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

• Simar, Léopold & Zelenyuk, Valentin & Zhao, Shirong, 2023, "Statistical Inference for Hicks–Moorsteen Productivity Indices," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2023032, Oct.
• Lambert, Philippe, 2023, "Nonparametric density estimation and risk quantification from tabulated sample moments," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2023001, Jan, DOI: https://doi.org/10.1016/j.insmathec.
• Pham, Manh & Simar, Léopold & Zelenyuk, Valentin, 2023, "Statistical Inference for Aggregation of Malmquist Productivity Indices," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2023010, Jan, DOI: https://doi.org/10.1287/opre.2022.2.
• Fève, Frédérique & Florens, Jean-Pierre & Simar, Léopold, 2023, "Proportional incremental cost probability functions and their frontiers," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2023011, Mar, DOI: https://doi.org/10.1007/s00181-023-.
• Cadena, Meitner & Denuit, Michel, 2023, "Mortality projections for higher educational attainment with semi-parametric accelerated hazard relational models," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2023026, Mar, DOI: https://doi.org/10.1007/s10203-023-.
• Hafner, Christian M. & Linton, Oliver B. & Wang, Linqi, 2023, "Dynamic Autoregressive Liquidity (DArLiQ)," LIDAM Reprints ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2023027, Nov, DOI: https://doi.org/10.1080/07350015.20.
• Sören Blomquist & Jerry A. Hausman & Whitney K. Newey, 2023, "The Econometrics of Nonlinear Budget Sets," Annual Review of Economics, Annual Reviews, volume 15, issue 1, pages 287-306, September, DOI: 10.1146/annurev-economics-082222-06.
• Javier Alejo & Antonio F. Galvao & Julián Martinez-Iriarte & Gabriel Montes-Rojas, 2023, "Unconditional Quantile Partial Effects via Conditional Quantile Regression," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 217, Feb.
• Maria Florencia Gabrielli, 2023, "Econometrics of first Price Auctions: a Survey of the Theoretical and Applied Literature," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 252, Jun.
• Maria Florencia Gabrielli, 2023, "Detecting Collusion on Highway Procurement," Working Papers, Red Nacional de Investigadores en Economía (RedNIE), number 263, Aug.
• Christophe Bell'ego & David Benatia & Vincent Dortet-Bernardet, 2023, "The Chained Difference-in-Differences," Papers, arXiv.org, number 2301.01085, Jan, revised Jan 2025.
• Adam Baybutt & Manu Navjeevan, 2023, "Doubly-Robust Inference for Conditional Average Treatment Effects with High-Dimensional Controls," Papers, arXiv.org, number 2301.06283, Jan.
• Javier Alejo & Antonio F. Galvao & Julian Martinez-Iriarte & Gabriel Montes-Rojas, 2023, "Unconditional Quantile Partial Effects via Conditional Quantile Regression," Papers, arXiv.org, number 2301.07241, Jan, revised Dec 2023.
• Achim Ahrens & Christian B. Hansen & Mark E. Schaffer & Thomas Wiemann, 2023, "ddml: Double/debiased machine learning in Stata," Papers, arXiv.org, number 2301.09397, Jan, revised Jan 2024.
• Jia Chen & Degui Li & Yuning Li & Oliver Linton, 2023, "Estimating Time-Varying Networks for High-Dimensional Time Series," Papers, arXiv.org, number 2302.02476, Feb.
• Yuehao Bai & Liang Jiang & Joseph P. Romano & Azeem M. Shaikh & Yichong Zhang, 2023, "Covariate Adjustment in Experiments with Matched Pairs," Papers, arXiv.org, number 2302.04380, Feb, revised Oct 2023.
• Degui Li & Bin Peng & Songqiao Tang & Weibiao Wu, 2023, "Estimation of Grouped Time-Varying Network Vector Autoregression Models," Papers, arXiv.org, number 2303.10117, Mar, revised Mar 2024.
• Daniel Ackerberg & Garth Frazer & Kyoo il Kim & Yao Luo & Yingjun Su, 2023, "Under-Identification of Structural Models Based on Timing and Information Set Assumptions," Papers, arXiv.org, number 2303.15170, Mar.
• Liang Jiang & Liyao Li & Ke Miao & Yichong Zhang, 2023, "Adjustment with Many Regressors Under Covariate-Adaptive Randomizations," Papers, arXiv.org, number 2304.08184, Apr, revised Feb 2025.
