Research classified by Journal of Economic Literature (JEL) codes

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

2024

• Константин Колев & Мая Цоклинова, 2024, "Зависимост Между Основни Социално-Демографски Характеристики На Населението И Размера На Държавните Разходи За Социално Осигуряване И Подпомагане," Economic Archive, D. A. Tsenov Academy of Economics, Svishtov, Bulgaria, issue 2 Year 20, pages 65-79.
• Florent Bédécarrats & Isabelle Guérin & François Roubaud & Mireille Razafindrakoto, 2024, "Good times, hard times: les expériences randomisées pour le développement au temps du Covid-19 et au-delà," Working Papers, DIAL (Développement, Institutions et Mondialisation), number DT/2024/04, Mar.
• Ter Steege, Lucas, 2024, "Variational inference for Bayesian panel VAR models," Working Paper Series, European Central Bank, number 2991, Oct.
• Harold P.E. Ngalawa & Augustine Adebayo Kutu, 2024, "Public and Private Sector Capital Formation and Economic Growth in Malawi," International Journal of Economics and Financial Issues, Econjournals, volume 14, issue 5, pages 279-288, September.
• Palloma Silva & Roberta Amaral & Patricia Fortes & Isabel Soares, 2024, "Understanding the Influence of Wind and Solar PV on Socioeconomic and Environmental Trends: A Non-causality Perspective," International Journal of Energy Economics and Policy, Econjournals, volume 14, issue 5, pages 1-9, September.
• Noura Najia & Hanadi Taher & Ghassan Abed Elkader, 2024, "The Impact of Socio-cultural and Environmental Deterioration Factors on Economic Sustainability in G7 Countries," International Journal of Energy Economics and Policy, Econjournals, volume 14, issue 5, pages 141-148, September.
• Skinner, Benjamin T. & Doyle, William R., 2024, "Predicting postsecondary attendance by family income in the United States using multilevel regression with poststratification," Economics of Education Review, Elsevier, volume 99, issue C, DOI: 10.1016/j.econedurev.2024.102508.
• Li, Donglin & Wang, Wenyue & Ren, Yanyan, 2024, "Quantile estimation of heterogenous panel quantile model with group structure," Economics Letters, Elsevier, volume 241, issue C, DOI: 10.1016/j.econlet.2024.111798.
• Telg, Sean, 2024, "Time aggregation of mixed causal–noncausal models," Economics Letters, Elsevier, volume 244, issue C, DOI: 10.1016/j.econlet.2024.112019.
• Celhay, Pablo & Meyer, Bruce D. & Mittag, Nikolas, 2024, "What leads to measurement errors? Evidence from reports of program participation in three surveys," Journal of Econometrics, Elsevier, volume 238, issue 2, DOI: 10.1016/j.jeconom.2023.105581.
• Casini, Alessandro, 2024, "The fixed-b limiting distribution and the ERP of HAR tests under nonstationarity," Journal of Econometrics, Elsevier, volume 238, issue 2, DOI: 10.1016/j.jeconom.2023.105625.
• Kline, Brendan, 2024, "Classical p-values and the Bayesian posterior probability that the hypothesis is approximately true," Journal of Econometrics, Elsevier, volume 240, issue 1, DOI: 10.1016/j.jeconom.2024.105677.
• Daouia, Abdelaati & Padoan, Simone A. & Stupfler, Gilles, 2024, "Extreme expectile estimation for short-tailed data," Journal of Econometrics, Elsevier, volume 241, issue 2, DOI: 10.1016/j.jeconom.2024.105770.
• Casini, Alessandro & Perron, Pierre, 2024, "Prewhitened long-run variance estimation robust to nonstationarity," Journal of Econometrics, Elsevier, volume 242, issue 1, DOI: 10.1016/j.jeconom.2024.105794.
• Hu, Yingyao & Xin, Yi, 2024, "Identification and estimation of dynamic structural models with unobserved choices," Journal of Econometrics, Elsevier, volume 242, issue 2, DOI: 10.1016/j.jeconom.2024.105806.
• Buhl-Wiggers, Julie & Kerwin, Jason T. & Muñoz-Morales, Juan & Smith, Jeffrey & Thornton, Rebecca, 2024, "Some children left behind: Variation in the effects of an educational intervention," Journal of Econometrics, Elsevier, volume 243, issue 1, DOI: 10.1016/j.jeconom.2021.12.010.
• Heckman, James & Pinto, Rodrigo, 2024, "Econometric causality: The central role of thought experiments," Journal of Econometrics, Elsevier, volume 243, issue 1, DOI: 10.1016/j.jeconom.2024.105719.
• Liu, Yukun & Qin, Jing, 2024, "Tuning-parameter-free propensity score matching approach for causal inference under shape restriction," Journal of Econometrics, Elsevier, volume 244, issue 1, DOI: 10.1016/j.jeconom.2024.105829.
• Vu, Patrick, 2024, "Why are replication rates so low?," Journal of Econometrics, Elsevier, volume 245, issue 1, DOI: 10.1016/j.jeconom.2024.105868.
