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
/ / / C13: Estimation: General

2023

• Elizondo Rocío, 2023, "The Three Intelligible Factors of the Yield Curve in Mexico," Working Papers, Banco de México, number 2023-13, Nov.
• Jimoh Sina Ogede & Musa Olanrewaju Oduola & Olumuyiwa Ganiyu Yinusa & Lukman Raimi, 2023, "Modelling The Influence Of Financial Inclusion On The Remittancegrowth Nexus In Nigeria," Economic Annals, Faculty of Economics and Business, University of Belgrade, volume 68, issue 237, pages 137-163, April – J.
• Jan Ditzen & Yiannis Karavias & Joakim Westerlund, 2023, "Multiple structural breaks in interactive effects panel data and the impace of quantitative easing on bank lending," Discussion Papers, Department of Economics, University of Birmingham, number 23-02, Jan.
• Nguyễn Minh Kiều & Võ Xuân Diệu, 2023, "Quyết định giao dịch chứng khoán phái sinh: Bằng chứng nghiên cứu thực nghiệm ở Việt Nam," TẠP CHÍ KHOA HỌC ĐẠI HỌC MỞ THÀNH PHỐ HỒ CHÍ MINH - KINH TẾ VÀ QUẢN TRỊ KINH DOANH, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, volume 18, issue 4, pages 5-19, DOI: 10.46223/HCMCOUJS.econ.vi.18.4.2201.
• Evgeny Danilov, 2023, "Impact of Market Changes and Regulatory Measures on Accuracy of Bond Valuation in Portfolios of Russian Credit Institutions," Russian Journal of Money and Finance, Bank of Russia, volume 82, issue 4, pages 108-125, December.
• Shuping Shi & Peter C.B. Phillips, 2023, "Diagnosing housing fever with an econometric thermometer," Journal of Economic Surveys, Wiley Blackwell, volume 37, issue 1, pages 159-186, February, DOI: 10.1111/joes.12430.
• Kaiji Chen & Haoyu Gao & Patrick Higgins & Daniel F. Waggoner & Tao Zha, 2023, "Monetary Stimulus amidst the Infrastructure Investment Spree: Evidence from China's Loan‐Level Data," Journal of Finance, American Finance Association, volume 78, issue 2, pages 1147-1204, April, DOI: 10.1111/jofi.13204.
• Felix Kapfhammer, 2023, "The Economic Consequences of Effective Carbon Taxes," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 01/2023, Jan.
• Yoosoon Chang & Ana María Herrera & Elena Pesavento, 2023, "Oil Prices Uncertainty, Endogenous Regime Switching, and Inflation Anchoring," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 02/2023, Feb.
• Hilde C. Bjørnland & Yoosoon Chang & Jamie L. Cross, 2023, "Oil and the Stock Market Revisited: A mixed functional VAR approach," Working Papers, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School, number No 03/2023, Mar.
• Liu-Evans Gareth, 2023, "Improving the Estimation and Predictions of Small Time Series Models," Journal of Time Series Econometrics, De Gruyter, volume 15, issue 1, pages 1-26, January, DOI: 10.1515/jtse-2021-0051.
• Asai Manabu & So Mike K. P., 2023, "Realized BEKK-CAW Models," Journal of Time Series Econometrics, De Gruyter, volume 15, issue 1, pages 49-77, January, DOI: 10.1515/jtse-2022-0009.
• Tayanagi Toshikazu & Kurozumi Eiji, 2023, "In-Fill Asymptotic Distribution of the Change Point Estimator when Estimating Breaks One at a Time," Journal of Time Series Econometrics, De Gruyter, volume 15, issue 2, pages 111-149, July, DOI: 10.1515/jtse-2022-0013.
• Gourieroux Christian & Jasiak Joann, 2023, "Temporally Local Maximum Likelihood with Application to SIS Model," Journal of Time Series Econometrics, De Gruyter, volume 15, issue 2, pages 151-198, July, DOI: 10.1515/jtse-2022-0016.
• Lamadrid-Contreras Arturo & Ramírez-Rondán Nelson R., 2023, "Panel data models with two threshold variables," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 3, pages 315-333, June, DOI: 10.1515/snde-2020-0048.
• Zheng Xiaobing & Xia Qiang & Liang Rubing, 2023, "Bayesian inference for order determination of double threshold variables autoregressive models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, volume 27, issue 4, pages 567-587, September, DOI: 10.1515/snde-2020-0096.
• Jan Ditzen & Yiannis Karavias & Joakim Westerlund, 2023, "Multiple Structural Breaks in Interactive Effects Panel Data and the Impact of Quantitative Easing on Bank Lending," BEMPS - Bozen Economics & Management Paper Series, Faculty of Economics and Management at the Free University of Bozen, number BEMPS99, Feb.
• Houssein Ballouk & Salma Mefteh-Wali & Ghada Tabbah & Sami Ben Jabeur, 2023, "Institutional Investors and Public Authority Ownership Impact on Green Bonds Issue: Evidence from France," Journal of Innovation Economics, De Boeck Université, volume 0, issue 2, pages 51-73.
• Johnsson, I. & Pesaran, M. H. & Yang, C. F., 2023, "Structural Econometric Estimation of the Basic Reproduction Number for Covid-19 Across U.S. States and Selected Countries," Cambridge Working Papers in Economics, Faculty of Economics, University of Cambridge, number 2360, Sep.
• Tomas Micko & Alexander Karsay & Zuzana Mucka & Lucia Sramkova, 2023, "Closer to Finding Yeti," Working Papers, Council for Budget Responsibility, number Working Paper No. 1/2023, Aug.
• Surender Kumar & Paramjit Author-Department of Economics, Delhi School of Economics, 2023, "Does Financial Inclusion Enhance Tax Revenue: Indian Experience," Working papers, Centre for Development Economics, Delhi School of Economics, number 335, May.
• Camilla Mastromarco & Laura Serlenga & Yongcheol Shin, 2023, "Regional Productivity Network in the EU," CESifo Working Paper Series, CESifo, number 10404.
• Ida Johnsson & M. Hashem Pesaran & Cynthia Fan Yang, 2023, "Structural Econometric Estimation of the Basic Reproduction Number for Covid-19 across U.S. States and Selected Countries," CESifo Working Paper Series, CESifo, number 10659.
