Summary of All Sessions |
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Click here for an index of all participants |
21 sessions, 57 papers, and 0 presentations with no associated papers |
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29th (EC)^2 on Big Data Econometrics with Applications |
Detailed List of Sessions |
Session 1: Registration December 13, 2018 8:30 to 9:00 |
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Session Chair: Giuseppe Bruno, Bank of Italy |
Session 2: Welcome Address - Senior Deputy Governor Salvatore Rossi December 13, 2018 9:00 to 9:15 |
Session Chair: Stefano Siviero, Banca d'Italia |
Session 3: Opening address December 13, 2018 9:15 to 9:25 |
Session Chairs: |
1. Peter Hansen, University of North Carolina at CH |
2. Mehmet Caner, Ohio State University |
3. Giuseppe Cavaliere, University of Bologna |
Session 4: Keynote Lecture - Stephen Hansen (Oxford University) - "Opening the Black-Box of Central Bank Communication" December 13, 2018 9:25 to 10:10 |
Session Chair: Stefano Siviero, Banca d'Italia |
Session 5: Coffee Break December 13, 2018 10:10 to 10:40 |
Session 6: Financial Econometrics I December 13, 2018 10:40 to 12:20 |
Session Chair: Giuseppe Cavaliere, University of Bologna |
Factor Models for Portfolio Selection in Large Dimensions |
By Gianluca De Nard; University of Zurich Olivier Ledoit; University of Zurich Michael Wolf; University of Zurich |
presented by: Michael Wolf, University of Zurich |
A Multi-Factor Realized GARCH with An Application to the Fama-French Model |
By Ilya Archakov; University of Vienna Peter Hansen; University of North Carolina at CH Asger Lunde; Aarhus University |
presented by: Ilya Archakov, University of Vienna |
Incremental Factor Model for High Frequency Observations with Large Dimension and Long Span |
By Ye Lu; University of Sydney Joon Park; Indiana University |
presented by: Ye Lu, University of Sydney |
Vector Autoregressive Model with Dynamic Factors |
By Federico Carlini; Università della Svizzera Italiana Patrick Gagliardini; Università della Svizzera italiana |
presented by: Federico Carlini, Università della Svizzera Italiana |
Session 7: Lunch and Poster Session 1 December 13, 2018 12:20 to 14:10 |
Prediction Bands for Yield Curves: A Dynamic Functional Factor Model Approach |
By Sven Otto; University of Cologne Nazarii Salish; Universidad Carlos III de Madrid |
presented by: Sven Otto, University of Cologne |
External Validity in Fuzzy Regression Discontinuity Designs |
By Marinho Bertanha; University of Notre Dame Guido Imbens; Stanford University |
presented by: Marinho Bertanha, University of Notre Dame |
Measuring Retail Trade Using Card Transactional Data |
By Tomasa Rodrigo; BBVA |
presented by: Tomasa Rodrigo, BBVA |
Detection of rare events: a machine learning toolkit with an application to banking crises |
By Jerome Coffinet; Banque de France |
presented by: Jerome Coffinet, Banque de France |
An automated approach towards sparse single-equation cointegration modelling |
By Stephan Smeekes; Maastricht University Etienne Wijler; Maastricht University |
presented by: Etienne Wijler, Maastricht University |
On LASSO for Predictive Regression |
By Ji Hyung Lee; University of Illinois Zhentao Shi; The Chinese University of Hong Kong |
presented by: Zhentao Shi, The Chinese University of Hong Kong |
Discover Regional and Size Effects in Global Bitcoin Blockchain via Sparse-Group Network AutoRegressive Modeling |
By Ying Chen; National University of Singapore Simon Trimborn |
