Research classified by Journal of Economic Literature (JEL) codes

---

Top JEL
/ C: Mathematical and Quantitative Methods
/ / C1: Econometric and Statistical Methods and Methodology: General
/ / / C18: Methodolical Issues: General

2023

• Gao, Jiti & Liu, Fei & Peng, Bin & Yan, Yayi, 2023, "Binary response models for heterogeneous panel data with interactive fixed effects," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1654-1679, DOI: 10.1016/j.jeconom.2023.01.009.
• Fan, Yanqin & Shi, Xuetao, 2023, "Wald, QLR, and score tests when parameters are subject to linear inequality constraints," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 2005-2026, DOI: 10.1016/j.jeconom.2023.02.009.
• Casini, Alessandro, 2023, "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 372-392, DOI: 10.1016/j.jeconom.2022.05.001.
• Yu, Tao & Li, Pengfei & Chen, Baojiang & Yuan, Ao & Qin, Jing, 2023, "Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 454-469, DOI: 10.1016/j.jeconom.2022.05.003.
• Chen, Yi-Ting & Liu, Chu-An, 2023, "Model averaging for asymptotically optimal combined forecasts," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 592-607, DOI: 10.1016/j.jeconom.2022.06.003.
• Sasaki, Yuya & Takahashi, Yuya & Xin, Yi & Hu, Yingyao, 2023, "Dynamic discrete choice models with incomplete data: Sharp identification," Journal of Econometrics, Elsevier, volume 236, issue 1, DOI: 10.1016/j.jeconom.2023.04.005.
• Caner, Mehmet, 2023, "Generalized linear models with structured sparsity estimators," Journal of Econometrics, Elsevier, volume 236, issue 2, DOI: 10.1016/j.jeconom.2023.105478.
• Ackerberg, Daniel A. & Frazer, Garth & Kim, Kyoo il & Luo, Yao & Su, Yingjun, 2023, "Under-identification of structural models based on timing and information set assumptions," Journal of Econometrics, Elsevier, volume 237, issue 1, DOI: 10.1016/j.jeconom.2023.04.007.
• Berrisch, Jonathan & Ziel, Florian, 2023, "CRPS learning," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2021.11.008.
• Morley, James & Rodríguez-Palenzuela, Diego & Sun, Yiqiao & Wong, Benjamin, 2023, "Estimating the euro area output gap using multivariate information and addressing the COVID-19 pandemic," European Economic Review, Elsevier, volume 153, issue C, DOI: 10.1016/j.euroecorev.2023.104385.
• V., Ernesto Guerra & H., Eugenio Bobenrieth & H., Juan Bobenrieth & Wright, Brian D., 2023, "Endogenous thresholds in energy prices: Modeling and empirical estimation," Energy Economics, Elsevier, volume 121, issue C, DOI: 10.1016/j.eneco.2023.106669.
• Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023, "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, volume 125, issue C, DOI: 10.1016/j.eneco.2023.106884.
• Hrazdil, Karel & Novak, Jiri, 2023, "Executive personality and the gender pay gap," Finance Research Letters, Elsevier, volume 53, issue C, DOI: 10.1016/j.frl.2023.103672.
• Cauthorn, Thomas & Dumrose, Maurice & Eckert, Julia & Klein, Christian & Zwergel, Bernhard, 2023, "Rating changes revisited: New evidence on short-term ESG momentum," Finance Research Letters, Elsevier, volume 54, issue C, DOI: 10.1016/j.frl.2023.103703.
• Breuer, Thomas & Summer, Martin & Urošević, Branko, 2023, "Bank solvency stress tests with fire sales," Journal of Financial Stability, Elsevier, volume 67, issue C, DOI: 10.1016/j.jfs.2023.101161.
• Lambert, Philippe, 2023, "Nonparametric density estimation and risk quantification from tabulated sample moments," Insurance: Mathematics and Economics, Elsevier, volume 108, issue C, pages 177-189, DOI: 10.1016/j.insmatheco.2022.12.004.
• Wei, Yunran & Zitikis, Ričardas, 2023, "Assessing the difference between integrated quantiles and integrated cumulative distribution functions," Insurance: Mathematics and Economics, Elsevier, volume 111, issue C, pages 163-172, DOI: 10.1016/j.insmatheco.2023.04.002.
• Ankel-Peters, Jörg & Fiala, Nathan & Neubauer, Florian, 2023, "Do economists replicate?," Journal of Economic Behavior & Organization, Elsevier, volume 212, issue C, pages 219-232, DOI: 10.1016/j.jebo.2023.05.009.
• Samahita, Margaret & Holm, Håkan J., 2023, "No mood effects in the field: The case of car inspections," Journal of Economic Psychology, Elsevier, volume 96, issue C, DOI: 10.1016/j.joep.2023.102612.
• Butts, Kyle, 2023, "JUE Insight: Difference-in-differences with geocoded microdata," Journal of Urban Economics, Elsevier, volume 133, issue C, DOI: 10.1016/j.jue.2022.103493.
• Kenedi, Gustave & Sirugue, Louis, 2023, "Intergenerational income mobility in France: A comparative and geographic analysis," Journal of Public Economics, Elsevier, volume 226, issue C, DOI: 10.1016/j.jpubeco.2023.104974.
• Nasir, Muhammad Ali & Morgan, Jamie, 2023, "Paradox of stationarity? A policy target dilemma for policymakers," The Quarterly Review of Economics and Finance, Elsevier, volume 87, issue C, pages 142-145, DOI: 10.1016/j.qref.2020.05.007.
• Isaenko, Sergey, 2023, "Trading strategies and the frequency of time-series," The Quarterly Review of Economics and Finance, Elsevier, volume 90, issue C, pages 267-283, DOI: 10.1016/j.qref.2022.10.006.
• Shi, Huai-Long & Chen, Huayi, 2023, "Revisiting asset co-movement: Does network topology really matter?," Research in International Business and Finance, Elsevier, volume 66, issue C, DOI: 10.1016/j.ribaf.2023.102064.