• Guglielmo Maria Caporale & Silvia García Tapia & Luis Alberiko Gil-Alana, 2023, "Persistence in Tax Revenues: Evidence from Some OECD Countries," CESifo Working Paper Series, CESifo, number 10682.
• Arne J. Nagengast & Yoto V. Yotov, 2023, "Staggered Difference-in-Differences in Gravity Settings: Revisiting the Effects of Trade Agreements," CESifo Working Paper Series, CESifo, number 10782.
• Christina Anderl & Guglielmo Maria Caporale, 2023, "Shipping Cost Uncertainty, Endogenous Regime Switching and the Global Drivers of Inflation," CESifo Working Paper Series, CESifo, number 10798.
• Alberto Quaini & Fabio Trojani & Ming Yuan, 2023, "Tradable Factor Risk Premia and Oracle Tests of Asset Pricing Models," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 23-81, Sep.
• Jorge Leonardo Rodríguez Arenas & Luis Fernando Gamboa, 2023, "Debunking Myths: Do ict Really Favor One Gender in Middle Education? The Case of Colombia," Revista de Economía del Rosario, Universidad del Rosario, volume 26, issue 2, pages 1-32.
• Ngah Ntiga, Louis Henri & Badjeck Mvondo, Laureine, 2023, "Impact de la guerre russo-ukrainienne sur le cours des produits de base exportés par les pays de la CEMAC," Dynare Working Papers, CEPREMAP, number 79, Jun.
• Alessandri, Piergiorgio & Jordà , Ã’scar & Venditti, Fabrizio, 2023, "Decomposing the monetary policy multiplier," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18166, May.
• Mehl, Arnaud & Mlikota, Marko & Van Robays, Ine, 2023, "How Does a Dominant Currency Replace Another? Evidence from European Trade," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18264, Jul.
• Dendramis, Yiannis & Kapetanios, George & Marcellino, Massimiliano, 2023, "Time Varying Three Pass Regression Filter," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 18547, Oct.
• François Cochard & Alexandre Flage, 2023, "Sharing Losses in Dictator and Ultimatum Games: A Meta-Analysis," Working Papers, CRESE, number 2023-09, Dec.
• Aisha Fayomi & Yannis Pantazis & Michail Tsagris & Andrew Wood, 2023, "Cauchy Robust Principal Component Analysis with Applications to High-Dimensional Data Sets," Working Papers, University of Crete, Department of Economics, number 2304, Feb.
• Michail Tsagris & Omar Alzeley, 2023, "Circular and Spherical Projected Cauchy Distributions," Working Papers, University of Crete, Department of Economics, number 2305, Feb.
• Antonio Pérez Cambriles & Sonia Benito Muela, 2023, "Assessing the structure dependence between the Spanish stock market and some international financial markets. A time-varying copula analysis," Revista de Economía y Finanzas (REyF), Asociación Cuadernos de Economía, volume 1, issue 1, pages 87-122, Enero.
• Kyriacou, Maria & Phillips, Peter C.B. & Rossi, Francesca, 2023, "Continuously Updated Indirect Inference In Heteroskedastic Spatial Models," Econometric Theory, Cambridge University Press, volume 39, issue 1, pages 107-145, February.
• Justus Meyer & Federica Teppa, 2023, "Euro area consumers' payment behaviour and banking digitalisation," Working Papers, DNB, number 772, Mar.
• Louise Ella Desquith, 2023, "Impact of climate change beliefs on farm households’ adaptation behaviors: the case of Ivory Coast," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2023-5.
• Manganelli, Simone, 2023, "Double conditioning: the hidden connection between Bayesian and classical statistics," Working Paper Series, European Central Bank, number 2786, Feb.
• Florence Barugahara & Mildred Barungi, 2023, "Characteristics, Determinants, Challenges and Performance of Self-employment among the Youth in Uganda," International Journal of Economics and Financial Issues, Econjournals, volume 13, issue 3, pages 1-10, May.
• Bibigul Izatullayeva & Gulzhanat Tayauova & Gulnara Sadykova & Madina Toktibayeva & Altynbek Kenzhaliyev, 2023, "A Comparison of the Returns of Oil and Energy Companies Quoted in Kase and the Returns of the Kase Index, Exchange Rate, and Selected International Energy Indices," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 1, pages 395-402, January.
• Faisal Irsan Pasaribu & Catra Indra Cahyadi & Restu Mujiono & Suwarno Suwarno, 2023, "Analysis of the Effect of Economic, Population, and Energy Growth, as well as the Influence on Sustainable Energy Development in Indonesia," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 1, pages 510-517, January.
• Baltaim Sabenova & Indira Baubekova & Gulmira Issayeva & Zarema Bigeldiyeva & Artur Bolganbayev, 2023, "Comparative Analysis of Volatility Structures of Stock Index and Energy Company Returns in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 2, pages 200-206, March.
• Zhazira Taibek & Indira Kozhamkulova & Almas Kuralbayev & Bagdat K. Spanova & Kundyz Myrzabekkyzy, 2023, "Analysis of the Effect of Oil and Energy Production on Health and Education Expenditures in Kazakhstan with Autoregressive Distributed Lag Method," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 2, pages 215-221, March.
• Tanattrin Bunnag, 2023, "Analyzing Short-run and Long-run Causality Relationship among CO2 Emission, Energy Consumption, GDP, Square of GDP, and Foreign Direct Investment in Environmental Kuznets Curve for Thailand," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 2, pages 341-348, March.
• Elmira Y. Zhussipova & Serikbay Saduakasuly Ydyrys & Ulmeken Makhanbetova & Gulzhanat Tayauova & Zhansulu Pirmanova, 2023, "The Relationship between the Highest Prices and Trading Volume in the Share Indices of Energy and Oil Companies in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 3, pages 28-35, May.
• Gaukhar Niyetalina & Elmira Balapanova & Almas Kuralbayev & Gulnar Lukhmanova & Artur Bolganbayev, 2023, "The Relationship of Energy Generation from Fossil Fuels, Low Carbon Resources, and Renewable Resources and Inflation within the Framework of Taylor s Rule: The Case of Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 4, pages 9-15, July.
• Tazhikul Mashirova & Karlygash Tastanbekova & Murat Nurgabylov & Gulnar Lukhmanova & Kundyz Myrzabekkyzy, 2023, "Analysis of the Relationship between the Highest Price and the Trading Volume of the Energy Company Shares in Kazakhstan with Frequency Domain Causality Method," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 4, pages 22-27, July.
