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Model Averaging and its Use in Economics

Citations

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Cited by:

  1. Gric, Zuzana & Bajzík, Josef & Badura, Ondřej, 2023. "Does sentiment affect stock returns? A meta-analysis across survey-based measures," International Review of Financial Analysis, Elsevier, vol. 89(C).
  2. Steven F. Lehrer & Tian Xie, 2022. "The Bigger Picture: Combining Econometrics with Analytics Improves Forecasts of Movie Success," Management Science, INFORMS, vol. 68(1), pages 189-210, January.
  3. Jose Olmo & Marcos Sanso‐Navarro, 2021. "Modeling the spread of COVID‐19 in New York City," Papers in Regional Science, Wiley Blackwell, vol. 100(5), pages 1209-1229, October.
  4. Josef Bajzik & Tomas Havranek & Zuzana Irsova & Jiri Novak, 2023. "Do Shareholder Activism Announcements Affect Stock Prices? A Meta-Analysis," Working Papers 2023/17, Czech National Bank.
  5. Taisuke Imai & Tom A Rutter & Colin F Camerer, 2021. "Meta-Analysis of Present-Bias Estimation using Convex Time Budgets," The Economic Journal, Royal Economic Society, vol. 131(636), pages 1788-1814.
  6. Zhong, Qing & Nelson, Jake R. & Tong, Daoqin & Grubesic, Tony H., 2022. "A spatial optimization approach to increase the accuracy of rooftop solar energy assessments," Applied Energy, Elsevier, vol. 316(C).
  7. Roman Horvath & Ali Elminejad & Tomas Havranek, 2020. "Publication and Identification Biases in Measuring the Intertemporal Substitution of Labor Supply," Working Papers IES 2020/32, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Sep 2020.
  8. Grover, Arti & Lall, Somik & Timmis, Jonathan, 2023. "Agglomeration economies in developing countries: A meta-analysis," Regional Science and Urban Economics, Elsevier, vol. 101(C).
  9. Gyuhyeong Goh & Jisang Yu, 2022. "Causal inference with some invalid instrumental variables: A quasi‐Bayesian approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1432-1451, December.
  10. Zhuanlan Sun & Demi Zhu, 2023. "Investigating environmental regulation effects on technological innovation: A meta-regression analysis," Energy & Environment, , vol. 34(3), pages 463-492, May.
  11. Zhang, Xinyu & Liu, Chu-An, 2023. "Model averaging prediction by K-fold cross-validation," Journal of Econometrics, Elsevier, vol. 235(1), pages 280-301.
  12. Chen, Yi-Ting & Liu, Chu-An, 2023. "Model averaging for asymptotically optimal combined forecasts," Journal of Econometrics, Elsevier, vol. 235(2), pages 592-607.
  13. Riccardo (Jack) Lucchetti & Luca Pedini, 2020. "ParMA: Parallelised Bayesian Model Averaging for Generalised Linear Models," Working Papers 2020:28, Department of Economics, University of Venice "Ca' Foscari".
  14. Inkoo Cho & Noah Williams, 2024. "Collusive Outcomes Without Collusion," Papers 2403.07177, arXiv.org.
  15. Sun, Yuying & Hong, Yongmiao & Wang, Shouyang & Zhang, Xinyu, 2023. "Penalized time-varying model averaging," Journal of Econometrics, Elsevier, vol. 235(2), pages 1355-1377.
  16. Guillaume Coqueret, 2023. "Forking paths in financial economics," Papers 2401.08606, arXiv.org.
  17. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
  18. In, YeonJun & Jung, Jae-Yoon, 2022. "Simple averaging of direct and recursive forecasts via partial pooling using machine learning," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1386-1399.
  19. Huihang Liu & Xinyu Zhang, 2023. "Frequentist model averaging for undirected Gaussian graphical models," Biometrics, The International Biometric Society, vol. 79(3), pages 2050-2062, September.
  20. David Kaplan, 2021. "On the Quantification of Model Uncertainty: A Bayesian Perspective," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 215-238, March.
  21. Zhang, Jitao & Yang, Yongliang, 2023. "Can environmental disclosure improve price efficiency? The perspective of price delay," Finance Research Letters, Elsevier, vol. 52(C).
  22. Alfredo Altuzarra & Pilar Gargallo & José María Moreno-Jiménez & Manuel Salvador, 2022. "Identification of Homogeneous Groups of Actors in a Local AHP-Multiactor Context with a High Number of Decision-Makers: A Bayesian Stochastic Search," Mathematics, MDPI, vol. 10(3), pages 1-20, February.
