The State of Economics, the State of the World
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Kasy, Maximilian, 2016.
"Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead,"
Political Analysis, Cambridge University Press, vol. 24(3), pages 324-338, July.
- Kasy, Maximilian, "undated". "Why Experimenters Might Not Always Want to Randomize, and What They Could Do Instead," Working Paper 36154, Harvard University OpenScholar.
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.- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2020.
"Optimal data collection for randomized control trials,"
The Econometrics Journal, Royal Economic Society, vol. 23(1), pages 1-31.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/16, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 15/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers 45/17, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP15/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Carneiro, Pedro & Lee, Sokbae & Wilhelm, Daniel, 2016. "Optimal Data Collection for Randomized Control Trials," IZA Discussion Papers 9908, Institute of Labor Economics (IZA).
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2019. "Optimal Data Collection for Randomized Control Trials," CeMMAP working papers CWP21/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2016. "Optimal data collection for randomized control trials," CeMMAP working papers 15/16, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae (Simon) Lee & Daniel Wilhelm, 2017. "Optimal data collection for randomized control trials," CeMMAP working papers CWP45/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Pedro Carneiro & Sokbae Lee & Daniel Wilhelm, 2016. "Optimal Data Collection for Randomized Control Trials," Papers 1603.03675, arXiv.org, revised Aug 2016.
- Aufenanger, Tobias, 2017. "Machine learning to improve experimental design," FAU Discussion Papers in Economics 16/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2017.
- Timothy B. Armstrong & Shu Shen, 2013.
"Inference on Optimal Treatment Assignments,"
Cowles Foundation Discussion Papers
1927RR, Cowles Foundation for Research in Economics, Yale University, revised Apr 2015.
- Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927, Cowles Foundation for Research in Economics, Yale University.
- Timothy B. Armstrong & Shu Shen, 2013. "Inference on Optimal Treatment Assignments," Cowles Foundation Discussion Papers 1927R, Cowles Foundation for Research in Economics, Yale University, revised Apr 2014.
- Jinglong Zhao, 2024. "Experimental Design For Causal Inference Through An Optimization Lens," Papers 2408.09607, arXiv.org, revised Aug 2024.
- Sven Resnjanskij & Jens Ruhose & Simon Wiederhold & Ludger Woessmann & Katharina Wedel, 2024.
"Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor Market Prospects,"
Journal of Political Economy, University of Chicago Press, vol. 132(3), pages 1013-1062.
- Sven Resnjanskij & Jens Ruhose & Simon Wiederhold & Ludger Woessmann, 2021. "Can Mentoring Alleviate Family Disadvantage in Adolscence? A Field Experiment to Improve Labor-Market Prospects," CESifo Working Paper Series 8870, CESifo.
- Resnjanskij, Sven & Ruhose, Jens & Wiederhold, Simon & Woessmann, Ludger, 2021. "Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor-Market Prospects," IZA Discussion Papers 14097, Institute of Labor Economics (IZA).
- Resnjanskij, Sven & Ruhose, Jens & Wiederhold, Simon & Woessmann, Ludger, 2021. "Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor-Market Prospects," Rationality and Competition Discussion Paper Series 277, CRC TRR 190 Rationality and Competition.
- Resnjanskij, Sven & Ruhose, Jens & Wiederhold, Simon & Wößmann, Ludger, 2021. "Can Mentoring Alleviate Family Disadvantage in Adolescence? A Field Experiment to Improve Labor-Market Prospects," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242341, Verein für Socialpolitik / German Economic Association.
- Yusuke Narita, 2018.
"Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials,"
Cowles Foundation Discussion Papers
2127r, Cowles Foundation for Research in Economics, Yale University, revised May 2019.
- Yusuke Narita, 2019. "Experiment-as-Market: Incorporating Welfare into Randomized Controlled Trials," Working Papers 2019-025, Human Capital and Economic Opportunity Working Group.
- Aufenanger, Tobias, 2018. "Treatment allocation for linear models," FAU Discussion Papers in Economics 14/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics, revised 2018.
- Eszter Czibor & David Jimenez‐Gomez & John A. List, 2019.
"The Dozen Things Experimental Economists Should Do (More of),"
Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 371-432, October.