• Catra Indra Cahyadi & Suwarno Suwarno & Aminah Asmara Dewi & Musri Kona & Muhammad Arif & Muhammad Caesar Akbar, 2023, "Solar Prediction Strategy for Managing Virtual Power Stations," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 4, pages 503-512, July.
• Aina B. Aidarova & Gulshat Abdimutalipovna Zhadigerova & Ainur Abilkassym & Lyailya Abdybayevna Baibulekova & Dina B. Balabekova & Saule A. Ilasheva, 2023, "Analysis of the Relationship between Energy Consumption, Foreign Direct Investment, and Labor Force Participation by Vector Error Correction Model: The Case of Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 5, pages 108-114, September.
• Saule Bekzhanova & Gulzhanat Tayauova & Serik Akhanov & Gulnar B. Tuleshova & Artur Bolganbayev & Gulnara M. Moldogaziyeva, 2023, "The Relationship between Gold and Oil Prices and the Stock Market Returns of Kazakh Energy Companies: Comparison of the pre-COVID-19 and post-COVID-19 Periods," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 5, pages 8-14, September.
• Saken Ualikhanovich Abdibekov & Bauyrzhan Susaruly Kulbay & Yelena Evgenevna Gridneva & Gulnar Shaimardanovna Kaliakparova & Tolendi Aripbaevich Ashimbayev & Gulmira Amangeldiyevna Perneyeva, 2023, "The Relationship between the Share of Renewable Energy in Total Energy Consumption and Economic Growth: Kazakhstan and Turkiye Comparision," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 5, pages 24-30, September.
• Gulmira Issayeva & Zhanar Dyussembekova & Aina B. Aidarova & Adelina B. Makhatova & Gulnar Lukhmanova & Dariya Absemetova & Artur Bolganbayev, 2023, "The Relationship between Renewable Energy Consumption, CO2 Emissions, Economic Growth, and Industrial Production Index: The Case of Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 6, pages 1-7, November.
• Gulbakhram Sartbayeva & Elmira Balapanova & Darkhan Kozhanovich Mamytkanov & Lyazat Talimova & Gulnar Lukhmanova & Kundyz Myrzabekkyzy, 2023, "The Relationship between Energy Consumption (Renewable Energy), Economic Growth and Agro-Industrial Complex in Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 6, pages 227-233, November.
• Salim Bagadeem, 2023, "Oil Volatility and Economic Growth: Evidences from Top Oil Trading Countries," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 6, pages 381-387, November.
• Leila Taleb Marandi Aziz & Reza Moghaddasi & Nematollah Moosavi, 2023, "On the Asymmetry of the Nexus between Governance and Environmental Pollution," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 6, pages 475-481, November.
• Zhanar Dyussembekova & Aina B. Aidarova & Elmira Balapanova & Dilmina Kuatova & Gaukhar Zh. Seitkhamzina & Artur Bolganbayev, 2023, "The Effect of Freight and Passenger Transportation and Energy Production on Economic Growth in the Framework of Macro-Economic Indicators: The Case of Kazakhstan," International Journal of Energy Economics and Policy, Econjournals, volume 13, issue 6, pages 74-80, November.
• Gautam, Sanghmitra, 2023, "Quantifying welfare effects in the presence of externalities: An ex-ante evaluation of sanitation interventions," Journal of Development Economics, Elsevier, volume 164, issue C, DOI: 10.1016/j.jdeveco.2023.103083.
• Amin, Sakib Bin & Taghizadeh-Hesary, Farhad, 2023, "Tourism, sustainability, and the economy in Bangladesh: The innovation connection amidst Covid-19," Economic Analysis and Policy, Elsevier, volume 79, issue C, pages 153-167, DOI: 10.1016/j.eap.2023.06.018.
• Zhang, Jinyu & Zhang, Qiaosen & Li, Yong & Wang, Qianchao, 2023, "Sequential Bayesian inference for agent-based models with application to the Chinese business cycle," Economic Modelling, Elsevier, volume 126, issue C, DOI: 10.1016/j.econmod.2023.106381.
• Aragón, Edilean Kleber da Silva Bejarano & Galvão, Ana Beatriz, 2023, "Shock-based inference on the Phillips curve with the cost channel," Economic Modelling, Elsevier, volume 126, issue C, DOI: 10.1016/j.econmod.2023.106419.
• Liu, Wei & Garrett, Ian, 2023, "Regime-dependent effects of macroeconomic uncertainty on realized volatility in the U.S. stock market," Economic Modelling, Elsevier, volume 128, issue C, DOI: 10.1016/j.econmod.2023.106483.
• Dessy, Sylvain & Gninafon, Horace & Tiberti, Luca & Tiberti, Marco, 2023, "Free compulsory education can mitigate COVID-19 disruptions’ adverse effects on child schooling," Economics of Education Review, Elsevier, volume 97, issue C, DOI: 10.1016/j.econedurev.2023.102480.
• Díaz, Antonio & Esparcia, Carlos & Huélamo, Diego, 2023, "Stablecoins as a tool to mitigate the downside risk of cryptocurrency portfolios," The North American Journal of Economics and Finance, Elsevier, volume 64, issue C, DOI: 10.1016/j.najef.2022.101838.
• Li, Boyan & Diao, Xundi, 2023, "Structural break in different stock index markets in China," The North American Journal of Economics and Finance, Elsevier, volume 65, issue C, DOI: 10.1016/j.najef.2023.101882.
• Wang, Xiangning & Huang, Qian & Zhang, Shuguang, 2023, "Effects of macroeconomic factors on stock prices for BRICS using the variational mode decomposition and quantile method," The North American Journal of Economics and Finance, Elsevier, volume 67, issue C, DOI: 10.1016/j.najef.2023.101939.
• Zhang, Xiaoge & Chen, Maolong, 2023, "Indirect inference approach to estimating dynamic panel data models with irregular spacing," Economics Letters, Elsevier, volume 226, issue C, DOI: 10.1016/j.econlet.2023.111069.
• Chen, Xingyi & Li, Haiqi & Zhang, Jing, 2023, "Complete subset averaging approach for high-dimensional generalized linear models," Economics Letters, Elsevier, volume 226, issue C, DOI: 10.1016/j.econlet.2023.111084.
• 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.
• Wagner, Martin, 2023, "Fully modified least squares estimation and inference for systems of cointegrating polynomial regressions," Economics Letters, Elsevier, volume 228, issue C, DOI: 10.1016/j.econlet.2023.111186.
