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

2023

• S. Firpo & A. Galvao & M. Kobus & T. Parker & P. Rosa-Dias, 2023, "Loss aversion and the welfare ranking of policy interventions," Working Papers, Institute of Economics, Polish Academy of Sciences, number 53, Mar.
• Christophe Musitelli Boya, 2023, "Testing the Adaptive Market Hypothesis through the Presence of Dependence in the Swiss Stock Exchange," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, volume 69, issue 2, pages 61-80, DOI: 10.3790/aeq.69.2.61.
• Nadine Levratto & Mounir Amdaoud, 2023, "Territoires d’industrie : hétérogénéité et convergence ?," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2023-10.
• Chavleishvili, Sulkhan & Kremer, Manfred, 2023, "Measuring systemic financial stress and its risks for growth," Working Paper Series, European Central Bank, number 2842, Aug.
• Jesus Cuauhtemoc Tellez Gaytan & Aqila Rafiuddin & Gyanendra Singh Sisodia & Gouher Ahmed & CH Paramaiah, 2023, "Pass-through Effects of Oil Prices on LATAM Emerging Stocks before and during COVID-19: An Evidence from a Wavelet -VAR Analysis," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 1, pages 529-543, January.
• Hjertstrand, Per & Swofford, James L. & Whitney, Gerald A., 2023, "Testing for Weak Separability and Utility Maximization with Incomplete Adjustment," Journal of Economic Dynamics and Control, Elsevier, volume 152, issue C, DOI: 10.1016/j.jedc.2023.104671.
• Portella-Carbó, Ferran & Pérez-Montiel, Jose & Ozcelebi, Oguzhan, 2023, "Tourism-led economic growth across the business cycle: Evidence from Europe (1995–2021)," Economic Analysis and Policy, Elsevier, volume 78, issue C, pages 1241-1253, DOI: 10.1016/j.eap.2023.05.011.
• Gearhart, Richard & Michieka, Nyakundi & Anders, Anne, 2023, "The effectiveness of COVID deaths to COVID policies: A robust conditional approach," Economic Analysis and Policy, Elsevier, volume 79, issue C, pages 376-394, DOI: 10.1016/j.eap.2023.06.026.
• Das, Monica & Basu, Sudip R., 2023, "Inclusive bank based financial development in countries with special needs: A semiparametric analysis," Economic Analysis and Policy, Elsevier, volume 80, issue C, pages 740-753, DOI: 10.1016/j.eap.2023.09.012.
• Zhang, Chuanhai & Zhang, Zhengjun & Xu, Mengyu & Peng, Zhe, 2023, "Good and bad self-excitation: Asymmetric self-exciting jumps in Bitcoin returns," Economic Modelling, Elsevier, volume 119, issue C, DOI: 10.1016/j.econmod.2022.106124.
• Bandyopadhyay, Simanti & Kabiraj, Sujana & Majumder, Subrata, 2023, "Subnational governments and COVID management," Economic Modelling, Elsevier, volume 124, issue C, DOI: 10.1016/j.econmod.2023.106299.
• Dridi, Ichrak & Boughrara, Adel, 2023, "Flexible inflation targeting and stock market volatility: Evidence from emerging market economies," Economic Modelling, Elsevier, volume 126, issue C, DOI: 10.1016/j.econmod.2023.106420.
• Goller, Daniel & Diem, Andrea & Wolter, Stefan C., 2023, "Sitting next to a dropout: Academic success of students with more educated peers," Economics of Education Review, Elsevier, volume 93, issue C, DOI: 10.1016/j.econedurev.2023.102372.
• Wang, Jying-Nan & Lee, Yen-Hsien & Liu, Hung-Chun & Hsu, Yuan-Teng, 2023, "Dissecting returns of non-fungible tokens (NFTs): Evidence from CryptoPunks," The North American Journal of Economics and Finance, Elsevier, volume 65, issue C, DOI: 10.1016/j.najef.2023.101892.
• Yu, Deshui & Chen, Li & Li, Luyang, 2023, "Time-varying predictability of the long horizon equity premium based on semiparametric regressions," Economics Letters, Elsevier, volume 224, issue C, DOI: 10.1016/j.econlet.2023.111033.
• Yu, Deshui & Chen, Li & Li, Luyang, 2023, "Nonparametric modeling for the time-varying persistence of inflation," Economics Letters, Elsevier, volume 225, issue C, DOI: 10.1016/j.econlet.2023.111040.
• Lee, Sungwon, 2023, "Efficient estimation of a triangular system of equations for quantile regression," Economics Letters, Elsevier, volume 226, issue C, DOI: 10.1016/j.econlet.2023.111085.
• Liu, Weiqiang, 2023, "A consistent nonparametric test for the structure change in quantile regression," Economics Letters, Elsevier, volume 228, issue C, DOI: 10.1016/j.econlet.2023.111161.
• Hahn, Jinyong & Liao, Zhipeng & Ridder, Geert & Shi, Ruoyao, 2023, "The influence function of semiparametric two-step estimators with estimated control variables," Economics Letters, Elsevier, volume 231, issue C, DOI: 10.1016/j.econlet.2023.111277.
• Zhu, Xun & Jin, Zequn, 2023, "Some identification results in a correlated random coefficients sample selection model," Economics Letters, Elsevier, volume 233, issue C, DOI: 10.1016/j.econlet.2023.111392.
• Jiang, Hongyi & Sun, Zhenting, 2023, "Testing partial instrument monotonicity," Economics Letters, Elsevier, volume 233, issue C, DOI: 10.1016/j.econlet.2023.111400.
• Dong, Chaohua & Gao, Jiti & Linton, Oliver, 2023, "High dimensional semiparametric moment restriction models," Journal of Econometrics, Elsevier, volume 232, issue 2, pages 320-345, DOI: 10.1016/j.jeconom.2021.07.004.
• Phillips, Peter C.B. & Wang, Ying, 2023, "When bias contributes to variance: True limit theory in functional coefficient cointegrating regression," Journal of Econometrics, Elsevier, volume 232, issue 2, pages 469-489, DOI: 10.1016/j.jeconom.2021.09.007.
• Botosaru, Irene & Muris, Chris & Pendakur, Krishna, 2023, "Identification of time-varying transformation models with fixed effects, with an application to unobserved heterogeneity in resource shares," Journal of Econometrics, Elsevier, volume 232, issue 2, pages 576-597, DOI: 10.1016/j.jeconom.2021.11.006.