• Thong Le Pham & Nghiem Tan Le & Nhi Nhat Phuong Ho & Thanh Cong Le, 2023, "Consumption inequality between farm and non-farm households in rural Vietnam," Journal of Asian Business and Economic Studies, Emerald Group Publishing Limited, volume 31, issue 4, pages 290-306, March, DOI: 10.1108/JABES-09-2022-0224.
• Valeria DE LAURENTIIS & Andrea MARTINO AMADEI & Esther SANYÉ MENGUAL & Martina KADUNC & Konstantinos NIAKAROS & Serenella SALA, 2023, "How to assess climate change mitigation potential at project-level? An estimation based on life cycle assessment of project proposals submitted under the European Green Deal Call," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-BD-22-002-EN-N, Jan, DOI: 10.2777/944124.
• Andrea FERRANNINI & Roberto MARTINO & Mario BIGGERI & Océane PEIFFER-SMADJA & Julien RAVET, 2023, "The integration of key transformative R&I principles in European policies," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-BD-22-005-EN-N, Mar, DOI: 10.2777/604435.
• Alessio MITRA & Valentina DI GIROLAMO & Erik CANTON, 2023, "Financing Instruments and Challenges for Innovation in the EU," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-BD-23-001-EN-N, Feb, DOI: 10.2777/019319.
• Valentina DI GIROLAMO & Alessio MITRA & Julien RAVET & Océane PEIFFER-SMADJA & Pierre-Alexandre BALLAND, 2023, "The global position of the EU in complex technologies," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-BD-23-002-EN-N, Apr, DOI: 10.2777/454786.
• David ARRANZ & Stefano BIANCHINI & Valentina, DI GIROLAMO & Julien RAVET, 2023, "Trends in the use of AI in science," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-BD-23-003-EN-N, Mar, DOI: 10.2777/418191.
• Erika PALMER & Bianca CAVICCHI, 2023, "Systems-based methods for research & innovation policy," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-BD-23-004-EN-N, May, DOI: 10.2777/592251.
• Christoph BRODNIK, 2023, "Experimenting with Transformative Innovation Policy: Theoretical and Practical Perspectives," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-BD-23-005-EN-N, Jul, DOI: 10.2777/525684.
• Bianca CAVICCHI & Océane PEIFFER-SMADJA & Julien RAVET & Alexandr HOBZA, 2023, "The Transformative Nature of the European Framework Programme for Research and Innovation: Analysis of its Evolution between 2002 & 2023," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-BD-23-006-EN-N, Oct, DOI: 10.2777/73000.
• Alessio MITRA & Julien RAVET & Valentina DI GIROLAMO & Océane SMADJA, 2023, "The road to success: how regional innovation ecosystems can improve participation in the European Framework programme for R&I," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-BD-23-008-EN-N, Oct, DOI: 10.2777/710365.
• Erik CANTON, 2023, "Being right or fair: A portfolio approach to research funding," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-BD-23-009-EN-N, Oct, DOI: 10.2777/580743.
• Nicolás Salamanca & Buly A. Cardak & Edwin Ip & Joe Vecci, 2023, "Time-stability of risk preferences: A new approach with evidence from developed and developing countries," Discussion Papers, University of Exeter, Department of Economics, number 2305, Apr.
• Ruslan Vyacheslavovich Goncharov & Egor Andreevich Kotov & Varvara Aleksandrovna Molodtsova, 2023, "Local Factors and COVID-19 Severity: Typological Analysis of Urban Districts in Russia," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 1, pages 93-120, DOI: https://dx.doi.org/10.14530/se.2023.
• Thomas R. Cook & Nathan M. Palmer, 2023, "Understanding Models and Model Bias with Gaussian Processes," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 23-07, Jun, DOI: 10.18651/RWP2023-07.
• Jeremy Majerovitz & Karthik Sastry, 2023, "How Much Should We Trust Regional-Exposure Designs?," Working Papers, Federal Reserve Bank of St. Louis, number 2023-018, Jul, DOI: 10.20955/wp.2023.018.
• Simon Bruhn & Thomas Grebel & Lionel Nesta, 2023, "The fallacy in productivity decomposition," Post-Print, HAL, number hal-04288851, Jul, DOI: 10.1007/s00191-023-00816-8.
• Abdelhakim Aknouche & Christian Francq, 2023, "Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models," Post-Print, HAL, number hal-05417229, Dec, DOI: 10.1016/j.jeconom.2021.09.002.
• Mathias Silva, 2023, "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach
  [Working Papers / Documents de travail]," Working Papers, HAL, number hal-04066544, Apr.
• Mathias Silva, 2023, "Parametric models of income distributions integrating misreporting and non-response mechanisms," Working Papers, HAL, number hal-04093646, May.
• Marine Adam & Odran Bonnet & Etienne Fize & Marion Rault & Tristan Loisel & Lionel Wilner, 2023, "How does fuel demand respond to price changes? Quasi-experimental evidence based on high-frequency data
  [L’ajustement de court terme de la consommation de carburant à des changements de prix. Des estimations menées à partir de données à haute fréq," Working Papers, HAL, number hal-05354063, Jul.
• Gavrilova, Evelina & Langørgen, Audun & Zoutman, Floris T., 2023, "Dynamic Causal Forests, with an Application to Payroll Tax Incidence in Norway," Discussion Papers, Norwegian School of Economics, Department of Business and Management Science, number 2023/9, Jun.
• Aysegül Kayaoglu & Ghassan Baliki & Tilman Brück, 2023, "Conducting (Long-term) Impact Evaluations in Humanitarian and Conflict Settings: Evidence from a complex agricultural intervention in Syria," HiCN Working Papers, Households in Conflict Network, number 386, Mar.
• Aysegül Kayaoglu & Ghassan Baliki & Tilman Brück & Melodie Al Daccache & Dorothee Weiffen, 2023, "How to conduct impact evaluations in humanitarian and conflict settings," HiCN Working Papers, Households in Conflict Network, number 387, Mar.
