The estimation of utility‐consistent labor supply models by means of simulated scores
提出一种模拟得分方法，用于估计具有灵活偏好和非线性预算约束的静态劳动供给模型，处理优化误差和偏好异质性，并通过蒙特卡洛实验和实际数据比较不同估计方法的结果差异。
Abstract We consider a utility‐consistent static labor supply model with flexible preferences and a nonlinear and possibly non‐convex budget set. Stochastic error terms are introduced to represent optimization and reporting errors, stochastic preferences, and heterogeneity in wages. Coherency conditions on the parameters and the support of error distributions are imposed for all observations. The complexity of the model makes it impossible to write down the probability of participation. Hence we use simulation techniques in the estimation. We compare our approach with various simpler alternatives proposed in the literature. Both in Monte Carlo experiments and for real data the various estimation methods yield very different results. Copyright © 2008 John Wiley & Sons, Ltd.