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
/ / / C14: Semiparametric and Nonparametric Methods: General

2022

• Mehmet Pinar & Thanasis Stengos & Nikolas Topaloglou, 2022, "Stochastic dominance spanning and augmenting the human development index with institutional quality," Annals of Operations Research, Springer, volume 315, issue 1, pages 341-369, August, DOI: 10.1007/s10479-022-04656-w.
• Piotr Tadeusz Wójcik, 2022, "The parallel convergence of income and educational achievements: joint distribution dynamics," The Annals of Regional Science, Springer;Western Regional Science Association, volume 68, issue 3, pages 527-548, June, DOI: 10.1007/s00168-021-01086-7.
• Giacomo Toscano & Maria Cristina Recchioni, 2022, "Bias-optimal vol-of-vol estimation: the role of window overlapping," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 45, issue 1, pages 137-185, June, DOI: 10.1007/s10203-021-00349-4.
• Christian M. Hafner & Sabrine Majeri, 2022, "Analysis of cryptocurrency connectedness based on network to transaction volume ratios," Digital Finance, Springer, volume 4, issue 2, pages 187-216, September, DOI: 10.1007/s42521-022-00054-w.
• Hideyuki Mizobuchi, 2022, "Measuring the shift in the short-run production frontier," Evolutionary and Institutional Economics Review, Springer, volume 19, issue 1, pages 271-300, April, DOI: 10.1007/s40844-021-00212-6.
• Dieter Saelens, 2022, "Unitary or collective households? A nonparametric rationality and separability test using detailed data on consumption expenditures and time use," Empirical Economics, Springer, volume 62, issue 2, pages 637-677, February, DOI: 10.1007/s00181-021-02033-3.
• Hiroyuki Kawakatsu, 2022, "Local projection variance impulse response," Empirical Economics, Springer, volume 62, issue 3, pages 1219-1244, March, DOI: 10.1007/s00181-021-02063-x.
• Yusuke Adachi & Hikaru Ogawa & Masafumi Tsubuku, 2022, "Measuring productivity dynamics in Japan: a quantile approach," Empirical Economics, Springer, volume 63, issue 1, pages 201-242, July, DOI: 10.1007/s00181-021-02136-x.
• Juergen Jung, 2022, "Estimating transition probabilities between health states using US longitudinal survey data," Empirical Economics, Springer, volume 63, issue 2, pages 901-943, August, DOI: 10.1007/s00181-021-02157-6.
• Aktham Maghyereh & Hussein Abdoh, 2022, "COVID-19 and the volatility interlinkage between bitcoin and financial assets," Empirical Economics, Springer, volume 63, issue 6, pages 2875-2901, December, DOI: 10.1007/s00181-022-02223-7.
• Richard Gearhart & Lyudmyla Sonchak-Ardan & Nyakundi Michieka, 2022, "The efficiency of COVID cases to COVID policies: a robust conditional approach," Empirical Economics, Springer, volume 63, issue 6, pages 2903-2948, December, DOI: 10.1007/s00181-022-02234-4.
• Marisa Reis Azevedo Botelho & Graciele Fátima Sousa & Michelle Castro Carrijo & Juliene Barbosa Ferreira & Ariana Cericatto Silva, 2022, "Survival determinants for Brazilian companies, 1996 to 2016," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, volume 49, issue 2, pages 233-266, June, DOI: 10.1007/s40812-022-00217-1.
• Anna D’Ambrosio & Roberto Leombruni & Tiziano Razzolini, 2022, "Trading off wage for workplace safety? Gaps between immigrants and natives in Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, volume 39, issue 3, pages 903-960, October, DOI: 10.1007/s40888-020-00209-1.
• Marc Beltempo & Georges Bresson & Jean-Michel Étienne & Guy Lacroix, 2022, "Infections, accidents and nursing overtime in a neonatal intensive care unit," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), volume 23, issue 4, pages 627-643, June, DOI: 10.1007/s10198-021-01386-x.
