Comment on Innovation in the US Federal Government
In: The Role of Innovation and Entrepreneurship in Economic Growth
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Bouguen, Adrien & Huang, Yue & Kremer, Michael & Miguel, Edward, 2018.
"Using Rcts to Estimate Long-Run Impacts in Development Economics,"
Department of Economics, Working Paper Series
qt4sk6c4f7, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Kremer, Michael & Bougen, Adrien & Huang, Yue & Miguel, Edward, 2019. "Using RCTs to Estimate Long-Run Impacts in Development Economics," CEPR Discussion Papers 13443, Centre for Economic Policy Research.
- Bouguen, Adrien & Huang, Yue & Kremer, Michael & Miguel, Edward, 2018. "Using RCTs to Estimate Long-Run Impacts in Development Economics," Department of Economics, Working Paper Series qt5ht9v8vn, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
- Adrien Bouguen & Yue Huang & Michael Kremer & Edward Miguel, 2018. "Using RCTs to Estimate Long-Run Impacts in Development Economics," NBER Working Papers 25356, National Bureau of Economic Research, Inc.
- Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1, January.
- Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338, August.
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.- DUERNECKER Georg & SANCHEZ MARTINEZ Miguel, 2021. "Structural change and productivity growth in the European Union: Past, present and future," JRC Working Papers on Territorial Modelling and Analysis 2021-09, Joint Research Centre.
- Andrea Szalavetz, 2019. "Artificial Intelligence-Based Development Strategy in Dependent Market Economies - Any Room amidst Big Power Rivalry?," Central European Business Review, Prague University of Economics and Business, vol. 2019(4), pages 40-54.
- Thomas Gries & Wim Naudé, 2022.
"Modelling artificial intelligence in economics,"
Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-13, December.
- Gries, Thomas & Naudé, Wim, 2021. "Modelling Artificial Intelligence in Economics," IZA Discussion Papers 14171, IZA Network @ LISER.
- Fossen, Frank M. & Sorgner, Alina, 2021. "Digitalization of work and entry into entrepreneurship," Journal of Business Research, Elsevier, vol. 125(C), pages 548-563.
- Charles M. A. Clark & Aleksandr V. Gevorkyan, 2020. "Artificial Intelligence and Human Flourishing," American Journal of Economics and Sociology, Wiley Blackwell, vol. 79(4), pages 1307-1344, September.
- Cockx, Bart & Lechner, Michael & Bollens, Joost, 2023.
"Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium,"
Labour Economics, Elsevier, vol. 80(C).
- Cockx, Bart & Lechner, Michael & Bollens, Joost, 2019. "Priority to Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium," IZA Discussion Papers 12875, IZA Network @ LISER.
- Cockx, Bart & Lechner, Michael & Bollens, Joost, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," ROA Research Memorandum 006, Maastricht University, Research Centre for Education and the Labour Market (ROA).
- Bart Cockx & Michael Lechner & Joost Bollens, 2020. "Priority of Unemployed Immigrants? A Causal Machine Learning Evaluation of Training in Belgium," CESifo Working Paper Series 8297, CESifo.
- Cockx, Bart & Lechner, Michael & Bollens, Joost, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Research Memorandum 015, Maastricht University, Graduate School of Business and Economics (GSBE).
- Bart Cockx & Michael Lechner & Joost Bollens, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/998, Ghent University, Faculty of Economics and Business Administration.
- Lechner, Michael & Cockx, Bart & Bollens, Joost, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," CEPR Discussion Papers 14270, C.E.P.R. Discussion Papers.
- Cockx, Bart & Lechner, Michael & Bollens, Joost, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Economics Working Paper Series 2001, University of St. Gallen, School of Economics and Political Science.
- Bart Cockx & Michael Lechner & Joost Bollens, 2019. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," Papers 1912.12864, arXiv.org, revised Dec 2022.
