Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ C: Mathematical and Quantitative Methods
/ / C1: Econometric and Statistical Methods and Methodology: General
/ / / C14: Semiparametric and Nonparametric Methods: General

2020

• José Francisco Martínez-Sánchez & Salvador Cruz-García & Francisco Venegas-Martínez, 2020, "Money laundering control in Mexico," Journal of Money Laundering Control, Emerald Group Publishing Limited, volume 23, issue 2, pages 427-439, March, DOI: 10.1108/JMLC-10-2019-0083.
• Francesco Andreoli & Arnaud Lefranc & Vincenzo Prete, 2020, "Rising Educational Attainment and Opportunity Equalization: Evidence from France," Research on Economic Inequality, Emerald Group Publishing Limited, "Inequality, Redistribution and Mobility", DOI: 10.1108/S1049-258520200000028005.
• Panayiotis G. Curtis & Michael Hanias & Eleftherios Kourtis & Mixalis Kourtis, 2020, "Data Envelopment Analysis (DEA) and Financial Ratios: Α Pro-Stakeholders’ View of Performance Measurement for Sustainable Value Creation of the Wind Energy," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), volume 0, issue 2, pages 326-350.
• Quoc Viet Pham & Tran Quang Phuc Pham, 2020, "Does Trade Credit Spur Firm Performance? A Case Study in Vietnam," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), volume 0, issue 3, pages 215-227.
• Sebastian Gnat & Mariusz Doszyn, 2020, "Parametric and Non-parametric Methods in Mass Appraisal on Poorly Developed Real Estate Markets," European Research Studies Journal, European Research Studies Journal, volume 0, issue 4, pages 1230-1245.
• Malgorzata Porada - Rochon, 2020, "The Length of Financial Cycle and its Impact on Business Cycle in Poland," European Research Studies Journal, European Research Studies Journal, volume 0, issue 4, pages 1278-1290.
• Bart Capéau & Liebrecht De Sadeleer & Sebastiaan Maes & André Decoster, 2020, "Nonparametric welfare analysis for discrete choice: levels and differences of individual and social welfare," Working Papers of Department of Economics, Leuven, KU Leuven, Faculty of Economics and Business (FEB), Department of Economics, Leuven, number 674666.
• Alessandra Cepparulo & Gilles Mourre, 2020, "How and How Much? The Growth-Friendliness of Public Spending through the Lens," European Economy - Discussion Papers, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, number 132, Oct.
• Jarko Fidrmuc & Svatopluk Kapounek & Frederik Junge, 2020, "Cryptocurrency Market Efficiency: Evidence from Wavelet Analysis," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 70, issue 2, pages 121-144, August.
• Ichiro Iwasaki & Evzen Kocenda & Yoshisada Shida, 2020, "Institutions, Financial Development, and Small Business Survival: Evidence from European Emerging Markets," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2020/39, Oct, revised Oct 2020.
• George J. Jiang & Guanzhong Pan, 2020, "Analysis of High Frequency Data in Finance: A Survey," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, volume 15, issue 2, pages 141-166, June.
• Xin Jin, 2020, "A Bayesian Nonparametric Investigation of the Predictive Effect of Exchange Rates on Commodity Prices," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, volume 15, issue 2, pages 179-210, June.
• Lukas Hoesch & Barbara Rossi & Tatevik Sekhposyan, 2020, "Has the Information Channel of Monetary Policy Disappeared? Revisiting the Empirical Evidence," Working Paper Series, Federal Reserve Bank of San Francisco, number 2020-08, Feb, DOI: 10.24148/wp2020-08.
• David A. Benson & Matthew A. Masten & Alexander Torgovitsky, 2020, "ivcrc: An Instrumental Variables Estimator for the Correlated Random Coefficients Model," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-046r1, Jun, revised 04 Apr 2022, DOI: 10.17016/FEDS.2020.046r1.
• Hie Joo Ahn & Yun Liu & Yeonwoo Rho, 2020, "Revealing Cluster Structures Based on Mixed Sampling Frequencies," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-082, Sep, DOI: 10.17016/FEDS.2020.082.