• Xiong, Ruoxuan & Pelger, Markus, 2023, "Large dimensional latent factor modeling with missing observations and applications to causal inference," Journal of Econometrics, Elsevier, volume 233, issue 1, pages 271-301, DOI: 10.1016/j.jeconom.2022.04.005.
• Fu, Zhonghao & Hong, Yongmiao & Wang, Xia, 2023, "Testing for structural changes in large dimensional factor models via discrete Fourier transform," Journal of Econometrics, Elsevier, volume 233, issue 1, pages 302-331, DOI: 10.1016/j.jeconom.2022.06.005.
• Escanciano, Juan Carlos, 2023, "Irregular identification of structural models with nonparametric unobserved heterogeneity," Journal of Econometrics, Elsevier, volume 234, issue 1, pages 106-127, DOI: 10.1016/j.jeconom.2021.11.016.
• Chen, Songnian & Wang, Qian, 2023, "Quantile regression with censoring and sample selection," Journal of Econometrics, Elsevier, volume 234, issue 1, pages 205-226, DOI: 10.1016/j.jeconom.2021.11.018.
• Babii, Andrii & Kumar, Rohit, 2023, "Isotonic regression discontinuity designs," Journal of Econometrics, Elsevier, volume 234, issue 2, pages 371-393, DOI: 10.1016/j.jeconom.2021.01.008.
• Sasaki, Yuya & Ura, Takuya, 2023, "Estimation and inference for policy relevant treatment effects," Journal of Econometrics, Elsevier, volume 234, issue 2, pages 394-450, DOI: 10.1016/j.jeconom.2021.03.015.
• Kédagni, Désiré, 2023, "Identifying treatment effects in the presence of confounded types," Journal of Econometrics, Elsevier, volume 234, issue 2, pages 479-511, DOI: 10.1016/j.jeconom.2021.01.012.
• Bartalotti, Otávio & Kédagni, Désiré & Possebom, Vitor, 2023, "Identifying marginal treatment effects in the presence of sample selection," Journal of Econometrics, Elsevier, volume 234, issue 2, pages 565-584, DOI: 10.1016/j.jeconom.2021.11.011.
• Viviano, Davide & Bradic, Jelena, 2023, "Synthetic Learner: Model-free inference on treatments over time," Journal of Econometrics, Elsevier, volume 234, issue 2, pages 691-713, DOI: 10.1016/j.jeconom.2022.07.006.
• Balat, Jorge F. & Han, Sukjin, 2023, "Multiple treatments with strategic substitutes," Journal of Econometrics, Elsevier, volume 234, issue 2, pages 732-757, DOI: 10.1016/j.jeconom.2020.12.015.
• Jiang, Liang & Phillips, Peter C.B. & Tao, Yubo & Zhang, Yichong, 2023, "Regression-adjusted estimation of quantile treatment effects under covariate-adaptive randomizations," Journal of Econometrics, Elsevier, volume 234, issue 2, pages 758-776, DOI: 10.1016/j.jeconom.2022.08.010.
• Gunsilius, Florian F., 2023, "A condition for the identification of multivariate models with binary instruments," Journal of Econometrics, Elsevier, volume 235, issue 1, pages 220-238, DOI: 10.1016/j.jeconom.2022.04.003.
• Ullah, Aman & Wang, Tao & Yao, Weixin, 2023, "Semiparametric partially linear varying coefficient modal regression," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1001-1026, DOI: 10.1016/j.jeconom.2022.09.002.
• Lee, Ji Hyung & Park, Byoung G., 2023, "Nonparametric identification and estimation of the extended Roy model," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1087-1113, DOI: 10.1016/j.jeconom.2022.10.001.
• Botosaru, Irene, 2023, "Time-varying unobserved heterogeneity in earnings shocks," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1378-1393, DOI: 10.1016/j.jeconom.2022.08.012.
• Cai, Zongwu & Juhl, Ted, 2023, "The distribution of rolling regression estimators," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1447-1463, DOI: 10.1016/j.jeconom.2022.12.001.
• Enache, Andreea & Florens, Jean-Pierre & Sbai, Erwann, 2023, "A functional estimation approach to the first-price auction models," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1564-1588, DOI: 10.1016/j.jeconom.2022.12.007.
• Firpo, Sergio & Galvao, Antonio F. & Parker, Thomas, 2023, "Uniform inference for value functions," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1680-1699, DOI: 10.1016/j.jeconom.2022.11.009.
• Chen, Jiafeng & Chen, Xiaohong & Tamer, Elie, 2023, "Efficient estimation of average derivatives in NPIV models: Simulation comparisons of neural network estimators," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1848-1875, DOI: 10.1016/j.jeconom.2022.12.014.
• Bu, Ruijun & Kim, Jihyun & Wang, Bin, 2023, "Uniform and Lp convergences for nonparametric continuous time regressions with semiparametric applications," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1934-1954, DOI: 10.1016/j.jeconom.2023.02.006.
• Ma, Jun & Marmer, Vadim & Yu, Zhengfei, 2023, "Inference on individual treatment effects in nonseparable triangular models," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 2096-2124, DOI: 10.1016/j.jeconom.2023.02.011.
• Lu, Zhentong & Shi, Xiaoxia & Tao, Jing, 2023, "Semi-nonparametric estimation of random coefficients logit model for aggregate demand," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 2245-2265, DOI: 10.1016/j.jeconom.2022.10.011.
• Wang, Ao, 2023, "Sieve BLP: A semi-nonparametric model of demand for differentiated products," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 325-351, DOI: 10.1016/j.jeconom.2022.04.002.
• Lee, Kyungho & Linton, Oliver & Whang, Yoon-Jae, 2023, "Testing for time stochastic dominance," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 352-371, DOI: 10.1016/j.jeconom.2022.03.012.
• Fan, Yanqin & Shi, Xuetao & Tao, Jing, 2023, "Partial identification and inference in moment models with incomplete data," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 418-443, DOI: 10.1016/j.jeconom.2022.04.009.
• Yu, Tao & Li, Pengfei & Chen, Baojiang & Yuan, Ao & Qin, Jing, 2023, "Maximum pairwise-rank-likelihood-based inference for the semiparametric transformation model," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 454-469, DOI: 10.1016/j.jeconom.2022.05.003.
• Grundl, Serafin & Zhu, Yu, 2023, "Robust inference in first-price auctions: Overbidding as an identifying restriction," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 484-506, DOI: 10.1016/j.jeconom.2022.06.001.
