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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
(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
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 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.
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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.