• Silvia Vannutelli & Sergio Scicchitano & Marco Biagetti, 2022, "Routine-biased technological change and wage inequality: do workers’ perceptions matter?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, volume 12, issue 3, pages 409-450, September, DOI: 10.1007/s40821-022-00222-3.
• Dan Lupu & Ramona Tiganasu, 2022, "COVID-19 and the efficiency of health systems in Europe," Health Economics Review, Springer, volume 12, issue 1, pages 1-15, December, DOI: 10.1186/s13561-022-00358-y.
• Avishek Bhandari & Ata Assaf & Rajendra N. Paramanik, 2022, "Long Memory and Correlation Structures of Select Stock Returns Using Novel Wavelet and Fractal Connectivity Networks," India Studies in Business and Economics, Springer, in: Naoyuki Yoshino & Rajendra N. Paramanik & Anoop S. Kumar, "Studies in International Economics and Finance", DOI: 10.1007/978-981-16-7062-6_30.
• C. Colther & J. L. Rojo & R. Hornero, 2022, "A Wavelet Method for Detecting Turning Points in the Business Cycle," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 18, issue 2, pages 171-187, July, DOI: 10.1007/s41549-022-00072-y.
• Oleg Sidorkin & Martin Srholec, 2022, "Do Direct Subsidies Stimulate New R&D Outputs in Firms? Evidence from the Czech Republic," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), volume 13, issue 3, pages 2203-2229, September, DOI: 10.1007/s13132-021-00812-y.
• Cristian Barra & Nazzareno Ruggiero, 2022, "How do dimensions of institutional quality improve Italian regional innovation system efficiency? The Knowledge production function using SFA," Journal of Evolutionary Economics, Springer, volume 32, issue 2, pages 591-642, April, DOI: 10.1007/s00191-022-00765-8.
• Yulia Kotlyarova & Marcia M. A. Schafgans & Victoria Zinde-Walsh, 2022, "Correction to: Rates of Expansions for Functional Estimators," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), volume 20, issue 2, pages 487-487, June, DOI: 10.1007/s40953-021-00280-w.
• Yinfen Tang & Tao Su & Zhiyuan Zhang, 2022, "Distribution-free specification test for volatility function based on high-frequency data with microstructure noise," Metrika: International Journal for Theoretical and Applied Statistics, Springer, volume 85, issue 8, pages 977-1022, November, DOI: 10.1007/s00184-021-00857-8.
• Jiří Witzany & Anastasiia Kozina, 2022, "Recovery process optimization using survival regression," Operational Research, Springer, volume 22, issue 5, pages 5269-5296, November, DOI: 10.1007/s12351-022-00703-3.
• Pejman Peykani & Jafar Gheidar-Kheljani & Reza Farzipoor Saen & Emran Mohammadi, 2022, "Generalized robust window data envelopment analysis approach for dynamic performance measurement under uncertain panel data," Operational Research, Springer, volume 22, issue 5, pages 5529-5567, November, DOI: 10.1007/s12351-022-00729-7.
• Flaviana Palmisano & Federico Biagi & Vito Peragine, 2022, "Inequality of Opportunity in Tertiary Education: Evidence from Europe," Research in Higher Education, Springer;Association for Institutional Research, volume 63, issue 3, pages 514-565, May, DOI: 10.1007/s11162-021-09658-4.
• Jéfferson Colombo & Peter Wanke & Jorge Antunes & Abul Kalam Azad, 2022, "Unveiling endogeneity between competition and efficiency in European banks: a robust econometric-neural network approach," SN Business & Economics, Springer, volume 2, issue 3, pages 1-46, March, DOI: 10.1007/s43546-021-00200-3.
• Francisco Gildemir Ferreira Silva, 2022, "Brazilian railways separability infrastructure/operations: investigation by production indicators," SN Business & Economics, Springer, volume 2, issue 7, pages 1-25, July, DOI: 10.1007/s43546-022-00245-y.
