A Modest Proposal for a Two‐Sided Market Clearing Institution under Asymmetric Supply Constraints with Skewed Pricing: The Market for Adoption and Abortion in the United States

This paper presents a theoretical model matching the potential supply of terminated pregnancies with the total demand for children within certain modeling constraints. First, the demand and supply of pregnancies should be studied within the theoretical framework of a market with economic incentives. Second, a theoretical model for the demand for abortion must incorporate the total market for children, which implies the market for pregnancy, abortion, and adoption. Third, there exist in the overall market for procreative goods and services certain unique characteristics that need to be carefully considered. Producers and suppliers within the procreative goods and services market have radically different price and cost elasticity functions and unique production asymmetries that create a potential net benefit for buyer and seller alike. The market for abortion and adoption, while seemingly related and similar, suffer from a fundamental disconnect, preventing a simple exchange of goods and services: abortion implies potential supply that does not flow to potential consumersthose seeking to adopt. Studying this market inefficiency will benefit from a two‐sided market analysis used in situations where an intermediary business must attract both producers and suppliers. There are two key findings. First, I find that the producer decision to supply the good depends primarily on exogenous preference formation and not on consumer‐provided incentives. Second, I find that the market would benefit from legal framework for a market clearing institution using the market for real estate as the blueprint.     

Super‐Majorites,One‐Dimensional Policies,and Social Surplus

In the setting of a one‐dimensional legislative bargaining game, we characterize qualified majority rules maximizing social surplus, that is, the sum of individual benefits. The simple majority rule maximizes social surplus when individual utilities are tent‐shaped. When the utilities are strictly concave, the surplus maximizing rule is a strict supermajority.     

Bid–Ask Price Competition with Asymmetric Information between Market-Makers

This paper studies the effect of asymmetric information on the price formation process in a quote-driven market. One market-maker receives private information on the value of the quoted asset and repeatedly competes with market-makers who are uninformed. We show that despite the fact that the informed market-maker's quotes are public, the market is never strong-form efficient with certainty until the last stage. We characterize a reputational equilibrium in which the informed market-maker influences and possibly misleads the uninformed market-makers' beliefs. At this equilibrium, a price leadership effect arises, the informed market-maker's expected pay-off is positive and the rate of price discovery increases in the last stages of trade.     

Repeated Elections with Asymmetric Information

An infinite sequence of elections with no term limits is modelled. In each period a challenger with privately known preferences is randomly drawn from the electorate to run against the incumbent, and the winner chooses a policy outcome in a one-dimensional issue space. One theorem is that there exists an equilibrium in which the median voter is decisive: an incumbent wins re-election if and only if his most recent policy choice gives the median voter a payoff at least as high as he would expect from a challenger. The equilibrium is symmetric, stationary, and the behavior of voters is consistent with both retrospective and prospective voting. A second theorem is that, in fact, it is the only equilibrium possessing the latter four conditions — decisiveness of the median voter is implied by them.     

Repeated Contests with Asymmetric Information

The same contestants often meet repeatedly in contests. Behavior in a contest potentially provides information with regard to one's type and can therefore influence the behavior of the opponents in later contests. This paper shows that if effort is observable, this can induce a ratchet effect in contests: high ability contestants sometimes put in little effort in an early round in order to make the opponents believe that they are of little ability. The effect reduces overall effort and increases equilibrium utility of the contestants when compared with two unrelated one-shot contests. It does, however, also introduce an allocative inefficiency since sometimes a contestant with a low valuation wins. The model assumes an imperfectly discriminating contest. In an extension I show that, qualitatively, results are similar in a perfectly discriminating contest (all pay auction).     

Status‐Seeking in Criminal Subcultures and the Double Dividend of Zero‐Tolerance

This paper offers a new argument for why a more aggressive enforcement of minor offenses (zero‐tolerance) may yield a double dividend in that it reduces both minor offenses and more severe crime. We develop a model of criminal subcultures in which people gain social status among their peers for being “tough” by committing criminal acts. As zero‐tolerance keeps relatively “gutless” people from committing a minor offense, the signaling value of that action increases, which makes it attractive for some people who would otherwise commit more severe crime. If social status is sufficiently important in criminal subcultures, zero‐tolerance reduces crime across the board.     