• Michal Krawczyk & Joanna Tyrowicz & Wojciech Hardy, 2020, "Friends or foes? A meta-analysis of the link between "online piracy" and sales of cultural goods," GRAPE Working Papers, GRAPE Group for Research in Applied Economics, number 45.
• Emil Heesche & Mette Asmild, 2020, "Controlling for environmental conditions in regulatory benchmarking," IFRO Working Paper, University of Copenhagen, Department of Food and Resource Economics, number 2020/03, Mar.
• Emil Heesche & Mette Asmild, 2020, "Incorporating quality in economic regulatory benchmarking," IFRO Working Paper, University of Copenhagen, Department of Food and Resource Economics, number 2020/13, Nov.
• Marcin J. Piątkowski, 2020, "Results of SME Investment Activities: A Comparative Analysis among Enterprises Using and Not Using EU Subsidies in Poland," Administrative Sciences, MDPI, volume 10, issue 1, pages 1-26, January.
• Fabian Y.R.P. Bocart & Eric Ghysels & Christian M. Hafner, 2020, "Monthly Art Market Returns," JRFM, MDPI, volume 13, issue 5, pages 1-22, May.
• João F. Caldeira & Rangan Gupta & Hudson S. Torrent, 2020, "Forecasting U.S. Aggregate Stock Market Excess Return: Do Functional Data Analysis Add Economic Value?," Mathematics, MDPI, volume 8, issue 11, pages 1-16, November.
• Arvanitis, Stelios & Scaillet, Olivier & Topaloglou, Nikolas, 2020, "Spanning analysis of stock market anomalies under prospect stochastic dominance," Working Papers, University of Geneva, Geneva School of Economics and Management, number unige:134101.
• Ioannis Kyriakou & Parastoo Mousavi & Jens Perch Nielsen & Michael Scholz, 2020, "Short-Term Exuberance and long-term stability: A simultaneous optimization of stock return predictions for short and long horizons," Graz Economics Papers, University of Graz, Department of Economics, number 2020-20, Dec.
• Pedro Albuquerque, 2020, "Optimal Time Interval Selection in Long-Run Correlation Estimation," Post-Print, HAL, number hal-02482675, Mar, DOI: 10.1007/s40953-019-00175-x.
• Caio Almeida & Kim Ardison & René Garcia, 2020, "Nonparametric Assessment of Hedge Fund Performance," Post-Print, HAL, number hal-02550789, Feb, DOI: 10.1016/j.jeconom.2019.08.002.
• Abdelaati Daouia & Jean-Pierre Florens & Léopold Simar, 2020, "Robust frontier estimation from noisy data: a Tikhonov regularization approach," Post-Print, HAL, number hal-02573853, Apr, DOI: 10.1016/j.ecosta.2018.07.003.
• Dr. Prof. Jan Johannes & Dr. Anna Simoni & Dr. Schenk, 2020, "Adaptive Bayesian Estimation in Indirect Gaussian Sequence Space Models," Post-Print, HAL, number hal-02903256, DOI: 10.15609/annaeconstat2009.137.0083.
• Sébastien Laurent & Shuping Shi, 2020, "Volatility estimation and jump detection for drift–diffusion processes," Post-Print, HAL, number hal-02909690, Aug, DOI: 10.1016/j.jeconom.2019.12.004.
• Francesco Andreoli & Arnaud Lefranc & Vincenzo Prete, 2020, "Rising Educational Attainment and Opportunity Equalization: Evidence from France," Post-Print, HAL, number hal-03677674, Nov, DOI: 10.1108/S1049-258520200000028005.
• Łukasz Brzezicki, 2020, "The Efficiency of Public and Private Higher Education Institutions in Poland," Post-Print, HAL, number hal-04392029, Dec, DOI: 10.33119/gn/128218.
• Gerard Berg & Antoine Bozio & Mónica Costa Dias, 2020, "Policy discontinuity and duration outcomes," Post-Print, HAL, number halshs-02973655, Jul, DOI: 10.3982/QE639.
