THE WELFARE IMPLICATIONS OF COSTLY MONITORING IN THE CREDIT MARKET: A NOTE



Similar documents
On Software Piracy when Piracy is Costly

A Simple Model of Pricing, Markups and Market. Power Under Demand Fluctuations

c 2009 Je rey A. Miron 3. Examples: Linear Demand Curves and Monopoly

Piracy and Network Externality An Analysis for the Monopolized Software Industry

Joint Production and Financing Decisions: Modeling and Analysis

Interbank Market and Central Bank Policy

I will make some additional remarks to my lecture on Monday. I think the main

Capital, Systemic Risk, Insurance Prices and Regulation

6.042/18.062J Mathematics for Computer Science December 12, 2006 Tom Leighton and Ronitt Rubinfeld. Random Walks

Large firms and heterogeneity: the structure of trade and industry under oligopoly

An important observation in supply chain management, known as the bullwhip effect,

Penalty Interest Rates, Universal Default, and the Common Pool Problem of Credit Card Debt

CFRI 3,4. Zhengwei Wang PBC School of Finance, Tsinghua University, Beijing, China and SEBA, Beijing Normal University, Beijing, China

F inding the optimal, or value-maximizing, capital

Dynamics of Open Source Movements

Jena Research Papers in Business and Economics

A joint initiative of Ludwig-Maximilians University s Center for Economic Studies and the Ifo Institute for Economic Research

Complex Conjugation and Polynomial Factorization

Risk and Return. Sample chapter. e r t u i o p a s d f CHAPTER CONTENTS LEARNING OBJECTIVES. Chapter 7

6.4 The Basic Scheme when the Agent is Risk Averse

Estimating the Degree of Expert s Agency Problem: The Case of Medical Malpractice Lawyers

Multiperiod Portfolio Optimization with General Transaction Costs

Working paper No: 23/2011 May 2011 LSE Health. Sotiris Vandoros, Katherine Grace Carman. Demand and Pricing of Preventative Health Care

Do capital adequacy requirements reduce risks in banking?

We are going to delve into some economics today. Specifically we are going to talk about production and returns to scale.

Optimal pricing and capacity choice for a public service under risk of interruption

How To Understand The Difference Between A Bet And A Bet On A Draw Or Draw On A Market

THE WELFARE IMPLICATIONS OF COSTLY MONITORING IN THE CREDIT MARKET. Brian Hillier and Tim Worrall

Separating Trading and Banking: Consequences for Financial Stability

The Online Freeze-tag Problem

WASHINGTON UNIVERSITY IN ST. LOUIS Olin Business School CONTAGION OF A CRISIS, CORPORATE GOVERNANCE, AND CREDIT RATING

An optimal batch size for a JIT manufacturing system

Cash-in-the-Market Pricing and Optimal Bank Bailout Policy 1

Title: Stochastic models of resource allocation for services

Monitoring Frequency of Change By Li Qin

Estimating the Degree of Expert s Agency Problem: The Case of Medical Malpractice Lawyers

1 Gambler s Ruin Problem

What is Adverse Selection. Economics of Information and Contracts Adverse Selection. Lemons Problem. Lemons Problem

Point Location. Preprocess a planar, polygonal subdivision for point location queries. p = (18, 11)

Group lending, local information and peer selection 1

IEEM 101: Inventory control

Time-Cost Trade-Offs in Resource-Constraint Project Scheduling Problems with Overlapping Modes

Re-Dispatch Approach for Congestion Relief in Deregulated Power Systems

The Competitiveness Impacts of Climate Change Mitigation Policies

Two-resource stochastic capacity planning employing a Bayesian methodology

Reference Pricing with Endogenous Generic Entry

Economics 431 Fall nd midterm Answer Key

An Empirical Analysis of the Effect of Credit Rating on Trade Credit

INFERRING APP DEMAND FROM PUBLICLY AVAILABLE DATA 1

Class Notes, Econ 8801 Lump Sum Taxes are Awesome

Outsourcing and Technological Innovations: A Firm-Level Analysis

Asymmetric Information, Transaction Cost, and. Externalities in Competitive Insurance Markets *

A MOST PROBABLE POINT-BASED METHOD FOR RELIABILITY ANALYSIS, SENSITIVITY ANALYSIS AND DESIGN OPTIMIZATION

Service Network Design with Asset Management: Formulations and Comparative Analyzes

Risky Loans and the Emergence of Rotating Savings and Credit Associations

Credit monitoring and development: The impact of nancial integration

Compensating Fund Managers for Risk-Adjusted Performance

How To Find Out If An Equal Cost Sharing Mechanism Is A Maximal Welfare Loss Minimizer

Optimal insurance contracts with adverse selection and comonotonic background risk

