Evaluation of Development Policy: Treatment versus Program Effects
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006.
"Understanding Instrumental Variables in Models with Essential Heterogeneity,"
The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
- Heckman, James J. & Urzua, Sergio & Vytlacil, Edward, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," IZA Discussion Papers 2320, Institute of Labor Economics (IZA).
- James J. Heckman & Sergio Urzua & Edward Vytlacil, 2009. "Understanding Instrumental Variables in Models with Essential Heterogeneity," Working Papers 200941, Geary Institute, University College Dublin.
- James J. Heckman & Sergio Urzua & Edward J. Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," NBER Working Papers 12574, National Bureau of Economic Research, Inc.
- Martin Ravallion, 2009.
"Evaluation in the Practice of Development,"
The World Bank Research Observer, World Bank, vol. 24(1), pages 29-53, March.
- Ravallion, Martin, 2008. "Evaluation in the practice of development," Policy Research Working Paper Series 4547, The World Bank.
- Rodrik, Dani, 2008. "The New Development Economics: We Shall Experiment, but How Shall We Learn?," Working Paper Series rwp08-055, Harvard University, John F. Kennedy School of Government.
- Das, J. & Dercon, S. & Habyarimana, J. & Krishnan, P., 2004.
"‘When Can School Inputs Improve Test Scores?’,"
Cambridge Working Papers in Economics
0437, Faculty of Economics, University of Cambridge.
- Jishnu Das & Stefan Dercon & James Habyarimana & Pramila Krishnan, 2004. "When Can School Inputs Improve Test Scores?," CSAE Working Paper Series 2004-25, Centre for the Study of African Economies, University of Oxford.
- Das, Jishnu & Dercon, Stefan & Habyarimana, James & Krishnan, Pramila, 2004. "When can school inputs improve test scores?," Policy Research Working Paper Series 3217, The World Bank.
- Guido W. Imbens, 2010.
"Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009),"
Journal of Economic Literature, American Economic Association, vol. 48(2), pages 399-423, June.
- Guido W. Imbens, 2009. "Better LATE Than Nothing: Some Comments on Deaton (2009) and Heckman and Urzua (2009)," NBER Working Papers 14896, National Bureau of Economic Research, Inc.
- Jishnu Das & Stefan Dercon & James Habyarimana & Pramila Krishnan, 2007.
"Teacher Shocks and Student Learning: Evidence from Zambia,"
Journal of Human Resources, University of Wisconsin Press, vol. 42(4).
- Jishnu Das & Stefan Dercon & James Habyarimana & Pramila Krishnan, 2004. "Teacher Shocks and Student Learning: Evidence from Zambia," CSAE Working Paper Series 2004-26, Centre for the Study of African Economies, University of Oxford.
- Das, Jishnu & Dercon, Stefan & Habyarimana, James & Krishnan, Pramila, 2005. "Teacher shocks and student learning : evidence from Zambia," Policy Research Working Paper Series 3602, The World Bank.
- Das, J. & Dercon, S. & Habyarimana, J. & Krishnan, P., 2004. "Teacher Shocks and Student Learning: Evidence from Zambia," Cambridge Working Papers in Economics 0514, Faculty of Economics, University of Cambridge.
- Martin Ravallion & Emanuela Galasso & Teodoro Lazo & Ernesto Philipp, 2005. "What Can Ex-Participants Reveal about a Program’s Impact?," Journal of Human Resources, University of Wisconsin Press, vol. 40(1).
- James Heckman, 1997.
"Instrumental Variables: A Study of Implicit Behavioral Assumptions Used in Making Program Evaluations,"
Journal of Human Resources, University of Wisconsin Press, vol. 32(3), pages 441-462.
- Elbers, Chris & Gunning, Jan Willem & de Hoop, Kobus, 2009. "Assessing Sector-wide Programs with Statistical Impact Evaluation: A Methodological Proposal," World Development, Elsevier, vol. 37(2), pages 513-520, February. Full references (including those not matched with items on IDEAS)
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Chris Elbers & Jan Willem Gunning, 2014.
"Evaluation of Development Programs: Randomized Controlled Trials or Regressions?,"
The World Bank Economic Review, World Bank, vol. 28(3), pages 432-445.
- Elbers, Chris & Gunning, Jan Willem, 2013. "Evaluation of development programs : randomized controlled trials or regressions ?," Policy Research Working Paper Series 6587, The World Bank.
- Chris Elbers & Jan Willem Gunning, 2012. "Evaluation of Development Programs: Using Regressions to assess the Impact of Complex Interventions," Tinbergen Institute Discussion Papers 12-081/2, Tinbergen Institute.
- Angus Deaton, 2009.
"Instruments of development: Randomization in the tropics, and the search for the elusive keys to economic development,"
Working Papers
1128, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
- Angus Deaton, 2009. "Instruments of development: Randomization in the tropics, and the search for the elusive keys to economic development," Working Papers 1122, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
- Angus S. Deaton, 2009. "Instruments of development: Randomization in the tropics, and the search for the elusive keys to economic development," NBER Working Papers 14690, National Bureau of Economic Research, Inc.
- Öberg, Stefan, 2018. "Instrumental variables based on twin births are by definition not valid (v.3.0)," SocArXiv zux9s, Center for Open Science.
- Breen, Richard & Ermisch, John, 2021. "Instrumental Variable Estimation in Demographic Studies: The LATE interpretation of the IV estimator with heterogenous effects," SocArXiv vx9m7, Center for Open Science.
- Angus Deaton, 2010.
"Instruments, Randomization, and Learning about Development,"
Journal of Economic Literature, American Economic Association, vol. 48(2), pages 424-455, June.
