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

• 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.
• 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.