• Gerard Berg & Antoine Bozio & Mónica Costa Dias, 2020, "Policy discontinuity and duration outcomes," PSE-Ecole d'économie de Paris (Postprint), HAL, number halshs-02973655, Jul, DOI: 10.3982/QE639.
• Andrii Babii & Jean-Pierre Florens, 2020, "Are unobservables separable?," Working Papers, HAL, number hal-02532383, Apr.
• Stöver, Britta & Sibbertsen, Philipp, 2020, "The similarities in efficiency of universities and universities of applied sciences in Lower Saxony," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp-673, Jun.
• Stöver, Britta, 2020, "Gleich oder nicht gleich - Unterschiede und Gemeinsamkeiten von Fachhochschulen und Universitäten," Hannover Economic Papers (HEP), Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät, number dp_674, Jun.
• Olga Takács & János Vincze, 2020, "The gender-dependent structure of wages in Hungary: results using machine learning techniques," KRTK-KTI WORKING PAPERS, Institute of Economics, Centre for Economic and Regional Studies, number 2044, Nov.
• Zetterqvist, Johan & Waernbaum, Ingeborg, 2020, "Semi-parametric estimation of multi-valued treatment effects for the treated:estimating equations and sandwich estimators," Working Paper Series, IFAU - Institute for Evaluation of Labour Market and Education Policy, number 2020:4, Mar.
• 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.
• Hjertstrand, Per & Swofford, James L. & Whitney, Gerald A., 2020, "Testing for Weak Separability and Utility Maximization with Incomplete Adjustment," Working Paper Series, Research Institute of Industrial Economics, number 1327, Mar, revised 30 May 2023.
• Lafférs, Lukáš & Mellace, Giovanni, 2020, "Identification of the average treatment effect when SUTVA is violated," Discussion Papers on Economics, University of Southern Denmark, Department of Economics, number 3/2020, Mar.
• Vesterberg, Mattias & Zhou, Wenchao & Lundgren, Tommy, 2020, "Wind of change: Small-scale electricity production and distribution grid efficiency in Sweden," CERE Working Papers, CERE - the Center for Environmental and Resource Economics, number 2020:4, Apr.
• Fabian Lange & Theodore Papageorgiou, 2020, "Beyond Cobb-Douglas: Flexibly Estimating Matching Functions with Unobserved Matching Efficiency," Working Papers, Human Capital and Economic Opportunity Working Group, number 2020-025, Apr.
• Ifigeneia-Dimitra POUGKAKIOTI & Constantinos TSAMADIAS, 2020, "Measuring The Efficiency And Productivity Change Of Municipalities:Empirical Evidence From Greek Municipalities Over The Time Period 2013-2016," Regional Science Inquiry, Hellenic Association of Regional Scientists, volume 0, issue 1, pages 55-74, June.
• Brüggmann, Daniel, 2020, "Women’s employment, income and divorce in West Germany: a causal approach," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], volume 54, issue , pages 1-005, DOI: 10.1186/s12651-020-00270-0.
• Lina Nugraha Rani & Salina Kassim, 2020, "Comparing The Intertemporal Efficiency Of Islamic Banks In Indonesia And Malaysia," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, volume 6, issue 4, pages 861-894, November, DOI: https://doi.org/10.21098/jimf.v6i4..
• Magne Mogstad & Joseph P. Romano & Daniel Wilhelm & Azeem M. Shaikh, 2020, "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP10/20, Mar.
• Manuel Arellano & Stéphane Bonhomme, 2020, "Recovering Latent Variables by Matching," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP2/20, Jan.
• Charles F. Manski & Francesca Molinari, 2020, "Estimating the COVID-19 Infection Rate: Anatomy of an Inference Problem," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP20/20, May.
• Irene Botosaru & Chris Muris & Krishna Pendakur, 2020, "Intertemporal Collective Household Models: Identification in Short Panels with Unobserved Heterogeneity in Resource Shares," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP26/20, Jun.
• Bryan S. Graham & Geert Ridder & Petra Thiemann & Gema Zamarro, 2020, "Teacher-to-classroom assignment and student achievement," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP36/20, Jul.
