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Bernheim, Bert Douglas Camerer, Colin Helpman, Elhanan Cantillon, Estelle Frydman, Cary Rayo, Luis Smith, Alec Bossaerts, Peter L. Barberis, Nicholas Conley, John P. Ledyard, John O. Sargent, Thomas J. Zeckhauser, Richard Glimcher, Paul W. Armel, K. Carrie King, Lindsay M. Bushong, Benjamin Koch, Christof Nagel, Rosemarie Reutskaja, Elena Fehr, Ernst Rayo, Luis Navalpakkam, Vidhya Milosavljevic, Milica Naecker, Jeffrey Bjorkegren, Daniel Krajbich, Ian Porter, David P. All co-authors intergenerational generations
Composed future generations behavioral economics tax base protect future intergenerational equity public goods overlapping generations Öffentliche güter consumer behaviour offenbarte präferenzen revealed preferences forward backward backward intergenerational intergenerational goods behavioral public public economics generations using welfare economics adjusting new new technology technology experience experience training intergenerational public
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The information on the author is retrieved from: Entity Facts (by DNB = German National Library data service), DBPedia and Wikidata
Antonio Rangel Prof. Dr. Alternative spellings: A. Rangel Biblio: Div. of Humanities and Social Sciences & Computational and Neural Systems, Pasadena, Calif., USA
Profession Economist
Affiliations California Institute of Technology Stanford University. Department of Economics Harvard University National Bureau of Economic Research
Publishing years Series Working paper / National Bureau of Economic Research, Inc. (11) NBER Working Paper (8) Discussion papers / Stanford Institute for Economic Policy Research (2) Technical working paper / National Bureau of Economic Research (1) NBER working paper series (1) Cowles Foundation discussion paper (1) Discussion paper series / Stanford Institute for Economic Policy Research (1) Discussion paper series / Harvard Institute of Economic Research (1) Working paper (1) Discussion paper / Centre for Economic Policy Research (1) Market design and the spectrum auctions (1) 
The result list below will be reduced to the selected search terms. The terms are generated from the titles, abstracts and STW thesaurus of publications by the respective author.
