Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting with DSGE Models
2. Forecasting

2019

• Andreas Joseph, 2019, "From interpretability to inference: an estimation framework for universal approximators," Papers, arXiv.org, number 1903.04209, Mar, revised Dec 2024.
• Ali Habibnia & Esfandiar Maasoumi, 2019, "Forecasting in Big Data Environments: an Adaptable and Automated Shrinkage Estimation of Neural Networks (AAShNet)," Papers, arXiv.org, number 1904.11145, Apr.
• Rob Donnelly & Francisco R. Ruiz & David Blei & Susan Athey, 2019, "Counterfactual Inference for Consumer Choice Across Many Product Categories," Papers, arXiv.org, number 1906.02635, Jun, revised Aug 2023.
• Jean-Bernard Chatelain & Kirsten Ralf, 2019, "Publish and Perish: Creative Destruction and Macroeconomic Theory," Papers, arXiv.org, number 1908.10680, Aug.
• Nail Kashaev & Bruno Salcedo, 2019, "Discerning Solution Concepts," Papers, arXiv.org, number 1909.09320, Sep.
• Francis X. Diebold & Glenn D. Rudebusch, 2019, "Probability Assessments of an Ice-Free Arctic: Comparing Statistical and Climate Model Projections," Papers, arXiv.org, number 1912.10774, Dec, revised Jul 2021.
• Ekaterina Tzvetanova, 2019, "Adaptation of the Altman’s Corporate Insolvency Prediction Model – The Bulgarian Case," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 4, pages 125-142.
• Dany Brouillette & Marie-Noëlle Robitaille & Laurence Savoie-Chabot & Pierre St-Amant & Bassirou Gueye & Elise Martin, 2019, "The Trend Unemployment Rate in Canada: Searching for the Unobservable," Staff Working Papers, Bank of Canada, number 19-13, Mar, DOI: 10.34989/swp-2019-13.
• Gergely Ganics & Eva Ortega, 2019, "Las previsiones macroeconómicas del Banco de España a la luz de un modelo econométrico," Boletín Económico, Banco de España, issue SEP.
• Gergely Ganics & Eva Ortega, 2019, "Banco de España macroeconomic projections: comparison with an econometric model," Economic Bulletin, Banco de España, issue SEP.
• Federica Ciocchetta & Wanda Cornacchia, 2019, "Assessing financial stability risks from the real estate market in Italy: an update," Questioni di Economia e Finanza (Occasional Papers), Bank of Italy, Economic Research and International Relations Area, number 493, Apr.
• Guerino Ardizzi & Simone Emiliozzi & Juri Marcucci & Libero Monteforte, 2019, "News and consumer card payments," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1233, Oct.
• Mirko Moscatelli & Simone Narizzano & Fabio Parlapiano & Gianluca Viggiano, 2019, "Corporate default forecasting with machine learning," Temi di discussione (Economic working papers), Bank of Italy, Economic Research and International Relations Area, number 1256, Dec.
• Yiru Wang & Barbara Rossi, 2019, "VAR-Based Granger-Causality Test in the Presence of Instabilities," Working Papers, Barcelona School of Economics, number 1083, Apr.
• Adam Richardson & Thomas van Florenstein Mulder & Tugrul Vehbi, 2019, "Nowcasting New Zealand GDP using machine learning algorithms," IFC Bulletins chapters, Bank for International Settlements, in: Bank for International Settlements, "The use of big data analytics and artificial intelligence in central banking".
• Vuković Marija & Pivac Snježana & Kundid Duje, 2019, "Technology Acceptance Model for the Internet Banking Acceptance in Split," Business Systems Research, Sciendo, volume 10, issue 2, pages 124-140, September, DOI: 10.2478/bsrj-2019-022.
• Denis Shibitov & Mariam Mamedli, 2019, "The finer points of model comparison in machine learning: forecasting based on russian banks’ data," Bank of Russia Working Paper Series, Bank of Russia, number wps43, Aug.
• Pablo Picardo, 2019, "Predicción de precios de vivienda: Aprendizaje estadístico con datos de oferta y transacciones para la ciudad de Montevideo," Documentos de trabajo, Banco Central del Uruguay, number 2019002.
• Simplice A. ASONGU & Jacinta NWACHUKWU & Nicholas BIEKPE, 2019, "Foreign Aid, Terrorism And Growth: Conditional Evidence From Quantile Regression," Annals of Public and Cooperative Economics, Wiley Blackwell, volume 90, issue 3, pages 457-486, September, DOI: 10.1111/apce.12235.
• Michael Donadelli & Antonio Paradiso & Max Riedel, 2019, "A Quasi Real‐Time Leading Indicator for the EU Industrial Production," Manchester School, University of Manchester, volume 87, issue 4, pages 510-542, July, DOI: 10.1111/manc.12233.
• Patrick Minford & Michael Wickens & Yongdeng Xu, 2019, "Testing Part of a DSGE Model by Indirect Inference," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 81, issue 1, pages 178-194, February, DOI: 10.1111/obes.12253.
• André K. Anundsen, 2019, "Detecting Imbalances in House Prices: What Goes Up Must Come Down?," Scandinavian Journal of Economics, Wiley Blackwell, volume 121, issue 4, pages 1587-1619, October, DOI: 10.1111/sjoe.12349.
• Andreas Joseph, 2019, "Parametric inference with universal function approximators," Bank of England working papers, Bank of England, number 784, Mar.
• Joel Suss & Henry Treitel, 2019, "Predicting bank distress in the UK with machine learning," Bank of England working papers, Bank of England, number 831, Oct.
• Samuel Bazzi & Robert A. Blair & Christopher Blattman & Oeindrila Dube & Matthew Gudgeon & Richard Peck, 2019, "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series, Boston University - Department of Economics, number dp-328, Feb.