presented by: Simon Trimborn, National University of Singapore |
Testing for observation-dependent regime switching in mixture autoregressive models |
By Mika Meitz; University of Helsinki Pentti Saikkonen; University of Helsinki |
presented by: Mika Meitz, University of Helsinki |
Inference in Misspecified Asset Pricing Models using a Large Matching Model |
By Bertille Antoine; Simon Fraser University |
presented by: Bertille Antoine, Simon Fraser University |
Session 8: Keynote Lecture - Marcelo Medeiros (PUC, Rio) - "Forecasting Macroeconomic Variables with Big Data and Machine Learning Methods" December 13, 2018 14:10 to 14:55 |
Session Chair: Malene Kallestrup-Lamb, Aarhus University |
Session 9: High Dimensions in Econometrics December 13, 2018 14:55 to 16:35 |
Session Chair: Viktor Todorov, Northwestern University |
A regularization approach for estimation and variable selection in high dimensional regression |
By Yiannis Dendramis; Athens University of Economics and Business Liudas Giraitis; Queen Mary University George Kapetanios; King's |
presented by: Yiannis Dendramis, Athens University of Economics and Business |
Locally Robust Semiparametric Estimation |
By Juan Carlos Escanciano; Universidad Carlos III de Madrid |
presented by: Juan Carlos Escanciano, Universidad Carlos III de Madrid |
Recovering Social Networks from Panel Data: Identification, Simulations and an Application |
By Pedro CL Souza; University of Warwick |
presented by: Pedro CL Souza, University of Warwick |
Penalized maximum likelihood estimation of finite mixture models |
By Sofya Budanova; NRU HSE |
presented by: Sofya Budanova, NRU HSE |
Session 10: Coffee Break and Poster Session 2 December 13, 2018 16:35 to 17:45 |
Central Bank Communication and the Yield Curve: A Semi-Automatic Approach using Non-Negative Matrix Factorization |
By Ancil Crayton; University College Dublin |
presented by: Ancil Crayton, University College Dublin |
Measuring Property Price Variations Using Online Property Advertisements |
By Indranil Gayen; Reserve Bank of India |
presented by: Indranil Gayen, Reserve Bank of India |
Quantifying social segregation in large-scale networks |
By Jo Thori Lind; University of Oslo |
presented by: Jo Thori Lind, University of Oslo |
Regime Changes in Large Dimensional Factor Models: A New Test with an Application to Portfolio Choice |
By Daniele Massacci; Bank of England |
presented by: Daniele Massacci, Bank of England |
News and Consumer Card Payments |
By Guerino Ardizzi; Banca d'Italia Simone Emiliozzi; Banca d'Italia Juri Marcucci; Bank of Italy Libero Monteforte; Parliamentary Budget Office |
presented by: Simone Emiliozzi, Banca d'Italia |
Concentration and Internet Advertising: The Rise of Buyer Power |
By Francesco Decarolis; Bocconi University Gabriele Rovigatti; Universita' di Roma Tor Vergata |
presented by: Gabriele Rovigatti, Universita' di Roma Tor Vergata |
Granger causality testing in mixed-frequency VARs with possibly (co)integrated processes |
By Thomas Götz; Deutsche Bundesbank Alain Hecq; Maastricht University |
presented by: Thomas Götz, Deutsche Bundesbank |
Monetary Policy across Space and Time |
By Katerina Petrova; University of St Andrews |
presented by: Katerina Petrova, University of St Andrews |
Estimating a Large-Dimensional Factor Model with Noisy High-Frequency Data |
By Yucheng Sun; Capital University of Economics and Business Wen Xu; Capital University of Economics and Business |
presented by: Wen Xu, Capital University of Economics and Business |