• Wooi Chen Khoo & Kim Leng Yeah & Shun Yi Hong, 2022, "Modeling unemployment duration, determinants and insurance premium pricing of Malaysia: insights from an upper middle-income developing country," SN Business & Economics, Springer, volume 2, issue 8, pages 1-25, August, DOI: 10.1007/s43546-022-00287-2.
• Rabeh Khalfaoui & Aviral Kumar Tiwari & Xuan Vinh VO, 2022, "Evaluating Portfolio Risk Management: A New Evidence from DCC Models and Wavelet Approach," Springer Books, Springer, chapter 105, in: Cheng-Few Lee & Alice C. Lee, "Encyclopedia of Finance", DOI: 10.1007/978-3-030-91231-4_108.
• Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022, "Stochastic Frontier Analysis: Foundations and Advances II," Springer Books, Springer, chapter 9, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar, "Handbook of Production Economics", DOI: 10.1007/978-981-10-3455-8_11.
• Christopher F. Parmeter & Valentina Hartarska, 2022, "Performance of Microfinance Institutions: A Review," Springer Books, Springer, chapter 33, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar, "Handbook of Production Economics", DOI: 10.1007/978-981-10-3455-8_33.
• Subal C. Kumbhakar & Christopher F. Parmeter & Valentin Zelenyuk, 2022, "Stochastic Frontier Analysis: Foundations and Advances I," Springer Books, Springer, chapter 8, in: Subhash C. Ray & Robert G. Chambers & Subal C. Kumbhakar, "Handbook of Production Economics", DOI: 10.1007/978-981-10-3455-8_9.
• Nadine McCloud & Michael S. Delgado, 2022, "Domestic interest rate, foreign direct investment, and corruption," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), volume 158, issue 2, pages 467-491, May, DOI: 10.1007/s10290-021-00435-0.
• Haidar Haidar, 2022, "Efficiency of Syrian Banks: A Nonparametric Frontier Approach," Journal of Applied Finance & Banking, SCIENPRESS Ltd, volume 12, issue 6, pages 1-2.
• Antoine Djogbenou & Christian Gouriéroux & Joann Jasiak & Paul Rilstone, 2022, "An Econometric Panel Data Model of the COVID-19 Pandemic," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, volume 11, issue 1, pages 1-3.
• Jiexiang Li, 2022, "Comparing Different Permutation Tests with Dickey-Fuller Tests for Unit Root in the Autoregressive Time Series," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, volume 11, issue 2, pages 1-1.
• Cinzia Daraio & Leopold Simar, 2022, "Approximations and Inference for Nonparametric Production Frontiers," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2022/14, May.
• Giulio Bottazzi & Taewon Kang & Federico Tamagni, 2022, "Persistence in firm growth: inference from conditional quantile transition matrice," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2022/27, Sep.
• Iwona Dorota Czechowska & Tomasz Florczak, 2022, "Efficiency of banking sectors of the European Union. A comparative benchmarking analysis before and during the COVID-19 pand," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, volume 10, issue 2, pages 319-332, December, DOI: 10.9770/jesi.2022.10.2(19).
• Richard S.J. Tol, 2022, "Confidence intervals of ranks," Economics Software Archive, Department of Economics, University of Sussex Business School, number 0122, revised .
• Hao Dong & Taisuke Otsu & Luke Taylor, 2022, "Nonparametric estimation of additive models with errors-in-variables," Econometric Reviews, Taylor & Francis Journals, volume 41, issue 10, pages 1164-1204, November, DOI: 10.1080/07474938.2022.2127076.
• Calogero Guccio & Marco Ferdinando Martorana & Isidoro Mazza & Giacomo Pignataro & Ilde Rizzo, 2022, "Is innovation in ICT valuable for the efficiency of Italian museums?," European Planning Studies, Taylor & Francis Journals, volume 30, issue 9, pages 1695-1716, September, DOI: 10.1080/09654313.2020.1865277.