• Li, Rui & Fang, Debin & Xu, Jiajun, 2024, "Does China's carbon inclusion policy promote household carbon emissions reduction? Theoretical mechanisms and empirical evidence," Energy Economics, Elsevier, volume 132, issue C, DOI: 10.1016/j.eneco.2024.107462.
• Baruník, Jozef & Vácha, Lukáš, 2024, "Predicting the volatility of major energy commodity prices: The dynamic persistence model," Energy Economics, Elsevier, volume 140, issue C, DOI: 10.1016/j.eneco.2024.107982.
• Trifonov, Juri & Potanin, Bogdan, 2024, "GARCH-M model with an asymmetric risk premium: Distinguishing between ‘good’ and ‘bad’ volatility periods," International Review of Financial Analysis, Elsevier, volume 91, issue C, DOI: 10.1016/j.irfa.2023.102941.
• Heger, Julia & Min, Aleksey & Zagst, Rudi, 2024, "Analyzing credit spread changes using explainable artificial intelligence," International Review of Financial Analysis, Elsevier, volume 94, issue C, DOI: 10.1016/j.irfa.2024.103315.
• Gao, Guangyuan, 2024, "Fitting Tweedie's compound Poisson model to pure premium with the EM algorithm," Insurance: Mathematics and Economics, Elsevier, volume 114, issue C, pages 29-42, DOI: 10.1016/j.insmatheco.2023.10.002.
• Steinmetz, Julia & Jentsch, Carsten, 2024, "Bootstrap consistency for the Mack bootstrap," Insurance: Mathematics and Economics, Elsevier, volume 115, issue C, pages 83-121, DOI: 10.1016/j.insmatheco.2024.01.001.
• Berrisch, Jonathan & Ziel, Florian, 2024, "Multivariate probabilistic CRPS learning with an application to day-ahead electricity prices," International Journal of Forecasting, Elsevier, volume 40, issue 4, pages 1568-1586, DOI: 10.1016/j.ijforecast.2024.01.005.
• Gibbs, Christopher G. & Vasnev, Andrey L., 2024, "Conditionally optimal weights and forward-looking approaches to combining forecasts," International Journal of Forecasting, Elsevier, volume 40, issue 4, pages 1734-1751, DOI: 10.1016/j.ijforecast.2024.03.002.
• Eibinger, Tobias & Deixelberger, Beate & Manner, Hans, 2024, "Panel data in environmental economics: Econometric issues and applications to IPAT models," Journal of Environmental Economics and Management, Elsevier, volume 125, issue C, DOI: 10.1016/j.jeem.2024.102941.
• Dong, Luran & Lang, Corey & Parent, Jason, 2024, "Focusing the view: Improved methods for assessing viewshed impacts of onshore wind turbines," Journal of Environmental Economics and Management, Elsevier, volume 128, issue C, DOI: 10.1016/j.jeem.2024.103068.
• Cronqvist, Henrik & Ladika, Tomislav & Pazaj, Elisa & Sautner, Zacharias, 2024, "Limited attention to detail in financial markets: Evidence from reduced-form and structural estimation," Journal of Financial Economics, Elsevier, volume 154, issue C, DOI: 10.1016/j.jfineco.2024.103811.
• Elosegui, Pedro & González, Mirta & Pérez, María Cecilia & Sangiácomo, Máximo, 2024, "A diffusion index analysis of the Argentinean business economic cycle based on the “Survey of Business Economic Perspectives”," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 5, issue 2, DOI: 10.1016/j.latcb.2023.100108.
• Rosati, Nicoletta & Bomprezzi, Pietro & Martinez Cillero, Maria, 2024, "Critical dimensions in the empirical measurement of common shareholding," Research in International Business and Finance, Elsevier, volume 70, issue PA, DOI: 10.1016/j.ribaf.2024.102315.
• Coleman, Thomas S., 2024, "Re-evaluating John Snow's 1856 south London study," Social Science & Medicine, Elsevier, volume 344, issue C, DOI: 10.1016/j.socscimed.2024.116612.
• Gunes Kamber & James Morley & Benjamin Wong, 2024, "Trend-Cycle Decomposition in the Presence of Large Shocks," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2024-24, Mar, revised Aug 2024.
• Carlos Alexander Grajales & Katherine Albanés Uribe, 2024, "ESG and financial performance via uncertain mining technology: do Multilatinas contribute to the sustainability of the region?," Journal of Economics, Finance and Administrative Science, Emerald Group Publishing Limited, volume 29, issue 58, pages 366-386, June, DOI: 10.1108/JEFAS-02-2024-0040.
• Jacek Rudewicz, 2024, "Theoretical Insights into Artificial Intelligence Applications in Human Geography and Spatial Management (GeoAI)," European Research Studies Journal, European Research Studies Journal, volume 0, issue 4, pages 973-984.
• Alessio MITRA & Erik CANTON & Julien RAVET & Jan-Tjibbe STEEMAN, 2024, "The added value of European investments in research and innovation," EU research and innovation paper series, Directorate General for Research and Innovation (DG RTD) of the European Commission, number KI-BD-24-003-EN-N, Feb, DOI: 10.2777/682623.
