Hamiltonian Monte Carlo for Regression with High-Dimensional Categorical Data
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- Bertsch, Christoph & Hull, Isaiah & Zhang, Xin, 2021.
"Narrative fragmentation and the business cycle,"
Economics Letters, Elsevier, vol. 201(C).
- Bertsch, Christoph & Hull, Isaiah & Zhang, Xin, 2021. "Narrative Fragmentation and the Business Cycle," Working Paper Series 401, Sveriges Riksbank (Central Bank of Sweden).
- Matthew Gentzkow & Bryan Kelly & Matt Taddy, 2019. "Text as Data," Journal of Economic Literature, American Economic Association, vol. 57(3), pages 535-574, September.
- Evan Munro & Serena Ng, 2022.
"Latent Dirichlet Analysis of Categorical Survey Responses,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 256-271, January.
- Evan Munro & Serena Ng, 2019. "Latent Dirichlet Analysis of Categorical Survey Responses," Papers 1910.04883, arXiv.org, revised Jul 2020.
- Oriana Bandiera & Andrea Prat & Stephen Hansen & Raffaella Sadun, 2020.
"CEO Behavior and Firm Performance,"
Journal of Political Economy, University of Chicago Press, vol. 128(4), pages 1325-1369.
- Oriana Bandiera & Stephen Hansen & Andrea Prat & Raffaella Sadun, 2017. "CEO Behavior and Firm Performance," NBER Working Papers 23248, National Bureau of Economic Research, Inc.
- Bandiera, Oriana & Prat, Andrea & Hansen, Stephen & Sadun, Raffaella, 2020. "CEO behavior and firm performance," LSE Research Online Documents on Economics 101423, London School of Economics and Political Science, LSE Library.
- Prat, Andrea & Hansen, Stephen & Sadun, Raffaella & Bandiera, Oriana, 2017. "CEO Behavior and Firm Performance," CEPR Discussion Papers 11960, C.E.P.R. Discussion Papers.
- Stephen Hansen & Michael McMahon, 2016.
"Shocking Language: Understanding the Macroeconomic Effects of Central Bank Communication,"
NBER Chapters, in: NBER International Seminar on Macroeconomics 2015,
National Bureau of Economic Research, Inc.
- Hansen, Stephen & McMahon, Michael, 2016. "Shocking language: Understanding the macroeconomic effects of central bank communication," Journal of International Economics, Elsevier, vol. 99(S1), pages 114-133.
- Hansen, Stephen & McMahon, Michael, 2015. "Shocking language: Understanding the macroeconomic effects of central bank communication," The Warwick Economics Research Paper Series (TWERPS) 1098, University of Warwick, Department of Economics.
- Hansen, Stephen & McMahon, Michael, 2015. "Shocking language: Understanding the macroeconomic effects of central bank communication," Economic Research Papers 269727, University of Warwick - Department of Economics.
- Stephen Hansen & Michael McMahon, 2015. "Shocking Language: Understanding the macroeconomic effects of central bank communication," Discussion Papers 1537, Centre for Macroeconomics (CFM).
- McMahon, Michael & Hansen, Stephen, 2015. "Shocking language: Understanding the macroeconomic effects of central bank communication," CEPR Discussion Papers 11018, C.E.P.R. Discussion Papers.
- Stephen Hansen & Michael McMahon, 2016. "Shocking language: understanding the macroeconomic effects of central bank communication," CAMA Working Papers 2016-04, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
- Hansen, Stephen & McMahon, Michael, 2015. "Shocking language: Understanding the macroeconomic effects of central bank communication," CAGE Online Working Paper Series 258, Competitive Advantage in the Global Economy (CAGE).
- Hansen, Stephen & McMahon, Michael, 2015. "Shocking language: Understanding the macroeconomic effects of central bank communication," LSE Research Online Documents on Economics 86247, London School of Economics and Political Science, LSE Library.
- Carpenter, Bob & Gelman, Andrew & Hoffman, Matthew D. & Lee, Daniel & Goodrich, Ben & Betancourt, Michael & Brubaker, Marcus & Guo, Jiqiang & Li, Peter & Riddell, Allen, 2017. "Stan: A Probabilistic Programming Language," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i01).
- Stephen Hansen & Michael McMahon & Andrea Prat, 2018.
"Transparency and Deliberation Within the FOMC: A Computational Linguistics Approach,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(2), pages 801-870.
- Stephen Eliot Hansen & Michael McMahon & Andrea Prat, 2014. "Transparency and deliberation within the FOMC: A computational linguistics approach," Economics Working Papers 1425, Department of Economics and Business, Universitat Pompeu Fabra.
