Abstract
Besley and Coate (1995) analyse the impact of joint liability and social sanctions on repayment rates when repayment enforcement is imperfect. Motivated by the microfinance industry’s move towards markets, we conduct an equilibrium analysis of the Besley–Coate model. We find that individual loan contracts may be used in market equilibrium, even though group lending entails the higher repayment rate and the lower break-even interest rate. This is because group lending causes potentially large deadweight losses. The market equilibrium is possibly characterised by financial fragility, redlining or rationing. Cooperation between borrowers and social sanctions imposed on each other in the case of strategic default turn group lending into the equilibrium mode of finance and ameliorate the market failures.
Introduction
Two stylised facts of the microfinance industry are that (a) ‘microfinance meets the market’ (Cull et al. 2009) and that (b) group lending (GL) arrangements regularly incorporate enforcement mechanisms beyond joint liability including mechanisms that rely on social capital.
(a) Microfinance institutions (MFIs) increasingly rely on markets to fund loans. In Cull et al.’s (2009: 174) sample of 346 MFIs with combined assets of $25 billion (which is somewhat skewed toward for-profits) for-profit institutions (banks, credit unions and rural banks) account for 60 per cent of the assets, NGOs for 21 per cent and the non-bank financial institutions, which include both for-profits and non-profits, for 19 per cent. According to Reille and Forster (2008: 1), ‘[t]he entry of private investors is the most notable change in the microfinance investment marketplace’. There is a broad consensus that the huge demand for microcredit will continue to attract financial institutions with commercial interests: ‘[m]icrofinance will no doubt continue to expand and become part of the financial mainstream’ (Cull et al. 2009: 189). This trend towards market funding poses a challenge to microfinance theory, calling for equilibrium models of the markets for microcredit and loanable funds.
(b) While early studies of GL emphasised the incentive effects of joint liability per se, it has become increasingly clear that other aspects of the lender–borrower relation are essential in making joint liability operative and in fostering high repayment rates (i.e., repayment probabilities) through other channels (see, e.g., Morduch 1999, Section 3, and Armendáriz de Aghion and Morduch 2000, Section 5). Some mechanisms are operative both with individual lending (IL) and with GL: contingent renewal provides incentives to invest in one’s reputation as a reliable borrower, and frequent repayments help substitute income for wealth as collateral. The mechanisms specific to GL ‘all rely on social connections’ (Karlan 2007: F52). They include peer monitoring and cross reporting, which help overcome information asymmetries when borrowers are better informed about each other than lenders are. Moreover, social connections between group members provide incentives to invest in one’s reputation as a reliable business partner in trade transactions and allow the exertion of direct social pressure to repay, in particular when otherwise group members become liable for one’s obligations.
The present article performs an equilibrium analysis of one of the seminal models in the theory of microfinance, viz., Besley and Coate’s (1995) (henceforth: ‘BC’) GL model. BC investigate the impact of joint liability and social sanctions in borrower groups on loan repayment rates. Project returns are sufficient to repay in their model, but due to enforcement problems, borrowers do not repay unless the penalty for default weighs heavier than the burden of repayment. Compared with IL, GL has two effects on repayment rates then. For one thing, it enhances repayment when one borrower is able and willing to stand in for a member of a group who does not repay. For another, however, liability for the repayment of the other members of her group potentially discourages a borrower from repaying at all when she would have repaid an individual loan. BC show that, in the absence of social sanctions, when pay-offs are independently and uniformly distributed and penalties for default are proportional to pay-offs, (depending on model parameters) either GL leads to a lower repayment rate than IL for all interest rates or the repayment rate is higher with GL than with IL only at low interest rates. By contrast, GL dominates IL in terms of repayment rates if there are sufficiently severe social sanctions. These results have been highly influential in shaping the view that joint liability in groups succeeds in achieving high repayment rates only in conjunction with other enforcement mechanisms.
BC emphasise that their results ‘should not be taken as implying that group lending is better or worse than individual lending in any broader sense than repayment rates’ (p. 16), so ‘a more comprehensive analysis of the differences between the two lending schemes is an interesting subject for further research’ (p. 16). This is the aim of the present article: in line with stylised fact (a), we supplement the BC model with a minimum set of additional assumptions that enables us to characterise market equilibria. We determine the equilibrium lending type (IL or GL), which maximises borrower utility, that is, minimises deadweight losses, subject to the break-even constraint for MFIs. In line with stylised fact (b), we take account of two kinds of social capital which help enforce repayments in groups, viz., cooperative behaviour in the repayment game (as in Ahlin and Townsend 2007, Subsection 1.3.2) 1 and social sanctions (as in BC, Section 4).
