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

• Doojav, Gan-Ochir & Kalirajan, Kaliappa, 2020, "Sources of energy productivity change in Australian sub-industries," Economic Analysis and Policy, Elsevier, volume 65, issue C, pages 1-10, DOI: 10.1016/j.eap.2019.11.001.
• Moradi-Motlagh, Amir & Jubb, Christine, 2020, "Examining irresponsible lending using non-radial inefficiency measures: Evidence from Australian banks," Economic Analysis and Policy, Elsevier, volume 66, issue C, pages 96-108, DOI: 10.1016/j.eap.2020.03.003.
• Polemis, Michael L. & Stengos, Thanasis, 2020, "The impact of regulatory quality on business venturing: A semi-parametric approach," Economic Analysis and Policy, Elsevier, volume 67, issue C, pages 29-36, DOI: 10.1016/j.eap.2020.05.005.
• Bonasia, Mariangela & Kounetas, Konstantinos & Oreste, Napolitano, 2020, "Assessment of regional productive performance of European health systems under a metatechnology framework," Economic Modelling, Elsevier, volume 84, issue C, pages 234-248, DOI: 10.1016/j.econmod.2019.04.013.
• Walheer, Barnabé & Zhang, Linjia & Luo, Yingchan, 2020, "Bidirectional technological spillover in the Chinese star-rated hotel sector: An empirical investigation," Economic Modelling, Elsevier, volume 86, issue C, pages 210-226, DOI: 10.1016/j.econmod.2019.06.013.
• Wang, Jiazhen & Jiang, Yuexiang & Zhu, Yanjian & Yu, Jing, 2020, "Prediction of volatility based on realized-GARCH-kernel-type models: Evidence from China and the U.S," Economic Modelling, Elsevier, volume 91, issue C, pages 428-444, DOI: 10.1016/j.econmod.2020.06.004.
• Zorgati, Imen & Lakhal, Faten, 2020, "Spatial contagion in the subprime crisis context: Adjusted correlation versus local correlation approaches," Economic Modelling, Elsevier, volume 92, issue C, pages 162-169, DOI: 10.1016/j.econmod.2019.12.015.
• Chen, Zhihong & Xia, Huizhu, 2020, "Trend instrumental variable regression with an application to the US New Keynesian Phillips Curve," Economic Modelling, Elsevier, volume 93, issue C, pages 595-604, DOI: 10.1016/j.econmod.2020.09.003.
• Gevrek, Z. Eylem & Gevrek, Deniz & Neumeier, Christian, 2020, "Explaining the gender gaps in mathematics achievement and attitudes: The role of societal gender equality," Economics of Education Review, Elsevier, volume 76, issue C, DOI: 10.1016/j.econedurev.2020.101978.
• Fong, Tom Pak Wing & Wu, Shui Tang, 2020, "Predictability in sovereign bond returns using technical trading rules: Do developed and emerging markets differ?," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2019.101105.
• Yang, Yan-Hong & Shao, Ying-Hui, 2020, "Time-dependent lead-lag relationships between the VIX and VIX futures markets," The North American Journal of Economics and Finance, Elsevier, volume 53, issue C, DOI: 10.1016/j.najef.2020.101196.
• Cortés, Lina M. & Mora-Valencia, Andrés & Perote, Javier, 2020, "Retrieving the implicit risk neutral density of WTI options with a semi-nonparametric approach," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2018.10.010.
• Liao, Wen Ju & Sung, Hao-Chang, 2020, "Implied risk aversion and pricing kernel in the FTSE 100 index," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2018.08.009.
• Crudu, Federico & Osorio, Felipe, 2020, "Bilinear form test statistics for extremum estimation," Economics Letters, Elsevier, volume 187, issue C, DOI: 10.1016/j.econlet.2019.108885.
• Lin, Yingqian & Tu, Yundong, 2020, "Sieve extremum estimation of a semiparametric transformation model," Economics Letters, Elsevier, volume 189, issue C, DOI: 10.1016/j.econlet.2020.109020.
