreme "live/die" scheme — low output all to the creditor, high output all to the entrepreneur.

单调性假设 / Monotonicity assumption

图 29a/29b 描绘的最优回款方案显然不是关于 \(x\) 单调的。设进一步施加约束:\(r(x)\) 关于 \(x\) 弱递增。则有如下命题。

Monotonicity assumption

The optimal payback scheme depicted in Figures 29a/29b is clearly not monotone in \(x\). Suppose we further impose the restriction that \(r(x)\) is weakly increasing in \(x\). Then we have the following proposition.

Important

命题 18.1 与定义 18.1 / Proposition 18.1 and Definition 18.1 命题 18.1:若 \(r(x)\) 关于 \(x\) 弱递增且 \(f(x\mid e)\) 满足 MLRP,则对风险中性的创业者与债权人,最优回款方案必为债务合约定义 18.1(债务合约):债务合约 \(r^D(\cdot)\) 定义为 \(r^D(x)=\min\{x,D\}\),其中 \(D\) 为本金加预定利息。Proposition 18.1: If \(r(x)\) is weakly increasing in \(x\) and \(f(x\mid e)\) satisfies MLRP, then for a risk-neutral entrepreneur and creditor, the optimal payback scheme must be a debt contract. Definition 18.1 (Debt contract): a debt contract \(r^D(\cdot)\) is defined by \(r^D(x)=\min\{x,D\}\), where \(D\) is the initial outlay plus the pre-determined interest.

Note

命题 18.1 证明 / Proof of Proposition 18.1 反设不然。则带单调性的最优合约记为 \(r^\star(x)\),它不是债务合约,对应最优努力 \(e^\star\)。我们分三步证明 \((r^\star(\cdot),e^\star)\) 并非最优。Suppose not. Then the optimal contract with monotonicity is denoted \(r^\star(x)\), which is not a debt contract, with corresponding optimal effort \(e^\star\). We prove \((r^\star(\cdot),e^\star)\) is not optimal in three steps.

第一步:因 \(r^D(\cdot)\) 弱递增,可找到 \(D\) 使下式成立(\(I\) 为本金加预定利息):First, since \(r^D(\cdot)\) is weakly increasing, we can find \(D\) such that (\(I\) is initial outlay plus pre-determined interest):

$$I=\int_{\mathcal{X}}r^\star(x)f(x\mid e^\star)\,dx=\int_{\mathcal{X}}r^D(x)f(x\mid e^\star)\,dx$$

记 \(r^D(\cdot)\) 对应的最优努力为 \(e^D\)。可论证 \(e^D>e^\star\)(细节见 Innes 1990):债务合约 \(r^D(\cdot)\) 在 \(x\le D\) 处最大斜率为 1、\(x>D\) 处斜率为 0;非债务合约 \(r^\star(\cdot)\)(脚注 18.2:非债务+单调性意味 \(r^\star(\cdot)\) 在 \(D\) 之后某处有严格正斜率)要有同样的期望值 \(I\),必存在 \(\tilde x\) 使 \(r^D(x)\ge r^\star(x)\)(\(x\le\tilde x\))、\(r^D(x)\tilde x\))(脚注 18.3:因有限责任,\(r^\star(x)\) 在 \(D\) 之前位于 \(r^D(x)\) 下方且不会与之相交)。Denote the optimal effort with \(r^D(\cdot)\) by \(e^D\). We can show \(e^D>e^\star\) (see Innes 1990 for details): the debt contract \(r^D(\cdot)\) has maximum slope 1 for \(x\le D\) and slope 0 for \(x>D\); for a non-debt contract \(r^\star(\cdot)\) (footnote 18.2: non-debt plus monotonicity imply \(r^\star(\cdot)\) has strictly positive slope somewhere after \(D\)) to have the same expectation \(I\), there must be \(\tilde x\) such that \(r^D(x)\ge r^\star(x)\) for \(x\le\tilde x\) and \(r^D(x)\tilde x\) (footnote 18.3: by limited liability, \(r^\star(x)\) is below and cannot cross \(r^D(x)\) before \(D\)).