Regulating a Polluting Firm Under Asymmetric Information

This paper reinterprets the Laffont-Tirole model of regulation under asymmetric information to cover the case of pollution control. The asymmetry of information concerns the firm's cost of lowering its pollution. The regulator has three objectives: Ensuring an efficient abatement level, generating 'green taxes' and securing the survival of the firm. We show that when optimal abatement is important relative to tax generation, the regulator cannot use the policy of offering the firm a set of linear tax schemes from which to choose. By contrast, this policy is optimal in the Laffont-Tirole model under certain not very restrictive assumptions. We proceed to establish a simple rule for when to shut-down inefficient types. In an example with specific functional forms, we derive the optimal tax function both analytically and graphically. We show the effect on the optimal tax system of a change in a technological parameter.     

Asymmetric and Time‐Varying Causality between Inflation and Inflation Uncertainty in G‐7 Countries

We use Granger causality tests within a conditional Gaussian Markov switching vector autoregressive (MS‐VAR) model using monthly data for G‐7 countries covering the period 1959:12–2008:10 to examine the relationship between inflation and inflation‐uncertainty. The MS‐VAR model allows us to model parameter time‐variation so as to reflect changes in Granger causality, assuming that these changes are stochastic and governed by an unobservable Markov chain. Inflation uncertainty is measured as the conditional variance generated by a Fractionally Integrated Smooth Transition Autoregressive Moving Average‐Asymmetric Power ARCH (FISTARMA‐APARCH) model. The distinguishing feature of our approach from the previous studies is the determination of the sign of the Granger causality relationship between inflation and its uncertainty over time. First, using a rolling VAR model, we show that the relationship between inflation and inflation uncertainty is time varying with frequent breaks. Second, using the MS‐VAR model, we obtain strong evidence in favour of the Holland's ‘stabilizing Fed hypothesis’ for Canada, France, Germany, Japan, United Kingdom, and the United States. We also find evidence in favour of the Friedman hypothesis for Canada and the United States.     

A Model of Product Recalls with Asymmetric Information

This paper presents a model of involuntary product recall in which a firm has private information on its ability to produce safety. The ex post regulation of safety is motivated through a parametric imperfection in the product liability system which results in a firm under internalizing expected liability expenses. We treat the problem as one of mechanism design, where the regulator designs a recall procedure. This framework illuminates the point that recall is an interesting blend of ex ante and ex post regulation. We characterize a perfect recall procedure, contrast this with real world imperfect procedures, and study the interaction of the recall and the liability systems. Further, we analyze the interaction between optimal recall policy and product market structure.     

Equilibrium Partner Switching in a Bargaining Model With Asymmetric Information

We study a model in which the seller of an indivisible object faces two potential buyers and makes an offer to either of them in each period. We find that the seller's ability to extract surplus from them depends crucially on the value of the cost of switching from one buyer to the next. If the seller is pessimistic about the buyers' valuations and there is a switching cost, however small, then the market is a natural bilateral monopoly; the second buyer is never called on. If the switching cost is zero, or if the seller is optimistic, then switching, and possibly recall of the original buyer, may occur.     

Reinforcement-Based Adaptive Learning in Asymmetric Two-Person Bargaining with Incomplete Information

The sealed bidk-double auction is a mechanism used to structure bilateral bargaining under two-sided incomplete information. This mechanism is tested in two experiments in which subjects are asked to bargain repeatedly for 50 rounds with the same partner under conditions of information disparity favoring either the buyer (Condition BA) or seller (Condition SA). Qualitatively, the observed bid and offer functions are in agreement with the Bayesian linear equilibrium solution (LES) constructed by Chatterjee and Samuelson (1983). A trader favored by the information disparity, whether buyer or seller, receives a larger share of the realized gain from trade than the other trader. Comparison with previous results reported by Daniel, Seale, and Rapoport (1998), who used randomly matched rather than fixed pairs, shows that when reputation effects are present this advantage is significantly enhanced. A reinforcement-based learning model captures the major features of the offer and bid functions, accounting for most of the variability in the round-to-round individual decisions.