Research classified by Journal of Economic Literature (JEL) codes

---

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

2023

• Juan Piedra-Peña & Diego Prior, 2023, "Analyzing the effect of health reforms on the efficiency of Ecuadorian public hospitals," International Journal of Health Economics and Management, Springer, volume 23, issue 3, pages 361-392, September, DOI: 10.1007/s10754-023-09346-z.
• Harald Dyckhoff, 2023, "Proper modelling of industrial production systems with unintended outputs: a different perspective," Journal of Productivity Analysis, Springer, volume 59, issue 2, pages 173-188, April, DOI: 10.1007/s11123-023-00660-9.
• William C. Horrace & Hyunseok Jung & Yi Yang, 2023, "The conditional mode in parametric frontier models," Journal of Productivity Analysis, Springer, volume 60, issue 3, pages 333-343, December, DOI: 10.1007/s11123-023-00699-8.
• Alia Afzal & Philipp Sibbertsen, 2023, "Long Memory, Spurious Memory: Persistence in Range-Based Volatility of Exchange Rates," Open Economies Review, Springer, volume 34, issue 4, pages 789-811, September, DOI: 10.1007/s11079-022-09686-2.
• Maxim Ulrich & Lukas Zimmer & Constantin Merbecks, 2023, "Implied volatility surfaces: a comprehensive analysis using half a billion option prices," Review of Derivatives Research, Springer, volume 26, issue 2, pages 135-169, October, DOI: 10.1007/s11147-023-09195-5.
• Giulio Bottazzi & Taewon Kang & Federico Tamagni, 2023, "Persistence in firm growth: inference from conditional quantile transition matrices," Small Business Economics, Springer, volume 61, issue 2, pages 745-770, August, DOI: 10.1007/s11187-022-00700-y.
• Marco Caliendo & Alexander S. Kritikos & Claudia Stier, 2023, "The influence of start-up motivation on entrepreneurial performance," Small Business Economics, Springer, volume 61, issue 3, pages 869-889, October, DOI: 10.1007/s11187-022-00722-6.
• Giannis Karagiannis & Panagiotis Ravanos, 2023, "On Value Efficiency Analysis and Cone-Ratio Data Envelopment Analysis models," Discussion Paper Series, Department of Economics, University of Macedonia, number 2023_03, Mar, revised Mar 2023.
• Dinabandhu Bag & Saurabh Goel, 2023, "Weak Form of Call Auction Prices: Simulation Using Monte Carlo Variants," Capital Markets Review, Malaysian Finance Association, volume 31, issue 1, pages 59-71.
• Botond Benedek & Balint Zsolt Nagy, 2023, "Traditional versus AI-Based Fraud Detection: Cost Efficiency in the Field of Automobile Insurance," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), volume 22, issue 2, pages 77-98.
• Jiti Gao & Bin Peng & Yayi Yan, 2023, "Time-Varying Vector Error-Correction Models: Estimation and Inference," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 11/23.
• Yu Bai & Massimiliano Marcellino & George Kapetanios, 2023, "Mean Group Instrumental Variable Estimation of Time-Varying Large Heterogeneous Panels with Endogenous Regressors," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 13/23.
• Jiti Gao & Bin Peng & Yayi Yan, 2023, "Higher-order Expansions and Inference for Panel Data Models," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 14/23.
• Jiti Gao & Bin Peng & Yayi Yan, 2023, "A Localised Neural network with Dependent Data: Estimation and Inference," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 15/23.
• Didier Nibbering, 2023, "A High-dimensional Multinomial Logit Model," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 19/23.
• George Athanasopoulos & Rob J Hyndman & Nikolaos Kourentzes & Anastasios Panagiotelis, 2023, "Forecast Reconciliation: A Review," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 8/23.
• Magdalena Kozińska, 2023, "Zarządzanie kryzysowe w sektorze ubezpieczeniowym – o upadłości i resolution ubezpieczycieli w Polsce," Bank i Kredyt, Narodowy Bank Polski, volume 54, issue 6, pages 673-696.
• Ivan Canay & Gastón Illanes & Amilcar Velez, 2023, "A User's Guide to Inference in Models Defined by Moment Inequalities," NBER Working Papers, National Bureau of Economic Research, Inc, number 31040, Mar.
• Sören Blomquist & Anil Kumar & Che-Yuan Liang & Whitney Newey, 2023, "Nonlinear Budget Set Regressions for the Random Utility Model," NBER Working Papers, National Bureau of Economic Research, Inc, number 31194, Apr.