• Wang, Shaoping & Li, Ang & Wen, Kuangyu & Wu, Ximing, 2020, "Robust kernels for kernel density estimation," Economics Letters, Elsevier, volume 191, issue C, DOI: 10.1016/j.econlet.2020.109138.
• Polemis, Michael L. & Stengos, Thanasis & Tzeremes, Nickolaos G., 2020, "Advertising expenses and operational performance: Evidence from the global hotel industry," Economics Letters, Elsevier, volume 192, issue C, DOI: 10.1016/j.econlet.2020.109220.
• Kapetanios, George & Millard, Stephen & Petrova, Katerina & Price, Simon, 2020, "Time-varying cointegration with an application to the UK Great Ratios," Economics Letters, Elsevier, volume 193, issue C, DOI: 10.1016/j.econlet.2020.109213.
• Ouyang, Fu & Yang, Thomas Tao & Zhang, Hanghui, 2020, "Semiparametric identification and estimation of discrete choice models for bundles," Economics Letters, Elsevier, volume 193, issue C, DOI: 10.1016/j.econlet.2020.109321.
• Mayer, Alexander, 2020, "(Consistently) testing strict exogeneity against the alternative of predeterminedness in linear time-series models," Economics Letters, Elsevier, volume 193, issue C, DOI: 10.1016/j.econlet.2020.109335.
• Fang, Ying & Tang, Shengfang & Cai, Zongwu & Lin, Ming, 2020, "An alternative test for conditional unconfoundedness using auxiliary variables," Economics Letters, Elsevier, volume 194, issue C, DOI: 10.1016/j.econlet.2020.109320.
• Zhang, Feipeng & Yang, Jiejing & Ye, Min, 2020, "A nonparametric maximum likelihood estimation for biased-sampling data with zero-inflated truncation," Economics Letters, Elsevier, volume 194, issue C, DOI: 10.1016/j.econlet.2020.109399.
• Dal Bianco, Chiara & Maura, Francesco, 2020, "Education and persistence of earnings shocks," Economics Letters, Elsevier, volume 196, issue C, DOI: 10.1016/j.econlet.2020.109527.
• Zhang, Erhua & Wu, Jilin, 2020, "Adaptive estimation of AR∞ models with time-varying variances," Economics Letters, Elsevier, volume 197, issue C, DOI: 10.1016/j.econlet.2020.109641.
• Chang, Yoosoon & Kaufmann, Robert K. & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2020, "Evaluating trends in time series of distributions: A spatial fingerprint of human effects on climate," Journal of Econometrics, Elsevier, volume 214, issue 1, pages 274-294, DOI: 10.1016/j.jeconom.2019.05.014.
• Friedrich, Marina & Smeekes, Stephan & Urbain, Jean-Pierre, 2020, "Autoregressive wild bootstrap inference for nonparametric trends," Journal of Econometrics, Elsevier, volume 214, issue 1, pages 81-109, DOI: 10.1016/j.jeconom.2019.05.006.
• Dalderop, Jeroen, 2020, "Nonparametric filtering of conditional state-price densities," Journal of Econometrics, Elsevier, volume 214, issue 2, pages 295-325, DOI: 10.1016/j.jeconom.2019.05.022.
• Almeida, Caio & Ardison, Kym & Garcia, René, 2020, "Nonparametric assessment of hedge fund performance," Journal of Econometrics, Elsevier, volume 214, issue 2, pages 349-378, DOI: 10.1016/j.jeconom.2019.08.002.
• Fan, Yanqin & Han, Fang & Li, Wei & Zhou, Xiao-Hua, 2020, "On rank estimators in increasing dimensions," Journal of Econometrics, Elsevier, volume 214, issue 2, pages 379-412, DOI: 10.1016/j.jeconom.2019.08.003.
• Hounyo, Ulrich & Varneskov, Rasmus T., 2020, "Inference for local distributions at high sampling frequencies: A bootstrap approach," Journal of Econometrics, Elsevier, volume 215, issue 1, pages 1-34, DOI: 10.1016/j.jeconom.2019.09.001.