  23. Zigraiova, Diana & Havranek, Tomas & Irsova, Zuzana & Novak, Jiri, 2021. "How puzzling is the forward premium puzzle? A meta-analysis," European Economic Review, Elsevier, vol. 134(C).
  24. Umer, Hamza & Kurosaki, Takashi & Iwasaki, Ichiro, 2022. "Unearned Endowment and Charity Recipient Lead to Higher Donations: A Meta-Analysis of the Dictator Game Lab Experiments," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 97(C).
  25. Manger, Mark S. & Matthews, J. Scott, 2021. "Knowing when to splurge: Precautionary saving and Chinese-Canadians," Journal of Asian Economics, Elsevier, vol. 76(C).
  26. Josef Bajzik, 2023. "Does Shareholder Activism Have a Long-Lasting Impact on Company Value? A Meta-Analysis," Working Papers 2023/10, Czech National Bank.
  27. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
  28. Atif Maqbool Khan & Jacek Kwiatkowski & Magdalena Osińska & Marcin Błażejowski, 2021. "Factors of Renewable Energy Consumption in the European Countries—The Bayesian Averaging Classical Estimates Approach," Energies, MDPI, vol. 14(22), pages 1-24, November.
  29. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
  30. Grover,Arti Goswami & Lall,Somik V. & Timmis,Jonathan David, 2021. "Agglomeration Economies in Developing Countries : A Meta-Analysis," Policy Research Working Paper Series 9730, The World Bank.
  31. Josef Bajzik & Jan Janku & Simona Malovana & Klara Moravcova & Ngoc Anh Ngo, 2023. "Monetary Policy Has a Long-Lasting Impact on Credit: Evidence from 91 VAR Studies," Working Papers 2023/19, Czech National Bank.
  32. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2023. "Measuring the model uncertainty of shadow economy estimates," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(4), pages 1069-1106, August.
  33. Anna Sokolova, 2023. "Marginal Propensity to Consume and Unemployment: a Meta-analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 813-846, December.
  34. Gonzalo García‐Donato & Stefano Cabras & María Eugenia Castellanos, 2023. "Model uncertainty quantification in Cox regression," Biometrics, The International Biometric Society, vol. 79(3), pages 1726-1736, September.
  35. Elminejad, Ali & Havranek, Tomas & Irsova, Zuzana, 2022. "Relative Risk Aversion: A Meta-Analysis," MetaArXiv b8uhe, Center for Open Science.
  36. Magdalena Florek & Jakub Gazda, 2021. "Traditional Food Products—Between Place Marketing, Economic Importance and Sustainable Development," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
  37. Bajzik, Josef, 2021. "Trading volume and stock returns: A meta-analysis," International Review of Financial Analysis, Elsevier, vol. 78(C).
  38. Ryan Greenaway-McGrevy & Kade Sorensen, 2021. "A spatial model averaging approach to measuring house prices," Journal of Spatial Econometrics, Springer, vol. 2(1), pages 1-32, December.
  39. De Luca, Giuseppe & Magnus, Jan R. & Peracchi, Franco, 2022. "Sampling properties of the Bayesian posterior mean with an application to WALS estimation," Journal of Econometrics, Elsevier, vol. 230(2), pages 299-317.
  40. Picchio, Matteo & Ubaldi, Michele, 2022. "Unemployment and Health: A Meta-Analysis," GLO Discussion Paper Series 1128, Global Labor Organization (GLO).
  41. Balima, Hippolyte W. & Sokolova, Anna, 2021. "IMF programs and economic growth: A meta-analysis," Journal of Development Economics, Elsevier, vol. 153(C).
  42. Havranek, Tomas & Bajzík, Josef & Irsova, Zuzana & Novak, Jiri, 2023. "Does Shareholder Activism Create Value? A Meta-Analysis," CEPR Discussion Papers 18233, C.E.P.R. Discussion Papers.
  43. Giuseppe De Luca & Jan R. Magnus & Franco Peracchi, 2022. "Asymptotic properties of the weighted-average least squares (WALS) estimator," EIEF Working Papers Series 2203, Einaudi Institute for Economics and Finance (EIEF), revised Mar 2022.
  44. Dominika Ehrenbergerova & Josef Bajzik & Tomas Havranek, 2023. "When Does Monetary Policy Sway House Prices? A Meta-Analysis," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 538-573, June.
  45. Bakas, Dimitrios & Magkonis, Georgios & Oh, Eun Young, 2022. "What drives volatility in Bitcoin market?," Finance Research Letters, Elsevier, vol. 50(C).