• Ekaterina Oparina & Sorawoot Srisuma, 2022, "Analyzing Subjective Well-Being Data with Misclassification," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 40, issue 2, pages 730-743, April, DOI: 10.1080/07350015.2020.1865169.
• JoonHwan Cho & Yao Luo & Ruli Xiao, 2022, "Deconvolution from Two Order Statistics," Working Papers, University of Toronto, Department of Economics, number tecipa-739, Oct.
• Abou Moussa DIENG & Amadé NACANABO, 2022, "Perception des agriculteurs sur les chocs climatiques et efficience de la production agricole au Burkina Faso," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, volume 55, pages 55-73.
• Utteeyo Dasgupta & Subha Mani & Smriti Sharma & Saurabh Singhal, 2022, "Effects of Peers and Rank on Cognition, Preferences, and Personality," The Review of Economics and Statistics, MIT Press, volume 104, issue 3, pages 587-601, May, DOI: 10.1162/rest_a_00966.
• Lapenta, Elia & Lavergne, Pascal, 2022, "Encompassing Tests for Nonparametric Regressions," TSE Working Papers, Toulouse School of Economics (TSE), number 22-1332, May.
• Jochmans, Koen & Higgins, Ayden, 2022, "Learning Markov Processes with Latent Variables," TSE Working Papers, Toulouse School of Economics (TSE), number 22-1366, Oct.
• David Benson & Matthew A. Masten & Alexander Torgovitsky, 2022, "ivcrc: An instrumental-variables estimator for the correlated random-coefficients model," Stata Journal, StataCorp LLC, volume 22, issue 3, pages 469-495, September, DOI: 10.1177/1536867X221124449.
• Marinho Bertanha & Andrew H. McCallum & Alexis Payne & Nathan Seegert, 2022, "Bunching estimation of elasticities using Stata," Stata Journal, StataCorp LLC, volume 22, issue 3, pages 597-624, September, DOI: 10.1177/1536867X221124534.
• Costanza Naguib, 2022, "Financial Turmoil and Earnings Mobility," Diskussionsschriften, Universitaet Bern, Departement Volkswirtschaft, number dp2208, Jan.
• Ruoyao Shi, 2022, "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers, University of California at Riverside, Department of Economics, number 202201, Jan.
• Aman Ullah & Tao Wang & Weixin Yao, 2022, "Nonlinear Modal Regression for Dependent Data with Application for Predicting COVID-19," Working Papers, University of California at Riverside, Department of Economics, number 202207, Feb.
• Tae-Hwy Lee & Shahnaz Parsaeian & Aman Ullah, 2022, "Forecasting under Structural Breaks Using Improved Weighted Estimation," Working Papers, University of California at Riverside, Department of Economics, number 202210, May.
• Ruoyao Shi, 2022, "An Averaging Estimator for Two Step M Estimation in Semiparametric Models," Working Papers, University of California at Riverside, Department of Economics, number 202211, Jun.
• Aman Ullah & Tao Wang & Weixin Yao, 2022, "Semiparametric Partially Linear Varying Coefficient Modal Regression," Working Papers, University of California at Riverside, Department of Economics, number 202215, Jun, revised Jun 2022.
• Justin Dang & Aman Ullah, 2022, "Generalized Kernel Regularized Least Squares Estimator with Parametric Error Covariance," Working Papers, University of California at Riverside, Department of Economics, number 202303, Jun, revised Mar 2023.
• Sylvain Barde, 2022, "Bayesian Estimation of Large-Scale Simulation Models with Gaussian Process Regression Surrogates," Studies in Economics, School of Economics, University of Kent, number 2203, Aug.
• Palacios Mora, Juan Carlos & de Crombrugghe, Denis & Gassmann, Franziska, 2022, "Money is not enough," MERIT Working Papers, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT), number 2022-038, Nov.