• Fu, Zhonghao & Hong, Yongmiao & Su, Liangjun & Wang, Xia, 2023, "Specification tests for time-varying coefficient models," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 720-744, DOI: 10.1016/j.jeconom.2022.08.001.
• Lee, Yoonseok & Wang, Yulong, 2023, "Threshold regression with nonparametric sample splitting," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 816-842, DOI: 10.1016/j.jeconom.2022.07.005.
• Gallant, A. Ronald, 2023, "Variance–covariance from a metropolis chain on a curved, singular manifold," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 843-861, DOI: 10.1016/j.jeconom.2022.08.002.
• Hong, Shengjie & Su, Liangjun & Jiang, Tao, 2023, "Profile GMM estimation of panel data models with interactive fixed effects," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 927-948, DOI: 10.1016/j.jeconom.2022.07.010.
• Luo, Yao & Xiao, Ruli, 2023, "Identification of auction models using order statistics," Journal of Econometrics, Elsevier, volume 236, issue 1, DOI: 10.1016/j.jeconom.2023.04.003.
• Dalderop, Jeroen, 2023, "Semiparametric estimation of latent variable asset pricing models," Journal of Econometrics, Elsevier, volume 236, issue 1, DOI: 10.1016/j.jeconom.2023.03.010.
• An, Yonghong & Hong, Shengjie & Zhang, Daiqiang, 2023, "A structural analysis of simple contracts," Journal of Econometrics, Elsevier, volume 236, issue 2, DOI: 10.1016/j.jeconom.2023.05.003.
• Hoshino, Tadao & Yanagi, Takahide, 2023, "Treatment effect models with strategic interaction in treatment decisions," Journal of Econometrics, Elsevier, volume 236, issue 2, DOI: 10.1016/j.jeconom.2023.105495.
• Vazquez-Bare, Gonzalo, 2023, "Identification and estimation of spillover effects in randomized experiments," Journal of Econometrics, Elsevier, volume 237, issue 1, DOI: 10.1016/j.jeconom.2021.10.014.
• Higgins, Ayden & Jochmans, Koen, 2023, "Identification of mixtures of dynamic discrete choices," Journal of Econometrics, Elsevier, volume 237, issue 1, DOI: 10.1016/j.jeconom.2023.04.006.
• Ackerberg, Daniel A. & Frazer, Garth & Kim, Kyoo il & Luo, Yao & Su, Yingjun, 2023, "Under-identification of structural models based on timing and information set assumptions," Journal of Econometrics, Elsevier, volume 237, issue 1, DOI: 10.1016/j.jeconom.2023.04.007.
• Bugni, Federico A. & Gao, Mengsi, 2023, "Inference under covariate-adaptive randomization with imperfect compliance," Journal of Econometrics, Elsevier, volume 237, issue 1, DOI: 10.1016/j.jeconom.2023.105497.
• Hafner, Christian M. & Wang, Linqi, 2023, "A dynamic conditional score model for the log correlation matrix," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2021.09.004.
• Chen, Bin & Maung, Kenwin, 2023, "Time-varying forecast combination for high-dimensional data," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2023.01.024.
• Bertanha, Marinho & McCallum, Andrew H. & Seegert, Nathan, 2023, "Better bunching, nicer notching," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2023.105512.
• Sun, Zhenting, 2023, "Instrument validity for heterogeneous causal effects," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2023.105523.
• Chen, Jiafeng & Ritzwoller, David M., 2023, "Semiparametric estimation of long-term treatment effects," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2023.105545.
• Ferrara, Giancarlo & Bucci, Valeria & Campagna, Arianna, 2023, "Audit, presumptive taxation and efficiency: An integrated approach for tax compliance analysis," Economic Systems, Elsevier, volume 47, issue 3, DOI: 10.1016/j.ecosys.2023.101099.
• Tran, Kien C. & Tsionas, Mike G. & Prokhorov, Artem B., 2023, "Semiparametric estimation of spatial autoregressive smooth-coefficient panel stochastic frontier models," European Journal of Operational Research, Elsevier, volume 304, issue 3, pages 1189-1199, DOI: 10.1016/j.ejor.2022.04.039.
• Hou, Zhezhi & Zhao, Shunan & Kumbhakar, Subal C., 2023, "The GMM estimation of semiparametric spatial stochastic frontier models," European Journal of Operational Research, Elsevier, volume 305, issue 3, pages 1450-1464, DOI: 10.1016/j.ejor.2022.07.008.
• Urom, Christian & Ndubuisi, Gideon & Del Lo, Gaye & Yuni, Denis, 2023, "Global commodity and equity markets spillovers to Africa during the COVID-19 pandemic," Emerging Markets Review, Elsevier, volume 55, issue C, DOI: 10.1016/j.ememar.2022.100948.
• Hanauer, Matthias X. & Kalsbach, Tobias, 2023, "Machine learning and the cross-section of emerging market stock returns," Emerging Markets Review, Elsevier, volume 55, issue C, DOI: 10.1016/j.ememar.2023.101022.
• Jiménez, Inés & Mora-Valencia, Andrés & Perote, Javier, 2023, "Multivariate dynamics between emerging markets and digital asset markets: An application of the SNP-DCC model," Emerging Markets Review, Elsevier, volume 56, issue C, DOI: 10.1016/j.ememar.2023.101054.
• Zhu, Haibin & Bai, Lu & He, Lidan & Liu, Zhi, 2023, "Forecasting realized volatility with machine learning: Panel data perspective," Journal of Empirical Finance, Elsevier, volume 73, issue C, pages 251-271, DOI: 10.1016/j.jempfin.2023.07.003.
• Ghosh, Anisha & Linton, Oliver, 2023, "Estimation with mixed data frequencies: A bias-correction approach," Journal of Empirical Finance, Elsevier, volume 74, issue C, DOI: 10.1016/j.jempfin.2023.07.005.
• Sun, Xianming & Xiao, Shiyi & Ren, Xiaohang & Xu, Bing, 2023, "Time-varying impact of information and communication technology on carbon emissions," Energy Economics, Elsevier, volume 118, issue C, DOI: 10.1016/j.eneco.2022.106492.
• Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Shao, Xuefeng & Le, TN-Lan & Gyamfi, Matthew Ntow, 2023, "Financial technology stocks, green financial assets, and energy markets: A quantile causality and dependence analysis," Energy Economics, Elsevier, volume 118, issue C, DOI: 10.1016/j.eneco.2022.106498.