• Adusumilli, Karun & Kurisu, Daisuke & Otsu, Taisuke & Whang, Yoon-Jae, 2020, "Inference on distribution functions under measurement error," Journal of Econometrics, Elsevier, volume 215, issue 1, pages 131-164, DOI: 10.1016/j.jeconom.2019.09.002.
• Chen, Songnian & Wang, Qian, 2020, "Semiparametric estimation of a censored regression model with endogeneity," Journal of Econometrics, Elsevier, volume 215, issue 1, pages 239-256, DOI: 10.1016/j.jeconom.2019.08.006.
• Williams, Benjamin, 2020, "Nonparametric identification of discrete choice models with lagged dependent variables," Journal of Econometrics, Elsevier, volume 215, issue 1, pages 286-304, DOI: 10.1016/j.jeconom.2019.08.005.
• Lu, Xiaohui & Zheng, Xu, 2020, "A goodness-of-fit test for copulas based on martingale transformation," Journal of Econometrics, Elsevier, volume 215, issue 1, pages 84-117, DOI: 10.1016/j.jeconom.2019.08.007.
• Chen, Songnian & Zhang, Hanghui, 2020, "n-prediction of generalized heteroscedastic transformation regression models," Journal of Econometrics, Elsevier, volume 215, issue 2, pages 305-340, DOI: 10.1016/j.jeconom.2019.09.003.
• Hu, Yingyao & Huang, Guofang & Sasaki, Yuya, 2020, "Estimating production functions with robustness against errors in the proxy variables," Journal of Econometrics, Elsevier, volume 215, issue 2, pages 375-398, DOI: 10.1016/j.jeconom.2019.05.024.
• Gao, Wayne Yuan, 2020, "Nonparametric identification in index models of link formation," Journal of Econometrics, Elsevier, volume 215, issue 2, pages 399-413, DOI: 10.1016/j.jeconom.2019.09.005.
• Li, Z. Merrick & Laeven, Roger J.A. & Vellekoop, Michel H., 2020, "Dependent microstructure noise and integrated volatility estimation from high-frequency data," Journal of Econometrics, Elsevier, volume 215, issue 2, pages 536-558, DOI: 10.1016/j.jeconom.2019.10.004.
• Lin, Yingqian & Tu, Yundong & Yao, Qiwei, 2020, "Estimation for double-nonlinear cointegration," Journal of Econometrics, Elsevier, volume 216, issue 1, pages 175-191, DOI: 10.1016/j.jeconom.2020.01.012.
• Yang, Jui-Chung & Chuang, Hui-Ching & Kuan, Chung-Ming, 2020, "Double machine learning with gradient boosting and its application to the Big N audit quality effect," Journal of Econometrics, Elsevier, volume 216, issue 1, pages 268-283, DOI: 10.1016/j.jeconom.2020.01.018.
• Vogt, Michael & Linton, Oliver, 2020, "Multiscale clustering of nonparametric regression curves," Journal of Econometrics, Elsevier, volume 216, issue 1, pages 305-325, DOI: 10.1016/j.jeconom.2020.01.020.
• Aït-Sahalia, Yacine & Kalnina, Ilze & Xiu, Dacheng, 2020, "High-frequency factor models and regressions," Journal of Econometrics, Elsevier, volume 216, issue 1, pages 86-105, DOI: 10.1016/j.jeconom.2020.01.007.
• Luo, Yao, 2020, "Unobserved heterogeneity in auctions under restricted stochastic dominance," Journal of Econometrics, Elsevier, volume 216, issue 2, pages 354-374, DOI: 10.1016/j.jeconom.2019.07.009.
• Lee, Jungyoon & Robinson, Peter M., 2020, "Adaptive inference on pure spatial models," Journal of Econometrics, Elsevier, volume 216, issue 2, pages 375-393, DOI: 10.1016/j.jeconom.2019.10.006.
• Botosaru, Irene, 2020, "Nonparametric analysis of a duration model with stochastic unobserved heterogeneity," Journal of Econometrics, Elsevier, volume 217, issue 1, pages 112-139, DOI: 10.1016/j.jeconom.2019.06.006.
