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Cattaneo, Matias D. - Palgrave Macmillan

The term multi-valued treatment effects refers to a collection of population parameters capturing the impact of a treatment variable on an outcome variable when the treatment takes multiple values. For example, in labour training programmes participants receive different hours of training or in...

Persistent link: https://www.econbiz.de/10009395631

Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies

Diamond, Alexis; Sekhon, Jasjeet S. - In: The Review of Economics and Statistics 95 (2013) 3, pp. 932-945

This paper presents genetic matching, a method of multivariate matching that uses an evolutionary search algorithm to … determine the weight each covariate is given. Both propensity score matching and matching based on Mahalanobis distance are … limiting cases of this method. The algorithm makes transparent certain issues that all matching methods must confront. We …

Persistent link: https://www.econbiz.de/10011009911

Semiparametric Duration Models

Drost, Feike C.; Werker, Bas J.M. - Tilburg University, Center for Economic Research - 2001

Persistent link: https://www.econbiz.de/10011090856

Improving Upon the Marginal Empirical Distribution Functions when the Copula is Known

Werker, Bas J.M.; Segers, J.J.J.; van den Akker, R. - Tilburg University, Center for Economic Research - 2008

At the heart of the copula methodology in statistics is the idea of separating marginal distributions from the dependence structure. However, as shown in this paper, this separation is not to be taken for granted: in the model where the copula is known and the marginal distributions are...

Persistent link: https://www.econbiz.de/10011090999

Asymptotic Efficiency of Semiparametric Two-step GMM

Chen, Xiaohong; Hahn, Jinyong; Liao, Zhipeng - Cowles Foundation for Research in Economics, Yale University - 2012

In this note, we characterize the semiparametric efficiency bound for a class of semiparametric models in which the unknown nuisance functions are identified via nonparametric conditional moment restrictions with possibly non-nested or over-lapping conditioning sets, and the finite dimensional...

Persistent link: https://www.econbiz.de/10010812538

Averaging of moment condition estimators

Chen, Xiaohong; Jacho-Chavez, David T.; Linton, Oliver - Centre for Microdata Methods and Practice (CEMMAP) - 2012

We establish the consistency and asymptotic normality for a class of estimators that are linear combinations of a set of v n- consistent estimators whose cardinality increases with sample size. A special case of our framework corresponds to the conditional moment restriction and the implied...

Persistent link: https://www.econbiz.de/10010575249

Efficient Estimation of Semiparametric Conditional Moment Models with Possibly Nonsmooth Residuals

Chen, Xiaohong; Pouzo, Demian - Cowles Foundation for Research in Economics, Yale University - 2008

This paper considers semiparametric efficient estimation of conditional moment models with possibly nonsmooth residuals in unknown parametric components (theta) and unknown functions (h) of endogenous variables. We show that: (1) the penalized sieve minimum distance (PSMD) estimator...

Persistent link: https://www.econbiz.de/10005034052

Efficient Estimation of Average Treatment Effects under Treatment-Based Sampling

Song, Kyungchul - Department of Economics, University of Pennsylvania - 2009

Nonrandom sampling schemes are often used in program evaluation settings to improve the quality of inference. This paper considers what we call treatment-based sampling, a type of standard stratified sampling where part of the strata are based on treatments. This paper first establishes...

Persistent link: https://www.econbiz.de/10005109603

Empirical Likelihood Methods in Econometrics: Theory and Practice

Kitamura, Yuichi - Cowles Foundation for Research in Economics, Yale University - 2006

, GMM, GEL and other related estimators. Second, EL is shown to have various advantages over other methods. The theory of …

Persistent link: https://www.econbiz.de/10005087392

Count Data Models with Unobserved Heterogeneity: An Empirical Likelihood Approach

Boes, Stefan - Institut für Volkswirtschaftslehre, … - 2007

As previously argued, the correlation between included and omitted regressors generally causes inconsistency of standard estimators for count data models. Using a specific residual function and suitable instruments, a consistent generalized method of moments estimator can be obtained under...

Persistent link: https://www.econbiz.de/10005819668