论文标题
对校准参数的敏感性
Sensitivity to Calibrated Parameters
论文作者
论文摘要
经济模型估计的一种常见方法是校准模型参数的子集，并在估计其余参数时保持固定。校准参数可能会基于模型影响结论，但估计时间通常会系统地研究对校准参数的敏感性。我提出了对校准参数的参数灵敏度和其他感兴趣的对象的简单且计算的低成本度量。在主要的经验应用中，我重新审视了Gourinchas和Parker（2002）中生命周期储蓄动机的分析，并表明某些估计值对校准敏感。
A common approach to estimation of economic models is to calibrate a sub-set of model parameters and keep them fixed when estimating the remaining parameters. Calibrated parameters likely affect conclusions based on the model but estimation time often makes a systematic investigation of the sensitivity to calibrated parameters infeasible. I propose a simple and computationally low-cost measure of the sensitivity of parameters and other objects of interest to the calibrated parameters. In the main empirical application, I revisit the analysis of life-cycle savings motives in Gourinchas and Parker (2002) and show that some estimates are sensitive to calibrations.