We show that there is even less scope for GL as the equilibrium mode of finance in the model with non-cooperative behaviour and without social sanctions than BC’s comparison of repayment rates suggests: for a broad range of model parameters, IL is used in equilibrium, even though GL achieves a higher repayment rate and breaks even at a lower interest rate. This is a straightforward consequence of the basic model mechanisms: With IL, default occurs if, and only if, the return on investment is so low that it does not pay to repay a single loan. By contrast, with GL default potentially occurs when a borrower is willing to repay one loan but not two loans (viz., if, in addition, the other group member is not willing to repay a single loan). Hence, for a given interest rate, default occurs at higher project returns with GL and, given that penalties are proportional to project returns, causes larger penalties (i.e., deadweight losses) if it occurs. As a consequence, whenever the break-even interest rates with IL and GL are not too dissimilar, the equilibrium type of finance is IL. Moreover, we show that the market equilibrium potentially displays the sorts of allocation failure familiar from the literature on asymmetric information in credit markets, viz., financial fragility, redlining or credit rationing. Cooperative behaviour and social sanctions not only enhance repayment rates (compared with the non-cooperative case without sanctions) but also turn GL into the equilibrium mode of finance and ameliorate the equilibrium allocation failures. 2
The BC model is the ‘best known paper’ on enforcement in GL (Cassar et al. 2007: F86). It is one of the four models Ahlin and Townsend (2007) subject to their repayment rate-based test of models of joint liability lending (see also Armendáriz de Aghion and Morduch 2005: 297–298; Ghatak and Guinnane 1999: 209; Giné and Karlan 2008: 7; Karlan 2007: F58). The popularity of the model in microfinance theory, jointly with stylised fact (a), provides a sound motivation for a reconsideration of the model with a focus on market equilibria. The most closely related papers are Rai and Sjöström (2004, 2010) and Bhole and Ogden (2010), which analyse repayment incentives in microcredit markets with asymmetric information. A big advantage of these models is that, as they follow the mechanism design approach, any potential inefficiencies cannot be attributed to the use of non-optimal contracts. Viewed from this perspective (see also Townsend 2003), an important caveat with regard to our results is that borrowers’ full liability for their peer group member’s repayment in conjunction with penalties which are proportional to pay-offs is evidently non-optimal in the BC model if one assumes that the penalties for default can be chosen freely: the threat of sufficiently severe penalties which will not be implemented in equilibrium ensures contractual repayment in all states of nature. However, given that the BC model is concerned with imperfect enforcement of financial claims, the penalty function should be regarded as a measure of the (exogenous) limitations to enforcement. Moreover, in view of the fact that the underlying problem is to make credit available to the poor, the advice to use harsh punishments to ensure repayment seems to be of limited practical significance.
There is some empirical evidence that is supportive of the model and its basic mechanisms. First, the performance of different lending types in the BC model depends on how well they cope with the problem of limited enforcement of financial claims. That such enforcement problems are prevalent in countries where microfinance is used extensively is a well-documented fact. For instance, in Ahlin et al.’s (2011) sample of 373 MFIs from 74 countries, the mean time required to enforce a contract (taken from the World Bank’s Doing Business database) is 645 calendar days. Second, the model predicts that social capital enhances repayments by fostering cooperative behaviour and making borrowers sensitive to social sanctions. Several variables have been proposed to proxy for the strength of social ties (i.e., associational social capital), for instance, geographical proximity and cultural homogeneity. Wydick (1999) and Karlan (2007), among others, confirm that the average distance between group members negatively affects repayment. Karlan (2007) also finds a positive role for cultural similarity, using a self-constructed cultural score. These findings have been corroborated by experimental evidence. For instance, in an experiment conducted in South Africa and Armenia, Cassar et al. (2007) find a strong positive impact of cultural homogeneity between group members on repayment performance. In Cassar et al. (2007) and Cassar and Wydick (2010), another variable that emerges as an important determinant of repayment rates from experiments with non-enforceable repayments is personal trust (measured by an index constructed from responses to questions from the General Social Survey, whether others in society are trustworthy, fair and helpful). Cassar and Wydick (2010: 728) find that trust raises repayment rates and argue that this is because ‘[G]eneral trust is important to cooperative play’. This is in line with our result that cooperation between group members improves the performance of GL. 3 Third, there is evidence of the exertion of non-pecuniary social sanctions (i.e., behavioural social capital). In Karlan’s (2007) study, dropping out of a group with rather than without default makes it 3–6 times as likely that current members report a worsening of friendship, trust and willingness to engage in future sales or purchase transactions. Carpenter and Williams (2010) conduct an experiment among micro borrowers in Paraguay. They find that individuals incur costs of monitoring and sending negative messages in the experiment and that observed repayment problems are less severe in groups whose members are more ‘nosy’ in the experiment. A further noteworthy fact is reported by Bratton (1986) in his descriptive analysis of repayments on group loans and individual loans in credit schemes in Zimbabwe in the early 1980s: The repayment rate was substantially higher with GL than with IL in good times, but worse after the disastrous drought of 1982–1983. This is consistent with the BC model, in which the disadvantage of GL stems from the fact that GL discourages a borrower from repaying anything when she would have repaid a single loan. Finally, Ahlin and Townsend’s (2007: F42) comparative analysis of different models of GL using the Thai BAAC provides partially favourable results for the BC model: ‘the Besley and Coate model of social sanctions that prevent strategic default performs remarkably well, especially in the low-infrastructure northeast region’. The piece of evidence that is most detrimental to the BC model stems from Giné and Karlan’s (2008) study of the Green Bank in the Philippines, where the conversion of half of their GL centres in Leyte (randomly selected) to IL had no effect on repayment rates. 4 An objection to this result is that studies based on data from different locations (e.g., Ahlin and Townsend 2007; Cassar and Wydick 2010) show that effects on repayment are not uniform across locations and contexts, so that it remains to be seen whether the type of liability turns out to be inessential in other places as well.