• Jan Weber, Jan Schulz, 2022, "Growing Differently: A Structural Classification for European NUTS-3 Regions," Working Paper Series, Department of Economics, University of Utah, University of Utah, Department of Economics, number 2022_01.
• LEONIDA, Ionel, 2022, "Investigating The Dividend Policy Determinants Using A Poisson Regression," Journal of Financial and Monetary Economics, Centre of Financial and Monetary Research "Victor Slavescu", volume 10, issue 1, pages 108-113, October.
• Hamri Mohamed Mehdi & Mekki Sanaà Dounya & Rabhi Abbes & Kadiri Nadia, 2022, "Single Functional Index Quantile Regression for Independent Functional Data Under Right-Censoring," Econometrics. Advances in Applied Data Analysis, Sciendo, volume 26, issue 1, pages 31-62, March, DOI: 10.15611/eada.2022.1.03.
• Bouabsa Wahiba, 2022, "Unform in Bandwith of the Conditional Distribution Function with Functional Explanatory Variable: The Case of Spatial Data with the K Nearest Neighbour Method," Econometrics. Advances in Applied Data Analysis, Sciendo, volume 26, issue 2, pages 30-46, June, DOI: 10.15611/eada.2022.2.03.
• Hamri Mohamed Mehdi & Dib Abdassamad & Rabhi Abbes, 2022, "Asymptotic Properties of the Estimator of the Conditional Distribution for Associated Functional Data," Econometrics. Advances in Applied Data Analysis, Sciendo, volume 26, issue 3, pages 21-34, September, DOI: 10.15611/eada.2022.3.02.
• Baiquan Ma & Robert Ślepaczuk, 2022, "The profitability of pairs trading strategies on Hong-Kong stock market: distance, cointegration, and correlation methods," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2022-02.
• Maciej Wysocki & Paweł Sakowski, 2022, "Investment Portfolio Optimization Based on Modern Portfolio Theory and Deep Learning Models," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2022-12.
• Illia Baranochnikov & Robert Ślepaczuk, 2022, "A comparison of LSTM and GRU architectures with novel walk-forward approach to algorithmic investment strategy," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2022-21.
• Katarzyna Kryńska & Robert Ślepaczuk, 2022, "Daily and intraday application of various architectures of the LSTM model in algorithmic investment strategies on Bitcoin and the S&P 500 Index," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2022-25.
• Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2022, "Locally Robust Semiparametric Estimation," Econometrica, Econometric Society, volume 90, issue 4, pages 1501-1535, July, DOI: 10.3982/ECTA16294.
• Timothy B. Armstrong & Michal Kolesár & Mikkel Plagborg‐Møller, 2022, "Robust Empirical Bayes Confidence Intervals," Econometrica, Econometric Society, volume 90, issue 6, pages 2567-2602, November, DOI: 10.3982/ECTA18597.
• Martin Biewen & Miriam Sturm, 2022, "Why a labour market boom does not necessarily bring down inequality: putting together Germany's inequality puzzle," Fiscal Studies, John Wiley & Sons, volume 43, issue 2, pages 121-149, June, DOI: 10.1111/1475-5890.12294.
• Guglielmo Maria Caporale & Luis Alberiko Gil‐Alana & Tommaso Trani, 2022, "On the persistence of UK inflation: A long‐range dependence approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 27, issue 1, pages 439-454, January, DOI: 10.1002/ijfe.2161.
• Charalampos Agiropoulos & Michael L. Polemis & Michael Siopsis & Sotiris Karkalakos, 2022, "Revisiting the finance‐growth nexus: A socioeconomic approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., volume 27, issue 3, pages 2762-2783, July, DOI: 10.1002/ijfe.2297.
• Jo Reynaerts & Jakob Vanschoonbeek, 2022, "The economics of state fragmentation: Assessing the economic impact of secession," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 37, issue 1, pages 82-115, January, DOI: 10.1002/jae.2857.
