An analysis of the distributive effects of public policies and their spillovers
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Jinyong Hahn & Keisuke Hirano & Dean Karlan, 2011.
"Adaptive Experimental Design Using the Propensity Score,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(1), pages 96-108, January.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2011. "Adaptive Experimental Design Using the Propensity Score," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 96-108.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2008. "Adaptive Experimental Design Using the Propensity Score," MPRA Paper 8315, University Library of Munich, Germany.
- Jinyong Hahn & Keisuke Hirano & Dean Karlan, 2009. "Adaptive Experimental Design Using the Propensity Score," Working Papers 969, Economic Growth Center, Yale University.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean, 2009. "Adaptive Experimental Design Using the Propensity Score," Working Papers 59, Yale University, Department of Economics.
- Hahn, Jinyong & Hirano, Keisuke & Karlan, Dean S., 2009. "Adaptive Experimental Design Using the Propensity Score," Center Discussion Papers 47107, Yale University, Economic Growth Center.
- Sarah Baird & Aislinn Bohren & Berk Ozler & Craig McIntosh, 2014.
"Designing Experiments to Measure Spillover Effects,"
Working Papers
2014-11, The George Washington University, Institute for International Economic Policy.
- Sarah Baird & J. Aislinn Bohren & Craig McIntosh & Berk Ozler, 2014. "Designing Experiments to Measure Spillover Effects," PIER Working Paper Archive 14-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Baird, Sarah & Bohren, Aislinn & McIntosh, Craig & Ozler, Berk, 2014. "Designing experiments to measure spillover effects," Policy Research Working Paper Series 6824, The World Bank.
- Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2014. "Designing Experiments to Measure Spillover Effects," PIER Working Paper Archive 14-032, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- Charles F. Manski, 2013.
"Identification of treatment response with social interactions,"
Econometrics Journal, Royal Economic Society, vol. 16(1), pages 1-23, February.
- Charles F. Manski, 2010. "Identification of treatment response with social interactions," CeMMAP working papers CWP01/10, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Hudgens, Michael G. & Halloran, M. Elizabeth, 2008. "Toward Causal Inference With Interference," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 832-842, June.
- Guido W. Imbens & Jeffrey M. Wooldridge, 2009.
"Recent Developments in the Econometrics of Program Evaluation,"
Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
- Guido Imbens & Jeffrey M. Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Wooldridge, Jeffrey M. & Imbens, Guido, 2009. "Recent Developments in the Econometrics of Program Evaluation," Scholarly Articles 3043416, Harvard University Department of Economics.
- Imbens, Guido W. & Wooldridge, Jeffrey M., 2008. "Recent Developments in the Econometrics of Program Evaluation," IZA Discussion Papers 3640, Institute of Labor Economics (IZA).
- Guido M. Imbens & Jeffrey M. Wooldridge, 2008. "Recent Developments in the Econometrics of Program Evaluation," NBER Working Papers 14251, National Bureau of Economic Research, Inc.
- Bryan S. Graham & Guido W. Imbens & Geert Ridder, 2010. "Measuring the Effects of Segregation in the Presence of Social Spillovers: A Nonparametric Approach," NBER Working Papers 16499, National Bureau of Economic Research, Inc.
- Sobel, Michael E., 2006. "What Do Randomized Studies of Housing Mobility Demonstrate?: Causal Inference in the Face of Interference," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1398-1407, December.
- Michael P. Leung, 2020. "Treatment and Spillover Effects Under Network Interference," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 368-380, May.
- Lan Liu & Michael G. Hudgens, 2014. "Large Sample Randomization Inference of Causal Effects in the Presence of Interference," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 288-301, March.
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.- Sarah Baird & Aislinn Bohren & Craig McIntosh & Berk Ozler, 2017. "Optimal Design of Experiments in the Presence of Interference*, Second Version," PIER Working Paper Archive 16-025, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 30 Nov 2017.
- Denis Fougère & Nicolas Jacquemet, 2020.
"Policy Evaluation Using Causal Inference Methods,"
SciencePo Working papers Main
hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-03098058, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," PSE-Ecole d'économie de Paris (Postprint) hal-03098058, HAL.
- Denis Fougère & Nicolas Jacquemet, 2020. "Policy Evaluation Using Causal Inference Methods," Working Papers hal-03455978, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," Post-Print hal-03098058, HAL.
- Denis Fougère & Nicolas Jacquemet, 2021. "Policy Evaluation Using Causal Inference Methods," SciencePo Working papers Main hal-03098058, HAL.
- Fougère, Denis & Jacquemet, Nicolas, 2020. "Policy Evaluation Using Causal Inference Methods," IZA Discussion Papers 12922, Institute of Labor Economics (IZA).
- Tiziano Arduini & Eleonora Patacchini & Edoardo Rainone, 2020.
"Treatment Effects With Heterogeneous Externalities,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 826-838, October.
- Patacchini, Eleonora & Rainone, Edoardo, 2019. "Treatment Effects with Heterogeneous Externalities," CEPR Discussion Papers 13781, C.E.P.R. Discussion Papers.
- Yi Zhang & Kosuke Imai, 2023. "Individualized Policy Evaluation and Learning under Clustered Network Interference," Papers 2311.02467, arXiv.org, revised Feb 2024.