• Gold, David & Lederer, Johannes & Tao, Jing, 2020, "Inference for high-dimensional instrumental variables regression," Journal of Econometrics, Elsevier, volume 217, issue 1, pages 79-111, DOI: 10.1016/j.jeconom.2019.09.009.
• Laurent, Sébastien & Shi, Shuping, 2020, "Volatility estimation and jump detection for drift–diffusion processes," Journal of Econometrics, Elsevier, volume 217, issue 2, pages 259-290, DOI: 10.1016/j.jeconom.2019.12.004.
• Arvanitis, Stelios & Scaillet, Olivier & Topaloglou, Nikolas, 2020, "Spanning tests for Markowitz stochastic dominance," Journal of Econometrics, Elsevier, volume 217, issue 2, pages 291-311, DOI: 10.1016/j.jeconom.2019.12.005.
• Lettau, Martin & Pelger, Markus, 2020, "Estimating latent asset-pricing factors," Journal of Econometrics, Elsevier, volume 218, issue 1, pages 1-31, DOI: 10.1016/j.jeconom.2019.08.012.
• Fan, Jianqing & Feng, Yang & Xia, Lucy, 2020, "A projection-based conditional dependence measure with applications to high-dimensional undirected graphical models," Journal of Econometrics, Elsevier, volume 218, issue 1, pages 119-139, DOI: 10.1016/j.jeconom.2019.12.016.
• Martínez-Iriarte, Julián & Sun, Yixiao & Wang, Xuexin, 2020, "Asymptotic F tests under possibly weak identification," Journal of Econometrics, Elsevier, volume 218, issue 1, pages 140-177, DOI: 10.1016/j.jeconom.2019.10.011.
• Bertanha, Marinho, 2020, "Regression discontinuity design with many thresholds," Journal of Econometrics, Elsevier, volume 218, issue 1, pages 216-241, DOI: 10.1016/j.jeconom.2019.09.010.
• Bertanha, Marinho & Moreira, Marcelo J., 2020, "Impossible inference in econometrics: Theory and applications," Journal of Econometrics, Elsevier, volume 218, issue 2, pages 247-270, DOI: 10.1016/j.jeconom.2020.04.016.
• Xu, Ke-Li, 2020, "Inference of local regression in the presence of nuisance parameters," Journal of Econometrics, Elsevier, volume 218, issue 2, pages 532-560, DOI: 10.1016/j.jeconom.2020.04.028.
• Tuvaandorj, Purevdorj, 2020, "Regression discontinuity designs, white noise models, and minimax," Journal of Econometrics, Elsevier, volume 218, issue 2, pages 587-608, DOI: 10.1016/j.jeconom.2020.04.030.
• Hallin, Marc & La Vecchia, Davide, 2020, "A Simple R-estimation method for semiparametric duration models," Journal of Econometrics, Elsevier, volume 218, issue 2, pages 736-749, DOI: 10.1016/j.jeconom.2020.04.036.
• Gimenes, Nathalie & Guerre, Emmanuel, 2020, "Nonparametric identification of an interdependent value model with buyer covariates from first-price auction bids," Journal of Econometrics, Elsevier, volume 219, issue 1, pages 1-18, DOI: 10.1016/j.jeconom.2019.12.018.
• Sun, Yixiao & Yang, Jingjing, 2020, "Testing-optimal kernel choice in HAR inference," Journal of Econometrics, Elsevier, volume 219, issue 1, pages 123-136, DOI: 10.1016/j.jeconom.2020.06.007.
• Li, Jia & Liao, Zhipeng, 2020, "Uniform nonparametric inference for time series," Journal of Econometrics, Elsevier, volume 219, issue 1, pages 38-51, DOI: 10.1016/j.jeconom.2019.09.011.
• Lin, Yingqian & Tu, Yundong, 2020, "Robust inference for spurious regressions and cointegrations involving processes moderately deviated from a unit root," Journal of Econometrics, Elsevier, volume 219, issue 1, pages 52-65, DOI: 10.1016/j.jeconom.2020.04.038.