• Bruno Bosco & Carlo Federico Bosco & Paolo Maranzano, 2024, "Income taxation and labour response. Empirical evidence from a DID analysis of an income tax treatment in Italy," Working Papers, Fondazione Eni Enrico Mattei, number 2024.16, Jun.
• Osborne Jackson, 2024, "The Impact of Market Factors on Racial Identity: Evidence from Multiracial Survey Respondents," Working Papers, Federal Reserve Bank of Boston, number 24-13, Oct, DOI: 10.29412/res.wp.2024.13.
• Thomas R. Cook & Zach Modig & Nathan M. Palmer, 2024, "Explaining Machine Learning by Bootstrapping Partial Marginal Effects and Shapley Values," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2024-075, Sep, DOI: 10.17016/FEDS.2024.075.
• Matias D. Cattaneo & Richard K. Crump & Max H. Farrell & Yingjie Feng, 2024, "Nonlinear Binscatter Methods," Staff Reports, Federal Reserve Bank of New York, number 1110, Aug, DOI: 10.59576/sr.1110.
• Tassos Magdalinos & Katerina Petrova, 2024, "OLS Limit Theory for Drifting Sequences of Parameters on the Explosive Side of Unity," Staff Reports, Federal Reserve Bank of New York, number 1113, Aug, DOI: 10.59576/sr.1113.
• Şukran Kahveci & Asiye Tutuncu, 2024, "Impact Of Covid-19 Pandemic On Turkey'S Exports To Major Trade Partners: Gravity Model Approach," Ekonomi Maliye Isletme Dergisi, Adil AKINCI, volume 7, issue 1, pages 37-53, July, DOI: 10.46737/emid.1408781.
• Tobias Eibinger & Beate Deixelberger & Hans Manner, 2024, "Estimating IPAT Models Using Panel Data," Graz Economics Papers, University of Graz, Department of Economics, number 2024-01, Jan.
• Albert Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüß & Michael Razen & Utz Weitzel & David Abad-Díaz & Tobias Adrian & Yacine Ai, 2024, "Nonstandard Errors," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number hal-05077550, Apr, DOI: 10.1111/jofi.13337.
• Abdelaati Daouia & Simone A. Padoan & Gilles Stupfler, 2024, "Extreme expectile estimation for short-tailed data," Post-Print, HAL, number hal-04672516, DOI: 10.1016/j.jeconom.2024.105770.
• Albert Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüß & Michael Razen & Utz Weitzel & David Abad-Díaz & Tobias Adrian & Yacine Ai, 2024, "Nonstandard Errors," Post-Print, HAL, number hal-04676112, Apr, DOI: 10.1111/jofi.13337.
• Albert Menkveld & Anna Dreber & Felix Holzmeister & Juergen Huber & Magnus Johannesson & Michael Kirchler & Sebastian Neusüß & Michael Razen & Utz Weitzel & David Abad-Díaz & Tobias Adrian & Yacine Ai, 2024, "Nonstandard Errors," Post-Print, HAL, number hal-05077550, Apr, DOI: 10.1111/jofi.13337.
• Florent Bédecarrats & Isabelle Guérin & Mireille Razafindrakoto & François Roubaud, 2024, "Good times, hard times : les expériences randomisées pour le développement au temps du Covid-19 et au-delà," Working Papers, HAL, number hal-04961181.
• Schmillen, Achim & Umkehrer, Matthias & Wachter, Till von, 2024, "Measurement error in longitudinal earnings data: evidence from Germany," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], volume 58, pages 1-8, DOI: 10.1186/s12651-024-00366-x.
• Srijit Mishra, 2024, "Methodological nuances in estimating proportion and number of poor for states and India, 2022-23," Indira Gandhi Institute of Development Research, Mumbai Working Papers, Indira Gandhi Institute of Development Research, Mumbai, India, number 2024-010, Jun.
• Joaquín Prieto, 2024, "Degrees of vulnerability to poverty: A low-income dynamics approach for Chile," Working Papers, ECINEQ, Society for the Study of Economic Inequality, number 666, Feb.
• Fiaschi, Davide & Tealdi, Cristina, 2024, "Let's Roll Back! The Challenging Task of Regulating Temporary Contracts," IZA Discussion Papers, Institute of Labor Economics (IZA), number 16777, Jan.
• Millimet, Daniel L., 2024, "(Don't) Walk This Way: The Econometrics of Crosswalks," IZA Discussion Papers, Institute of Labor Economics (IZA), number 17154, Jul.
• Kasy, Maximilian & Spiess, Jann, 2024, "Optimal Pre-analysis Plans: Statistical Decisions Subject to Implementability," IZA Discussion Papers, Institute of Labor Economics (IZA), number 17187, Jul.
• Johannes Carow, 2024, "A critical assessment of the two-way fixed-effects model for firm-level dependent variables," Working Papers, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, number 2405, Mar.
• Aparna Gupta & Vipula Rawte & Mohammed J. Zaki, 2024, "Predicting Firm Financial Performance from SEC Filing Changes Using Automatically Generated Dictionary," Computational Economics, Springer;Society for Computational Economics, volume 64, issue 1, pages 307-334, July, DOI: 10.1007/s10614-023-10443-x.