- Bart Cockx & Michael Lechner & Joost Bollens, 2020. "Priority to unemployed immigrants? A causal machine learning evaluation of training in Belgium," LIDAM Discussion Papers IRES 2020016, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- Belloc, Filippo & Burdin, Gabriel & Cattani, Luca & Ellis, William & Landini, Fabio, 2022.
"Coevolution of job automation risk and workplace governance,"
Research Policy, Elsevier, vol. 51(3).
- Filippo Belloc & Gabriel Burdin & Luca Cattani & William Ellis & Fabio Landini, 2020. "Coevolution of Job Automation Risk and Workplace Governance," Department of Economics University of Siena 841, Department of Economics, University of Siena.
- Belloc, Filippo & Burdin, Gabriel & Cattani, Luca & Ellis, William & Landini, Fabio, 2021. "Coevolution of Job Automation Risk and Workplace Governance," IZA Discussion Papers 14788, IZA Network @ LISER.
- Dmitry Sharapov & Paul Kattuman & Diego Rodriguez & F. Javier Velazquez, 2021. "Using the SHAPLEY value approach to variance decomposition in strategy research: Diversification, internationalization, and corporate group effects on affiliate profitability," Strategic Management Journal, Wiley Blackwell, vol. 42(3), pages 608-623, March.
- Buhl-Wiggers, Julie & Kerwin, Jason T. & Muñoz-Morales, Juan & Smith, Jeffrey & Thornton, Rebecca, 2024.
"Some children left behind: Variation in the effects of an educational intervention,"
Journal of Econometrics, Elsevier, vol. 243(1).
- Buhl-Wiggers, Julie & Kerwin, Jason & Muñoz-Morales, Juan S. & Smith, Jeffrey A. & Thornton, Rebecca L., 2020. "Some Children Left Behind: Variation in the Effects of an Educational Intervention," IZA Discussion Papers 13598, IZA Network @ LISER.
- Julie Buhl-Wiggers & Jason Kerwin & Juan Muñoz-Morales & Jeffrey Smith & Rebecca Thornton, 2022. "Some children left behind: Variation in the effects of an educational intervention," Post-Print hal-03972201, HAL.
- Julie Buhl-Wiggers & Jason T. Kerwin & Juan S. Muñoz-Morales & Jeffrey A. Smith & Rebecca Thornton, 2021. "Some Children Left Behind: Variation in the Effects of an Educational Intervention," NBER Working Papers 29459, National Bureau of Economic Research, Inc.
- Julie Buhl-Wiggers & Jason Kerwin & Juan Muñoz-Morales & Jeffrey Smith & Rebecca Thornton, 2024. "Some children left behind: Variation in the effects of an educational intervention," Post-Print hal-05495305, HAL.
- Damioli, G. & Van Roy, V. & Vertesy, D. & Vivarelli, M., 2021.
"May AI revolution be labour-friendly? Some micro evidence from the supply side,"
GLO Discussion Paper Series
823, Global Labor Organization (GLO).
- Damioli, Giacomo & Van Roy, Vincent & Vertesy, Daniel & Vivarelli, Marco, 2021. "May AI Revolution Be Labour-Friendly? Some Micro Evidence from the Supply Side," IZA Discussion Papers 14309, IZA Network @ LISER.
- Prithwiraj Choudhury & Dan Wang & Natalie A. Carlson & Tarun Khanna, 2019. "Machine learning approaches to facial and text analysis: Discovering CEO oral communication styles," Strategic Management Journal, Wiley Blackwell, vol. 40(11), pages 1705-1732, November.
- Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2022.
"Urban economics in a historical perspective: Recovering data with machine learning,"
Regional Science and Urban Economics, Elsevier, vol. 94(C).
- Gobillon, Laurent & Combes, Pierre-Philippe & Zylberberg, Yanos, 2020. "Urban economics in a historical perspective: Recovering data with machine learning," CEPR Discussion Papers 15308, Centre for Economic Policy Research.
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2021. "Urban economics in a historical perspective: Recovering data with machine learning," PSE Working Papers halshs-03231786, HAL.
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2021. "Urban economics in a historical perspective: Recovering data with machine learning," Working Papers halshs-03231786, HAL.