A New Parametrization of Correlation Matrices |
By Ilya Archakov; University of Vienna Peter Hansen; University of North Carolina at CH |
presented by: Peter Hansen, University of North Carolina at CH |
Session 11: Time Series and Networks December 13, 2018 17:45 to 19:00 |
Session Chair: Gianluca Cubadda, Università di Roma |
Community Detection in Large Vector Autoregressions |
By Gudmundur Stefan Guðmundsson; CREATES and Department of Economics and Business Economics, Aarhus University Christian Brownlees; Universitat Pompeu Fabra |
presented by: Christian Brownlees, Universitat Pompeu Fabra |
Large scale panel choice model with unobserved heterogeneity |
By Tomohiro Ando; University of Melbourne Jushan Bai; Columbia University |
presented by: Tomohiro Ando, University of Melbourne |
Bond Risk Premia with Machine Learning |
By Daniele Bianchi; University of Warwick Matthias Buechner; University of Warwick andrea tamoni; LSE |
presented by: Matthias Buechner, University of Warwick |
Session 12: Social Dinner December 13, 2018 20:00 to 22:30 |
Session 13: Social Media and Big Data for Policy December 14, 2018 9:00 to 10:15 |
Session Chair: Cathy Yi-Hsuan Chen, Humboldt-Universität |
Machine Learning in the Service of Policy Targeting: The Case of Public Credit Guarantees |
By Monica Andini; Bank of Italy Michela Boldrini; University of Bologna Emanuele Ciani; Bank of Italy Alessio D'Ignazio; Bank of Italy Guido de Blasio; Bank of Italy Andrea Paladini; Università di Roma La Sapienza |
presented by: Emanuele Ciani, Bank of Italy |
Questioning the news about economic growth: Sparse forecasting using thousands of news-based sentiment values |
By Keven Bluteau; University of Neuchâtel |
presented by: Keven Bluteau, University of Neuchâtel |
Can we measure inflation expectations using Twitter? |
By Cristina Angelico; Bank of Italy Juri Marcucci Marcello Miccoli; Bank of Italy Filippo Quarta; Banca d'Italia |
presented by: Cristina Angelico, Bank of Italy |
Session 14: Coffee Break December 14, 2018 10:15 to 10:50 |
Session 15: Keynote Lecture - Anders B. Kock (Oxford University) - "Power in High-Dimensional Testing Problems" December 14, 2018 10:50 to 11:35 |
Session Chair: Mehmet Caner, Ohio State University |
Session 16: Microeconometrics December 14, 2018 11:35 to 13:15 |
Session Chair: Viktor Todorov, Northwestern University |
The Role of the Propensity Score in Fixed Effect Models |
By Dmitry Arkhangelsky; CEMFI Guido Imbens; Stanford University |
presented by: Dmitry Arkhangelsky, CEMFI |
Central Bank Policies and Financial Markets: Lessons from the Euro Crisis |
By Ashoka Mody; International Monetary Fund Milan Nedeljkovic; National Bank of Serbia; CESifo |
presented by: Milan Nedeljkovic, National Bank of Serbia; CESifo |
Lassoing and Boosting The Causal Effects of The Retirement Decision on Health |
By Nikolaj Hansen; Aarhus University Malene Kallestrup-Lamb; Aarhus University Anders Kock; University of Oxford |
presented by: Nikolaj Hansen, Aarhus University |
Bayesian dynamic tensor regression |
By Monica Billio; Università Ca' Foscari Venezia Roberto Casarin; University Cà Foscari of Venice Sylvia Kaufmann; Study Center Gerzensee Matteo Iacopini; Ca' Foscari University of Venice |
presented by: Matteo Iacopini, Ca' Foscari University of Venice |
Session 17: Lunch and Poster Session 3 December 14, 2018 13:15 to 14:35 |
A regularized structural factor-augmented vector autoregressive model |
By Maurizio Daniele; University of Konstanz Julie Schnaitmann; University of Konstanz |
