作者: Theodosios Dimopoulos , Stefano Sacchetto
DOI: 10.2139/SSRN.2625694
关键词:
摘要: We propose an importance-sampling procedure to improve the computational performance of simulated method moments (SMM) for estimation structural models with fixed parameter heterogeneity. The main advantage is that it does not require simulate observations every time parameters change during minimization SMM criterion function. illustrate use our by estimating a neoclassical model investment sample US manufacturing companies, allowing technological vary across firms.