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
/ / / C15: Statistical Simulation Methods: General

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This JEL code is mentioned in the following RePEc Biblio entries:

1. Bootstrap Methods

2020

• Mark F. J. Steel, 2020, "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, volume 58, issue 3, pages 644-719, September, DOI: 10.1257/jel.20191385.
• Koutchadé, Obafèmi Philippe & Carpentier, Alain & Féménia, Fabienne, 2020, "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2), number 307209, DOI: 10.22004/ag.econ.307209.
• Subrata Roy, 2020, "Gold & Stock Relation: Investors’ Reaction During Covid-19 Outbreak," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 26, pages 29-52, December, DOI: 10.47743/rebs-2020-2-0002.
• Ștefania-Mihaela Ozun & Vladimir-Sergiu Bobleanță & Denis Braica, 2020, "Analysis Of The Correlation Between Profitability And Risk In The Metallurgical Romanian Industry," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, volume 2, issue 48, pages 64-75, December.
• Mouchart, Michel & Orsi, Renzo & Wunsch, Guillaume, 2020, "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2020021, Jan.
• Simar, Leopold & Zelenyuk, Valentin, 2020, "Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2020002, Jan.
• Ngo Thai Hung, 2020, "Does volatility transmission between stock market returns of Central and Eastern European countries vary from normal to turbulent periods?," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 70, issue 3, pages 449-468, September, DOI: 10.1556/032.2020.00022.
• Davide La Vecchia & Alban Moor & Olivier Scaillet, 2020, "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Papers, arXiv.org, number 2001.04867, Jan, revised Jan 2022.
• Carlos Lamarche & Thomas Parker, 2020, "Wild Bootstrap Inference for Penalized Quantile Regression for Longitudinal Data," Papers, arXiv.org, number 2004.05127, Apr, revised May 2022.
• Carol Alexander & Xiaochun Meng & Wei Wei, 2020, "Targetting Kollo Skewness with Random Orthogonal Matrix Simulation," Papers, arXiv.org, number 2004.06586, Apr, revised Sep 2021.
• Kirill S. Glavatskiy & Mikhail Prokopenko & Adrian Carro & Paul Ormerod & Michael Harre, 2020, "Explaining herding and volatility in the cyclical price dynamics of urban housing markets using a large scale agent-based model," Papers, arXiv.org, number 2004.07571, Apr.
• Dimitris Korobilis & Davide Pettenuzzo, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," Papers, arXiv.org, number 2004.11486, Apr.
• Takaaki Koike & Yuri F. Saporito & Rodrigo S. Targino, 2020, "Avoiding zero probability events when computing Value at Risk contributions," Papers, arXiv.org, number 2004.13235, Apr, revised Jun 2022.
• Monica Billio & Roberto Casarin & Enrica De Cian & Malcolm Mistry & Anthony Osuntuyi, 2020, "The impact of Climate on Economic and Financial Cycles: A Markov-switching Panel Approach," Papers, arXiv.org, number 2012.14693, Dec.
• Nicola Curci & Pietro Rizza & Marzia Romanelli & Marco Savegnago, 2020, "Irpef: (Un)Fairness and (in)efficiency. A structural analysis based on the BIMic microsimulation model," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 546, Mar.
• Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2020, "The economic drivers of volatility and uncertainty," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1285, Jul.
• Nicola Curci & Giuseppe Grasso & Pasquale Recchia & Marco Savegnago, 2020, "Anti-poverty measures in Italy: a microsimulation analysis," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1298, Sep.
• Benavides Guillermo, 2020, "Asymmetric Volatility Effects in Risk Management: An Empirical Analysis using a Stock Index Futures," Working Papers, Banco de México, number 2020-10, Sep.
• Sajad Ahmad Bhat & Javed Ahmad Bhat & Taufeeq Ajaz, 2020, "The Public–Private Investment Nexus In India: Evidence From A Policy Simulation Approach," Economic Annals, Faculty of Economics and Business, University of Belgrade, volume 65, issue 224, pages 101-128, January –.
• Vladimir Boyko & Nadezhda Kislyak & Mikhail Nikitin & Oleg Oborin, 2020, "Methods for Estimating the Gross Regional Product Leading Indicator," Russian Journal of Money and Finance, Bank of Russia, volume 79, issue 3, pages 3-29, September, DOI: 10.31477/rjmf.202003.03.
• Furkan Emirmahmutoglu & Rangan Gupta & Stephen M. Miller & Tolga Omay, 2020, "Is real per capita state personal income stationary? New nonlinear, asymmetric panel‐data evidence," Bulletin of Economic Research, Wiley Blackwell, volume 72, issue 1, pages 50-62, January, DOI: 10.1111/boer.12209.
• Sebastian Kripfganz & Daniel C. Schneider, 2020, "Response Surface Regressions for Critical Value Bounds and Approximate p‐values in Equilibrium Correction Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 82, issue 6, pages 1456-1481, December, DOI: 10.1111/obes.12377.
• ROY Subrata, 2020, "Gold & Stock Relation: Investors Reaction During Covid-19 Outbreak," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, volume 72, issue 3, pages 103-126, November.
• M. Mouchart & R. Orsi & G. Wunsch, 2020, "Causality in Econometric Modeling. From Theory to Structural Causal Modeling," Working Papers, Dipartimento Scienze Economiche, Universita' di Bologna, number wp1143, Feb.
• Graziano Moramarco, 2020, "Measuring Global Macroeconomic Uncertainty," Working Papers, Dipartimento Scienze Economiche, Universita' di Bologna, number wp1148, Jun.
