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

2019

• Smith, Simon C. & Timmermann, Allan & Zhu, Yinchu, 2019, "Variable selection in panel models with breaks," Journal of Econometrics, Elsevier, volume 212, issue 1, pages 323-344, DOI: 10.1016/j.jeconom.2019.04.033.
• Djogbenou, Antoine A. & MacKinnon, James G. & Nielsen, Morten Ørregaard, 2019, "Asymptotic theory and wild bootstrap inference with clustered errors," Journal of Econometrics, Elsevier, volume 212, issue 2, pages 393-412, DOI: 10.1016/j.jeconom.2019.04.035.
• Frazier, David T. & Oka, Tatsushi & Zhu, Dan, 2019, "Indirect inference with a non-smooth criterion function," Journal of Econometrics, Elsevier, volume 212, issue 2, pages 623-645, DOI: 10.1016/j.jeconom.2019.06.003.
• Boldea, Otilia & Cornea-Madeira, Adriana & Hall, Alastair R., 2019, "Bootstrapping structural change tests," Journal of Econometrics, Elsevier, volume 213, issue 2, pages 359-397, DOI: 10.1016/j.jeconom.2019.05.019.
• Liu, Tuo & Lee, Lung-fei, 2019, "A likelihood ratio test for spatial model selection," Journal of Econometrics, Elsevier, volume 213, issue 2, pages 434-458, DOI: 10.1016/j.jeconom.2019.07.001.
• Beare, Brendan K. & Shi, Xiaoxia, 2019, "An improved bootstrap test of density ratio ordering," Econometrics and Statistics, Elsevier, volume 10, issue C, pages 9-26, DOI: 10.1016/j.ecosta.2018.08.002.
• Al-Sadoon, Majid M., 2019, "Testing subspace Granger causality," Econometrics and Statistics, Elsevier, volume 9, issue C, pages 42-61, DOI: 10.1016/j.ecosta.2017.08.003.
• Galuščák, Kamil & Kátay, Gábor, 2019, "Tax-benefit systems and differences in aggregate labour force participation: Comparative evidence from the Czech Republic and Hungary," Economic Systems, Elsevier, volume 43, issue 3, DOI: 10.1016/j.ecosys.2019.100701.
• Czajkowski, Mikołaj & Budziński, Wiktor, 2019, "Simulation error in maximum likelihood estimation of discrete choice models," Journal of choice modelling, Elsevier, volume 31, issue C, pages 73-85, DOI: 10.1016/j.jocm.2019.04.003.
• Yan, Cheng & Cheng, Tingting, 2019, "In search of the optimal number of fund subgroups," Journal of Empirical Finance, Elsevier, volume 50, issue C, pages 78-92, DOI: 10.1016/j.jempfin.2018.12.002.
• Al-Zoubi, Haitham A., 2019, "Bond and option prices with permanent shocks," Journal of Empirical Finance, Elsevier, volume 53, issue C, pages 272-290, DOI: 10.1016/j.jempfin.2019.07.010.
• Caloia, Francesco Giuseppe & Cipollini, Andrea & Muzzioli, Silvia, 2019, "How do normalization schemes affect net spillovers? A replication of the Diebold and Yilmaz (2012) study," Energy Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.eneco.2019.104536.
• Lin, Yuehao & Lehnert, Thorsten & Wolff, Christian, 2019, "Skewness risk premium: Theory and empirical evidence," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 174-185, DOI: 10.1016/j.irfa.2019.04.002.
• Philippas, Dionisis & Rjiba, Hatem & Guesmi, Khaled & Goutte, Stéphane, 2019, "Media attention and Bitcoin prices," Finance Research Letters, Elsevier, volume 30, issue C, pages 37-43, DOI: 10.1016/j.frl.2019.03.031.
• Bezemer, Dirk & Zhang, Lu, 2019, "Credit composition and the severity of post-crisis recessions," Journal of Financial Stability, Elsevier, volume 42, issue C, pages 52-66, DOI: 10.1016/j.jfs.2019.05.010.
• Parrado-Martínez, Purificación & Gómez-Fernández-Aguado, Pilar & Partal-Ureña, Antonio, 2019, "Factors influencing the European bank’s probability of default: An application of SYMBOL methodology," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 61, issue C, pages 223-240, DOI: 10.1016/j.intfin.2019.04.003.
• O’Hara, Michael, 2019, "Teaching hypothesis testing with simulated distributions," International Review of Economics Education, Elsevier, volume 30, issue C, pages 1-1, DOI: 10.1016/j.iree.2018.05.005.
• Lazar, Emese & Zhang, Ning, 2019, "Model risk of expected shortfall," Journal of Banking & Finance, Elsevier, volume 105, issue C, pages 74-93, DOI: 10.1016/j.jbankfin.2019.05.017.
• Wegener, Christoph & Kruse, Robinson & Basse, Tobias, 2019, "The walking debt crisis," Journal of Economic Behavior & Organization, Elsevier, volume 157, issue C, pages 382-402, DOI: 10.1016/j.jebo.2017.10.008.
• Carson, Richard T. & Czajkowski, Mikołaj, 2019, "A new baseline model for estimating willingness to pay from discrete choice models," Journal of Environmental Economics and Management, Elsevier, volume 95, issue C, pages 57-61, DOI: 10.1016/j.jeem.2019.03.003.
• Kilgarriff, Paul & Charlton, Martin & Foley, Ronan & O'Donoghue, Cathal, 2019, "The impact of housing consumption value on the spatial distribution of welfare," Journal of Housing Economics, Elsevier, volume 43, issue C, pages 118-130, DOI: 10.1016/j.jhe.2018.11.002.
• Spelta, A. & Pecora, N. & Rovira Kaltwasser, P., 2019, "Identifying Systemically Important Banks: A temporal approach for macroprudential policies," Journal of Policy Modeling, Elsevier, volume 41, issue 1, pages 197-218, DOI: 10.1016/j.jpolmod.2018.06.004.