比较图,已转述:\(r^D(x)\) 红线先沿 45 度升至 \(D\) 再水平;\(r^\star(x)\) 蓝线呈 S 形,在 \(\tilde x>D\) 处自下方穿过 \(r^D\)。)相比 \(r^\star(\cdot)\),债务合约 \(r^D(\cdot)\) 把回款"从右向左"移动,也即把对创业者的支付"从左向右"移动。因 \(f(x\mid e)\) 满足 MLRP,最优努力 \(e^D\) 上升,即 \(e^D>e^\star\)。(Comparison figure, paraphrased: the red line \(r^D(x)\) rises along the 45-degree line to \(D\) then flattens; the blue line \(r^\star(x)\) is S-shaped, crossing \(r^D\) from below at \(\tilde x>D\).) Compared with \(r^\star(\cdot)\), the debt contract \(r^D(\cdot)\) shifts payback from right to left, which shifts the payoff to the entrepreneur from left to right. Since \(f(x\mid e)\) satisfies MLRP, the optimal effort \(e^D\) increases, i.e. \(e^D>e^\star\).

第二步:在债务合约下做分部积分:Second, under debt contracts, do integration by parts:

$$\int_{\mathcal{X}}r^D(x)f(x\mid e^D)\,dx=\int_{\mathcal{X}}\min\{x,D\}f(x\mid e^D)\,dx=\overline x-\int_0^D F(x\mid e^D)\,dx$$

同理 \(\int_{\mathcal{X}}r^D(x)f(x\mid e^\star)\,dx=\overline x-\int_0^D F(x\mid e^\star)\,dx\)。由 MLRP,\(e^D>e^\star\) 蕴含对任意 \(x\) 有 \(F(x\mid e^D)\le F(x\mid e^\star)\),故Similarly \(\int_{\mathcal{X}}r^D(x)f(x\mid e^\star)\,dx=\overline x-\int_0^D F(x\mid e^\star)\,dx\). By MLRP, \(e^D>e^\star\) implies \(F(x\mid e^D)\le F(x\mid e^\star)\) for any \(x\), so

$$\int_{\mathcal{X}}r^D(x)f(x\mid e^D)\,dx>\int_{\mathcal{X}}r^D(x)f(x\mid e^\star)\,dx=I$$

这意味 \((r^D(\cdot),e^D)\) 使风险中性的债权人更好。which implies \((r^D(\cdot),e^D)\) makes the risk-neutral creditor better off.

第三步:因 \(\int_{\mathcal{X}}r^\star(x)f(x\mid e^\star)\,dx=\int_{\mathcal{X}}r^D(x)f(x\mid e^\star)\,dx\),故 \(\int_{\mathcal{X}}(x-r^\star(x))f(x\mid e^\star)\,dx=\int_{\mathcal{X}}(x-r^D(x))f(x\mid e^\star)\,dx\),即创业者本可在 \(r^D(\cdot)\) 下选同样努力 \(e^\star\) 得到同样支付,但他却选了更高的 \(e^D\),故其在 \((r^D(\cdot),e^D)\) 下支付更高:Third, since \(\int_{\mathcal{X}}r^\star(x)f(x\mid e^\star)\,dx=\int_{\mathcal{X}}r^D(x)f(x\mid e^\star)\,dx\), we have \(\int_{\mathcal{X}}(x-r^\star(x))f(x\mid e^\star)\,dx=\int_{\mathcal{X}}(x-r^D(x))f(x\mid e^\star)\,dx\), i.e. the entrepreneur could choose the same effort \(e^\star\) under \(r^D(\cdot)\) to obtain the same payoff, but instead chooses a higher \(e^D\), so his payoff is higher under \((r^D(\cdot),e^D)\):

$$\int_{\mathcal{X}}(x-r^\star(x))f(x\mid e^\star)\,dx<\int_{\mathcal{X}}(x-r^D(x))f(x\mid e^D)\,dx$$

故创业者在债务合约 \(r^D(\cdot)\) 加努力 \(e^D\) 下也更好。综上,创业者与债权人在债务合约下都更好,与 \((r^\star(\cdot),e^\star)\) 的最优性矛盾。\(\blacksquare\)So the entrepreneur is also better off under the debt contract \(r^D(\cdot)\) with effort \(e^D\). Therefore both entrepreneur and creditor are better off under the debt contract, contradicting the optimality of \((r^\star(\cdot),e^\star)\). \(\blacksquare\)

参考文献 / References

  • Innes, R. D. (1990). Limited Liability and Incentive Contracting with Ex-ante Action Choices.(债务合约作为最优回款方案)
  • Holmstrom, B. (1979). Moral Hazard and Observability.(隐藏行动的基础框架,见 [[moral-hazard]])

References

  • Innes, R. D. (1990). Limited Liability and Incentive Contracting with Ex-ante Action Choices. (the debt contract as the optimal payback scheme)
  • Holmstrom, B. (1979). Moral Hazard and Observability. (the foundational hidden-action framework; see [[moral-hazard]])