The paper estimates the teaching efficiencies of Indian Higher Educational Institutions (HEIs) using Data Envelopment Analysis (DEA) according to their location, ownership, courses they specialise in and age, using recent data published by National Institutional Ranking Framework (NIRF). We find...

Estimating efficiencies of higher education institutions (HEIs) has become a central area of research in efficiency analysis literature, particularly during the last two decades. Although the number of efficiency analysis researches in higher education has risen, comparative research estimating...

We address the efficiency of expenditure in education provision by comparing the output (PISA results) from the educational system of 25, mostly OECD, countries with resources employed (teachers per student, time spent at school). We estimate a semi-parametric model of the education production...

Numerous empirical studies employ regression discontinuity designs with multiple cutoffs and heterogeneous treatments. A common practice is to normalize all the cutoffs to zero and estimate one effect. This procedure identifies the average treatment effect (ATE) on the observed distribution of...

This paper examines regression-adjusted estimation and inference of unconditional quantile treatment effects (QTEs) under covariate-adaptive randomizations (CARs). Datasets from field experiments usually contain extra baseline covariates in addition to the strata indicators. We propose to...

Concern over the distributional effects of policies which induce changes in peer group structure, or associational redistributions (Durlauf, 1996c), motivates a substantial body of theoretical and empirical research in economics, sociology, psychology, and education. A growing collection of...

Efficiency of education and health provision in a sample of OECD countries is assessed by means of two alternative non-parametric methodologies: FDH and DEA. The efficiency frontier is estimated using both measures of expenditure and quantity inputs, as a country may well be efficient from a...

In this paper we consider nonparametric estimation of a structural equation model under full additivity constraint. We propose estimators for both the conditional mean and gradient which are consistent, asymptotically normal, oracle efficient and free from the curse of dimensionality. Monte...

In this paper we consider nonparametric estimation of a structural equation model under full additivity constraint. We propose estimators for both the conditional mean and gradient which are consistent, asymptotically normal, oracle efficient and free from the curse of dimensionality. Monte...

In this paper we consider nonparametric estimation of a structural equation model under full additivity constraint. We propose estimators for both the conditional mean and gradient which are consistent, asymptotically normal, oracle efficient and free from the curse of dimensionality. Monte...