• Dalla, Violetta & Giraitis, Liudas & Robinson, Peter M., 2020, "Asymptotic theory for time series with changing mean and variance," Journal of Econometrics, Elsevier, volume 219, issue 2, pages 281-313, DOI: 10.1016/j.jeconom.2020.03.005.
• Gao, Jiti & Xia, Kai & Zhu, Huanjun, 2020, "Heterogeneous panel data models with cross-sectional dependence," Journal of Econometrics, Elsevier, volume 219, issue 2, pages 329-353, DOI: 10.1016/j.jeconom.2020.03.007.
• King, Maxwell L. & Zhang, Xibin & Akram, Muhammad, 2020, "Hypothesis testing based on a vector of statistics," Journal of Econometrics, Elsevier, volume 219, issue 2, pages 425-455, DOI: 10.1016/j.jeconom.2020.03.010.
• Daouia, Abdelaati & Florens, Jean-Pierre & Simar, Léopold, 2020, "Robust frontier estimation from noisy data: A Tikhonov regularization approach," Econometrics and Statistics, Elsevier, volume 14, issue C, pages 1-23, DOI: 10.1016/j.ecosta.2018.07.003.
• Kourtellos, Andros & Marr, Christa & Tan, Chih Ming, 2020, "Local Intergenerational Mobility," European Economic Review, Elsevier, volume 126, issue C, DOI: 10.1016/j.euroecorev.2020.103460.
• Cherchye, Laurens & De Rock, Bram & Griffith, Rachel & O’Connell, Martin & Smith, Kate & Vermeulen, Frederic, 2020, "A new year, a new you? Within-individual variation in food purchases," European Economic Review, Elsevier, volume 127, issue C, DOI: 10.1016/j.euroecorev.2020.103478.
• Jones, Andrew M. & Rice, Nigel & Zantomio, Francesca, 2020, "Acute health shocks and labour market outcomes: Evidence from the post crash era," Economics & Human Biology, Elsevier, volume 36, issue C, DOI: 10.1016/j.ehb.2019.100811.
• Liddle, Brantley & Smyth, Russell & Zhang, Xibin, 2020, "Time-varying income and price elasticities for energy demand: Evidence from a middle-income panel," Energy Economics, Elsevier, volume 86, issue C, DOI: 10.1016/j.eneco.2020.104681.
• Uddin, Md. Main & Mishra, Vinod & Smyth, Russell, 2020, "Income inequality and CO2 emissions in the G7, 1870–2014: Evidence from non-parametric modelling," Energy Economics, Elsevier, volume 88, issue C, DOI: 10.1016/j.eneco.2020.104780.
• Zhu, Bo & Lin, Renda & Liu, Jiahao, 2020, "Magnitude and persistence of extreme risk spillovers in the global energy market: A high-dimensional left-tail interdependence perspective," Energy Economics, Elsevier, volume 89, issue C, DOI: 10.1016/j.eneco.2020.104761.
• Shahbaz, Muhammad & Shafiullah, Muhammad & Khalid, Usman & Song, Malin, 2020, "A nonparametric analysis of energy environmental Kuznets Curve in Chinese Provinces," Energy Economics, Elsevier, volume 89, issue C, DOI: 10.1016/j.eneco.2020.104814.
• Boako, Gideon & Alagidede, Imhotep Paul & Sjo, Bo & Uddin, Gazi Salah, 2020, "Commodities price cycles and their interdependence with equity markets," Energy Economics, Elsevier, volume 91, issue C, DOI: 10.1016/j.eneco.2020.104884.
• Trespalacios, Alfredo & Cortés, Lina M. & Perote, Javier, 2020, "Uncertainty in electricity markets from a semi-nonparametric approach," Energy Policy, Elsevier, volume 137, issue C, DOI: 10.1016/j.enpol.2019.111091.
• Pereira Domingues Martinho, Vítor João, 2020, "Comparative analysis of energy costs on farms in the European Union: A nonparametric approach," Energy, Elsevier, volume 195, issue C, DOI: 10.1016/j.energy.2020.116953.