• Seip, Knut L., 2019, "Does tax reduction have an effect on gross domestic product? An empirical investigation," Journal of Policy Modeling, Elsevier, volume 41, issue 6, pages 1128-1143, DOI: 10.1016/j.jpolmod.2019.01.005.
• Hoang, Khoa & Cannavan, Damien & Gaunt, Clive & Huang, Ronghong, 2019, "Is that factor just lucky? Australian evidence," Pacific-Basin Finance Journal, Elsevier, volume 57, issue C, DOI: 10.1016/j.pacfin.2019.101191.
• Kosc, Krzysztof & Sakowski, Paweł & Ślepaczuk, Robert, 2019, "Momentum and contrarian effects on the cryptocurrency market," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 523, issue C, pages 691-701, DOI: 10.1016/j.physa.2019.02.057.
• Rathgeber, A.W. & Stadler, J. & Stöckl, S., 2019, "Financial modelling applying multivariate Lévy processes: New insights into estimation and simulation," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 532, issue C, DOI: 10.1016/j.physa.2019.121386.
• He, Yi & Wu, Shan & Tong, Mu, 2019, "Systemic risk and liquidity rescue in complex financial networks: Pit hole and black hole of liquidity," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 536, issue C, DOI: 10.1016/j.physa.2019.04.241.
• Landini, S. & Uberti, M. & Casellina, S., 2019, "Credit risk migration rates modelling as open systems II: A simulation model and IFRS9-baseline principles," Structural Change and Economic Dynamics, Elsevier, volume 50, issue C, pages 175-189, DOI: 10.1016/j.strueco.2019.06.013.
• Hajivassiliou, Vassilis & Savignac, Frédérique, 2019, "Novel approaches to coherency conditions in dynamic LDV models: quantifying financing constraints and a firm's decision and ability to innovate," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 102544, Oct.
• Hajivassiliou, Vassilis, 2019, "Estimation and specification testing of panel data models with non-ignorable persistent heterogeneity, contemporaneous and intertemporal simultaneity and observable and unobservable dynamics," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 102843, Sep.
• Hajivassiliou, Vassilis, 2019, "Switching regressions with imperfect regime classification information: theory and applications," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 103119, Nov.
• Franco Peracchi & Claudio Rossetti, 2019, "A nonlinear dynamic factor model of health and medical treatment," EIEF Working Papers Series, Einaudi Institute for Economics and Finance (EIEF), number 1901, revised Feb 2019.
• Jorge Miguel Bravo, 2019, "Funding for longer lives. Retirement wallet and risk-sharing annuities," EKONOMIAZ. Revista vasca de Economía, Gobierno Vasco / Eusko Jaurlaritza / Basque Government, volume 96, issue 02, pages 268-291.
• Md. Nazmul Ahsan & Jean-Marie Dufour, 2019, "A Simple Efficient Moment-based Estimator for the Stochastic Volatility Model," Advances in Econometrics, Emerald Group Publishing Limited, "Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A", DOI: 10.1108/S0731-90532019000040A008.
• Bayuk O.A. & Denezhkina I.E. & Zadadaev S.A., 2019, "Visualization of the Decision Criteria in Testing Statistical Hypotheses on Programming in R (Rstudio)," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), volume 0, issue Special 2, pages 289-296.
• Gazaryan V.A. & Guryanova I.E. & Melekhina T.L., 2019, "Statistical Models and the Theory of Hypothesis Testing in Medicine," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), volume 0, issue Special 2, pages 334-342.
• Sebastian Kripfganz & Daniel C. Schneider, 2019, "Response surface regressions for critical value bounds and approximate p-values in equilibrium correction models," Discussion Papers, University of Exeter, Department of Economics, number 1901.
• Jiri Witzany & Milan Ficura, 2019, "Sequential Gibbs Particle Filter Algorithm with Applications to Stochastic Volatility and Jumps Estimation," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 69, issue 5, pages 463-488, October.
• Luca Farnia, 2019, "On the Use of Spectral Value Decomposition for the Construction of Composite Indices," Working Papers, Fondazione Eni Enrico Mattei, number 2019.08, May.
• Imad Chahboun & Nathaniel Hoover, 2019, "Variable Annuities: Underlying Risks and Sensitivities," Supervisory Research and Analysis Working Papers, Federal Reserve Bank of Boston, number RPA 19-1, Apr.
• Edward S. Knotek, 2019, "The Roles of Price Points and Menu Costs in Price Rigidity," Working Papers, Federal Reserve Bank of Cleveland, number 19-23, Nov, DOI: 10.26509/frbc-wp-201923.
• Han Hong & Huiyu Li & Jessie Li, 2019, "BLP Estimation Using Laplace Transformation and Overlapping Simulation Draws," Working Paper Series, Federal Reserve Bank of San Francisco, number 2019-24, Sep, DOI: 10.24148/wp2019-24.
• Richard K. Crump & Nikolay Gospodinov, 2019, "Deconstructing the yield curve," Staff Reports, Federal Reserve Bank of New York, number 884, Apr.
• Ion Stancu & Dragoş Haşeganu & Alexandra Darmaz-Guzun, 2019, "Proiecții privind sustenabilitatea sistemului de pensii în România," Journal of Financial Studies, Institute of Financial Studies, volume 6, issue 4, pages 50-67, June.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2019, "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 1-29, January.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2019, "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, 2019, "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, 2019, "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 1-28, December.
• Turuntseva Marina & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2019, "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, August.
• Turuntseva Marina & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2019, "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 & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2019, "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, September.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2019, "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 1-28, June.