• Dungey Mardi & Martin Vance L. & Tang Chrismin & Tremayne Andrew, 2020, "A threshold mixed count time series model: estimation and application," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 24, issue 2, pages 1-18, April, DOI: 10.1515/snde-2018-0029.
• Ahmad Yamin S & Paya Ivan, 2020, "Temporal aggregation of random walk processes and implications for economic analysis," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 24, issue 2, pages 1-20, April, DOI: 10.1515/snde-2017-0102.
• Dimitris Korobilis & Davide Pettenuzzo, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers, Brandeis University, Department of Economics and International Business School, number 130, Apr.
• Wilson, A. & Nuttall, W. & Glowacki, B., 2020, "Techno-economic study of output-flexible light water nuclear reactor systems with cryogenic energy storage," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2001, Jan.
• Linton, O. & Seo, M. & Whang, Y-J., 2020, "Testing Stochastic Dominance with Many Conditioning Variables," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2004, Jan.
• Pesaran, M. H. & Yang, C. F., 2020, "Matching Theory and Evidence on Covid-19 using a Stochastic Network SIR Model," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 20102, Nov.
• Tambakis, D., 2020, "A Markov-Chain Measure of Systemic Banking Crisis Frequency," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2083, Sep.
• W. Robert Reed, 2020, "A Note on the Use of Partial Correlation Coefficients in Meta-Analyses," Working Papers in Economics, University of Canterbury, Department of Economics and Finance, number 20/08, Mar.
• Sanghyun Hong & W. Robert Reed, 2020, "Using Monte Carlo Experiments to Select Meta-Analytic Estimators," Working Papers in Economics, University of Canterbury, Department of Economics and Finance, number 20/10, Jun.
• Rafael S. M. Ribeiro, 2020, "Previsões a partir do Modelo Epidemiológico SIR para os Casos de Infecção pelo COVID-19: uma aplicação para os estados brasileiros," Notas Técnicas Cedeplar-UFMG, Cedeplar, Universidade Federal de Minas Gerais, number 005, Apr.
• Leonardo Costa Ribeiro & Américo Tristão Bernardes, 2020, "Estimate of underreporting of COVID-19 in Brazil by Acute Respiratory Syndrome hospitalization reports," Notas Técnicas Cedeplar-UFMG, Cedeplar, Universidade Federal de Minas Gerais, number 010, Apr.
• Amina Baba & Anna Cretti & Olivier Massol, 2020, "What can be learned from the free destination option in the LNG imbroglio?," Working Papers, Chaire Economie du climat, number 2004.
• Emmanuel Joel Aikins Abakah & Guglielmo Maria Caporale & Luis A. Gil-Alana, 2020, "Economic Policy Uncertainty: Persistence and Cross-Country Linkages," CESifo Working Paper Series, CESifo, number 8289.
• M. Hashem Pesaran & Cynthia Fan Yang, 2020, "Matching Theory and Evidence on Covid-19 Using a Stochastic Network SIR Model," CESifo Working Paper Series, CESifo, number 8695.
• Davide La Vecchia & Alban Moor & O. Scaillet, 2020, "A Higher-Order Correct Fast Moving-Average Bootstrap for Dependent Data," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 20-01, Jan.
• Giovanny Sandoval Paucar, 2020, "Efectos de propagación de los mercados financieros estadounidenses en los colombianos," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, volume 39, issue 81, pages 667-702.
• MOUCHART Michel, & ORSI Renzo, & WUNSCH Guillaume,, 2020, "Causality in econometric modeling. From theory to structural causal modeling," LIDAM Discussion Papers CORE, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE), number 2020003, Jan.
• Umba, Gilles Bertrand, 2020, "Estimation bayésienne d’un modèle DSGE pour une petite économie ouverte : Cas de la RD Congo," Dynare Working Papers, CEPREMAP, number 57, Feb.
• de Groot, Oliver & Richter, Alexander W. & Throckmorton, Nathaniel, 2020, "Valuation Risk Revalued," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14588, Apr.
• Pellizzari, Michele & De Giorgi, Giacomo & Rodríguez Barraquer, Tomás, 2020, "An Estimable Model of Production Interactions in Endogenous Networks," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 15461, Nov.
• Mohammed Ershad HUSSAIN & Mahfuzul HAQUE, 2020, "s the Balassa-Samuelson Hypothesis still relevant? Cross-country evidence from 1950 -2017," Journal of Economics and Political Economy, EconSciences Journals, volume 7, issue 3, pages 162-179, September.
• Cathrine Thato KOLOANE & Mangalani Peter MAKANANISA, 2020, "The impact of increasing VAT rate on state revenue, a South African case," Journal of Economics Library, EconSciences Journals, volume 7, issue 3, pages 123-136, September.
• Stephanie Ettmeier & Alexander Kriwoluzky, 2020, "Active, or Passive? Revisiting the Role of Fiscal Policy in the Great Inflation," Discussion Papers of DIW Berlin, DIW Berlin, German Institute for Economic Research, number 1872.
• Guowei Cui & Milda Norkuté & Vasilis Sarafidis & Takashi Yamagata, 2020, "Two-Stage Instrumental Variable Estimation of Linear Panel Data Models with Interactive Effects," ISER Discussion Paper, Institute of Social and Economic Research, The University of Osaka, number 1101, Sep.
• Chia-Cheng Chen & Chun-Hung Chen & Ting-Yin Liu, 2020, "Investment Performance of Machine Learning: Analysis of S&P 500 Index," International Journal of Economics and Financial Issues, Econjournals, volume 10, issue 1, pages 59-66.
