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Likelihood-Based Estimation of Dynamic Panels With Predetermined Regressors

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Cited by:

  1. Marta Marson & Donatella Saccone & Elena Vallino, 2023. "Total trade, cereals trade and undernourishment: new empirical evidence for developing countries," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 159(2), pages 299-332, May.
  2. Adesina, Kolade Sunday, 2019. "Basel III liquidity rules: The implications for bank lending growth in Africa," Economic Systems, Elsevier, vol. 43(2), pages 1-1.
  3. Krzysztof Beck & Ntokozo Patrick Nzimande, 2023. "Labor mobility and business cycle synchronization in Southern Africa," Economic Change and Restructuring, Springer, vol. 56(1), pages 159-179, February.
  4. Duttagupta, Rupa & Narita, Futoshi, 2017. "Emerging and developing economies: Entering a rough patch or protracted low gear?," Journal of Policy Modeling, Elsevier, vol. 39(4), pages 680-698.
  5. Ben Ammar, Imen & Hellara, Slaheddine, 2022. "High-frequency trading, stock volatility, and intraday crashes," The Quarterly Review of Economics and Finance, Elsevier, vol. 84(C), pages 337-344.
  6. Giorgio Canarella & Stephen M. Miller, 2019. "Determinants of Optimal Capital Structure and Speed of Adjustment: Evidence from the U.S. ICT Sector," Working papers 2019-06, University of Connecticut, Department of Economics.
  7. Robert F. Phillips, 2022. "Forward Orthogonal Deviations GMM and the Absence of Large Sample Bias," Papers 2212.14075, arXiv.org.
  8. Beck, Krzysztof, 2021. "Why business cycles diverge? Structural evidence from the European Union," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
  9. Blázquez, Leticia & Díaz-Mora, Carmen & González-Díaz, Belén, 2023. "Hubs of embodied business services in a GVC world," International Economics, Elsevier, vol. 174(C), pages 28-43.
  10. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2021. "Is there a euro effect in the drivers of US FDI? New evidence using Bayesian model averaging techniques," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 157(4), pages 881-926, November.
  11. Evgenii Zimin & Maria Semenova, 2022. "Profitability And Bank De-Branching In The Digital Age: Evidence From Russian Regions," HSE Working papers WP BRP 90/FE/2022, National Research University Higher School of Economics.
  12. Czyżewski, Daniel, 2021. "The relationship between the international trade and economic growth accounting for model uncertainty and reverse causality," MPRA Paper 108405, University Library of Munich, Germany.
  13. Mark F. J. Steel, 2020. "Model Averaging and Its Use in Economics," Journal of Economic Literature, American Economic Association, vol. 58(3), pages 644-719, September.
  14. Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017. "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, vol. 5(1), pages 1-54, March.
  15. El-Shagi, Makram & Fidrmuc, Jarko & Yamarik, Steven, 2020. "Inequality and credit growth in Russian regions," Economic Modelling, Elsevier, vol. 91(C), pages 550-558.
  16. Arellano, Manuel, 2016. "Modelling optimal instrumental variables for dynamic panel data models," Research in Economics, Elsevier, vol. 70(2), pages 238-261.
  17. Guilherme Correa Petry & Ely José Mattos, 2023. "The Effects of Public Expenditure on Municipal Development: A Dynamic Panel Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(2), pages 695-714, January.
  18. Georg Duernecker & Moritz Meyer & Fernando Vega‐Redondo, 2022. "Trade openness and growth: A network‐based approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1182-1203, September.
  19. Martin Falk & Sigbjorn Landazuri Tveteraas, 2020. "Modelling the wider effects of ski lift investments," Empirical Economics, Springer, vol. 59(1), pages 259-274, July.
  20. Boonman, Tjeerd M., 2023. "Portfolio capital flows before and after the Global Financial Crisis," Economic Modelling, Elsevier, vol. 127(C).
  21. Hayakawa, Kazuhiko & Pesaran, M. Hashem, 2015. "Robust standard errors in transformed likelihood estimation of dynamic panel data models with cross-sectional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 188(1), pages 111-134.
  22. Makram El‐Shagi & Steven Yamarik, 2019. "State‐level capital and investment: Refinements and update," Growth and Change, Wiley Blackwell, vol. 50(4), pages 1411-1422, December.
  23. Kim, Hoolda & Mitra, Sophie, 2022. "Dynamics of health and labor income in Korea," The Journal of the Economics of Ageing, Elsevier, vol. 21(C).
  24. Kripfganz, Sebastian, 2014. "Unconditional Transformed Likelihood Estimation of Time-Space Dynamic Panel Data Models," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100604, Verein für Socialpolitik / German Economic Association.
  25. Stephanie Reitzinger & Astrid Pennerstorfer, 2021. "The size–growth relationship in the social services sector in Austria," Service Business, Springer;Pan-Pacific Business Association, vol. 15(3), pages 445-466, September.
