Now showing items 1-6 of 6

    • Bayesian inference in a class of partially identified models 

      Kline, Brendan; Tamer, Elie (The Econometric Society, 2016)
      This paper develops a Bayesian approach to inference in a class of partially identified econometric models. Models in this class are characterized by a known mapping between a point identified reduced-form parameter µ, and ...
    • Identification of Panel Data Models with Endogenous Censoring 

      Khan, S.; Ponomareva, M.; Tamer, Elie (2015)
      We study inference on parameters in censored panel data models, where the censoring can depend on both observable and unobservable variables in arbitrary ways. Under some general conditions, we characterize the information ...
    • Identification of Preferences in Network Formation Games 

      de Paula, Áureo; Richards-Shunik, Seth; Tamer, Elie (2015)
      This paper provides a framework for identifying preferences in a large network under the assumption of pairwise stability of network links. Network data present difficulties for identification, especially when links between ...
    • Partial Identification in Econometrics 

      Tamer, Elie (Annual Reviews, 2010)
      Identification in econometric models maps prior assumptions and the data to information about a parameter of interest. The partial identification approach to inference recognizes that this process should not result in a ...
    • Quantile Uncorrelation and Instrumental Regressions 

      Komarova, Tatiana; Severini, Thomas A.; Tamer, Elie (Walter de Gruyter GmbH, 2012)
      We introduce a notion of median uncorrelation that is a natural extension of mean (linear) uncorrelation. A scalar random variable Y is median uncorrelated with a k-dimensional random vector X if and only if the slope from ...
    • Some Interpretation of the Linear-In-Means Model of Social Interactions 

      Kline, Brendan; Tamer, Elie (2014)
      The linear-in-means model is often used in applied work to empirically study the role of social interactions and peer effects. We document the subtle relationship between the parameters of the linear-in-means model and the ...