How To Determine Rice Discrimination

St.George - ACCI SMALL BUSINESS SURVEY August 2007

Effect Sizes Based on Means

EECS 122: Introduction to Communication Networks Homework 3 Solutions

BUBBLES AND CRASHES. By Dilip Abreu and Markus K. Brunnermeier 1

Price Elasticity of Demand MATH 104 and MATH 184 Mark Mac Lean (with assistance from Patrick Chan) 2011W

Synopsys RURAL ELECTRICATION PLANNING SOFTWARE (LAPER) Rainer Fronius Marc Gratton Electricité de France Research and Development FRANCE

The Behavioral Economics of Insurance

A Multivariate Statistical Analysis of Stock Trends. Abstract

CRITICAL AVIATION INFRASTRUCTURES VULNERABILITY ASSESSMENT TO TERRORIST THREATS

The impact of metadata implementation on webpage visibility in search engine results (Part II) q

Applications of Regret Theory to Asset Pricing

The Gains from Trade and Policy Reform Revisited * W. Erwin Diewert Alan D. Woodland. Abstract

The risk of using the Q heterogeneity estimator for software engineering experiments

Managing specific risk in property portfolios

DAY-AHEAD ELECTRICITY PRICE FORECASTING BASED ON TIME SERIES MODELS: A COMPARISON

European Journal of Operational Research

Comparing Dissimilarity Measures for Symbolic Data Analysis

Stochastic Derivation of an Integral Equation for Probability Generating Functions

An Introduction to Risk Parity Hossein Kazemi

Consumer Price Index Dynamics in a Small Open Economy: A Structural Time Series Model for Luxembourg

Robust portfolio choice with CVaR and VaR under distribution and mean return ambiguity

Index Numbers OPTIONAL - II Mathematics for Commerce, Economics and Business INDEX NUMBERS

Machine Learning with Operational Costs

International Pricing with Costly Consumer Arbitrage

The fast Fourier transform method for the valuation of European style options in-the-money (ITM), at-the-money (ATM) and out-of-the-money (OTM)

UNITED STATES OF AMERICA FEDERAL ENERGY REGULATORY COMMISSION

Large-Scale IP Traceback in High-Speed Internet: Practical Techniques and Theoretical Foundation

On Multicast Capacity and Delay in Cognitive Radio Mobile Ad-hoc Networks

Project Finance as a Risk- Management Tool in International Syndicated Lending

NBER WORKING PAPER SERIES HOW MUCH OF CHINESE EXPORTS IS REALLY MADE IN CHINA? ASSESSING DOMESTIC VALUE-ADDED WHEN PROCESSING TRADE IS PERVASIVE

EFFECTS OF FEDERAL RISK MANAGEMENT PROGRAMS ON INVESTMENT, PRODUCTION, AND CONTRACT DESIGN UNDER UNCERTAINTY. A Dissertation SANGTAEK SEO

Optimal portfolio selection in a Value-at-Risk framework

Quality differentiation and entry choice between online and offline markets

The Economics of Credence Goods: On the Role of Liability, Verifiability, Reputation and Competition

Risk in Revenue Management and Dynamic Pricing

X How to Schedule a Cascade in an Arbitrary Graph

Participation in Farm Markets in Rural Northwest Pakistan: A Regression Analysis

POISSON PROCESSES. Chapter Introduction Arrival processes

Monopoly vs. Compe22on. Theory of the Firm. Causes of Monopoly. Monopoly vs. Compe22on. Monopolis2c Markets P. Natural. Legal.

Transcription:

The Economic Journal, 110 (Aril ), 576±580.. Published by Blackwell Publishers, 108 Cowley Road, Oxford OX4 1JF, UK and 50 Main Street, Malden, MA 02148, USA. THE WELFARE IMPLICATIONS OF COSTLY MONITORING IN THE CREDIT MARKET: A NOTE Bin Xu Hillier and Worrall (1994) derived a surrising result that credit should be further rationed in the costly-monitoring credit-rationing equilibrium. This note shows that their result may be reversed if monitoring costs are endogenously determined. In a aer ublished in this Journal, Hillier and Worrall (1994, henceforth HW) derived a result that the establishment of market ef ciency in the credit-rationing equilibrium of Williamson (1987) requires a olicy aiming at tightening credit rationing. Because this result is surrising and imlies unconventional olicy rescritions, it is worthwhile to check its robustness in a more general setting. In this note, we extend the HW model to allow for endogenous determination of monitoring costs and show that the HW result can be reversed. The general equilibrium model develoed in this note rovides a better foundation for olicy analysis in the costly monitoring situation. 1. The Model This section extends the HW model to allow for endogenous determination of monitoring costs. Consider an economy with á caitalists and (1 á) entrereneurs. Caitalists can either invest K y in a `safe' sector to obtain outut Y ˆ Y (K y ), Y 9.0, Y 0,0, or lend (through cometitive banks) caital to entrereneurs who can undertake rojects in a `risky' sector. Each roject requires one entrereneur and k units of caital (k is an exogenous number), and the outut er unit of caital is a random variable x that follows a distribution function F (:) over [0, x max ]. Let x be the mean of x. Assuming i.i.d. roduction risk and a large number of entrereneurs, x is a constant. Denote K x and X as the caital and outut of the risky sector, X (K x ) ˆ xk x. Caitalists do not observe x unless they monitor. In the HW model, monitoring cost er unit of loan is assumed to be a xed amount of effort. To endogenise the determination of monitoring costs, we introduce into the model a sector that roduces monitoring service whose roduction function is given by Z ˆ Z(K z ), Z9 >0, Z 0<0. Letting c be the market rice of Z and assuming one unit of Z is required to monitor one unit of loan, monitoring cost er unit of loan equals c. The endogenous determination of c as the rice of monitoring service distinguishes our model from that of Hillier and Worrall (1994). The existing literature (Townsend, 1979; Gale and Hellwig, 1985; William- I am grateful to an anonymous referee for helful comments. [ 576 ]

