Impact assessment is a significant procedure to evaluate the impact of a project on stipendiary. It consistently evaluates the impact by surveying the result between stipendiary and a control group, particularly prior to and later the project is carried out. Impact evaluation is related to the counterfactual analysis. Impact assessment in India can be specified as “an assessment between what actually happened and what would have happened in the absence of the obstruction.” It is a key component of assessment tools and initiatives and is imperative to all global endeavors to turn around the usefulness of aid delivery and public expenses more generally in achieving outcomes. Impact assessment in India is generally carried out scrupulously and specifically to reach a precise delineation of the most favorable way of achieving the favorite outcome for clients. The counterfactual is never discovered for the beneficiaries themselves at one fell swoop, as they acknowledge the project. As an alternative, the counterfactual is characteristically estimated by control or comparison categories, as in all the techniques below:

Randomization

This course of action subjectively assigns an approved tiny proportion of the suitable donees to the project, giving birth to a project called treatment group. The exceptional befitting beneficiaries form the control group. The disproportion in the outcomes between the dealing and the control group is the impact of the project. Randomization is characteristically the hard and fast way to assign donees to a project if there is an insufficient reserve to even out the project to all adequate donees in the time gone by.

Instrumental Variables

Instrumental Variables is a process that keys out a factor to resolve the receipt of a project, but which does not leverage the final result of the interest.

Regression Discontinuity Design

This is used when a shortcut point on a stable variable, for example, a poverty index is used to resolve who receives an assigned project.

Pipeline Comparison

This technique compares the outcomes of donees who have already received the project to those who have not yet experienced the project but are about to. This technique relies on the best guess that the donees who have already received the project, are like those who are about to take delivery of the project.