Research classified by Journal of Economic Literature (JEL) codes

1. Nowcasting
2. Bayesian Vector autoregressions (BVARs)
3. Dynamic Factor Models

2023

• Martin O’Connell & Howard Smith & Øyvind Thomassen, 2023, "A two sample size estimator for large data sets," Economics Series Working Papers, University of Oxford, Department of Economics, number 1001, Feb.
• Chengyan Gu, 2023, "Market segmentation and dynamic price discrimination in the U.S. airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, volume 22, issue 5, pages 338-361, October, DOI: 10.1057/s41272-022-00407-5.
• Mansur, Alfan & Nizar, Muhammad Afdi, 2023, "Supply-leading or demand-following financial sector and economic development nexus: evidence from data-rich Indonesia," MPRA Paper, University Library of Munich, Germany, number 119132, Nov, revised 10 Nov 2023.
• Pal, Hemendra, 2023, "The Impact of Russia-Ukraine conflict on Global Commodity Brent Crude Prices," MPRA Paper, University Library of Munich, Germany, number 124770, Aug, revised 02 Oct 2024.
• Milan Cibuľa & Michal Tkáč, 2023, "Porovnanie algoritmov strojového učenia pre tvorbu predikčného modelu ceny bitcoinu
  [Comparison of Machine Learning Algorithms for Creation of a Bitcoin Price Prediction Model]," Politická ekonomie, Prague University of Economics and Business, volume 2023, issue 5, pages 496-517, DOI: 10.18267/j.polek.1397.
• Teona Shugliashvili, 2023, "The words have power: the impact of news on exchange rates," FFA Working Papers, Prague University of Economics and Business, number 5.006, Jun, revised 31 Jul 2023.
• António Rua & Nuno Lourenço & João Quelhas, 2023, "Navigating with a compass: Charting the course of underlying inflation," Working Papers, Banco de Portugal, Economics and Research Department, number w202317.
• Jonathan Hambur, 2023, "Did Labour Market Concentration Lower Wages Growth Pre-COVID?," RBA Research Discussion Papers, Reserve Bank of Australia, number rdp2023-02, Mar, DOI: 10.47688/rdp2023-02.
• Jonathan Hambur & Dan Andrews, 2023, "Doing Less, with Less: Capital Misallocation, Investment and the Productivity Slowdown in Australia," RBA Research Discussion Papers, Reserve Bank of Australia, number rdp2023-03, Mar, DOI: 10.47688/rdp2023-03.
• Maximo Camacho & Andres Romeu, 2023, "Tourism and Gross Domestic Product short-run causality revisited: A symbolic transfer entropy approach," Tourism Economics, , volume 29, issue 1, pages 235-247, February, DOI: 10.1177/13548166211045756.
• Jan Janků & Zuzana KuÄ erová & FrantiÅ¡ek DaÅ™ena, 2023, "Behavioral Insights from Crowdfunding Financing: What Do Social Media Ties, Emotional Cues and Sentiment Tell Us?," Journal of Economics / Ekonomicky casopis, Institute of Economic Research, Slovak Academy of Sciences, volume 71, issue 2, pages 89-118, February.
• Laura Felber & Simon Beyeler, 2023, "Nowcasting economic activity using transaction payments data," Working Papers, Swiss National Bank, number 2023-01.
• Marie-Catherine Bieri, 2023, "Assessing economic sentiment with newspaper text indices: evidence from Switzerland," Working Papers, Swiss National Bank, number 2023-07.
• Byron Botha & Rulof Burger & Kevin Kotzé & Neil Rankin & Daan Steenkamp, 2023, "Big data forecasting of South African inflation," Empirical Economics, Springer, volume 65, issue 1, pages 149-188, July, DOI: 10.1007/s00181-022-02329-y.
• Hwee Kwan Chow & Yijie Fei & Daniel Han, 2023, "Forecasting GDP with many predictors in a small open economy: forecast or information pooling?," Empirical Economics, Springer, volume 65, issue 2, pages 805-829, August, DOI: 10.1007/s00181-022-02356-9.
• Francisco Corona & Elio Atenógenes Villaseñor & Jesús López-Pérez & Ranyart R. Suárez, 2023, "Estimating Mexican municipal-level economic activity indicators using nighttime lights," Empirical Economics, Springer, volume 65, issue 3, pages 1197-1214, September, DOI: 10.1007/s00181-023-02376-z.
• Bhanu Pratap & Nalin Priyaranjan, 2023, "Macroeconomic effects of uncertainty: a Google trends-based analysis for India," Empirical Economics, Springer, volume 65, issue 4, pages 1599-1625, October, DOI: 10.1007/s00181-023-02392-z.
• Nuno Lourenço & António Rua, 2023, "Business cycle clocks: Time to get circular," Empirical Economics, Springer, volume 65, issue 4, pages 1513-1541, October, DOI: 10.1007/s00181-023-02405-x.
• Seyed Ali Madanizadeh & Hosein Joshaghani & Reza Moradi, 2023, "Ride-hailing demand elasticity: a regression discontinuity method," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, volume 50, issue 4, pages 907-932, December, DOI: 10.1007/s40812-022-00225-1.