The article is organised as follows. The second section describes the model. In the third section, we recapitulate BC’s main results. The fourth section characterises the model equilibrium. The fifth section introduces cooperative behaviour and social sanctions. The last section concludes. Details of the algebra are delegated to Appendices 1 and 2.
Model
This section describes the model. We focus on the model with independently and uniformly distributed pay-offs, with proportional, non-pecuniary penalties for default, and, for now, with non-cooperative behaviour in the repayment game and without social sanctions. Since the BC model is well known, the exposition is kept brief. The additional assumptions made in our equilibrium analysis are highlighted as Assumptions 1–3.
Risk-neutral borrowers without internal funds and without collateral are endowed with one project each. The project requires an input of one unit of capital. The pay-offs θ are independently and uniformly distributed on the interval
The cumulative distribution function is denoted by
The penalty function p(θ) can be regarded as a measure of the limitations on the enforcement of repayments.
There is a tension between the implicit assumptions that borrowers have a second source of income besides project returns that enables them to repay but does not affect the severity of the penalty. A sensible interpretation, given that this is a theory of availability of credit to the poor, is that a borrower could mobilise enough money to repay by selling her belongings, but the MFI does not expect her to do this even in the case of strategic default and so does not condition the penalty on the value of her belongings. This also explains why the borrower’s belongings are not used as collateral in the first place. 6 As explained in the Introduction, the assumptions that a borrower is fully liable for the group loan if her peer group member decides not to contribute to the repayment and that the penalty is an increasing function of the project pay-off are crucial to the results. A brief discussion of optimal penalty schemes is in ‘Equilibrium’ section and in Appendix 2.
BC assume that the penalty consists of ‘two components’, ‘a monetary loss due to seizure of income or assets’ and ‘a non-pecuniary cost resulting from being “hassled” by the bank, from loss of reputation, and so forth’ (p. 4). Their focus on repayment rates makes an assumption as to the relative magnitudes of the two components dispensable. In the working paper version of this article, we assume that each of the two components is a constant proportion of the penalty. Here, for simplicity, we make the following assumption (as in Rai and Sjöström 2004: 220):
The two borrowers in a group (i = 1, 2, say) play a non-cooperative two-stage repayment game. At stage 1, the strategies are: contribute ρ to the joint repayment 2ρ or not. If both choose to contribute, the pay-offs are θ – ρ, where θ is i’s realisation of θ (i = 1, 2). If both choose not to contribute, the pay-offs are θ – p(θ) (i = 1, 2). If borrower i chooses to contribute and j (≠ i) does not, i decides, at stage 2, whether she repays 2ρ alone or not. If she repays, she gets θ – 2ρ and j gets θj. If not, the pay-offs are θ – p(θ) (i = 1, 2). To close the model from the supply side in the simplest possible fashion, we assume that the investors’ supply of funds to the MFIs is perfectly elastic. That is, the MFIs’ cost of capital is exogenously given. An alternative interpretation is that we consider a lending scheme run by a non-profit development finance institution that can do with an average repayment ρ that falls short of the market return. It is straightforward to consider imperfectly elastic capital supply instead, and we will briefly come back to this issue in our discussion of credit rationing. Due to perfect competition between MFIs, the equilibrium contract maximises expected borrower utility: This is also a natural objective for an MFI funded by a development finance institution.
Repayment Rates
In this section, we briefly recapitulate BC’s comparison of repayment rates with IL and GL in the absence of social sanctions.
With IL, borrower i defaults if, and only if, (θ) = θ/β< ρ, that is, θ< β. So the repayment rate (the probability of repayment) is
for
Turning to GL, for pay-offs below β, a borrower prefers the penalty over repayment. For θ no less than β but below 2β, borrower i is willing to repay an individual loan but not a group loan. For θ ≥ 2β, the borrower prefers to repay two loans over default. If
when considering GL. BC (p. 17) characterise the subgame-perfect Nash equilibria (SPNE) of the repayment game. Six cases have to be distinguished (see Figure 1):

When both borrowers’ pay-offs fall short of β, then the group defaults.