  26. Liang Frank Shao, 2021. "Robust determinants of income distribution across and within countries," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-29, July.
  27. Colin O’Reilly & Ryan H. Murphy, 2017. "Exogenous Resource Shocks and Economic Freedom," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 59(3), pages 243-260, September.
  28. Iles, Richard & Gatumu, Haniel & Kagunda, Samuel, 2019. "The role of poverty on economic decision-making: a model of cognitive function and heuristic use," Working Papers 2019-3, School of Economic Sciences, Washington State University.
  29. Desjardins, Denise & Dionne, Georges & Koné, N’Golo, 2022. "Reinsurance demand and liquidity creation: A search for bicausality," Journal of Empirical Finance, Elsevier, vol. 66(C), pages 137-154.
  30. Tom Wansbeek & Dennis Prak, 2017. "LIML in the static linear panel data model," Econometric Reviews, Taylor & Francis Journals, vol. 36(1-3), pages 385-395, March.
  31. Lars Leszczensky & Tobias Wolbring, 2022. "How to Deal With Reverse Causality Using Panel Data? Recommendations for Researchers Based on a Simulation Study," Sociological Methods & Research, , vol. 51(2), pages 837-865, May.
  32. Jeffry A. Jacob & Thomas Osang, 2018. "Democracy And Growth: A Dynamic Panel Data Study," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 65(01), pages 41-80, August.
  33. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2019. "Searching The Us Fdi Determinants In The Eu: Is There A Euro Effect?," Working Papers 1916, Department of Applied Economics II, Universidad de Valencia.
  34. Chupryhin, Radzivon, 2021. "Determinants of Foreign Direct Investment in Europe: Bayesian Model Averaging in the Presence of Weak Exogeneity," MPRA Paper 107197, University Library of Munich, Germany.
  35. Wu, Hania Fei, 2021. "Social determination, health selection or indirect selection? Examining the causal directions between socioeconomic status and obesity in the Chinese adult population," Social Science & Medicine, Elsevier, vol. 269(C).
  36. Mariam Camarero & Sergi Moliner & Cecilio Tamarit, 2020. "Japan's FDI drivers in a time of financial uncertainty. New evidence based on Bayesian Model," Working Papers 2007, Department of Applied Economics II, Universidad de Valencia.
  37. Fedotenkov, Igor & Idrisov, Georgy, 2021. "A supply-demand model of public sector size," Economic Systems, Elsevier, vol. 45(2).
  38. Ben Ammar, Imen & Hellara, Slaheddine & Ghadhab, Imen, 2020. "High-frequency trading and stock liquidity: An intraday analysis," Research in International Business and Finance, Elsevier, vol. 53(C).
  39. Abdelfeteh Bitat, 2018. "Environmental regulation and eco-innovation: the Porter hypothesis refined," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 8(3), pages 299-321, September.
  40. Dürnecker, Georg & Meyer, Moritz & Vega-Redondo, Fernando, 2014. "The Network Origins of Economic Growth," Working Papers 14-06, University of Mannheim, Department of Economics.
  41. Maria C. Lo Bue & Kunal Sen & Staffan I. Lindberg, 2021. "Clientelism, public goods provision, and governance," WIDER Working Paper Series wp-2021-98, World Institute for Development Economic Research (UNU-WIDER).
  42. Boonman, Tjeerd, 2023. "Have drivers of portfolio capital flows changed since the Global Financial Crisis?," MPRA Paper 116507, University Library of Munich, Germany.
  43. Livio Di Matteo & Robert Petrunia, 2022. "Does economic inequality breed murder? An empirical investigation of the relationship between economic inequality and homicide rates in Canadian provinces and CMAs," Empirical Economics, Springer, vol. 62(6), pages 2951-2988, June.
  44. Fritsch, Markus, 2019. "On GMM estimation of linear dynamic panel data models," Passauer Diskussionspapiere, Betriebswirtschaftliche Reihe B-36-19, University of Passau, Faculty of Business and Economics.
  45. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
  46. Maria Elena Bontempi & Jan Ditzen, 2023. "GMM-lev estimation and individual heterogeneity: Monte Carlo evidence and empirical applications," Papers 2312.00399, arXiv.org, revised Dec 2023.
  47. Hoolda Kim & Sophie Mitra, 2023. "Dynamics of Health and Labor Incomes in Korea," Fordham Economics Discussion Paper Series dp2023-01er:dp2023-01, Fordham University, Department of Economics.
  48. Camarero, Mariam & Moliner, Sergi & Tamarit, Cecilio, 2021. "Japan's FDI drivers in a time of financial uncertainty. New evidence based on Bayesian Model Averaging," Japan and the World Economy, Elsevier, vol. 57(C).
  49. Breitung, Jörg & Kripfganz, Sebastian & Hayakawa, Kazuhiko, 2022. "Bias-corrected method of moments estimators for dynamic panel data models," Econometrics and Statistics, Elsevier, vol. 24(C), pages 116-132.
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