• Gibbons Charles E. & Suárez Serrato Juan Carlos & Urbancic Michael B., 2019, "Broken or Fixed Effects?," Journal of Econometric Methods, De Gruyter, volume 8, issue 1, pages 1-12, January, DOI: 10.1515/jem-2017-0002.
• Pacini David, 2019, "On the Size Distortion of a Test for Equality between the ATE and FE Estimands," Journal of Econometric Methods, De Gruyter, volume 8, issue 1, pages 1-4, January, DOI: 10.1515/jem-2018-0011.
• Tófoli Paula V. & Ziegelmann Flávio A. & Candido Osvaldo & Valls Pereira Pedro L., 2019, "Dynamic D-Vine Copula Model with Applications to Value-at-Risk (VaR)," Journal of Time Series Econometrics, De Gruyter, volume 11, issue 2, pages 1-34, July, DOI: 10.1515/jtse-2017-0016.
• Kurosaki Tetsuo & Kim Young Shin, 2019, "Foster-Hart optimization for currency portfolios," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 23, issue 2, pages 1-15, April, DOI: 10.1515/snde-2017-0119.
• Audrino Francesco & Huang Chen & Okhrin Ostap, 2019, "Flexible HAR model for realized volatility," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 23, issue 3, pages 1-22, June, DOI: 10.1515/snde-2017-0080.
• Vincent Vergnat, 2019, "Lutte contre la pauvreté et incitations à l’emploi : quelle politique pour les jeunes ?," Revue économique, Presses de Sciences-Po, volume 70, issue 4, pages 539-568.
• 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.
• Jim Malley & Ulrich Woitek, 2019, "Estimated human capital externalities in an endogenous growth framework," CESifo Working Paper Series, CESifo, number 7603.
• Lutz Kilian, 2019, "Facts and Fiction in Oil Market Modeling," CESifo Working Paper Series, CESifo, number 7902.
• Tsutomu Watanabe & Tomoyoshi Yabu, 2019, "How Large is the Demand for Money at the ZLB? Evidence from Japan," CARF F-Series, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo, number CARF-F-465, Sep.
• 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.
• Paul Schneider, 2019, "A Theory of Scenario Generation," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-17, Mar.
• Chaonan Jiang & Davide La Vecchia & Elvezio Ronchetti & O. Scaillet, 2019, "Saddlepoint Approximations for Spatial Panel Data Models," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-18, Mar, revised Mar 2019.
• Piotr Orłowski & Andras Sali & Fabio Trojani, 2019, "Arbitrage Free Dispersion," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-20, Jan, revised Apr 2019.
• Patrick Gagliardini & Elisa Ossola & O. Scaillet, 2019, "Estimation of Large Dimensional Conditional Factor Models in Finance," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-46, Aug.
• Denisa Banulescu & Christophe Hurlin & Jeremy Leymarie & O. Scaillet, 2019, "Backtesting Marginal Expected Shortfall and Related Systemic Risk Measures," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 19-48, Sep.
• Luis Melo Velandia & Luis Fernando Melo Velandia, 2019, "Regresión cuantílica dinámica para la medición del valor en riesgo: Una aplicación a datos colombianos," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, volume 38, issue 76, pages 23-50.
• Susana Martínez-Restrepo & David Forero & Luisa Parra & Lina Forero, 2019, "Evaluación de resultados del Diplomado Eco Radio del Putumayo," Informes de Investigación, Fedesarrollo, number 18134, Mar.
• 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.
• Juan Pablo Alfonso Zorro, 2019, "Efectos de las variaciones del IPC en las decisiones financieras," Econógrafos, Escuela de Economía, Universidad Nacional de Colombia, FCE, CID, number 17329, Jul.
• Jorge Iván Pérez García & Mauricio Lopera Casta�o & Fredy Alonso V�squez Bedoya, 2019, "Una breve aplicación a la predicción de la fragilidad de empresas colombianas, mediante el uso de modelos estadísticos," Borradores Departamento de Economía, Universidad de Antioquia, CIE, number 17525, Sep.
• Zweimüller, Josef & Jäger, Simon & Schoefer, Benjamin, 2019, "Marginal Jobs and Job Surplus: A Test of the Efficiency of Separations," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13473, Jan.
• León-Ledesma, Miguel & Cantore, Cristiano & Ferroni, Filippo, 2019, "The Missing Link: Monetary Policy and The Labor Share," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13551, Feb.
• Blattman, Christopher & Dube, Oeindrila & Bazzi, Samuel & Gudgeon, Matthew & Peck, Richard & Blair, Robert, 2019, "The Promise and Pitfalls of Conflict Prediction: Evidence from Colombia and Indonesia," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 13829, Jun.
• Kilian, Lutz, 2019, "Facts and Fiction in Oil Market Modeling," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14047, Oct.
• Wickens, Michael R. & Pagan, Adrian, 2019, "Checking if the Straitjacket Fits," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14140, Nov.
• Puga, Diego & Duranton, Gilles, 2019, "Urban growth and its aggregate implications," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 14215, Dec.
• Delgado, Miguel A. & Arteaga-Molina, Luis A., 2019, "Testing Constancy in Varying Coefficient Models," UC3M Working papers. Economics, Universidad Carlos III de Madrid. Departamento de Economía, number 27981, Jan.
• Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019, "Score-driven time series models with dynamic shape : an application to the Standard & Poor's 500 index," UC3M Working papers. Economics, Universidad Carlos III de Madrid. Departamento de Economía, number 28133, Jan.
• Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2019, "Co-integration and common trends analysis with score-driven models : an application to the federal funds effective rate and US inflation rate," UC3M Working papers. Economics, Universidad Carlos III de Madrid. Departamento de Economía, number 28451, May.