• Dmitry Kulikov & Nicolas Reigl, 2020, "Inflation expectations in Phillips Curves models for the euro area," Bank of Estonia Working Papers, Bank of Estonia, number wp2019-8, Jan, revised 29 Jan 2020, DOI: 10.23656/25045520/082019/0171.
• Barde, Sylvain, 2020, "Macroeconomic simulation comparison with a multivariate extension of the Markov information criterion," Journal of Economic Dynamics and Control, Elsevier, volume 111, issue C, DOI: 10.1016/j.jedc.2019.103795.
• Han, Jong-Suk & Hur, Joonyoung, 2020, "Macroeconomic effects of monetary policy in Korea: A time-varying coefficient VAR approach," Economic Modelling, Elsevier, volume 89, issue C, pages 142-152, DOI: 10.1016/j.econmod.2019.10.002.
• Chen, Shou & Jiang, Xiangqian & He, Hongbo & Zhou, Xi, 2020, "A pricing model with dynamic repayment flows for guaranteed consumer loans," Economic Modelling, Elsevier, volume 91, issue C, pages 1-11, DOI: 10.1016/j.econmod.2020.05.013.
• Lian, Yu-Min & Chen, Jun-Home, 2020, "Joint dynamic modeling and option pricing in incomplete derivative-security market," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2018.09.003.
• Hong, Hui & Bian, Zhicun & Chen, Naiwei, 2020, "Leverage effect on stochastic volatility for option pricing in Hong Kong: A simulation and empirical study," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2019.02.003.
• Tang, Zhenpeng & Ran, Meng & Zhao, Yongxiang, 2020, "Stock trading dynamics and pedestrian counterflows: Analogies and differences," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2019.101015.
• Hounyo, Ulrich & Varneskov, Rasmus T., 2020, "Inference for local distributions at high sampling frequencies: A bootstrap approach," Journal of Econometrics, Elsevier, volume 215, issue 1, pages 1-34, DOI: 10.1016/j.jeconom.2019.09.001.
• Dufays, Arnaud & Rombouts, Jeroen V.K., 2020, "Relevant parameter changes in structural break models," Journal of Econometrics, Elsevier, volume 217, issue 1, pages 46-78, DOI: 10.1016/j.jeconom.2019.10.008.
• Doko Tchatoka, Firmin & Dufour, Jean-Marie, 2020, "Exogeneity tests, incomplete models, weak identification and non-Gaussian distributions: Invariance and finite-sample distributional theory," Journal of Econometrics, Elsevier, volume 218, issue 2, pages 390-418, DOI: 10.1016/j.jeconom.2020.04.022.
• Khalaf, Lynda & Saunders, Charles J., 2020, "Monte Carlo two-stage indirect inference (2SIF) for autoregressive panels," Journal of Econometrics, Elsevier, volume 218, issue 2, pages 419-434, DOI: 10.1016/j.jeconom.2020.04.023.
• Davidson, Russell & Trokić, Mirza, 2020, "The fast iterated bootstrap," Journal of Econometrics, Elsevier, volume 218, issue 2, pages 451-475, DOI: 10.1016/j.jeconom.2020.04.025.
• Haddad, Hedi Ben & Mezghani, Imed & Al Dohaiman, Mohammed, 2020, "Common shocks, common transmission mechanisms and time-varying connectedness among Dow Jones Islamic stock market indices and global risk factors," Economic Systems, Elsevier, volume 44, issue 2, DOI: 10.1016/j.ecosys.2020.100760.
• Boucher, Vincent, 2020, "Equilibrium homophily in networks," European Economic Review, Elsevier, volume 123, issue C, DOI: 10.1016/j.euroecorev.2020.103370.
• Tranberg, Bo & Hansen, Rasmus Thrane & Catania, Leopoldo, 2020, "Managing volumetric risk of long-term power purchase agreements," Energy Economics, Elsevier, volume 85, issue C, DOI: 10.1016/j.eneco.2019.104567.
• Lu, Quanying & Li, Yuze & Chai, Jian & Wang, Shouyang, 2020, "Crude oil price analysis and forecasting: A perspective of “new triangle”," Energy Economics, Elsevier, volume 87, issue C, DOI: 10.1016/j.eneco.2020.104721.
• Baba, Amina & Creti, Anna & Massol, Olivier, 2020, "What can be learned from the free destination option in the LNG imbroglio?," Energy Economics, Elsevier, volume 89, issue C, DOI: 10.1016/j.eneco.2020.104764.
• Ahmad, Wasim & Prakash, Ravi & Uddin, Gazi Salah & Chahal, Rishman Jot Kaur & Rahman, Md. Lutfur & Dutta, Anupam, 2020, "On the intraday dynamics of oil price and exchange rate: What can we learn from China and India?," Energy Economics, Elsevier, volume 91, issue C, DOI: 10.1016/j.eneco.2020.104871.
• Qin, Ping. & Chen, Peilin. & Zhang, Xiao-Bing. & Xie, Lunyu., 2020, "Coal taxation reform in China and its distributional effects on residential consumers," Energy Policy, Elsevier, volume 139, issue C, DOI: 10.1016/j.enpol.2020.111366.
• Nivelleau De La Brunière, Stanislas & Haye, Jean-Come & Mazza, Paolo, 2020, "The performance of corporate legal insiders on the French stock market," International Review of Law and Economics, Elsevier, volume 61, issue C, DOI: 10.1016/j.irle.2019.105880.
• Escobar-Anel, Marcos & Rastegari, Javad & Stentoft, Lars, 2020, "Affine multivariate GARCH models," Journal of Banking & Finance, Elsevier, volume 118, issue C, DOI: 10.1016/j.jbankfin.2020.105895.