• Carmen Borrego-Salcido & Raymundo Juárez-Del-Toro & Salvador Cruz.Aké, 2020, "Linear and nonlinear causality between marriages, births, and economic growth," 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 37-55, Enero - M.
• Ilaria Piatti & Fabio Trojani, 2020, "Dividend Growth Predictability and the Price–Dividend Ratio," Management Science, INFORMS, volume 66, issue 1, pages 130-158, January, DOI: 10.1287/mnsc.2018.3155.
• Nora Lustig, 2020, "The ``missing rich'' in household surveys: causes and correction approaches," Working Papers, ECINEQ, Society for the Study of Economic Inequality, number 520, Feb.
• Laura Liu, 2020, "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," CAEPR Working Papers, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, number 2020-003, Mar.
• Suleyman Serdengeçti & Ahmet Sensoy & Duc Khuong Nguyen, 2020, "Dynamics of Return and Liquidity (Co)Jumps in Emerging Foreign Exchange Markets," Working Papers, Department of Research, Ipag Business School, number 2020-006, Jan.
• Calogero Guccio & Marco Ferdinando Martorana & Isidoro Mazza & Giacomo Pignataro & Ilde Rizzo, 2020, "Is innovation in ICT valuable for the efficiency of Italian museums?," Working papers, Società Italiana di Economia Pubblica, number 95, Sep.
• Oscar Claveria, 2020, "Evolution of business and consumer uncertainty in the midst of the COVID-19 pandemic. A sector analysis in 32 European countries," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202012, Sep, revised Sep 2020.
• António Afonso & João Tovar Jalles & Ana Venâncio, 2020, "Structural Tax Reforms and Public Spending Efficiency," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2020/0146, Nov.
• António Afonso & João Tovar Jalles & Ana Venâncio, 2020, "GovernmentSpending Efficiency, MeasurementandApplications:a Cross-country Efficiency Dataset," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2020/0147, Nov.
• Bartalotti, Otávio & Brummet, Quentin & Dieterle, Steven, 2020, "A Correction for Regression Discontinuity Designs With Group-Specific Mismeasurement of the Running Variable," ISU General Staff Papers, Iowa State University, Department of Economics, number 202004020700001701, Apr.
• He, Yang & Bartalotti, Otávio, 2020, "Wild bootstrap for fuzzy regression discontinuity designs: obtaining robust bias-corrected confidence intervals," ISU General Staff Papers, Iowa State University, Department of Economics, number 202005010700001071, May.
• Fernández-Val, Iván & Peracchi, Franco & van Vuuren, Aico & Vella, Francis, 2020, "Hours Worked and the U.S. Distribution of Real Annual Earnings 1976–2016," IZA Discussion Papers, IZA Network @ LISER, number 13016, Feb.
• Liu, Ding & Millimet, Daniel L., 2020, "Bounding the Joint Distribution of Disability and Employment with Contaminated Data," IZA Discussion Papers, IZA Network @ LISER, number 13020, Feb.
• Beltempo, Marc & Bresson, Georges & Etienne, Jean-Michel & Lacroix, Guy, 2020, "Infections, Accidents and Nursing Overtime in a Neonatal Intensive Care Unit: A Bayesian Semiparametric Panel Data Logit Model," IZA Discussion Papers, IZA Network @ LISER, number 13046, Mar.
• Beltempo, Marc & Bresson, Georges & Lacroix, Guy, 2020, "Using Machine Learning to Predict Nosocomial Infections and Medical Accidents in a NICU," IZA Discussion Papers, IZA Network @ LISER, number 13099, Mar.
• Firpo, Sergio & Galvao, Antonio F. & Kobus, Martyna & Parker, Thomas & Rosa-Dias, Pedro, 2020, "Loss Aversion and the Welfare Ranking of Policy Interventions," IZA Discussion Papers, IZA Network @ LISER, number 13176, Apr.
• Tommasi, Denni & Zhang, Lina, 2020, "Bounding Program Benefits When Participation Is Misreported," IZA Discussion Papers, IZA Network @ LISER, number 13430, Jun.