• Turuntseva Marina & Astafieva Ekaterina & Baeva Marina & Bozhechkova Alexandra & Buzaev A. & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton, 2019, "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, 2019, "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 & Bozhechkova Alexandra & Buzaev A. & Baeva Marina & Kiblitskaya Tatiana & Ponomarev Yuri & Skrobotov Anton & Astafieva Ekaterina, 2019, "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, August.
• Astafieva Ekaterina & Drobyshevsky Sergey & Idrisov Georgy & Kaukin Andrey & Zyamalov Vadim & Miller Evgenia & Pavlov Pavel & Sinelnikov-Murylev Sergey & Turuntseva Marina, 2019, "Approaches to Modeling Selected Macroeconomic Indicators," Research Paper Series, Gaidar Institute for Economic Policy, issue 179P, pages 307-307.
• Ana Margarida Monteiro & António Alberto Ferreira Santos, 2019, "Kernel density estimation using local cubic polynomials through option prices applied to intraday data," CeBER Working Papers, Centre for Business and Economics Research (CeBER), University of Coimbra, number 2019-02, Feb.
• Rachidi Kotchoni & Marine Carrasco, 2019, "The Continuum-GMM Estimation: Theory and Application," Post-Print, HAL, number hal-02435760.
• Dionisis Philippas & Hatem Rjiba & Khaled Guesmi & Stéphane Goutte, 2019, "Media attention and Bitcoin prices," Post-Print, HAL, number halshs-02148912, Sep, DOI: 10.1016/j.frl.2019.03.031.
• Qin, Ping & Zhang, Xiao-Bing & Xie, Lunyu, 2019, "Coal Taxation Reform in China and its Distributional Effect on Residential Consumers," EfD Discussion Paper, Environment for Development, University of Gothenburg, number 19-11, May.
• Mazur, Stepan & Otryakhin, Dmitry, 2019, "Linear Fractional Stable Motion with the RLFSM R Package," Working Papers, Örebro University, School of Business, number 2019:9, Nov.
• Gunawan, David & Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc, 2019, "Subsampling Sequential Monte Carlo for Static Bayesian Models," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 371, Apr.
• Dang, Khue-Dung & Quiroz, Matias & Kohn, Robert & Tran, Minh-Ngoc & Villani, Mattias, 2019, "Hamiltonian Monte Carlo with Energy Conserving Subsampling," Working Paper Series, Sveriges Riksbank (Central Bank of Sweden), number 372, Apr.
• Boris Sokolov, 2019, "Sensitivity Of Goodness Of Fit Indices To Lack Of Measurement Invariance With Categorical Indicators And Many Groups," HSE Working papers, National Research University Higher School of Economics, number WP BRP 86/SOC/2019.
• Mario Aceves Mejia & Rufina Georgina Hernandez Contreras & Luis Alejandro Louvier Hernandez & Jose Francisco Tenorio Martinez & Cesar Daniel Nolasco Perez, 2019, "Impulse-Response Relationship Between Economic Growth And Sectorial Stock Market Dynamic, Mexico 1998-2018 Relacion Impulso-Respuesta Entre Crecimiento Economico Y Dinamica Bursatil Sectorial, Mexico 1998-2018," Revista Internacional Administracion & Finanzas, The Institute for Business and Finance Research, volume 12, issue 1, pages 21-40.
• Yoichi Arai & Yu-Chin Hsu & Toru Kitagawa & Ismael Mourifié & Yuanyuan Wan, 2019, "Testing identifying assumptions in fuzzy regression discontinuity designs," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP10/19, Mar.
• Hiroaki Kaido & Francesca Molinari & Jorg Stoye, 2019, "Confi dence Intervals for Projections of Partially Identifi ed Parameters," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP26/19, Jun.
• Paulo Parente & Richard J. Smith, 2019, "Quasi-maximum likelihood and the kernel block bootstrap for nonlinear dynamic models," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP60/19, Oct.
• Maria Jouste & Pia Rattenhuber, 2019, "A Role for Universal Pension? Simulating Universal Pensions in Ecuador, Ghana, Tanzania and South Africa," International Journal of Microsimulation, International Microsimulation Association, volume 12, issue 1, pages 13-51.
• Sven Schreiber, 2019, "On (bootstrapped) cointegration tests in partial systems," IMK Working Paper, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute, number 199-2019.
• Araceli Matías González & María Teresa Verónica Martínez-Palacios & Ambrosio Ortiz-Ramírez, 2019, "Consumo e inversión óptimos y valuación de opciones asiáticas en un entorno estocástico con fundamentos microeconómicos y simulación Monte Carlo," 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 14, issue 3, pages 397-414, Julio - S.
• Hai-Anh H. Dang & Michael M. Lokshin & Kseniya Abanokova & Maurizio Bussolo, 2019, "Inequality and welfare dynamics in the Russian Federation during 1994-2015," Working Papers, ECINEQ, Society for the Study of Economic Inequality, number 484, Jan.
• Hai-Anh H. Dang, 2019, "To impute or not to impute, and how? A review of alternative poverty estimation methods in the context of unavailable consumption data," Working Papers, ECINEQ, Society for the Study of Economic Inequality, number 507, Sep.
• Dang, Hai-Anh H & Verme, Paolo, 2019, "Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?," IZA Discussion Papers, IZA Network @ LISER, number 12822, Dec.
• Clarke, Damian & Romano, Joseph P. & Wolf, Michael, 2019, "The Romano-Wolf Multiple Hypothesis Correction in Stata," IZA Discussion Papers, IZA Network @ LISER, number 12845, Dec.
• Christoph Strumann, 2019, "Hodges–Lehmann Estimation of Static Panel Models with Spatially Correlated Disturbances," Computational Economics, Springer;Society for Computational Economics, volume 53, issue 1, pages 141-168, January, DOI: 10.1007/s10614-017-9728-y.