• Škare, Marinko & Porada-Rochoń, Małgorzata, 2020, "Multi-channel singular-spectrum analysis of financial cycles in ten developed economies for 1970–2018," Journal of Business Research, Elsevier, volume 112, issue C, pages 567-575, DOI: 10.1016/j.jbusres.2019.10.047.
• Lankester-Campos, Valerie & Loaiza-Marín, Kerry & Monge-Badilla, Carlos, 2020, "Assessing public debt sustainability for Costa Rica using the fiscal reaction function," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 1, issue 1, DOI: 10.1016/j.latcb.2020.100014.
• Agbeyegbe, Terence D., 2020, "Bayesian analysis of output gap in Barbados," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 1, issue 1, DOI: 10.1016/j.latcb.2020.100020.
• Mumtaz, Haroon & Theodoridis, Konstantinos, 2020, "Dynamic effects of monetary policy shocks on macroeconomic volatility," Journal of Monetary Economics, Elsevier, volume 114, issue C, pages 262-282, DOI: 10.1016/j.jmoneco.2019.03.011.
• Huang, Jinbo & Ding, Ashley & Li, Yong & Lu, Dong, 2020, "Increasing the risk management effectiveness from higher accuracy: A novel non-parametric method," Pacific-Basin Finance Journal, Elsevier, volume 62, issue C, DOI: 10.1016/j.pacfin.2020.101373.
• Wang, Haoyu & Di, Junpeng & Yang, Zhaojun & Han, Qing, 2020, "Assessment of mutual fund performance based on Ensemble Empirical Mode Decomposition," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 538, issue C, DOI: 10.1016/j.physa.2019.122804.
• Silveira, Douglas & Vasconcelos, Silvinha, 2020, "Essays on duopoly competition with asymmetric firms: Is profit maximization always an evolutionary stable strategy?," International Journal of Production Economics, Elsevier, volume 225, issue C, DOI: 10.1016/j.ijpe.2019.107592.
• Xu, Yuhong & Yang, Zhenlin, 2020, "Specification Tests for Temporal Heterogeneity in Spatial Panel Data Models with Fixed Effects," Regional Science and Urban Economics, Elsevier, volume 81, issue C, DOI: 10.1016/j.regsciurbeco.2019.103488.
• Li, Liyao & Yang, Zhenlin, 2020, "Estimation of fixed effects spatial dynamic panel data models with small T and unknown heteroskedasticity," Regional Science and Urban Economics, Elsevier, volume 81, issue C, DOI: 10.1016/j.regsciurbeco.2020.103520.
• Firmin Doko Tchatoka & Qazi Haque, 2020, "On bootstrapping tests of equal forecast accuracy for nested models," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2020-27, Mar.
• Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2020, "Sampling properties of the Bayesian posterior mean with anapplication to WALS estimation," EIEF Working Papers Series, Einaudi Institute for Economics and Finance (EIEF), number 2003, revised Mar 2020.
• Luis M. Abadie & Marek Smid, 2020, "Climate change and heatwaves in the main coastal cities of the Basque Country," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, volume 97, issue 01, pages 165-189.
• Yu-Wei Hsieh & Matthew Shum, 2020, "Bayesian Estimation of Linear Sum Assignment Problems," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Cheng Hsiao", DOI: 10.1108/S0731-905320200000041011.
• Xiu Wei Yeap & Hooi Hooi Lean & Marius Galabe Sampid & Haslifah Mohamad Hasim, 2020, "The dependence structure and portfolio risk of Malaysia's foreign exchange rates: the Bayesian GARCH–EVT–copula model," International Journal of Emerging Markets, Emerald Group Publishing Limited, volume 16, issue 5, pages 952-974, October, DOI: 10.1108/IJOEM-02-2020-0169.
• Bhushan Praveen Jangam & Badri Narayan Rath, 2020, "Does productivity drive the real exchange rate movements? A re-examination of the Balassa–Samuelson hypothesis," Journal of Economic Studies, Emerald Group Publishing Limited, volume 47, issue 5, pages 1093-1118, June, DOI: 10.1108/JES-05-2019-0197.
• Washington Martins Silva & Osvaldo Candido, 2020, "Assessing Brazilian electric power transmission auctions," Journal of Economic Studies, Emerald Group Publishing Limited, volume 47, issue 1, pages 182-199, February, DOI: 10.1108/JES-06-2018-0212.
• Andy Wilson & William J Nuttall & Bartek A Glowacki, 2020, "Techno-economic study of output-flexible light water nuclear reactor systems with cryogenic energy storage," Working Papers, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge, number EPRG2001, Jan.
• Krzysztof Dmytrow, 2020, "Impact of the Method of Criteria Normalisation on the Order Picking Route and Time," European Research Studies Journal, European Research Studies Journal, volume 0, issue 4, pages 834-851.
• Grzegorz Przekota, 2020, "Application of the Surface Division Method to Segregate Investments in Capital Markets for Shares‘ Portfolio," European Research Studies Journal, European Research Studies Journal, volume 0, issue Special 1, pages 883-896.
• Alenka Guzmán & Marco Antonio Pérez, 2020, "Extensión de la pandemia Covid-19 frente al acceso a la vacuna y las capacidades tecnológicas y de innovación del sector biofarmacéutico de México," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, volume 0, issue 2, pages 69-98, Diciembre, DOI: 10.24275/ETYPUAM/NE/E052020/Guzman.
• Lubomira Gertler & Kristina Janovicova-Bognarova & Lukas Majer, 2020, "Explaining Corporate Credit Default Rates with Sector Level Detail," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 70, issue 2, pages 96-120, August.
