1 / 14

Part I: Impact Evaluation of Rural Roads Dominique van de Walle DECRG, October 2006

Part I: Impact Evaluation of Rural Roads Dominique van de Walle DECRG, October 2006. With limited redistributive instruments, we look to sectors such as rural roads to achieve distributional objectives General belief that roads are good for development & living standards

reese
Download Presentation

Part I: Impact Evaluation of Rural Roads Dominique van de Walle DECRG, October 2006

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Part I: Impact Evaluation of Rural RoadsDominique van de WalleDECRG, October 2006

  2. With limited redistributive instruments, we look to sectors such as rural roads to achieve distributional objectives • General belief that roads are good for development & living standards • But, little is known about impacts

  3. What Is Different About Roads? • Impacts are indirect: roads are an intermediate service; impacts depend on interactions w/other investments, household & community factors Important to control for heterogeneity of other factors • But, impacts can be economy wide: potential controls may have been determined by road investment • Roads are not randomly placed

  4. Therefore: • Traditional methods of conducting evaluation may be contaminated by the project, directly or indirectly • Potential for randomization is limited • Need: • baseline and panel • appropriate controls for exogenous time varying factors i.e. double difference + controls for observed time varying factors

  5. Getting at distributional impacts: • On average benefits may be positive • But, there may be both gainers & losers • Short & longer term distributional impacts may be different • So need: • ability to differentiate between welfare groups • sufficiently long post-project follow-up

  6. Learning from the Ex-Ante Evaluation Think about evaluation from day 1 of project ‘Appraisal’ stage can be thought of as ‘ex-ante evaluation’ How are intervention areas picked? How are road links chosen? Helps to understand biases in ex-post evaluation

  7. Part II: Application to Rural transport project (RTPI) in Vietnam • Rural roads rehabilitation project in 18 provinces of Vietnam, 1997-2001 • To link communities with markets and reduce poverty • Rehabilitation of rural roads; no new roads are to be built. • Selection criteria: costs less than $15,000 per km; population served is at least 300 per km.

  8. Evaluation Questions • What are the impacts of rural roads on living standards (broadly defined) and their distribution? • What factors influence those outcomes? • How much do benefits depend on other investments (e.g. human capital)? • In what ways do first-round impacts differ from longer term impacts?

  9. Survey of Rural Road Impacts in Vietnam (SIRRV) • Pre-project baseline in 1997 • Post-project follow-up rounds every two years: 1999, 2001 and 2003. • 100 “treatment,” 100 “comparison” communes in 6 provinces; randomly chosen • 15 households per commune: stratified sampling • Panel of 200 communes & 3000 households. District and project data bases • No welfare indicator; possibility of linking up with VLSS98

  10. Risks • timing: project delays • commune splits • weather: typhoons, flooding etc • waning interest • fungibility: project aid displacement

  11. Evaluation methodology Diff-in-diff with propensity score matching • Propensity-score matching • Using baseline characteristics likely to affect selection into the project, and outcomes • This deals with observable heterogeneity in initial conditions that can influence subsequent changes over time • Diff-in-diff • Difference in outcomes over time between matched project and non-project communes • Purges additive time-invariant unobservables

  12. Evaluation methodology • Logit model of program participation on pooled project and non-project samples. • Create predicted values from the logit regression – the propensity scores • Check for common support • Nonparametric kernel matching is used for one estimator • An alternative estimator uses the propensity scores to weight the DD

  13. Impacts on rehabilitated road kms? • Impacts on rehabilitated road km were less than intended • However, more roads were built in project areas. • Thus, we find fungibility within the sector, but evidence of a flypaper effect of aid on roads • Spending on rehab + building accords reasonably closely to total amount allocated by the project

  14. Other findings so far: • Impacts on market development, availability of goods, household involvement with markets • But, very heterogeneous impacts across communes, depending on initial conditions.

More Related