- Eszter Czibor & David Jimenez-Gomez & John List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Artefactual Field Experiments 00648, The Field Experiments Website.
- Eszter Czibor & David Jimenez-Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," NBER Working Papers 25451, National Bureau of Economic Research, Inc.
- Gerhard Riener & Sebastian Schneider & Valentin Wagner, 2020.
"Addressing Validity and Generalizability Concerns in Field Experiments,"
Discussion Paper Series of the Max Planck Institute for Research on Collective Goods
2020_16, Max Planck Institute for Research on Collective Goods.
- Riener, Gerhard & Schneider, Sebastian & Wagner, Valentin, 2020. "Addressing validity and generalizability concerns in field experiments," DICE Discussion Papers 345, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
- Gerhard Riener & Sebastian O. Schneider & Valentin Wagner, 2020. "Addressing Validity and Generalizability Concerns in Field Experiments," Working Papers 2019, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
- Max Tabord-Meehan, 2023.
"Stratification Trees for Adaptive Randomisation in Randomised Controlled Trials,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 90(5), pages 2646-2673.
- Max Tabord-Meehan, 2018. "Stratification Trees for Adaptive Randomization in Randomized Controlled Trials," Papers 1806.05127, arXiv.org, revised Jul 2022.
- Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017.
"A Theory of Experimenters,"
CESifo Working Paper Series
6678, CESifo.
- Abhijit Banerjee & Sylvain Chassang & Sergio Montero & Erik Snowberg, 2017. "A Theory of Experimenters," NBER Working Papers 23867, National Bureau of Economic Research, Inc.
- Max Cytrynbaum, 2021. "Optimal Stratification of Survey Experiments," Papers 2111.08157, arXiv.org, revised Aug 2023.
- Fryer, Roland G., 2016. "Information, non-financial incentives, and student achievement: Evidence from a text messaging experiment," Journal of Public Economics, Elsevier, vol. 144(C), pages 109-121.
- Yiping Lu & Jiajin Li & Lexing Ying & Jose Blanchet, 2022. "Synthetic Principal Component Design: Fast Covariate Balancing with Synthetic Controls," Papers 2211.15241, arXiv.org.
- Justman, Moshe, 2018. "Randomized controlled trials informing public policy: Lessons from project STAR and class size reduction," European Journal of Political Economy, Elsevier, vol. 54(C), pages 167-174.
- Esposito Acosta,Bruno Nicola & Sautmann,Anja, 2022. "Adaptive Experiments for Policy Choice : Phone Calls for Home Reading in Kenya," Policy Research Working Paper Series 10098, The World Bank.
- Moshe Justman, 2016. "Economic Research and Education Policy: Project STAR and Class Size Reduction," Melbourne Institute Working Paper Series wp2016n37, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
- Mogues, Tewodaj & Van Campenhout, Bjorn & Miehe, Caroline & Kabunga, Nassul, 2023. "The impact of community-based monitoring on public service delivery: A randomized control trial in Uganda," World Development, Elsevier, vol. 172(C).
- Davide Viviano, 2020. "Experimental Design under Network Interference," Papers 2003.08421, arXiv.org, revised Jul 2022.
- Deaton, Angus & Cartwright, Nancy, 2018.
"Understanding and misunderstanding randomized controlled trials,"
Social Science & Medicine, Elsevier, vol. 210(C), pages 2-21.
- Angus Deaton & Nancy Cartwright, 2016. "Understanding and Misunderstanding Randomized Controlled Trials," NBER Working Papers 22595, National Bureau of Economic Research, Inc.
- Angus Deaton & Nancy Cartwright, 2017. "Understanding and misunderstanding randomized controlled trials," Working Papers 2017-10, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
- Angus Deaton & Nancy Cartwright, 2016. "Understanding and Misunderstanding Randomized Controlled Trials," Working Papers august_25.pdf, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
More about this item
Keywords
Macroeconomics and Economic Growth-Economic Development Macroeconomics and Economic Growth-Economic Growth Macroeconomics and Economic Growth-Economic Theory & Research Macroeconomics and Economic Growth-Fiscal & Monetary Policy Macroeconomics and Economic Growth-Macroeconomic Management;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:wbk:wbpubs:36844. 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: Tal Ayalon (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.