- Andrea Prat & Michael McMahon & Stephen E. Hansen, 2015. "Transparency and Deliberation within the FOMC: a Computational Linguistics Approach," Working Papers 762, Barcelona School of Economics.
- Hansen, Stephen & McMahon, Michael & Prat, Andrea, 2014. "Transparency and deliberation within the FOMC: a computational linguistics approach," LSE Research Online Documents on Economics 58072, London School of Economics and Political Science, LSE Library.
- Stephen Hansen & Michael McMahon & Andrea Prat, 2014. "Transparency and Deliberation within the FOMC: A Computational Linguistics Approach," CEP Discussion Papers dp1276, Centre for Economic Performance, LSE.
- Prat, Andrea & McMahon, Michael & Hansen, Stephen, 2014. "Transparency and Deliberation within the FOMC: a Computational Linguistics Approach," CEPR Discussion Papers 9994, C.E.P.R. Discussion Papers.
- Hansen, Stephen & McMahon, Michael & Prat, Andrea, 2014. "Transparency and deliberation within the FOMC: a computational linguistics approach," LSE Research Online Documents on Economics 60287, London School of Economics and Political Science, LSE Library.
- Stephen Hansen & Michael McMahon & Andrea Prat, 2014. "Transparency and Deliberation within the FOMC: a Computational Linguistics Approach," Discussion Papers 1411, Centre for Macroeconomics (CFM).
- J. Ignacio Conde-Ruiz & Juan José Ganuza & Manu Garcia & Luis A. Puch, 2021.
"Gender distribution across topics in Top 5 economics journals: A machine learning approach,"
Economics Working Papers
1771, Department of Economics and Business, Universitat Pompeu Fabra.
- J. Ignacio Conde-Ruiz & Juan José Ganuza & Manu García & Luis A. Puch, 2021. "Gender Distribution across Topics in Top 5 Economics Journals: A Machine Learning Approach," Working Papers 2021-07, FEDEA.
- J. Ignacio Conde-Ruiz & Luis A. Puch & Juan-José Ganuza, 2021. "Gender Distribution across Topics in Top 5 Economics Journals: A Machine Learning Approach," Working Papers 1241, Barcelona School of Economics.
- J.Ignacio Conde-Ruiz & Juan-José Ganuza & Manu García & Luis A. Puch, 2021. "Gender Distribution across Topics in the Top 5 Economics Journals: A Machine Learning Approach," Documentos de Trabajo del ICAE 2021-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Mueller, Hannes & Rauh, Christopher, 2018.
"Reading Between the Lines: Prediction of Political Violence Using Newspaper Text,"
American Political Science Review, Cambridge University Press, vol. 112(2), pages 358-375, May.
- Mueller, Hannes & Rauh, Christopher, 2016. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," CEPR Discussion Papers 11516, C.E.P.R. Discussion Papers.
- Hannes Mueller, 2017. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," Working Papers 990, Barcelona School of Economics.
- Hannes Mueller & Christopher Rauh, 2016. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," Empirical Studies of Conflict Project (ESOC) Working Papers 2, Empirical Studies of Conflict Project.
- Hannes Mueller & Christopher Rauh, 2016. "Reading Between the Lines: Prediction of Political Violence Using Newspaper Text," Cambridge Working Papers in Economics 1630, Faculty of Economics, University of Cambridge.
- Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc & Villani, Mattias, 2019. "Hamiltonian Monte Carlo with Energy Conserving Subsampling," Working Paper Series 372, Sveriges Riksbank (Central Bank of Sweden).
- Evan M. Munro & Serena Ng, 2020. "Latent Dirichlet Analysis of Categorical Survey Expectations," NBER Working Papers 27182, National Bureau of Economic Research, Inc.
- Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2020.
"News Media vs. FRED-MD for Macroeconomic Forecasting,"
CESifo Working Paper Series
8639, CESifo.
- Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "News media vs. FRED-MD for macroeconomic forecasting," Working Papers No 08/2020, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Jon Ellingsen & Vegard H. Larsen & Leif Anders Thorsrud, 2020. "News media vs. FRED-MD for macroeconomic forecasting," Working Paper 2020/14, Norges Bank.
- Nimark, Kristoffer P. & Pitschner, Stefan, 2019. "News media and delegated information choice," Journal of Economic Theory, Elsevier, vol. 181(C), pages 160-196.
- Leif Anders Thorsrud, 2020.
