Decision Making & Negotiations

Actions by individuals and households to reduce carbon-based energy consumption have the potential to change the picture of U.S. energy consumption and carbon dioxide emissions in the near term. To tap this potential, however, energy policies and programs need to replace outmoded assumptions about what drives human behavior; they must integrate insights from the behavioral and social sciences with those from engineering and economics. This integrated approach has thus far only occasionally been implemented.

People habitually use round prices as first offers in negotiations. We test whether the specificity with which a first offer is expressed has appreciable effects on first-offer recipients' perceptions and strategic choices. Studies 1a & b establish that first-offer recipients make greater counteroffer adjustments to round versus precise offers. Study 2 demonstrates this phenomenon in an interactive, strategic exchange.

We develop a liability driven investment framework that incorporates downside risk penalties for not meeting liabilities. The shortfall between the asset and liabilities can be valued as an option which swaps the value of the endogenously determined optimal portfolio for the value of the liabilities. The optimal portfolio selection exhibits endogenous risk aversion and as the funding ratio deviates from the fully funded case in both directions, effective risk aversion decreases.

The SEC is currently considering a rulemaking petition requesting that the Commission shorten the ten-day window, established by Section 13(d) of the Williams Act, within which investors must publicly disclose purchases of a 5% or greater stake in public companies. In this Article, we provide the first systematic empirical evidence on these disclosures and find that several of the petition's factual premises are not consistent with the evidence.

We introduce the pathwise optimization (PO) method, a new convex optimization procedure to produce upper and lower bounds on the optimal value (the “price”) of a high-dimensional optimal stopping problem. The PO method builds on a dual characterization of optimal stopping problems as optimization problems over the space of martingales, which we dub the martingale duality approach. We demonstrate via numerical experiments that the PO method produces upper bounds of a quality comparable with state-of-the-art approaches, but in a fraction of the time required for those approaches.

Over the course of a repeated game, players often exhibit learning in selecting their best response. Research in economics and marketing has identified two key types of learning rules: belief and reinforcement. It has been shown that players use either one of these learning rules or a combination of them, as in the Experience-Weighted Attraction (EWA) model. Accounting for such learning may help in understanding and predicting the outcomes of games.

The diagnosticity of feelings in judgment depends not only on their representativeness and relevance, but also on people's trust in their feelings in general. Trust in feelings is the degree to which individuals believe that their feelings generally point toward the "right" direction in judgments and decisions.

We develop an analytically-tractable model integrating the dynamic theory of investment with dynamic optimal incentive contracting, thereby endogenizing financing constraints. Incentive contracting generates a history-dependent wedge between marginal and average q, and both vary over time as good (bad) performance relaxes (tightens) financing constraints. Financial slack, not cash flow, is the appropriate proxy for financing constraints.