When both borrowers’ pay-offs are not less than β but insufficient to induce them to repay two loans (i.e., less than 2β), both borrowers choosing to contribute is an equilibrium. Both borrowers deciding not to contribute is also an SPNE, which is however ruled out by BC (p. 7) on the grounds that it is Pareto-inferior. An alternative way to get rid of this ‘bad’ equilibrium is elimination of weakly dominated strategies (cf. Fudenberg and Tirole 2000, Subsection 1.1.2): The strategy not to contribute at stage 1 is weakly dominated by the strategy to contribute.
When each borrower is willing to repay two loans, one borrower repays 2ρ and the other free-rides. 8
When one borrower is willing to repay one loan but not two loans and the other borrower is willing to repay two loans, the former free-rides and the latter repays both loans.
In all these cases, the repayment per loan received by the MFI is the same as with IL.
When one borrower is willing to repay one loan but not two (i.e., her pay-off is no less than β but less than 2β) and the other borrower’s pay-off falls short of β, then the group defaults. This is the drawback of GL: joint liability discourages a borrower who would repay an individual loan from repaying anything at all.
When one borrower’s pay-off is no less than 2β and the other borrower’s pay-off falls short of β, the high-return borrower stands in for her fellow group member. This is the advantage of GL.
The repayment rate is the cumulated probability of cases (2)–(4) and (6):
Comparing the repayment rates in (3) and (5) yields BC’s (p. 8) main result:
Then
and vice versa. (ii) if
Here and in what follows, we illustrate our results using a simple example 9 :
Equilibrium
This section characterises the model equilibrium. We show that the scope for GL is more restricted than a comparison of repayment rates suggests: For a wide range of model parameters, IL is the equilibrium mode of finance, even though GL gives rise to a higher repayment rate at the break-even interest rate. We also demonstrate that the equilibrium possibly displays financial fragility, redlining (if there are multiple borrower classes) or credit rationing (if capital supply is imperfectly elastic).
Expected Repayments
From (3), the expected repayment per loan made with IL is
for
for
(cf. Figure 2). (ii) For
For future reference, denote the common value of RI(r) and RG(r) at
Further, denote the lowest interest rate that breaks even with IL (i.e., the smallest solution to RI(r) = ρ) as rI (if it exists, i.e., if
Analogously, rG is the lowest break-even interest rate with GL: RG(rG)

Expected Utility and Equilibrium
All borrowers demand loans at any interest rate. For IL, this is because the cost of a loan (i.e., either the interest repayment or the penalty) is less than the pay-off in every state of nature: min{θ/β, ρ} < θ. The same holds true for GL: In none of the cases (1)–(6) discussed in the previous section does a borrower i repay an amount that exceeds θ. In order to determine borrowers’ expected utility, we have to make an assumption about the probability of being the borrower who repays or the free rider in case (3). The natural assumption is that each borrower has an equal chance of being the free rider:
For ρ such that (4) holds, borrowers’ expected utility is
with IL and, given Assumption 4,
with GL (see Appendix 1).
According to Assumption 3, MFIs maximise borrowers’ expected utility subject to their break-even constraint. So an equilibrium of the model consists of a lending type (IL or GL) and an interest rate such that
the expected return on lending is ρ and there is no other lending type–interest rate pair that yields a higher expected return and at least as high a level of borrowers’ expected utility.
If we interpret MFIs as for-profits, this is the natural notion of equilibrium for a competitive market: There are no unexploited profit opportunities for profit-seeking lenders. If, by contrast, we think of a market that is dominated by not-for-profits, then equilibrium entails that the lenders put the money under their management to its best use: they cannot economise on their lending without worsening their borrowers’ position. 11 For the sake of simplicity, we assume that GL is chosen when both types of lending yield the same level of expected borrower utility.
The following proposition states the obvious fact that if it is possible to break even with IL but not with GL, then there is an equilibrium with IL.
Propositions 2 and 3 jointly provide one reason for the use of IL as the equilibrium mode of finance. From Proposition 2, the maximum return on lending is higher with IL than with GL. Therefore, if the cost of capital is high enough, GL does not break even and IL is used in equilibrium (Proposition 3).
When is GL Used in Equilibrium?
In this subsection, we address the more interesting question of which type of lending survives competition if GL can also break even, so that it cannot be ruled out as the equilibrium lending type on a priori grounds. From the definition of equilibrium, the choice of the equilibrium mode of finance then depends on expected borrower utilities. The following result provides a constructive approach to finding equilibria in that case: all one has to do is compare expected borrower utility (or, equivalently, the deadweight losses induced by the different lending types) at the minimum break-even interest rates.
where use is made of
In Appendix 1, we show that the arguments go through without modification when ρ is not in the interval in (4).
We are now in a position to prove our first main result: GL may not be used in equilibrium, even though it breaks even at a lower interest rate and leads to the higher repayment rate at the break-even interest rate than IL. This will happen if the cost of capital ρ is less than, but sufficiently close to,
and
(see Appendix 1). From (12) and (13), the expected penalty is strictly higher with GL than with IL at
and a similar equation for GL.