• Matsumura, Yuri & Otani, Suguru, 2023, "Resolving the conflict on conduct parameter estimation in homogeneous goods markets between Bresnahan (1982) and Perloff and Shen (2012)," Economics Letters, Elsevier, volume 229, issue C, DOI: 10.1016/j.econlet.2023.111193.
• Ardakani, Omid M., 2023, "Capturing information in extreme events," Economics Letters, Elsevier, volume 231, issue C, DOI: 10.1016/j.econlet.2023.111301.
• Zhou, Ruichao & Wu, Jianhong, 2023, "Determining the number of change-points in high-dimensional factor models by cross-validation with matrix completion," Economics Letters, Elsevier, volume 232, issue C, DOI: 10.1016/j.econlet.2023.111350.
• Chen, Qiang & Yan, Guanpeng, 2023, "On the two algorithms for estimating interactive fixed effects models in Bai (2009)," Economics Letters, Elsevier, volume 233, issue C, DOI: 10.1016/j.econlet.2023.111395.
• Rabovič, Renata & Čížek, Pavel, 2023, "Estimation of spatial sample selection models: A partial maximum likelihood approach," Journal of Econometrics, Elsevier, volume 232, issue 1, pages 214-243, DOI: 10.1016/j.jeconom.2021.10.011.
• Rossi, Francesca & Robinson, Peter M., 2023, "Higher-order least squares inference for spatial autoregressions," Journal of Econometrics, Elsevier, volume 232, issue 1, pages 244-269, DOI: 10.1016/j.jeconom.2022.01.010.
• Kheifets, Igor L. & Phillips, Peter C.B., 2023, "Fully modified least squares cointegrating parameter estimation in multicointegrated systems," Journal of Econometrics, Elsevier, volume 232, issue 2, pages 300-319, DOI: 10.1016/j.jeconom.2021.07.002.
• Dellaportas, Petros & Titsias, Michalis K. & Petrova, Katerina & Plataniotis, Anastasios, 2023, "Scalable inference for a full multivariate stochastic volatility model," Journal of Econometrics, Elsevier, volume 232, issue 2, pages 501-520, DOI: 10.1016/j.jeconom.2021.09.013.
• Bai, Yuehao, 2023, "Why randomize? Minimax optimality under permutation invariance," Journal of Econometrics, Elsevier, volume 232, issue 2, pages 565-575, DOI: 10.1016/j.jeconom.2021.10.009.
• Miao, Ke & Phillips, Peter C.B. & Su, Liangjun, 2023, "High-dimensional VARs with common factors," Journal of Econometrics, Elsevier, volume 233, issue 1, pages 155-183, DOI: 10.1016/j.jeconom.2022.02.002.
• Duan, Jiangtao & Bai, Jushan & Han, Xu, 2023, "Quasi-maximum likelihood estimation of break point in high-dimensional factor models," Journal of Econometrics, Elsevier, volume 233, issue 1, pages 209-236, DOI: 10.1016/j.jeconom.2021.12.011.
• Higgins, Ayden & Martellosio, Federico, 2023, "Shrinkage estimation of network spillovers with factor structured errors," Journal of Econometrics, Elsevier, volume 233, issue 1, pages 66-87, DOI: 10.1016/j.jeconom.2021.11.017.
• Blasques, F. & Francq, Christian & Laurent, Sébastien, 2023, "Quasi score-driven models," Journal of Econometrics, Elsevier, volume 234, issue 1, pages 251-275, DOI: 10.1016/j.jeconom.2021.12.005.
• Hwang, Jungbin & Valdés, Gonzalo, 2023, "Finite-sample corrected inference for two-step GMM in time series," Journal of Econometrics, Elsevier, volume 234, issue 1, pages 327-352, DOI: 10.1016/j.jeconom.2021.12.007.
• Centorrino, Samuele & Pérez-Urdiales, María, 2023, "Maximum likelihood estimation of stochastic frontier models with endogeneity," Journal of Econometrics, Elsevier, volume 234, issue 1, pages 82-105, DOI: 10.1016/j.jeconom.2021.09.019.
• Shi, Zhentao & Huang, Jingyi, 2023, "Forward-selected panel data approach for program evaluation," Journal of Econometrics, Elsevier, volume 234, issue 2, pages 512-535, DOI: 10.1016/j.jeconom.2021.04.009.
• Antoine, Bertille & Lavergne, Pascal, 2023, "Identification-robust nonparametric inference in a linear IV model," Journal of Econometrics, Elsevier, volume 235, issue 1, pages 1-24, DOI: 10.1016/j.jeconom.2022.01.011.
• Guo, Xu & Li, Runze & Liu, Jingyuan & Zeng, Mudong, 2023, "Statistical inference for linear mediation models with high-dimensional mediators and application to studying stock reaction to COVID-19 pandemic," Journal of Econometrics, Elsevier, volume 235, issue 1, pages 166-179, DOI: 10.1016/j.jeconom.2022.03.001.
• Bao, Yong & Yu, Xuewen, 2023, "Indirect inference estimation of dynamic panel data models," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1027-1053, DOI: 10.1016/j.jeconom.2022.09.003.
• Pellatt, Daniel F. & Sun, Yixiao, 2023, "Asymptotic F test in regressions with observations collected at high frequency over long span," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1281-1309, DOI: 10.1016/j.jeconom.2022.10.007.
• Chen, Song Xi & Guo, Bin & Qiu, Yumou, 2023, "Testing and signal identification for two-sample high-dimensional covariances via multi-level thresholding," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1337-1354, DOI: 10.1016/j.jeconom.2022.10.008.
• Ergemen, Yunus Emre, 2023, "Parametric estimation of long memory in factor models," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1483-1499, DOI: 10.1016/j.jeconom.2022.11.005.
• Mayer, Alexander & Wied, Dominik, 2023, "Estimation and inference in factor copula models with exogenous covariates," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1500-1521, DOI: 10.1016/j.jeconom.2023.01.003.
• Chao, John C. & Swanson, Norman R. & Woutersen, Tiemen, 2023, "Jackknife estimation of a cluster-sample IV regression model with many weak instruments," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1747-1769, DOI: 10.1016/j.jeconom.2022.12.011.