  46. Mehmet Selman Colak & Yavuz Kilic & Huseyin Ozturk & Mehmet Emre Samci, 2024. "An Application to Model Uncertainty in Modelling Non-Performing Loans," CBT Research Notes in Economics 2404, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
  47. Giuseppe Luca & Jan R. Magnus & Franco Peracchi, 2023. "Weighted-Average Least Squares (WALS): Confidence and Prediction Intervals," Computational Economics, Springer;Society for Computational Economics, vol. 61(4), pages 1637-1664, April.
  48. Krzysztof Drachal, 2022. "Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression," Energies, MDPI, vol. 16(1), pages 1-29, December.
  49. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "Skilled and Unskilled Labor Are Less Substitutable than Commonly Thought," EconStor Preprints 223060, ZBW - Leibniz Information Centre for Economics.
  50. Marcin Blazejowski & Jacek Kwiatkowski, 2023. "BACE: A gretl Package for Model Averaging in Limited Dependent Variable Models," gretl working papers 9, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  51. Askarov, Zohid & Doucouliagos, Hristos & Paldam, Martin & Stanley, T.D., 2022. "Rewarding good political behavior: US aid, democracy, and human rights," European Journal of Political Economy, Elsevier, vol. 71(C).
  52. Havranek, Tomas & Irsova, Zuzana & Laslopova, Lubica & Zeynalova, Olesia, 2020. "The Elasticity of Substitution between Skilled and Unskilled Labor: A Meta-Analysis," MPRA Paper 102598, University Library of Munich, Germany.
  53. Matthias Breuer & Harm H. Schütt, 2023. "Accounting for uncertainty: an application of Bayesian methods to accruals models," Review of Accounting Studies, Springer, vol. 28(2), pages 726-768, June.
  54. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
  55. Magkonis, Georgios & Zekente, Kalliopi-Maria, 2020. "Inflation-output trade-off: Old measures, new determinants?," Journal of Macroeconomics, Elsevier, vol. 65(C).
  56. Yulia Marchenko, 2023. "Bayesian model averaging," 2023 Stata Conference 17, Stata Users Group.
  57. Zuzana Gric & Josef Bajzik & Ondrej Badura, 2021. "Does Sentiment Affect Stock Returns? A Meta-analysis Across Survey-based Measures," Working Papers 2021/10, Czech National Bank.
  58. Zongwu Cai & Chaoqun Ma & Xianhua Mi, 2020. "Realized Volatility Forecasting Based on Dynamic Quantile Model Averaging," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202016, University of Kansas, Department of Economics, revised Sep 2020.
  59. Nonejad, Nima, 2021. "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, vol. 104(C).
  60. Andros Kourtellos & Charalambos G. Tsangarides, 2022. "Robust Correlates of Growth Spells: Do Inequality and Redistribution Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(6), pages 1302-1328, December.
  61. Ali Elminejad & Tomas Havranek & Roman Horvath & Zuzana Irsova, 2023. "Intertemporal Substitution in Labor Supply: A Meta-Analysis," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 1095-1113, December.
  62. Nimonka Bayale & Brigitte Kanga Kouassi, 2022. "The Devil is in the Details: On the Robust Determinants of Development Aid in G5 Sahel Countries," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 64(4), pages 646-680, December.
  63. Prakhar Bansal & Rahul Kumar & Somesh Kumar, 2021. "Disease Detection in Apple Leaves Using Deep Convolutional Neural Network," Agriculture, MDPI, vol. 11(7), pages 1-23, June.
  64. Cazachevici, Alina & Havranek, Tomas & Horvath, Roman, 2020. "Remittances and economic growth: A meta-analysis," World Development, Elsevier, vol. 134(C).
  65. Drachal, Krzysztof, 2021. "Forecasting selected energy commodities prices with Bayesian dynamic finite mixtures," Energy Economics, Elsevier, vol. 99(C).
  66. Riccardo Lucchetti & Luca Pedini & Claudia Pigini, 2021. "Bayesian Model Averaging For Propensity Score Matching In Tax Rebate," Working Papers 457, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  67. Yin‐Wong Cheung & Shi He, 2022. "RMB misalignment: What does a meta‐analysis tell us?," Review of International Economics, Wiley Blackwell, vol. 30(4), pages 1038-1086, September.
  68. Sallie Yea & Stephanie Chok, 2018. "Unfreedom Unbound: Developing a Cumulative Approach to Understanding Unfree Labour in Singapore," Work, Employment & Society, British Sociological Association, vol. 32(5), pages 925-941, October.
  69. Song, Yunquan & Liang, Xijun & Zhu, Yanji & Lin, Lu, 2021. "Robust variable selection with exponential squared loss for the spatial autoregressive model," Computational Statistics & Data Analysis, Elsevier, vol. 155(C).