• Proelss, Juliane & Schweizer, Denis & Seiler, Volker, 2020, "The economic importance of rare earth elements volatility forecasts," International Review of Financial Analysis, Elsevier, volume 71, issue C, DOI: 10.1016/j.irfa.2019.01.010.
• Wang, Jying-Nan & Liu, Hung-Chun & Hsu, Yuan-Teng, 2020, "Time-of-day periodicities of trading volume and volatility in Bitcoin exchange: Does the stock market matter?," Finance Research Letters, Elsevier, volume 34, issue C, DOI: 10.1016/j.frl.2019.07.016.
• Egbendewe, Aklesso Y.G. & Oloufade, Djoulassi K., 2020, "Good institutions and banking sector competitiveness: A semi-parametric evidence," Finance Research Letters, Elsevier, volume 36, issue C, DOI: 10.1016/j.frl.2019.101342.
• Polemis, Michael L. & Stengos, Thanasis & Tzeremes, Nickolaos G., 2020, "Revisiting the impact of financial depth on growth: A semi-parametric approach," Finance Research Letters, Elsevier, volume 36, issue C, DOI: 10.1016/j.frl.2019.101322.
• Lee, Suzanne S. & Wang, Minho, 2020, "Tales of tails: Jumps in currency markets," Journal of Financial Markets, Elsevier, volume 48, issue C, DOI: 10.1016/j.finmar.2019.05.002.
• Aryal, Gaurab & Gabrielli, Maria F., 2020, "An empirical analysis of competitive nonlinear pricing," International Journal of Industrial Organization, Elsevier, volume 68, issue C, DOI: 10.1016/j.ijindorg.2019.102538.
• Ćmiel, Bogdan & Ledwina, Teresa, 2020, "Validation of association," Insurance: Mathematics and Economics, Elsevier, volume 91, issue C, pages 55-67, DOI: 10.1016/j.insmatheco.2019.12.003.
• Huang, Yifan & Meng, Shengwang, 2020, "A Bayesian nonparametric model and its application in insurance loss prediction," Insurance: Mathematics and Economics, Elsevier, volume 93, issue C, pages 84-94, DOI: 10.1016/j.insmatheco.2020.04.010.
• de Jong, Piet & Tickle, Leonie & Xu, Jianhui, 2020, "A more meaningful parameterization of the Lee–Carter model," Insurance: Mathematics and Economics, Elsevier, volume 94, issue C, pages 1-8, DOI: 10.1016/j.insmatheco.2020.05.009.
• Pinquet, Jean, 2020, "Positivity properties of the ARFIMA(0,d,0) specifications and credibility analysis of frequency risks," Insurance: Mathematics and Economics, Elsevier, volume 95, issue C, pages 159-165, DOI: 10.1016/j.insmatheco.2020.10.001.
• Saldaña-Zepeda, Dayna P. & Velasco-Cruz, Ciro & Torres-Preciado, Víctor H., 2020, "Mexican peso-USD exchange rate: A switching linear dynamical model application," International Economics, Elsevier, volume 162, issue C, pages 80-91, DOI: 10.1016/j.inteco.2020.01.001.
• Borgards, Oliver & Czudaj, Robert L., 2020, "The prevalence of price overreactions in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 65, issue C, DOI: 10.1016/j.intfin.2020.101194.
• Montero-Manso, Pablo & Athanasopoulos, George & Hyndman, Rob J. & Talagala, Thiyanga S., 2020, "FFORMA: Feature-based forecast model averaging," International Journal of Forecasting, Elsevier, volume 36, issue 1, pages 86-92, DOI: 10.1016/j.ijforecast.2019.02.011.
• Marcjasz, Grzegorz & Uniejewski, Bartosz & Weron, Rafał, 2020, "Probabilistic electricity price forecasting with NARX networks: Combine point or probabilistic forecasts?," International Journal of Forecasting, Elsevier, volume 36, issue 2, pages 466-479, DOI: 10.1016/j.ijforecast.2019.07.002.
