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The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

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Program impact evaluation using a matching method with panel data.

Viet Cuong Nguyen¹

¹Indochina Research & Consulting, Suite 1701, C'Land Tower 156Xa Dan II, Hanoi, Vietnam. c_nguyenviet@yahoo.com

Statistics in Medicine

|December 14, 2011

Summary

This summary is machine-generated.

A new matching method estimates intervention impact using post-intervention data when baseline data is missing. This approach is useful for analyzing health insurance effects with two-period panel data.

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Area of Science:

Health economics
Social sciences research methodology

Background:

Difference-in-differences with matching is a standard impact evaluation technique.
Baseline data, crucial for traditional methods, is often unavailable.
Two-period panel data collected post-intervention is a common alternative.

Purpose of the Study:

To propose a simple matching method for intervention impact assessment.
To address the challenge of missing baseline data in impact evaluations.
To utilize readily available two-period post-intervention panel data.

Main Methods:

Development of a novel matching technique tailored for post-intervention data.
Application of the method to analyze health insurance impact.
Utilizing two-period household panel data from Vietnam.

Main Results:

The proposed method effectively measures intervention impact without baseline data.
The health insurance effect in Vietnam was quantified using this approach.
Demonstrates the feasibility of impact evaluation with limited data.

Conclusions:

The simple matching method offers a viable alternative for impact evaluation when baseline data is absent.
This technique enhances the utility of post-intervention panel data in health and social sciences.
Facilitates the assessment of interventions like health insurance in data-scarce settings.