• India Flint & Jasmina Medjedovic & Ewa Drogon O’Flaherty & Elena Alvarez-Baron & Karthinathan Thangavelu & Natasa Savic & Aurelie Meunier & Louise Longworth, 2023, "Mapping analysis to predict SF-6D utilities from health outcomes in people with focal epilepsy," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), volume 24, issue 7, pages 1061-1072, September, DOI: 10.1007/s10198-022-01519-w.
• James Yae & Yang Luo, 2023, "Robust monitoring machine: a machine learning solution for out-of-sample R $$^2$$ 2 -hacking in return predictability monitoring," Financial Innovation, Springer;Southwestern University of Finance and Economics, volume 9, issue 1, pages 1-28, December, DOI: 10.1186/s40854-023-00497-z.
• Nhung Nghiem & June Atkinson & Binh P. Nguyen & An Tran-Duy & Nick Wilson, 2023, "Predicting high health-cost users among people with cardiovascular disease using machine learning and nationwide linked social administrative datasets," Health Economics Review, Springer, volume 13, issue 1, pages 1-13, December, DOI: 10.1186/s13561-023-00422-1.
• Saulius Jokubaitis & Dmitrij Celov, 2023, "Business Cycle Synchronization in the EU: A Regional-Sectoral Look through Soft-Clustering and Wavelet Decomposition," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 19, issue 3, pages 311-371, November, DOI: 10.1007/s41549-023-00090-4.
• Andrei Shynkevich, 2023, "Law of one price and return on Arbitrage Trading: Bitcoin vs. Ethereum," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 47, issue 3, pages 763-792, September, DOI: 10.1007/s12197-023-09631-0.
• Heiko Stüber & Wolfgang Dauth & Johann Eppelsheimer, 2023, "A guide to preparing the sample of integrated labour market biographies (SIAB, version 7519 v1) for scientific analysis," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), volume 57, issue 1, pages 1-11, December, DOI: 10.1186/s12651-023-00335-w.
• Pawan Kumar & Vipul Kumar Singh, 2023, "Examining the Time Varying Spillover Dynamics of Indian Financial Indictors from Global and Local Economic Uncertainty," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 21, issue 1, pages 99-121, March, DOI: 10.1007/s40953-022-00333-8.
• Ioannis A. Nikas & Athanasios Koutras & Alkiviadis Panagopoulos, 2023, "Dynamic Areas of Interest Inside an Urban Destination Using Visitors’ Geolocation," Springer Proceedings in Business and Economics, Springer, in: Vicky Katsoni, "Tourism, Travel, and Hospitality in a Smart and Sustainable World", DOI: 10.1007/978-3-031-26829-8_18.
• Indra Budi & Yaniasih Yaniasih, 2023, "Understanding the meanings of citations using sentiment, role, and citation function classifications," Scientometrics, Springer;Akadémiai Kiadó, volume 128, issue 1, pages 735-759, January, DOI: 10.1007/s11192-022-04567-4.
• Nataliya Matveeva & Vladimir Batagelj & Anuška Ferligoj, 2023, "Scientific collaboration of post-Soviet countries: the effects of different network normalizations," Scientometrics, Springer;Akadémiai Kiadó, volume 128, issue 8, pages 4219-4242, August, DOI: 10.1007/s11192-023-04752-z.
• Emmanuel O. Akande & Elijah O. Akanni & Oyedamola F. Taiwo & Jeremiah D. Joshua & Abel Anthony, 2023, "Predicting inflation component drivers in Nigeria: a stacked ensemble approach," SN Business & Economics, Springer, volume 3, issue 1, pages 1-32, January, DOI: 10.1007/s43546-022-00384-2.
• Antonio Marsi, 2023, "Predicting European stock returns using machine learning," SN Business & Economics, Springer, volume 3, issue 7, pages 1-25, July, DOI: 10.1007/s43546-023-00487-4.
• Jiexiang Li, 2023, "Estimation of the scale parameter in truncated Rayleigh distribution," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, volume 12, issue 4, pages 1-3.
• Odd E. Nygård & Thor O. Thoresen, 2023, "Controlling for fixed effects in studies of income underreporting," Discussion Papers, Statistics Norway, Research Department, number 1000, May.
• Filipe B. Caires & Hugo Reis & Paulo M. M. Rodrigues, 2023, "Survival of the fittest: tourism exposure and firm survival," Applied Economics, Taylor & Francis Journals, volume 55, issue 60, pages 7150-7177, December, DOI: 10.1080/00036846.2023.2208858.
• Joshua C. C. Chan, 2023, "Large Hybrid Time-Varying Parameter VARs," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 41, issue 3, pages 890-905, July, DOI: 10.1080/07350015.2022.2080683.
• Laurent Ferrara & Anna Simoni, 2023, "When are Google Data Useful to Nowcast GDP? An Approach via Preselection and Shrinkage," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 41, issue 4, pages 1188-1202, October, DOI: 10.1080/07350015.2022.2116025.
• Sylvia A. Allegretto & Dave Graham-Squire, 2023, "Monopsony in Professional Labor Markets: Hospital System Concentration and Nurse Wages," Working Papers Series, Institute for New Economic Thinking, number inetwp197, Jan, DOI: 10.36687/inetwp197.
• Jacques Minlend, 2023, "European Low-Carbon Policy: Impact on fossil energy markets," Economics Working Paper Archive (University of Rennes & University of Caen), Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS, number 2023-04, Feb.
• Tae-Hwy Lee & Ekaterina Seregina, 2023, "Optimal Portfolio Using Factor Graphical Lasso," Working Papers, University of California at Riverside, Department of Economics, number 202302, Mar.