• Lisi, Francesco & Grossi, Luigi & Quaglia, Federico, 2023, "Evaluation of Cost-at-Risk related to the procurement of resources in the ancillary services market. The case of the Italian electricity market," Energy Economics, Elsevier, volume 121, issue C, DOI: 10.1016/j.eneco.2023.106625.
• Rao, Amar & Lucey, Brian & Kumar, Satish, 2023, "Climate risk and carbon emissions: Examining their impact on key energy markets through asymmetric spillovers," Energy Economics, Elsevier, volume 126, issue C, DOI: 10.1016/j.eneco.2023.106970.
• Bennedsen, Mikkel & Hillebrand, Eric & Jensen, Sebastian, 2023, "A neural network approach to the environmental Kuznets curve," Energy Economics, Elsevier, volume 126, issue C, DOI: 10.1016/j.eneco.2023.106985.
• Wang, Jiexin & Wang, Song, 2023, "The effect of electricity market reform on energy efficiency in China," Energy Policy, Elsevier, volume 181, issue C, DOI: 10.1016/j.enpol.2023.113722.
• Zhang, Chuanhai & Ma, Huan & Arkorful, Gideon Bruce & Peng, Zhe, 2023, "The impacts of futures trading on volatility and volatility asymmetry of Bitcoin returns," International Review of Financial Analysis, Elsevier, volume 86, issue C, DOI: 10.1016/j.irfa.2023.102497.
• Wadud, Sania & Gronwald, Marc & Durand, Robert B. & Lee, Seungho, 2023, "Co-movement between commodity and equity markets revisited—An application of the Thick Pen method," International Review of Financial Analysis, Elsevier, volume 87, issue C, DOI: 10.1016/j.irfa.2023.102568.
• Sun, Ruohan & Zhou, Nan & Zhang, Bing, 2023, "Can bank branch establishment help SMEs survive? Evidence from China," International Review of Financial Analysis, Elsevier, volume 88, issue C, DOI: 10.1016/j.irfa.2023.102694.
• Cooray, Arusha & Gangopadhyay, Partha & Das, Narasingha, 2023, "Causality between volatility and the weekly economic index during COVID-19: The predictive power of efficient markets and rational expectations," International Review of Financial Analysis, Elsevier, volume 89, issue C, DOI: 10.1016/j.irfa.2023.102792.
• Miljkovic, Dragan & Vatsa, Puneet, 2023, "On the linkages between energy and agricultural commodity prices: A dynamic time warping analysis," International Review of Financial Analysis, Elsevier, volume 90, issue C, DOI: 10.1016/j.irfa.2023.102834.
• Ergun, Lerby M., 2023, "Extreme downside risk in the cross-section of asset returns," International Review of Financial Analysis, Elsevier, volume 90, issue C, DOI: 10.1016/j.irfa.2023.102840.
• Proença, Catarina & Augusto, Mário & Murteira, José, 2023, "The effect of earnings management on bank efficiency: Evidence from ECB-supervised banks," Finance Research Letters, Elsevier, volume 51, issue C, DOI: 10.1016/j.frl.2022.103450.
• Dircio-Palacios-Macedo, María del Carmen & Cruz-García, Paula & Hernández-Trillo, Fausto & Tortosa-Ausina, Emili, 2023, "Constructing a financial inclusion index for Mexican municipalities," Finance Research Letters, Elsevier, volume 52, issue C, DOI: 10.1016/j.frl.2022.103368.
• Chen, Jiazi & Niu, Linlin, 2023, "How do baby boomers affect interest rates? A functional analysis of the impact of age distribution on macroeconomic trends," Finance Research Letters, Elsevier, volume 53, issue C, DOI: 10.1016/j.frl.2023.103666.
• Kawakami, Tabito, 2023, "Quantile prediction for Bitcoin returns using financial assets’ realized measures," Finance Research Letters, Elsevier, volume 55, issue PA, DOI: 10.1016/j.frl.2023.103843.
• Ferreira, Joaquim & Morais, Flávio, 2023, "Predict or to be predicted? A transfer entropy view between adaptive green markets, structural shocks and sentiment index," Finance Research Letters, Elsevier, volume 56, issue C, DOI: 10.1016/j.frl.2023.104100.
• Đặng, Rey & Karmani, Majdi & Houanti, L'Hocine & Simioni, Michel & Abid, Ilyes, 2023, "Board gender diversity and environmental performance: A semi-parametric panel data analysis," Finance Research Letters, Elsevier, volume 58, issue PA, DOI: 10.1016/j.frl.2023.104032.
• Boos, Dominik & Grob, Linus, 2023, "Tracking speculative trading," Journal of Financial Markets, Elsevier, volume 64, issue C, DOI: 10.1016/j.finmar.2022.100774.
• Lambert, Philippe, 2023, "Nonparametric density estimation and risk quantification from tabulated sample moments," Insurance: Mathematics and Economics, Elsevier, volume 108, issue C, pages 177-189, DOI: 10.1016/j.insmatheco.2022.12.004.
• He, Yue & Kawai, Reiichiro & Shimizu, Yasutaka & Yamazaki, Kazutoshi, 2023, "The Gerber-Shiu discounted penalty function: A review from practical perspectives," Insurance: Mathematics and Economics, Elsevier, volume 109, issue C, pages 1-28, DOI: 10.1016/j.insmatheco.2022.12.003.
• Fissler, Tobias & Merz, Michael & Wüthrich, Mario V., 2023, "Deep quantile and deep composite triplet regression," Insurance: Mathematics and Economics, Elsevier, volume 109, issue C, pages 94-112, DOI: 10.1016/j.insmatheco.2023.01.001.
• Lautier, Jackson P. & Pozdnyakov, Vladimir & Yan, Jun, 2023, "Pricing time-to-event contingent cash flows: A discrete-time survival analysis approach," Insurance: Mathematics and Economics, Elsevier, volume 110, issue C, pages 53-71, DOI: 10.1016/j.insmatheco.2023.02.003.
• Stoja, Evarist & Polanski, Arnold & Nguyen, Linh H. & Pereverzin, Aleksandr, 2023, "Does systematic tail risk matter?," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 82, issue C, DOI: 10.1016/j.intfin.2022.101698.
• Grobys, Klaus, 2023, "A multifractal model of asset (in)variances," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 85, issue C, DOI: 10.1016/j.intfin.2023.101767.