- Han, Kevin & Basse, Guillaume & Bojinov, Iavor, 2024. "Population interference in panel experiments," Journal of Econometrics, Elsevier, vol. 238(1).
- A. Giffin & B. J. Reich & S. Yang & A. G. Rappold, 2023. "Generalized propensity score approach to causal inference with spatial interference," Biometrics, The International Biometric Society, vol. 79(3), pages 2220-2231, September.
- Stefan Wager & Kuang Xu, 2021. "Experimenting in Equilibrium," Management Science, INFORMS, vol. 67(11), pages 6694-6715, November.
- Davide Viviano & Jess Rudder, 2020. "Policy design in experiments with unknown interference," Papers 2011.08174, arXiv.org, revised May 2024.
- Davide Viviano, 2020. "Experimental Design under Network Interference," Papers 2003.08421, arXiv.org, revised Jul 2022.
- Clarke, Damian, 2017. "Estimating Difference-in-Differences in the Presence of Spillovers," MPRA Paper 81604, University Library of Munich, Germany.
- Yuehao Bai & Azeem M. Shaikh & Max Tabord-Meehan, 2024. "A Primer on the Analysis of Randomized Experiments and a Survey of some Recent Advances," Papers 2405.03910, arXiv.org.
- Michael P. Leung, 2020. "Treatment and Spillover Effects Under Network Interference," The Review of Economics and Statistics, MIT Press, vol. 102(2), pages 368-380, May.
- Supriya Tiwari & Pallavi Basu, 2024. "Quasi-randomization tests for network interference," Papers 2403.16673, arXiv.org, revised Oct 2024.
- Giovanni Cerulli, 2014.
"ntreatreg: a Stata module for estimation of treatment effects in the presence of neighborhood interactions,"
United Kingdom Stata Users' Group Meetings 2014
15, Stata Users Group.
- Giovanni Cerulli, 2014. "ntreatreg: A Stata module for estimation of treatment effects in the presence of neighborhood interactions," Italian Stata Users' Group Meetings 2014 06, Stata Users Group.
- Giovanni Cerulli, 2015. "NTREATREG: Stata module for estimation of treatment effects in the presence of neighbourhood interactions," Statistical Software Components S457961, Boston College Department of Economics, revised 16 May 2022.
- Julius Owusu, 2023. "Randomization Inference of Heterogeneous Treatment Effects under Network Interference," Papers 2308.00202, arXiv.org, revised Jan 2024.
- Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
- Sourafel Girma & Yundan Gong & Holger Görg & Sandra Lancheros, 2016.
"Estimating direct and indirect effects of foreign direct investment on firm productivity in the presence of interactions between firms,"
World Scientific Book Chapters, in: MULTINATIONAL ENTERPRISES AND HOST COUNTRY DEVELOPMENT, chapter 12, pages 227-239,
World Scientific Publishing Co. Pte. Ltd..
- Girma, Sourafel & Gong, Yundan & Görg, Holger & Lancheros, Sandra, 2015. "Estimating direct and indirect effects of foreign direct investment on firm productivity in the presence of interactions between firms," Journal of International Economics, Elsevier, vol. 95(1), pages 157-169.
- Girma, Sourafel & Gong, Yundan & Görg, Holger & Lancheros, Sandra, 2014. "Estimating direct and indirect effects of foreign direct investment on firm productivity in the presence of interactions between firms," Kiel Working Papers 1961, Kiel Institute for the World Economy (IfW Kiel).
- Girma, Sourafel & Gong, Yundan & Görg, Holger & Lancheros, Sandra, 2014. "Estimating Direct and Indirect Effects of Foreign Direct Investment on Firm Productivity in the Presence of Interactions between Firms," IZA Discussion Papers 8509, Institute of Labor Economics (IZA).
- Huber, Martin & Steinmayr, Andreas, 2017.
"A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects,"
IZA Discussion Papers
10648, Institute of Labor Economics (IZA).
- Huber, Martin & Steinmayr, Andreas, 2017. "A Framework for Separating Individual Treatment Effects From Spillover, Interaction, and General Equilibrium Effects," Rationality and Competition Discussion Paper Series 21, CRC TRR 190 Rationality and Competition.
- Huber, Martin & Steinmayr, Andreas, 2017. "A framework for separating individual treatment effects from spillover, interaction, and general equilibrium effects," FSES Working Papers 481, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Zhaonan Qu & Ruoxuan Xiong & Jizhou Liu & Guido Imbens, 2021. "Semiparametric Estimation of Treatment Effects in Observational Studies with Heterogeneous Partial Interference," Papers 2107.12420, arXiv.org, revised Jun 2024.
- Braun, Martin & Verdier, Valentin, 2023. "Estimation of spillover effects with matched data or longitudinal network data," Journal of Econometrics, Elsevier, vol. 233(2), pages 689-714.
More about this item
Keywords
Quantile; Saturation; Spillover;All these keywords.
JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
NEP fields
This paper has been announced in the following NEP Reports:- NEP-LTV-2018-05-14 (Unemployment, Inequality and Poverty)
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:spa:wpaper:2018wpecon06. 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: Pedro Garcia Duarte (email available below). General contact details of provider: https://edirc.repec.org/data/deuspbr.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.