13
From RI (rI) = RG(rG) = ρ and DG(rG) > DI(rI), it follows that UI(rI) > UG(rG). From Proposition 4, IL is used in equilibrium, even though rG ≤ rI (since
Proposition 5 states that large deadweight losses potentially discourage the use of GL in equilibrium even if it looks favourable in terms of repayment rates. This is a straightforward consequence of the basic model mechanisms, viz., the assumptions that a borrower is fully liable for the group loan if her peer group member decides not to contribute and that the penalty is an increasing function of the project pay-off. To see this, recall that the reason why GL is not unambiguously preferable to IL is that GL discourages the high-θ borrower from repaying in case (5). The expected penalty on the high-θ borrower, conditional on the occurrence of case (5), is
that is, one-and-a-half times the contractual interest payment. 14 With IL, by contrast, the penalty θ/β is always less than ρ, since the borrower repays whenever θ/β ≥ ρ. Thus, the penalties under GL can be substantial if they are exerted. 15
To check whether the result that IL is used for a sizeable proportion of values of the cost of capital that imply rG < rI is robust, we investigate a wide array of parameter values. We consider 11 different values for each of the parameters β ∈ {1.01, 1.2, 1.4, … , 2.8, 3}
(with the cost of capital ρ yet to be specified). Of the resulting 1,331 parameter combinations, we pick those which satisfy (1), (2) and
as the proportion of ρ-values which give rise to IL in equilibrium conditional on GL having the lower break-even interest rate for a given set of parameters
Market Failure and Optimal Contracts
The market equilibrium possibly displays the types of market failure discussed in the theory of asymmetric information in credit markets. This is a direct consequence of the hump shape of the expected repayment functions (cf. Figure 2). First, there is financial fragility in that a small change in a model parameter can lead to a discontinuous change in the equilibrium values of the endogenous variables: When ρ rises above
Since the maximum expected repayment
The definition of equilibrium entails that MFIs use the best (IL or GL) contract in terms of borrowers’ expected utility given the penalty function p(θ). Whether or not this is an optimal contract depends on whether or not the penalty function p(θ) is considered exogenous or not. If it is not, that is, if p(θ) can be chosen freely by the MFIs, then p(θ) = θ/β in conjunction with full liability for one’s peer group member’s loan is evidently not optimal: Given symmetric information, the first-best solution (no default, no penalties in equilibrium) can easily be achieved by means of the threat of sufficiently severe penalties which will not be implemented in equilibrium. For instance, ρ = ρ and p(θ) = 2ρ will do. Appendix 2 provides further discussion of the issue of optimal contracts (cf. Rai and Sjöström 2004; Bhole and Ogden 2010). However, it can be argued that assuming that p(θ) can be chosen freely eliminates the substance of the model. The model is about making loans in an environment with imperfect enforcement of financial claims. So the penalty function p(θ) should be considered as a measure of the prevailing difficulties of enforcing contractual payments, and if p(θ) can be chosen freely, the problem vanishes altogether. Moreover, in view of the fact that the underlying problem is to make credit available to the poor, the advice that enforcement can be improved by means of harsh punishments seems to be of limited practical significance.
Social Capital
The analysis so far lends support to the widely held view that the scope for GL is rather limited if the sole characteristic of GL is joint liability. However, as emphasised by Armendáriz de Aghion and Morduch (2000), among others, there are other dimensions to GL contracts. In this section, we introduce additional enforcement mechanisms to the model that rely on the use of social capital. We show that this not only improves expected repayments with GL but does so in a way that promotes the use of GL rather than IL in equilibrium.
Cooperative Behaviour
In this subsection, following Ahlin and Townsend (2007, Subsection 1.3.2), we assume that borrowers play the repayment game cooperatively rather than non-cooperatively:
Using p(θ) = θ/β, it follows that the members of a group repay whenever θ1 + θ2 ≥ 2β. Equal expected utilities could be achieved, for example, by sharing θ1 + θ2 – min{2ρ, (θ1 + θ2)/β} equally for all possible realisations (θ1, θ2).
In terms of Figure 3, the two members of a group repay for (θ1, θ2) on and above the line with slope –1 through (β, β). As in the non-cooperative repayment game, the members of a group repay nothing in case (1) and 2ρ in cases (2)–(4) and (6). Cooperation is conducive to the repayment rate under GL because in the fields corresponding to case (5) in Figure 3, they default only in the area below the line θ1 + θ2 = 2β. One can infer from Figure 3 that the repayment rate with GL is higher than with IL: The repayments with GL or IL are the same in cases (1)–(4). With GL, both group members repay in field (5) above the line θ1 + θ2 = 2β and in field (6), whereas both default in field (5) below the line θ1 + θ2 = 2β. With IL, by contrast, one of the two borrowers repays in cases (5) and (6). Since the area of the non-shaded portion of field (5) with GL is less than half the total area of fields (5) and (6), given the uniform distribution of (θ1, θ2), the repayment rate is higher with GL than with IL (cf. Ahlin and Townsend 2007, Proposition 8, p. F24).