• KWON, Heeeun & HWANG, Beom Seuk, 2023, "Do Spatial Characteristics Affect Housing Prices in Korea? : Evidence from Bayesian Spatial Models," Hitotsubashi Journal of Economics, Hitotsubashi University, volume 64, issue 2, pages 109-124, December, DOI: 10.15057/hje.2023006.
• James J. Heckman & Rodrigo Pinto, 2023, "Econometric Causality: The Central Role of Thought Experiments," Working Papers, Human Capital and Economic Opportunity Working Group, number 2023-029, Dec.
• Storm, Eduard, 2023, "On the measurement of tasks: does expert data get it right?," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], volume 57, issue , pages 1-006, DOI: 10.1186/s12651-023-00332-z.
• Nur Aini & Nasrudin, 2023, "A Financial Technology Index For Indonesia 2017 - 2020," Bulletin of Monetary Economics and Banking, Bank Indonesia, volume 26, issue 3, pages 491-512, September, DOI: https://doi.org/10.59091/2460-9196..
• Áureo de Paula & Imran Rasul & Pedro CL Souza, 2023, "Identifying network ties from panel data: theory and an application to tax competition," IFS Working Papers, Institute for Fiscal Studies, number WCWP21/23, Oct.
• Luisa María Vélez Bermello & Gustavo Geovanni Flores Sánchez, 2023, "Necesidades Operativas de Fondos: Diagnóstico de las terminales portuarias ecuatorianas," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 18, issue 1, pages 1-18, Enero - M.
• Heckman, James J. & Pinto, Rodrigo, 2023, "Econometric Causality: The Central Role of Thought Experiments," IZA Discussion Papers, IZA Network @ LISER, number 16646, Dec.
• Ignacio Escañuela Romana & Mercedes Torres-Jiménez & Mariano Carbonero-Ruz, 2023, "Price Elasticity of Demand for Domestic Air Travel in the United States: A Robust Quasi-Experimental Estimation," Atlantic Economic Journal, Springer;International Atlantic Economic Society, volume 51, issue 2, pages 149-167, September, DOI: 10.1007/s11293-023-09779-4.
• Giuseppe Luca & Jan R. Magnus & Franco Peracchi, 2023, "Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals," Computational Economics, Springer;Society for Computational Economics, volume 61, issue 4, pages 1637-1664, April, DOI: 10.1007/s10614-022-10255-5.
• Arthur Charpentier & Romuald Élie & Carl Remlinger, 2023, "Reinforcement Learning in Economics and Finance," Computational Economics, Springer;Society for Computational Economics, volume 62, issue 1, pages 425-462, June, DOI: 10.1007/s10614-021-10119-4.
• Nicholas Ngepah & Tsholofelo Makgalemele & Charles Shaaba Saba, 2023, "The relationship between education and vulnerability to poverty in South Africa," Economic Change and Restructuring, Springer, volume 56, issue 1, pages 633-656, February, DOI: 10.1007/s10644-022-09439-8.
• Timna Denwood & Jonathan J. Huck & Sarah Lindley, 2023, "Paper2GIS: improving accessibility without limiting analytical potential in Participatory Mapping," Journal of Geographical Systems, Springer, volume 25, issue 1, pages 37-57, January, DOI: 10.1007/s10109-022-00386-6.
• Chia-Chi Lu & Carl Hsin-han Shen & Pai-Ta Shih & Wei‐Che Tsai, 2023, "Option implied riskiness and risk-taking incentives of executive compensation," Review of Quantitative Finance and Accounting, Springer, volume 60, issue 3, pages 1143-1160, April, DOI: 10.1007/s11156-022-01123-2.
• David T. Frazier & Ryan Covey & Gael M. Martin & Donald S. Poskitt, 2023, "Solving the Forecast Combination Puzzle," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 18/23.
• Bo Zhang & Jiti Gao & Guangming Pan & Yanrong Yang, 2023, "Eigen-Analysis for High-Dimensional Time Series Clustering," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 22/23.
• Jonathan Proctor & Tamma Carleton & Sandy Sum, 2023, "Parameter Recovery Using Remotely Sensed Variables," NBER Working Papers, National Bureau of Economic Research, Inc, number 30861, Jan.
• Christopher Conlon & Jeff Gortmaker, 2023, "Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP," NBER Working Papers, National Bureau of Economic Research, Inc, number 31605, Aug.
• James J. Heckman & Rodrigo Pinto, 2023, "Econometric Causality: The Central Role of Thought Experiments," NBER Working Papers, National Bureau of Economic Research, Inc, number 31945, Dec.
• M. Adam & O. Bonnet & E. Fize & T. Loisel & M. Rault & L. Wilner, 2023, "How does fuel demand respond to price changes? Quasi-experimental evidence based on high-frequency data," Documents de Travail de l'Insee - INSEE Working Papers, Institut National de la Statistique et des Etudes Economiques, number 2023-17.
• Ekaterina Tosheva & Gabriela M. Yordanov & Ekaterina L. Markova, 2023, "Online Survey Data on Economic Effects of Lockdowns and Post-Stratification Data Adjustment: Evidence from Bulgaria," Economic Alternatives, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 5-25, March.
• Venance Shillingi & Eliza Mwakasangula, 2023, "Students’ Copying Strategies With Covid-19 Pandemic In Tanzania: A Cross Sectional Study Of Universities In Morogoro Municipality," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, volume 8, issue 1, pages 26-39, March, DOI: http://doi.org/10.47535/1991ojbe162.
• Stan Hurn & Kenneth Lindsay & Lina Xu, 2023, "A Comparative Study of Likelihood Approximations for Univariate Diffusions," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 3, pages 852-879.
• Amanda E Kowalski, 2023, "Behaviour within a Clinical Trial and Implications for Mammography Guidelines," The Review of Economic Studies, Review of Economic Studies Ltd, volume 90, issue 1, pages 432-462.
