We introduce a nonlinear infinite moving average as an alternative to the standard state-space policy function for solving nonlinear DSGE models. Perturbation of the nonlinear moving average policy function provides a direct mapping from a history of innovations to endogenous variables,...

In this paper we deal with the utility maximization problem with a general utility function. We derive a new approach in which we reduce the utility maximization problem with general utility to the study of a fully-coupled Forward-Backward Stochastic Differential Equation (FBSDE).

Households can rely on private savings or on public unemployment insurance to hedge against the risk of becoming unemployed. These hedging mechanisms are used differently across countries. In this paper, we use a life cycle model to study the effects of unemployment on the portfolio choice of...

This paper looks at the interrelationship between trade in goods and asset holdings, as brought forward by some contributions to the empirical literature in international economics. These contributions argue that single-equation gravity models suffer from an endogeneity bias, culminating in a...

In this paper we claim that distance alone is a poor proxy for international transport costs in empirical studies. We model a manufacturing and a transport sector and let the level of manufacturing exports determine the demand for transport services. Above a particular trade level, transport...

Unanimous voting as the fundamental procedural source of political legitimacy grants veto power to each individual. We present an axiomatic characterization of a class of bidding processes to spell out the underlying egalitarian values for collective projects of a productive state. At heart of...

Employers structure pay and employment relationships to mitigate agency problems. A large literature in economics documents how the resolution of these problems shapes personnel policies and labor markets. For the most part, the study of agency in employment relationships relies on highly...