The repayment rate is
for
For interest rates that satisfy (16), RC(r) has the familiar hump shape (see Appendix 1). The interest rate that maximises the expected repayment is denoted as
for ρ such that (16) holds (see Appendix 1). The following proposition states that cooperation among the members of a borrower group is sufficient in order to turn GL into the equilibrium type of finance:
The deadweight loss with GL DC(r) satisfies
For ρ = rC, this becomes E(θ) – DC(rC) = UC(rC) + ρ. To achieve RC(r) > ρ and UC(r) ≥ UC(rC) with GL at ρ ≠ rC, the deadweight loss must be smaller:
However, since rC is the minimum break-even interest rate, RC(r) > ρ requires ρ > rC. Since
a contradiction. So there is no profitable GL contract that attracts borrowers.
Similarly, from (14) and (18), an IL contract with RI(r) > ρ and UI(r) ≥ UC(rC) must satisfy
and, as rI is the minimum break-even interest rate, ρ > rI. Without loss of generality, we can assume
a contradiction. A different argument is needed to prove the assertion of the proposition when
The proof goes through without modification when we allow for
The market equilibrium is potentially characterised by the market failures discussed in the preceding section. This follows immediately from the fact that the expected repayment function RC(r) has the familiar hump shape, so that borrowers cease to get funds when ρ rises beyond

Social Sanctions
Following BC (Section 4), we next introduce social sanctions to the model of the ‘Model’ section (returning to the assumption of non-cooperative behaviour in the repayment game). BC’s main result in this regard is that if social sanctions are severe enough, GL yields a higher repayment rate than IL (BC, Proposition 3, p. 12). We show that, like cooperative behaviour among group members, social sanctions also make GL the equilibrium type of finance and ameliorate market failures.
We adopt the following simple specification of social sanctions:
The presence of the sanction strengthens the incentives to contribute in the repayment game. For the cases defined in the section ‘Repayment Rates’ (cf. Figures 1 and 3), the following SPNE arise ( Both borrowers choosing not to contribute is an SPNE. Due to the threat of penalties, both borrowers choosing to contribute is also an SPNE. As in the section ‘Repayment Rates’, the latter SPNE is ruled out on the grounds that it is Pareto-inferior.
19
Both borrowers choosing to contribute is an equilibrium. The other SPNE, in which both borrowers decide not to contribute, is ruled out on the grounds that it is Pareto-inferior. Contributing is a strictly dominant strategy at stage 1 for both borrowers. Neither tries to free-ride. Contributing is a strictly dominant strategy for the borrower i with θ ≥ 2β and a weakly dominant strategy for the other borrower. The unique SPNE entails repayment. This is the critical case for GL. Borrower 1, say, has a pay-off θ1 in the interval (β, 2β), borrower 2’s pay-off falls short of β. Contributing is a weakly dominant strategy for both borrowers at stage 1 (see Figure 5): if borrower 2 chooses not to contribute at stage 1 and borrower 1 decides to contribute, borrower 2 knows that borrower 1 will choose default at stage 2. Given Assumption 6, the social sanction s imposed on her weighs more heavily than the interest payment ρ (and the penalty θ1/β strengthens the case for repayment). So repayment becomes an SPNE. Both borrowers choosing not to contribute is also an SPNE, which can be ruled out using elimination of weakly dominated strategies, however (the Pareto criterion is inconclusive here).
The unique SPNE entails that both borrowers contribute.

GL with social sanctions fares unambiguously better than GL with cooperative behaviour in terms of repayment rates. Repayment occurs except in case (1), so the non-shaded default area in Figure 3 shrinks. This confirms Ahlin and Townsend’s (2007, Proposition 8, p. F24) finding that sufficiently severe social sanctions (‘unofficial penalties’) can enforce a higher repayment rate than cooperation. GL with social sanctions also dominates IL. Again, this follows from the fact that it reduces the default area to field (1) (whereas one of the two borrowers in a group defaults in the fields labeled (5) and (6) with IL, cf. Figure 1). We show in the following that this implies that lenders use GL, rather than IL, in equilibrium. The fact that GL with social sanctions dominates cooperation and IL is due to the fact that social sanctions are not carried out in equilibrium, so they do not cause any deadweight losses in addition to the penalties imposed by lenders.
The repayment rate becomes
for
(see Appendix 1). Increases in the interest rate raise the deadweight loss:
RS(r) > ρ and US(r) ≥ US(rS) for ρ ≠ rS requires
However, DS(r) > DS(rS), since rS is the minimum break-even interest rate (so that ρ > rS) and
Similarly, an IL contract that yields RI(r) > ρ and UI(r) ≥ US(rS) must satisfy
However, r > rI > rS, since rI is the minimum break-even interest rate with IL, RI(r) > ρ, and RI(r) < RS(r) for
a contradiction. Hence, it is not possible to enter the market with either an alternative GL or an IL contract.
