In-Tech Program Impact Evaluation 2016 (reproducible scripts)
2016 - POL_2016_ITPIE_v01_M
Miriam Bruhn, David McKenzie
Overview
Abstract
Efforts to foster collaboration between science and industry have long been a part of innovation policy efforts in many countries. This impact evaluation studies the effect of the In-Tech program in Poland on science - industry collaboration, research and innovation, and product commercialization.
The In-Tech program, one of the two tracks of Innotech program, run by Poland's National Center for Research and Development (NCBiR), provides grants to consortia of research entities and firms for proposed research projects.
Applications receive a score based on peer reviewer ratings and those with a score above a threshold are offered funding. Based on this funding rule, a research team from the World Bank used a regression discontinuity (RD) design to estimate the effects of receiving In-Tech funding for applicants to the 2012 and 2013 calls for proposals.
The team used data from In-Tech application forms to show that applicants above and below the cutoff have similar characteristics, suggesting that the RD approach is valid.
The follow-up information on projects and consortia outcomes comes from a 2016 survey of 400 applicants both above and below the funding cutoff that was specifically designed to measure the impact of In-Tech.
The In-Tech program, one of the two tracks of Innotech program, run by Poland's National Center for Research and Development (NCBiR), provides grants to consortia of research entities and firms for proposed research projects.
Applications receive a score based on peer reviewer ratings and those with a score above a threshold are offered funding. Based on this funding rule, a research team from the World Bank used a regression discontinuity (RD) design to estimate the effects of receiving In-Tech funding for applicants to the 2012 and 2013 calls for proposals.
The team used data from In-Tech application forms to show that applicants above and below the cutoff have similar characteristics, suggesting that the RD approach is valid.
The follow-up information on projects and consortia outcomes comes from a 2016 survey of 400 applicants both above and below the funding cutoff that was specifically designed to measure the impact of In-Tech.
Keywords
impact evaluation
panel data
R&D research and development
innovation
science-industry collaboration
regression discontinuity design
Authoring entity
| Agency Name | Role | Affiliation | |
|---|---|---|---|
| Miriam Bruhn | Primary investigator | World Bank | mbruhn@worldbank.org |
| David McKenzie | Primary investigator | World Bank | dmckenzie@worldbank.org |
Other Identifications/ Acknowledgments
| Name | Role |
|---|---|
| Matias Cattaneo | Provided feedback on regression discontinuity designs |
| Aidan Coville and Ana Cusolito | Peer reviewers |
| Aleksandra Klupa | Research assistance |
| Maciej Drozd, Thomas Haven, Natasha Kapil and Siddharth Sharma (World Bank) | Guidance and support |
| Emilia Nasilowska and the team at NCBiR | Insights on the Innotech program |
Topics
| ID | Topic | Vocabulary | Vocabulary URI |
|---|---|---|---|
| O31 | Innovation and Invention: Processes and Incentives | JEL codes | https://www.aeaweb.org/econlit/jelCodes.php |
| O38 | Government Policy | JEL codes | https://www.aeaweb.org/econlit/jelCodes.php |
| H25 | Business Taxes and Subsidies | JEL codes | https://www.aeaweb.org/econlit/jelCodes.php |
Language
English
Methods, software and scripts
Methods or algorithms applied
Regression-discontinuity Designs (rdrobust)
Local linear with optimal bandwidth
Local linear on full sample
Local mean with optimal bandwidth
Local linear with optimal bandwidth and controls
Standardized z-scores
scatter, histogram, plot residuals (rdplot)
Software
| Name | Version |
|---|---|
| Stata | 14 |
Scripts
|
File name
WBER_replicationversionPublic
Description
'Regression-discontinuity evidence from Poland' Miriam Bruhn and David McKenzie, World Bank Economic Review)
Date
2016
Format
Stata do file
software
Stata 14
|
Datasets
Datasets
In-Tech Program Impact Evaluation 2016
POL_2016_ITPIE_v01_M
Data access type: Public
Stata 14 [.dta] data file
Geographic locations
| Location | Code | Type |
|---|---|---|
| Poland | POL | Country |
Confidentiality
The published materials do not contain confidential information.