• Ayala, Astrid & Blazsek, Szabolcs & Escribano, Álvaro, 2019, "Maximum likelihood estimation of score-driven models with dynamic shape parameters : an application to Monte Carlo value-at-risk," UC3M Working papers. Economics, Universidad Carlos III de Madrid. Departamento de Economía, number 28638, Jul.
• Blazsek, Szabolcs & Escribano, Álvaro & Licht, Adrian, 2019, "Markov-switching score-driven multivariate models: outlier-robust measurement of the relationships between world crude oil production and US industrial production," UC3M Working papers. Economics, Universidad Carlos III de Madrid. Departamento de Economía, number 29030, Oct.
• Christian Cortes García & Álvaro Cangrejo Esquive, 2019, "Modelo de volatilidad a los precios de cierre de la acción pfcemargos comprendidas entre 16/mayo/2013 al 31/mayo/2017," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, volume 42, issue 119, pages 119-138, Mayo.
• José Carlos Casas del Rosal & David E. Casas del Rosal & José María Caridad y Ocerin & Julia Núñez Tabales, 2019, "Mercado inmobiliario de españa: Una herramienta para el análisis de la oferta," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, volume 42, issue 120, pages 207-218, Diciembre.
• Raúl de Jesús Gutiérrez & Miriam Sosa Castro, 2019, "Predicción de la volatilidad en los mercados del petróleo mexicano a través de modelos CgarCH asimétricos bajo dos supuestos distribucionales," Cuadernos de Economía - Spanish Journal of Economics and Finance, Asociación Cuadernos de Economía, volume 42, issue 120, pages 253-267, Diciembre.
• Zhang, Xinyu & Liu, Chu-An, 2019, "Inference After Model Averaging In Linear Regression Models," Econometric Theory, Cambridge University Press, volume 35, issue 4, pages 816-841, August.
• Fries, Sébastien & Zakoian, Jean-Michel, 2019, "Mixed Causal-Noncausal Ar Processes And The Modelling Of Explosive Bubbles," Econometric Theory, Cambridge University Press, volume 35, issue 6, pages 1234-1270, December.
• Cole, Stephen J. & Milani, Fabio, 2019, "The Misspecification Of Expectations In New Keynesian Models: A Dsge-Var Approach," Macroeconomic Dynamics, Cambridge University Press, volume 23, issue 3, pages 974-1007, April.
• Blagov, Boris & Funke, Michael, 2019, "The Regime-Dependent Evolution Of Credibility: A Fresh Look At Hong Kong'S Linked Exchange Rate System," Macroeconomic Dynamics, Cambridge University Press, volume 23, issue 6, pages 2434-2468, September.
• Langlois, Hugues & Chaieb, Ines & Scaillet, O., 2018, "Time-Varying Risk Premia in Large International Equity Markets," HEC Research Papers Series, HEC Paris, number 1250, Jun, revised 29 May 2019.
• Angelini, Elena & Lalik, Magdalena & Lenza, Michele & Paredes, Joan, 2019, "Mind the gap: a multi-country BVAR benchmark for the Eurosystem projections," Working Paper Series, European Central Bank, number 2227, Jan.
• Chaido Dritsaki & Pavlos Stamatiou, 2019, "Investigating the Impact of Market Openness on Economic Growth for Poland: An Autoregressive Distributed Lag Bounds Testing Approach to Cointegration," International Journal of Economics and Financial Issues, Econjournals, volume 9, issue 6, pages 123-131.
• Ali Nikzadian & Lotfali Agheli & Abbas Assari Arani & Hossein Sadeghi, 2019, "The Effects of Resource Rent, Human Capital and Government Effectiveness on Government Health Expenditure in Organization of the Petroleum Exporting Countries," International Journal of Energy Economics and Policy, Econjournals, volume 9, issue 2, pages 381-389.
• Mariam Camarero & Laura Montolio & Cecilio Tamarit, 2019, "Determinants of German outward FDI: variable selection using Bayesian statistical," Working Papers, Department of Applied Economics II, Universidad de Valencia, number 1906, Sep.
• Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2019, "Searching The Us Fdi Determinants In The Eu: Is There A Euro Effect?," Working Papers, Department of Applied Economics II, Universidad de Valencia, number 1916, Nov.
• Iskrev, Nikolay, 2019, "What to expect when you're calibrating: Measuring the effect of calibration on the estimation of macroeconomic models," Journal of Economic Dynamics and Control, Elsevier, volume 99, issue C, pages 54-81, DOI: 10.1016/j.jedc.2018.12.002.
• 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.
• Granville, Brigitte & Zeng, Ning, 2019, "Time variation in inflation persistence: New evidence from modelling US inflation," Economic Modelling, Elsevier, volume 81, issue C, pages 30-39, DOI: 10.1016/j.econmod.2018.12.004.
• Escribano, Ana & Maggi, Mario, 2019, "Intersectoral default contagion: A multivariate Poisson autoregression analysis," Economic Modelling, Elsevier, volume 82, issue C, pages 376-400, DOI: 10.1016/j.econmod.2019.01.020.
• Camarero, Mariam & Montolio, Laura & Tamarit, Cecilio, 2019, "What drives German foreign direct investment? New evidence using Bayesian statistical techniques," Economic Modelling, Elsevier, volume 83, issue C, pages 326-345, DOI: 10.1016/j.econmod.2019.08.017.
• Salisu, Afees A. & Isah, Kazeem & Akanni, Lateef O., 2019, "Improving the predictability of stock returns with Bitcoin prices," The North American Journal of Economics and Finance, Elsevier, volume 48, issue C, pages 857-867, DOI: 10.1016/j.najef.2018.08.010.