• Edward S. Knotek & Saeed Zaman, 2020, "Real-Time Density Nowcasts of US Inflation: A Model-Combination Approach," Working Papers, Federal Reserve Bank of Cleveland, number 20-31, Oct, DOI: 10.26509/frbc-wp-202031.
• Enrique Martínez García & Efthymios Pavlidis & Kostas Vasilopoulos, 2020, "exuber: Recursive Right-Tailed Unit Root Testing with R," Globalization Institute Working Papers, Federal Reserve Bank of Dallas, number 383, May, revised 19 Oct 2021, DOI: 10.24149/gwp383r1.
• Tyler Atkinson & Michael D. Plante & Alexander W. Richter & Nathaniel A. Throckmorton, 2020, "Complementarity and Macroeconomic Uncertainty," Working Papers, Federal Reserve Bank of Dallas, number 2009, Mar, DOI: 10.24149/wp2009.
• Tyler Atkinson & Jim Dolmas & Christoffer Koch & Evan F. Koenig & Karel Mertens & Anthony Murphy & Kei-Mu Yi, 2020, "Mobility and Engagement Following the SARS-Cov-2 Outbreak," Working Papers, Federal Reserve Bank of Dallas, number 2014, May, DOI: 10.24149/wp2014.
• Christopher Otrok & B. Ravikumar, 2020, "Asset Pricing Through the Lens of the Hansen-Jagannathan Bound," Review, Federal Reserve Bank of St. Louis, volume 102, issue 3, pages 255-269, July, DOI: 10.20955/r.102.255-69.
• Siddhartha Chib & Minchul Shin & Fei Tan, 2020, "High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗," Working Papers, Federal Reserve Bank of Philadelphia, number 20-35, Sep, DOI: 10.21799/frbp.wp.2020.35.
• Turuntseva Marina & Astafieva Ekaterina & Bozhechkova Alexandra & Baeva Marina & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 1, pages 1-28, January.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 10, pages 1-29, October.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 11, pages 1-29, November.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 12, pages 1-29, December.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 2, pages 1-28, February.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 3, pages 1-28, March.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 4, pages 1-28, April.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 5, pages 1-28, May.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 6, pages 1-29, June.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 7, pages 1-29, July.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 8, pages 1-29, August.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2020, "Model Calculations of Short-Run Forecasts of Russian Economic Time Series," Model Calculations of Short-Term Forecasts of Russian Economic Time Series, Gaidar Institute for Economic Policy, issue 9, pages 1-29, September.
• David Ardia & Lukasz T. Gatarek & Lennart Hoogerheide & Herman K. Van Dijk, 2020, "Correction: Ardia, D., et al. Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices. Econometrics 2016, 4 , 14," Econometrics, MDPI, volume 8, issue 1, pages 1-1, February.
• Katsuto Tanaka & Weilin Xiao & Jun Yu, 2020, "Maximum Likelihood Estimation for the Fractional Vasicek Model," Econometrics, MDPI, volume 8, issue 3, pages 1-28, August.
• Dimitris Korobilis & Davide Pettenuzzo, 2020, "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers, Business School - Economics, University of Glasgow, number 2020_09, Apr.
• Dimitris Korobilis, 2020, "Sign restrictions in high-dimensional vector autoregressions," Working Papers, Business School - Economics, University of Glasgow, number 2020_21, Sep.
• La Vecchia, Davide & Moor, Alban & Scaillet, Olivier, 2020, "A higher-order correct fast moving-average bootstrap for dependent data," Working Papers, University of Geneva, Geneva School of Economics and Management, number unige:129395.
• Amina Baba & Anna Creti & Olivier Massol, 2020, "What can be learned from the free destination option in the LNG imbroglio ?," Post-Print, HAL, number hal-02955119, Jun, DOI: 10.1016/j.eneco.2020.104764.
• Russell Davidson & Mirza Trokić, 2020, "The fast iterated bootstrap," Post-Print, HAL, number hal-02965001, Oct, DOI: 10.1016/j.jeconom.2020.04.025.
• Obafemi Philippe Koutchade & Alain Carpentier & Fabienne Femenia, 2020, "Crop choices in micro-econometric multi-crop models: modelling corners, kinks and jumps," Working Papers, HAL, number hal-02983249, Oct, DOI: 10.1111/ajae.12152.
• Amina Baba & Anna Creti & Olivier Massol, 2020, "What can be learned from the free destination option in the LNG Imbroglio ?," Working Papers, HAL, number hal-03192881, Jan.
• Lombardi, Stefano & van den Berg, Gerard J. & Vikström, Johan, 2020, "Empirical Monte Carlo evidence on estimation of Timing-of-Events models," Working Paper Series, IFAU - Institute for Evaluation of Labour Market and Education Policy, number 2020:26, Dec, revised 05 Jan 2021.
• Karlsson, Sune & Mazur, Stepan, 2020, "Flexible Fat-tailed Vector Autoregression," Working Papers, Örebro University, School of Business, number 2020:5, Apr.
• Inna S. Lola & Anton Manukov, 2020, "Forecasting Employment In Small Businesses In Russia: The Relevance Of Business Tendency Surveys," HSE Working papers, National Research University Higher School of Economics, number WP BRP 113/STI/2020.
• Tsunetada HIROBE, 2020, "Is Stability For Regional Disparities Of Unemployment Rates Truly Mysterious? An Analysis From Statistical Approach," Regional Science Inquiry, Hellenic Association of Regional Scientists, volume 0, issue 1, pages 253-260, June.
