Knowledge that Transforms

This paper computes the change in welfare associated with the introduction of incentives. We calculate by how much the welfare gains of increased output due to incentives outweigh workers' disutility from increased effort. We accomplish this by studying the use of incentives by a firm in the check-clearing industry. Using this firm's production records, we model and estimate the worker's dynamic effort decision problem. We find that the firm's incentive scheme has a large effect on productivity, raising it by 12% over the sample period for the average worker. Using our parameter estimates, we show that the cost of increased effort due to incentives is equal to the dollar value of a 5% rise in productivity. Welfare is measured as the output produced minus the cost of effort; hence, the net increase in the average worker's welfare due to the introduction of the firm's bonus plan is 7%. Under a first-best scheme, we find that the net increase in welfare is 9%.

We characterize optimal taxation of foreign capital and optimal sovereign debt policy in a small open economy where the government cannot commit to policy and seeks to insure a risk averse domestic constituency. The expected tax on capital is shown to vary with the state of the economy, generating cyclicality in investment and debt in an environment where the first best capital stock is a constant. The government's lack of commitment induces a negative correlation between investment and the stock of government debt, a "debt overhang'' effect. If the government discounts the future at a rate higher than the market, then capital oscillates indefinitely at a level strictly below the first best. Debt relief is never Pareto improving and cannot affect the long-run level of investment. Further, restricting the government to a balanced budget can eliminate the cyclical distortion of investment.

We study two-sided markets with a finite number of agents on each side, and with two-sided incomplete information. Agents are matched assortatively on the basis of costly signals. Asymmetries in signalling activity between the two sides of the market can be explained by asymmetries either in size or in heterogeneity. Our main results identify general conditions under which the potential increase in expected output due to assortative matching (relative to random matching) is offset by the costs of signalling. Finally, we examine the limit model with a continuum of agents and point out differences and similarities to the finite version. Technically, the paper is based on the elegant theory about stochastic order relations among differences of order statistics, pioneered by Barlow and Proschan in 1966 in the framework of reliability theory.

This paper studies a mechanism design model of financial intermediation. There are two informational frictions: agents receive unobservable shocks and can participate in markets by engaging in trades unobservable to intermediaries. Without regulations, intermediaries provide no risk sharing because of an externality arising from arbitrage opportunities. We identify a simple regulation --a liquidity requirement --that corrects such an externality by affecting the interest rate on the markets. We characterize the form of the optimal liquidity adequacy requirement for a general class of preferences. We show that whether markets underprovide or overprovide liquidity, and whether a liquidity cap or a liquidity floor should be used depends on the nature of the shocks that agents experience. Moreover, we prove that the optimal liquidity adequacy requirement implements a constrained efficient allocation subject to unobservable types and trades. We provide closed form solutions for the optimal liquidity requirement and welfare gains of imposing such requirements for two important special cases. In contrast with the existing literature, the necessity of regulation does not depend on exogenous incompleteness of markets for aggregate shocks.

We propose a model of costly decision making based on time-costs of deliberating current and future decisions. We model an individual decision-maker's thinking process as a thought-experiment that takes time, and lets the decision maker ‘think ahead’ about future decision problems in yet unrealized states of nature. By formulating an intertemporal, state-contingent, planning problem which may involve costly deliberation in every state of nature, and by letting the decision maker deliberate ahead of the realization of a state, we attempt to capture the basic observation that individuals generally do not think through a complete action plan. Instead, individuals prioritize their thinking and leave deliberations on less important decisions to the time or event when they arise.

In this paper, we address the issues of whether reductions in fertility increase human capital investments per child and whether twinning can identify the quantity—quality (Q-Q) trade-off. We show that estimates of the effects of twinning at higher parities on the outcomes of older children in prior studies do not identify family-size effects but are confounded by inter-child allocation effects because of the endowment deficit and close spacing of twins. However, examining the effects of twinning by birth order, net of the effects stemming from the endowment deficit of twins, can provide upper and lower bounds on the trade-off between the family size and average child quality. Our estimates, based on data from China, indicate that an extra child at parity one or at parity two, net of one component of birth-endowment effects associated with birth weight, significantly decreases the schooling progress, the expected college enrolment, grades in school and the assessed health of all children in the family. Despite the evident significant trade-off between number of children and child quality in China, the findings suggest that the contribution of the one-child policy in China to the development of its human capital was modest.

Proper scoring rules provide convenient and highly efficient tools for incentive-compatible elicitations of subjective beliefs. As traditionally used, however, they are valid only under expected value maximization. This paper shows how they can be generalized to modern (“non-expected utility”) theories of risk and ambiguity, yielding mutual benefits: users of scoring rules can benefit from the empirical realism of non-expected utility, and analysts of ambiguity attitudes can benefit from efficient measurements using proper scoring rules. An experiment demonstrates the feasibility of our generalization.

We study how barter exchanges should be conducted through a centralized mechanism in a dynamically evolving agent pool with time- and compatibility-based preferences. We derive the dynamically efficient two-way and multi-way exchange mechanisms that maximize total discounted exchange surplus. Recently several live-donor kidney exchange programmes were established to swap incompatible donors of end-stage kidney disease patients. Since kidney exchange can be modelled as a special instance of our more general model, dynamically efficient kidney exchange mechanisms are derived as corollaries. We make policy recommendations using simulations.

We model an organization as a two-agent hierarchy: an informed Decision Maker in charge of selecting projects and a (possibly) uninformed Implementer in charge of their execution. Both have intrinsic preferences over projects. This paper models the costs and benefits of divergence between their preferences, that is, dissent within the organization. Dissent is useful to (1) foster the use of objective (and sometimes private) information in decision making and (2) give credibility to the Decision Maker's choices. However, dissent comes at the cost of hurting the Implementer's intrinsic motivation, thereby impairing organizational efficiency. We show that dissent can be optimal, in particular, when information is useful and uncertainty is high. Moreover, dissent remains an optimal organizational form even when Implementers can choose their employer or when Decision Makers have real authority over hiring decisions.

Recent theoretical work has suggested a number of potentially important factors in causing incomplete pass-through of exchange rates to prices, including markup adjustment, local costs and barriers to price adjustment. We empirically analyse the determinants of incomplete pass-through in the coffee industry. The observed pass-through in this industry replicates key features of pass-through documented in aggregate data: prices respond sluggishly and incompletely to changes in costs. We use microdata on sales and prices to uncover the role of markup adjustment, local costs and barriers to price adjustment in determining incomplete pass-through using a structural oligopoly model that nests all three potential factors. The implied pricing model explains the main dynamic features of short and long-run pass-through. Local costs reduce long-run pass-through (after six quarters) by 59% relative to a Constant Elasticity of Substitution benchmark. Markup adjustment reduces pass-through by an additional 33%, where the extent of markup adjustment depends on the estimated “super-elasticity” of demand. The estimated menu costs are small (0.23% of revenue) and have a negligible effect on long-run pass-through but are quantitatively successful in explaining the delayed response of prices to costs. We find that delayed pass-through in the coffee industry occurs almost entirely at the wholesale rather than the retail level.