• Gonçalves, Tânia & Pinto, Lígia M. Costa & Lourenço-Gomes, Lina, 2019, "Exploring distinct sources of heterogeneity in discrete choice experiment: An application to wine choice across European consumers," Economics Letters, Elsevier, volume 178, issue C, pages 28-32, DOI: 10.1016/j.econlet.2019.02.019.
• Cerulli, Giovanni, 2019, "A flexible Synthetic Control Method for modeling policy evaluation," Economics Letters, Elsevier, volume 182, issue C, pages 40-44, DOI: 10.1016/j.econlet.2019.05.019.
• Ketz, Philipp, 2019, "Testing overidentifying restrictions with a restricted parameter space," Economics Letters, Elsevier, volume 185, issue C, DOI: 10.1016/j.econlet.2019.108743.
• Cerulli, Giovanni, 2019, "Data-driven sensitivity analysis for matching estimators," Economics Letters, Elsevier, volume 185, issue C, DOI: 10.1016/j.econlet.2019.108749.
• Liang, Chong & Schienle, Melanie, 2019, "Determination of vector error correction models in high dimensions," Journal of Econometrics, Elsevier, volume 208, issue 2, pages 418-441, DOI: 10.1016/j.jeconom.2018.09.018.
• Jin, Fei & Lee, Lung-fei, 2019, "GEL estimation and tests of spatial autoregressive models," Journal of Econometrics, Elsevier, volume 208, issue 2, pages 585-612, DOI: 10.1016/j.jeconom.2018.07.007.
• Rossi, Barbara & Sekhposyan, Tatevik, 2019, "Alternative tests for correct specification of conditional predictive densities," Journal of Econometrics, Elsevier, volume 208, issue 2, pages 638-657, DOI: 10.1016/j.jeconom.2018.07.008.
• Liao, Jun & Zong, Xianpeng & Zhang, Xinyu & Zou, Guohua, 2019, "Model averaging based on leave-subject-out cross-validation for vector autoregressions," Journal of Econometrics, Elsevier, volume 209, issue 1, pages 35-60, DOI: 10.1016/j.jeconom.2018.10.007.
• Sant’Anna, Pedro H.C. & Song, Xiaojun, 2019, "Specification tests for the propensity score," Journal of Econometrics, Elsevier, volume 210, issue 2, pages 379-404, DOI: 10.1016/j.jeconom.2019.02.002.
• Hautsch, Nikolaus & Voigt, Stefan, 2019, "Large-scale portfolio allocation under transaction costs and model uncertainty," Journal of Econometrics, Elsevier, volume 212, issue 1, pages 221-240, DOI: 10.1016/j.jeconom.2019.04.028.
• Andersen, Torben G. & Fusari, Nicola & Todorov, Viktor & Varneskov, Rasmus T., 2019, "Unified inference for nonlinear factor models from panels with fixed and large time span," Journal of Econometrics, Elsevier, volume 212, issue 1, pages 4-25, DOI: 10.1016/j.jeconom.2019.04.018.
• Gagliardini, Patrick & Ossola, Elisa & Scaillet, Olivier, 2019, "A diagnostic criterion for approximate factor structure," Journal of Econometrics, Elsevier, volume 212, issue 2, pages 503-521, DOI: 10.1016/j.jeconom.2019.06.001.
• Giessing, Alexander & He, Xuming, 2019, "On the predictive risk in misspecified quantile regression," Journal of Econometrics, Elsevier, volume 213, issue 1, pages 235-260, DOI: 10.1016/j.jeconom.2019.04.013.
• 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.
• He, Changli & Kang, Jian & Teräsvirta, Timo & Zhang, Shuhua, 2019, "The shifting seasonal mean autoregressive model and seasonality in the Central England monthly temperature series, 1772–2016," Econometrics and Statistics, Elsevier, volume 12, issue C, pages 1-24, DOI: 10.1016/j.ecosta.2019.05.005.
• Ghysels, Eric & Qian, Hang, 2019, "Estimating MIDAS regressions via OLS with polynomial parameter profiling," Econometrics and Statistics, Elsevier, volume 9, issue C, pages 1-16, DOI: 10.1016/j.ecosta.2018.02.001.
• Gourieroux, Christian & Jasiak, Joann, 2019, "Robust analysis of the martingale hypothesis," Econometrics and Statistics, Elsevier, volume 9, issue C, pages 17-41, DOI: 10.1016/j.ecosta.2018.07.001.
• Chadwick, Meltem Gulenay & Ozturk, Huseyin, 2019, "Measuring financial systemic stress for Turkey: A search for the best composite indicator," Economic Systems, Elsevier, volume 43, issue 1, pages 151-172, DOI: 10.1016/j.ecosys.2018.09.004.
• Iskrev, Nikolay, 2019, "On the sources of information about latent variables in DSGE models," European Economic Review, Elsevier, volume 119, issue C, pages 318-332, DOI: 10.1016/j.euroecorev.2019.07.012.
• González-Astudillo, Manuel, 2019, "An output gap measure for the euro area: Exploiting country-level and cross-sectional data heterogeneity," European Economic Review, Elsevier, volume 120, issue C, DOI: 10.1016/j.euroecorev.2019.103301.
• Chen, Rongda & Xu, Jianjun, 2019, "Forecasting volatility and correlation between oil and gold prices using a novel multivariate GAS model," Energy Economics, Elsevier, volume 78, issue C, pages 379-391, DOI: 10.1016/j.eneco.2018.11.011.
• Agnolucci, Paolo & Arvanitopoulos, Theodoros, 2019, "Industrial characteristics and air emissions: Long-term determinants in the UK manufacturing sector," Energy Economics, Elsevier, volume 78, issue C, pages 546-566, DOI: 10.1016/j.eneco.2018.12.005.