To complete the proof, we have to show that the borrowers demand funds at interest rates up to
The conclusions are similar as in the model with cooperative behaviour in the repayment game. Adding a form of social capital that fosters repayment with GL is sufficient to ensure that GL is used in equilibrium. Social sanctions do not eliminate, but do ameliorate, financial fragility, redlining and credit rationing.

Conclusion
Without cooperative behaviour or social sanctions, there is even less scope for GL as the equilibrium mode of finance in the BC model than a comparison of repayment rates suggests. This supports the widely held view that joint liability alone is not sufficient to explain the apparent success of GL. GL is used in equilibrium and effectively helps reduce deadweight losses if borrowers play cooperatively or discipline each other by means of social sanctions. This underlines the important role of enforcement mechanisms beyond joint liability that rely on some form of social capital for the effectiveness of GL.
The increasing commercialisation of microfinance calls for equilibrium models of microfinance markets. The aim of the present article is to go one step in this direction by conducting an equilibrium analysis of one of the most prominent microfinance models. An important direction for future research is to embed partial equilibrium models of microfinance markets into general equilibrium models, in which MFIs compete for loanable funds with financial institutions active in other financial markets and, more generally, in which different sectors compete for the economy’s scarce resources. Such models allow us to address the important question of whether and how microfinance can spur economic development. Recent research by Ahlin and Jiang (2008) highlights that we must not expect simple or general answers. They demonstrate that if entrepreneurs (whose activity is necessary for full-scale development) compete for workers with self-employment opportunities, microfinance programmes that successfully draw workers from subsistence work to self-employment may at the same time prevent full-scale economic development. Much more work is needed to clarify the issue of how microfinance programmes have to be designed in order to initiate and sustain development processes. Another interesting direction of future research would be to replace the (non-pecuniary) penalties with the threat of exclusion from future credit as in Bhole and Ogden (2010).
Leaving the confines of the model, an important question with regard to microfinance’s move towards markets is whether the enforcement of repayment via cooperation or social sanctions works equally well irrespective of the type of the lending institutions active in the supply of microcredit. Is borrowers’ decision to impose sanctions on each other independent of whether they default on a loan refinanced by a non-profit development finance institution or by the microfinance arm of an international commercial bank? Starting with Titmuss’s (1970) study of blood donations, it has become clear that market mechanisms potentially crowd out contributions motivated by non-pecuniary objectives (for a recent reassessment, see Mellström and Johannesson 2008). 21 If the move towards markets crowds out the social capital that is essential in order to make GL work, commercial banks’ choice is the one described in the section ‘Equilibrium’: As stipulated by Cull et al. (2009: 189), profit-seeking MFIs entering the microfinance market ‘are more likely… to involve an individual lending method’. But this might merely reflect their inability to exploit the advantages of GL offered by an efficient use of social capital.
Footnotes
Details of Proofs
Proof that RG(r) takes on a maximum between
The expected repayment function in (8) satisfies
where the latter inequality follows from (1). As RG(r) intersects the origin with positive slope, it follows that it takes on a local maximum at some
With IL, default occurs if, and only if,
With GL, from Figure 1, default occurs if either
Performing the integrations and simplifying terms yield (11).
Differentiating (11) gives
The roots of the polynomial on the left-hand side are
The discriminant is positive, so ρ1/2 are real. Let ρ1 be the smaller root.
This contradicts (1), so
The right-hand side of this inequality equals 4.7749 for
For
Interest rates above
Proposition 3 hinges upon the fact that if
Proposition 4 makes use of the fact that expected borrower utility is a decreasing function of the interest rate. We have to show that this holds true for
for
the expected repayment function is continuous. Furthermore,
Expected borrower utility becomes
for
The expression for DG(r) in (13) is obtained by performing the integrations in
and rearranging terms.
The inequality holds true for
The roots of the quadratic equation on the left-hand side are 3/2 and 3, so it takes on positive values for all
Differentiating the expression for RC(r) in (15) yields
So
and
As RC(r) is a third-order polynomial with negative leading coefficient, it follows that it is hump-shaped over the interval
The roots of the quadratic equation on the left-hand side are
From Figure 3, the sum of the deadweight losses DC(r) of the two borrowers in a group is
Performing the integrations and simplifying terms yield (17).
Differentiating (17) gives
for
Let ∆(r) ¼ DI(r) – DC(r). We have to show that ∆ (r) ≥ 0 for
The polynomial on the right-hand side has a local minimum at ρ = 0, a root at
is sufficient for ∆ (r) ≥ 0 for ρ in the interval
Denote the largest root of ∆(r) = 0 as
remains valid. So we can focus on the case
We will show that this contradicts
This proves that it is not profitable to enter the market with an IL contract.