[ APRIL 2000] THE WELFARE IMPLICATIONS 577 son 1987) has established the result that the otimal contract in the resence of costly monitoring is a debt contract where monitoring occurs only in the event of default. Seci cally, for an entrereneur who borrows caital, if she claims that her x is below R, the bank monitors and con scates the entire outcome; otherwise no monitoring occurs and she ays R er unit of loan. Thus total demand for monitoring service equals K x F (R). The market for monitoring service clears when K x F (R) ˆ Z(K z ). Loan ayment R is chosen by banks to maximise the exected ro t er unit of loan, ð ˆ î(r) cf(r) r, where î(r) ˆ R[1 F (R)] R 0 xdf (x) is the exected revenue, cf(r) is the exected monitoring costs, and r is the deosit rate. Banks take c and r as given, and solve a ro t-maximising R m from the rst-order condition î9(r m ) ˆ cf9(r m ). Cometition drives banks' ro t to zero in equilibrium; hence r m ˆ î(r m ) cf(r m ). Given r m, investment in the safe sector is determined by Y 9(K y ) ˆ r m, and investment in monitoring service is determined by cz9(k z ) ˆ r m. The suly of loanable funds is then equal to K s x ˆ K K y K z, where K denotes total caital in the economy. Ex ante, all entrereneurs want to borrow from banks, rovided that x. î(r m ), which is assumed to hold. The demand for loans is then given by K d x ˆ (1 á)k. A credit-rationing equilibrium emerges when the ro t-maximising r m is not high enough to attract loanable funds for all entrereneurs. 2. Welfare Imlications This section comares the equilibrium allocation of credit to entrereneurs (K x m) with the socially-ef cient allocation (K x ). The socially-ef cient allocation requires that marginal social bene t be equated to marginal social cost, x ˆ r c F (R ) c K df (R ) x dk, (1) x where an asterisk denotes the ef cient level of the variable. The left hand side show the marginal social bene t from investment in the risky sector. The right hand side shows the marginal social cost, which is the sum of the marginal caital cost as measured by r and the marginal monitoring costs as measured by the last two terms in the equation. In contrast, the equilibrium allocation only considers the average monitoring cost, which is clear from the zero-ro t condition of banks, î(r m ) ˆ r m cf(r m ). Thus, the socially-ef cient allocation takes into account the externality of a change in K x on the default robability F (R), but the equilibrium allocation does not. What is the imlication of the externality on credit allocation? Under the assumtion of exogenous monitoring costs (c), Hillier and Worrall (1994) showed that K x m. K x, i.e., too much credit is allocated to entrereneurs in the market equilibrium even though they are rationed in credit. With endogenously-determined monitoring costs, however, the HW result may not hold. An examle suf ces to show the ossible reversal of the HW result.