• Zhou, Dong-hai & Liu, Xiao-xing, 2023, "Do world stock markets “jump” together? A measure of high-frequency volatility risk spillover networks," Journal of International Financial Markets, Institutions and Money, Elsevier, volume 88, issue C, DOI: 10.1016/j.intfin.2023.101843.
• Shirota, Toyoichiro, 2023, "State-dependent effects of the unconventional monetary policy in stock markets," Japan and the World Economy, Elsevier, volume 67, issue C, DOI: 10.1016/j.japwor.2023.101208.
• Sokullu, Senay, 2023, "More Is Better, Or Not? An Empirical Analysis of Buyer Preferences for Variety on the E-Market," Journal of Economic Behavior & Organization, Elsevier, volume 209, issue C, pages 450-470, DOI: 10.1016/j.jebo.2023.03.022.
• Valente, Marica, 2023, "Policy evaluation of waste pricing programs using heterogeneous causal effect estimation," Journal of Environmental Economics and Management, Elsevier, volume 117, issue C, DOI: 10.1016/j.jeem.2022.102755.
• Elkamhi, Redouane & Jo, Chanik, 2023, "Asset holders’ consumption risk and tests of conditional CCAPM," Journal of Financial Economics, Elsevier, volume 148, issue 3, pages 220-244, DOI: 10.1016/j.jfineco.2023.04.002.
• Byambadalai, Undral & Ma, Ching-to Albert & Wiesen, Daniel, 2023, "Changing preferences: An experiment and estimation of market-incentive effects on altruism," Journal of Health Economics, Elsevier, volume 92, issue C, DOI: 10.1016/j.jhealeco.2023.102808.
• Booyavi, Zahra & Crawford, G. Christopher, 2023, "Different, but same: A power law perspective on how rock star female entrepreneurs reconceptualize “gender equality”," Journal of Business Venturing Insights, Elsevier, volume 19, issue C, DOI: 10.1016/j.jbvi.2023.e00374.
• Khurana, Indu & Tamvada, Jagannadha Pawan & Audretsch, David B., 2023, "The weaker sex? A tale of means and tails," Journal of Business Venturing Insights, Elsevier, volume 20, issue C, DOI: 10.1016/j.jbvi.2023.e00407.
• Schmied, Julian, 2023, "The replacement rate that maintains income satisfaction through retirement: The question of income-dependence," The Journal of the Economics of Ageing, Elsevier, volume 26, issue C, DOI: 10.1016/j.jeoa.2023.100471.
• Finocchiaro Castro, Massimo & Guccio, Calogero & Rizzo, Ilde, 2023, "“One-size-fits-all” public works contract does it better? An assessment of infrastructure provision in Italy," Journal of Policy Modeling, Elsevier, volume 45, issue 5, pages 994-1014, DOI: 10.1016/j.jpolmod.2023.07.003.
• Abid, Ilyes & Dhaoui, Abderrazak & Kaabia, Olfa & Tarchella, Salma, 2023, "Geopolitical risk on energy, agriculture, livestock, precious and industrial metals: New insights from a Markov Switching model," Resources Policy, Elsevier, volume 85, issue PA, DOI: 10.1016/j.resourpol.2023.103925.
• Raggad, Bechir & Bouri, Elie, 2023, "Gold and crude oil: A time-varying causality across various market conditions," Resources Policy, Elsevier, volume 86, issue PA, DOI: 10.1016/j.resourpol.2023.104273.
• Butts, Kyle, 2023, "JUE Insight: Difference-in-differences with geocoded microdata," Journal of Urban Economics, Elsevier, volume 133, issue C, DOI: 10.1016/j.jue.2022.103493.
• Xu, Chen & Liu, Xiao, 2023, "The economic value of language in China: How important is Mandarin proficiency in the Chinese labor market? A bounding approach," Labour Economics, Elsevier, volume 84, issue C, DOI: 10.1016/j.labeco.2023.102393.
• Araujo, Gustavo Silva & Gaglianone, Wagner Piazza, 2023, "Machine learning methods for inflation forecasting in Brazil: New contenders versus classical models," Latin American Journal of Central Banking (previously Monetaria), Elsevier, volume 4, issue 2, DOI: 10.1016/j.latcb.2023.100087.
• Zhang, Chuanhai & Ma, Huan & Liao, Xiaosai, 2023, "Futures trading activity and the jump risk of spot market: Evidence from the bitcoin market," Pacific-Basin Finance Journal, Elsevier, volume 78, issue C, DOI: 10.1016/j.pacfin.2023.101950.
• Yeh, Jin-Huei & Yun, Mu-Shu, 2023, "Assessing jump and cojumps in financial asset returns with applications in futures markets," Pacific-Basin Finance Journal, Elsevier, volume 82, issue C, DOI: 10.1016/j.pacfin.2023.102157.
• Hoang, Khoa & Huang, Ronghong & Truong, Helen, 2023, "Resurrecting the market factor: A case of data mining across international markets," Pacific-Basin Finance Journal, Elsevier, volume 82, issue C, DOI: 10.1016/j.pacfin.2023.102183.
• Perez-Vincent, Santiago M., 2023, "A few signatures matter: Barriers to entry in Italian local politics," European Journal of Political Economy, Elsevier, volume 78, issue C, DOI: 10.1016/j.ejpoleco.2022.102333.
• Wang, Jying-Nan & Liu, Hung-Chun & Lee, Yen-Hsien & Hsu, Yuan-Teng, 2023, "FoMO in the Bitcoin market: Revisiting and factors," The Quarterly Review of Economics and Finance, Elsevier, volume 89, issue C, pages 244-253, DOI: 10.1016/j.qref.2023.04.007.
• Schulz, Rainer & Watson, Verity & Wersing, Martin, 2023, "Teleworking and housing demand," Regional Science and Urban Economics, Elsevier, volume 101, issue C, DOI: 10.1016/j.regsciurbeco.2023.103915.
• Peng, Wei, 2023, "The impact of oil and natural gas prices on overnight risk in exchange rates based on the MVMQ-CAViaR models," International Review of Economics & Finance, Elsevier, volume 86, issue C, pages 616-625, DOI: 10.1016/j.iref.2023.03.031.
• Pirayesh Neghab, Davood & Bradrania, Reza & Elliott, Robert, 2023, "Deliberate premarket underpricing: New evidence on IPO pricing using machine learning," International Review of Economics & Finance, Elsevier, volume 88, issue C, pages 902-927, DOI: 10.1016/j.iref.2023.07.008.