• Biewen, Martin & Kugler, Philipp, 2020, "Two-Stage Least Squares Random Forests with an Application to Angrist and Evans (1998)," IZA Discussion Papers, IZA Network @ LISER, number 13613, Aug.
• Khan, Shakeeb & Maurel, Arnaud & Zhang, Yichong, 2020, "Informational Content of Factor Structures in Simultaneous Binary Response Models," IZA Discussion Papers, IZA Network @ LISER, number 14008, Dec.
• Minzhi Wu & Emili Tortosa-Ausina, 2020, "Bank Diversification and Focus in Disruptive Times: China, 2007–2018," Working Papers, Economics Department, Universitat Jaume I, Castellón (Spain), number 2020/21.
• Shengfang Tang & Zongwu Cai & Ying Fang & Ming Lin, 2020, "A New Quantile Treatment Effect Model for Studying Smoking Effect on Birth Weight During Mother's Pregnancy," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202003, Feb, revised Feb 2020.
• Zongwu Cai & Ying Fang & Ming Lin & Shengfang Tang, 2020, "Inferences for Partially Conditional Quantile Treatment Effect Model," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202005, Feb, revised Feb 2020.
• Zongwu Cai & Ying Fang & Qiuhua Xu, 2020, "Testing Capital Asset Pricing Models using Functional-Coefficient Panel Data Models with Cross-Sectional Dependence," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202009, Jul, revised Jul 2020.
• William A. Barnett & Fredj Jawadi & Zied Ftiti, 2020, "Causal Relationships Between Inflation and Inflation Uncertainty," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202010, Jul, revised Jul 2020.
• Zongwu Cai & Ted Juhl, 2020, "The Distribution Of Rolling Regression Estimators," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202013, Aug, revised Aug 2020.
• Zongwu Cai & Chaoqun Ma & Xianhua Mi, 2020, "Realized Volatility Forecasting Based on Dynamic Quantile Model Averaging," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202016, Sep, revised Sep 2020.
• Zongwu Cai & Xiyuan Liu, 2020, "A Functional-Coefficient VAR Model for Dynamic Quantiles with Constructing Financial Network," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202017, Oct, revised Oct 2020.
• Zongwu Cai & Xiyuan Liu, 2020, "A Nonparametric Dynamic Network via Multivariate Quantile Autoregressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202209, Oct, revised Mar 2022.
• Zongwu Cai & Xiyuan Liu & Liangjun Su, 2020, "A Functional-Coefficient VAR Model for Dynamic Quantiles and Its Application to Constructing Nonparametric Financial Network," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202406, Oct, revised Jan 2024.
• Masahiro Tanaka, 2020, "Bayesian Inference of Local Projections with Roughness Penalty Priors," Computational Economics, Springer;Society for Computational Economics, volume 55, issue 2, pages 629-651, February, DOI: 10.1007/s10614-019-09905-y.
• Philip Hans Franses & Thomas Wiemann, 2020, "Intertemporal Similarity of Economic Time Series: An Application of Dynamic Time Warping," Computational Economics, Springer;Society for Computational Economics, volume 56, issue 1, pages 59-75, June, DOI: 10.1007/s10614-020-09986-0.
• Sushanta Mallick & Aarti Rughoo & Nickolaos G. Tzeremes & Wei Xu, 2020, "Technological Change and Catching-Up in the Indian Banking Sector: A Time-Dependent Nonparametric Frontier Approach," Computational Economics, Springer;Society for Computational Economics, volume 56, issue 1, pages 217-237, June, DOI: 10.1007/s10614-020-09993-1.
• Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020, "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, volume 168, issue 4, pages 519-540, December, DOI: 10.1007/s10645-020-09374-x.
• Indrani Chakraborty, 2020, "Debt financing and market concentration in an emerging economy: firm-level evidence from India," Economic Change and Restructuring, Springer, volume 53, issue 3, pages 451-474, August, DOI: 10.1007/s10644-019-09256-6.