• Jianghao Chu & Tae-Hwy Lee & Aman Ullah, 2023, "Asymmetric AdaBoost for High-dimensional Maximum Score Regression," Working Papers, University of California at Riverside, Department of Economics, number 202306, Aug.
• Saman Banafti & Tae-Hwy Lee, 2023, "Inferential Theory for Granular Instrumental Variables in High Dimensions," Working Papers, University of California at Riverside, Department of Economics, number 202308, Sep.
• Tae-Hwy Lee & Ekaterina Seregina, 2023, "Combining Forecasts under Structural Breaks Using Graphical LASSO," Working Papers, University of California at Riverside, Department of Economics, number 202310, Sep.
• Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2023, "Expecting the unexpected: Stressed scenarios for economic growth," Working Papers, University of California at Riverside, Department of Economics, number 202314, Nov.
• Tetiana Yukhymenko & Oleh Sorochan, 2023, "Impact of the Central Bank's Communication on FX Market Dynamics," Visnyk of the National Bank of Ukraine, National Bank of Ukraine, issue 255, pages 4-21, DOI: 10.26531/vnbu2023.255.01.
• Mihnea Constantinescu, 2023, "Sparse Warcasting," Working Papers, National Bank of Ukraine, number 01/2023, Jun.
• Dylan Brewer & Alyssa Carlson, 2023, "Addressing Sample Selection Bias for Machine Learning Methods," Working Papers, Department of Economics, University of Missouri, number 2302, Mar.
• Dylan Brewer & Alyssa Carlson, 2023, "Addressing Sample Selection Bias for Machine Learning Methods," Working Papers, Department of Economics, University of Missouri, number 2310, Jun.
• Matevosova Anastasia, 2023, "Modeling the impact of sanctions on inflation expectations," Working Papers, Moscow State University, Faculty of Economics, number 0053, May.
• Matevosova Anastasia, 2023, "The research of Russian’s inflation expectations under sanctions based on big data," Working Papers, Moscow State University, Faculty of Economics, number 0057, May.
• Luca Mingarelli & Jonas Wendelborn & Tamarah Shakir, 2023, "On the identification of zombie firms," Aussenwirtschaft, University of St. Gallen, School of Economics and Political Science, Swiss Institute for International Economics and Applied Economics Research, volume 73, issue 01, pages 57-64, December.
• Fengler, Matthias & Phan, Minh Tri, 2023, "A Topic Model for 10-K Management Disclosures," Economics Working Paper Series, University of St. Gallen, School of Economics and Political Science, number 2307, Aug.
• Bogner Alexandra & Jerger Jürgen, 2023, "Big data in monetary policy analysis—a critical assessment," Economics and Business Review, Sciendo, volume 9, issue 2, pages 27-40, April, DOI: 10.18559/ebr.2023.2.733.
• Gere István, 2023, "Mapping the Parameter Space of Simulated Lotteries," Journal of Social and Economic Statistics, Sciendo, volume 12, issue 2, pages 38-52, December, DOI: 10.2478/jses-2023-0008.
• Brudan Adrian & Gorski Teodora & Mihailoaie Cristina & Pentek Borbala, 2023, "Towards Effective Performance Management Systems: A Case Study on Integrated Performance Management Maturity Model Deployment," Timisoara Journal of Economics and Business, Sciendo, volume 16, issue 2, pages 119-140, DOI: 10.2478/tjeb-2023-0007.
• Denise Desjardins & Georges Dionne & Yang Lu, 2023, "Hierarchical random‐effects model for the insurance pricing of vehicles belonging to a fleet," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 38, issue 2, pages 242-259, March, DOI: 10.1002/jae.2949.
• Fetzer, Thiemo & Gazze, Ludovica & Bishop, Menna, 2023, "Distributional and climate implications of policy responses to energy price shocks," The Warwick Economics Research Paper Series (TWERPS), University of Warwick, Department of Economics, number 1467.
• Szydlo, Jan, 2023, "Forecasting Credit Dynamics : VAR, VECM or modern Factor-Augmented VAR approach?," Warwick-Monash Economics Student Papers, Warwick Monash Economics Student Papers, number 63.
• Beck, Günter W. & Carstensen, Kai & Menz, Jan-Oliver & Schnorrenberger, Richard & Wieland, Elisabeth, 2023, "Nowcasting consumer price inflation using high-frequency scanner data: Evidence from Germany," Discussion Papers, Deutsche Bundesbank, number 34/2023.
• Fridgen, Gilbert & Kräussl, Roman & Papageorgiou, Orestis & Tugnetti, Alessandro, 2023, "The fundamental value of art NFTs," CFS Working Paper Series, Center for Financial Studies (CFS), number 709, DOI: 10.2139/ssrn.4337173.
• Büchel, Jan & Engler, Jan & Mertens, Armin, 2023, "Gesuchte Datenkompetenzen in Deutschland
  [The demand for data skills in Germany]," IW-Trends – Vierteljahresschrift zur empirischen Wirtschaftsforschung, Institut der deutschen Wirtschaft (IW) / German Economic Institute, volume 50, issue 2, pages 3-17, DOI: 10.2373/1864-810X.23-02-01.