• Alexander Konon & Alexander S. Kritikos, 2019, "Prediction based on entrepreneurship-prone personality profiles: sometimes worse than the toss of a coin," Small Business Economics, Springer, volume 53, issue 1, pages 1-20, June, DOI: 10.1007/s11187-018-0111-8.
• Juhász, Péter & Száz, János & Misik, Sándor, 2019, "Ellátási láncok versenyképessége és finanszírozása - gondolatok az optimumról
  [Competitiveness and finance of supply: thinking about the optimum]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 1, pages 53-71, DOI: 10.18414/KSZ.2019.1.53.
• Jessica Bracco, Leonardo Gasparini, Leopoldo Tornarolli, 2019, "Explorando los cambios de la pobreza en Argentina: 2003-2015," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, volume 65, pages 69-124, January-D.
• Kenkin Morales-González & William Manjarrés de Ávila & Sadan de la Cruz Almanza, 2019, "Assessing the Employment Public Service: its effects on formal labour insertion in the metropolitan area of Barranquilla, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 91, pages 211-239, Julio - D, DOI: 10.17533/udea.le.n91a07.
• Nusrat Fatema, 2019, "Women Empowerment or Gender Equality: Which One Should Come First for Augmenting Satisfaction and Performance of Female Employees: A study on the Ready-made Garment Sector of Bangladesh," International Journal of Business and Social Research, LAR Center Press, volume 9, issue 1, pages 08-21, January.
• Giancarlo MANZI & Ahmed Alsayed, 2019, "A Simulation Study for Monotonic Dependence in the Presence of Outliers," Departmental Working Papers, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano, number 2019-04, Mar.
• Milda Norkute & Vasilis Sarafidis & Takashi Yamagata & Guowei Cui, 2019, "Instrumental Variable Estimation of Dynamic Linear Panel Data Models with Defactored Regressors and a Multifactor Error Structure," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 32/19.
• Antoine Arnoud & Fatih Guvenen & Tatjana Kleineberg, 2019, "Benchmarking Global Optimizers," NBER Working Papers, National Bureau of Economic Research, Inc, number 26340, Oct.
• Susan Athey & Guido W. Imbens & Jonas Metzger & Evan M. Munro, 2019, "Using Wasserstein Generative Adversarial Networks for the Design of Monte Carlo Simulations," NBER Working Papers, National Bureau of Economic Research, Inc, number 26566, Dec.
• Kozyk Vasyl & Vorobets Stepan & Musiiovska Oksana, 2019, "Research of the place of Ukraine in implementation of the goals of the sustainable development model," Technology audit and production reserves, 3(47) 2019, Socionet;Technology audit and production reserves, volume 3, issue 4(47), pages 19-27.
• Can Tongur, 2019, "Inflation Measurement with Scanner Data and an Ever-Changing Fixed Basket," Economie et Statistique / Economics and Statistics, Institut National de la Statistique et des Etudes Economiques (INSEE), issue 509, pages 31-47, DOI: https://doi.org/10.24187/ecostat.20.
• Dimitar Dimitrov & Tsvetan Tsvetkov & Georgi Penchev & Konstantin Poudin, 2019, "Tobacco Products Contraband & Counterfeit Risk Identification," Godishnik na UNSS, University of National and World Economy, Sofia, Bulgaria, issue 1, pages 123-146, December.
• Clara De Luigi & Florian Huber & Josef Schreiner, 2019, "The impact of labor cost growth on inflation in selected CESEE countries," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q4/19, pages 56-78.
• Daniela Pordea & Dorel Mates, 2019, "DETERMINANTS OF ACCOUNTING CREATIVITY: EMPIRICAL ANALYSIS ON ROMANIAN SMEs IN CONSTRUCTION INDUSTRY," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, volume 4, issue Special, pages 7-18, May.
• Zheng Fang & Andres Santos, 2019, "Inference on Directionally Differentiable Functions," The Review of Economic Studies, Review of Economic Studies Ltd, volume 86, issue 1, pages 377-412.
• Dávila Aragón, Griselda & Ortiz Arango, Francisco, 2019, "Cálculo del Valor en Riesgo Operacional de una Empresa Aseguradora Mediante Redes Bayesianas || Calculation of Operational Value at Risk of an Insurance Company through Bayesian Networks," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 27, issue 1, pages 30-54, June.
• Boada, Antonio José & Mayorca, Rómulo, 2019, "Valoración estadística - financiera para medio plazo del sector bancario en países con economías emergentes. El caso de Colombia || Statistical - financial value for the medium term of the banking sector in countries with emerging economies. The case," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 28, issue 1, pages 95-112, December.
• Carlos A. Abanto-Valle & Hernán B. Garrafa-Aragón, 2019, "Threshold Stochastic Volatility Models with Heavy Tails:A Bayesian Approach," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, volume 42, issue 83, pages 32-53.
• Micha³ Bernard Pietrzak, 2019, "Modifiable Areal Unit Problem: the issue of determining the relationship between microparameters and a macroparameter," Oeconomia Copernicana, Institute of Economic Research, volume 10, issue 3, pages 393-417, September, DOI: 10.24136/oc.2019.019.
• Pihnastyi, Oleh & Kozhevnikov, Georgii & Bondarenko, Tetiana, 2019, "The information controlling model transport system during transient conditions," MPRA Paper, University Library of Munich, Germany, number 101908, Oct, revised 11 Oct 2019.
• Asaduzzaman, Md, 2019, "FDI as an Opportunity for Economic growth of Bangladesh: A VECM Analysis," MPRA Paper, University Library of Munich, Germany, number 110328, Dec, revised 05 Dec 2019.
• Mestiri, Sami, 2019, "How to use the R software," MPRA Paper, University Library of Munich, Germany, number 119428.