• Rossi, Francesca & Lieberman, Offer, 2023, "Spatial autoregressions with an extended parameter space and similarity-based weights," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 1770-1798, DOI: 10.1016/j.jeconom.2022.11.010.
• Konstantinidi, Antri & Kourtellos, Andros & Sun, Yiguo, 2023, "Social threshold regression," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 2057-2081, DOI: 10.1016/j.jeconom.2023.02.010.
• Kuersteiner, Guido M. & Prucha, Ingmar R. & Zeng, Ying, 2023, "Efficient peer effects estimators with group effects," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 2155-2194, DOI: 10.1016/j.jeconom.2023.02.013.
• Casini, Alessandro, 2023, "Theory of evolutionary spectra for heteroskedasticity and autocorrelation robust inference in possibly misspecified and nonstationary models," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 372-392, DOI: 10.1016/j.jeconom.2022.05.001.
• 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.
• Candelaria, Luis E. & Ura, Takuya, 2023, "Identification and inference of network formation games with misclassified links," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 862-891, DOI: 10.1016/j.jeconom.2022.07.007.
• MacKinnon, James G., 2023, "Using large samples in econometrics," Journal of Econometrics, Elsevier, volume 235, issue 2, pages 922-926, DOI: 10.1016/j.jeconom.2022.05.005.
• Li, Dong & Tao, Yuxin & Yang, Yaxing & Zhang, Rongmao, 2023, "Maximum likelihood estimation for α-stable double autoregressive models," Journal of Econometrics, Elsevier, volume 236, issue 1, DOI: 10.1016/j.jeconom.2023.04.011.
• Anatolyev, Stanislav & Sølvsten, Mikkel, 2023, "Testing many restrictions under heteroskedasticity," Journal of Econometrics, Elsevier, volume 236, issue 1, DOI: 10.1016/j.jeconom.2023.03.011.
• Bennedsen, Mikkel & Lunde, Asger & Shephard, Neil & Veraart, Almut E.D., 2023, "Inference and forecasting for continuous-time integer-valued trawl processes," Journal of Econometrics, Elsevier, volume 236, issue 2, DOI: 10.1016/j.jeconom.2023.105476.
• 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.
• Aknouche, Abdelhakim & Francq, Christian, 2023, "Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2021.09.002.
• Bakalli, Gaetan & Guerrier, Stéphane & Scaillet, Olivier, 2023, "A penalized two-pass regression to predict stock returns with time-varying risk premia," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2022.12.004.
• 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.
• Kojevnikov, Denis & Song, Kyungchul, 2023, "Some impossibility results for inference with cluster dependence with large clusters," Journal of Econometrics, Elsevier, volume 237, issue 2, DOI: 10.1016/j.jeconom.2023.105524.
• 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.
• Kiviet, Jan F., 2023, "Instrument-free inference under confined regressor endogeneity and mild regularity," Econometrics and Statistics, Elsevier, volume 25, issue C, pages 1-22, DOI: 10.1016/j.ecosta.2021.12.008.
• Hirukawa, Masayuki, 2023, "Robust Covariance Matrix Estimation in Time Series: A Review," Econometrics and Statistics, Elsevier, volume 27, issue C, pages 36-61, DOI: 10.1016/j.ecosta.2021.12.001.
• 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.
• Astill, Sam & Taylor, A.M. Robert & Kellard, Neil & Korkos, Ioannis, 2023, "Using covariates to improve the efficacy of univariate bubble detection methods," Journal of Empirical Finance, Elsevier, volume 70, issue C, pages 342-366, DOI: 10.1016/j.jempfin.2022.12.008.
• Qiao, W. & Bu, D. & Gibberd, A. & Liao, Y. & Wen, T. & Li, E., 2023, "When “time varying” volatility meets “transaction cost” in portfolio selection," Journal of Empirical Finance, Elsevier, volume 73, issue C, pages 220-237, DOI: 10.1016/j.jempfin.2023.06.006.
• 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.
• Leong, Minhao & Kwok, Simon, 2023, "The pricing of jump and diffusive risks in the cross-section of cryptocurrency returns," Journal of Empirical Finance, Elsevier, volume 74, issue C, DOI: 10.1016/j.jempfin.2023.101420.
• Badunenko, Oleg & Galeotti, Marzio & Hunt, Lester C., 2023, "Better to grow or better to improve? Measuring environmental efficiency in OECD countries with a stochastic environmental Kuznets frontier (SEKF)," Energy Economics, Elsevier, volume 121, issue C, DOI: 10.1016/j.eneco.2023.106644.
• V., Ernesto Guerra & H., Eugenio Bobenrieth & H., Juan Bobenrieth & Wright, Brian D., 2023, "Endogenous thresholds in energy prices: Modeling and empirical estimation," Energy Economics, Elsevier, volume 121, issue C, DOI: 10.1016/j.eneco.2023.106669.
• Dionne, Georges & El Hraiki, Rayane & Mnasri, Mohamed, 2023, "Determinants and real effects of joint hedging: An empirical analysis of US oil and gas producers," Energy Economics, Elsevier, volume 124, issue C, DOI: 10.1016/j.eneco.2023.106801.
• Bernstein, David H. & Parmeter, Christopher F. & Tsionas, Mike G., 2023, "On the performance of the United States nuclear power sector: A Bayesian approach," Energy Economics, Elsevier, volume 125, issue C, DOI: 10.1016/j.eneco.2023.106884.
• Thakur, Jagruti & Hesamzadeh, Mohammad Reza & Date, Paresh & Bunn, Derek, 2023, "Pricing and hedging wind power prediction risk with binary option contracts," Energy Economics, Elsevier, volume 126, issue C, DOI: 10.1016/j.eneco.2023.106960.
• Weng, Chunfei & Huang, Jingong & Greenwood-Nimmo, Matthew, 2023, "The effect of clean energy investment on CO2 emissions: Insights from a Spatial Durbin Model," Energy Economics, Elsevier, volume 126, issue C, DOI: 10.1016/j.eneco.2023.107000.
• Díaz, Antonio & Esparcia, Carlos & Huélamo, Diego, 2023, "Unveiling the diversification capabilities of carbon markets in NFT portfolios," Finance Research Letters, Elsevier, volume 58, issue PD, DOI: 10.1016/j.frl.2023.104632.
• Chen, Ding & Guo, Biao & Zhou, Guofu, 2023, "Firm fundamentals and the cross-section of implied volatility shapes," Journal of Financial Markets, Elsevier, volume 63, issue C, DOI: 10.1016/j.finmar.2022.100771.