"Words are the New Numbers: A Newsy Coincident Index of the Business Cycle,"
Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 393-409, April.
- Leif Anders Thorsrud, 2016. "Words are the new numbers: A newsy coincident index of business cycles," Working Paper 2016/21, Norges Bank.
- Leif Anders Thorsrud, 2016. "Words are the new numbers: A newsy coincident index of business cycles," Working Papers No 4/2016, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
- Hansen, Stephen & McMahon, Michael & Tong, Matthew, 2019.
"The long-run information effect of central bank communication,"
Journal of Monetary Economics, Elsevier, vol. 108(C), pages 185-202.
- McMahon, Michael & , & Tong, Matthew, 2019. "The Long-Run Information Effect of Central Bank Communication," CEPR Discussion Papers 13438, C.E.P.R. Discussion Papers.
- Hansen, Stephen & McMahon, Michael & Tong, Matthew, 2019. "The long-run information effect of central bank communication," Bank of England working papers 777, Bank of England.
- Hansen, Stephen & McMahon, Michael & Tong, Matthew, 2020. "The long-run information effect of central bank communication," Working Paper Series 2363, European Central Bank.
- Adams, Renée B. & Ragunathan, Vanitha & Tumarkin, Robert, 2021. "Death by committee? An analysis of corporate board (sub-) committees," Journal of Financial Economics, Elsevier, vol. 141(3), pages 1119-1146.
- Mirko Draca & Carlo Schwarz, 2024.
"How Polarised are Citizens? Measuring Ideology from the Ground up,"
The Economic Journal, Royal Economic Society, vol. 134(661), pages 1950-1984.
- Draca, Mirko & Schwarz, Carlo, 2019. "How Polarized are Citizens? Measuring Ideology from the Ground-Up," The Warwick Economics Research Paper Series (TWERPS) 1218, University of Warwick, Department of Economics.
- Draca, Mirko & Schwarz, Carlo, 2021. "How Polarized are Citizens? Measuring Ideology from the Ground-Up," QAPEC Discussion Papers 07, Quantitative and Analytical Political Economy Research Centre.
- Draca, Mirko & Schwarz, Carlo, 2019. "How Polarized are Citizens? Measuring Ideology from the Ground-Up," CAGE Online Working Paper Series 432, Competitive Advantage in the Global Economy (CAGE).
- Nimczik, Jan Sebastian, 2017. "Job Mobility Networks and Endogenous Labor Markets," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168147, Verein für Socialpolitik / German Economic Association.
- Leland Bybee & Bryan T. Kelly & Asaf Manela & Dacheng Xiu, 2020. "The Structure of Economic News," NBER Working Papers 26648, National Bureau of Economic Research, Inc.
- Margaret E. Roberts & Brandon M. Stewart & Dustin Tingley & Christopher Lucas & Jetson Leder‐Luis & Shana Kushner Gadarian & Bethany Albertson & David G. Rand, 2014. "Structural Topic Models for Open‐Ended Survey Responses," American Journal of Political Science, John Wiley & Sons, vol. 58(4), pages 1064-1082, October.
- Kathleen Weiss Hanley & Gerard Hoberg, 2019. "Dynamic Interpretation of Emerging Risks in the Financial Sector," The Review of Financial Studies, Society for Financial Studies, vol. 32(12), pages 4543-4603.
- Margaret E. Roberts & Brandon M. Stewart & Edoardo M. Airoldi, 2016. "A Model of Text for Experimentation in the Social Sciences," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 988-1003, July.
- Rachael Meager, 2019. "Understanding the Average Impact of Microcredit Expansions: A Bayesian Hierarchical Analysis of Seven Randomized Experiments," American Economic Journal: Applied Economics, American Economic Association, vol. 11(1), pages 57-91, January.
- Larsen, Vegard H. & Thorsrud, Leif A., 2019. "The value of news for economic developments," Journal of Econometrics, Elsevier, vol. 210(1), pages 203-218.
- Meager, Rachael, 2019. "Understanding the average impact of microcredit expansions: a Bayesian hierarchical analysis of seven randomized experiments," LSE Research Online Documents on Economics 88190, London School of Economics and Political Science, LSE Library.
- Draca, Mirko & Schwarz, Carlo, 2021. "How Polarized are Citizens? Measuring Ideology from the Ground-Up," The Warwick Economics Research Paper Series (TWERPS) 07, University of Warwick, Department of Economics.
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This paper has been announced in the following NEP Reports:- NEP-CMP-2021-08-09 (Computational Economics)
- NEP-ECM-2021-08-09 (Econometrics)
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