• MAO TAKONGMO, Charles Olivier, 2019, "Keynesian Models, Detrending, and the Method of Moments," MPRA Paper, University Library of Munich, Germany, number 91709.
• Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos & Touche, Nassim, 2019, "Integer-valued stochastic volatility," MPRA Paper, University Library of Munich, Germany, number 91962, Feb, revised 04 Feb 2019.
• Pihnastyi, Oleh, 2019, "Optimal Control of the Parameters of the Production Line," MPRA Paper, University Library of Munich, Germany, number 92495, Feb, revised 02 Feb 2019.
• Пигнастый, Олег & Koжевников, Георгий, 2019, "Распределенная Динамическая Pde-Модель Программного Управления Загрузкой Технологического Оборудования Производственной Линии
  [Distributed dynamic PDE-model of a program control by utilization of the technological equipment of production line]," MPRA Paper, University Library of Munich, Germany, number 93278, Feb, revised 02 Feb 2019.
• Mnasri, Ayman & Nechi, Salem, 2019, "New Approach to Estimating Gravity Models with Heteroscedasticity and Zero Trade Values," MPRA Paper, University Library of Munich, Germany, number 93426, Apr.
• Kounetas, Konstantinos & Polemis, Michael & Tzeremes, Nickolaos, 2019, "An alternative probabilistic frontier analysis to the measurement of eco-efficiency," MPRA Paper, University Library of Munich, Germany, number 93686, May.
• Shah, Syed Sibghatullah, 2019, "On Trust Dynamics of Economic Growth," MPRA Paper, University Library of Munich, Germany, number 94095, May, revised 30 May 2019.
• Pellecchia, Marco & Perciaccante, Giovambattista, 2019, "The calculation of Solvency Capital Requirement using Copulas," MPRA Paper, University Library of Munich, Germany, number 94213, May.
• Dmitriy, Skrypnik & Marina, Shakleina, 2019, "Counter sanctions and well-being population of Russia: econometric analyses," MPRA Paper, University Library of Munich, Germany, number 94478.
• Пигнастый, Олег & Koжевников, Георгий, 2019, "Дискретно-Событийная Модель Расчета Продолжительного Производственного Цикла Изготовления Партии Деталей
  [Discrete-Eventing Model Of Calculation Of The Duration Of The Production Cycle Of Manufacturing A Part Of Products]," MPRA Paper, University Library of Munich, Germany, number 94898, Jul, revised 02 Jul 2019.
• Pihnastyi, Oleh & Khodusov, Valery, 2019, "The optimal control problem for output material flow on a conveyor belt with input accumulating bunker," MPRA Paper, University Library of Munich, Germany, number 95928, Jan, revised 07 Jan 2019.
• Riveros Gavilanes, John Michael, 2019, "Low sample size and regression: A Monte Carlo approach," MPRA Paper, University Library of Munich, Germany, number 97017, Nov.
• Khodusov, Valery & Pihnastyi, Oleh, 2019, "The statement of the task of optimal control of the production line using the additional time of equipment operation," MPRA Paper, University Library of Munich, Germany, number 97076, Sep, revised 10 Sep 2019.
• Muratova, Anna & Islam, Robiul & Mitrofanova, Ekaterina S. & Ignatov, Dmitry I., 2019, "Searching for Interpretable Demographic Patterns," MPRA Paper, University Library of Munich, Germany, number 97305, Sep, revised 23 Sep 2019.
• Muteba Mwamba, John Weirstrass & Mhlophe, Bongani, 2019, "Modelling Asset Correlations of Revolving Loan Defaults in South Africa," MPRA Paper, University Library of Munich, Germany, number 97340, Aug.
• Jan Hrevuš & Luboš Marek, 2019, "Exposure Modelling in Property Reinsurance," Prague Economic Papers, Prague University of Economics and Business, volume 2019, issue 2, pages 129-154, DOI: 10.18267/j.pep.683.
• Manveer Kaur Mangat & Erhard Reschenhofer, 2019, "Testing for Long-Range Dependence in Financial Time Series," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, volume 11, issue 2, pages 93-106, June.
• James G. MacKinnon & Morten Ø. Nielsen & Matthew D. Webb, 2019, "Wild Bootstrap and Asymptotic Inference with Multiway Clustering," Working Paper, Economics Department, Queen's University, number 1415, Mar.
• James G. MacKinnon & Matthew D. Webb, 2020, "When and How to Deal with Clustered Errors in Regression Models," Working Paper, Economics Department, Queen's University, number 1421, May.
• Alejandro Mosino & Laura Andrea Salomon-Nunez & Alejandro Tatsuo Moreno-Okuno, 2019, "Estudio empirico sobre el tipo de cambio MXN/USD movimiento browniano geometrico versus proceso varianza-gamma," EconoQuantum, Revista de Economia y Finanzas, Universidad de Guadalajara, Centro Universitario de Ciencias Economico Administrativas, Departamento de Metodos Cuantitativos y Maestria en Economia., volume 16, issue 1, pages 33-56, Enero-Jun.
• Naoyuki Yoshino & Prachi Gupta, 2019, "How to Avoid Household Debt Overhang? An Analytical Framework and Analysis for India," ADBI Working Papers, Asian Development Bank Institute, number 975, Jul.
• Hojin Lee, 2019, "Data-Mining Bootstrap Procedure with Potential Predictors in Forecasting Models: Evidence from Eight Countries in the Asia-Pacific Stock Markets," East Asian Economic Review, Korea Institute for International Economic Policy, volume 23, issue 4, pages 333-351, DOI: 10.11644/KIEP.EAER.2019.23.4.366.
• Mohammad Jalal Goldoost & Seyed Abbas Najafizadeh & Seyed Fakhreddin fakhrhosseini & Ahamad Sarlak, 2019, "Resilience of macroeconomic variables of the Iranian economy against monetary policy shock based on the DSGE mode," Quarterly Journal of Applied Theories of Economics, Faculty of Economics, Management and Business, University of Tabriz, volume 6, issue 2, pages 1-28.