• Bladt, Martin & Yslas, Jorge, 2023, "Robust claim frequency modeling through phase-type mixture-of-experts regression," Insurance: Mathematics and Economics, Elsevier, volume 111, issue C, pages 1-22, DOI: 10.1016/j.insmatheco.2023.02.008.
• Chen, Yu & Ma, Mengyuan & Sun, Hongfang, 2023, "Statistical inference for extreme extremile in heavy-tailed heteroscedastic regression model," Insurance: Mathematics and Economics, Elsevier, volume 111, issue C, pages 142-162, DOI: 10.1016/j.insmatheco.2023.04.001.
• Mao, Tiantian & Stupfler, Gilles & Yang, Fan, 2023, "Asymptotic properties of generalized shortfall risk measures for heavy-tailed risks," Insurance: Mathematics and Economics, Elsevier, volume 111, issue C, pages 173-192, DOI: 10.1016/j.insmatheco.2023.05.001.
• Gao, Suhao & Yu, Zhen, 2023, "Parametric expectile regression and its application for premium calculation," Insurance: Mathematics and Economics, Elsevier, volume 111, issue C, pages 242-256, DOI: 10.1016/j.insmatheco.2023.05.004.
• Xiong, Tingting, 2023, "The effect of technological intensity on international trade," International Economics, Elsevier, volume 176, issue C, DOI: 10.1016/j.inteco.2023.100456.
• Billé, Anna Gloria & Gianfreda, Angelica & Del Grosso, Filippo & Ravazzolo, Francesco, 2023, "Forecasting electricity prices with expert, linear, and nonlinear models," International Journal of Forecasting, Elsevier, volume 39, issue 2, pages 570-586, DOI: 10.1016/j.ijforecast.2022.01.003.
• Higo, Masahiro, 2023, "What caused the downward trend in Japan’s labor share?," Japan and the World Economy, Elsevier, volume 67, issue C, DOI: 10.1016/j.japwor.2023.101206.
• Brignone, Riccardo & Gonzato, Luca & Lütkebohmert, Eva, 2023, "Efficient Quasi-Bayesian Estimation of Affine Option Pricing Models Using Risk-Neutral Cumulants," Journal of Banking & Finance, Elsevier, volume 148, issue C, DOI: 10.1016/j.jbankfin.2022.106745.
• Fe, Hao, 2023, "Social networks and consumer behavior: Evidence from Yelp," Journal of Economic Behavior & Organization, Elsevier, volume 209, issue C, pages 1-14, DOI: 10.1016/j.jebo.2023.02.009.
• Zila, Eric & Kukacka, Jiri, 2023, "Moment set selection for the SMM using simple machine learning," Journal of Economic Behavior & Organization, Elsevier, volume 212, issue C, pages 366-391, DOI: 10.1016/j.jebo.2023.05.040.
• Dickerson, Alexander & Mueller, Philippe & Robotti, Cesare, 2023, "Priced risk in corporate bonds," Journal of Financial Economics, Elsevier, volume 150, issue 2, DOI: 10.1016/j.jfineco.2023.103707.
• Bali, Turan G. & Gunaydin, A. Doruk & Jansson, Thomas & Karabulut, Yigitcan, 2023, "Do the rich gamble in the stock market? Low risk anomalies and wealthy households," Journal of Financial Economics, Elsevier, volume 150, issue 2, DOI: 10.1016/j.jfineco.2023.103715.
• Cotter, John & Hallam, Mark & Yilmaz, Kamil, 2023, "Macro-financial spillovers," Journal of International Money and Finance, Elsevier, volume 133, issue C, DOI: 10.1016/j.jimonfin.2023.102824.
• Djogbenou, Antoine & Inan, Emre & Jasiak, Joann, 2023, "Time-varying coefficient DAR model and stability measures for stablecoin prices: An application to Tether," Journal of International Money and Finance, Elsevier, volume 139, issue C, DOI: 10.1016/j.jimonfin.2023.102946.
• Rice, Gregory & Wirjanto, Tony & Zhao, Yuqian, 2023, "Exploring volatility of crude oil intraday return curves: A functional GARCH-X model," Journal of Commodity Markets, Elsevier, volume 32, issue C, DOI: 10.1016/j.jcomm.2023.100361.
• Marenzi, Anna & Rizzi, Dino & Zanette, Michele & Zantomio, Francesca, 2023, "Regional institutional quality and territorial equity in LTC provision," The Journal of the Economics of Ageing, Elsevier, volume 26, issue C, DOI: 10.1016/j.jeoa.2023.100477.
• 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.
• Cerqua, Augusto & Zampollo, Federico, 2023, "Deeds or words? The local influence of anti-immigrant parties on foreigners’ flows," European Journal of Political Economy, Elsevier, volume 77, issue C, DOI: 10.1016/j.ejpoleco.2022.102275.
• De Silva, Dakshina G. & Hubbard, Timothy P. & Schiller, Anita R. & Tsionas, Mike G., 2023, "Estimating outcomes in the presence of endogeneity and measurement error with an application to R&D," The Quarterly Review of Economics and Finance, Elsevier, volume 88, issue C, pages 278-294, DOI: 10.1016/j.qref.2023.01.010.
• Emery, Thomas & Mélon, Lela & Spruk, Rok, 2023, "Does e-procurement matter for economic growth? Subnational evidence from Australia," The Quarterly Review of Economics and Finance, Elsevier, volume 89, issue C, pages 318-334, DOI: 10.1016/j.qref.2022.09.005.
• Zhang, Wenwen & Cao, Shuo & Zhang, Xuan & Qu, Xuefeng, 2023, "COVID-19 and stock market performance: Evidence from the RCEP countries," International Review of Economics & Finance, Elsevier, volume 83, issue C, pages 717-735, DOI: 10.1016/j.iref.2022.10.013.
• Beck, Elliot & De Nard, Gianluca & Wolf, Michael, 2023, "Improved inference in financial factor models," International Review of Economics & Finance, Elsevier, volume 86, issue C, pages 364-379, DOI: 10.1016/j.iref.2023.03.009.
• Pattnaik, Debidutta & Hassan, M. Kabir & DSouza, Arun & Ashraf, Ali, 2023, "Investment in gold: A bibliometric review and agenda for future research," Research in International Business and Finance, Elsevier, volume 64, issue C, DOI: 10.1016/j.ribaf.2022.101854.
