Search Results
Working Paper
Benchmarking Global Optimizers
We benchmark six global optimization algorithms by comparing their performance on challenging multidimensional test functions as well as on a method of simulated moments estimation of a panel data model of earnings dynamics. Five of the algorithms are from the popular NLopt open-source library: (i) Controlled Random Search with local mutation (CRS), (ii) Improved Stochastic Ranking Evolution Strategy (ISRES), (iii) Multi-Level Single-Linkage (MLSL), (iv) Stochastic Global Optimization (StoGo), and (v) Evolutionary Strategy with Cauchy distribution (ESCH). The sixth algorithm is TikTak, which ...
Working Paper
Saving the American Dream? Education Policies in Spatial General Equilibrium
Children's education and economic opportunities differ substantially across US neighborhoods. This paper develops and estimates a spatial equilibrium model that links children's education outcomes to their childhood location. Two endogenous factors determine education choices in each location: local education quality and local labor market access. We estimate the model with US county-level data and study the effects of a school funding equalization on education outcomes and social mobility. The reform's direct effects improve education outcomes among children from low-skill families. However, ...