• Antoine Giannetti, 2024, "A simple test of misspecification for linear asset pricing models," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, volume 38, issue 3, pages 305-330, September, DOI: 10.1007/s11408-024-00445-6.
• Peter A. Rogerson, 2024, "Inspired by Art," Journal of Geographical Systems, Springer, volume 26, issue 2, pages 235-248, April, DOI: 10.1007/s10109-023-00431-y.
• Yukio Sadahiro & Hidetaka Matsumoto, 2024, "Analysis of a spatial point pattern in relation to a reference point," Journal of Geographical Systems, Springer, volume 26, issue 3, pages 351-373, July, DOI: 10.1007/s10109-023-00434-9.
• Yijiang Zhao & Daoan Zhang & Lei Jiang & Qi Liu & Yizhi Liu & Zhuhua Liao, 2024, "EIBC: a deep learning framework for Chinese toponym recognition with multiple layers," Journal of Geographical Systems, Springer, volume 26, issue 3, pages 407-425, July, DOI: 10.1007/s10109-024-00441-4.
• Kevin Credit, 2024, "Introduction to the special issue on spatial machine learning," Journal of Geographical Systems, Springer, volume 26, issue 4, pages 451-460, October, DOI: 10.1007/s10109-024-00452-1.
• Alecos Papadopoulos, 2024, "Some notes on the asymmetry of the regression error," Journal of Productivity Analysis, Springer, volume 61, issue 1, pages 37-42, February, DOI: 10.1007/s11123-023-00705-z.
• Alecos Papadopoulos & Christopher F. Parmeter, 2024, "The wrong skewness problem in stochastic frontier analysis: a review," Journal of Productivity Analysis, Springer, volume 61, issue 2, pages 121-134, April, DOI: 10.1007/s11123-023-00708-w.
• Raffaele Marchi & Alessandro Moro, 2024, "Forecasting Fiscal Crises in Emerging Markets and Low-Income Countries with Machine Learning Models," Open Economies Review, Springer, volume 35, issue 1, pages 189-213, February, DOI: 10.1007/s11079-023-09722-9.
• Jesus Felipe & John McCombie & Aashish Mehta, 2024, "The Estimation of Production Functions with Monetary Values," Economics Working Paper Archive, Levy Economics Institute, number wp_1036, Jan.
• Lars-H. R. Siemers, 2024, "On the Hamilton-HP Filter Controversy: Evidence from German Business Cycles," MAGKS Papers on Economics, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 202421.
• Isaiah Andrews & Jesse M. Shapiro, 2024, "Communicating Scientific Uncertainty via Approximate Posteriors," NBER Working Papers, National Bureau of Economic Research, Inc, number 32038, Jan.
• Mohamed Coulibaly & Yu-Chin Hsu & Ismael Mourifié & Yuanyuan Wan, 2024, "A Sharp Test for the Judge Leniency Design," NBER Working Papers, National Bureau of Economic Research, Inc, number 32456, May.
• Timothy Armstrong & Patrick M. Kline & Liyang Sun, 2024, "Adapting to Misspecification," NBER Working Papers, National Bureau of Economic Research, Inc, number 32906, Sep.
• Ori Heffetz & Guy Lichtinger & Daniel B. Reeves, 2024, "Assessing Nonresponse Bias in Macro Indicators by Combining Para-, Administrative, and Survey Data," NBER Working Papers, National Bureau of Economic Research, Inc, number 32935, Sep.
• Kirill Borusyak & Peter Hull & Xavier Jaravel, 2024, "A Practical Guide to Shift-Share Instruments," NBER Working Papers, National Bureau of Economic Research, Inc, number 33236, Dec.
• G. Charrance, 2024, "La disponibilite des coordonnees de contact dans Fideli-Nautile : Quels enseignements pour les protocoles de collecte," Documents de Travail de l'Insee - INSEE Working Papers, Institut National de la Statistique et des Etudes Economiques, number m2024-02.
• A. Smyk & K. Webel, 2024, "Vers une désaisonnalisation des séries temporelles infra-mensuelles avec JDemetra+," Documents de Travail de l'Insee - INSEE Working Papers, Institut National de la Statistique et des Etudes Economiques, number m2024-04.
• Venance SHILLINGI & Eliza MWAKASANGULA, 2024, "The Influence Of Organizational Resources On Implementation Of Strategic Plans In Tanzanian’S Local Government Authorities," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, volume 9, issue 1, pages 19-33, March, DOI: http://doi.org/10.47535/1991ojbe179.
• Masselus, Lise & Petrik, Christina & Ankel-Peters, Jörg, 2024, "Lost in the Design Space? Construct Validity in the Microfinance Literature," OSF Preprints, Center for Open Science, number nwp8k, Aug, DOI: 10.31219/osf.io/nwp8k.
• Garg, Prashant & Fetzer, Thiemo, 2024, "Causal Claims in Economics," OSF Preprints, Center for Open Science, number u4vgs, Nov, DOI: 10.31219/osf.io/u4vgs.