• Assaf, Ata & Mokni, Khaled & Yousaf, Imran & Bhandari, Avishek, 2023, "Long memory in the high frequency cryptocurrency markets using fractal connectivity analysis: The impact of COVID-19," Research in International Business and Finance, Elsevier, volume 64, issue C, DOI: 10.1016/j.ribaf.2022.101821.
• Blanco-Oliver, A.J. & Irimia-Diéguez, A.I. & Vázquez-Cueto, M.J., 2023, "Is there an optimal microcredit size to maximize the social and financial efficiencies of microfinance institutions?," Research in International Business and Finance, Elsevier, volume 65, issue C, DOI: 10.1016/j.ribaf.2023.101980.
• Grudniewicz, Jan & Ślepaczuk, Robert, 2023, "Application of machine learning in algorithmic investment strategies on global stock markets," Research in International Business and Finance, Elsevier, volume 66, issue C, DOI: 10.1016/j.ribaf.2023.102052.
• Fusco, Elisa, 2023, "Potential improvements approach in composite indicators construction: The Multi-directional Benefit of the Doubt model," Socio-Economic Planning Sciences, Elsevier, volume 85, issue C, DOI: 10.1016/j.seps.2022.101447.
• Sadik-Zada, Elkhan Richard & Gatto, Andrea, 2023, "Civic engagement and energy transition in the Nordic-Baltic Sea Region: Parametric and nonparametric inquiries," Socio-Economic Planning Sciences, Elsevier, volume 87, issue PA, DOI: 10.1016/j.seps.2022.101347.
• Wang, Hanjie & Feil, Jan-Henning & Yu, Xiaohua, 2023, "Let the data speak about the cut-off values for multidimensional index: Classification of human development index with machine learning," Socio-Economic Planning Sciences, Elsevier, volume 87, issue PA, DOI: 10.1016/j.seps.2023.101523.
• Rosado-Cubero, Ana & Hernández, Adolfo & Blanco Jiménez, Francisco José & Freire-Rubio, Teresa, 2023, "Promotion of entrepreneurship through business incubators: Regional analysis in Spain," Technological Forecasting and Social Change, Elsevier, volume 190, issue C, DOI: 10.1016/j.techfore.2023.122419.
• Polyzos, Efstathios & Fotiadis, Anestis & Huan, Tzung-Cheng, 2023, "From Heroes to Scoundrels: Exploring the effects of online campaigns celebrating frontline workers on COVID-19 outcomes," Technology in Society, Elsevier, volume 72, issue C, DOI: 10.1016/j.techsoc.2023.102198.
• Fernando Landa, 2023, "Estimación de Pobreza para Bolivia para el año 2020 por trimestres," Cuadernos de Investigación Económica Boliviana, Ministerio de Economía y Finanzas Públicas de Bolivia, volume 6, issue 1, pages 51-84, Junio.
• Pablo Cachaga & María-Eugenia Carmona & Gary Canaviri, 2023, "Relación de Causalidad entre la Cantidad de Dinero y la Inflación en Bolivia," Cuadernos de Investigación Económica Boliviana, Ministerio de Economía y Finanzas Públicas de Bolivia, volume 6, issue 1, pages 85-120, Junio.
• Dong, Hao & Otsu, Taisuke & Taylor, Luke, 2023, "Bandwidth selection for nonparametric regression with errors-in-variables," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 115551, Apr.
• Chen, Yining & S. Torrent, Hudson & A. Ziegelmann, Flavio, 2023, "Robust nonparametric frontier estimation in two steps," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 119389, Jul.
• Kurisu, Daisuke & Otsu, Taisuke, 2023, "Subsampling inference for nonparametric extremal conditional quantiles," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 120365, Nov.
• Calel, Raphael & Dechezlepretre, Antoine & Venmans, Frank, 2023, "Policing carbon markets," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 120565, Sep.
• Ant—nio Afonso & João Tovar Jalles & Ana Venâncio, 2023, "Government spending efficiency, measurement and applications: A cross-country efficiency dataset," Chapters, Edward Elgar Publishing, chapter 3, in: António Afonso & João Tovar Jalles & Ana Venâncio, "Handbook on Public Sector Efficiency".
• Gabriel Montes-Rojas & Nicolás Bertholet, 2023, "When are devaluations more contractionary? A quantile VAR estimation for Argentina," Chapters, Edward Elgar Publishing, chapter 8, in: Fernando Toledo & Louis-Philippe Rochon, "Monetary Policy Challenges in Latin America".
• Han-Ying Liang & Yu Shen & Qiying Wang, 2023, "Functional-Coefficient Cointegrating Regression with Endogeneity," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Theory", DOI: 10.1108/S0731-90532023000045A005.
• Kun Ho Kim & Hira L. Koul & Jiwoong Kim, 2023, "A Specification Test Based on Convolution-Type Distribution Function Estimates for Non-Linear Autoregressive Processes," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Theory", DOI: 10.1108/S0731-90532023000045A006.
• Ying Zhou & Hsein Kew & Jiti Gao, 2023, "Non-Stationary Parametric Single-Index Predictive Models: Simulation and Empirical Studies," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Theory", DOI: 10.1108/S0731-90532023000045A012.
• J. Isaac Miller, 2023, "Local Climate Sensitivity: What Can Time Series of Distributions Reveal About Spatial Heterogeneity of Climate Change?," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications", DOI: 10.1108/S0731-90532023000045B014.
• Shakeeb Khan & Arnaud Maurel & Yichong Zhang, 2023, "Informational Content of Factor Structures in Simultaneous Binary Response Models," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications", DOI: 10.1108/S0731-90532023000045B016.
• Vipin Valiyattoor & Anup Kumar Bhandari, 2023, "Towards a better measure of productivity in India: a case of chemical and chemical products industry," Indian Growth and Development Review, Emerald Group Publishing Limited, volume 16, issue 2, pages 105-122, March, DOI: 10.1108/IGDR-08-2022-0092.
• Surachai Chancharat & Arisa Phadungviang, 2023, "Risk and Mutual Fund Clustering in an Emerging Market: Evidence for Thailand," International Symposia in Economic Theory and Econometrics, Emerald Group Publishing Limited, "Comparative Analysis of Trade and Finance in Emerging Economies", DOI: 10.1108/S1571-038620230000031006.
• Nadia Basty & Ines Ghazouani, 2023, "Competition–banking stability: the moderating role of government intervention quality in North African countries," Journal of Risk Finance, Emerald Group Publishing Limited, volume 24, issue 2, pages 244-268, February, DOI: 10.1108/JRF-06-2022-0166.