• Salvador Barberà & Walter Bossert & Juan D. Moreno-Ternero, 2023, "Wine rankings and the Borda method," Working Papers, Universidad Pablo de Olavide, Department of Economics, number 23.04.
• Naina Narang & Seema Gupta & Naliniprava Tripathy, 2023, "A bibliometric analysis of governance mechanisms in dividend decisions: an overview and emerging trends," International Journal of Disclosure and Governance, Palgrave Macmillan, volume 20, issue 4, pages 410-430, December, DOI: 10.1057/s41310-023-00184-6.
• Olkhov, Victor, 2023, "Economic complexity limits accuracy of price probability predictions by gaussian distributions," MPRA Paper, University Library of Munich, Germany, number 118373, Aug.
• Liu, Kaiola, 2023, "Quantitative and Qualitative Finance: ADSM," MPRA Paper, University Library of Munich, Germany, number 118399, Aug.
• Zhao, Qiyi C., 2023, "Rethinking “Distance From”: Lessons from Wittenberg and Mainz," MPRA Paper, University Library of Munich, Germany, number 118414, Jun.
• Slichter, David & Tran, Nhan, 2023, "Do better journals publish better estimates?," MPRA Paper, University Library of Munich, Germany, number 118433, May.
• Olsen, Jonas & Wehberg, Sonja, 2023, "Ensuring anonymity in comparison of institutional performance in large-scale register data using heatmap infused funnel plots," MPRA Paper, University Library of Munich, Germany, number 119173.
• Kadir, Kadir & Prasetyo, Octavia Rizky, 2023, "Can Paddy Growing Phase Produce an Accurate Forecast of Paddy Harvested Area in Indonesia? Analysis of the Area Sampling Frame Results," MPRA Paper, University Library of Munich, Germany, number 119893, Aug, revised 15 Sep 2023.
• Jonathan H.W. Tan & Zhao Zichen & Daniel John Zizzo, 2023, "Scientific Inference from Field and Laboratory Economic Experiments: Empirical Evidence," Discussion Papers Series, School of Economics, University of Queensland, Australia, number 663, May.
• Ciril Bosch-Rosa & Bernhard Kassner, 2023, "Non-Standard Errors," Rationality and Competition Discussion Paper Series, CRC TRR 190 Rationality and Competition, number 385, Feb.
• Juri Trifonov, 2023, "Modeling the risk premium in the Russian stock market considering the asymmetry effect," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 71, pages 5-19.
• Georges Dionne, 2023, "Causality in empirical analyses with emphasis on asymmetric information and risk management," Working Papers, HEC Montreal, Canada Research Chair in Risk Management, number 23-4, Oct.
• Ebrahim Merza & Imad A. Moosa, 2023, "Pitfalls in Econometric Forecasting with Illustrations from Exchange Rate Economics," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, volume 76, issue 2, pages 147-172.
• Abubakar Abdullahi & Saifuzzaman Ibrahim & Law Siong Hook & Wan Azman Saini Wan Ngah, 2023, "Impact of Financial Integration on Economic Development: A Dynamic Panel Quantile Regression Analysis," Journal of Economic Integration, Center for Economic Integration, Sejong University, volume 38, issue 4, pages 628-645.
• Chris Stewart, 2023, "The autoregressive distributed lag bounds test generalised to consider a long-run levels relationship when all levels variables are ?(?)," Economics Discussion Papers, School of Economics, Kingston University London, number 2023-2, Dec.
• Somayeh Sadat Sajadi & Aliakbar Khosravinejad & Houshang Momeni Vesalian & Ghodratollah Emamverdi, 2023, "Investigating the Causal Relationship Between Bank Credits and Economic Growth: Markov Switching Nonlinear Granger Causality Approach," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 10, issue 2, pages 31-64.
• Hayat SHAHID & Amena UROOJ & Zahid ASGHAR, 2023, "Impact of Seasonal Level Shift (SLS) on Time Series Forecasting," Journal for Economic Forecasting, Institute for Economic Forecasting, volume 0, issue 1, pages 107-128, March.
• Vicente Fruet & Daniel Campos & Lorena Caridad, 2023, "Itaipu Binational Dam: A Quantitative Analysis of the Economic and Social Impacts in Paraguay. Successful or not?," SAGE Open, , volume 13, issue 4, pages 21582440231, December, DOI: 10.1177/21582440231216820.
• Emilia Tomczyk & Barbara Kowalczyk, 2023, "Consensus in Business Tendency Surveys: Comparison of Alternative Measures," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 17-29.
• Lars-H. R. Siemers, 2023, "The Hamilton Regression in Comparison: Evidence from German Business Cycles Since 1950," Volkswirtschaftliche Diskussionsbeiträge, Universität Siegen, Fakultät Wirtschaftswissenschaften, Wirtschaftsinformatik und Wirtschaftsrecht, number 195-23.
• Duo Qin, 2023, "Redirect the Probability Approach in Econometrics Towards PAC Learning, Part II," Working Papers, Department of Economics, SOAS University of London, UK, number 256, Mar, revised Mar 2023.
• Simone Cerreia-Vioglio & Fulvio Ortu & Federico Severino & Claudio Tebaldi, 2023, "Multivariate Wold decompositions: a Hilbert A-module approach," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 46, issue 1, pages 45-96, June, DOI: 10.1007/s10203-023-00392-3.
• Alexandra M. Espinosa & Ignacio Díaz-Emparanza, 2023, "Assessing the Spanish immigration policy with frequency-wise causality in Hosoya’s sense," Empirical Economics, Springer, volume 65, issue 1, pages 111-147, July, DOI: 10.1007/s00181-022-02328-z.
• Kajal Lahiri & Cheng Yang, 2023, "A tale of two recession-derivative indicators," Empirical Economics, Springer, volume 65, issue 2, pages 925-947, August, DOI: 10.1007/s00181-023-02361-6.
• David Neto, 2023, "Penalized leads-and-lags cointegrating regression: a simulation study and two empirical applications," Empirical Economics, Springer, volume 65, issue 2, pages 949-971, August, DOI: 10.1007/s00181-023-02362-5.
