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Citations for "Average Causal Response with Variable Treatment Intensity"

by Angrist, J.D. & Imbens, G.W.

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  1. Joshua D. Angrist & Kathryn Graddy & Guido W. Imbens, 1995. "Non-Parametric Demand Analysis with an Application to the Demand for Fish," NBER Technical Working Papers 0178, National Bureau of Economic Research, Inc.
  2. Stephen Machin & Sandra McNally & Olmo Silva, 2006. "New technology in schools: is there a payoff?," LSE Research Online Documents on Economics 3652, London School of Economics and Political Science, LSE Library.
  3. John Bound & David A. Jaeger, 1996. "On the Validity of Season of Birth as an Instrument in Wage Equations: A Comment on Angrist & Krueger's "Does Compulsory School Attendance Affect Scho," NBER Working Papers 5835, National Bureau of Economic Research, Inc.
  4. Susan M. Dynarski, 1999. "Does Aid Matter? Measuring the Effect of Student Aid on College Attendance and Completion," NBER Working Papers 7422, National Bureau of Economic Research, Inc.
  5. 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 for the Study of Labor (IZA).
  6. Todd Stinebrickner & Ralph Stinebrickner, 2001. "Working During School and Academic Performance," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20011, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
  7. Angrist, Joshua & Lavy, Victor, 2001. "New Evidence on Classroom Computers and Pupil Learning," IZA Discussion Papers 362, Institute for the Study of Labor (IZA).
  8. Leonardo Bonilla Mejía & Luis Armando Galvis, 2011. "Profesionalización docente y la calidad de la educación escolar en Colombia," DOCUMENTOS DE TRABAJO SOBRE ECONOMÍA REGIONAL 009005, BANCO DE LA REPÚBLICA - ECONOMÍA REGIONAL.
  9. John Bound & David A. Jaeger & Regina Baker, 1993. "The Cure Can Be Worse than the Disease: A Cautionary Tale Regarding Instrumental Variables," NBER Technical Working Papers 0137, National Bureau of Economic Research, Inc.
  10. Denny, K.J. & Harmon, C.P., 2000. "Education Policy Reform and the Return to Schooling from Instrumental Variables," Papers 00/12, College Dublin, Department of Political Economy-.
  11. Martin Nordin & Dan-Olof Rooth, 2007. "The Income Gap Between Natives and Second Generation Immigrants in Sweden: Is Skill the Explanation?," CReAM Discussion Paper Series 0706, Centre for Research and Analysis of Migration (CReAM), Department of Economics, University College London.
  12. Thomas Lemieux & David Card, 2001. "Education, earnings, and the "Canadian G.I. Bill"," Canadian Journal of Economics, Canadian Economics Association, vol. 34(2), pages 313-344, May.
  13. Giovanni Cerulli, 2010. "A responsiveness-based (composite) indicator with an application to countries’ innovative performance," CERIS Working Paper 201010, Institute for Economic Research on Firms and Growth - Moncalieri (TO).
  14. Leonardo Bonilla & Luis Armando Galvis, 2012. "Profesionalización docente y calidad de la educación escolar en Colombia," Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 30(68), pages 116-163, Junio.
  15. Angrist, Joshua & Lavy, Victor & Schlosser, Analia, 2006. "New Evidence on the Causal Link between the Quantity and Quality of Children," IZA Discussion Papers 2075, Institute for the Study of Labor (IZA).
  16. Weili Ding & Steven Lehrer & J. Niles Rosenquist & Janet Audrain-McGovern, 2006. "The Impact of Poor Health on Education: New Evidence Using Genetic Markers," Working Papers 1045, Queen's University, Department of Economics.
  17. Giovanni Cerulli, 2010. "Are R&D subsidies provided optimally? Evidence from a simulated agency-firm stochastic dynamic game," CERIS Working Paper 201011, Institute for Economic Research on Firms and Growth - Moncalieri (TO).
  18. Cuong, Nguyen Viet & Mont, Daniel, 2011. "Does parental disability matter to child education ? evidence from Vietnam," Policy Research Working Paper Series 5743, The World Bank.