• Lavko, Matus & Klein, Tony & Walther, Thomas, 2023, "Reinforcement Learning and Portfolio Allocation: Challenging Traditional Allocation Methods," QBS Working Paper Series, Queen's University Belfast, Queen's Business School, number 2023/01, DOI: 10.2139/ssrn.4346043.
• Bagnara, Matteo & Goodarzi, Milad, 2023, "Clustering-based sector investing," SAFE Working Paper Series, Leibniz Institute for Financial Research SAFE, number 397.
• Iva Tolic Mandic & Sanja Tisma & Daniela Angelina Jelincic & Damir Demonja, 2023, "Smart Solutions for Sustainable Tourism Pearls: How to Live Between Culture and Tourism in Dubrovnik," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, volume 21, issue 3, pages 272-296.

2022

• Kristoffer Pons Bertelsen, 2022, "The Prior Adaptive Group Lasso and the Factor Zoo," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2022-05, Jan.
• Sarthak Behera & Hyeongwoo Kim & Soohyon Kim, 2022, "Superior Predictability of American Factors of the Won/Dollar Real Exchange Rate," Auburn Economics Working Paper Series, Department of Economics, Auburn University, number auwp2022-03, Jul.
• Laurence Kotlikoff, 2022, "Does Prediction Machines Predict Our AI Future? A Review," Journal of Economic Literature, American Economic Association, volume 60, issue 3, pages 1052-1057, September, DOI: 10.1257/jel.20191519.
• Susanne Schennach, 2022, "Measurement Systems," Journal of Economic Literature, American Economic Association, volume 60, issue 4, pages 1223-1263, December, DOI: 10.1257/jel.20211355.
• Gheorghe Zaman & Nicoleta Valentina Florea & Constantin Aurelian Ionescu & Dan Marius Coman & Doina Constanta Mihai & Nicoleta Luminita Gudanescu Nicolau, 2022, "Mathematical Model for Determining Costs of Unsatisfied Customers of HoReCa Industry," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, volume 24, issue 59, pages 268-268.
• Isaac K. Ofori & Camara K. Obeng & Simplice A. Asongu, 2022, "What Really Drives Economic Growth in Sub-Saharan Africa? Evidence from The Lasso Regularization and Inferential Techniques," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 22/061, Jan.
• Iania, Leonardo & Algieri, Bernardina & Leccadito, Arturo, 2022, "Forecasting total energy’s CO2 emissions," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2022003, May.
• Andrada LASCÄ‚U, 2022, "Ï»¿Audit Digitalization And Data Mining," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, volume 1, issue 24, pages 1-10.
• Stefano Giglio & Bryan Kelly & Dacheng Xiu, 2022, "Factor Models, Machine Learning, and Asset Pricing," Annual Review of Financial Economics, Annual Reviews, volume 14, issue 1, pages 337-368, November, DOI: 10.1146/annurev-financial-101521-10.
• Агамбаева С.Б. // Agambayeva S.B. & Джусангалиева К.Е. // Jussangaliyeva K.E. & Акылбеков А.А. // Akylbekov A.A. & Ханетова А.Б. // Khanetova A.B., 2022, "Таргет по инфляции: формулировка цели и последствия ее смены. Обзор международного опыта. // Inflation Target: Formulation of the Goal and Implications of its Change. Overview of international experience," Economic Review(National Bank of Kazakhstan), National Bank of Kazakhstan, issue 3/4, pages 4-25.
• Аринова Айжан // Arinova Aizhan & Ержан Ислам // Yerzhan Islam, 2022, "Использование транзакционных данных в качестве оперативного показателя экономической активности // Use of transactional data as an operational measure of economic activity," Working Papers, National Bank of Kazakhstan, number #2022-11.
• Christina Carty & Oscar Claveria, 2022, "“The nexus between variable renewable energy, economy and climate: Evidence from European countries by means of exploratory graphical analysis”," AQR Working Papers, University of Barcelona, Regional Quantitative Analysis Group, number 202205, May, revised May 2022.
• Saman Banafti & Tae-Hwy Lee, 2022, "Inferential Theory for Granular Instrumental Variables in High Dimensions," Papers, arXiv.org, number 2201.06605, Jan, revised Sep 2023.
• Joshua C. C. Chan, 2022, "Large Hybrid Time-Varying Parameter VARs," Papers, arXiv.org, number 2201.07303, Jan, revised Jun 2022.
• David Benatia & Christophe Bell'ego & Louis Pape, 2022, "Dealing with Logs and Zeros in Regression Models," Papers, arXiv.org, number 2203.11820, Mar, revised Sep 2025.
• Christophe Hurlin & Christophe P'erignon & S'ebastien Saurin, 2022, "The Fairness of Credit Scoring Models," Papers, arXiv.org, number 2205.10200, May, revised Feb 2024.
• Giovanni Urga & Fa Wang, 2022, "Estimation and Inference for High Dimensional Factor Model with Regime Switching," Papers, arXiv.org, number 2205.12126, May, revised Apr 2023.
• Jushan Bai & Jiangtao Duan & Xu Han, 2022, "Likelihood ratio test for structural changes in factor models," Papers, arXiv.org, number 2206.08052, Jun, revised Dec 2023.
• Joshua C. C. Chan & Xuewen Yu, 2022, "Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility," Papers, arXiv.org, number 2206.08438, Jun.
• Maximilian Ruecker & Michael Vogt & Oliver Linton & Christopher Walsh, 2022, "Estimation and Inference in High-Dimensional Panel Data Models with Interactive Fixed Effects," Papers, arXiv.org, number 2206.12152, Jun, revised Aug 2025.