• Alexakis, Panayotis D. & Samantas, Ioannis G., 2020, "Foreign ownership and market power: The special case of European banks," Journal of Banking & Finance, Elsevier, volume 118, issue C, DOI: 10.1016/j.jbankfin.2020.105857.
• Broadstock, David C. & Matousek, Roman & Meyer, Martin & Tzeremes, Nickolaos G., 2020, "Does corporate social responsibility impact firms' innovation capacity? The indirect link between environmental & social governance implementation and innovation performance," Journal of Business Research, Elsevier, volume 119, issue C, pages 99-110, DOI: 10.1016/j.jbusres.2019.07.014.
• Egger, Peter H. & Ehrlich, Maximilian v. & Nelson, Douglas R., 2020, "The trade effects of skilled versus unskilled migration," Journal of Comparative Economics, Elsevier, volume 48, issue 2, pages 448-464, DOI: 10.1016/j.jce.2019.12.008.
• Engel, Christoph, 2020, "Estimating heterogeneous reactions to experimental treatments," Journal of Economic Behavior & Organization, Elsevier, volume 178, issue C, pages 124-147, DOI: 10.1016/j.jebo.2020.07.011.
• Dziewulski, Paweł, 2020, "Just-noticeable difference as a behavioural foundation of the critical cost-efficiency index," Journal of Economic Theory, Elsevier, volume 188, issue C, DOI: 10.1016/j.jet.2020.105071.
• Foglia, Matteo & Angelini, Eliana, 2020, "The diabolical sovereigns/banks risk loop: A VAR quantile design," The Journal of Economic Asymmetries, Elsevier, volume 21, issue C, DOI: 10.1016/j.jeca.2020.e00158.
• Fousekis, Panos, 2020, "Sign and size asymmetry in the stock returns-implied volatility relationship," The Journal of Economic Asymmetries, Elsevier, volume 21, issue C, DOI: 10.1016/j.jeca.2020.e00162.
• Lagravinese, Raffaele & Liberati, Paolo & Resce, Giuliano, 2020, "The impact of economic, social and cultural conditions on educational attainments," Journal of Policy Modeling, Elsevier, volume 42, issue 1, pages 112-132, DOI: 10.1016/j.jpolmod.2019.03.007.
• Gupta, Maansi & Bolia, Nomesh B., 2020, "Efficiency measurement of Indian high courts using DEA: A policy perspective," Journal of Policy Modeling, Elsevier, volume 42, issue 6, pages 1372-1393, DOI: 10.1016/j.jpolmod.2020.06.002.
• Gala, Vito D. & Gomes, Joao F. & Liu, Tong, 2020, "Investment without Q," Journal of Monetary Economics, Elsevier, volume 116, issue C, pages 266-282, DOI: 10.1016/j.jmoneco.2019.10.014.
• Huang, Jinbo & Ding, Ashley & Li, Yong & Lu, Dong, 2020, "Increasing the risk management effectiveness from higher accuracy: A novel non-parametric method," Pacific-Basin Finance Journal, Elsevier, volume 62, issue C, DOI: 10.1016/j.pacfin.2020.101373.
• Fan, John Hua & Fernandez-Perez, Adrian & Indriawan, Ivan & Todorova, Neda, 2020, "Internationalization of futures markets: Lessons from China," Pacific-Basin Finance Journal, Elsevier, volume 63, issue C, DOI: 10.1016/j.pacfin.2020.101429.
• Owusu Junior, Peterson & Alagidede, Imhotep, 2020, "Risks in emerging markets equities: Time-varying versus spatial risk analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, volume 542, issue C, DOI: 10.1016/j.physa.2019.123474.
• Vera-Gilces, Paul & Camino-Mogro, Segundo & Ordeñana-Rodríguez, Xavier & Cornejo-Marcos, Gino, 2020, "A look inside banking profitability: Evidence from a dollarized emerging country," The Quarterly Review of Economics and Finance, Elsevier, volume 75, issue C, pages 147-166, DOI: 10.1016/j.qref.2019.05.002.