• Anne-Gaëlle Corroller & Julia Bonastre, 2023, "Patient-reported measures: how useful in health economics?," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), volume 24, issue 1, pages 1-4, February, DOI: 10.1007/s10198-022-01524-z.
• Ângela Jornada Ben & Johanna M. Dongen & Aureliano Paolo Finch & Mohamed El Alili & Judith E. Bosmans, 2023, "To what extent does the use of crosswalks instead of EQ-5D value sets impact reimbursement decisions?: a simulation study," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), volume 24, issue 8, pages 1253-1270, November, DOI: 10.1007/s10198-022-01539-6.
• Katsuyuki Kaneko & Yuya Kajikawa, 2023, "Novelty Score and Technological Relatedness Measurement Using Patent Information in Mergers and Acquisitions: Case Study in the Japanese Electric Motor Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, volume 24, issue 2, pages 163-177, June, DOI: 10.1007/s40171-022-00330-z.
• Seung-Joon Park, 2023, "A re-examination of Granger causality between government expenditure and GDP," International Journal of Economic Policy Studies, Springer, volume 17, issue 2, pages 533-550, August, DOI: 10.1007/s42495-023-00114-y.
• Kajal Lahiri & Cheng Yang, 2023, "ROC and PRC Approaches to Evaluate Recession Forecasts," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 19, issue 2, pages 119-148, September, DOI: 10.1007/s41549-023-00082-4.
• Koki Kyo & Genshiro Kitagawa, 2023, "A Moving Linear Model Approach for Extracting Cyclical Variation from Time Series Data," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 19, issue 3, pages 373-397, November, DOI: 10.1007/s41549-023-00089-x.
• Eduard Storm, 2023, "On the measurement of tasks: does expert data get it right?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), volume 57, issue 1, pages 1-24, December, DOI: 10.1186/s12651-023-00332-z.
• Simon Bruhn & Thomas Grebel & Lionel Nesta, 2023, "The fallacy in productivity decomposition," Journal of Evolutionary Economics, Springer, volume 33, issue 3, pages 797-835, July, DOI: 10.1007/s00191-023-00816-8.
• Pawan Kumar Singh & Alok Kumar Pandey & S. C. Bose, 2023, "A new grey system approach to forecast closing price of Bitcoin, Bionic, Cardano, Dogecoin, Ethereum, XRP Cryptocurrencies," Quality & Quantity: International Journal of Methodology, Springer, volume 57, issue 3, pages 2429-2446, June, DOI: 10.1007/s11135-022-01463-0.
• Arnab Chakrabarti & Rituparna Sen, 2023, "Copula Estimation for Nonsynchronous Financial Data," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, volume 85, issue 1, pages 116-149, May, DOI: 10.1007/s13571-022-00276-3.
• Boris Forthmann, 2023, "Researcher capacity estimation based on the Q model: a generalized linear mixed model perspective," Scientometrics, Springer;Akadémiai Kiadó, volume 128, issue 8, pages 4753-4764, August, DOI: 10.1007/s11192-023-04756-9.
• Merwe Oberholzer & Pieter W. Buys, 2023, "A Roadmap to Business Research," Springer Books, Springer, chapter 0, in: Pieter W. Buys & Merwe Oberholzer, "Business Research", DOI: 10.1007/978-981-19-9479-1_2.
• James K. Binkley & Jeffrey S. Young, 2023, "The Chow Test with Time Series-Cross Section Data," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, volume 12, issue 1, pages 1-3.
• Szabolcs Deak & Paul Levine & Afrasiab Mirza & Son Pham, 2023, "Negotiating the Wilderness of Bounded Rationality through Robust Policy," School of Economics Discussion Papers, School of Economics, University of Surrey, number 0223, Mar.
• Paul Levine & Joseph Pearlman & Stephen Wright & Bo Yang, 2023, "Imperfect Information and Hidden Dynamics," School of Economics Discussion Papers, School of Economics, University of Surrey, number 1223, Oct.
• Dieter von Fintel & Calumet Links & Erik Green, 2023, "Estimating historical inequality from social tables: Towards Methodological Consistency," Working Papers, Stellenbosch University, Department of Economics, number 01/2023.
• Utteeyo Dasgupta & Subha Mani & Smriti Sharma & Saurabh Singhal, 2023, "Social Identity, Behavior, and Personality: Evidence from India," Journal of Development Studies, Taylor & Francis Journals, volume 59, issue 4, pages 472-489, April, DOI: 10.1080/00220388.2022.2139607.
• Gordon Anderson, 2023, "A Coefficient of Variation for Multivariate Ordered Categorical Outcomes," Working Papers, University of Toronto, Department of Economics, number tecipa-757, Sep.
• Moinas, Sophie & Declerck, Fany & Menkveld, Albert J. & Dreber, Anna, 2023, "Non-Standard Errors," TSE Working Papers, Toulouse School of Economics (TSE), number 23-1451, Jun.
• Gaël Le Mens & Balász Kovács & Michael T. Hannan & Guillem Pros, 2023, "Uncovering the semantics of concepts using GPT-4 and Other recent large language models," Economics Working Papers, Department of Economics and Business, Universitat Pompeu Fabra, number 1864, Jun.
• Ellis Scharfenaker, Duncan K. Foley, 2023, "The Neutrality of Money Reconsidered: A Statistical Equilibrium Model of the Labor Market," Working Paper Series, Department of Economics, University of Utah, University of Utah, Department of Economics, number 2023_02.
• Milovanović Miloš, 2023, "The Relationship between Fertility and Female Participation in the Labour Force in OECD Countries 2000–2020: It Is (Again) Negative," Central European Economic Journal, Sciendo, volume 10, issue 57, pages 254-274, January, DOI: 10.2478/ceej-2023-0015.
