This article develops a threshold panel data nonlinearity test for poverty traps. The new testing strategy extends the work on nonlinearity tests for panel data by considering threshold nonlinearities in the fixed-effects components. Monte Carlo simulations are conducted to evaluate the...

This paper develops a model for optimal portfolio allocation for an investor with quantile preferences, i.e., who maximizes the τ-quantile of the portfolio return, for τ ∈ (0,1). Quantile preferences allow to study heterogeneity in individuals' portfolio choice by varying the quantiles, and...

This paper proposes an empirical asset pricing test based on the homogeneity of the factor risk premia across risky assets. Factor loadings are considered to be dynamic and estimated from data at higher frequencies. The factor risk premia are obtained as estimates from time series regressions...

This paper conducts a laboratory experiment to assess the optimal portfolio allocation under quantile preferences (QP) and compare the model's predictions with those of the expected utility theory using a mean-variance (MV) utility function. We estimate the risk aversion coefficients associated...

The elicitation of the elasticity of intertemporal substitution (EIS), discount factor, and risk attitude parameters is of central importance to economics, finances and public policy. This paper jointly elicits and estimates these parameters using experimental data. We employ a new model based...

This note shows that the Generalized Expected Discounted Utility (GEDU) model is not dynamically consistent and does not allow for a complete separation of the parameters characterizing risk aversion and the elasticity of intertemporal substitution (EIS). Therefore, the model is not convenient...

The elicitation of the elasticity of intertemporal substitution (EIS), discount factor, and risk attitude parameters in dynamic models is of central importance to economics, finance and public policy. This paper suggests an alternative method to jointly elicit and estimate these three parameters...