4期

最新文章

• Core Inflation and Trend Inflation AI翻译
  作者：Stock, James H.; Watson, Mark W.
  作者单位：Harvard University; National Bureau of Economic Research; Princeton University
  摘要：This paper examines empirically whether the measurement of trend inflation can be improved by using disaggregated data on sectoral inflation to construct indexes akin to core inflation but with a time-varying distributed lags of weights, where the sectoral weight depends on the timevarying volatility and persistence of the sectoral inflation series and on the comovement among sectors. The modeling framework is a dynamic factor model with time-varying coefficients and stochastic volatility as i...
• Learning from the Test: Raising Selective College Enrollment by Providing Information AI翻译
  作者：Goodman, Sarena
  作者单位：Federal Reserve System - USA
  摘要：Between 2000 and 2010, five U.S. states adopted mandates requiring high school juniors to take a college entrance exam. In the two earliest-adopting states, nearly half of all students were induced into testing, and 40% to 45% of them earned scores high enough to qualify for selective colleges. Selective enrollment rose by 20% following implementation of the mandates, reflecting substitution away from noncompetitive schools. I conclude that a large number of high-ability students appear to dra...
• Robust Standard Errors in Small Samples: Some Practical Advice AI翻译
  作者：Imbens, Guido W.; Kolesar, Michal
  作者单位：Stanford University; National Bureau of Economic Research; Princeton University
  摘要：We study the properties of heteroskedasticity-robust confidence intervals for regression parameters. We show that confidence intervals based on a degrees-of-freedom correction suggested by Bell and McCaffrey (2002) are a natural extension of a principled approach to the Behrens-Fisher problem. We suggest a further improvement for the case with clustering. We show that these standard errors can lead to substantial improvements in coverage rates even for samples with fifty or more clusters.We re...