• Clark, Ephraim & Qiao, Zhuo, 2020, "The value premium puzzle, behavior versus risk: New evidence from China," The Quarterly Review of Economics and Finance, Elsevier, volume 76, issue C, pages 12-21, DOI: 10.1016/j.qref.2019.04.007.
• Moreira, Ricardo Ramalhete & Monte, Edson Zambon, 2020, "Reviewing monetary policy inertia and its effects: The fractional integration approach for an emerging economy," The Quarterly Review of Economics and Finance, Elsevier, volume 78, issue C, pages 34-41, DOI: 10.1016/j.qref.2020.05.006.
• Dimitriou, Dimitrios & Kenourgios, Dimitris & Simos, Theodore, 2020, "Are there any other safe haven assets? Evidence for “exotic” and alternative assets," International Review of Economics & Finance, Elsevier, volume 69, issue C, pages 614-628, DOI: 10.1016/j.iref.2020.07.002.
• Kočenda, Evžen & Iwasaki, Ichiro, 2020, "Bank survival in Central and Eastern Europe," International Review of Economics & Finance, Elsevier, volume 69, issue C, pages 860-878, DOI: 10.1016/j.iref.2020.06.020.
• Torun, Erdost & Chang, Tzu-Pu & Chou, Ray Y., 2020, "Causal relationship between spot and futures prices with multiple time horizons: A nonparametric wavelet Granger causality test," Research in International Business and Finance, Elsevier, volume 52, issue C, DOI: 10.1016/j.ribaf.2019.101115.
• Valiyattoor, Vipin & Bhandari, Anup Kumar, 2020, "Outsourcing and firm performance nexus: An analysis using the conventional and panel double-bootstrap procedure," Research in International Business and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.ribaf.2020.101279.
• Guccio, Calogero & Martorana, Marco & Mazza, Isidoro & Pignataro, Giacomo & Rizzo, Ilde, 2020, "An analysis of the managerial performance of Italian museums using a generalised conditional efficiency model," Socio-Economic Planning Sciences, Elsevier, volume 72, issue C, DOI: 10.1016/j.seps.2020.100891.
• Demidova, Olga & Kolyagina, Alena & Pastore, Francesco, 2020, "Marshallian vs Jacobs effects: Which is stronger? Evidence for Russia unemployment dynamics," Structural Change and Economic Dynamics, Elsevier, volume 55, issue C, pages 244-258, DOI: 10.1016/j.strueco.2020.07.010.
• Elisha Mavodyo, 2020, "A Revival of Budget Deficit and Economic Growth," EERI Research Paper Series, Economics and Econometrics Research Institute (EERI), Brussels, number EERI RP 2020/04, Apr.
• Victor Pontines & Davaajargal Luvsannyam & Enkhjin Atarbaatar & Ulziikhutag Munkhtsetseg, 2020, "The effectiveness of currency intervention in a commodity-exporter: Evidence from Mongolia," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2020-31, Mar.
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• Oparina, Ekaterina & Srisuma, Sorawoot, 2022, "Analyzing subjective well-being data with misclassification," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 108543, Apr.
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• Hardik Marfatia, 2020, "Time-frequency linkages of international housing markets and macroeconomic drivers," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, volume 14, issue 4, pages 652-679, November, DOI: 10.1108/IJHMA-05-2020-0055.
• Saravanan Venkadasalam & Azhar Mohamad & Imtiaz Mohammad Sifat, 2020, "Operational efficiency of shipping companies," International Journal of Emerging Markets, Emerald Group Publishing Limited, volume 15, issue 5, pages 875-897, March, DOI: 10.1108/IJOEM-07-2019-0493.
• Victor Rodrigues de Oliveira & Wallace Patrick Santos de Farias Souza & Giácomo Balbinotto Neto & Paulo de Andrade Jacinto, 2020, "Understanding personal contacts: an analysis for metropolitan BrazilḌ," Journal of Economic Studies, Emerald Group Publishing Limited, volume 47, issue 1, pages 64-90, March, DOI: 10.1108/JES-06-2018-0201.
• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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• 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.
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