In this paper we consider conditions under which the estimation of a log-linearized Euler equation for consumption yields consistent estimates of the preference parameters. When utility is isoelastic and a sample covering a long time period is available, consistent estimates are obtained from...

Non-tax legal rules regulating the workplace, the financial sector, real property, and many other areas affect the ability of governments to collect revenues and provide public goods. Yet tax-collection considerations rarely enter into economic analyses of non-tax legal rules. Usually,...

A wide range of empirical applications rely on linear approximations to dynamic Euler equations. Among the most notable of these is the large and growing literature on precautionary saving that examines how consumption growth and saving behavior are affected by uncertainty and prudence. Linear...

This paper studies the non-parametric identification of the discount factor and utility function in the class of dynamic discrete-continuous choice (DDCC) models. In contrast to the discrete-only model we show the discount factor is identified. Our results further highlight why Euler equation...

Rational expectations theory instructs empirical researchers to uncover the values of 'deep' structural parameters of preferences and technology rather than the parameters of decision rules that confound these structural parameters with those of forecasting equations. This paper reevaluates one...

The Euler equation model for investment with adjustment costs and variable capital utilization is estimated using aggregate US post-war data with econometric methods that are robust to weak instruments and exploit information in possible structural changes. Various alternative identification...

A large psychology literature argues that decision-makers' forecasts of their future circumstances appear overly influenced by their perception of the new information embedded in their current circumstances. We adopt the diagnostic expectations (DE) paradigm (Bordalo et al., 2018) to capture...