  19. Anna Piil Damm, 2009. "Ethnic Enclaves and Immigrant Labor Market Outcomes: Quasi-Experimental Evidence," Journal of Labor Economics, University of Chicago Press, vol. 27(2), pages 281-314, 04.
  20. Arthur Lewbel, 2000. "Endogenous Selection Or Treatment Model Estimation," Boston College Working Papers in Economics 462, Boston College Department of Economics, revised 13 Jun 2007.
  21. Patrinos, Harry Anthony & Sakellariou, Chris, 2004. "Schooling and labor market impacts of a natural policy experiment," Policy Research Working Paper Series 3460, The World Bank.
  22. Løken, Katrine Vellesen & Mogstad, Magne & Wiswall, Matthew, 2011. "What Linear Estimators Miss: The E ects of Family Income on Child Outcomes," Working Papers in Economics 02/11, University of Bergen, Department of Economics.
  23. Joshua Angrist, 2005. "Instrumental Variables Methods in Experimental Criminological Research: What, Why, and How?," NBER Technical Working Papers 0314, National Bureau of Economic Research, Inc.
  24. Joshua D. Angrist, 1995. "Conditioning on the Probability of Selection to Control Selection Bias," NBER Technical Working Papers 0181, National Bureau of Economic Research, Inc.
  25. Joshua D. Angrist & William N. Evans, 1996. "Schooling and Labor Market Consequences of the 1970 State Abortion Reforms," NBER Working Papers 5406, National Bureau of Economic Research, Inc.
  26. M. C. Navarro-Perez & J. M. Serrano-Sanz, 2002. "Evaluating Educational Output: An Estimation Method Based on Cross-Section Data," Education Economics, Taylor & Francis Journals, vol. 10(1), pages 71-95.
  27. Daron Acemoglu & Joshua Angrist, 1999. "How Large are the Social Returns to Education? Evidence from Compulsory Schooling Laws," Working papers 99-30, Massachusetts Institute of Technology (MIT), Department of Economics.
  28. Maluccio, John A., 1998. "Endogeneity of schooling in the wage function," FCND discussion papers 54, International Food Policy Research Institute (IFPRI).
  29. Myoung-Jae Lee, 2004. "Selection correction and sensitivity analysis for ordered treatment effect on count response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 323-337.
  30. Joshua Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," NBER Working Papers 8456, National Bureau of Economic Research, Inc.
  31. Harley Frazis & Mark A Loewenstein, 2006. "Wage Compression and the Division of Returns to Productivity Growth: Evidence from EOPP," Working Papers 398, U.S. Bureau of Labor Statistics.
  32. Pettersson Lidbom, Per, 2003. "Does the Size of the Legislature Affect the Size of Government? Evidence from a Natural Experiment," Research Papers in Economics 2003:18, Stockholm University, Department of Economics.
  33. Esther Duflo, 2000. "Schooling and Labor Market Consequences of School Construction in Indonesia: Evidence from an Unusual Policy Experiment," NBER Working Papers 7860, National Bureau of Economic Research, Inc.
  34. Baez, Javier E., 2008. "Does More Mean Better? Sibling Sex Composition and the Link between Family Size and Children’s Quality," IZA Discussion Papers 3472, Institute for the Study of Labor (IZA).
  35. Alberto Abadie, 2000. "Semiparametric Estimation of Instrumental Variable Models for Causal Effects," NBER Technical Working Papers 0260, National Bureau of Economic Research, Inc.
  36. David Card, 1993. "Using Geographic Variation in College Proximity to Estimate the Return to Schooling," NBER Working Papers 4483, National Bureau of Economic Research, Inc.
  37. Joshua D. Angrist & Victor Lavy, 1997. "Using Maimonides' Rule to Estimate the Effect of Class Size on Student Achievement," NBER Working Papers 5888, National Bureau of Economic Research, Inc.
  38. Dante Contreras, 2002. "Vouchers, School Choice and the Access to Higher Education," Working Papers 845, Economic Growth Center, Yale University.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.