• Gaetan Bakalli & St'ephane Guerrier & Olivier Scaillet, 2022, "A penalized two-pass regression to predict stock returns with time-varying risk premia," Papers, arXiv.org, number 2208.00972, Aug.
• James T. E. Chapman & Ajit Desai, 2022, "Macroeconomic Predictions using Payments Data and Machine Learning," Papers, arXiv.org, number 2209.00948, Sep.
• Tae-Hwy Lee & Ekaterina Seregina, 2022, "Combining Forecasts under Structural Breaks Using Graphical LASSO," Papers, arXiv.org, number 2209.01697, Sep, revised Sep 2023.
• Aleksandar Keseljevic & Rok Spruk, 2022, "Estimating the Effects of Syrian Civil War," Papers, arXiv.org, number 2209.03046, Sep.
• Jinyuan Chang & Qing Jiang & Xiaofeng Shao, 2022, "Testing the martingale difference hypothesis in high dimension," Papers, arXiv.org, number 2209.04770, Sep, revised Sep 2022.
• Matteo Barigozzi & Daniele Massacci, 2022, "Modelling Large Dimensional Datasets with Markov Switching Factor Models," Papers, arXiv.org, number 2210.09828, Oct, revised Dec 2024.
• Reza Bradrania & Davood Pirayesh Neghab, 2022, "State-dependent Asset Allocation Using Neural Networks," Papers, arXiv.org, number 2211.00871, Nov.
• Jan Ditzen & Francesco Ravazzolo, 2022, "Dominant Drivers of National Inflation," Papers, arXiv.org, number 2212.05841, Dec.
• Emilia VASILE & Danut Octavian SIMION, 2022, "Establishing And Achieving The Objectives Of Economic Information Systems Through Algorithms Specific To Business Applications," Internal Auditing and Risk Management, Athenaeum University of Bucharest, volume 65, issue 1, pages 9-18, March.
• Danut Octavian SIMION & Emilia VASILE, 2022, "Optimizing Economic Applications By Optimizing Data Flows Present In Different Modules Integrated In Informatics Technology Systems," Internal Auditing and Risk Management, Athenaeum University of Bucharest, volume 66, issue 2, pages 54-63, September.
• Jack Jewson & Li Li & Laura Battaglia & Stephen Hansen & David Rossell & Piotr Zwiernik, 2022, "Graphical model inference with external network data," CeMMAP working papers, Institute for Fiscal Studies, number 20/22, Nov, DOI: 10.47004/wp.cem.2022.2022.
• Maxim Ralchenko & Adrian Walton, 2022, "Historical Data on Repurchase Agreements from the Canadian Depository for Securities," Technical Reports, Bank of Canada, number 121, DOI: 10.34989/tr-121.
• Thibaut Duprey & Daniel E. Rigobon & Philip Schnattinger & Artur Kotlicki & Soheil Baharian & T. R. Hurd, 2022, "Business Closures and (Re)Openings in Real Time Using Google Places," Staff Working Papers, Bank of Canada, number 22-1, Jan, DOI: 10.34989/swp-2022-1.
• James Chapman & Ajit Desai, 2022, "Macroeconomic Predictions Using Payments Data and Machine Learning," Staff Working Papers, Bank of Canada, number 22-10, Mar, DOI: 10.34989/swp-2022-10.
• Efrem Castelnuovo & Kerem Tuzcuoglu & Luis Uzeda, 2022, "Sectoral Uncertainty," Staff Working Papers, Bank of Canada, number 22-38, Sep, DOI: 10.34989/swp-2022-38.
• Gustavo Silva Araujo & Wagner Piazza Gaglianone, 2022, "Machine Learning Methods for Inflation Forecasting in Brazil: new contenders versus classical models," Working Papers Series, Central Bank of Brazil, Research Department, number 561, Jul.
• Andrés Alonso & José Manuel Carbó, 2022, "Accuracy of explanations of machine learning models for credit decisions," Working Papers, Banco de España, number 2222, Jun.
• Giuseppe Cascarino & Mirko Moscatelli & Fabio Parlapiano, 2022, "Explainable Artificial Intelligence: interpreting default forecasting models based on Machine Learning," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 674, Mar.
• Valerio Astuti & Marta Crispino & Marco Langiulli & Juri Marcucci, 2022, "Textual analysis of a Twitter corpus during the COVID-19 pandemics," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 692, Jun.
• Rayane Hanifi & Klodiana Istrefi & Adrian Penalver, 2022, "Central Bank Communication of Uncertainty," Working papers, Banque de France, number 898.
• Ferran Sancho, 2022, "Stone-Geary Meets CES: An Extended Linear Expenditure System," Working Papers, Barcelona School of Economics, number 1328, Mar.
• Daisuke Miyakawa & Kohei Shintani, 2022, "Disagreement between human and machine predictions," IFC Bulletins chapters, Bank for International Settlements, in: Bank for International Settlements, "Machine learning in central banking".
• Elena Shulyak, 2022, "Macroeconomic Forecasting Using Data from Social Media," Russian Journal of Money and Finance, Bank of Russia, volume 81, issue 4, pages 86-112, December.