• Massimo Finocchiaro Castroa & Calogero Guccio & Ilde Rizzo, 2023, "How 'one-size-fits-all' public works contract does it better? An assessment of infrastructure provision in Italy," Papers, arXiv.org, number 2304.10776, Apr.
• Jiti Gao & Bin Peng & Yayi Yan, 2023, "Time-Varying Vector Error-Correction Models: Estimation and Inference," Papers, arXiv.org, number 2305.17829, May.
• Jiti Gao & Fei Liu & Bin Peng & Yanrong Yang, 2023, "Localized Neural Network Modelling of Time Series: A Case Study on US Monetary Policy," Papers, arXiv.org, number 2306.05593, Jun, revised Jul 2024.
• Ruijun Bu & Degui Li & Oliver Linton & Hanchao Wang, 2023, "Nonparametric Estimation of Large Spot Volatility Matrices for High-Frequency Financial Data," Papers, arXiv.org, number 2307.01348, Jul.
• Victor Aguirregabiria & Alessandro Iaria & Senay Sokullu, 2023, "Identification and Estimation of Demand Models with Endogenous Product Entry and Exit," Papers, arXiv.org, number 2308.14196, Aug, revised Apr 2026.
• Riccardo Di Francesco, 2023, "Ordered Correlation Forest," Papers, arXiv.org, number 2309.08755, Sep.
• Jakub Micha'nk'ow & Pawe{l} Sakowski & Robert 'Slepaczuk, 2023, "Mean Absolute Directional Loss as a New Loss Function for Machine Learning Problems in Algorithmic Investment Strategies," Papers, arXiv.org, number 2309.10546, Sep.
• Jakub Micha'nk'ow & Pawe{l} Sakowski & Robert 'Slepaczuk, 2023, "Hedging Properties of Algorithmic Investment Strategies using Long Short-Term Memory and Time Series models for Equity Indices," Papers, arXiv.org, number 2309.15640, Sep.
• Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2023, "Estimation and Inference for a Class of Generalized Hierarchical Models," Papers, arXiv.org, number 2311.02789, Nov, revised Apr 2024.
• Timo Kuosmanen & Sheng Dai, 2023, "Modeling economies of scope in joint production: Convex regression of input distance function," Papers, arXiv.org, number 2311.11637, Nov.
• Jinyong Hahn & Zhipeng Liao & Nan Liu & Shuyang Sheng, 2023, "Some Finite-Sample Results on the Hausman Test," Papers, arXiv.org, number 2312.10558, Dec.
• Magne Mogstad & Joseph P. Romano & Azeem M. Shaikh & Daniel Wilhelm, 2023, "Inference for ranks with applications to mobility across neighborhoods and academic achievement across countries," CeMMAP working papers, Institute for Fiscal Studies, number 03/23, Jan, DOI: 10.47004/wp.cem.2023.0323.
• Leonardo Nogueira Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023, "Bayesian Local Projections," Working Papers Series, Central Bank of Brazil, Research Department, number 581, May.
• Geert Mesters & Régis Barnichon, 2023, "Evaluating Policy Institutions -150 Years of US Monetary Policy-," Working Papers, Barcelona School of Economics, number 1410, Oct.
• Douglas Kiarelly Godoy de Araujo, 2023, "gingado: a machine learning library focused on economics and finance," IFC Bulletins chapters, Bank for International Settlements, in: Bank for International Settlements, "Data science in central banking: applications and tools".
• Douglas Kiarelly Godoy de Araujo, 2023, "gingado: a machine learning library focused on economics and finance," BIS Working Papers, Bank for International Settlements, number 1122, Sep.
• Nadja van ’t Hoff & Arthur Lewbel & Giovanni Mellace, 2023, "Limited Monotonicity and the Combined Compliers LATE," Boston College Working Papers in Economics, Boston College Department of Economics, number 1059, May, revised 20 Jan 2025.
• Bin Ping & Liangju Su & Yanrong Yang & Joakim Westerlund, 2023, "Interactive-effects panel-data models with general factors and regressors," French Stata Users' Group Meetings 2023, Stata Users Group, number 14, Aug.
• Nchare Karim & Makioka Ryo, 2023, "Quantile Difference in Differences with Time-Varying Qualification in Panel Data," Journal of Econometric Methods, De Gruyter, volume 12, issue 1, pages 105-116, January, DOI: 10.1515/jem-2021-0032.
• Ollech Daniel & Webel Karsten, 2023, "A Random Forest-based Approach to Combining and Ranking Seasonality Tests," Journal of Econometric Methods, De Gruyter, volume 12, issue 1, pages 117-130, January, DOI: 10.1515/jem-2020-0020.