presented by: Maurizio Daniele, University of Konstanz |
The Heterogeneous Impact of Sugar Taxes on Cola Demand across Different Household Types |
By Valerio Serse; UCLouvain |
presented by: Valerio Serse, UCLouvain |
Cluster-robust Standard Errors for Linear Regression Models with Many Controls |
By Riccardo D'Adamo; University College London |
presented by: Riccardo D'Adamo, University College London |
Inflation and Economic Growth: Random Forest Methodology |
By Sidika Basci; Yıldırım Beyazıt University, Ankara, Turkey and EISTI, Cergy, France Houcine Senoussi; Cergy, France |
presented by: Sidika Basci, Yıldırım Beyazıt University, Ankara, Turkey and EISTI, Cergy, France |
Shapley regressions: A tool for statistical inference on machine learning models |
By Andreas Joseph; Bank of England |
presented by: Andreas Joseph, Bank of England |
ICOs success drivers: a textual and statistical analysis |
By paola Cerchiello; University of Pavia Anca Toma; University of Pavia |
presented by: Anca Toma, University of Pavia |
Loan screening and default prediction with Machine Learning and Deep Neural Networks |
By Jeremy Turiel; University College London Tomaso Aste; University College London |
presented by: Jeremy Turiel, University College London |
Variance Dynamics in Term Structure Models |
By CISIL SARISOY; Board of Governors of the Federal Reserve System |
presented by: CISIL SARISOY, Board of Governors of the Federal Reserve System |
Session 18: Financial Econometrics II December 14, 2018 14:35 to 16:15 |
Session Chair: Gianluca Cubadda, Università di Roma |
Nonparametric Option-Implied Volatility |
By Viktor Todorov; Northwestern University |
presented by: Viktor Todorov, Northwestern University |
The Cross-sectional Distribution of Mutual Fund Skill |
By Laurent Barras; McGill University Patrick Gagliardini; Università della Svizzera italiana Oliver Scaillet; University of Geneve and Seiss Finance Institute |
presented by: Laurent Barras, McGill University |
Detecting Regimes of Predictability in the U.S. Equity Premium |
By David Harvey; University of Nottingham Steve Leybourne; Nottingham University Robert Sollis; Newcastle University Robert Taylor; University of Essex |
presented by: Robert Taylor, University of Essex |
High-dimensional predictive regression in the presence of cointegration |
By Bonsoo Koo; Monash University Heather Anderson; Monash University Myung Hwan Seo; Seoul National University Wenying Yao; Deakin University |
presented by: Wenying Yao, Deakin University |
Session 19: Coffee Break and Poster Session 4 December 14, 2018 16:15 to 17:25 |
Home is where the ad is: online interest proxies housing demand |
By Marco Pangallo; University of Oxford Michele Loberto; Banca d'Italia |
presented by: Michele Loberto, Banca d'Italia |
Granger Causality Testing in High-Dimensional VARs: a Post-Double-Selection Procedure |
By Alain Hecq; Maastricht University Luca Margaritella; Maastricht University Stephan Smeekes; Maastricht University |
presented by: Luca Margaritella, Maastricht University |
A dynamic factor model approach to incorporate Big Data in state space models for official statistics. |
By Caterina Schiavoni; Maastricht University Franz Palm; Maastricht University Stephan Smeekes; Maastricht University Jan van den Brakel; Statistics Netherlands |
presented by: Caterina Schiavoni, Maastricht University |
Cointegration in functional autoregressive processes |
By Massimo Franchi; Sapienza University of Rome Paolo Paruolo; European Commission - Joint Research Centre |