• Zsigó Zsanett, 2023, "Methodologies for Measuring Mobility in Covid-19 Research," Economic and Regional Studies / Studia Ekonomiczne i Regionalne, Sciendo, volume 16, issue 2, pages 186-202, June, DOI: 10.2478/ers-2023-0013.
• Amor Aniss Benmoussa, Reinhard Ellwanger, Stephen Snudden, 2023, "Carpe Diem: Can daily oil prices improve model-based forecasts of the real price of crude oil?," LCERPA Working Papers, Laurier Centre for Economic Research and Policy Analysis, number bm0141, Dec.
• Oliver Borgards & Robert L. Czudaj, 2023, "Long‐short speculator sentiment in agricultural commodity markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 28, issue 4, pages 3511-3528, October, DOI: 10.1002/ijfe.2605.
• Ali Hortaçsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2023, "Demand estimation with infrequent purchases and small market sizes," Quantitative Economics, Econometric Society, volume 14, issue 4, pages 1251-1294, November, DOI: 10.3982/QE2147.
• Zhao, T.; & Sutton, M.; & Meacock, M.;, 2023, "Use of compositional covariates in linear regression: problems and solutions," Health, Econometrics and Data Group (HEDG) Working Papers, HEDG, c/o Department of Economics, University of York, number 23/16, Nov.
• Webel, Karsten & Smyk, Anna, 2023, "Towards seasonal adjustment of infra-monthly time series with JDemetra+," Discussion Papers, Deutsche Bundesbank, number 24/2023.
• Egerer, Elsa, 2023, "Wie gestaltend forschen? Zur Methodologie und Methode einer transdisziplinären Gestaltungsforschung zu volkswirtschaftlichen Fragen," Working Paper Serie des Instituts für Ökonomie, Hochschule für Gesellschaftsgestaltung (HfGG), Institut für Ökonomie, number 71.
• Li, Hao & Millimet, Daniel L. & Roychowdhury, Punarjit, 2023, "Measuring Economic Mobility in India Using Noisy Data: A Partial Identification Approach," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1227.
• Ankel-Peters, Jörg & Fiala, Nathan & Neubauer, Florian, 2023, "Do Economists Replicate?," I4R Discussion Paper Series, The Institute for Replication (I4R), number 13.
• Theodosio, Bruno Miller & Weber, Jan, 2023, "Back to the classics: R-evolution towards statistical equilibria," ifso working paper series, University of Duisburg-Essen, Institute for Socioeconomics (ifso), number 28.
• Heinisch, Katja & Holtemöller, Oliver & Schult, Christoph, 2023, "Dekarbonisierung in Europa: Regionalwirtschaftliche Effekte in ausgewählten Kohleregionen und kohlenstoffintensiven Regionen Europas," Wirtschaft im Wandel, Halle Institute for Economic Research (IWH), volume 29, issue 3, pages 56-62.
• Bruhn, Simon & Grebel, Thomas & Nesta, Lionel, 2023, "The fallacy in productivity decomposition," Ilmenau Economics Discussion Papers, Ilmenau University of Technology, Institute of Economics, number 180.

2022

• Lawan Bello & Mohamed Aslam Haneef, 2022, "Trends and Contributions in Islamic Economics Research: A Decade Bibliometric Analysis of Four Journals in Scopus Database الاتجاهات والمساهمات في أبحاث الاقتصاد الإسلامي: تحليل إحصائي ( ببليومتري) لأربع مجلات مصنفة في قاعدة بيانات سكوبس خلال الفترة ," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., volume 35, issue 2, pages 3-19, July, DOI: 10.4197/Islec.35-2.1.
• Barberà, Salvador & Bossert, Walter & Moreno-Ternero, Juan D., 2022, "Wine rankings and the Borda method," Working Papers, American Association of Wine Economists, number 321842, DOI: 10.22004/ag.econ.321842.
• Kneip, Alois & Simar, Léopold & Wilson, Paul W., 2022, "Conical FDH Estimators of General Technologies, with Applications to Returns to Scale and Malmquist Productivity Indices," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022024, Aug.
• Orsi, Renzo & Mouchart, Michel & Wunsch, Guillaume, 2022, "Causality in Econometric Modeling : From Theory to Structural Causal Modeling," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022024, Jun.
• Lena Janys, 2022, "Testing the Presence of Implicit Hiring Quotas with Application to German Universities," ECONtribute Discussion Papers Series, University of Bonn and University of Cologne, Germany, number 165, May.
• Davillas, Apostolos & de Oliveira, Victor Hugo & Jones, Andrew M., 2022, "Model of Errors in BMI Based on Self‐reported and Measured Anthropometrics with Evidence from Brazilian Data," CINCH Working Paper Series (since 2020), Duisburg-Essen University Library, DuEPublico, number 76143, Jun, DOI: 10.17185/duepublico/76143.
• Matias D. Cattaneo & Rocío Titiunik, 2022, "Regression Discontinuity Designs," Annual Review of Economics, Annual Reviews, volume 14, issue 1, pages 821-851, August, DOI: 10.1146/annurev-economics-051520-02.
• James J. Heckman & Rodrigo Pinto, 2022, "The Econometric Model for Causal Policy Analysis," Annual Review of Economics, Annual Reviews, volume 14, issue 1, pages 893-923, August, DOI: 10.1146/annurev-economics-051520-01.
• Davide Fiaschi & Cristina Tealdi, 2022, "The attachment of adult women to the Italian labour market in the shadow of COVID-19," Papers, arXiv.org, number 2202.13317, Feb, revised May 2023.
• Maximilian Kasy & Jann Spiess, 2022, "Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability," Papers, arXiv.org, number 2208.09638, Aug, revised Jul 2024.
• Reza Bradrania & Davood Pirayesh Neghab, 2022, "State-dependent Asset Allocation Using Neural Networks," Papers, arXiv.org, number 2211.00871, Nov.
• Johannes Huber, 2022, "An Augmented Steady-State Kalman Filter to Evaluate the Likelihood of Linear and Time-Invariant State-Space Models," Discussion Paper Series, Universitaet Augsburg, Institute for Economics, number 343, Apr.