- Angus Deaton, 2010. "Instruments, randomization, and learning about development," Working Papers 1224, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
- David McKenzie, 2010.
"Impact Assessments in Finance and Private Sector Development: What Have We Learned and What Should We Learn?,"
The World Bank Research Observer, World Bank, vol. 25(2), pages 209-233, August.
- McKenzie, David, 2009. "Impact assessments in finance and private sector development : what have we learned and what should we learn ?," Policy Research Working Paper Series 4944, The World Bank.
- Van Klaveren, C. & De Wolf, I., 2013. "Systematic Reviews In Education Research: When Do Effect Studies Provide Evidence?," Working Papers 46, Top Institute for Evidence Based Education Research.
- Masino, Serena & Niño-Zarazúa, Miguel, 2016.
"What works to improve the quality of student learning in developing countries?,"
International Journal of Educational Development, Elsevier, vol. 48(C), pages 53-65.
- Serena Masino & Miguel Niño-Zarazúa, 2015. "What Works to Improve the Quality of Student Learning in Developing Countries?," WIDER Working Paper Series wp-2015-033, World Institute for Development Economic Research (UNU-WIDER).
- David K. Evans & Anna Popova, 2016.
"What Really Works to Improve Learning in Developing Countries? An Analysis of Divergent Findings in Systematic Reviews,"
The World Bank Research Observer, World Bank, vol. 31(2), pages 242-270.
- Evans,David-000213993 & Popova,Anna, 2015. "What really works to improve learning in developing countries ? an analysis of divergent findings in systematic reviews," Policy Research Working Paper Series 7203, The World Bank.
- Masino, Serena & Niño-Zarazúa, Miguel, 2016.
"What works to improve the quality of student learning in developing countries?,"
International Journal of Educational Development,
Elsevier, vol. 48(C), pages 53-65.
- Serena Masino & Miguel Niño-Zarazúa, 2015. "What works to improve the quality of student learning in developing countries?," WIDER Working Paper Series 033, World Institute for Development Economic Research (UNU-WIDER).
- Ralitza Dimova, 2019. "A Debate that Fatigues…: To Randomise or Not to Randomise; What’s the Real Question?," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 31(2), pages 163-168, April.
- Dionissi Aliprantis, 2013. "Covariates and causal effects: the problem of context," Working Papers (Old Series) 1310, Federal Reserve Bank of Cleveland.
- Kyui, Natalia, 2016.
"Expansion of higher education, employment and wages: Evidence from the Russian Transition,"
Labour Economics, Elsevier, vol. 39(C), pages 68-87.
- Natalia Kyui, 2013. "Expansion of Higher Education, Employment and Wages: Evidence from the Russian Transition," Staff Working Papers 13-45, Bank of Canada.
- Florent Bédécarrats & Isabelle Guérin & François Roubaud, 2015.
"The gold standard for randomized evaluations: from discussion of method to political economy,"
Working Papers
DT/2015/01, DIAL (Développement, Institutions et Mondialisation).
- Florent Bédécarrats & Isabelle Guérin & François Roubaud, 2018. "The gold standard for randomised evaluations: from discussion of method to political economy," Working Papers hal-01686672, HAL.
- Huber Martin & Wüthrich Kaspar, 2019.
"Local Average and Quantile Treatment Effects Under Endogeneity: A Review,"
Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-27, January.
- Huber, Martin & Wüthrich, Kaspar, 2019. "Local Average and Quantile Treatment Effects Under Endogeneity: A Review," University of California at San Diego, Economics Working Paper Series qt4j29d8sc, Department of Economics, UC San Diego.
- Elbers, Chris & Gunning, Jan Willem, 2014. "Evaluation of non-governmental development organizations," WIDER Working Paper Series 026, World Institute for Development Economic Research (UNU-WIDER).
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010.
"The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics,"
Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 3-30, Spring.
- Joshua Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," NBER Working Papers 15794, National Bureau of Economic Research, Inc.
- Angrist, Joshua & Pischke, Jörn-Steffen, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design Is Taking the Con out of Econometrics," IZA Discussion Papers 4800, Institute of Labor Economics (IZA).
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics," RatSWD Working Papers 142, German Data Forum (RatSWD).
- Joshua D. Angrist & Jörn-Steffen Pischke, 2010. "The Credibility Revolution in Empirical Economics: How Better Research Design is taking the Con out of Econometrics," CEP Discussion Papers dp0976, Centre for Economic Performance, LSE.
- Angrist, Joshua D. & Pischke, Jörn-Steffen, 2010. "The credibility revolution in empirical economics: how better research design is taking the con out of econometrics," LSE Research Online Documents on Economics 48898, London School of Economics and Political Science, LSE Library.
- Chris Elbers & Jan Willem Gunning, 2014. "Evaluation of Non-Governmental Development Organizations," WIDER Working Paper Series wp-2014-026, World Institute for Development Economic Research (UNU-WIDER).
- P. Lovaglio & S. Verzillo, 2016. "Heterogeneous economic returns to higher education: evidence from Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 791-822, March.
More about this item
Keywords
program evaluation; randomized controlled trials; policy evaluation; treatment heterogeneity; budget support; sector-wide programs; aid effectiveness;
All these keywords.JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
- O22 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Project Analysis
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:tin:wpaper:20090073. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
- Elbers, Chris & Gunning, Jan Willem & de Hoop, Kobus, 2009. "Assessing Sector-wide Programs with Statistical Impact Evaluation: A Methodological Proposal," World Development, Elsevier, vol. 37(2), pages 513-520, February. Full references (including those not matched with items on IDEAS)