Leadership & Organizational Behavior

We examine the issue of executive compensation within an inter-temporal general equilibrium production context. Inter-temporal optimality places strong restrictions on the form of a representative manager's compensation contract, restrictions that appear to be incompatible with the fact that the bulk of many high-profile managers' compensation is in the form of various options and option-like rewards. We therefore measure the extent to which “options-like” convex contracts alone can induce the manager to adopt near-optimal investment and hiring decisions.

We examine whether securitization impacts renegotiation decisions of loan servicers, focusing on their decision to foreclose a delinquent loan. Conditional on a loan becoming seriously delinquent, we find a significantly lower foreclosure rate associated with bank-held loans when compared to similar securitized loans: across various specifications and origination vintages, the foreclosure rate of delinquent bankheld loans is 3% to 7% lower in absolute terms (13% to 32% in relative terms).

This article studies optimal mortgage design in a continuous-time setting with volatile and privately observable income, costly foreclosure, and a stochastic market interest rate. We show that the features of the optimal mortgage are consistent with an option adjustable-rate mortgage (option ARM). Under the optimal contract, the borrower is given discretion of how much to repay until his balance reaches a certain limit. The default rates and interest rate payment on the mortgage correlate positively with the market interest rate.

In this paper we describe the challenges of Bayesian computation in Finance. We show that empirical asset pricing leads to a nonlinear non-Gaussian state space model for the evolutions of asset returns and derivative prices. Bayesian methods extract latent state variables and estimate parameters by calculating the posterior distributions of interest. We describe the use of direct estimation methods such as Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods based on particle filtering (PF).

We develop a structural demand model that endogenously captures the effect of out-of-stocks on customer choice by simulating a time-varying set of available alternatives. Our estimation method uses store-level data on sales and partial information on product availability. Our model allows for flexible substitution patterns, which are based on utility maximization principles and can accommodate categorical and continuous product characteristics.

A certain number of corporations, probably an increasing number, go considerably beyond what is required of them legally in minimizing their environmental impact. They meet legal limits on environmental impacts and then go beyond these. This has been called "overcompliance," a descriptive, if not elegant, phrase designating going well beyond what is required by laws and regulations in force. Why do corporations overcomply, going beyond what is legally required of them?

We study the structure of optimal wedges and capital taxes in a dynamic Mirrlees economy with endogenous distribution of skills. Human capital is a private, stochastic state variable that drives the skill process of each individual. Building on the findings of the labor literature, we construct a tractable life-cycle model of human capital evolution with risky investment and stochastic depreciation.