  70. Chris Doucouliagos & Jakob de Haan & Jan-Egbert Sturm, 2022. "What drives financial development? A Meta-regression analysis [A new database of financial reforms]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 840-868.
  71. Nima Zarrabi & Stuart Snaith & Jerry Coakley, 2022. "Exchange rate forecasting using economic models and technical trading rules," The European Journal of Finance, Taylor & Francis Journals, vol. 28(10), pages 997-1018, July.
  72. Mihaela-Eugenia VASILACHE, 2018. "Forecasting the Trend of Art Market," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 6(1), pages 82-93, June.
  73. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
  74. Vicente Rios & Lisa Gianmoena, 2021. "On the link between temperature and regional COVID‐19 severity: Evidence from Italy," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(S1), pages 109-137, November.
  75. Mandon, Pierre & Woldemichael, Martha Tesfaye, 2023. "Has Chinese aid benefited recipient countries? Evidence from a meta-regression analysis," World Development, Elsevier, vol. 166(C).
  76. Piotr Dybka & Bartosz Olesiński & Marek Rozkrut & Andrzej Torój, 2020. "Measuring the uncertainty of shadow economy estimates using Bayesian and frequentist model averaging," KAE Working Papers 2020-046, Warsaw School of Economics, Collegium of Economic Analysis.
  77. Christoforos Andreou & Elena Andreou & Stephanie Michael & George Syrichas, 2021. "The Shadow Economy in Cyprus: Evidence from the Electricity Consumption and Currency Demand Methods," Cyprus Economic Policy Review, University of Cyprus, Economics Research Centre, vol. 15(1), pages 46-74, June.
  78. Irsova, Zuzana & Doucouliagos, Hristos & Havranek, Tomas & Stanley, T. D., 2023. "Meta-Analysis of Social Science Research: A Practitioner’s Guide," EconStor Preprints 273719, ZBW - Leibniz Information Centre for Economics.
  79. Aristidou, Chrystalleni & Lee, Kevin & Shields, Kalvinder, 2022. "Fundamentals, regimes and exchange rate forecasts: Insights from a meta exchange rate model," Journal of International Money and Finance, Elsevier, vol. 123(C).
  80. Bajzik, Josef & Havranek, Tomas & Irsova, Zuzana & Schwarz, Jiri, 2020. "Estimating the Armington elasticity: The importance of study design and publication bias," Journal of International Economics, Elsevier, vol. 127(C).
  81. Marvin Schütt, 2024. "Wind Turbines and Property Values: A Meta-Regression Analysis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(1), pages 1-43, January.
  82. Michail Filippidis & George Filis & Georgios Magkonis & Panagiotis Tzouvanas, 2023. "Evaluating robust determinants of the WTI/Brent oil price differential: A dynamic model averaging analysis," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(6), pages 807-825, June.
  83. Engsted, Tom & Schneider, Jesper W., 2023. "Non-Experimental Data, Hypothesis Testing, and the Likelihood Principle: A Social Science Perspective," SocArXiv nztk8, Center for Open Science.
  84. Claudia Schmidt & Steven C. Deller & Stephan J. Goetz, 2024. "Women farmers and community well‐being under modeling uncertainty," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 46(1), pages 275-299, March.
  85. Yang Feng & Qingfeng Liu, 2020. "Nested Model Averaging on Solution Path for High-dimensional Linear Regression," Papers 2005.08057, arXiv.org.
  86. Islam, M.S. & Das, Barun K. & Das, Pronob & Rahaman, Md Habibur, 2021. "Techno-economic optimization of a zero emission energy system for a coastal community in Newfoundland, Canada," Energy, Elsevier, vol. 220(C).
  87. Yuying Sun & Shaoxin Hong & Zongwu Cai, 2023. "Optimal Local Model Averaging for Divergent-Dimensional Functional-Coefficient Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202309, University of Kansas, Department of Economics, revised Sep 2023.
  88. Vicente Ríos & Antonio Gómez & Pedro Pascual, 2021. "Raising the Accuracy of Shadow Economy Measurements," Hacienda Pública Española / Review of Public Economics, IEF, vol. 239(4), pages 71-125, November.
  89. Luis Gabriel Carmona & Kai Whiting & Helmut Haberl & Tânia Sousa, 2021. "The use of steel in the United Kingdom's transport sector: A stock–flow–service nexus case study," Journal of Industrial Ecology, Yale University, vol. 25(1), pages 125-143, February.