• Cheng, Fangzheng & Li, Tian & Wei, Yi-ming & Fan, Tijun, 2019, "The VEC-NAR model for short-term forecasting of oil prices," Energy Economics, Elsevier, volume 78, issue C, pages 656-667, DOI: 10.1016/j.eneco.2017.12.035.
• Bruns, Stephan B. & König, Johannes & Stern, David I., 2019, "Replication and robustness analysis of ‘energy and economic growth in the USA: A multivariate approach’," Energy Economics, Elsevier, volume 82, issue C, pages 100-113, DOI: 10.1016/j.eneco.2018.10.007.
• Cook, Steven & Fosten, Jack, 2019, "Replicating rockets and feathers," Energy Economics, Elsevier, volume 82, issue C, pages 139-151, DOI: 10.1016/j.eneco.2017.12.021.
• Leiva, Benjamin & Liu, Zhongyuan, 2019, "Energy and economic growth in the USA two decades later: Replication and reanalysis," Energy Economics, Elsevier, volume 82, issue C, pages 89-99, DOI: 10.1016/j.eneco.2018.02.002.
• Benkraiem, Ramzi & Lahiani, Amine & Miloudi, Anthony & Shahbaz, Muhammad, 2019, "The asymmetric role of shadow economy in the energy-growth nexus in Bolivia," Energy Policy, Elsevier, volume 125, issue C, pages 405-417, DOI: 10.1016/j.enpol.2018.10.060.
• Szőke, Tamás & Hortay, Olivér & Balogh, Eszter, 2019, "Asymmetric price transmission in the Hungarian retail electricity market," Energy Policy, Elsevier, volume 133, issue C, DOI: 10.1016/j.enpol.2019.110879.
• Ji, Qiang & Bouri, Elie & Lau, Chi Keung Marco & Roubaud, David, 2019, "Dynamic connectedness and integration in cryptocurrency markets," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 257-272, DOI: 10.1016/j.irfa.2018.12.002.
• Shahzad, Syed Jawad Hussain & Bouri, Elie & Roubaud, David & Kristoufek, Ladislav & Lucey, Brian, 2019, "Is Bitcoin a better safe-haven investment than gold and commodities?," International Review of Financial Analysis, Elsevier, volume 63, issue C, pages 322-330, DOI: 10.1016/j.irfa.2019.01.002.
• Chen, Zhongfei & Matousek, Roman & Stewart, Chris & Webb, Rob, 2019, "Do rating agencies exhibit herding behaviour? Evidence from sovereign ratings," International Review of Financial Analysis, Elsevier, volume 64, issue C, pages 57-70, DOI: 10.1016/j.irfa.2019.04.011.
• Chang, Chia-Lin & McAleer, Michael, 2019, "The fiction of full BEKK: Pricing fossil fuels and carbon emissions," Finance Research Letters, Elsevier, volume 28, issue C, pages 11-19, DOI: 10.1016/j.frl.2018.03.008.
• Troster, Victor & Tiwari, Aviral Kumar & Shahbaz, Muhammad & Macedo, Demian Nicolás, 2019, "Bitcoin returns and risk: A general GARCH and GAS analysis," Finance Research Letters, Elsevier, volume 30, issue C, pages 187-193, DOI: 10.1016/j.frl.2018.09.014.
• Wei, Yu & Qin, Songkun & Li, Xiafei & Zhu, Sha & Wei, Guiwu, 2019, "Oil price fluctuation, stock market and macroeconomic fundamentals: Evidence from China before and after the financial crisis," Finance Research Letters, Elsevier, volume 30, issue C, pages 23-29, DOI: 10.1016/j.frl.2019.03.028.
• Saraev, Vadim & Valatin, Gregory & Peace, Andrew & Quine, Christopher, 2019, "How does a biodiversity value impact upon optimal rotation length? An investigation using species richness and forest stand age," Forest Policy and Economics, Elsevier, volume 107, issue C, pages 1-1, DOI: 10.1016/j.forpol.2019.05.013.
• Maaser, Nicola & Paetzel, Fabian & Traub, Stefan, 2019, "Power illusion in coalitional bargaining: An experimental analysis," Games and Economic Behavior, Elsevier, volume 117, issue C, pages 433-450, DOI: 10.1016/j.geb.2019.07.010.
• Huber, Martin & Imhof, David, 2019, "Machine learning with screens for detecting bid-rigging cartels," International Journal of Industrial Organization, Elsevier, volume 65, issue C, pages 277-301, DOI: 10.1016/j.ijindorg.2019.04.002.
• Martinek, László & Arató, N. Miklós, 2019, "An approach to merit rating by means of autoregressive sequences," Insurance: Mathematics and Economics, Elsevier, volume 85, issue C, pages 205-217, DOI: 10.1016/j.insmatheco.2019.01.008.
• Lux, Thibaut & Papapantoleon, Antonis, 2019, "Model-free bounds on Value-at-Risk using extreme value information and statistical distances," Insurance: Mathematics and Economics, Elsevier, volume 86, issue C, pages 73-83, DOI: 10.1016/j.insmatheco.2019.01.007.
• Guibert, Quentin & Lopez, Olivier & Piette, Pierrick, 2019, "Forecasting mortality rate improvements with a high-dimensional VAR," Insurance: Mathematics and Economics, Elsevier, volume 88, issue C, pages 255-272, DOI: 10.1016/j.insmatheco.2019.07.004.
• Kočenda, Evžen & Moravcová, Michala, 2019, "Exchange rate comovements, hedging and volatility spillovers on new EU forex markets," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 58, issue C, pages 42-64, DOI: 10.1016/j.intfin.2018.09.009.