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2022. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," PSE-Ecole d'économie de Paris (Postprint) halshs-03673240, HAL.
- Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2021. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," IZA Discussion Papers 14392, IZA Network @ LISER.
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2022. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," Post-Print halshs-03673240, HAL.
- Pierre-Philippe Combes & Laurent Gobillon & Yanos Zylberberg, 2022. "Urban Economics in a Historical Perspective: Recovering Data with Machine Learning," Sciences Po Economics Publications (main) halshs-03673240, HAL.
- Yongtong Shao & Tao Xiong & Minghao Li & Dermot Hayes & Wendong Zhang & Wei Xie, 2021.
"China's Missing Pigs: Correcting China's Hog Inventory Data Using a Machine Learning Approach,"
American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 1082-1098, May.
- Shao, Yongtong & Xiong, Tao & Li, Minghao & Hayes, Dermot & Zhang, Wendong & Xie, Wei, 2020. "China's Missing Pigs: Correcting China's Hog Inventory Data Using a Machine Learning Approach," ISU General Staff Papers 202001010800001619, Iowa State University, Department of Economics.
- Yongtong Shao & Minghao Li & Dermot J. Hayes & Wendong Zhang & Tao Xiong & Wei Xie, 2020. "China's Missing Pigs: Correcting China's Hog Inventory Data Using a Machine Learning Approach," Center for Agricultural and Rural Development (CARD) Publications 20-wp607, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Arntz, Melanie & Gregory, Terry & Zierahn-Weilage, Ulrich, 2019.
"Digitalization and the Future of Work: Macroeconomic Consequences,"
IZA Discussion Papers
12428, IZA Network @ LISER.
- Arntz, Melanie & Gregory, Terry & Zierahn, Ulrich, 2019. "Digitalization and the future of work: Macroeconomic consequences," ZEW Discussion Papers 19-024, ZEW - Leibniz Centre for European Economic Research.
- Daisuke Miyakawa & Kohei Shintani, 2022.
"Disagreement between human and machine predictions,"
IFC Bulletins chapters, in: Bank for International Settlements (ed.), Machine learning in central banking, volume 57,
Bank for International Settlements.
- Daisuke Miyakawa & Kohei Shintani, 2020. "Disagreement between Human and Machine Predictions," IMES Discussion Paper Series 20-E-11, Institute for Monetary and Economic Studies, Bank of Japan.
- Fossen, Frank M. & Sorgner, Alina, 2019. "New Digital Technologies and Heterogeneous Employment and Wage Dynamics in the United States: Evidence from Individual-Level Data," IZA Discussion Papers 12242, IZA Network @ LISER.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020.
"Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market,"
CESifo Working Paper Series
8521, CESifo.
- Stephanie Assad & Robert Clark & Daniel Ershov & Lei Xu, 2020. "Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market," Working Paper 1438, Economics Department, Queen's University.
- Mario BENASSI & Elena GRINZA & Francesco RENTOCCHINI, 2019.
"The Rush for Patents in the Fourth Industrial Revolution: An Exploration of Patenting Activity at the European Patent Office,"
Departmental Working Papers
2019-01, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
- Mario Benassi & Elena Grinza & Francesco Rentocchini, 2019. "The Rush for Patents in the Fourth Industrial Revolution: An Exploration of Patenting Activity at the European Patent Office," SPRU Working Paper Series 2019-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
- Van Roy, Vincent & Vertesy, Daniel & Damioli, Giacomo, 2019. "AI and Robotics Innovation: a Sectoral and Geographical Mapping using Patent Data," GLO Discussion Paper Series 433, Global Labor Organization (GLO).
- Francesco Decarolis & Cristina Giorgiantonio, 2020. "Corruption red flags in public procurement: new evidence from Italian calls for tenders," Questioni di Economia e Finanza (Occasional Papers) 544, Bank of Italy, Economic Research and International Relations Area.
Corrections
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:nbr:nberch:14467. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/nberrus.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/h/nbr/nberch/14467.html