• Massimo Morelli & Laura Ogliari & Long Hong, 2024, "Power mismatch and civil conflict: an empirical investigation," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, volume 39, issue 117, pages 45-105.
• Todd Mitton, 2024, "Economic Significance in Corporate Finance," The Review of Corporate Finance Studies, Society for Financial Studies, volume 13, issue 1, pages 38-79.
• Maximilian Kasy & Jann Spiess, 2024, "Optimal Pre-Analysis Plans: Statistical Decisions Subject to Implementability," Economics Series Working Papers, University of Oxford, Department of Economics, number 1058, Dec.
• Pillai N., Vijayamohanan & A., Rju Mohan, 2024, "Perfect Multicollinearity and Dummy Variable Trap: Explaining the Unexplained," MPRA Paper, University Library of Munich, Germany, number 120376, Mar.
• Aknouche, Abdelhakim & Rabehi, Nadia, 2024, "Inspecting a seasonal ARIMA model with a random period," MPRA Paper, University Library of Munich, Germany, number 120758, Apr.
• Bruna, Fernando, 2024, "Market Potential, panel data, and aggregate fluctuations: All that glitters is not gold," MPRA Paper, University Library of Munich, Germany, number 121949, Aug.
• Elena Kotyrlo, 2024, "Simple and complex difference-in-differences approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), volume 73, pages 119-142.
• Gebhard Geiger, 2024, "Catastrophic risk: indication, quantitative assessment and management of rare extreme events using a non-expected utility framework," Annals of Operations Research, Springer, volume 343, issue 1, pages 223-261, December, DOI: 10.1007/s10479-024-06259-z.
• Yoshiharu Maeno, 2024, "Inverse problem solver for epidemiological geographic profiling," Evolutionary and Institutional Economics Review, Springer, volume 21, issue 2, pages 237-248, September, DOI: 10.1007/s40844-024-00281-3.
• Apostolos Davillas & Victor Hugo Oliveira & Andrew M. Jones, 2024, "A model of errors in BMI based on self-reported and measured anthropometrics with evidence from Brazilian data," Empirical Economics, Springer, volume 67, issue 5, pages 2371-2410, November, DOI: 10.1007/s00181-024-02616-w.
• Atif Awad, 2024, "Do ICT and economic globalisation offer benefits to all nations? Findings from a moments quantile regression," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, volume 26, issue 3, pages 5817-5841, March, DOI: 10.1007/s10668-023-02938-2.
• Lars-H. R. Siemers, 2024, "On the Hamilton-HP Filter Controversy: Evidence from German Business Cycles," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 20, issue 3, pages 367-409, November, DOI: 10.1007/s41549-025-00107-0.
• Boubekeur Baba, 2024, "Spillovers of good and bad volatility in Asian emerging markets: insights from global and regional perspectives," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 48, issue 4, pages 1233-1274, December, DOI: 10.1007/s12197-024-09696-5.
• Onkokame Mothobi & Kago Kebotsamang, 2024, "The impact of network coverage on adoption of Fintech and financial inclusion in sub-Saharan Africa," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), volume 13, issue 1, pages 1-19, December, DOI: 10.1186/s40008-023-00326-7.
• Achim Schmillen & Matthias Umkehrer & Till Wachter, 2024, "Measurement error in longitudinal earnings data: evidence from Germany," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), volume 58, issue 1, pages 1-31, December, DOI: 10.1186/s12651-024-00366-x.
• Fernando Bruna, 2024, "Market potential: the measurement of domestic market size," Letters in Spatial and Resource Sciences, Springer, volume 17, issue 1, pages 1-12, December, DOI: 10.1007/s12076-024-00378-8.
• Vittoria La Serra & Emiliano Svezia, 2024, "A supervised record linkage approach for anomaly detection in insurance assets granular data," Quality & Quantity: International Journal of Methodology, Springer, volume 58, issue 5, pages 4181-4205, October, DOI: 10.1007/s11135-023-01824-3.
• Riadh Trabelsi, 2024, "Sources of macroeconomic fluctuations in Tunisia: a structural VAR approach," SN Business & Economics, Springer, volume 4, issue 10, pages 1-28, October, DOI: 10.1007/s43546-024-00717-3.
• Iskandar Patrick Abadoma Mounpou & Donatien Eze Eze, 2024, "Bargaining power of African countries in the world health organisation: role of economic coalition," SN Business & Economics, Springer, volume 4, issue 12, pages 1-26, December, DOI: 10.1007/s43546-024-00748-w.
• Rodrigo García Arancibia & Ignacio Girela, 2024, "Graphical Representation of Multidimensional Poverty: Insights for Index Construction and Policy Making," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, volume 172, issue 2, pages 595-634, March, DOI: 10.1007/s11205-024-03325-8.
• Yuji Aruka, 2024, "Interpreting the Iterated Dilemma Games by Using the Presentation Like “Cellular Automatons”," Springer Texts in Business and Economics, Springer, chapter 0, "Evolutionary Economics", DOI: 10.1007/978-981-97-1382-0_4.