• Ponomareva, Natalia & Sheen, Jeffrey & Wang, Ben Zhe, 2019, "Forecasting exchange rates using principal components," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 63, issue C, DOI: 10.1016/j.intfin.2019.08.003.
• Buncic, Daniel & Stern, Cord, 2019, "Forecast ranked tailored equity portfolios," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 63, issue C, DOI: 10.1016/j.intfin.2019.101138.
• McAdam, Peter & Warne, Anders, 2019, "Euro area real-time density forecasting with financial or labor market frictions," International Journal of Forecasting, Elsevier, volume 35, issue 2, pages 580-600, DOI: 10.1016/j.ijforecast.2018.10.013.
• Panagiotelis, Anastasios & Athanasopoulos, George & Hyndman, Rob J. & Jiang, Bin & Vahid, Farshid, 2019, "Macroeconomic forecasting for Australia using a large number of predictors," International Journal of Forecasting, Elsevier, volume 35, issue 2, pages 616-633, DOI: 10.1016/j.ijforecast.2018.12.002.
• Granziera, Eleonora & Sekhposyan, Tatevik, 2019, "Predicting relative forecasting performance: An empirical investigation," International Journal of Forecasting, Elsevier, volume 35, issue 4, pages 1636-1657, DOI: 10.1016/j.ijforecast.2019.01.010.
• Angelini, Elena & Lalik, Magdalena & Lenza, Michele & Paredes, Joan, 2019, "Mind the gap: A multi-country BVAR benchmark for the Eurosystem projections," International Journal of Forecasting, Elsevier, volume 35, issue 4, pages 1658-1668, DOI: 10.1016/j.ijforecast.2018.12.004.
• Thiele, Stephen, 2019, "Detecting underestimates of risk in VaR models," Journal of Banking & Finance, Elsevier, volume 101, issue C, pages 12-20, DOI: 10.1016/j.jbankfin.2019.01.018.
• 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.
• Tedeschi, Gabriele & Recchioni, Maria Cristina & Berardi, Simone, 2019, "An approach to identifying micro behavior: How banks’ strategies influence financial cycles," Journal of Economic Behavior & Organization, Elsevier, volume 162, issue C, pages 329-346, DOI: 10.1016/j.jebo.2018.12.022.
• Liang, Annie, 2019, "Inference of preference heterogeneity from choice data," Journal of Economic Theory, Elsevier, volume 179, issue C, pages 275-311, DOI: 10.1016/j.jet.2018.09.010.
• Schneider, Paul, 2019, "An anatomy of the market return," Journal of Financial Economics, Elsevier, volume 132, issue 2, pages 325-350, DOI: 10.1016/j.jfineco.2018.10.015.
• Hossain, Marup & Mullally, Conner & Asadullah, M. Niaz, 2019, "Alternatives to calorie-based indicators of food security: An application of machine learning methods," Food Policy, Elsevier, volume 84, issue C, pages 77-91, DOI: 10.1016/j.foodpol.2019.03.001.
• Maroney, Neal & Wang, Wei & Kabir Hassan, M., 2019, "Incorporating active adjustment into a financing based model of capital structure," Journal of International Money and Finance, Elsevier, volume 90, issue C, pages 204-221, DOI: 10.1016/j.jimonfin.2018.09.011.
• Cao, Shuo & Huang, Huichou & Liu, Ruirui & MacDonald, Ronald, 2019, "The term structure of exchange rate predictability: Commonality, scapegoat, and disagreement," Journal of International Money and Finance, Elsevier, volume 95, issue C, pages 379-401, DOI: 10.1016/j.jimonfin.2018.03.013.
• Hwang, Youngjin, 2019, "Forecasting recessions with time-varying models," Journal of Macroeconomics, Elsevier, volume 62, issue C, DOI: 10.1016/j.jmacro.2019.103153.
• Blázquez, Maite & Herrarte, Ainhoa & Sáez, Felipe, 2019, "Training and job search assistance programmes in Spain: The case of long-term unemployed," Journal of Policy Modeling, Elsevier, volume 41, issue 2, pages 316-335, DOI: 10.1016/j.jpolmod.2019.03.004.
• Pincheira Brown, Pablo & Hardy, Nicolás, 2019, "Forecasting base metal prices with the Chilean exchange rate," Resources Policy, Elsevier, volume 62, issue C, pages 256-281, DOI: 10.1016/j.resourpol.2019.02.019.
• Salisu, Afees A. & Isah, Kazeem O. & Raheem, Ibrahim D., 2019, "Testing the predictability of commodity prices in stock returns of G7 countries: Evidence from a new approach," Resources Policy, Elsevier, volume 64, issue C, DOI: 10.1016/j.resourpol.2019.101520.
• Ba, Hélène A. & de Mey, Yann & Thoron, Sylvie & Demont, Matty, 2019, "Inclusiveness of contract farming along the vertical coordination continuum: Evidence from the Vietnamese rice sector," Land Use Policy, Elsevier, volume 87, issue C, DOI: 10.1016/j.landusepol.2019.104050.
• Nizam, Esma & Ng, Adam & Dewandaru, Ginanjar & Nagayev, Ruslan & Nkoba, Malik Abdulrahman, 2019, "The impact of social and environmental sustainability on financial performance: A global analysis of the banking sector," Journal of Multinational Financial Management, Elsevier, volume 49, issue C, pages 35-53, DOI: 10.1016/j.mulfin.2019.01.002.
• Ma, Feng & Wahab, M.I.M. & Zhang, Yaojie, 2019, "Forecasting the U.S. stock volatility: An aligned jump index from G7 stock markets," Pacific-Basin Finance Journal, Elsevier, volume 54, issue C, pages 132-146, DOI: 10.1016/j.pacfin.2019.02.006.