Rewrite D(r) as
The largest root of D(r) = 0 is equal to the larger root of the quadratic term in brackets:
From
Using (15), the inequality
Substituting
The left-hand side of this inequality is positive for
Similarly as in the case of Proposition 4, we have to show that with GL and
Using (15), we have
so the expected repayment function with GL is continuous. Differentiating
The roots of the quadratic equation on the right-hand side are
The deadweight loss is
for
It increases as the interest rate rises:
for all
From (19),
so
The formula for the deadweight loss in the model with social sanctions is obtained from
Differentiating DS(r) gives
The derivative is positive if
The roots of the quadratic term on the left-hand side are
Inserting the definitions of DS(r) and DI(r) into DS(r) ≤ DI(r) and rearranging terms yield the equivalent condition
So
and
so that
of US(r) vanishes at
where
There is a unique
This function can be rewritten as
f (r) = 0 for
The smaller value ρ1 is negative, so the larger value ρ2 is the unique ρ in the interval
Comparing
Optimal Contracts
As mentioned in the main text, given symmetric information, the first-best solution can be achieved by means of the threat of sufficiently severe penalties, for example, with ρ = ρ and ρ(θ) = 2ρ. First-best can also be achieved under less restrictive assumptions: We can give up the assumptions that (a) borrowers have a second source of income that enables them to always repay irrespective of project returns and that (b) repayment is an all-or-nothing decision, and we can (c) replace symmetric information with the possibility of using cross reports.
(a) Given that θ is observable by borrowers and lenders alike, one can specify a state-contingent repayment function ρ(θ) and a penalty function p(θ) such that MFIs break even and ρ(θ) ≤ θ for all θ. That is, the unlimited liability assumption (i.e., the assumption that repayment may exceed project pay-off) is dispensable. As an example, let
and p(θ) = 2ρ(θ). MFIs break even: E[ρ(θ)] = ρ. Since ρ(θ) ≤ p(θ), repaying ρ(θ) is incentive-compatible. Since ρ(θ) ≤ θ, the repayment scheme is consistent with limited liability. (b) The assumption that repayment is an all-or-nothing decision is also inessential to the achievement of the first-best solution. To see this, let borrowers choose a repayment β (0 ≤ β ≤ θ), let ρ(θ) be defined as above and let the penalty be given by
Repaying β = ρ(θ) is incentive-compatible: for all θ, we have ρ(θ) ≤ β + p(θ, b) for all β. (c) The first-best solution can still be achieved even if MFIs cannot observe project outcomes if MFIs can make use of cross reporting and borrowers cannot make enforceable side contracts (cf. Rai and Sjöström 2004, Proposition A1, 230; Rai and Sjöström 2010: 13). For the sake of simplicity, we return to the assumption that borrowers can always repay. The interest rate is ρ = ρ. There are groups of two borrowers (i = 1, 2); i’s strategy is (bi, mi), where bi is her repayment and mi is a message interpreted as what she says j (≠ i) should repay. The penalty on each borrower is 0 if β1 = m2 and β2 = m1 and 2ρ otherwise. Due to the absence of side contracts, borrowers play the repayment-message game non-cooperatively. For any realisation (θ1, θ2), if both i play (bi, mi) = (ρ, ρ), a Nash equilibrium prevails. The pay-offs are θi – r, whereas any deviating strategy yields θ – 2ρ.
The interesting case from the mechanism design point of view is asymmetric information and limited (but enforceable) side contracting (cf. Rai and Sjöström 2004; Bhole and Ogden 2010). When (a) liability is limited to project pay-offs, (b) repayment is not an all-or-nothing decision and (c) MFIs cannot observe project outcomes, it follows from Diamond (1984, Proposition 1, 397) that the second-best IL contract specifies the (non-pecuniary) penalty function as p(β) = max{ρ – β, 0}, where ρ is the solution to
and β is the repayment chosen by the borrower (use is made of the assumption that θ is uniformly distributed). With no restrictions on side contracts (ex-ante side contracting), this second-best outcome can also be realised with joint liability (cf. Rai and Sjöström 2004, Proposition 1, 223): Let ρ be defined as above, and let i’s strategy be her repayment bi. There is joint liability in that the penalty pi(β1, β2) = max{ρ – (β1 + β2)/2, 0} for i depends both on her own and peer group member’s repayment. The (enforceable) side contract stipulates that project pay-offs are pooled and shared equally by the two members of a group and that both repay min{ρ, (θ1 + θ2)/2}. This leads to the same pay-offs as in the above second-best situation. When side contracting is restricted to take place after the project pay-offs are realised (‘interim side contracting’), achieving the second-best pay-offs necessitates cross reporting (Rai and Sjöström 2004, Proposition 5, 229).
Bhole and Ogden (2010, Propositions 4 and 5, 353–54) analyse the second-best GL contract assuming that exclusion from future credit is the only feasible penalty. They show that with no side contracts GL is the equilibrium type of finance, as it yields higher borrower utility than IL. Interestingly, the repayment by a borrower whose peer group member defaults is only slightly higher than the contractual repayment on her own loan. This result runs counter to BC’s assumption that borrowers are held liable for the full group loan when their peer group member decides not to contribute to the repayment of 2ρ.