• Yoosoon Chang & Ana Maria Herrera & Elena Pesavento, 2023, "Oil Prices Uncertainty, Endogenous Regime Switching, and Inflation Anchoring," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-14, Feb.
• Hilde C. Bjørnland & Yoosoon Chang & Jamie L. Cross, 2023, "Oil and the Stock Market Revisited: A Mixed Functional VAR Approach," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-18, Mar.
• Yunho Cho & James Morley & Aarti Singh, 2023, "Did Marginal Propensities to Consume Change with the Housing Boom and Bust?," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2023-32, Jul.
• Otsu, Taisuke & Pesendorfer, Martin, 2023, "Equilibrium multiplicity in dynamic games: testing and estimation," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 113588, Jan.
• Chang, Jinyuan & Chen, Cheng & Qiao, Xinghao & Yao, Qiwei, 2023, "An autocovariance-based learning framework for high-dimensional functional time series," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 117910, Feb.
• Gabriel Montes-Rojas & Nicolás Bertholet, 2023, "When are devaluations more contractionary? A quantile VAR estimation for Argentina," Chapters, Edward Elgar Publishing, chapter 8, in: Fernando Toledo & Louis-Philippe Rochon, "Monetary Policy Challenges in Latin America".
• Reiner Franke, 2023, "Pure Harrodian dynamics: heterogeneous expectations and the loss of three established propositions," Review of Keynesian Economics, Edward Elgar Publishing, volume 11, issue 3, pages 290-327, July.
• Kun Ho Kim & Hira L. Koul & Jiwoong Kim, 2023, "A Specification Test Based on Convolution-Type Distribution Function Estimates for Non-Linear Autoregressive Processes," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Theory", DOI: 10.1108/S0731-90532023000045A006.
• Yingqian Lin & Yundong Tu, 2023, "Transformation Models with Cointegrated and Deterministically Trending Regressors," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Theory", DOI: 10.1108/S0731-90532023000045A007.
• Javier Hidalgo & Heejun Lee & Jungyoon Lee & Myung Hwan Seo, 2023, "Minimax Risk in Estimating Kink Threshold and Testing Continuity," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Theory", DOI: 10.1108/S0731-90532023000045A008.
• Yixiao Sun, 2023, "Some Extensions of AsymptoticFandtTheory in Nonstationary Regressions," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Theory", DOI: 10.1108/S0731-90532023000045A011.
• Ying Zhou & Hsein Kew & Jiti Gao, 2023, "Non-Stationary Parametric Single-Index Predictive Models: Simulation and Empirical Studies," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Theory", DOI: 10.1108/S0731-90532023000045A012.
• Namhyun Kim & Patrick Wongsa-art & Ian J. Bateman, 2023, "A New Model for Agricultural Land-Use Modeling and Prediction in England Using Spatially High-Resolution Data," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications", DOI: 10.1108/S0731-90532023000045B013.
• Cheng Hsiao & Qiankun Zhou, 2023, "Maximum Likelihood Estimation of Dynamic Panel Data Models with Interactive Effects: Quasi-Differencing Over Time or Across Individuals?," Advances in Econometrics, Emerald Group Publishing Limited, "Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications", DOI: 10.1108/S0731-90532023000045B015.
• Marko Kureljusic & Jonas Metz, 2023, "The applicability of machine learning algorithms in accounts receivables management," Journal of Applied Accounting Research, Emerald Group Publishing Limited, volume 24, issue 4, pages 769-786, February, DOI: 10.1108/JAAR-05-2022-0116.
• Cyrus A. Ramezani & James J. Ahern, 2023, "Business cycles, stock market wealth, and gambling at the racetracks," Journal of Economic Studies, Emerald Group Publishing Limited, volume 51, issue 2, pages 455-470, July, DOI: 10.1108/JES-03-2023-0120.
• Dimitrios Panagiotou & Konstantinos Karamanis, 2023, "Testing for monotonicity, linearity and symmetry between trading volume and price returns in the futures markets of agricultural commodities: a discussion on the financial implications," Studies in Economics and Finance, Emerald Group Publishing Limited, volume 40, issue 5, pages 996-1020, October, DOI: 10.1108/SEF-03-2023-0138.
• Pietro Alessandrini & Òscar Jordà & Fabrizio Venditti, 2023, "Decomposing the Monetary Policy Multiplier," Working Paper Series, Federal Reserve Bank of San Francisco, number 2023-14, May, DOI: 10.24148/wp2023-14.
• Hitesh Doshi & Hyung Joo Kim & Sang Byung Seo, 2023, "Options on Interbank Rates and Implied Disaster Risk," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2023-054r1, Aug, revised 14 Aug 2025, DOI: 10.17016/FEDS.2023.054r1.
• Richard K. Crump & Nikolay Gospodinov & Hunter Wieman, 2023, "Sparse Trend Estimation," Staff Reports, Federal Reserve Bank of New York, number 1049, Feb.
• Artur R. Sharafutdinov, 2023, "Estimation of Uncertainty: Revisions of Russian GDP on History
  [Оценивание Неопределенности: Пересмотры Ввп России На Истории]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 1, pages 28-38, January.
• Yuliya L. Maslennikova & Alla E. Brom, 2023, "Assessing the Efficiency of Pilot Production in Industry
  [К Вопросу Об Оценке Эффективности Опытного Производства В Промышленности]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 3, pages 14-20, March.
• Artur R. Sharafutdinov, 2023, "Output Gap in Russian Economy: Estimate Based on the IMF’s Multivariate Filter
  [Разрыв Выпуска В Российской Экономике: Оценка На Основе Многомерного Фильтра Мвф]," Russian Economic Development, Gaidar Institute for Economic Policy, issue 4, pages 15-23, April.
• Artur R. Sharafutdinov, 2023, "Оценивание Неопределенности: Пересмотры Ввп России На Истории," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 1, pages 28-38, January.
• Yuliya L. Maslennikova & Alla E. Brom, 2023, "К Вопросу Об Оценке Эффективности Опытного Производства В Промышленности," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 3, pages 14-20, March.
• Artur R. Sharafutdinov, 2023, "Разрыв Выпуска В Российской Экономике: Оценка На Основе Многомерного Фильтра Мвф," Russian Economic Development (in Russian), Gaidar Institute for Economic Policy, issue 4, pages 15-23, April.