• Chun, Dohyun & Cho, Hoon & Ryu, Doojin, 2019, "Forecasting the KOSPI200 spot volatility using various volatility measures," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 514, issue C, pages 156-166, DOI: 10.1016/j.physa.2018.09.027.
• Radivojević, Nikola & Cvijanović, Drago & Sekulic, Dejan & Pavlovic, Dejana & Jovic, Srdjan & Maksimović, Goran, 2019, "Econometric model of non-performing loans determinants," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 520, issue C, pages 481-488, DOI: 10.1016/j.physa.2019.01.015.
• Isah, Kazeem O. & Raheem, Ibrahim D., 2019, "The hidden predictive power of cryptocurrencies and QE: Evidence from US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 536, issue C, DOI: 10.1016/j.physa.2019.04.268.
• Baghdasaryan, Vardan & Iannantuoni, Giovanna & Maggian, Valeria, 2019, "Electoral fraud and voter turnout: An experimental study," European Journal of Political Economy, Elsevier, volume 58, issue C, pages 203-219, DOI: 10.1016/j.ejpoleco.2018.12.001.
• Debarsy, Nicolas & Ertur, Cem, 2019, "Interaction matrix selection in spatial autoregressive models with an application to growth theory," Regional Science and Urban Economics, Elsevier, volume 75, issue C, pages 49-69, DOI: 10.1016/j.regsciurbeco.2019.01.002.
• Croonenbroeck, Carsten & Stadtmann, Georg, 2019, "Renewable generation forecast studies – Review and good practice guidance," Renewable and Sustainable Energy Reviews, Elsevier, volume 108, issue C, pages 312-322, DOI: 10.1016/j.rser.2019.03.029.
• Aguilar-Rivera, Noé, 2019, "A framework for the analysis of socioeconomic and geographic sugarcane agro industry sustainability," Socio-Economic Planning Sciences, Elsevier, volume 66, issue C, pages 149-160, DOI: 10.1016/j.seps.2018.07.006.
• Adrian Pagan & Tim Robinson, 2019, "Implications of Partial Information for Econometric Modeling of Macroeconomic Systems," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-41, Jun.
• Qazi Haque, 2019, "Monetary Policy, Inflation Target and the Great Moderation: An Empirical Investigation," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-44, Jun.
• Joshua C. C. Chan, 2019, "Asymmetric Conjugate Priors for Large Bayesian VARs," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-51, Jul.
• Joshua C. C. Chan, 2019, "Minnesota-Type Adaptive Hierarchical Priors for Large Bayesian VARs," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-61, Aug.
• Mariano Kulish & Adrian Pagan, 2019, "Turning Point and Oscillatory Cycles," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-74, Sep.
• Joshua C.C. Chan, 2019, "Large Hybrid Time-Varying Parameter VARs," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-77, Oct.
• Adrian Pagan & Michael Wickens, 2019, "Checking If the Straitjacket Fits," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2019-81, Nov.
• Hérault, Nicolas & Jenkins, Stephen P., 2019, "How valid are synthetic panel estimates of poverty dynamics?," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 100043, Apr.
• Schneider, Eric B., 2020, "Sample-selection biases and the historical growth pattern of children," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 100826, Sep.
• 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.
• Thompson, Erica L. & Smith, Leonard A., 2019, "Escape from model-land," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 103310, Oct.
• Bai Huang & Tae-Hwy Lee & Aman Ullah, 2019, "Stein-like Shrinkage Estimation of Panel Data Models with Common Correlated Effects," Advances in Econometrics, Emerald Group Publishing Limited, "Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part A", DOI: 10.1108/S0731-90532019000040A011.
• Wanglin Ma & Awudu Abdulai, 2018, "IPM adoption, cooperative membership and farm economic performance," China Agricultural Economic Review, Emerald Group Publishing Limited, volume 11, issue 2, pages 218-236, September, DOI: 10.1108/CAER-12-2017-0251.

2018

• Jingchen Ren & Xu Guo, 2018, "A Three-Arm Non-Inferiority Test For Heteroscedastic Data," Advances in Decision Sciences, Asia University, Taiwan, volume 22, issue 1, pages 279-307, December.
• Philip Hans Franses, 2018, "Prediction Intervals For Expert-Adjusted Forecasts," Advances in Decision Sciences, Asia University, Taiwan, volume 22, issue 1, pages 308-320, December.
• Emilio Zanetti Chini, 2018, "Forecaster’s utility and forecasts coherence," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-01, Jan.
• Torben G. Andersen & Nicola Fusari & Viktor Todorov & Rasmus T. Varneskov, 2018, "Unified Inference for Nonlinear Factor Models from Panels with Fixed and Large Time Span," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-03, Jan.
• Torben G. Andersen & Nicola Fusari & Viktor Todorov & Rasmus T. Varneskov, 2018, "Option Panels in Pure-Jump Settings," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-04, Jan.
• Torben G. Andersen & Martin Thyrsgaard & Viktor Todorov, 2018, "Time-Varying Periodicity in Intraday Volatility," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-05, Jan.
• Torben G. Andersen & Nicola Fusari & Viktor Todorov, 2018, "The Risk Premia Embedded in Index Options," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-07, Jan.
• Torben G. Andersen & Nicola Fusari & Viktor Todorov, 2018, "Short-Term Market Risks Implied by Weekly Options," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-08, Jan.
• Torben G. Andersen & Rasmus T. Varneskov, 2018, "Consistent Inference for Predictive Regressions in Persistent VAR Economies," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-09, Feb.
• Isabel Casas & Xiuping Mao & Helena Veiga, 2018, "Reexamining financial and economic predictability with new estimators of realized variance and variance risk premium," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-10, Mar.