• Lankester Campos, Valerie & Loaiza Marín, Kerry & Monge Badilla, Carlos, 2020, "Primary Balance: Sustainability Analysis under Uncertainty," IDB Publications (Working Papers), Inter-American Development Bank, number 10780, Oct, DOI: http://dx.doi.org/10.18235/0002800.
• Zaafri Ananto Husodo & Sigit Sulistyo Wibowo & Muhammad Budi Prasetyo & Usman Arief & Maulana Harris Muhajir, 2020, "Estimating A Joint Probability Of Default Index For Indonesian Banks: A Copula Approach," Bulletin of Monetary Economics and Banking, Bank Indonesia, volume 23, issue 3, pages 387-410, October, DOI: https://doi.org/10.21098/bemp.v23i3.
• Paula Beatriz Morales Bañuelos, 2020, "Selección del modelo de mejor estimación del Valor Razonable en un mercado emergente," 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 15, issue 1, pages 81-103, Enero - M.
• Carlos Guerrero de Lizardi, 2020, "Granger revisited: t values and the empirical OLS bias with stationary and non-stationary time series using Monte Carlo simulations," 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 15, issue SNEA, pages 577-588, Agosto 20.
• Theresa Beltramo & Hai-Anh H. Dang & Ibrahima Sarr & Paolo Verme, 2020, "Estimating Poverty among Refugee Populations: A Cross-Survey Imputation Exercise for Chad," Working Papers, ECINEQ, Society for the Study of Economic Inequality, number 536, May.
• Hai-Anh H. Dang & Peter F. Lanjouw, 2020, "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," Working Papers, ECINEQ, Society for the Study of Economic Inequality, number 540, Jun.
• Dang, Hai-Anh H & Lanjouw, Peter F., 2020, "Welfare Dynamics in India over a Quarter Century: Poverty, Vulnerability, and Mobility during 1987-2012," IZA Discussion Papers, IZA Network @ LISER, number 13215, May.
• O'Donoghue, Cathal & Sologon, Denisa M. & Kyzyma, Iryna & McHale, John, 2020, "Modelling the Distributional Impact of the COVID-19 Crisis," IZA Discussion Papers, IZA Network @ LISER, number 13235, May.
• Janys, Lena, 2020, "Evidence for a Two-Women Quota in University Departments across Disciplines," IZA Discussion Papers, IZA Network @ LISER, number 13372, Jun.
• Hyeong-Ohk Bae & Seung-Yeal Ha & Yongsik Kim & Hyuncheul Lim & Jane Yoo, 2020, "Volatility Flocking by Cucker–Smale Mechanism in Financial Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, volume 27, issue 3, pages 387-414, September, DOI: 10.1007/s10690-019-09299-9.
• Murat Midiliç, 2020, "Estimation of STAR–GARCH Models with Iteratively Weighted Least Squares," Computational Economics, Springer;Society for Computational Economics, volume 55, issue 1, pages 87-117, January, DOI: 10.1007/s10614-018-9876-8.
• Heni Boubaker, 2020, "Wavelet Estimation Performance of Fractional Integrated Processes with Heavy-Tails," Computational Economics, Springer;Society for Computational Economics, volume 55, issue 2, pages 473-498, February, DOI: 10.1007/s10614-019-09897-9.

2019

• Antoine A. Djogbenou & James G. MacKinnon & Morten Ørregaard Nielsen, 2019, "Asymptotic Theory and Wild Bootstrap Inference with Clustered Errors," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2019-05, Apr.
• Gabriela Pesce & Gastón Milanesi & Emilio El Alabi & Joaquín Menna, 2019, "Valuación de un seguro de vida mediante opciones exóticas," Asociación Argentina de Economía Política: Working Papers, Asociación Argentina de Economía Política, number 4189, Nov.
• Ryan Kruger & Chun-Sung Huang & Kanshukan Rajaratnam & Chun-Kai Huang, 2019, "A Comparative Analysis of Aggregational Gaussianity Across Different Market Capitalisations for JSE-listed Shares and Indices," The African Finance Journal, Africagrowth Institute, volume 21, issue 2, pages 24-35.
• Vladan Pavlović & Goranka Knežević & Marijana Joksimović & Dušan Joksimović, 2019, "Fraud Detection in Financial Statements Applying Benford’s Law with Monte Carlo Simulation," Acta Oeconomica, Akadémiai Kiadó, Hungary, volume 69, issue 2, pages 217-239, June.
• Jessica Bracco & Leonardo Gasparini & Leopoldo Tornarolli, 2019, "Explorando los cambios de la pobreza en Argentina: 2003-2015," Económica, Instituto de Investigaciones Económicas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, volume 65, pages 69-124, January-D.
• Arne Melchior, 2019, "Russia in world trade: Between globalism and regionalism," Russian Journal of Economics, ARPHA Platform, volume 5, issue 4, pages 354-384, December, DOI: 10.32609/j.ruje.5.49345.
• Susan Athey & Guido Imbens & Jonas Metzger & Evan Munro, 2019, "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," Papers, arXiv.org, number 1909.02210, Sep, revised Jul 2020.
• Slavko Bezeredi, 2019, "The Impact Of Tax And Social Benefit System Reforms On Work Incentives In Croatia: 2013-2018," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, volume 28, issue 2, pages 613-638, december.
• Nicola Curci & Marco Savegnago, 2019, "Shifting taxes from labour to consumption: the efficiency-equity trade-off," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1244, Nov.