• F. Blasques & Christian Francq & Sébastien Laurent, 2023, "Quasi score-driven models," Post-Print, HAL, number hal-04069143, May, DOI: 10.1016/j.jeconom.2021.12.005.
• Antoine Bertille & Pascal Lavergne, 2023, "Identification-Robust Nonparametric Inference in a Linear IV Model," Post-Print, HAL, number hal-04141433, Jul, DOI: 10.1016/j.jeconom.2022.01.011.
• Laifa Assala & Hadouga Hassiba, 2023, "Using Microsoft Power BI for sales forecasting as a data mining technique," Post-Print, HAL, number hal-04183450, Jun.
• Gaetan Bakalli & Stéphane Guerrier & Olivier Scaillet, 2023, "A penalized two-pass regression to predict stock returns with time-varying risk premia," Post-Print, HAL, number hal-04325655, Dec, DOI: 10.1016/j.jeconom.2022.12.004.
• Thibault Laurent & Paula Margaretic & Christine Thomas-Agnan, 2023, "Generalizing Impact Computations for the Autoregressive Spatial Interaction Model," Post-Print, HAL, number hal-04355089, Oct, DOI: 10.1111/gean.12358.
• F. Blasques & Christian Francq & Sébastien Laurent, 2023, "Quasi score-driven models," Post-Print, HAL, number hal-05417225, May, DOI: 10.1016/j.jeconom.2021.12.005.
• Abdelhakim Aknouche & Christian Francq, 2023, "Two-stage weighted least squares estimator of the conditional mean of observation-driven time series models," Post-Print, HAL, number hal-05417229, Dec, DOI: 10.1016/j.jeconom.2021.09.002.
• Michel Lubrano & Abdoul Aziz Junior Ndoye, 2023, "Bayesian Unconditional Quantile Regression: An Analysis of Recent Expansions in Wage Structure and Earnings Inequality in the US 1992-2009," Working Papers, HAL, number hal-01463115, Sep, DOI: 10.1111/sjpe.12038.
• Mazhar Mughal & Rashid Javed & Thierry Lorey, 2023, "Female Early Marriage and Son Preference in Pakistan," Working Papers, HAL, number hal-04097640, May.
• Fanny Landaud & Eric Maurin, 2023, "Tracking When Ranking Matters," Working Papers, HAL, number hal-04322956, Dec, DOI: 10.2139/ssrn.4653190.
• Sommervoll, Dag Einar & Holden, Stein T. & Tilahun, Mesfin, 2023, "Intertemporal Choice Lists and Maximal Likelihood Estimation of Discount Rates," CLTS Working Papers, Norwegian University of Life Sciences, Centre for Land Tenure Studies, number 9/23, Dec.
• TAYANAGI, Toshikazu & 田柳, 俊和 & KUROZUMI, Eiji & 黒住, 英司, 2023, "Change-point estimators with the weighted objective function when estimating breaks one at a time," Discussion Papers, Graduate School of Economics, Hitotsubashi University, number 2023-04, Nov.
• Wagner, Martin, 2023, "Fully Modified Least Squares Estimation and Inference for Systems of Cointegrating Polynomial Regressions," IHS Working Paper Series, Institute for Advanced Studies, number 44, Jan.
• Karina Valencia Serpel & Fernando Cruz Aranda & Francisco Ortiz Arango, 2023, "Precios de transferencia de fondos en bancos de México entre febrero de 2012 y mayo de 2021," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 18, issue 2, pages 1-20, Abril - J.
• Yoosoon Chang & Ana Maria Herrera & Elena Pesavento, 2023, "Oil Prices Uncertainty, Endogenous Regime Switching, and Inflation Anchoring," CAEPR Working Papers, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, number 2023-002 Classification-C, Feb.
• Yoosoon Chang & Steven Durlauf & Seunghee Lee & Joon Park, 2023, "A Trajectories-Based Approach to Measuring Intergenerational Mobility," CAEPR Working Papers, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, number 2023-004 Classification-C, Mar.
• Hilde C. Bjornland & Yoosoon Chang & Jamie L. Cross, 2024, "Oil and the Stock Market Revisited: A Mixed Functional VAR Approach," CAEPR Working Papers, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington, number 2023-005 Classification-1, Jul.
• Manuela Alcañiz & Marc Estévez & Miguel Santolino, 2023, ""Unveiling the underlying severity of multiple pandemic indicators"," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202312, Oct, revised Oct 2023.
• Manuela Alcañiz & Marc Estévez & Miguel Santolino, 2023, ""Risk of hospitalization of diagnosed COVID-19 cases during the pandemic: a time-series analsys to unveil short- and long-run dynamics"," IREA Working Papers, University of Barcelona, Research Institute of Applied Economics, number 202313, Oct, revised Oct 2023.
• Utku Altunoz, 2023, "Analyzing the Volatility Dynamics of Crypto Currency and the Occurrence of Speculative Bubbles: The Examples of Bitcoin, Ethereum, and Ripple," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, volume 73, issue 73-1, pages 615-643, June, DOI: 10.26650/ISTJECON2023-1021393.
• Burak Darici & Ahmet Aydin & Fatih Ayhan & Merve Altaylar, 2023, "Macroeconomic Determinants of Tourism Demand Toward Emerging Markets," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, volume 73, issue 73-2, pages 837-864, December, DOI: 10.26650/ISTJECON2023-1296548.
• Clarke, Damian & Pailañir, Daniel & Athey, Susan & Imbens, Guido W., 2023, "Synthetic Difference-in-Differences Estimation," IZA Discussion Papers, IZA Network @ LISER, number 15907, Jan.
• Brodeur, Abel & Carrell, Scott E. & Figlio, David N. & Lusher, Lester, 2023, "Unpacking P-Hacking and Publication Bias," IZA Discussion Papers, IZA Network @ LISER, number 16369, Aug.
• Dong, Hao & Millimet, Daniel L., 2023, "Embrace the Noise: It Is OK to Ignore Measurement Error in a Covariate, Sometimes," IZA Discussion Papers, IZA Network @ LISER, number 16508, Oct.
• Kachour Maher & Bakouch Hassan S. & Mohammadi Zohreh, 2023, "A New INAR(1) Model for ℤ-Valued Time Series Using the Relative Binomial Thinning Operator," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 243, issue 2, pages 125-152, April, DOI: 10.1515/jbnst-2022-0059.