Democratic Policy Making with Real-Time Agenda Setting: Part 1

We examine democratic policy-making in a simple institution with real-time agenda setting. Individuals are recognized sequentially. Once recognized, an individual makes a proposal, which is immediately put to a vote. If a proposal passes, it supercedes all previously passed proposals. The policy that emerges from this process is implemented. For some familiar classes of policy spaces with rich distributional politics, we show that the last proposer is effectively a dictator under a variety of natural conditions. Most notably, this occurs whenever a sufficient number of individuals have opportunities to make proposals. Thus, under reasonably general assumptions, control of the final proposal with real-time agenda setting confers as much power as control of the entire agenda.

Optimal contracting and the organization of knowledge

We study contractual arrangements that support an efficient use of time in a knowledge-intensive economy in which agents endogenously specialize in either production or consulting. The resulting market for advice is plagued by informational problems, since both the difficulty of the questions posed to consultants and the knowledge of those consultants are hard to assess. We show that spot contracting is not efficient since lemons (in this case, self-employed producers with intermediate knowledge) cannot be appropriately excluded from the market. However, an ex-ante, firm-like contractual arrangement uniquely delivers the first best. This arrangement involves hierarchies in which consultants are full residual claimants of output and compensate producers via incentive contracts. This simple characterization of the optimal ex-ante arrangement suggests a rationale for the organization of firms and the structure of compensation in knowledge-intensive sectors. Our findings correspond empirically to observed arrangements inside professional service firms and between venture capitalists and entrepreneurs

Relational knowledge transfers

An expert with general knowledge trains a cash-constrained novice. Faster training increases the novice’s productivity and his ability to compensate the expert; it also shrinks the stock of knowledge yet to be transferred, reducing the expert’s ability to retain the novice. The profit-maximizing agreement is a multi-period apprenticeship in which knowledge is transferred gradually over time. The expert adopts a "1/e rule" whereby, at the beginning of the relationship, the novice is trained just enough to produce a fraction 1/e of the efficient output. This rule causes inefficiently lengthy relationships that grow longer the more patient the players. We discuss policy interventions

On the origin of the family

We present a game theoretic model to explain why people form life long monogamous families. Three components are essential in our framework, paternal investment, fatherhood uncertainty, and, perhaps the most distinctive feature of all, the overlap of children of different ages. When all three conditions are present, monogamy is the most efficient form of sexual organization in the sense that it yields greater survivorship than serial monogamy, group marriage, and polygyny. Monogamy is also the only configuration that fosters altruistic ties among siblings. Finally, our result sheds light to the understanding of why most religions center around the monogamous fidelity family

Biology and the Arguments of Utility

Why did evolution not give us a utility function that is offspring alone? Why do we care intrinsically about other outcomes, such as food, and what determines the intensity of such preferences? A common view is that such other outcomes enhance fitness and the intensity of our preference for a given outcome is proportional to its contribution to fitness. We argue that this view is incomplete. Specifically, we show that in the presence of informational asymmetries, the evolutionarily most desirable preference for a given outcome is determined not only by the significance of the outcome, but by the Agent’s degree of ignorance regarding its significance. Our model also sheds light on the phenomena of peer effects and prepared learning, whereby some peer attitudes are more influential than others

Biology and the Arguments of Utility

Why did evolution not give us a utility function that is offspring alone? Why do we care intrinsically about other outcomes, food, for example, and what determines the intensity of such preferences? A common view is that such other outcomes enhance fitness and the intensity of our preference for a given outcome is proportional to its contribution to fitness. We argue that this view is inaccurate. Specifically, we show that in the presence of informational imperfections, the evolved preference for a given outcome is determined by the individual’s degree of ignorance regarding its significance. Our model sheds light on imitation and prepared learning, whereby some peer attitudes are more influential than others. Testable implications of the model include systematically biased choices in modern times. Most notably, we apply the model to help explain the demographic transition