• Jinyong Hahn & John D. Singleton & Neşe Yildiz, 2023, "Identification of Non-Additive Fixed Effects Models: Is the Return to Teacher Quality Homogeneous?," NBER Working Papers, National Bureau of Economic Research, Inc, number 31384, Jun.
• Aaron L. Bodoh-Creed & Brent R. Hickman & John A. List & Ian Muir & Gregory K. Sun, 2023, "Stress Testing Structural Models of Unobserved Heterogeneity: Robust Inference on Optimal Nonlinear Pricing," NBER Working Papers, National Bureau of Economic Research, Inc, number 31647, Aug.
• Bryan T. Kelly & Semyon Malamud & Mohammad Pourmohammadi & Fabio Trojani, 2023, "Universal Portfolio Shrinkage," NBER Working Papers, National Bureau of Economic Research, Inc, number 32004, Dec.
• Tong Guo & Boya Xu & Daniel Yi Xu, 2023, "Social Media Publicity and New Product Entry via Entrepreneurs," Working Papers, NET Institute, number 23-06, Sep.
• Daniel J. Henderson & Stefan Sperlich, 2023, "A Complete Framework for Model-Free Difference-in-Differences Estimation," Foundations and Trends(R) in Econometrics, now publishers, volume 12, issue 3, pages 232-323, October, DOI: 10.1561/0800000046.
• Christian M Dahl & Martin Huber & Giovanni Mellace, 2023, "It is never too LATE: a new look at local average treatment effects with or without defiers," The Econometrics Journal, Royal Economic Society, volume 26, issue 3, pages 378-404.
• Viviana Celli & Augusto Cerqua & Guido Pellegrini, 2023, "The long-term effects of mass layoffs: do local economies (ever) recover?," Journal of Economic Geography, Oxford University Press, volume 23, issue 5, pages 1121-1144.
• Deniz Erdemlioglu & Xiye Yang, 2023, "News Arrival, Time-Varying Jump Intensity, and Realized Volatility: Conditional Testing Approach," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 5, pages 1519-1556.
• Zhutong Gu & Yixiao Jiang & Shuyang Yang, 2023, "Estimating Unobserved Soft Adjustment in Credit Rating Models: Before and after the Dodd–Frank Act," Journal of Financial Econometrics, Oxford University Press, volume 21, issue 5, pages 1791-1819.
• Alberto Abadie & Susan Athey & Guido W Imbens & Jeffrey M Wooldridge, 2023, "When Should You Adjust Standard Errors for Clustering?," The Quarterly Journal of Economics, President and Fellows of Harvard College, volume 138, issue 1, pages 1-35.
• José Luis Moraga-González & Zsolt Sándor & Matthijs R Wildenbeest, 2023, "Consumer Search and Prices in the Automobile Market," The Review of Economic Studies, Review of Economic Studies Ltd, volume 90, issue 3, pages 1394-1440.
• Ibujés-Villacís, Juan & Franco-Crespo, Antonio, 2023, "Relationship between Productivity and Efficiency with Sustainable Development Goals: The Case of the Manufacturing Industry in Pichincha, Ecuador
  [Relación entre productividad y eficiencia con los Objetivos de Desarrollo Sostenible: el caso de la ," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, volume 35, issue 1, pages 34-56, June, DOI: https://doi.org/10.46661/revmetodos.
• Eric Kemp-Benedict, 2023, "A test of “turbulent arbitrage”," Working Papers, Post Keynesian Economics Society (PKES), number PKWP2313, Sep.
• Ozili, Peterson K, 2023, "The acceptable R-square in empirical modelling for social science research," MPRA Paper, University Library of Munich, Germany, number 115769.
• Liu, Kaiola, 2023, "Quantitative and Qualitative Finance: ADSM," MPRA Paper, University Library of Munich, Germany, number 118399, Aug.
• Fantazzini, Dean & Xiao, Yufeng, 2023, "Detecting Pump-and-Dumps with Crypto-Assets: Dealing with Imbalanced Datasets and Insiders’ Anticipated Purchases," MPRA Paper, University Library of Munich, Germany, number 118435.
• Chen, Ying & Grith, Maria & Lai, Hannah L. H., 2023, "Neural Tangent Kernel in Implied Volatility Forecasting: A Nonlinear Functional Autoregression Approach," MPRA Paper, University Library of Munich, Germany, number 119022, Oct.