• Yohei Yamamoto & Naoko Hara, 2022, "Identifying factor‐augmented vector autoregression models via changes in shock variances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 37, issue 4, pages 722-745, June, DOI: 10.1002/jae.2894.
• Oguzhan Cepni & Riza Demirer & Rangan Gupta & Ahmet Sensoy, 2022, "Interest rate uncertainty and the predictability of bank revenues," Journal of Forecasting, John Wiley & Sons, Ltd., volume 41, issue 8, pages 1559-1569, December, DOI: 10.1002/for.2884.
• Hidehiko Ichimura & Whitney K. Newey, 2022, "The influence function of semiparametric estimators," Quantitative Economics, Econometric Society, volume 13, issue 1, pages 29-61, January, DOI: 10.3982/QE826.
• Tayyab Raza Fraz & Samreen Fatima, 2022, "Modeling And Forecasting Volatility Of Stock Market Using Family Of Garch Models: Evidence From Cpec Linked Countries," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., volume 22, issue 01, pages 1-15, March, DOI: 10.1142/S219456592250004X.
• Khushboo Surana, 2022, "How different are we? Identifying the degree of revealed preference heterogeneity," Discussion Papers, Department of Economics, University of York, number 22/09, Nov.
• Gärtner, Leo & Marek, Philipp, 2022, "The impact of German public support transfers on firm finance: Evidence from the Covid-19 crisis," Discussion Papers, Deutsche Bundesbank, number 19/2022.
• Webel, Karsten, 2022, "A review of some recent developments in the modelling and seasonal adjustment of infra-monthly time series," Discussion Papers, Deutsche Bundesbank, number 31/2022.
• Neuhierl, Andreas & Tang, Xiaoxiao & Varneskov, Rasmus Tangsgaard & Zhou, Guofu, 2022, "Option characteristics as cross-sectional predictors," LawFin Working Paper Series, Goethe University, Center for Advanced Studies on the Foundations of Law and Finance (LawFin), number 37.
• du Plessis, Emile & Fritsche, Ulrich, 2022, "New forecasting methods for an old problem: Predicting 147 years of systemic financial crises," WiSo-HH Working Paper Series, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory, number 67.
• Mammen, Enno & Wilke, Ralf A. & Zapp, Kristina Maria, 2022, "Estimation of group structures in panel models with individual fixed effects," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 22-023.
• Bertschek, Irene & Block, Jörn & Kritikos, Alexander & Stiel, Caroline, 2022, "German financial state aid during COVID-19 pandemic: Higher impact among digitalized self-employed," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 22-045.
• Axenbeck, Janna & Berner, Anne & Kneib, Thomas, 2022, "What drives the relationship between digitalization and industrial energy demand? Exploring firm-level heterogeneity," ZEW Discussion Papers, ZEW - Leibniz Centre for European Economic Research, number 22-059.
• Iqbal Jebril & P. Dhanaraj & Ghaida Muttashar Abdulsahib & SatheeshKumar Palanisamy & T.Prabhu & Osamah Ibrahim Khalaf, 2022, "Analysis of Electrically Couple SRR EBG Structure for Sub 6 GHz Wireless Applications," Advances in Decision Sciences, Asia University, Taiwan, volume 26, issue Special, pages 102-123, December.
• Mikkel Bennedsen & Eric Hillebrand & Sebastian Jensen, 2022, "A Neural Network Approach to the Environmental Kuznets Curve," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2022-09, May.
• Dwi Sulistiani & Bambang Tjahjadi, 2022, "Does Financial Performance Mediate the Effect of Good Corporate Governance on Indonesian Ṣukūk Rating? هل يُعد الأداء المالي للشركات وسيطًا مؤثرًا في الحوكمة الجيدة لتصنيف الصكوك الإندونيسية؟," Journal of King Abdulaziz University: Islamic Economics, King Abdulaziz University, Islamic Economics Institute., volume 35, issue 2, pages 96-113, July, DOI: 10.4197/Islec.35-2.6.