• Ratzanyel Rincón, 2023, "Quarterly multidimensional poverty estimates in Mexico using machine learning algorithms/Estimaciones trimestrales de pobreza multidimensional en México mediante algoritmos de aprendizaje de máquina," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, volume 38, issue 1, pages 3-68.
• Uduakobong Inyang & Aniekan Etim Bassey & Agbo Ishmael Umunnakwe, 2023, "Evidence-Based Policy Evaluation: Focus on Micro-Insurance Operational Policy in Nigeria," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, volume 13, issue 1, pages 191-208.
• Aaron Bodoh-Creed & Brent Hickman & John List & Ian Muir & Gregory Sun, 2023, "Stress Testing Structural Models of Unobserved Heterogeneity: Robust Inference on Optimal Nonlinear Pricing," Natural Field Experiments, The Field Experiments Website, number 00776.
• Thomas R. Cook & Nathan M. Palmer, 2023, "Understanding Models and Model Bias with Gaussian Processes," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 23-07, Jun, DOI: 10.18651/RWP2023-07.
• Deniz Erdemlioglu & Christopher J. Neely & Xiye Yang, 2023, "Testing for Multi-Asset Systemic Tail Risk," Working Papers, Federal Reserve Bank of St. Louis, number 2023-016, Jul, revised 09 Sep 2025, DOI: 10.20955/wp.2023.016.
• Matias D. Cattaneo & Richard K. Crump & Weining Wang, 2023, "Beta-Sorted Portfolios," Staff Reports, Federal Reserve Bank of New York, number 1068, Jul, DOI: 10.59576/sr.1068.
• Dean Fantazzini & Yufeng Xiao, 2023, "Detecting Pump-and-Dumps with Crypto-Assets: Dealing with Imbalanced Datasets and Insiders’ Anticipated Purchases," Econometrics, MDPI, volume 11, issue 3, pages 1-73, August.
• Raphaël CHIAPPINI & Sophie POMMET, 2023, "The impact of public support for innovation on SME performance and efficiency," Bordeaux Economics Working Papers, Bordeaux School of Economics (BSE), number 2023-06.
• Thibaut PLASSOT & Michael SICSIC, 2023, "Mapping Inequality of Opportunity in France and its Regions: A Data-Driven Analysis of Income Inequality from Fiscal Administrative Data," Bordeaux Economics Working Papers, Bordeaux School of Economics (BSE), number 2023-12.
• Whelsy Boungou & Francis Osei-Tutu & Amara Zongo, 2023, "Democracy and Intra-Africa Trade," Post-Print, HAL, number hal-03940257, Jan, DOI: 10.1057/s41294-022-00204-4.
• Marc Beltempo & Georges Bresson & Guy Lacroix, 2023, "Using machine learning to predict nosocomial infections and medical accidents in a NICU," Post-Print, HAL, number hal-04103625, DOI: 10.1007/s12553-022-00723-1.
• Anja Hahn & Konstantin Kholodilin & Sofie Waltl & Marco Fongoni, 2023, "Forward to the Past: Short-Term Effects of the Rent Freeze in Berlin," Post-Print, HAL, number hal-04133694, DOI: 10.1287/mnsc.2023.4775.
• Ayden Higgins & Koen Jochmans, 2023, "Identification of mixtures of dynamic discrete choices," Post-Print, HAL, number hal-04251997, Nov, DOI: 10.1016/j.jeconom.2023.04.006.
• Rémy Le Boennec & Frédéric Salladarré, 2023, "Investigating the use of privately-owned micromobility modes for commuting in four European countries," Post-Print, HAL, number hal-04296400, Nov, DOI: 10.1016/j.jclepro.2023.139760.
• Abdelhakim Aknouche & Christian Francq, 2023, "Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models," Post-Print, HAL, number hal-05417229, Dec, DOI: 10.1016/j.jeconom.2021.09.002.
• Michel Lubrano & Abdoul Aziz Junior Ndoye, 2023, "Bayesian Unconditional Quantile Regression: An Analysis of Recent Expansions in Wage Structure and Earnings Inequality in the US 1992-2009," Working Papers, HAL, number hal-01463115, Sep, DOI: 10.1111/sjpe.12038.
• Nicolas Fremeaux & Paul Maarek, 2023, "Less but better? The influence of gender on political activity," Working Papers, HAL, number hal-04039563, Mar.
• Nadine Levratto & Mounir Amdaoud, 2023, "Territoires d’industrie : hétérogénéité et convergence ?," Working Papers, HAL, number hal-04159844.
• Thibaut Plassot & Michaël Sicsic, 2023, "Mapping Inequality of Opportunity in France and its Regions: A Data-Driven Analysis of Income Inequality from Fiscal Administrative Data," Working Papers, HAL, number hal-04273119, Nov.
• Karim M Abadir & Michel Lubrano, 2023, "Explicit solutions for the asymptotically-optimal bandwidth in cross validation," Working Papers, HAL, number hal-04362137, Dec.
• Olga Takács & János Vincze, 2023, "Where is the pain the most acute? The market segments particularly affected by gender wage discrimination in Hungary," KRTK-KTI WORKING PAPERS, Institute of Economics, Centre for Economic and Regional Studies, number 2304, Mar.
• Olga Takács & János Vincze, 2023, "Heterogeneous wage structure effects: a partial European East-West comparison," KRTK-KTI WORKING PAPERS, Institute of Economics, Centre for Economic and Regional Studies, number 2305, Mar.
• Ulmestig, Rickard & Waernbaum, Ingeborg, 2023, "Measuring effects of second wave activation: A theoretical model and tutorial for activation programme evaluation," Working Paper Series, IFAU - Institute for Evaluation of Labour Market and Education Policy, number 2023:20, Oct, DOI: https://www.ifau.se/en/Research/Pub.
• Piasenti, Stefano & Valente, Marica & Van Veldhuizen, Roel & Pfeifer, Gregor, 2023, "Does Unfairness Hurt Women? The Effects of Losing Unfair Competitions," Working Papers, Lund University, Department of Economics, number 2023:7, Aug.
• van ’t Hoff, Nadja & Lewbel, Arthur & Mellace, Giovanni, 2023, "Limited Monotonicity and the Combined Compliers LATE," Discussion Papers on Economics, University of Southern Denmark, Department of Economics, number 2/2023, May.