• Jitka Pomenkova & Eva Klejmova & Zuzana Kucerova, 2019, "Cyclicality in lending activity of Euro area in pre- and post- 2008 crisis: a local-adaptive-based testing of wavelets," Baltic Journal of Economics, Baltic International Centre for Economic Policy Studies, volume 19, issue 1, pages 155-175, DOI: 10.1080/1406099X.2019.1596466.
• Emanuel Kohlscheen & Jouchi Nakajima, 2019, "Steady-state growth," BIS Working Papers, Bank for International Settlements, number 812, Sep.
• Hai‐Anh Dang & Dean Jolliffe & Calogero Carletto, 2019, "Data Gaps, Data Incomparability, And Data Imputation: A Review Of Poverty Measurement Methods For Data‐Scarce Environments," Journal of Economic Surveys, Wiley Blackwell, volume 33, issue 3, pages 757-797, July, DOI: 10.1111/joes.12307.
• Daniel Buncic, 2019, "Identification and Estimation Issues in Exponential Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 81, issue 3, pages 667-685, June, DOI: 10.1111/obes.12264.
• Gary Koop & Dimitris Korobilis, 2019, "Forecasting with High‐Dimensional Panel VARs," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 81, issue 5, pages 937-959, October, DOI: 10.1111/obes.12303.
• Taras Bodnar & Stepan Mazur & Nestor Parolya, 2019, "Central limit theorems for functionals of large sample covariance matrix and mean vector in matrix‐variate location mixture of normal distributions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, volume 46, issue 2, pages 636-660, June, DOI: 10.1111/sjos.12383.
• Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019, "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper, Norges Bank, number 2019/2, Jan.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2019, "Forecast density combinations with dynamic learning for large data sets in economics and finance," Working Paper, Norges Bank, number 2019/7, Mar.
• Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019, "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 01/2019, Jan.
• Shakeeb Khan & Denis Nekipelov, 2019, "On Uniform Inference in Nonlinear Models with Endogeneity," Boston College Working Papers in Economics, Boston College Department of Economics, number 986, Sep.
• Tsakas Nikolas, 2019, "On Decay Centrality," The B.E. Journal of Theoretical Economics, De Gruyter, volume 19, issue 1, pages 1-18, January, DOI: 10.1515/bejte-2017-0010.
• Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019, "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS59, Feb.
• Zuzana Mucka, 2019, "The mirror does not lie: Endogenous fiscal limits for Slovakia," Working Papers, Council for Budget Responsibility, number Working Paper No. 2/2019, May.
• Sanghyun Hong & W. Robert Reed, 2019, "A Performance Analysis of Some New Meta-Analysis Estimators Designed to Correct Publication Bias," Working Papers in Economics, University of Canterbury, Department of Economics and Finance, number 19/04, Apr.
• Sanghyun Hong & W. Robert Reed, 2019, "Towards an Experimental Framework for Assessing Meta-Analysis Methods, with a Focus on Andrews-Kasy Estimators," Working Papers in Economics, University of Canterbury, Department of Economics and Finance, number 19/13, Oct.
• V A Hajivassiliou & Frédérique Savignac & Frédérique Savignac, 2019, "Novel Approaches to Coherency Conditions in Dynamic LDV Models: Quantifying Financing Constraints and a Firm's Decision and Ability to Innovate," STICERD - Econometrics Paper Series, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE, number 606, Oct.
• V A Hajivassiliou, 2019, "Estimation and Specification Testing of Panel Data Models with Non-Ignorable Persistent Heterogeneity, Contemporaneous and Intertemporal Simultaneity, and Observable and Unobservable Dynamics," STICERD - Econometrics Paper Series, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE, number 609, Sep.
• V A Hajivassiliou, 2019, "Switching Regressions with Imperfect Regime Classification Information: Theory and Applications," STICERD - Econometrics Paper Series, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE, number 610, Nov.
• Elisabeth Christen & Michael Pfaffermayr & Yvonne Wolfmayr, 2019, "Trade Costs in Services: Firm Survival, Firm Growth and Implied Changes in Employment," CESifo Working Paper Series, CESifo, number 8008.
• Advani, Arun & Kitagawa, Toru & Sloczynski, Tymon, 2019, "Mostly Harmless Simulations? Using Monte Carlo Studies for Estimator Selection," CAGE Online Working Paper Series, Competitive Advantage in the Global Economy (CAGE), number 411.
• Kenkin Morales González & William Manjarr�s de �vila & Sadan de la Cruz Almanza, 2019, "Evaluación del Servicio Público de Empleo: sus efectos en la inserción laboral formal en el Área Metropolitana de Barranquilla, Colombia," Revista Lecturas de Economía, Universidad de Antioquia, CIE, issue 91, pages 211-239.
• Verena Monschang & Bernd Wilfling, 2019, "Sup-ADF-style bubble-detection methods under test," CQE Working Papers, Center for Quantitative Economics (CQE), University of Muenster, number 7819, Feb.
• Guillaume MAROIS & Patrick SABOURIN & Alain BÉLANGER, 2019, "Forecasting Human Capital of EU Member Countries Accounting for Sociocultural Determinants," JODE - Journal of Demographic Economics, Cambridge University Press, volume 85, issue 3, pages 231-269, September, DOI: 10.1017/dem.2019.4.
• Xiao, Weilin & Yu, Jun, 2019, "Asymptotic Theory For Estimating Drift Parameters In The Fractional Vasicek Model," Econometric Theory, Cambridge University Press, volume 35, issue 1, pages 198-231, February.
• Maria Kyriacou & Peter C.B. Phillips & Francesca Rossi, 2019, "Continuously Updated Indirect Inference in Heteroskedastic Spatial Models," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2208, Oct.
