A Guide to Longitudinal Program Impact Evaluation

MLE Technical Working Paper 1-2014

91 Pages Posted: 19 Jun 2016

See all articles by Gustavo Angeles

Gustavo Angeles

University of North Carolina at Chapel Hill - College of Health

Christopher Cronin

University of Notre Dame, Department of Economics

David K. Guilkey

University of North Carolina (UNC) at Chapel Hill - Department of Economics

Peter Michael Lance

University of North Carolina (UNC) at Chapel Hill

Brian Sullivan

The University of Tampa

Date Written: 2014

Abstract

This article serves as a practical guide for implementing longitudinal estimation procedures in program impact evaluation. Throughout, we use as examples the data and objectives of the the Measurement, Learning & Evaluation (MLE) Project of the Urban Reproductive Health Initiative and the MEASURE Evaluation project, both of which are based in the Carolina Population Center at the University of North Carolina at Chapel Hill. The guide first explains the advantages of gathering longitudinal data and then describes the assumptions and methods of analysis for use with longitudinal data. We demonstrate that the applications of these methods can yield the statistically correct estimates of program impact required to answer key evaluation questions, such as those that we have listed for the MLE project. The methods discussion are supplemented with examples from the literature and with empirical examples demonstrated with Stata.

Keywords: Program Impact Evaluation, Longitudinal Data Methods

Suggested Citation

Angeles, Gustavo and Cronin, Christopher and Guilkey, David K. and Lance, Peter Michael and Sullivan, Brian, A Guide to Longitudinal Program Impact Evaluation (2014). MLE Technical Working Paper 1-2014, Available at SSRN: https://ssrn.com/abstract=2796689 or http://dx.doi.org/10.2139/ssrn.2796689

Gustavo Angeles

University of North Carolina at Chapel Hill - College of Health

102 Ridge Road
Chapel Hill, NC NC 27514
United States

Christopher Cronin

University of Notre Dame, Department of Economics ( email )

Notre Dame, IN 46556-5646
United States

David K. Guilkey (Contact Author)

University of North Carolina (UNC) at Chapel Hill - Department of Economics ( email )

Chapel Hill, NC 27599
United States
919-966-2385 (Phone)
919-966-4986 (Fax)

Peter Michael Lance

University of North Carolina (UNC) at Chapel Hill ( email )

102 Ridge Road
Chapel Hill, NC NC 27514
United States

Brian Sullivan

The University of Tampa ( email )

401 W. Kennedy Blvd.
Tampa, FL 33606-1490
United States

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
65
Abstract Views
464
rank
372,239
PlumX Metrics