presented by: Massimo Franchi, Sapienza University of Rome |
Representation, Estimation and Forecasting of the Multivariate Index-Augmented Autoregressive Model |
By Gianluca Cubadda; Università di Roma Barbara Guardabascio; Italian National italian Institute of Statistics (istat) |
presented by: Gianluca Cubadda, Università di Roma |
Classifying Firms with Text Mining |
By Giacomo Caterini; University of Trento |
presented by: Giacomo Caterini, University of Trento |
Semiparametric estimation of the relationship between recessions and health |
By Marta Boczon; University of Pittsburgh |
presented by: Marta Boczon, University of Pittsburgh |
An Orthogonal Approach to Inference for Deep Learning |
By Alex Parret; UCI |
presented by: Alex Parret, UCI |
Session 20: Round Table: Publishing in Econometrics December 14, 2018 17:25 to 18:00 |
Session Chair: Mehmet Caner, Ohio State University |
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Discussants: 1 Peter Hansen, University of North Carolina at CH 2 Viktor Todorov, Northwestern University 3 Giuseppe Cavaliere, University of Bologna 4 Juan Carlos Escanciano, Universidad Carlos III de Madrid 5 Robert Taylor, University of Essex 6 Marcelo Medeiros, Pontifical Catholic University of Rio de Janeiro |
Session 21: Farewell and Aperitivo December 14, 2018 18:00 to 18:30 |
Session Chairs: |
1. Mehmet Caner, Ohio State University |
2. Peter Hansen, University of North Carolina at CH |
3. Giuseppe Cavaliere, University of Bologna |
# | Participant | Roles in Conference |
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1 | Ando, Tomohiro | P11 |
2 | Angelico, Cristina | P13 |
3 | Antoine, Bertille | P7 |
4 | Archakov, Ilya | P6 |
5 | Arkhangelsky, Dmitry | P16 |
6 | Barras, Laurent | P18 |
7 | Basci, Sidika | P17 |
8 | Bertanha, Marinho | P7 |
9 | Bluteau, Keven | P13 |
10 | Boczon, Marta | P19 |
11 | Brownlees, Christian | P11 |
12 | Bruno, Giuseppe | C1 |
13 | Budanova, Sofya | P9 |
14 | Buechner, Matthias | P11 |
15 | Caner, Mehmet | C3, C15, C20, C21 |
16 | Carlini, Federico | P6 |
17 | Caterini, Giacomo | P19 |
18 | Cavaliere, Giuseppe | C3, C6, D20, C21 |
19 | Chen, Cathy Yi-Hsuan | C13 |
20 | Ciani, Emanuele | P13 |
21 | CL Souza, Pedro | P9 |
22 | Coffinet, Jerome | P7 |
23 | Crayton, Ancil | P10 |
24 | Cubadda, Gianluca | C11, C18, P19 |
25 | D'Adamo, Riccardo | P17 |
26 | Daniele, Maurizio | P17 |
27 | Dendramis, Yiannis | P9 |
28 | Emiliozzi, Simone | P10 |
29 | Escanciano, Juan Carlos | P9, D20 |
30 | Franchi, Massimo | P19 |
31 | Gayen, Indranil | P10 |
32 | Götz, Thomas | P10 |
33 | Hansen, Nikolaj | P16 |
34 | Hansen, Peter | C3, P10, D20, C21 |
35 | Iacopini, Matteo | P16 |
36 | Joseph, Andreas | P17 |
37 | Kallestrup-Lamb, Malene | C8 |
38 | Lind, Jo Thori | P10 |
39 | Loberto, Michele | P19 |
40 | Lu, Ye | P6 |
41 | Margaritella, Luca | P19 |
42 | Massacci, Daniele | P10 |
43 | Medeiros, Marcelo | D20 |
44 | Meitz, Mika | P7 |
45 | Nedeljkovic, Milan | P16 |
46 | Otto, Sven | P7 |
47 | Parret, Alex | P19 |
48 | Petrova, Katerina | P10 |
49 | Rodrigo, Tomasa | P7 |
50 | Rovigatti, Gabriele | P10 |
51 | SARISOY, CISIL | P17 |
52 | Schiavoni, Caterina | P19 |
53 | Serse, Valerio | P17 |
54 | Shi, Zhentao | P7 |
55 | Siviero, Stefano | C2, C4 |
56 | Taylor, Robert | P18, D20 |
57 | Todorov, Viktor | C9, C16, P18, D20 |
58 | Toma, Anca | P17 |
59 | Trimborn, Simon | P7 |
60 | Turiel, Jeremy | P17 |
61 | Wijler, Etienne | P7 |
62 | Wolf, Michael | P6 |
63 | Xu, Wen | P10 |
64 | Yao, Wenying | P18 |
This program was last updated on 2018-12-10 12:26:28 EDT