• Oyenyinka Sunday Omoshoro‐Jones & Lumengo Bonga‐Bonga, 2022, "Intra‐regional spillovers from Nigeria and South Africa to the rest of Africa: New evidence from a FAVAR model," The World Economy, Wiley Blackwell, volume 45, issue 1, pages 251-275, January, DOI: 10.1111/twec.13140.
• Takashi Nakazawa, 2022, "Constructing GDP Nowcasting Models Using Alternative Data," Bank of Japan Working Paper Series, Bank of Japan, number 22-E-9, Jul.
• Kakuho Furukawa & Ryohei Hisano & Yukio Minoura & Tomoyuki Yagi, 2022, "A Nowcasting Model of Industrial Production using Alternative Data and Machine Learning Approaches," Bank of Japan Working Paper Series, Bank of Japan, number 22-E-16, Nov.
• Kakuho Furukawa & Ryohei Hisano, 2022, "A Nowcasting Model of Exports Using Maritime Big Data," Bank of Japan Working Paper Series, Bank of Japan, number 22-E-19, Dec.
• Miren Azkarate-Askasua & Miguel Zerecero, 2022, "Correcting Small Sample Bias in Linear Models With Many Covariates," CRC TR 224 Discussion Paper Series, University of Bonn and University of Mannheim, Germany, number crctr224_2022_376, Nov.
• Jan Ditzen & Francesco Ravazzolo, 2022, "Dominant Drivers of National Inflation," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS97, Dec.
• Mueller, H. & Rauh, C., 2022, "Using Past Violence and Current News to Predict Changes in Violence," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2220, Mar.
• Linton, O. B. & Tang, H. & Wu, J., 2022, "A Structural Dynamic Factor Model for Daily Global Stock Market Returns," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2237, Jun.
• Vogt, M. & Walsh, C. & Linton, O., 2022, "CCE Estimation of High-Dimensional Panel Data Models with Interactive Fixed Effects," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2242, Jun.
• Efrem Castelnuovo & Kerem Tuzcuoglu & Luis Uzeda, 2022, "Sectoral Uncertainty," CESifo Working Paper Series, CESifo, number 10034.
• Pilar Rey del Castillo, 2022, "Building Daily Economic Sentiment Indicators," CESifo Working Paper Series, CESifo, number 10087.
• Fetzer, Thiemo & Gazze, Ludovica & Bishop, Menna, 2022, "Distributional and climate implications of policy responses to the energy crisis: Lessons from the UK," CAGE Online Working Paper Series, Competitive Advantage in the Global Economy (CAGE), number 644.
• Damir Filipović & Markus Pelger & Ye Ye, 2022, "Stripping the Discount Curve - a Robust Machine Learning Approach," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-24, Mar.
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• Victoria Ateca-Amestoy & Concetta Castiglione, 2022, "Live And Digital Engagement With The Visual Arts," Working Papers, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF, number 202206, Dec.
• Andrei Dubovik & Adam Elbourne & Bram Hendriks & Mark Kattenberg, 2022, "Forecasting World Trade Using Big Data and Machine Learning Techniques," CPB Discussion Paper, CPB Netherlands Bureau for Economic Policy Analysis, number 441, Oct, DOI: 10.34932/01mq-sn15.
• Bai, Yu & Carriero, Andrea & Clark, Todd & Marcellino, Massimiliano, 2022, "Macroeconomic Forecasting in a Multi-country Context," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16994, Feb.
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• Byron Botha & Rulof Burger & Kevin Kotze & Neil Rankin & Daan Steenkamp, 2022, "Big data forecasting of South African inflation," School of Economics Macroeconomic Discussion Paper Series, School of Economics, University of Cape Town, number 2022-03.
• Ryan, Ellen & Horan, Aoife & Jarmulska, Barbara, 2022, "Commercial real estate and financial stability – new insights from the euro area credit register," Macroprudential Bulletin, European Central Bank, volume 19.
• Mingarelli, Luca & Ravanetti, Beatrice & Shakir, Tamarah & Wendelborn, Jonas, 2022, "Dawn of the (half) dead: the twisted world of zombie identification," Working Paper Series, European Central Bank, number 2743, Oct.
• Chan, Joshua C.C. & Yu, Xuewen, 2022, "Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility," Journal of Economic Dynamics and Control, Elsevier, volume 143, issue C, DOI: 10.1016/j.jedc.2022.104505.
• Anatolyev, Stanislav & Pyrlik, Vladimir, 2022, "Copula shrinkage and portfolio allocation in ultra-high dimensions," Journal of Economic Dynamics and Control, Elsevier, volume 143, issue C, DOI: 10.1016/j.jedc.2022.104508.
• Caporin, Massimiliano & Poli, Francesco, 2022, "News and intraday jumps: Evidence from regularization and class imbalance," The North American Journal of Economics and Finance, Elsevier, volume 62, issue C, DOI: 10.1016/j.najef.2022.101743.
• Belloni, Alexandre & Hansen, Christian & Newey, Whitney, 2022, "High-dimensional linear models with many endogenous variables," Journal of Econometrics, Elsevier, volume 228, issue 1, pages 4-26, DOI: 10.1016/j.jeconom.2021.06.011.
• Angelico, Cristina & Marcucci, Juri & Miccoli, Marcello & Quarta, Filippo, 2022, "Can we measure inflation expectations using Twitter?," Journal of Econometrics, Elsevier, volume 228, issue 2, pages 259-277, DOI: 10.1016/j.jeconom.2021.12.008.