• Jack Fitzgerald, 2024, "Identifying the Impact of Hypothetical Stakes on Experimental Outcomes and Treatment Effects," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 24-070/I, Nov.
• Peder Isager & Jack Fitzgerald, 2024, "Three-Sided Testing to Establish Practical Significance: A Tutorial," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 24-077/III, Dec.
• Gordon Anderson & Oliver Linton, 2024, "Should Expected or Most Likely Returns be the Focus in Investment Decisions? Introducing “Most Likely†Versions of Sharpe and Sortino Ratios," Working Papers, University of Toronto, Department of Economics, number tecipa-787, Dec.
• Tworzydło Dariusz & Stasiuk-Krajewska Karina & Szuba Przemysław, 2024, "Does the Name Matter? Ways of Conducting Communication of Public Relations Agencies with the Public on the Basis of Quantitative-Corpus Research on Language," Marketing of Scientific and Research Organizations, Sciendo, volume 51, issue 1, pages 1-20, March, DOI: 10.2478/minib-2024-0001.
• Winkler Adalbert, 2024, "Evidenzbasierte Forschung – die Irrelevanz des Manipulationsverdachts," Wirtschaftsdienst, Sciendo, volume 104, issue 6, pages 403-406, DOI: 10.2478/wd-2024-0106.
• Pablo Pincheira Brown & Nicolás Hardy, 2024, "The mean squared prediction error paradox," Journal of Forecasting, John Wiley & Sons, Ltd., volume 43, issue 6, pages 2298-2321, September, DOI: 10.1002/for.3129.
• Jin Seo Cho & Peter C.B. Phillips, 2024, "GMM Estimation with Brownian Kernels Applied to Income Inequality Measurement," Working papers, Yonsei University, Yonsei Economics Research Institute, number 2024rwp-232, Oct.
• Ha Trong Nguyen & Le, Huong Thu & Blyth, Christopher & Connelly, Luke & Mitrou, Francis, 2024, "Identifying the effects of health insurance coverage on health care use when coverage is misreported and endogenous," GLO Discussion Paper Series, Global Labor Organization (GLO), number 1432.
• Fitzgerald, Jack, 2024, "Manipulation Tests in Regression Discontinuity Design: The Need for Equivalence Testing," I4R Discussion Paper Series, The Institute for Replication (I4R), number 136.
• Ankel-Peters, Jörg & Brodeur, Abel & Dreber, Anna & Johannesson, Magnus & Neubauer, Florian & Rose, Julian, 2024, "A Protocol for Structured Robustness Reproductions and Replicability Assessments," I4R Discussion Paper Series, The Institute for Replication (I4R), number 143.
• Auer, Tobias & Ulasik, Maria & Holzmeister, Felix, 2024, "A Comment on "Motivated Errors" by Exley and Kessler (2024)," I4R Discussion Paper Series, The Institute for Replication (I4R), number 161.
• Garg, Prashant & Fetzer, Thiemo, 2024, "Causal Claims in Economics," I4R Discussion Paper Series, The Institute for Replication (I4R), number 183.
• Masselus, Lise & Petrik, Christina & Ankel-Peters, Jörg, 2024, "Lost in the Design Space? Construct Validity in the Microfinance Literature," I4R Discussion Paper Series, The Institute for Replication (I4R), number 184.
• Rosati, Nicoletta & Bomprezzi, Pietro & Martinez Cillero, Maria, 2024, "Critical dimensions in the empirical measurement of common shareholding," Open Access Publications from Kiel Institute for the World Economy, Kiel Institute for the World Economy (IfW Kiel), number 306566, DOI: 10.1016/j.ribaf.2024.102315.
• Masselus, Lise & Petrik, Christina & Ankel-Peters, Jörg, 2024, "Lost in the design space? Construct validity in the microfinance literature," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 1097, DOI: 10.4419/96973274.
• Ankel-Peters, Jörg & Brodeur, Abel & Dreber, Anna & Johannesson, Magnus & Neubauer, Florian & Rose, Julian, 2024, "A protocol for structured robustness reproductions and replicability assessments," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 1106, DOI: 10.4419/96973284.

2023

• Mark Stater & Christopher Hoag, 2023, "Including the Instruments in the Regression is the Hausman Test," Annals of Economics and Statistics, GENES, issue 152, pages 43-64, DOI: 10.2307/48754784.
• P. J. Glandon & Ken Kuttner & Sandeep Mazumder & Caleb Stroup, 2023, "Macroeconomic Research, Present and Past," Journal of Economic Literature, American Economic Association, volume 61, issue 3, pages 1088-1126, September, DOI: 10.1257/jel.20211609.
• De Mier Manuel & Delbianco Fernando & Tohmé Fernando & Patrizio Luisina & Rodriguez Facundo & Stéfani Mauro, 2023, "Causality by Vote: Aggregating Evidence on Causal Relations in Economic Growth Processes," Asociación Argentina de Economía Política: Working Papers, Asociación Argentina de Economía Política, number 4641, Nov.
