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Cantoni, Davide, Dittmar, Jeremiah ORCID: 0000-0002-3930-4496 and Yuchtman, Noam ORCID: 0009-0003-6501-9618 (2018) Religious competition and reallocation: the political economy of secularization in the Protestant Reformation. Quarterly Journal of Economics, 133 (4). 2037 - 2096. ISSN 0033-5533
Dittmar, Jeremiah ORCID: 0000-0002-3930-4496 (2019) Book prices in early modern Europe: an economic perspective. In: Graheli, Shanti, (ed.) Buying and Selling: The Business of Books in Early Modern Europe. Library of the Written Word - The Handpress World (72). Brill Academic Publishers, Leiden, NL, 72 - 87. ISBN 9789004340329
Dittmar, Jeremiah ORCID: 0000-0002-3930-4496 and Seabold, Skipper (2019) New media and competition: printing and Europe's transformation after Gutenberg. CEP Discussion Papers (CEPDP1600). London School of Economics and Political Science. Centre for Economic Performance, London, UK.
Dittmar, Jeremiah ORCID: 0000-0002-3930-4496 and Meisenzahl, Ralf R. (2016) State capacity and public goods: institutional change,human capital and growth in early modern Germany. CEP Discussion Paper (1418). London School of Economics and Political Science. Centre for Economic Performance, London, UK.
Dittmar, Jeremiah ORCID: 0000-0002-3930-4496 and Seabold, Skipper (2015) Media, markets and institutional change: evidence from the Protestant Reformation. CEP Discussion Papers (CEPDP1367). London School of Economics and Political Science. Centre for Economic Performance, London, UK.
Dittmar, Jeremiah ORCID: 0000-0002-3930-4496 (2015) New media, competition and growth: European cities after Gutenberg. CEP Discussion Papers (CEPDP1365). London School of Economics and Political Science. Centre for Economic Performance, London, UK.
Dittmar, Jeremiah ORCID: 0000-0002-3930-4496 (2013) New media, firms, ideas, and growth: European cities after Gutenberg. . National Bureau of Economic Research, Cambridge, USA.
Wang, William Yang, Mayfield, Elijah, Naidu, Suresh and Dittmar, Jeremiah ORCID: 0000-0002-3930-4496 (2012) Historical analysis of legal opinions with a sparse mixed-effects latent variable model. . Association for Computational Linguistics, Stroudsburg, USA.