• Yu, Long & He, Yong & Kong, Xinbing & Zhang, Xinsheng, 2022, "Projected estimation for large-dimensional matrix factor models," Journal of Econometrics, Elsevier, volume 229, issue 1, pages 201-217, DOI: 10.1016/j.jeconom.2021.04.001.
• Freyaldenhoven, Simon, 2022, "Factor models with local factors — Determining the number of relevant factors," Journal of Econometrics, Elsevier, volume 229, issue 1, pages 80-102, DOI: 10.1016/j.jeconom.2021.04.006.
• Agudze, Komla M. & Billio, Monica & Casarin, Roberto & Ravazzolo, Francesco, 2022, "Markov switching panel with endogenous synchronization effects," Journal of Econometrics, Elsevier, volume 230, issue 2, pages 281-298, DOI: 10.1016/j.jeconom.2021.04.004.
• Doanh, Nguyen Khanh & Gam, Nguyen Thi & Heo, Yoon, 2022, "The impact of intellectual property rights protection on trade: The role of a “third country” in market power and market expansion effects," Economic Systems, Elsevier, volume 46, issue 1, DOI: 10.1016/j.ecosys.2022.100942.
• Tsang, Kwok Ping & Yang, Zichao, 2022, "Do connections pay off in the bitcoin market?," Journal of Empirical Finance, Elsevier, volume 67, issue C, pages 1-18, DOI: 10.1016/j.jempfin.2022.02.001.
• Kang, Jieyi & Reiner, David M., 2022, "What is the effect of weather on household electricity consumption? Empirical evidence from Ireland," Energy Economics, Elsevier, volume 111, issue C, DOI: 10.1016/j.eneco.2022.106023.
• Nazlioglu, Saban & Kassouri, Yacouba & Kucukkaplan, Ilhan & Soytas, Ugur, 2022, "Convergence of oil consumption: A historical perspective with new concepts," Energy Policy, Elsevier, volume 168, issue C, DOI: 10.1016/j.enpol.2022.113150.
• Ellington, Michael & Stamatogiannis, Michalis P. & Zheng, Yawen, 2022, "A study of cross-industry return predictability in the Chinese stock market," International Review of Financial Analysis, Elsevier, volume 83, issue C, DOI: 10.1016/j.irfa.2022.102249.
• Ding, Shusheng & Cui, Tianxiang & Zhang, Yongmin, 2022, "Futures volatility forecasting based on big data analytics with incorporating an order imbalance effect," International Review of Financial Analysis, Elsevier, volume 83, issue C, DOI: 10.1016/j.irfa.2022.102255.
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• García-Uribe, Sandra, 2022, "Multidimensional media slant: Complementarities in news reporting by US newspapers," Information Economics and Policy, Elsevier, volume 61, issue C, DOI: 10.1016/j.infoecopol.2022.101006.
• Buse, Rebekka & Schienle, Melanie & Urban, Jörg, 2022, "Assessing the impact of policy and regulation interventions in European sovereign credit risk networks: What worked best?," Journal of International Economics, Elsevier, volume 139, issue C, DOI: 10.1016/j.jinteco.2022.103673.
• Xu, Shuzhe & Zhang, Chuanlong & Hong, Don, 2022, "BERT-based NLP techniques for classification and severity modeling in basic warranty data study," Insurance: Mathematics and Economics, Elsevier, volume 107, issue C, pages 57-67, DOI: 10.1016/j.insmatheco.2022.07.013.
• Borochin, Paul & Rush, Stephen, 2022, "Information networks in the financial sector and systemic risk," Journal of Banking & Finance, Elsevier, volume 134, issue C, DOI: 10.1016/j.jbankfin.2021.106327.
• Faryna, Oleksandr & Pham, Tho & Talavera, Oleksandr & Tsapin, Andriy, 2022, "Wage and unemployment: Evidence from online job vacancy data," Journal of Comparative Economics, Elsevier, volume 50, issue 1, pages 52-70, DOI: 10.1016/j.jce.2021.05.003.
• Scoles, Brooke & Nicodemo, Catia, 2022, "Doctors’ attitudes toward specific medical conditions," Journal of Economic Behavior & Organization, Elsevier, volume 204, issue C, pages 182-199, DOI: 10.1016/j.jebo.2022.09.023.
• Gómez-Cram, Roberto & Grotteria, Marco, 2022, "Real-time price discovery via verbal communication: Method and application to Fedspeak," Journal of Financial Economics, Elsevier, volume 143, issue 3, pages 993-1025, DOI: 10.1016/j.jfineco.2021.12.004.
• Leippold, Markus & Wang, Qian & Zhou, Wenyu, 2022, "Machine learning in the Chinese stock market," Journal of Financial Economics, Elsevier, volume 145, issue 2, pages 64-82, DOI: 10.1016/j.jfineco.2021.08.017.
• Moench, Emanuel & Soofi-Siavash, Soroosh, 2022, "What moves treasury yields?," Journal of Financial Economics, Elsevier, volume 146, issue 3, pages 1016-1043, DOI: 10.1016/j.jfineco.2022.04.001.
• Anderegg, Benjamin & Ulmann, Florian & Sornette, Didier, 2022, "The impact of option hedging on the spot market volatility," Journal of International Money and Finance, Elsevier, volume 124, issue C, DOI: 10.1016/j.jimonfin.2022.102627.