578 THE ECONOMIC JOURNAL [ APRIL Suose x follows the uniform distribution over [0, 1] so that F (R) ˆ R, x ˆ 0:5, and î(r) ˆ R 0:5R 2. Let Y (K y ) ˆ ln(k y ) and Z(K z ) ˆ K z. The market equilibrium can be solved from: (1) Banks' zero-ro t condition, r ˆ R 0:5R 2 cr; (2) Pro t maximisation in the safe sector, 1=K y ˆ r; () Pro t maximisation in monitoring service, c ˆ r; (4) Equilibrium in monitoring service, K x R ˆ K z ; (5) Resource constraint, K x K y K z ˆ K ; (6) Banks' ro t maximisation, 1 R c ˆ 0. The solution is shown in the rst column of Table 1. Table 1 Solutions to the Examle Equilibrium allocation Ef cient allocation K x m ˆ (K 2 )= K x ˆ [K (2 s 2 )=(1 s 2 )]=( s 2 s) K m y ˆ 2 K y ˆ (2 s 2 )=(1 s 2 ) K z m ˆ (K 2 )(1 1= ) K z ˆ [K (2 s 2 )=(1 s 2 )][1 1=( s 2 s)] R m ˆ 1 R ˆ s 2 1 s r m ˆ 2 r ˆ 2 s 2 c m ˆ 2 c ˆ 2 s 2 The socially-ef cient allocation can be solved from (1)±(5) lus: (7) Market ef ciency condition, r cr ck x dr=dk x ˆ x ˆ 0:5. By differentiating (1)± (5) we obtain dr=dk x ˆ (1 R)=f(1 R c)=[r 2 (1 R)] K x g. We write equation (7) as 1 R r ˆ s, where s 0:5 (1 c)r (1 R)cK x =(1 (R c)=[r 2 (1 R)] K x ). Treating s as a arameter, we obtain the solution shown in the second column of Table 1. Substituting the solution into the exression for s, we obtain K as a function of s. To satisfy the restrictions R 2 [0, 1] and K > K y, s must be in the range of [0, 1]. It can be veri ed that K is ositive (K > 2 ) and is monotonically increasing in s over s 2 [0, 1]. The difference between K x and K x m is given by DK K x K x m K (2 s ˆ 2 )=(1 s 2 ) (K 2 ) : (2) s 2 s Using K ˆ K (s), we obtain DK as a function of s. Fig. 1 deicts the function. It is found that DK < 0 for s 2 [0, 0:9], and DK. 0 for s 2 [0:9, 1]. The critical value s ˆ 0:9 corresonds to K ˆ 7:28. Thus, if 2, K, 7:28, then DK, 0, and the HW result holds. If K. 7:28, then DK. 0, and the HW result is reversed. Two numerical examles in Table 2 (s ˆ 0: in case 1 and s ˆ 0:5 in case 2) illustrate the two ossibilities. In this articular examle, the HW result is reversed when the economy has suf ciently large K. The intuition is as follows. As the social lanner reduces R to internalise the externality, both c and K z fall and caital releases from the monitoring sector. The social lanner chooses the ef cient allocation of caital to the safe sector based on r. In this examle, r, r m so that K y.

2000] THE WELFARE IMPLICATIONS OF COSTLY MONITORING 579 Fig. 1. Table 2 Two Possible Cases Case 1. K ˆ 5:6 K x K y K z R r c Equilibrium allocation 1.10.7 0.80 0.7 0.27 0.27 Ef cient allocation 1.0 4.1 0.47 0.46 0.24 0.24 Case 2. K ˆ 11:2 Equilibrium allocation 4.8.7.21 0.7 0.27 0.27 Ef cient allocation 4.80 5.07 1.45 0.0 0.20 0.20 K m y.1 If K is large, then the caital released from the monitoring sector exceeds (K y K m y ) and therefore K x. K x m. If K is small, however, the increase from K m y to K y exceeds the caital released from the monitoring sector and therefore K x, K x m.2 By contrast, in the HW model with exogenous c and zero caital investment in monitoring service, the economy is characterised by r, r m and K z ˆ K z m ˆ 0 such that the ef cient allocation is K y. K m y and K x, K x m. 1 When Z(K z ) takes a more general functional form, it is ossible that r. r m and therefore K y, K m y. In that case, both K y and K z are lower than their equilibrium levels and the reversal of the HW result is indeendent of K (but deendent of arameters of roduction functions). 2 The equilibrium solution is ef cient only when s ˆ 0, which corresonds to K ˆ 2. In that case, all caital is invested in the safe sector.

580 THE ECONOMIC JOURNAL [ APRIL 2000]. Conclusion Does credit need to be further rationed in the costly-monitoring creditrationing equilibrium? The answer by Hillier and Worrall (1994) is af rmative. By extending the HW model to allow for endogenous determination of monitoring costs, we show that the HW result may be reversed. The HW model has an externality that leads to excessive monitoring, but not necessarily excessive credit to entrereneurs. University of Florida Date of receit of rst submission: October 1997 Date of receit of nal tyescrit: July 1999 References Gale, D. and Hellwig, M. (1985). `Incentive-comatible debt contracts I: The one-eriod roblem.' Review of Economic Studies, vol. 52,. 647±64. Hillier, B. and Worrall, T. (1994). `The welfare imlications of costly monitoring in the credit market.' Economic Journal, vol. 104,. 50±62. Townsend, R. M. (1979). `Otimal contracts and cometitive markets with costly state veri cation.' Journal of Economic Theory, vol. 21,. 265±9. Williamson, S. D. (1987). `Costly monitoring, loan contracts, and equilibrium credit rationing.' Quarterly Journal of Economics, vol. 102,. 15±45.