2期

最新文章

• An instrumental variable model of multiple discrete choice AI翻译
  作者：Chesher, Andrew; Rosen, Adam M.; Smolinski, Konrad
  作者单位：University of London; University College London
  摘要：This paper studies identification in multiple discrete choice models in which there may be endogenous explanatory variables, that is, explanatory variables that are not restricted to be distributed independently of the unobserved determinants of latent utilities. The model does not employ large support, special regressor, or control function restrictions; indeed, it is silent about the process that delivers values of endogenous explanatory variables, and in this respect it is incomplete. Inste...
• Large sample properties for estimators based on the order statistics approach in auctions AI翻译
  作者：Menzel, Konrad; Morganti, Paolo
  作者单位：New York University
  摘要：For symmetric auctions, there is a close relationship between distributions of order statistics of bidders' valuations and observable bids that is often used to estimate or bound the valuation distribution, optimal reserve price, and other quantities of interest nonparametrically. However, we show that the functional mapping from distributions of order statistics to their parent distribution is, in general, not Lipschitz continuous and, therefore, introduces an irregularity into the estimation...
• Frequentist inference in weakly identified dynamic stochastic general equilibrium models: Acronyms must be spelled out in titles for indexing purposes AI翻译
  作者：Guerron-Quintana, Pablo; Inoue, Atsushi; Kilian, Lutz
  作者单位：Federal Reserve System - USA; Federal Reserve Bank - Philadelphia; North Carolina State University; University of Michigan System; University of Michigan
  摘要：A common problem in estimating dynamic stochastic general equilibrium models is that the structural parameters of economic interest are only weakly identified. As a result, classical confidence sets and Bayesian credible sets will not coincide even asymptotically, and the mean, mode, or median of the posterior distribution of the structural parameters can no longer be viewed as a consistent estimator. We propose two methods of constructing confidence intervals for structural model parameters t...
• Sensitivity to missing data assumptions: Theory and an evaluation of the US wage structure AI翻译
  作者：Kline, Patrick; Santos, Andres
  作者单位：University of California System; University of California Berkeley; National Bureau of Economic Research; University of California System; University of California San Diego
  摘要：This paper develops methods for assessing the sensitivity of empirical conclusions regarding conditional distributions to departures from the missing at random (MAR) assumption. We index the degree of nonignorable selection governing the missing data process by the maximal Kolmogorov-Smirnov distance between the distributions of missing and observed outcomes across all values of the covariates. Sharp bounds on minimum mean square approximations to conditional quantiles are derived as a functio...