• LE BOENNEC, Rémy & SALLADARRE, Frédéric, 2023, "Investigating the use of privately-owned micromobility modes for commuting in four European countries," MPRA Paper, University Library of Munich, Germany, number 119202.
• Paulo M.M. Rodrigues & Gabriel Zsurkis, 2023, "First passage times in portfolio optimization: a novel nonparametric approach," Working Papers, Banco de Portugal, Economics and Research Department, number w202309.
• Valentin Zelenyuk & Zhichao Wang, 2023, "Random vs. Explained Inefficiency in Stochastic Frontier Analysis: The Case of Queensland Hospitals," CEPA Working Papers Series, School of Economics, University of Queensland, Australia, number WP052023, May.
• Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2023, "Statistical Inference for Hicks–Moorsteen Productivity Indices," CEPA Working Papers Series, School of Economics, University of Queensland, Australia, number WP082023, Oct.
• Léopold Simar & Valentin Zelenyuk & Shirong Zhao, 2023, "Russell and Slack-Based Measures of Efficiency: A Unifying Framework," CEPA Working Papers Series, School of Economics, University of Queensland, Australia, number WP092023, Nov.
• Stefano Piasenti & Marica Valente & Roel van Veldhuizen & Gregor Pfeifer, 2023, "Does Unfairness Hurt Women? The Effects of Losing Unfair Competitions," Rationality and Competition Discussion Paper Series, CRC TRR 190 Rationality and Competition, number 410, Jul.
• Marcus Roller, Daniel Steinberg, 2023, "Differences-in-Differences with multiple Treatments under Control," Diskussionsschriften, Universitaet Bern, Departement Volkswirtschaft - CRED, number credresearchpaper41, Jan.
• Elena Kossova & Mariia Kosorukova, 2023, "Estimation of the treatment effect of higher education on health: Comparison of the multivariate recursive probit model and matching," Applied Econometrics, Russian Academy of National Economy and Public Administration (RANEPA), volume 69, pages 65-90.
• Rahman Mohib & Irfan Ullah & Aurang Zeb, 2023, "Analysis of ASEAN’s Stock Returns and/or Volatility Distribution under the Impact of the Chinese EPU: Evidence Based on Conditional Kernel Density Approach," East Asian Economic Review, Korea Institute for International Economic Policy, volume 27, issue 1, pages 33-60, DOI: 10.11644/KIEP.EAER.2023.27.1.417.
• Kyungjin Park & Hojin Lee, 2023, "In-Sample and Out-of-Sample Predictability of Cryptocurrency Returns," East Asian Economic Review, Korea Institute for International Economic Policy, volume 27, issue 3, pages 213-242, DOI: 10.11644/KIEP.EAER.2023.27.3.423.
• Jannik Fleiter & Ayse Tugba Atasoy & Reinhard Madlener, 2023, "Household Responses to the Tax Treatment of Income from Solar PV Feed-in in Germany," FCN Working Papers, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN), number 8/2023, Aug.
• Tito Nestor TIEHI, 2023, "Impact of HIV and Covid-19 pandemics on ivorian health system efficiency," Bulletin of Applied Economics, Risk Market Journals, volume 10, issue 1, pages 103-113.
• Mehmet Güney CelbiÅŸ & Nathalie Havet & Louafi Bouzouina, 2023, "A Non-Linear And Interaction Effect Analysis Of Distance And Transport Accessibility On Bicycle Use: The Example Of The University Staff In Lyon (France)," Romanian Journal of Regional Science, Romanian Regional Science Association, volume 17, issue 2, pages 1-25, DECEMBER.
• Muhammad Zakaria & Seemab Tanveer & Bashir Ahmad Fida & Muhammad Iftikhar ul Husnain, 2023, "Inflation Differential Pass-Through to Exchange Rate: Some Evidence From Pakistan," SAGE Open, , volume 13, issue 4, pages 21582440231, December, DOI: 10.1177/21582440231221316.
• Maximo Camacho & Andres Romeu, 2023, "Tourism and Gross Domestic Product short-run causality revisited: A symbolic transfer entropy approach," Tourism Economics, , volume 29, issue 1, pages 235-247, February, DOI: 10.1177/13548166211045756.
• Juan Gabriel Brida & Bibiana Lanzilotta & Leonardo Moreno, 2023, "Compositional tourists’ expenditure: Modeling through Dirichlet regression," Tourism Economics, , volume 29, issue 6, pages 1442-1460, September, DOI: 10.1177/13548166221108819.