• Gabriella Sicilia & Rosa Simancas, 2023, "Eficiencia y equidad educativa en España: un análisis comparativo a nivel regional," Hacienda Pública Española / Review of Public Economics, IEF, volume 245, issue 2, pages 7-33, June.
• Ihsanul Ikhwan & Ririn Riani, 2023, "Stability Of Islamic Bank Efficiency In Indonesia And Malaysia: Has Covid-19 Made Any Difference?," Journal of Islamic Monetary Economics and Finance, Bank Indonesia, volume 9, issue 3, pages 491-510, September, DOI: https://doi.org/10.21098/jimf.v9i3..
• Marcus Buckmann & Andreas Joseph, 2023, "An Interpretable Machine Learning Workflow with an Application to Economic Forecasting," International Journal of Central Banking, International Journal of Central Banking, volume 19, issue 4, pages 449-522, October.
• Guillermo Cerda-Guillén & Salvador Cruz-Aké & María Teresa Verónica Martínez-Palacios, 2023, "Efectos del endeudamiento de los hogares mexicanos en su ahorro y consumo: Un enfoque de Ciencia de datos," 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 18, issue 2, pages 1-22, Abril - J.
• Stefano Piasenti & Marica Valente & Roel van Veldhuizen & Gregor Pfeifer, 2023, "Does Unfairness Hurt Women? The Effects of Losing Unfair Competitions," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2023-11, Nov.
• Yoosoon Chang & Fabio Gomez-Rodriguez & Christian Matthes, 2023, "The Influence of Fiscal and Monetary Policies on the Shape of the Yield Curve," CAEPR Working Papers, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, number 2023-008 Classification-E, Nov.
• Tihana Skrinjaric, 2023, "Introducing a composite indicator of cyclical systemic risk in Croatia: possibilities and limitations," Public Sector Economics, Institute of Public Finance, volume 47, issue 1, pages 1-39, DOI: 10.3326/pse.47.1.1.
• Frane Banic & Dominik Ivan Pripuzic & Pave Rebic, 2023, "Short- and medium-term fiscal positions in a high-inflation environment: the case of Croatia," Public Sector Economics, Institute of Public Finance, volume 47, issue 4, pages 461-475, DOI: 10.3326/pse.47.4.4.
• António Afonso & João Tovar Jalles & Ana Venâncio, 2023, "Government Spending and Tax Revenue Decentralization and Public Sector Efficiency: Do Natural Disasters matter?," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2023/0271, May.
• Lucas Menescal & José Alves, 2023, "Tax structure and public sector efficiency: new evidence for developing countries," Working Papers REM, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa, number 2023/0291, Oct.
• Resul TELLI & Zehra Vildan SERIN, 2023, "A Comparative Analysis on Healthcare Spending Efficiency Among the G-8 Countries and Turkey," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, volume 10, issue 1, pages 281-302, January, DOI: 10.26650/JEPR122784.
• Ahrens, Achim & Hansen, Christian B. & Schaffer, Mark E & Wiemann, Thomas, 2023, "ddml: Double/Debiased Machine Learning in Stata," IZA Discussion Papers, IZA Network @ LISER, number 15963, Feb.
• Piasenti, Stefano & Valente, Marica & van Veldhuizen, Roel & Pfeifer, Gregor, 2023, "Does Unfairness Hurt Women? The Effects of Losing Unfair Competitions," IZA Discussion Papers, IZA Network @ LISER, number 16324, Jul.
• Isabel Narbón-Perpiñá & Maria Teresa Balaguer-Coll & Diego Prior & Emili Tortosa-Ausina, 2023, "Vertical transfers, political alignment, and efficiency in local government," Working Papers, Economics Department, Universitat Jaume I, Castellón (Spain), number 2023/08.
• Zongwu Cai & Ying Fang & Ming Lin & Zixuan Wu, 2023, "A Quasi Synthetic Control Method for Nonlinear Models With High-Dimensional Covariates," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202305, Feb, revised Aug 2023.
• Zongwu Cai & Gunawan, 2023, "A Combination Forecast for Nonparametric Models with Structural Breaks," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS, University of Kansas, Department of Economics, number 202310, Sep, revised Sep 2023.
• Carlo Marinelli & Stefano d’Addona, 2023, "Nonparametric estimates of option prices via Hermite basis functions," Annals of Finance, Springer, volume 19, issue 4, pages 477-522, December, DOI: 10.1007/s10436-023-00431-4.
• Ignacio Escañuela Romana & Mercedes Torres-Jiménez & Mariano Carbonero-Ruz, 2023, "Price Elasticity of Demand for Domestic Air Travel in the United States: A Robust Quasi-Experimental Estimation," Atlantic Economic Journal, Springer;International Atlantic Economic Society, volume 51, issue 2, pages 149-167, September, DOI: 10.1007/s11293-023-09779-4.
• Yushu Li & Hyunjoo Kim Karlsson, 2023, "Investigating the Asymmetric Behavior of Oil Price Volatility Using Support Vector Regression," Computational Economics, Springer;Society for Computational Economics, volume 61, issue 4, pages 1765-1790, April, DOI: 10.1007/s10614-022-10266-2.
• Jan G. De Gooijer, 2023, "Penalized Averaging of Quantile Forecasts from GARCH Models with Many Exogenous Predictors," Computational Economics, Springer;Society for Computational Economics, volume 62, issue 1, pages 407-424, June, DOI: 10.1007/s10614-022-10289-9.
• Ying Li & Mi Zhou & Huaping Sun & Jia Liu, 2023, "Assessment of environmental tax and green bonds impacts on energy efficiency in the European Union," Economic Change and Restructuring, Springer, volume 56, issue 2, pages 1063-1081, April, DOI: 10.1007/s10644-022-09465-6.
• Eirini Stergiou & Nikos Rigas & Eftychia Zaroutieri & Konstantinos Kounetas, 2023, "Energy, renewable and technical efficiency convergence: a global evidence," Economic Change and Restructuring, Springer, volume 56, issue 3, pages 1601-1628, June, DOI: 10.1007/s10644-022-09479-0.
• Ozan Bakis & Sezgin Polat, 2023, "Wage inequality dynamics in Turkey," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, volume 50, issue 3, pages 657-694, August, DOI: 10.1007/s10663-023-09579-8.
• Charles A. Holt & Sean P. Sullivan, 2023, "Permutation tests for experimental data," Experimental Economics, Springer;Economic Science Association, volume 26, issue 4, pages 775-812, September, DOI: 10.1007/s10683-023-09799-6.