• Crane, Leland D. & Decker, Ryan A. & Flaaen, Aaron & Hamins-Puertolas, Adrian & Kurz, Christopher, 2022, "Business exit during the COVID-19 pandemic: Non-traditional measures in historical context," Journal of Macroeconomics, Elsevier, volume 72, issue C, DOI: 10.1016/j.jmacro.2022.103419.
• Bolton, Ruth N. & Gustafsson, Anders & Tarasi, Crina O. & Witell, Lars, 2022, "Managing a Global Retail Brand in Different Markets: Meta-Analyses of Customer Responses to Service Encounters," Journal of Retailing, Elsevier, volume 98, issue 2, pages 294-314, DOI: 10.1016/j.jretai.2021.03.004.
• Kumar, Pawan & Singh, Vipul Kumar, 2022, "Systemic spillover dynamics of crude oil with Indian Financial indicators in post WPI revision and COVID era," Resources Policy, Elsevier, volume 77, issue C, DOI: 10.1016/j.resourpol.2022.102773.
• Koomen, Miriam & Backes-Gellner, Uschi, 2022, "Occupational tasks and wage inequality in West Germany: A decomposition analysis," Labour Economics, Elsevier, volume 79, issue C, DOI: 10.1016/j.labeco.2022.102284.
• Ahelegbey, Daniel Felix & Giudici, Paolo, 2022, "NetVIX — A network volatility index of financial markets," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 594, issue C, DOI: 10.1016/j.physa.2022.127017.
• Parle, Conor, 2022, "The financial market impact of ECB monetary policy press conferences — A text based approach," European Journal of Political Economy, Elsevier, volume 74, issue C, DOI: 10.1016/j.ejpoleco.2022.102230.
• Diaf, Sami & Döpke, Jörg & Fritsche, Ulrich & Rockenbach, Ida, 2022, "Sharks and minnows in a shoal of words: Measuring latent ideological positions based on text mining techniques," European Journal of Political Economy, Elsevier, volume 75, issue C, DOI: 10.1016/j.ejpoleco.2022.102179.
• Nathan, Max & Rosso, Anna, 2022, "Innovative events: product launches, innovation and firm performance," Research Policy, Elsevier, volume 51, issue 1, DOI: 10.1016/j.respol.2021.104373.
• Yankol-Schalck, Meryem, 2022, "The value of cross-data set analysis for automobile insurance fraud detection," Research in International Business and Finance, Elsevier, volume 63, issue C, DOI: 10.1016/j.ribaf.2022.101769.
• Saha, Shree & Narayanan, Sudha, 2022, "A simplified measure of nutritional empowerment: Using machine learning to abbreviate the Women’s Empowerment in Nutrition Index (WENI)," World Development, Elsevier, volume 154, issue C, DOI: 10.1016/j.worlddev.2022.105860.
• Roland Meeks & Francesca Monti, 2022, "Heterogeneous Beliefs and the Phillips Curve," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2022-51, Sep.
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• Pierre Guérin & Danilo Leiva-León, 2022, "Heterogeneous Switching in FAVAR Models," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honour of Fabio Canova", DOI: 10.1108/S0731-90532022000044B003.
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• Isaac K. Ofori & Camara K. Obeng & Simplice A. Asongu, 2022, "What Really Drives Economic Growth in Sub-Saharan Africa? Evidence from The Lasso Regularization and Inferential Techniques," Working Papers, European Xtramile Centre of African Studies (EXCAS), number 22/061, Jan.
• Kirstin Hubrich & Daniel F. Waggoner, 2022, "The Transmission of Financial Shocks and Leverage of Financial Institutions: An Endogenous Regime-Switching Framework," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2022-5, Jun, DOI: 10.29338/wp2022-05.
• Kirstin Hubrich & Daniel F. Waggoner, 2022, "The transmission of financial shocks and leverage of financial institutions: An endogenous regime switching framework," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2022-034, Jun, DOI: 10.17016/FEDS.2022.034.
• Nelson P. Rayl & Nitish R. Sinha, 2022, "Integrating Prediction and Attribution to Classify News," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2022-042, Jul, DOI: 10.17016/FEDS.2022.042.
• Alexey S. Evseev & Rodion R. Latypov & Egor A. Postolit & Elena S. Sinelnikova-Muryleva, 2022, "Technical and Methodological Challenges of Collecting Price Data from Online Retailers
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• Alexey S. Evseev & Rodion R. Latypov & Egor A. Postolit & Elena S. Sinelnikova-Muryleva, 2022, "Техданные О Ценах Онлайн-Ритейлеров Обладают Огромной Ценностью С Точки Зрения Экономической Науки: Их Использование Позволяет Уточнять Прогнозы Инфляции И Предвосхищать Будущие Тенденции В Моменте, Корректировать Оценки Жесткости Цен И Выводы Теорет," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 11, pages 36-45, November.
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• Bertsch, Christoph & Hull, Isaiah & Lumsdaine, Robin L. & Zhang, Xin, 2022, "Central Bank Mandates and Monetary Policy Stances: through the Lens of Federal Reserve Speeches," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 417, Oct, revised 01 Sep 2024.
• Mühlbauer, Sabrina & Weber, Enzo, 2022, "Machine Learning for Labour Market Matching," IAB-Discussion Paper, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], number 202203, Feb, DOI: 10.48720/IAB.DP.2203.
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