• Wojciech Kurylek, 2023, "The modeling of earnings per share of Polish companies for the post-financial crisis periodusing random walk and ARIMA models," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, volume 1, issue 19, pages 26-43, DOI: 10.7172/2353-6845.jbfe.2023.1.2.
• Anna Filipek & Krzysztof Spirzewski, 2023, "Efficiency of the banking sector in Polandcompared to other countries in the region," Journal of Banking and Financial Economics, University of Warsaw, Faculty of Management, volume 1, issue 19, pages 57-84, DOI: 10.7172/2353-6845.jbfe.2023.1.4.
• Sungwon Lee, 2023, "Efficient Estimation of a Triangular System of Equations for Quantile Regression," Working Papers, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), number 2301.
• Sungwon Lee, 2023, "Efficient Estimation of Binary Choice Models with Panel Data," Working Papers, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy), number 2302.
• Paul W. Wilson & Shirong Zhao, 2023, "Investigating the performance of Chinese banks over 2007–2014," Annals of Operations Research, Springer, volume 321, issue 1, pages 663-692, February, DOI: 10.1007/s10479-022-04925-8.
• Daniel Goller, 2023, "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Annals of Operations Research, Springer, volume 325, issue 1, pages 649-679, June, DOI: 10.1007/s10479-022-04563-0.
• Rey Đặng & Lubica Hikkerova & Michel Simioni & Jean-Michel Sahut, 2023, "How do women on corporate boards shape corporate social performance? Evidence drawn from semiparametric regression," Annals of Operations Research, Springer, volume 330, issue 1, pages 361-388, November, DOI: 10.1007/s10479-022-04550-5.
• Meitner Cadena & Michel Denuit, 2023, "Mortality projections for higher educational attainment with semi-parametric accelerated hazard relational models," Decisions in Economics and Finance, Springer;Associazione per la Matematica, volume 46, issue 2, pages 569-582, December, DOI: 10.1007/s10203-023-00391-4.
• Mario Figueiredo & Yuri F. Saporito, 2023, "Forecasting the term structure of commodities future prices using machine learning," Digital Finance, Springer, volume 5, issue 1, pages 57-90, March, DOI: 10.1007/s42521-022-00069-3.
• Daniel Ollech & Deutsche Bundesbank, 2023, "Economic analysis using higher-frequency time series: challenges for seasonal adjustment," Empirical Economics, Springer, volume 64, issue 3, pages 1375-1398, March, DOI: 10.1007/s00181-022-02287-5.
• Mihai Mutascu & Alexandre Sokic, 2023, "An extended wavelet approach of the money–output link in the United States," Empirical Economics, Springer, volume 64, issue 4, pages 1647-1665, April, DOI: 10.1007/s00181-022-02294-6.
• Oscar Claveria & Petar Sorić, 2023, "Labour market uncertainty after the irruption of COVID-19," Empirical Economics, Springer, volume 64, issue 4, pages 1897-1945, April, DOI: 10.1007/s00181-022-02304-7.
• Frédérique Fève & Jean-Pierre Florens & Léopold Simar, 2023, "Proportional incremental cost probability functions and their frontiers," Empirical Economics, Springer, volume 64, issue 6, pages 2721-2756, June, DOI: 10.1007/s00181-023-02386-x.
• Stefan Tübbicke, 2023, "When to use matching and weighting or regression in instrumental variable estimation? Evidence from college proximity and returns to college," Empirical Economics, Springer, volume 65, issue 6, pages 2979-2999, December, DOI: 10.1007/s00181-023-02441-7.
• Juan D. Montoro-Pons & María Caballer-Tarazona & Manuel Cuadrado-García, 2023, "Assessing complementarities between live performances and YouTube video streaming," Empirical Economics, Springer, volume 65, issue 6, pages 2953-2978, December, DOI: 10.1007/s00181-023-02444-4.
• Riccardo Lucchetti & Francesco Valentini, 2023, "Kernel-based time-varying IV estimation: handle with care," Empirical Economics, Springer, volume 65, issue 6, pages 3001-3026, December, DOI: 10.1007/s00181-023-02450-6.
• Bahram Fathi & Malihe Ashena & Majid Anisi, 2023, "Efficiency evaluation of sustainability indicators in a two-stage network structure: a Nash bargaining game approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, volume 25, issue 2, pages 1832-1851, February, DOI: 10.1007/s10668-022-02325-3.
