p eople’s business credit program (kur) has been launched to alleviate poverty through provision of micro financing to micro entrepreneurs in indonesia this study aims to estimate the impact of kur program using cross-sectional data and propensity score matching technique (psm). the survey was conducted on 332 household entrepreneurs, consisting of 155 kur receivers and 177 non-kur receivers. r...

A Note on Adapting Propensity Score Matching and Selection Models to Choice Based Samples The probability of selection into treatment plays an important role in matching and selection models. However, this probability can often not be consistently estimated, because of choicebased sampling designs with unknown sampling weights. This note establishes that the selection and matching procedures ca...

when shareholders have agreement about divestiture of company’s share in stock exchange, they decide to change and improve their business ownership structure and the presence of a large shareholder to help divestiture. the present study was aimed to investigate the effect of presence of large shareholder to tends firm to divestiture by a new approach. for this purpose, the propensity score a sa...

Inflation targeting framework has become a predominant monetary approach across the globe. Williams (2015) believes that in a very real sense, almost all economies are inflation targeters -either explicit or implicit- now.(1) Due to the increasing spread of this policy, it is necessary to consider the way it affects macroeconomic variables. using prevalent economic models for evaluating the eff...

The Finite Sample Performance of Semiand Nonparametric Estimators for Treatment Effects and Policy Evaluation This paper investigates the finite sample performance of a comprehensive set of semiand nonparametric estimators for treatment and policy evaluation. In contrast to previous simulation studies which mostly considered semiparametric approaches relying on parametric propensity score estim...

By comparing 401(k) eligible and ineligible households’ wealth, this paper estimates that, on average, about one half of 401(k) balances represent new private savings, and about one quarter of 401(k) balances represent new national savings. Responses to eligibility vary considerably, however, with households who normally save the most largely contributing funds they would have saved anyway. Thi...

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 present simulation studies that ...

Sensitivity of Propensity Score Methods to the Specifications Propensity score matching estimators have two advantages. One is that they overcome the curse of dimensionality of covariate matching, and the other is that they are nonparametric. However, the propensity score is usually unknown and needs to be estimated. If we estimate it nonparametrically, we are incurring the curse-of-dimensional...

We are interested in estimating the average effect of a binary treatment on a scalar outcome. If assignment to the treatment is exogenous or unconfounded, that is, independent of the potential outcomes given covariates, biases associated with simple treatment-control average comparisons can be removed by adjusting for differences in the covariates. Rosenbaum and Rubin (1983) show that adjusting...