• Yuhong Xu & Zhenlin Yang, 2019, "Specification Tests for Temporal Heterogeneity in Spatial Panel Models with Fixed Effects," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 5-2019, Jan.
• Katsuto Tanaka & Weilin Xiao & Jun Yu, 2019, "Maximum Likelihood Estimation for the Fractional Vasicek Model," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 8-2019, Mar.
• Xiaohu Wang & Weilin Xiao & Jun Yu, 2019, "Estimation and Inference of Fractional Continuous-Time Model with Discrete-Sampled Data," Economics and Statistics Working Papers, Singapore Management University, School of Economics, number 17-2019, Sep.
• Martijn van Hasselt & Christopher Bollinger & Jeremy Bray, 2019, "A Bayesian Approach to Account for Misclassification in Prevalence and Trend Estimation," UNCG Economics Working Papers, University of North Carolina at Greensboro, Department of Economics, number 19-13, Oct.
• Federico Belotti & Giuseppe Ilardi & Andrea Piano Mortari, 2019, "Estimation of Stochastic Frontier Panel Data Models with Spatial Inefficiency," CEIS Research Paper, Tor Vergata University, CEIS, number 459, May, revised 30 May 2019.
• Franco Peracchi & Claudio Rossetti, 2019, "A Nonlinear Dynamic Factor Model of Health and Medical Treatment," CSEF Working Papers, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, number 524, Feb.
• Sandra Obiora & Yong Zeng, 2019, "Factors Affecting the Adoption of Alternative Financing Methods for Startups by Africans in China," Proceedings of International Academic Conferences, International Institute of Social and Economic Sciences, number 9010883, Jun.
• Ali Bendob & Naima Bentouir, 2019, "Options Pricing by Monte Carlo Simulation, Binomial Tree and BMS Model: a comparative study of Nifty50 options index," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, volume 1, issue 11, pages 79-95, January.
• Charles-Olivier Amédée-Manesme & Fabrice Barthélémy & Didier Maillard, 2019, "Computation of the corrected Cornish–Fisher expansion using the response surface methodology: application to VaR and CVaR," Annals of Operations Research, Springer, volume 281, issue 1, pages 423-453, October, DOI: 10.1007/s10479-018-2792-4.
• Thorsten Lehnert, 2019, "Big moves of mutual funds," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, volume 9, issue 1, pages 1-27, March, DOI: 10.1007/s40822-018-0104-6.
• Christina C. Bartenschlager & Jens O. Brunner, 2019, "Reaching for the stars: attention to multiple testing problems and method recommendations using simulation for business research," Journal of Business Economics, Springer, volume 89, issue 4, pages 447-479, June, DOI: 10.1007/s11573-018-0919-3.
• Abdelkader Derbali & Lamia Jamel, 2019, "Dependence of Default Probability and Recovery Rate in Structural Credit Risk Models: Case of Greek Banks," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), volume 10, issue 2, pages 711-733, June, DOI: 10.1007/s13132-017-0473-1.
• Nisar Ahmad & Michael Svarer & Amjad Naveed, 2019, "The Effect of Active Labour Market Programmes and Benefit Sanctions on Reducing Unemployment Duration," Journal of Labor Research, Springer, volume 40, issue 2, pages 202-229, June, DOI: 10.1007/s12122-019-09288-x.
• Lisa Crosato & Luigi Grossi, 2019, "Correcting outliers in GARCH models: a weighted forward approach," Statistical Papers, Springer, volume 60, issue 6, pages 1939-1970, December, DOI: 10.1007/s00362-017-0903-y.
• Sayabek Ziyadin & Nataliya Shash & Tatyana Levchenko & Saltanat Khudaibergenova & Gulmira Yessenova, 2019, "Modeling of resultant effects in assessment of innovative activity of the hotel organizations," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, volume 6, issue 4, pages 2180-2193, June, DOI: 10.9770/jesi.2019.6.4(43).
• Irina Maslova & Boris Maslov & Irina Korostelkina & Liudmila Popova, 2019, "Model of statistical economic profile of innovative biomedical product value formation and update," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, volume 7, issue 1, pages 471-483, September, DOI: 10.9770/jesi.2019.7.1(33).
• Yamin Ahmad & Ming Chien Lo & Olena Staveley-O’Carroll, 2019, "Nonlinearities in the real exchange rates: new evidence from developed and developing countries," Applied Economics, Taylor & Francis Journals, volume 51, issue 25, pages 2731-2743, May, DOI: 10.1080/00036846.2018.1558354.
• Firat Bilgel & Burhan Can Karahasan, 2019, "Thirty Years of Conflict and Economic Growth in Turkey: A Synthetic Control Approach," Defence and Peace Economics, Taylor & Francis Journals, volume 30, issue 5, pages 609-631, July, DOI: 10.1080/10242694.2017.1389582.
• Zacharias Psaradakis & Marián Vávra, 2019, "Portmanteau tests for linearity of stationary time series," Econometric Reviews, Taylor & Francis Journals, volume 38, issue 2, pages 248-262, February, DOI: 10.1080/07474938.2016.1261015.
• Sven Schreiber, 2019, "The estimation uncertainty of permanent-transitory decompositions in co-integrated systems," Econometric Reviews, Taylor & Francis Journals, volume 38, issue 3, pages 279-300, March, DOI: 10.1080/07474938.2016.1235257.
• Andrés Ramírez Hassan & Santiago Montoya Blandón, 2019, "Welfare gains of the poor: An endogenous Bayesian approach with spatial random effects," Econometric Reviews, Taylor & Francis Journals, volume 38, issue 3, pages 301-318, March, DOI: 10.1080/07474938.2016.1261062.