2019

• Funke, Benedikt & Hirukawa, Masayuki, 2019, "Nonparametric estimation and testing on discontinuity of positive supported densities: a kernel truncation approach," Econometrics and Statistics, Elsevier, volume 9, issue C, pages 156-170, DOI: 10.1016/j.ecosta.2017.07.006.
• Li, Qing & Vo, Long Hai & Wu, Yanrui, 2019, "Intangible capital distribution in China," Economic Systems, Elsevier, volume 43, issue 2, pages 1-1, DOI: 10.1016/j.ecosys.2019.100698.
• Bansal, Prateek & Daziano, Ricardo A. & Sunder, Naveen, 2019, "Arriving at a decision: A semi-parametric approach to institutional birth choice in India," Journal of choice modelling, Elsevier, volume 31, issue C, pages 86-103, DOI: 10.1016/j.jocm.2019.04.001.
• Puggioni, Daniela & Stefanou, Spiro E., 2019, "The value of being socially responsible: A primal-dual approach," European Journal of Operational Research, Elsevier, volume 276, issue 3, pages 1090-1103, DOI: 10.1016/j.ejor.2019.01.065.
• Yang, Qiao, 2019, "Stock returns and real growth: A Bayesian nonparametric approach," Journal of Empirical Finance, Elsevier, volume 53, issue C, pages 53-69, DOI: 10.1016/j.jempfin.2019.06.005.
• Latini, Luca & Piccirilli, Marco & Vargiolu, Tiziano, 2019, "Mean-reverting no-arbitrage additive models for forward curves in energy markets," Energy Economics, Elsevier, volume 79, issue C, pages 157-170, DOI: 10.1016/j.eneco.2018.03.001.
• Uniejewski, Bartosz & Marcjasz, Grzegorz & Weron, Rafał, 2019, "On the importance of the long-term seasonal component in day-ahead electricity price forecasting: Part II — Probabilistic forecasting," Energy Economics, Elsevier, volume 79, issue C, pages 171-182, DOI: 10.1016/j.eneco.2018.02.007.
• Allevi, E. & Basso, A. & Bonenti, F. & Oggioni, G. & Riccardi, R., 2019, "Measuring the environmental performance of green SRI funds: A DEA approach," Energy Economics, Elsevier, volume 79, issue C, pages 32-44, DOI: 10.1016/j.eneco.2018.07.023.
• Wang, Chunhua & Cao, Xiaoyong & Mao, Jie & Qin, Ping, 2019, "The changes in coal intensity of electricity generation in Chinese coal-fired power plants," Energy Economics, Elsevier, volume 80, issue C, pages 491-501, DOI: 10.1016/j.eneco.2019.01.032.
• Bedoui, Rihab & Braiek, Sana & Guesmi, Khaled & Chevallier, Julien, 2019, "On the conditional dependence structure between oil, gold and USD exchange rates: Nested copula based GJR-GARCH model," Energy Economics, Elsevier, volume 80, issue C, pages 876-889, DOI: 10.1016/j.eneco.2019.02.002.
• Wang, Zhaohua & Sun, Yefei & Wang, Bo, 2019, "How does the new-type urbanisation affect CO2 emissions in China? An empirical analysis from the perspective of technological progress," Energy Economics, Elsevier, volume 80, issue C, pages 917-927, DOI: 10.1016/j.eneco.2019.02.017.
• Chen, Chaoyi & Polemis, Michael & Stengos, Thanasis, 2019, "Can exchange rate pass-through explain the asymmetric gasoline puzzle? Evidence from a pooled panel threshold analysis of the EU," Energy Economics, Elsevier, volume 81, issue C, pages 1-12, DOI: 10.1016/j.eneco.2019.03.010.
• Haider, Salman & Danish, Mohd Shadab & Sharma, Ruchi, 2019, "Assessing energy efficiency of Indian paper industry and influencing factors: A slack-based firm-level analysis," Energy Economics, Elsevier, volume 81, issue C, pages 454-464, DOI: 10.1016/j.eneco.2019.04.027.
• Ghoddusi, Hamed & Creamer, Germán G. & Rafizadeh, Nima, 2019, "Machine learning in energy economics and finance: A review," Energy Economics, Elsevier, volume 81, issue C, pages 709-727, DOI: 10.1016/j.eneco.2019.05.006.