• Mathias Silva, 2023, "Parametric estimation of income distributions using grouped data: an Approximate Bayesian Computation approach," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2310, Apr.
• Mathias Silva, 2023, "Parametric models of income distributions integrating misreporting and non-response mechanisms," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2311, May.
• Lambert, Philippe, 2023, "Nonparametric density estimation and risk quantification from tabulated sample moments," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2023001, Jan, DOI: https://doi.org/10.1016/j.insmathec.
• Menkveld, Albert J. & Dreber, Anna & Holzmeister, Felix & Huber, Juergen & Johannesson, Magnus & Hasse, Jean-Baptiste & e.a.,, 2023, "Non-Standard Errors," LIDAM Reprints LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2023002, Jan.
• Elliott Ash & Stephen Hansen, 2023, "Text Algorithms in Economics," Annual Review of Economics, Annual Reviews, volume 15, issue 1, pages 659-688, September, DOI: 10.1146/annurev-economics-082222-07.
• Rodrigo García Arancibia & Ignacio Girela, 2023, "Graphical Representation of Multidimensional Poverty: Insights for Index Construction and Policy Making," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 233, Apr.
• Manuel de Mier & Fernando Delbianco & Fernando Tohmé & Luisina Patrizio & Facundo Rodriguez & Mauro Romero Stéfani, 2023, "Causality by Vote: Aggregating Evidence on Causal Relations in Economic Growth Processes," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 260, Jul.
• Daniel Ackerberg & Garth Frazer & Kyoo il Kim & Yao Luo & Yingjun Su, 2023, "Under-Identification of Structural Models Based on Timing and Information Set Assumptions," Papers, arXiv.org, number 2303.15170, Mar.
• Timothy B. Armstrong & Patrick Kline & Liyang Sun, 2023, "Adapting to Misspecification," Papers, arXiv.org, number 2305.14265, May, revised Sep 2025.
• David T. Frazier & Ryan Covey & Gael M. Martin & Donald Poskitt, 2023, "Solving the Forecast Combination Puzzle," Papers, arXiv.org, number 2308.05263, Aug.
• Victor Olkhov, 2023, "Economic Complexity Limits Accuracy of Price Probability Predictions by Gaussian Distributions," Papers, arXiv.org, number 2309.02447, Aug, revised Apr 2024.
• Áureo de Paula & Imran Rasul & Pedro CL Souza, 2023, "Identifying network ties from panel data: theory and an application to tax competition," CeMMAP working papers, Institute for Fiscal Studies, number 02/23, Jan, DOI: 10.47004/wp.cem.2023.0223.
• Áureo de Paula & Imran Rasul & Pedro CL Souza, 2023, "Identifying network ties from panel data: Theory and an application to tax competition," CeMMAP working papers, Institute for Fiscal Studies, number 21/23, Oct, DOI: 10.47004/wp.cem.2023.2123.
• Antonio Colangelo & Asier Cornejo Pérez & Danilo Liberati & Giorgio Nuzzo & Antonio Rodríguez Caloca, 2023, "Reporting and derivation of data on financial transactions related to banks' securities holdings," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 812, Oct.
• Vittoria La Serra & Emiliano Svezia, 2023, "A robust record linkage approach for anomaly detection in granular insurance asset reporting," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 821, Dec.
• Raffaele De Marchi & Alessandro Moro, 2023, "Forecasting fiscal crises in emerging markets and low-income countries with machine learning models," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1405, Mar.
• Guillem Pros & Michael T. Hannan & Gaël Le Mens, 2023, "Uncovering the Semantics of Concepts Using GPT-4 and Other Recent Large Language Models," Working Papers, Barcelona School of Economics, number 1394, Jun.
• Paolo Cimbali & Marco De Leonardis & Alessio Fiume & Barbara La Ganga & Luciana Meoli & Marco Orlandi, 2023, "A decision-making rule to detect insufficient data quality - an application of statistical learning techniques to the non-performing loans banking data," IFC Bulletins chapters, Bank for International Settlements, in: Bank for International Settlements, "Post-pandemic landscape for central bank statistics".
• Vittoria La Serra & Emiliano Svezia, 2023, "Statistical matching for anomaly detection in insurance assets granular reporting," IFC Bulletins chapters, Bank for International Settlements, in: Bank for International Settlements, "Post-pandemic landscape for central bank statistics".
• Davide Nicola Continanza & Andrea del Monaco & Marco di Lucido & Daniele Figoli & Pasquale Maddaloni & Filippo Quarta & Giuseppe Turturiello, 2023, "Stacking machine learning models for anomaly detection: comparing AnaCredit to other banking data sets," IFC Bulletins chapters, Bank for International Settlements, in: Bank for International Settlements, "Data science in central banking: applications and tools".
• João Nicolau & Pedro Raposo & Paulo M. M. Rodrigues, 2023, "Measuring wage inequality under right censoring," Economic Inquiry, Western Economic Association International, volume 61, issue 2, pages 377-401, April, DOI: 10.1111/ecin.13119.