• Cai Yong & Canay Ivan A. & Kim Deborah & Shaikh Azeem M., 2023, "On the Implementation of Approximate Randomization Tests in Linear Models with a Small Number of Clusters," Journal of Econometric Methods, De Gruyter, volume 12, issue 1, pages 85-103, January, DOI: 10.1515/jem-2021-0030.
• Kawakatsu Hiroyuki, 2023, "Simple Factor Realized Stochastic Volatility Models," Journal of Time Series Econometrics, De Gruyter, volume 15, issue 1, pages 79-110, January, DOI: 10.1515/jtse-2021-0049.
• Mounir Amdaoud & Nadine Levratto, 2023, "Territoires d’industrie : hétérogénéité et convergence," Revue d'économie industrielle, De Boeck Université, volume 0, issue 1, pages 199-229.
• Jian, L. & Linton, O. B. & Tang, H. & Zhang, Y., 2023, "Improving Estimation Efficiency via Regression-Adjustment in Covariate-Adaptive Randomizations with Imperfect Compliance," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2366, Oct.
• Gustavo Ferro & Carlos A. Romero & María Priscila Ramos, 2023, "Understanding Smart Grids," CEMA Working Papers: Serie Documentos de Trabajo., Universidad del CEMA, number 859, Nov.
• Harold D Chiang & Yukitoshi Matsushita & Taisuke Otsu, 2023, "Regression adjustment in randomized controlled trials with many covariates," STICERD - Econometrics Paper Series, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE, number 627, Feb.
• Shuo Liu & Nick Netzer, 2023, "Happy Times: Measuring Happiness Using Response Times," CESifo Working Paper Series, CESifo, number 10360.
• António Afonso & João Tovar Jalles & Ana Venâncio, 2023, "Government Spending and Tax Revenue Decentralization and Public Sector Efficiency: Do Natural Disasters Matter?," CESifo Working Paper Series, CESifo, number 10424.
• Marc Gronwald & Xin Jin, 2023, "Macroeconomics with a Thick Pen," CESifo Working Paper Series, CESifo, number 10430.
• Christina Anderl & Guglielmo Maria Caporale, 2023, "Time-Varying Parameters in Monetary Policy Rules: A GMM Approach," CESifo Working Paper Series, CESifo, number 10451.
• Stefano Piasenti & Marica Valente & Roel van Veldhuizen & Gregor Pfeifer & Gregor-Gabriel Pfeifer, 2023, "Does Unfairness Hurt Women? The Effects of Losing Unfair Competitions," CESifo Working Paper Series, CESifo, number 10572.
• Lucas Menescal & José Alves, 2023, "Tax Structure and Public Sector Efficiency: New Evidence for Developing Countries," CESifo Working Paper Series, CESifo, number 10726.
• Bryan Kelly & Semyon Malamud & Mohammad Pourmohammadi & Fabio Trojani, 2023, "Universal Portfolio Shrinkage," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-119, Dec.
• Nicolas Camenzind & Damir Filipović, 2023, "Stripping the Swiss Discount Curve," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-97, Oct.
• Santiago Torres, 2023, "The Oracle Local Polynomial Estimator," Documentos CEDE, Universidad de los Andes, Facultad de Economía, CEDE, number 20937, Nov.
• Aguirregabiria, Victor & Iaria, Alessandro & Sokullu, Senay, 2023, "Identification and Estimation of Demand Models with Endogenous Product Entry and Exit," CEPR Discussion Papers, Centre for Economic Policy Research, number 18398, Aug.
• Leonardo N. Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023, "Bayesian Local Projections," Working Papers, Center for Research in Economics and Statistics, number 2023-04, Feb.
• Michail Tsagris & Abdulaziz Alenazi & Connie Stewart, 2023, "Flexible Non-parametric Regression Models for Compositional Response Data with Zeros," Working Papers, University of Crete, Department of Economics, number 2306, Feb.
• Fuwei Jiang & Wei Ning & Hao Xue, 2023, "Factor Timing with Investor Sentiment," Annals of Economics and Finance, Society for AEF, volume 24, issue 2, pages 401-437, November.
• Phillips, Peter C. B. & Wang, Ying, 2023, "Limit Theory For Locally Flat Functional Coefficient Regression," Econometric Theory, Cambridge University Press, volume 39, issue 5, pages 900-949, October.
• Steven Berry & Philip Haile, 2023, "Nonparametric Identification of Differentiated Products Demand Using Micro Data," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 2357, Jan.
• 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.