We present a nonparametric revealed preference methodology for empirically analyzing collective consumption behavior …. First, we introduce an integer programming (IP) methodology for testing data consistency with collective consumption models …

We extend the nonparametric 'revealed preference' methodology for analyzing collective consumption behavior (with … consumption externalities and public consumption), to render it useful for empirical applications that deal with welfare … preferences of the group members (in terms of consumption externalities and public consumption); and we show that these testing …

We extend the nonparametric 'revealed preference' methodology for analyzing collective consumption behavior (with … consumption externalities and public consumption), to render it useful for empirical applications that deal with welfare … preferences of the group members (in terms of consumption externalities and public consumption); and we show that these testing …

but the argument is unknown. Many problems in econometrics can be stated in the form of inverse problems where the … the estimator. Integral equations of the first kind appear, for example, in the generalized method of moments when the …

easy to compute point estimator of a slope coefficient which can be interpreted as a local average treatment effect (LATE …). However, the 2SLS estimator does not measure the value of other useful treatment effect parameters without invoking untenable …

conditions that allow for both mildly ill-posed and severely ill-posed cases. We show that both a simple projection estimator for … the NPIR model, and a sieve minimum distance estimator for the NPIV model, can achieve the minimax risk lower bounds, and …