• Alexander Chudik & M. Hashem Pesaran & Ron P. Smith, 2023, "Revisiting the Great Ratios Hypothesis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 85, issue 5, pages 1023-1047, October, DOI: 10.1111/obes.12571.
• Tian Jiarui (Alex), 2023, "A Replication of “The Effect of the Conservation Reserve Program on Rural Economies: Deriving a Statistical Verdict from a Null Finding” (American Journal of Agricultural Economics, 2019)," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, volume 17, issue 1, pages 1-7, January, DOI: 10.1515/econ-2022-0036.
• Huntington-Klein Nick, 2023, "Linear Rescaling to Accurately Interpret Logarithms," Journal of Econometric Methods, De Gruyter, volume 12, issue 1, pages 139-147, January, DOI: 10.1515/jem-2021-0029.
• Sylvain Sorin, 2023, "Aumann and Game Theory," Revue économique, Presses de Sciences-Po, volume 74, issue 4, pages 511-528.
• Tom Coupé & W. Robert Reed, 2023, "Do Replications Make a Difference?," Working Papers in Economics, University of Canterbury, Department of Economics and Finance, number 23/10, Aug.
• Hale, Galina & Krainer, John & McCarthy, Erin, 2023, "Aggregation level in stress testing models," Santa Cruz Department of Economics, Working Paper Series, Department of Economics, UC Santa Cruz, number qt863813n4, Oct.
• Imran Rasul & Pedro Souza & Aureo de Paula, 2023, "Identifying Network Ties from Panel Data: Theory and an application to tax competition," POID Working Papers, Centre for Economic Performance, LSE, number 081, Oct.
• Kajal Lahiri & Cheng Yang, 2023, "ROC and PRC Approaches to Evaluate Recession Forecasts," CESifo Working Paper Series, CESifo, number 10449.
• Evelina Gavrilova & Audun Langørgen & Floris T. Zoutman & Floris Zoutman, 2023, "Difference-in-Difference Causal Forests, with an Application to Payroll Tax Incidence in Norway," CESifo Working Paper Series, CESifo, number 10532.
• Santiago Torres, 2023, "Addressing Bias in Politician Characteristic Regression Discontinuity Designs," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 20304, Aug.
• Lily Davies & Mark Kattenberg & Benedikt Vogt, 2023, "Predicting Firm Exits with Machine Learning: Implications for Selection into COVID-19 Support and Productivity Growth," CPB Discussion Paper, CPB Netherlands Bureau for Economic Policy Analysis, number 444, Mar, DOI: 10.34932/krkb-2p27.
• Mark Kattenberg & Bas Scheer & Jurre Thiel, 2023, "Causal forests with fixed effects for treatment effect heterogeneity in difference-in-differences," CPB Discussion Paper, CPB Netherlands Bureau for Economic Policy Analysis, number 452, Nov, DOI: 10.34932/216c-yz58.
• Ash, Elliott & Hansen, Stephen, 2023, "Text Algorithms in Economics," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18125, Apr.
• Altieri, Michela & Nicodano, Giovanna, 2023, "Survival and Value: the Conglomerate Case," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18198, Jun.
• Balestra, Simone & Eugster, Beatrix & Puljic, Fanny, 2023, "Misclassification in Linear-in-Means Models: Theory and Application to Peer Effects Estimation," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18342, Aug.
• Guinnane, Timothy W., 2023, "We Do Not Know the Population of Every Country in the World for the Past Two Thousand Years," The Journal of Economic History, Cambridge University Press, volume 83, issue 3, pages 912-938, September.
• Barberà, Salvador & Bossert, Walter & Moreno-Ternero, Juan D., 2023, "Wine rankings and the Borda method," Journal of Wine Economics, Cambridge University Press, volume 18, issue 2, pages 122-138, May.
• Hai Hong Trinh & Thanh Ngo & Tu Le, 2023, "Understanding the Methodological Approaches of Endogeneity Issues in Recent Studies on Energy Consumption and Its Determinants," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, volume 69, issue 1, pages 25-47, DOI: 10.3790/aeq.69.1.25.
• Colangelo, Antonio & Pérez, Asier Cornejo & Liberati, Danilo & Nuzzo, Giorgio & Caloca, Antonio Rodríguez, 2023, "Reporting and derivation of data on financial transactions related to banks’ securities holdings," Statistics Paper Series, European Central Bank, number 44, Jun.
• Herwartz, Helmut & Wang, Shu, 2023, "Point estimation in sign-restricted SVARs based on independence criteria with an application to rational bubbles," Journal of Economic Dynamics and Control, Elsevier, volume 151, issue C, DOI: 10.1016/j.jedc.2023.104630.
• Fan, Yanqin & Henry, Marc, 2023, "Vector copulas," Journal of Econometrics, Elsevier, volume 234, issue 1, pages 128-150, DOI: 10.1016/j.jeconom.2021.11.012.
• Kock, Anders Bredahl & Preinerstorfer, David & Veliyev, Bezirgen, 2023, "Treatment recommendation with distributional targets," Journal of Econometrics, Elsevier, volume 234, issue 2, pages 624-646, DOI: 10.1016/j.jeconom.2022.08.003.
• 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.