• Emilio Zanetti Chini, 2018, "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-13, Mar.
• Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2018, "Models with Multiplicative Decomposition of Conditional Variances and Correlations," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-14, Apr.
• Changli He & Jian Kang & Timo Teräsvirta & Shuhua Zhang, 2018, "The Shifting Seasonal Mean Autoregressive Model and Seasonality in the Central England Monthly Temperature Series, 1772-2016," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-15, Apr.
• Sebastian Ankargren & Måns Unosson & Yukai Yang, 2018, "A mixed-frequency Bayesian vector autoregression with a steady-state prior," CREATES Research Papers, Department of Economics and Business Economics, Aarhus University, number 2018-32, Dec.
• Simplice A. Asongu & Nicholas M. Odhiambo, 2018, "Drivers of Growth in Fast Emerging Economies: a Dynamic Instrumental Quantile Approach to Real Output and its Rates of Growth in BRICS and MINT countries, 2001-2011," Research Africa Network Working Papers, Research Africa Network (RAN), number 18/013, Jan.
• Simplice A. Asongu & Nicholas M. Odhiambo, 2018, "Environmental Degradation and Inclusive Human Development in sub†Saharan Africa," Research Africa Network Working Papers, Research Africa Network (RAN), number 18/017, Jan.
• Simplice A. Asongu, 2018, "CO2 emission thresholds for inclusive human development in Sub-Saharan Africa," Research Africa Network Working Papers, Research Africa Network (RAN), number 18/023, Jan.
• Simplice A. Asongu & Jacinta C. Nwachukwu & Sara le Roux, 2018, "The role of inclusive development and military expenditure in modulating the effect of terrorism on governance," Research Africa Network Working Papers, Research Africa Network (RAN), number 18/026, Jan.
• Simplice A. Asongu & Jacinta C. Nwachukwu & Chris Pyke, 2018, "The Comparative Economics of ICT, Environmental Degradation and Inclusive Human Development in Sub-Saharan Africa," Research Africa Network Working Papers, Research Africa Network (RAN), number 18/037, Jan.
• Simplice A. Asongu & Uduak S. Akpan & Salisu R. Isihak, 2018, "Determinants of Foreign Direct Investment in Fast-Growing Economies: Evidence from the BRICS and MINT Countries," Research Africa Network Working Papers, Research Africa Network (RAN), number 18/038, Jan.
• Simplice A. Asongu & Jacinta Nwachukwu & Nicholas Biekpe, 2018, "Foreign Aid, Terrorism and Growth: Conditional Evidence from Quantile Regression," Research Africa Network Working Papers, Research Africa Network (RAN), number 18/045, Jan.
• Simplice A. Asongu & Vanessa S. Tchamyou & Ndemaze Asongu & Nina Tchamyou, 2018, "The Comparative African Economics of Governance in Fighting Terrorism," Research Africa Network Working Papers, Research Africa Network (RAN), number 18/055, Jan.
• Simplice A. Asongu & Nicholas M. Odhiambo, 2018, "Drivers of Growth in Fast Emerging Economies: a Dynamic Instrumental Quantile Approach to Real Output and its Rates of Growth in BRICS and MINT countries, 2001-2011," AFEA Working Papers, African Finance and Economic Association (AFEA), number 18/011, Jan.
• Simplice A. Asongu & Nicholas M. Odhiambo, 2018, "Environmental Degradation and Inclusive Human Development in sub†Saharan Africa," AFEA Working Papers, African Finance and Economic Association (AFEA), number 18/015, Jan.
• Simplice A. Asongu, 2018, "CO2 emission thresholds for inclusive human development in Sub-Saharan Africa," AFEA Working Papers, African Finance and Economic Association (AFEA), number 18/020, Jan.
• Simplice A. Asongu & Jacinta C. Nwachukwu & Sara le Roux, 2018, "The role of inclusive development and military expenditure in modulating the effect of terrorism on governance," AFEA Working Papers, African Finance and Economic Association (AFEA), number 18/022, Jan.
• Simplice A. Asongu & Jacinta C. Nwachukwu & Chris Pyke, 2018, "The Comparative Economics of ICT, Environmental Degradation and Inclusive Human Development in Sub-Saharan Africa," AFEA Working Papers, African Finance and Economic Association (AFEA), number 18/031, Jan.
• Simplice A. Asongu & Uduak S. Akpan & Salisu R. Isihak, 2018, "Determinants of Foreign Direct Investment in Fast-Growing Economies: Evidence from the BRICS and MINT Countries," AFEA Working Papers, African Finance and Economic Association (AFEA), number 18/032, Jan.
• Simplice A. Asongu & Jacinta C. Nwachukwu & Nicholas Biekpe, 2018, "Foreign Aid, Terrorism and Growth: Conditional Evidence from Quantile Regression," AFEA Working Papers, African Finance and Economic Association (AFEA), number 18/038, Jan.
• Simplice A. Asongu & Vanessa S. Tchamyou & Ndemaze Asongu & Nina Tchamyou, 2018, "The Comparative African Economics of Governance in Fighting Terrorism," AFEA Working Papers, African Finance and Economic Association (AFEA), number 18/046, Jan.
• Simplice Asongu & Nicholas Odhiambo, 2018, "Drivers of Growth in Fast Emerging Economies: a Dynamic Instrumental Quantile Approach to Real Output and its Rates of Growth in BRICS and MINT countries, 2001-2011," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 18/013, Jan.
• Simplice Asongu & Nicholas Odhiambo, 2018, "Environmental Degradation and Inclusive Human Development in sub‐Saharan Africa," Working Papers of the African Governance and Development Institute., African Governance and Development Institute., number 18/017, Jan.