• Tihana Skrinjaric & Maja Bukovsak, 2022, "Improving The Calibration Of Countercyclical Capital Buffer: New Indicators Of Credit Gap In Croatia," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, volume 31, issue 2, pages 541-568, december, DOI: 10.17818/EMIP/2022/2.10.
• Nadia von Jacobi & Vito Amendolagine, 2022, "What Feeds on What? Networks of Interdependencies between Culture and Institutions," Working Papers, SITES, number 11, Jun.
• Alexander Chudik & M. Hashem Pesaran & Ron P. Smith, 2022, "Revisiting the Great Ratios Hypothesis," BCAM Working Papers, Birkbeck Centre for Applied Macroeconomics, number 2203, Mar.
• Elyse Sullivan, 2022, "Examining recent revisions to CPI-common," Staff Analytical Notes, Bank of Canada, number 2022-15, Oct, DOI: 10.34989/san-2022-15.
• Mikael Khan & Elyse Sullivan, 2022, "Core inflation over the COVID-19 pandemic," Staff Analytical Notes, Bank of Canada, number 2022-17, Nov, DOI: 10.34989/san-2022-17.
• Pedro Elosegui & Mirta González & María Cecilia Pérez & Máximo Sangiácomo, 2022, "A Diffusion Index Analysis of the Argentinean Business Economic Cycle During the COVID-19 Pandemic," BCRA Working Paper Series, Central Bank of Argentina, Economic Research Department, number 2022105, Dec.
• Paolo Cimbali & Marco De Leonardis & Alessio Fiume & Barbara La Ganga & Luciana Meoli & Marco Orlandi, 2022, "A decision-making rule to detect insufficient data quality: an application of statistical learning techniques to the non-performing loans banking data?," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 666, Feb.
• Pasquale Maddaloni & Davide Nicola Continanza & Andrea del Monaco & Daniele Figoli & Marco di Lucido & Filippo Quarta & Giuseppe Turturiello, 2022, "Stacking machine-learning models for anomaly detection: comparing AnaCredit to other banking datasets," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 689, Apr.
• Michele Manna, 2022, "The bonfire of banknotes," Mercati, infrastrutture, sistemi di pagamento (Markets, Infrastructures, Payment Systems), Bank of Italy, Directorate General for Markets and Payment System, number 25, Jul.
• Pei Kuang & Kaushik Mitra & Li Tang, 2022, "Output Gap Estimation and Monetary Policy with Imperfect Knowledge," Discussion Papers, Department of Economics, University of Birmingham, number 22-09, Jul.
• Vittoria La Serra & Emiliano Svezia, 2022, "Statistical matching for anomaly detection in insurance assets granular reporting," IFC Working Papers, Bank for International Settlements, number 22, Oct.
• Daniel L. Millimet & Christopher F. Parmeter, 2022, "COVID‐19 severity: A new approach to quantifying global cases and deaths," Journal of the Royal Statistical Society Series A, Royal Statistical Society, volume 185, issue 3, pages 1178-1215, July, DOI: 10.1111/rssa.12826.
• Abdelhakim Aknouche & Christian Francq, 2022, "Stationarity and ergodicity of Markov switching positive conditional mean models," Journal of Time Series Analysis, Wiley Blackwell, volume 43, issue 3, pages 436-459, May, DOI: 10.1111/jtsa.12621.
• Jeffrey R. Bloem & Andrew J. Oswald, 2022, "The Analysis of Human Feelings: A Practical Suggestion for a Robustness Test," Review of Income and Wealth, International Association for Research in Income and Wealth, volume 68, issue 3, pages 689-710, September, DOI: 10.1111/roiw.12531.
• Caudill Steven B. & Bogosavljevic Ksenija & Johnson Ken H. & Mixon Franklin G., 2022, "Time on the Market and Probability of Sale Using a Generalized Geometric Hazard Model," Journal of Econometric Methods, De Gruyter, volume 11, issue 1, pages 1-16, January, DOI: 10.1515/jem-2020-0017.
• Topcu Guloksuz Cigdem & Kumar Pranesh, 2022, "A new bivariate Archimedean copula with application to the evaluation of VaR," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 26, issue 2, pages 273-285, April, DOI: 10.1515/snde-2019-0096.
• Chudik, A. & Pesaran, M. H. & Smith, R. P., 2022, "Revisiting the Great Ratios Hypothesis," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2215, Mar.
• Guinnane, T. W. & Hoffman, P., 2022, "Persistence and Historical Evidence: The Example of the Rise of the Nazi Party," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2271, Dec.
• Guinnane, T. W., 2022, "We do not know the Population of Every Country in the World for the Past Two Thousand Years," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2272, Dec.
• Tom Coupé & W. Robert Reed, 2022, "Do Negative Replications Affect Citations?," Working Papers in Economics, University of Canterbury, Department of Economics and Finance, number 22/02, Feb.
• Tom Coupé & W. Robert Reed, 2022, "Do Negative Replications Affect Citations?," Working Papers in Economics, University of Canterbury, Department of Economics and Finance, number 22/16, Sep.
• Alex Tian & Tom Coupé & Sayak Khatua & W. Robert Reed & Ben Wood, 2022, "Power to the Researchers: Calculating Power After Estimation," Working Papers in Economics, University of Canterbury, Department of Economics and Finance, number 22/17, Oct.
• Pilar Rey del Castillo, 2022, "Building Daily Economic Sentiment Indicators," CESifo Working Paper Series, CESifo, number 10087.
• Timothy W. Guinnane & Philip Hoffman & Timothy Guinnane, 2022, "Persistence and Historical Evidence: The Example of the Rise of the Nazi Party," CESifo Working Paper Series, CESifo, number 10095.
• Alexander Chudik & M. Hashem Pesaran & Ron P. Smith, 2022, "Revisiting the Great Ratios Hypothesis," CESifo Working Paper Series, CESifo, number 9625.