• Arnaud Dufays & Jeroen V. K. Rombouts, 2019, "Sparse Change-point HAR Models for Realized Variance," Econometric Reviews, Taylor & Francis Journals, volume 38, issue 8, pages 857-880, September, DOI: 10.1080/07474938.2018.1454366.
• Stephan Smeekes & Joakim Westerlund, 2019, "Robust block bootstrap panel predictability tests," Econometric Reviews, Taylor & Francis Journals, volume 38, issue 9, pages 1089-1107, October, DOI: 10.1080/07474938.2018.1536102.
• Matias Quiroz & Robert Kohn & Mattias Villani & Minh-Ngoc Tran, 2019, "Speeding Up MCMC by Efficient Data Subsampling," Journal of the American Statistical Association, Taylor & Francis Journals, volume 114, issue 526, pages 831-843, April, DOI: 10.1080/01621459.2018.1448827.
• Tingting Cheng & Jiti Gao & Xibin Zhang, 2019, "Bayesian Bandwidth Estimation in Nonparametric Time-Varying Coefficient Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 37, issue 1, pages 1-12, January, DOI: 10.1080/07350015.2016.1255216.
• M. Bee & J. Hambuckers & L. Trapin, 2019, "Estimating Value-at-Risk for the g-and-h distribution: an indirect inference approach," Quantitative Finance, Taylor & Francis Journals, volume 19, issue 8, pages 1255-1266, August, DOI: 10.1080/14697688.2019.1580762.
• Francisco (F.) Blasques & Marc Nientker, 2019, "Transformed Perturbation Solutions for Dynamic Stochastic General Equilibrium Models," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 19-012/III, Feb, revised 09 Feb 2020.
• Roberto Casarin & Stefano Grassi & Francesco Ravazzollo & Herman K. van Dijk, 2019, "Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 19-025/III, Apr.
• Kleijnen, Jack & van Beers, W.C.M., 2019, "Statistical Tests for Cross-Validation of Kriging Models," Discussion Paper, Tilburg University, Center for Economic Research, number 2019-022.
• Martin Burda & Louis Belisle, 2019, "Copula Multivariate GARCH Model with Constrained Hamiltonian Monte Carlo," Working Papers, University of Toronto, Department of Economics, number tecipa-638, Apr.
• Marco Bee & Julien Hambuckers & Luca Trapin, 2019, "An improved approach for estimating large losses in insurance analytics and operational risk using the g-and-h distribution," DEM Working Papers, Department of Economics and Management, number 2019/11.
• David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019, "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LLC, volume 19, issue 1, pages 4-60, March, DOI: 10.1177/1536867X19830877.
• Sylvain Barde, 2019, "Macroeconomic simulation comparison with a multivariate extension of the Markov Information Criterion," Studies in Economics, School of Economics, University of Kent, number 1908, Jun.
• Eckhard Platen & Renata Rendek, 2019, "Dynamics of a Well-Diversified Equity Index," Research Paper Series, Quantitative Finance Research Centre, University of Technology, Sydney, number 398, Jan.
• Kylie-Anne Richards & William T. M. Dunsmuir & Gareth W. Peters, 2019, "Score Test for Marks in Hawkes Processes," Research Paper Series, Quantitative Finance Research Centre, University of Technology, Sydney, number 405, May.
• Maria Kyriacou & Peter C.B. Phillips & Francesca Rossi, 2019, "Continuously Updated Indirect Inference in Heteroskedastic Spatial Models," Working Papers, University of Verona, Department of Economics, number 15/2019, Oct.
• Gričar Sergej & Baldigara Tea, 2019, "An explorative study of tourism time series: Evidence from Slovenia and Croatia," Croatian Review of Economic, Business and Social Statistics, Sciendo, volume 5, issue 2, pages 101-116, December, DOI: 10.2478/crebss-2019-0015.
• Berezka Kateryna & Kovalchuk Olha, 2019, "Modelling Factors Connected with the Effect of International Migration for Security and Economy," Econometrics. Advances in Applied Data Analysis, Sciendo, volume 23, issue 4, pages 30-42, December, DOI: 10.15611/eada.2019.4.03.
• Mościbrodzka Monika & Homa Magdalena, 2019, "The efficiency of an investing in investment funds in the context of a longevity," Journal of Economics and Management, Sciendo, volume 38, issue 4, pages 107-128, December, DOI: 10.22367/jem.2019.38.06.
• Barańska Anna, 2019, "Linear and Nonlinear Weighing of Property Features," Real Estate Management and Valuation, Sciendo, volume 27, issue 1, pages 59-68, March, DOI: 10.2478/remav-2019-0006.
• Maryna Zenkova & Robert Ślepaczuk, 2019, "Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2019-02.
• Michał Latoszek & Robert Ślepaczuk, 2019, "Does the inclusion of exposure to volatility into diversified portfolio improve the investment results? Portfolio construction from the perspective of a Polish investor," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2019-14.
• Kamil Korzeń & Robert Ślepaczuk, 2019, "Hybrid Investment Strategy Based on Momentum and Macroeconomic Approach," Working Papers, Faculty of Economic Sciences, University of Warsaw, number 2019-17.
• Rodriguez Castelan,Carlos & Araar,Abdelkrim & Malasquez Carbonel,Eduardo Alonso & Olivieri,Sergio Daniel & Vishwanath,Tara, 2019, "Distributional Effects of Competition : A Simulation Approach," Policy Research Working Paper Series, The World Bank, number 8838, May.
• Dang,Hai-Anh H. & Verme,Paolo, 2019, "Estimating Poverty for Refugee Populations : Can Cross-Survey Imputation Methods Substitute for Data Scarcity ?," Policy Research Working Paper Series, The World Bank, number 9076, Dec.
