This paper attempts to assess the impact of treatment effect or programme applying difference in difference (DD) approach. This study also identifies that the DD estimators are biased under certain conditions.

This paper provides empirical evidence on the impact on the welfare of the most important social programs implemented in the last decade in Argentina: the Inclusion Pension Plan and the Universal Child Allowance (UCA), and discusses which of these redistributive instruments presents the highest...

A number of highly cited papers by Flyvbjerg and associates have shown that ex ante infrastructure appraisals tend to be overly optimistic. Ex post evaluations indicate a bias where investment costs are higher and benefits lower on average than predicted ex ante. These authors argue that the...

To increase the opportunities for poor ethnic minorities to benefit from economic growth the government of Vietnam implemented one of the biggest poverty reduction programs entitled ‘Socio-economic Development for the Communes Facing Greatest Hardships in the Ethnic Minority and Mountainous...

Education is the basic requirement and the ‘Fundamental Right’ of the citizens of a nation. Elementary Education system also serves as the base over which the super-structure of the whole knowledge system is built up. This calls for bringing all children under coverage of Elementary...

It is currently difficult for Member States to assess and compare the success or performance of UN organizations despite recent movements towards results-based approaches. Efforts in the implementation of logical frameworks have been too independent and uncoordinated and left at the discretion...

This article considers approaches, prevalent in the world, to appraisal of large-scale investment projects aimed at construction of transport systems. The approaches are classed as microeco-nomic evaluation, multi-criteria evaluation, and macroeconomic evaluation. Problems of appli-cability of...

Difference-in-differences with matching is a popular method to measure the impact of an intervention in health as well as social sciences. This method requires baseline data, i.e., data before interventions, which are not always available in reality. Instead, panel data with two time periods are...

Although there are numerous studies on impact evaluation of overall health insurance, little is known on the impact of health insurance on health care utilization and out-of-pocket health care spending of children, especially in developing countries. This paper measures the impact of child...

Propensity score matching is a widely-used method to measure the effect of a treatment in social as well as health sciences. An important issue in propensity score matching is how to select conditioning variables in estimation of the propensity score. It is commonly mentioned that only variables...