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Complementarity and Aggregate Implications of Assortative Matching : A Nonparametric Analysis

Graham, Bryan S. - 2009

, potentially complementary, input fixed. We introduce a class of such reallocations -- correlated matching rules -- that includes … the status quo allocation, a random allocation, and both the perfect positive and negative assortative matching …

Persistent link: https://www.econbiz.de/10012463788

Semiparametrically Efficient Estimation of the Average Linear Regression Function

Graham, Bryan S. - 2018

treatment regimes. Our method generalizes familiar methods of covariate adjustment used for program evaluation as well as …

Persistent link: https://www.econbiz.de/10012480885

Measuring the Effects of Segregation in the Presence of Social Spillovers : A Nonparametric Approach

Graham, Bryan S. - 2010

In this paper we nonparametrically analyze the effects of reallocating individuals across social groups in the presence of social spillovers. Individuals are either 'high' or 'low' types. Own outcomes may vary with the fraction of high types in one's social group. We characterize the average...

Persistent link: https://www.econbiz.de/10012462158

Efficiency bounds for missing data models with semiparametric restrictions

Graham, Bryan S. - 2008

- observed covariates. In the program evaluation context, for example, such restrictions are implied by semiparametric models for …

Persistent link: https://www.econbiz.de/10012464271

Minimax Risk and Uniform Convergence Rates for Nonparametric Dyadic Regression

Graham, Bryan S.; Niu, Fengshi; Powell, James - National Bureau of Economic Research - 2021

We study nonparametric regression in a setting where N(N-1) dyadic outcomes are observed for N randomly sampled units. Outcomes across dyads sharing a unit in common may be dependent (i.e., our dataset exhibits dyadic dependence). We present two sets of results. First, we calculate lower bounds...

Persistent link: https://www.econbiz.de/10012496101

Identification and Efficiency Bounds for the Average Match Function under Conditionally Exogenous Matching

Graham, Bryan S. - 2016

. Consider the following matching mechanism: take a random draw from the `W=w_j` subgroup of the first population and match her … function (AMF), denote the expected output associated with this match. We show that (i) the AMF is identified when matching is … conditionally exogenous, (ii) conditionally exogenous matching is compatible with a pairwise stable aggregate matching equilibrium …

Persistent link: https://www.econbiz.de/10012456576