• Jessica Bracco & Leonardo Gasparini & Leopoldo Tornarolli, 2019, "Explorando los cambios de la pobreza en Argentina: 2003-2015," CEDLAS, Working Papers, CEDLAS, Universidad Nacional de La Plata, number 0245, May.
• Julia Bellenbaum & Benjamin Böcker & Thomas Kallabis & Christoph Weber, 2019, "Probabilistic methodology for adequacy assessment under uncertainty for a multi-region system," EWL Working Papers, University of Duisburg-Essen, Chair for Management Science and Energy Economics, number 1912, Dec, revised Dec 2019.
• Chin-Sheng Huang & Yi-Sheng Liu, 2019, "Machine Learning on Stock Price Movement Forecast: The Sample of the Taiwan Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 2, pages 189-201.
• Sirilius Seran, 2019, "Social Economic Status to the Number of Life Expectancy," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 4, pages 166-171.
• Nidhi Malhotra & Saumya Gupta, 2019, "Volatility Spillovers and Correlation Between Cryptocurrencies and Asian Equity Market," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 6, pages 208-215.
• Groll, Andreas & Hambuckers, Julien & Kneib, Thomas & Umlauf, Nikolaus, 2019, "LASSO-type penalization in the framework of generalized additive models for location, scale and shape," Computational Statistics & Data Analysis, Elsevier, volume 140, issue C, pages 59-73, DOI: 10.1016/j.csda.2019.06.005.
• Lee, Junsoo & Tieslau, Margie, 2019, "Panel LM unit root tests with level and trend shifts," Economic Modelling, Elsevier, volume 80, issue C, pages 1-10, DOI: 10.1016/j.econmod.2017.11.001.
• Ji, Jingru & Wang, Donghua & Xu, Dinghai, 2019, "Modelling the spreading process of extreme risks via a simple agent-based model: Evidence from the China stock market," Economic Modelling, Elsevier, volume 80, issue C, pages 383-391, DOI: 10.1016/j.econmod.2018.11.022.
• Fasolo, Angelo Marsiglia, 2019, "Monetary policy volatility shocks in Brazil," Economic Modelling, Elsevier, volume 81, issue C, pages 348-360, DOI: 10.1016/j.econmod.2019.06.012.
• Xiao, Weilin & Yu, Jun, 2019, "Asymptotic theory for rough fractional Vasicek models," Economics Letters, Elsevier, volume 177, issue C, pages 26-29, DOI: 10.1016/j.econlet.2019.01.020.
• Cheng, Tingting & Gao, Jiti & Yan, Yayi, 2019, "Regime switching panel data models with interactive fixed effects," Economics Letters, Elsevier, volume 177, issue C, pages 47-51, DOI: 10.1016/j.econlet.2019.01.024.
• Christou, Christina & Gupta, Rangan & Nyakabawo, Wendy, 2019, "Time-varying impact of uncertainty shocks on the US housing market," Economics Letters, Elsevier, volume 180, issue C, pages 15-20, DOI: 10.1016/j.econlet.2019.03.029.
• Yao, Xingzhi & Izzeldin, Marwan & Li, Zhenxiong, 2019, "Modelling systems with a mixture of I(d) and I(0) variables using the fractionally co-integrated VAR model," Economics Letters, Elsevier, volume 181, issue C, pages 160-163, DOI: 10.1016/j.econlet.2019.05.031.
• Mykland, Per A. & Zhang, Lan & Chen, Dachuan, 2019, "The algebra of two scales estimation, and the S-TSRV: High frequency estimation that is robust to sampling times," Journal of Econometrics, Elsevier, volume 208, issue 1, pages 101-119, DOI: 10.1016/j.jeconom.2018.09.007.
• Richard, Patrick, 2019, "Residual bootstrap tests in linear models with many regressors," Journal of Econometrics, Elsevier, volume 208, issue 2, pages 367-394, DOI: 10.1016/j.jeconom.2018.10.002.
• McAlinn, Kenichiro & West, Mike, 2019, "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 155-169, DOI: 10.1016/j.jeconom.2018.11.010.
• Baştürk, N. & Borowska, A. & Grassi, S. & Hoogerheide, L. & van Dijk, H.K., 2019, "Forecast density combinations of dynamic models and data driven portfolio strategies," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 170-186, DOI: 10.1016/j.jeconom.2018.11.011.
• Herbst, Edward & Schorfheide, Frank, 2019, "Tempered particle filtering," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 26-44, DOI: 10.1016/j.jeconom.2018.11.003.
• Bianchi, Daniele & Billio, Monica & Casarin, Roberto & Guidolin, Massimo, 2019, "Modeling systemic risk with Markov Switching Graphical SUR models," Journal of Econometrics, Elsevier, volume 210, issue 1, pages 58-74, DOI: 10.1016/j.jeconom.2018.11.005.
• Chen, Qihui & Fang, Zheng, 2019, "Inference on functionals under first order degeneracy," Journal of Econometrics, Elsevier, volume 210, issue 2, pages 459-481, DOI: 10.1016/j.jeconom.2019.01.011.
• Guo, Shaojun & Li, Dong & Li, Muyi, 2019, "Strict stationarity testing and GLAD estimation of double autoregressive models," Journal of Econometrics, Elsevier, volume 211, issue 2, pages 319-337, DOI: 10.1016/j.jeconom.2019.01.012.
• Bergamelli, Michele & Bianchi, Annamaria & Khalaf, Lynda & Urga, Giovanni, 2019, "Combining p-values to test for multiple structural breaks in cointegrated regressions," Journal of Econometrics, Elsevier, volume 211, issue 2, pages 461-482, DOI: 10.1016/j.jeconom.2019.01.013.