• Elisabeth Christen & Michael Pfaffermayr & Yvonne Wolfmayr, 2019, "Trade Costs in Services. Firm Survival, Firm Growth and Implied Changes in Employment," WIFO Working Papers, WIFO, number 593, Dec.
• James G. MacKinnon, 2019, "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, volume 52, issue 3, pages 851-881, August, DOI: 10.1111/caje.12388.
• Hiroaki Kaido & Francesca Molinari & Jörg Stoye, 2019, "Confidence Intervals for Projections of Partially Identified Parameters," Econometrica, Econometric Society, volume 87, issue 4, pages 1397-1432, July, DOI: 10.3982/ECTA14075.
• Sebastian Kripfganz & Claudia Schwarz, 2019, "Estimation of linear dynamic panel data models with time‐invariant regressors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., volume 34, issue 4, pages 526-546, June, DOI: 10.1002/jae.2681.
• Konon, Alexander & Kritikos, Alexander S., 2019, "Prediction based on entrepreneurship-prone personality profiles: sometimes worse than the toss of a coin," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, volume 53, issue 1, pages 1-20.
• Dang, Hai-Anh H. & Lokshin, Michael M. & Abanokova, Kseniya & Bussolo, Maurizio, 2019, "Inequality and Welfare Dynamics in the Russian Federation during 1994-2015," GLO Discussion Paper Series, Global Labor Organization (GLO), number 297.
• Dang, Hai-Anh H. & Verme, Paolo, 2019, "Estimating Poverty for Refugee Populations: Can Cross-Survey Imputation Methods Substitute for Data Scarcity?," GLO Discussion Paper Series, Global Labor Organization (GLO), number 429.
• Moundigbaye, Mantobaye & Messemer, Clarisse & Parks, Richard W. & Reed, W. Robert, 2019, "Bootstrap methods for inference in the Parks model," Economics Discussion Papers, Kiel Institute for the World Economy, number 2019-39.
• Chen, Siyan & Desiderio, Saul, 2019, "Job duration and inequality," Economics Discussion Papers, Kiel Institute for the World Economy, number 2019-44.
• Hong, Sanghyun, 2019, "Meta-analysis and publication bias: How well does the FAT-PET-PEESE procedure work? A replication study of Alinaghi & Reed (Research Synthesis Methods, 2018)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, volume 3, pages 1-22, DOI: 10.18718/81781.13.
• Reed, W. Robert, 2019, "Meta-analysis and publication bias: How well does the FAT-PET-PEESE procedure work? A reply to Hong (International Journal for Re-Views in Empirical Economics, 2019)," International Journal for Re-Views in Empirical Economics (IREE), ZBW - Leibniz Information Centre for Economics, volume 3, pages 1-4, DOI: 10.18718/81781.14.
• Döhrn, Roland, 2019, "Comparing forecast accuracy in small samples," Ruhr Economic Papers, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen, number 833, DOI: 10.4419/86788966.
• Finkler, Sebastian, 2019, "Old-age poverty: The household perspective : a microsimulation approach of pension entitlements in Germany," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy, Verein für Socialpolitik / German Economic Association, number 203518.
• Monschang, Verena & Wilfling, Bernd, 2019, "Sup-ADF-style bubble detection methods under test," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy, Verein für Socialpolitik / German Economic Association, number 203568.
• Ettmeier, Stephanie & Kriwoluzky, Alexander, 2019, "Active, or passive? Revisiting the role of fiscal policy in the Great Inflation," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy, Verein für Socialpolitik / German Economic Association, number 203609.

2018

• Amadeo Fuenmayor & Rafael Granell & Mauro Mediavilla, 2018, "The effects of separate taxation on labor participation of married couples. An empirical analysis using propensity score," Review of Economics of the Household, Springer, volume 16, issue 2, pages 541-561, June, DOI: 10.1007/s11150-016-9345-x.
• Elena Bugudui & Ghenadie Ciobanu, 2018, "The Development of the Digital Economy in the Context of Regional Development in Romania," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, volume 4, issue 1, pages 213-220, March.
• Boros, Péter, 2018, "A hitelértékelési kiigazítás tőketartalékolásának új szabályozása
  [New regulation of the Credit Valuation Adjustment for capital reserves]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 2, pages 161-184, DOI: 10.18414/KSZ.2018.2.161.
• Nusrat Fatema, 2018, "Stimulation of Efficient Employee Performance through Human Resource Management Practices: A Study on the Health Care Sector of Bangladesh," International Journal of Business and Social Research, LAR Center Press, volume 8, issue 1, pages 1-18, January.
• Daniel Grabowski & Anna Staszewska-Bystrova & Peter Winker, 2018, "Skewness-Adjusted Bootstrap Confidence Intervals and Confidence Bands for Impulse Response Functions," MAGKS Papers on Economics, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung), number 201810.
• Francesco Caloia & Andrea Cipollini & Silvia Muzzioli, 2018, "On the financial connectedness of the commodity market: a replication of the Diebold and Yilmaz (2012) study," Department of Economics, University of Modena and Reggio E., Faculty of Economics "Marco Biagi", number 0131, Sep.
• Taro Ohno & Takahiro Kodama & Ryutaro Matsumoto, 2018, "Decomposition Approach on Changes in Redistributive Effects of Taxes and Social Insurance Premiums," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, volume 14, issue 4, pages 777-802, July.
• Jørgen Vitting Andersen & Philippe de Peretti, 2018, "New method to detect convergence in simple multi-period market games with infinite large strategy spaces," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 18038, Dec.
• Joshua Chan & Arnaud Doucet & Roberto Leon-Gonzalez & Rodney W. Strachan, 2018, "Multivariate Stochastic Volatility with Co-Heteroscedasticity," GRIPS Discussion Papers, National Graduate Institute for Policy Studies, number 18-12, Oct.