• Francesco Franzoni & Roxana Mihet & Markus Leippold & Per Ostberg & Olivier Scaillet & Norman Schürhoff & Oksana Bashchenko & Nicola Mano & Michele Pelli, 2022, "Non-Standard Errors," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 22-09, Jan.
• McCloskey, Adam & Michaillat, Pascal, 2022, "Incentive-Compatible Critical Values," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 16942, Jan.
• Héloise Cloléry & Guillaume Hollard & Fabien Perez & Inès Picard, 2022, "Should we trust measures of trust?," Working Papers, Center for Research in Economics and Statistics, number 2022-13, Jul.
• Millimet, Daniel L. & Parmeter, Christopher F., 2022, "Accounting for Skewed or One-Sided Measurement Error in the Dependent Variable," Political Analysis, Cambridge University Press, volume 30, issue 1, pages 66-88, January.
• Plamen Milev & Yavor Tabov, 2022, "Conceptual Approach For Presenting Text Data From Web-Based Information Systems In Structured Form," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 46-57.
• Пламен Милев & Явор Табов, 2022, "Концептуален Подход За Представяне На Текстови Данни От Уеб Базирани Информационни Системи В Структурирана Форма," Business Management, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 1 Year 20, pages 50-63.
• Morley, James & Palenzuela, Diego Rodriguez & Sun, Yiqiao & Wong, Benjamin, 2022, "Estimating the Euro Area output gap using multivariate information and addressing the COVID-19 pandemic," Working Paper Series, European Central Bank, number 2716, Aug.
• Vogl, Markus, 2022, "Controversy in financial chaos research and nonlinear dynamics: A short literature review," Chaos, Solitons & Fractals, Elsevier, volume 162, issue C, DOI: 10.1016/j.chaos.2022.112444.
• Quaye, Enoch & Tunaru, Radu, 2022, "The stock implied volatility and the implied dividend volatility," Journal of Economic Dynamics and Control, Elsevier, volume 134, issue C, DOI: 10.1016/j.jedc.2021.104276.
• Berger, Tino & Richter, Julia & Wong, Benjamin, 2022, "A unified approach for jointly estimating the business and financial cycle, and the role of financial factors," Journal of Economic Dynamics and Control, Elsevier, volume 136, issue C, DOI: 10.1016/j.jedc.2022.104315.
• Vandin, Andrea & Giachini, Daniele & Lamperti, Francesco & Chiaromonte, Francesca, 2022, "Automated and distributed statistical analysis of economic agent-based models," Journal of Economic Dynamics and Control, Elsevier, volume 143, issue C, DOI: 10.1016/j.jedc.2022.104458.
• Zhang, Yulian & Hamori, Shigeyuki, 2022, "A connectedness analysis among BRICS’s geopolitical risks and the US macroeconomy," Economic Analysis and Policy, Elsevier, volume 76, issue C, pages 182-203, DOI: 10.1016/j.eap.2022.08.004.
• Colak, Gonul & Fu, Mengchuan & Hasan, Iftekhar, 2022, "On modeling IPO failure risk," Economic Modelling, Elsevier, volume 109, issue C, DOI: 10.1016/j.econmod.2022.105790.
• Liu, Tuo & Xu, Xingbai & Lee, Lung-fei, 2022, "Consistency without compactness of the parameter space in spatial econometrics," Economics Letters, Elsevier, volume 210, issue C, DOI: 10.1016/j.econlet.2021.110224.
• Anghel, Dan Gabriel, 2022, "No pain, no gain: You should always incorporate trading costs for a bias-free evaluation of trading rule overperformance," Economics Letters, Elsevier, volume 216, issue C, DOI: 10.1016/j.econlet.2022.110584.
• Byrne, David P. & Imai, Susumu & Jain, Neelam & Sarafidis, Vasilis, 2022, "Instrument-free identification and estimation of differentiated products models using cost data," Journal of Econometrics, Elsevier, volume 228, issue 2, pages 278-301, DOI: 10.1016/j.jeconom.2021.12.006.
• Hansen, Peter Reinhard & Dumitrescu, Elena-Ivona, 2022, "How should parameter estimation be tailored to the objective?," Journal of Econometrics, Elsevier, volume 230, issue 2, pages 535-558, DOI: 10.1016/j.jeconom.2020.12.014.
• Zhu, Yinchu & Timmermann, Allan, 2022, "Conditional rotation between forecasting models," Journal of Econometrics, Elsevier, volume 231, issue 2, pages 329-347, DOI: 10.1016/j.jeconom.2021.10.006.
• Abdul Karim, Zulkefly & Nizam, Rosmah & Law, Siong Hook & Hassan, M. Kabir, 2022, "Does Financial Inclusiveness Affect Economic Growth? New Evidence Using a Dynamic Panel Threshold Regression," Finance Research Letters, Elsevier, volume 46, issue PA, DOI: 10.1016/j.frl.2021.102364.
• Aigner, Maximilian & Chavez-Demoulin, Valérie & Guillou, Armelle, 2022, "Measuring and comparing risks of different types," Insurance: Mathematics and Economics, Elsevier, volume 102, issue C, pages 1-21, DOI: 10.1016/j.insmatheco.2021.11.001.
• Yan, Yujie & Song, Kai-Sheng, 2022, "A general optimal approach to Bühlmann credibility theory," Insurance: Mathematics and Economics, Elsevier, volume 104, issue C, pages 262-282, DOI: 10.1016/j.insmatheco.2022.02.003.
• Fung, Tsz Chai, 2022, "Maximum weighted likelihood estimator for robust heavy-tail modelling of finite mixture models," Insurance: Mathematics and Economics, Elsevier, volume 107, issue C, pages 180-198, DOI: 10.1016/j.insmatheco.2022.08.008.
• Steinmetz, Julia & Jentsch, Carsten, 2022, "Asymptotic theory for Mack's model," Insurance: Mathematics and Economics, Elsevier, volume 107, issue C, pages 223-268, DOI: 10.1016/j.insmatheco.2022.08.007.