• Bernstein, David H. & Parmeter, Christopher F., 2019, "Returns to scale in electricity generation: Replicated and revisited," Energy Economics, Elsevier, volume 82, issue C, pages 4-15, DOI: 10.1016/j.eneco.2017.12.024.
• Doko Tchatoka, Firmin & Masson, Virginie & Parry, Sean, 2019, "Linkages between oil price shocks and stock returns revisited," Energy Economics, Elsevier, volume 82, issue C, pages 42-61, DOI: 10.1016/j.eneco.2018.02.016.
• Albulescu, Claudiu Tiberiu & Demirer, Riza & Raheem, Ibrahim D. & Tiwari, Aviral Kumar, 2019, "Does the U.S. economic policy uncertainty connect financial markets? Evidence from oil and commodity currencies," Energy Economics, Elsevier, volume 83, issue C, pages 375-388, DOI: 10.1016/j.eneco.2019.07.024.
• Hailemariam, Abebe & Smyth, Russell & Zhang, Xibin, 2019, "Oil prices and economic policy uncertainty: Evidence from a nonparametric panel data model," Energy Economics, Elsevier, volume 83, issue C, pages 40-51, DOI: 10.1016/j.eneco.2019.06.010.
• Affuso, Ermanno, 2019, "Consumer welfare and climate change in Greenland," Energy Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.eneco.2019.104505.
• Dahl, Christian M. & Effraimidis, Georgios & Pedersen, Mikkel H., 2019, "Nonparametric wind power forecasting under fixed and random censoring," Energy Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.eneco.2019.104520.
• Gearhart, Richard & Michieka, Nyakundi, 2019, "Natural resource abundance and healthcare efficiency in Appalachia: A robust conditional approach," Energy Policy, Elsevier, volume 129, issue C, pages 985-996, DOI: 10.1016/j.enpol.2019.03.010.
• Sakemoto, Ryuta, 2019, "Currency carry trades and the conditional factor model," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 198-208, DOI: 10.1016/j.irfa.2019.03.007.
• Brogaard, Jonathan & Koski, Jennifer L. & Siegel, Andrew F., 2019, "Do upgrades matter? Evidence from trading volume," Journal of Financial Markets, Elsevier, volume 43, issue C, pages 54-77, DOI: 10.1016/j.finmar.2018.06.001.
• Ketteni, Elena & Kottaridi, Constantina, 2019, "The impact of regulations on the FDI-growth nexus within the institution-based view: A nonlinear specification with varying coefficients," International Business Review, Elsevier, volume 28, issue 3, pages 415-427, DOI: 10.1016/j.ibusrev.2018.11.001.
• Liu, Bin & Gao, Jianbo, 2019, "Understanding the non-Gaussian distribution of revealed comparative advantage index and its alternatives," International Economics, Elsevier, volume 158, issue C, pages 1-11, DOI: 10.1016/j.inteco.2019.01.001.
• Uniejewski, Bartosz & Marcjasz, Grzegorz & Weron, Rafał, 2019, "Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO," International Journal of Forecasting, Elsevier, volume 35, issue 4, pages 1533-1547, DOI: 10.1016/j.ijforecast.2019.02.001.
• Da Fonseca, José & Ignatieva, Katja, 2019, "Jump activity analysis for affine jump-diffusion models: Evidence from the commodity market," Journal of Banking & Finance, Elsevier, volume 99, issue C, pages 45-62, DOI: 10.1016/j.jbankfin.2018.11.014.
• Heufer, Jan & Hjertstrand, Per, 2019, "Homothetic preferences revealed," Journal of Economic Behavior & Organization, Elsevier, volume 157, issue C, pages 602-614, DOI: 10.1016/j.jebo.2018.10.018.
• Sapci, Ayse & Miles, Bradley, 2019, "Bank size, returns to scale, and cost efficiency," Journal of Economics and Business, Elsevier, volume 105, issue C, DOI: 10.1016/j.jeconbus.2019.04.003.
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