• Manuel Melo Mateus & Margarida Catalão-Lopes & Rui Portugal, 2023, "Survival analysis of cancer patients in Portugal following the reference centre model implementation," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), volume 24, issue 2, pages 157-168, March, DOI: 10.1007/s10198-022-01461-x.
• Koki Kyo & Genshiro Kitagawa, 2023, "A Moving Linear Model Approach for Extracting Cyclical Variation from Time Series Data," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), volume 19, issue 3, pages 373-397, November, DOI: 10.1007/s41549-023-00089-x.
• Jamal Ali Al-Khasawneh & Naceur Essaddam & Salah A. Nusair & Benito A. Sanchez, 2023, "Productivity-conditioned market reaction of US Bank acquisitions during regulation-deregulation eras," Journal of Economics and Finance, Springer;Academy of Economics and Finance, volume 47, issue 2, pages 368-385, June, DOI: 10.1007/s12197-022-09610-x.
• Fabio Clementi & Vasco Molini & Francesco Schettino & Haider A. Khan & Michele Fabiani, 2023, "Polarization and its discontents: Morocco before and after the Arab Spring," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, volume 21, issue 1, pages 105-129, March, DOI: 10.1007/s10888-022-09546-6.
• Kien C. Tran & Mike G. Tsionas, 2023, "Semiparametric estimation of a spatial autoregressive nonparametric stochastic frontier model," Journal of Spatial Econometrics, Springer, volume 4, issue 1, pages 1-28, December, DOI: 10.1007/s43071-023-00036-z.
• Mohamed-Salem Ahmed & Mamadou N’diaye & Mohammed Kadi Attouch & Sophie Dabo-Niange, 2023, "k-nearest neighbors prediction and classification for spatial data," Journal of Spatial Econometrics, Springer, volume 4, issue 1, pages 1-34, December, DOI: 10.1007/s43071-023-00041-2.
• K. Kounetas & G. Androulakis & M. Kaisari & G. Manousakis, 2023, "Educational reforms and secondary school's efficiency performance in Greece: a bootstrap DEA and multilevel approach," Operational Research, Springer, volume 23, issue 1, pages 1-29, March, DOI: 10.1007/s12351-023-00764-y.
• Giuseppe Pernagallo & Benedetto Torrisi, 2023, "Human capital mobility patterns in the European Union and the financial crisis," Quality & Quantity: International Journal of Methodology, Springer, volume 57, issue 2, pages 1791-1820, April, DOI: 10.1007/s11135-022-01437-2.
• Dimitrios Panagiotou & Athanassios Stavrakoudis, 2023, "Price dependence among the major EU extra virgin olive oil markets: a time scale analysis," Review of Agricultural, Food and Environmental Studies, Springer, volume 104, issue 1, pages 1-26, March, DOI: 10.1007/s41130-022-00175-1.
• Jinyong Hahn, 2023, "Properties of least squares estimator in estimation of average treatment effects," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, volume 14, issue 3, pages 301-313, December, DOI: 10.1007/s13209-023-00279-x.
• Richard K. Moussa & Eric Delattre, 2023, "Dynamics of interactions between health and employment statuses: a panel data approach," SN Business & Economics, Springer, volume 3, issue 8, pages 1-26, August, DOI: 10.1007/s43546-023-00537-x.
• Tingting Chen & Anthony Francis Desmond & Peter Adamic, 2023, "Generalized Additive Modelling of Dependent Frequency and Severity Distributions for Aggregate Claims," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, volume 12, issue 4, pages 1-1.
• Matteo Coronese & Federico Crippa & Francesco Lamperti & Francesca Chiaromonte & Andrea Roventini, 2023, "Raided by the storm: how three decades of thunderstorms shaped U.S. incomes and wages," LEM Papers Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number 2023/40, Nov.
• Martin Burda & Remi Daviet, 2023, "Hamiltonian sequential Monte Carlo with application to consumer choice behavior," Econometric Reviews, Taylor & Francis Journals, volume 42, issue 1, pages 54-77, January, DOI: 10.1080/07474938.2022.2140982.
• Hao Dong & Taisuke Otsu & Luke Taylor, 2023, "Bandwidth selection for nonparametric regression with errors-in-variables," Econometric Reviews, Taylor & Francis Journals, volume 42, issue 4, pages 393-419, April, DOI: 10.1080/07474938.2023.2191105.