  90. Enrique Acebo & José-Ángel Miguel-Dávila & Mariano Nieto, 2021. "The Impact of University–Industry Relationships on Firms’ Performance: A Meta-Regression Analysis," Science and Public Policy, Oxford University Press, vol. 48(2), pages 276-293.
  91. Iván Arribas & Emili Tortosa-Ausina & TingTing Zhu, 2021. "Optimal capital structure, model uncertainty, and European SMEs," Working Papers 2021/11, Economics Department, Universitat Jaume I, Castellón (Spain).
  92. Krzysztof Drachal & Michał Pawłowski, 2024. "Forecasting Selected Commodities’ Prices with the Bayesian Symbolic Regression," IJFS, MDPI, vol. 12(2), pages 1-56, March.
  93. Yulia Marchenko, 2023. "Bayesian Model Averaging," UK Stata Conference 2023 05, Stata Users Group.
  94. Lucchetti, Riccardo & Pedini, Luca & Pigini, Claudia, 2022. "No such thing as the perfect match: Bayesian Model Averaging for treatment evaluation," Economic Modelling, Elsevier, vol. 107(C).
  95. Adam Check & Jeremy Piger, 2021. "Structural Breaks in U.S. Macroeconomic Time Series: A Bayesian Model Averaging Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 1999-2036, December.
  96. Ramírez-Hassan, Andrés & Carvajal-Rendón, Daniela A., 2021. "Specification uncertainty in modeling internet adoption: A developing city case analysis," Utilities Policy, Elsevier, vol. 70(C).
  97. Nima Nonejad, 2021. "Bayesian model averaging and the conditional volatility process: an application to predicting aggregate equity returns by conditioning on economic variables," Quantitative Finance, Taylor & Francis Journals, vol. 21(8), pages 1387-1411, August.
  98. Krzysztof Drachal, 2018. "Some Novel Bayesian Model Combination Schemes: An Application to Commodities Prices," Sustainability, MDPI, vol. 10(8), pages 1-27, August.
  99. Djula Borozan & Luka Borozan, 2019. "Examining the Industrial Energy Consumption Determinants: A Panel Bayesian Model Averaging Approach," Energies, MDPI, vol. 13(1), pages 1-17, December.
  100. Gasmi, Farid & Recuero Virto, Laura & Couvet, Denis, 2022. "Empirical analysis of the anthropogenic pressure on the mangrove blue carbon-economic growth relationship," TSE Working Papers 22-1307, Toulouse School of Economics (TSE).
  101. Ebersberger, Bernd & Galia, Fabrice & Laursen, Keld & Salter, Ammon, 2021. "Inbound Open Innovation and Innovation Performance: A Robustness Study," Research Policy, Elsevier, vol. 50(7).
  102. Nikolas Kuschnig & Gregor Zens & Jesús Crespo Cuaresma, 2021. "Hidden in Plain Sight: Influential Sets in Linear Models," CESifo Working Paper Series 8981, CESifo.
  103. Gasmi, Farid & Recuero Virto, Laura & Couvet, Denis, 2023. "An empirical analysis of economic growth in countries exposed to coastal risks - Implications for their ecosystems," TSE Working Papers 23-1399, Toulouse School of Economics (TSE).
  104. Xindong Xue & Mingmei Cheng & Wangyongxin Zhang, 2021. "Does Education Really Improve Health? A Meta‐Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 35(1), pages 71-105, February.
  105. Michael Pfarrhofer & Philipp Piribauer, 2018. "Flexible shrinkage in high-dimensional Bayesian spatial autoregressive models," Papers 1805.10822, arXiv.org.
  106. Sebastian Gechert & Tomas Havranek & Zuzana Irsova & Dominika Kolcunova, 2022. "Measuring Capital-Labor Substitution: The Importance of Method Choices and Publication Bias," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 55-82, July.
  107. Xuan Liu & Jianbao Chen, 2021. "Variable Selection for the Spatial Autoregressive Model with Autoregressive Disturbances," Mathematics, MDPI, vol. 9(12), pages 1-20, June.
  108. Dominika Ehrenbergerova & Josef Bajzik, 2020. "The Effect of Monetary Policy on House Prices - How Strong is the Transmission?," Working Papers 2020/14, Czech National Bank.
  109. Gospodinov, Nikolay & Maasoumi, Esfandiar, 2021. "Generalized aggregation of misspecified models: With an application to asset pricing," Journal of Econometrics, Elsevier, vol. 222(1), pages 451-467.
  110. Shobande, Olatunji A., 2023. "Rethinking social change: Does the permanent and transitory effects of electricity and solid fuel use predict health outcome in Africa?," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
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