• Silvia London & Gastón Cayssials & Fernando Antonio Ignacio González, 2022, "Population growth and economic growth: a panel causality analysis," Asociación Argentina de Economía Política: Working Papers, Asociación Argentina de Economía Política, number 4574, Nov.
• Hermann Ndoya & Simplice A. Asongu, 2022, "Digital Divide, Globalization and Income Inequality in sub-Saharan African countries: Analysing cross-country heterogeneity," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 22/064, Jan.
• Münevvere Yıldız & N. Serap Vurur, 2022, "Türkiye’de KOBİ Endeksi Üzerinde Etkili Faktörlerin MARS Yöntemi İle Belirlenmesi," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, volume 7, issue 1, pages 93-111, DOI: 10.30784/epfad.1054020.
• Pham, Manh D. & Simar, Léopold & Zelenyuk, Valentin, 2022, "Statistical Inference for Aggregation of Malmquist Productivity Indices," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022005, Jan.
• Hafner, Christian & Linton, Oliver & Wang, Linqi, 2022, "Dynamic Autoregressive Liquidity (DArLiQ)," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022009, Feb.
• Fève, Frédérique & Florens, Jean-Pierre & Simar, Léopold, 2022, "Proportional Incremental Cost Probability Functions and their Frontiers," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022016, May.
• Daraio, Cinzia & Simar, Léopold, 2022, "Approximations and Inference for Nonparametric Production Frontiers," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022017, May.
• 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.
• Mastromarco, Camilla & Simar, Léopold & Van Keilegom, Ingrid, 2022, "Estimating Nonparametric Conditional Frontiers and Efficiencies: A New Approach," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022035, Nov.
• Lin, Min-Bin & Wang, Bingling & Bocart, Fabian Y.R.P. & Hafner, Christian M. & Härdle, Wolfgang K., 2022, "DAI Digital Art Index : a robust price index for heterogeneous digital assets," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022036, Nov.
• Yang, Bingduo & Cai, Zongwu & Hafner, Christian M. & Liu, Guannan, 2022, "Time-Varying Mixture Copula Models with Copula Selection," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022008, Feb.
• Yang, Bingduo & Hafner, Christian M. & Liu, Guannan & Long, Wei, 2022, "Semiparametric estimation and variable selection for single-index copula models," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022011, Feb, DOI: https://doi.org/10.1002/jae.2812.
• Hafner, Christian M. & Wang, Linqi, 2022, "A dynamic conditional score model for the log correlation matrix," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022012, Feb, DOI: https://doi.org/10.1016/j.jeconom.2.
• Hafner, Christian M. & Wang, Linqi, 2022, "Dynamic portfolio selection with sector-specific regularization," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022013, Feb, DOI: https://doi.org/10.1016/j.ecosta.20.
• Hafner, Christian M. & Majeri , Sabrine, 2022, "Analysis of cryptocurrency connectedness based on network to transaction volume ratios," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2022033, Oct, DOI: https://doi.org/10.1007/s42521-022-.
• Hafner, Christian & Linton, Oliver & Wang, Linqi, 2022, "Dynamic Autoregressive Liquidity (DArLiQ)," LIDAM Discussion Papers LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2022002, Feb.
• Hafner, Christian M. & Wang, Linqi, 2022, "A dynamic conditional score model for the log correlation matrix," LIDAM Reprints LFIN, Université catholique de Louvain, Louvain Finance (LFIN), number 2022006, Feb, DOI: https://doi.org/10.1016/j.jeconom.2.
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• Montes-Rojas Gabriel, 2022, "Estimating Impulse-Response Functions for Macroeconomic Models using Directional Quantiles," Journal of Time Series Econometrics, De Gruyter, volume 14, issue 2, pages 199-225, July, DOI: 10.1515/jtse-2021-0002.
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