• Kohtaro Hitomi & Masamune Iwasawa & Yoshihiko Nishiyama, 2023, "Optimal minimax rates of specification testing with data-driven bandwidth," Econometric Reviews, Taylor & Francis Journals, volume 42, issue 6, pages 487-512, June, DOI: 10.1080/07474938.2023.2198929.
• Manuel Arellano & Stéphane Bonhomme, 2023, "Recovering Latent Variables by Matching," Journal of the American Statistical Association, Taylor & Francis Journals, volume 118, issue 541, pages 693-706, January, DOI: 10.1080/01621459.2021.1952877.
• William C. Horrace & Hyunseok Jung & Yoonseok Lee, 2023, "LASSO for Stochastic Frontier Models with Many Efficient Firms," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 41, issue 4, pages 1132-1142, October, DOI: 10.1080/07350015.2022.2110881.
• Caio Almeida & Gustavo Freire & Rafael Azevedo & Kym Ardison, 2023, "Nonparametric Option Pricing with Generalized Entropic Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 41, issue 4, pages 1173-1187, October, DOI: 10.1080/07350015.2022.2115499.
• Bryan S. Graham & Geert Ridder & Petra Thiemann & Gema Zamarro, 2023, "Teacher-to-Classroom Assignment and Student Achievement," Journal of Business & Economic Statistics, Taylor & Francis Journals, volume 41, issue 4, pages 1328-1340, October, DOI: 10.1080/07350015.2022.2126480.
• Josè L. Moraga González & Zsolt Sándor & Matthijs Wildenbeest, 2023, "A Framework for the Estimation of Demand for Differentiated Products with Simultaneous Consumer Search," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 23-015/VII, Mar.
• Yicong Lin & Mingxuan Song, 2023, "Robust bootstrap inference for linear time-varying coefficient models: Some Monte Carlo evidence," Tinbergen Institute Discussion Papers, Tinbergen Institute, number 23-049/III, Aug.
• Prosper Dovonon & Yves F. Atchadé & Firmin Doko Tchatoka, 2023, "Efficiency bounds for moment condition models with mixed identification strength," Adelaide Economics Working Papers, Adelaide University, School of Economics, number 2023-01 Classification-C0, Apr.
• Shuo Liu & Nick Netzer, 2023, "Happy Times: Measuring Happiness Using Response Times," American Economic Review, American Economic Association, volume 113, issue 12, pages 3289-3322, December, DOI: 10.1257/aer.20211051.
• Montes Rojas Gabriel & Alejo Javier & Galvao Antonio & Martínez-Iriarte Julián, 2023, "Unconditional Quantile Partial Effects via Conditional Quantile Regression," Asociación Argentina de Economía Política: Working Papers, Asociación Argentina de Economía Política, number 4674, Nov.
• Karim M Abadir & Michel Lubrano, 2023, "Explicit solutions for the asymptotically-optimal bandwidth in cross validation," AMSE Working Papers, Aix-Marseille School of Economics, France, number 2336, Dec.
• Hafner, Christian M. & Herwartz, Helmut & Wang, Shu, 2023, "Causal inference with (partially) independent shocks and structural signals on the global crude oil market," LIDAM Discussion Papers ISBA, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA), number 2023004, Jan.
• 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.
• Prince Octave ADOUMA, 2023, "Transferts de fonds des migrants et dettes publiques dans la zone CEMAC," International Journal of Accounting, Finance, Auditing, Management and Economics, Faculté d'Économie et de Gestion, Université Ibn Tofaïl de Kénitra, volume 4, issue 4-2, pages 247-263.
• 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.
• Liang Chen & Juan Jose Dolado & Jesus Gonzalo & Haozi Pan, 2023, "Estimation of Characteristics-based Quantile Factor Models," Papers, arXiv.org, number 2304.13206, 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 Jul 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.
• Nicholas Brown, 2023, "Information Equivalence among Transformations of Semi‐parametric Nonlinear Panel Data Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, volume 85, issue 6, pages 1341-1361, December, DOI: 10.1111/obes.12569.
• 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.
• Chen, Liang & Dolado, Juan José & Gonzalo, Jesús & Pan, Haozi, 2023, "Estimation of characteristics-based quantile factor models," UC3M Working papers. Economics, Universidad Carlos III de Madrid. Departamento de Economía, number 37095, Apr.
• 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, International Journal of Energy Economics and Policy, 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.