This paper studies the relationship between interest group political influence and allocation of decisionmaking power in a potentially divided government. We consider a simple endogenous policy model in which a legislator is in charge of setting the levels of two different policy instruments - a...

In this note, a class of nonlinear dynamic models under rational expectations is studied. A particular solution is found using a model reference adaptive technique via an extended Kalman filtering algorithm, for which initial conditions knowledge only is required.

<!--Début du contenu @xml:lang="en"-->?Recent research in industrial organization has emphasized the strategic value of incomplete contracts in vertical inter-firm relationships. This paper offers a screening rationale for contractual incompleteness in a class of producer-retailer economies when countervailing incentives arise. By...

We estimate the relative contribution of recursive preferences versus adaptive learning in accounting for the tail thickness of price–dividends/rents ratios. We find that both of these sources of volatility account for volatility in liquid (stocks) but not illiquid (housing) assets.

Methodologies for analyzing the forces that move and shape national economies have advanced markedly in the last thirty years, enabling economists as never before to unite theoretical and empirical research and align measurement with theory. In <i>Structural Macroeconometrics</i>, David DeJong and...

We explore the implications of “nosy” preferences—when individuals have rankings over the specific actions of others—using recent theoretical results in the behavioral economics literature. Our model jointly captures preference interdependence over utilities (benevolence) and actions...

A foundational paradox in social choice theory is that liberalism (freedom of action) and Pareto efficiency, the standard in evaluating economic outcomes, can conflict with each other (Sen 1970). We capture this tension in a series of sequential Battle of the Sexes game experiments. We find that...

We examine the role of generalized constant gain stochastic gradient (SGCG) learning in generating large deviations of an endogenous variable from its rational expectations value. We show analytically that these large deviations can occur with a frequency associated with a fat tailed...