IDEAS home Printed from https://ideas.repec.org/r/pup/chapts/8352-p.html
   My bibliography  Save this item

Preface to Econometric Modeling: A Likelihood Approach

In: Econometric Modeling: A Likelihood Approach

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. 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.
  2. Rahul Verma & Rajesh Mohnot, 2023. "Relative Impact of the U.S. Energy Market Sentiments on Stocks and ESG Index Returns: Evidence from GCC Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 13(2), pages 290-300, March.
  3. Monique Reid & Gideon Rand, 2015. "A Sticky Information Phillips Curve for South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 83(4), pages 506-526, December.
  4. Bec, Frédérique & Mogliani, Matteo, 2015. "Nowcasting French GDP in real-time with surveys and “blocked” regressions: Combining forecasts or pooling information?," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1021-1042.
  5. Soyer, Emre & Hogarth, Robin M., 2012. "The illusion of predictability: How regression statistics mislead experts," International Journal of Forecasting, Elsevier, vol. 28(3), pages 695-711.
  6. Neil R. Ericsson, 2021. "Dynamic Econometrics in Action: A Biography of David F. Hendry," International Finance Discussion Papers 1311, Board of Governors of the Federal Reserve System (U.S.).
  7. Jonas Harnau, 2018. "Log-Normal or Over-Dispersed Poisson?," Risks, MDPI, vol. 6(3), pages 1-37, July.
  8. Steven Lehrer & Tian Xie, 2017. "Box Office Buzz: Does Social Media Data Steal the Show from Model Uncertainty When Forecasting for Hollywood?," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 749-755, December.
  9. Tian Xie, 2012. "Least Squares Model Averaging By Prediction Criterion," Working Paper 1299, Economics Department, Queen's University.
  10. Owen, P. Dorian, 2018. "Replication to assess statistical adequacy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-16.
  11. Francesco Grigoli & José M. Mota, 2017. "Interest rate pass-through in the Dominican Republic," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 26(1), pages 1-25, December.
  12. David F. Hendry & Grayham E. Mizon, 2016. "Improving the teaching of econometrics," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1170096-117, December.
  13. Antonia Lòpez-Villavicencio & Luis Antonio Reyes Ortiz, 2018. "Is globalisation taking away jobs? An empirical assessment for advanced economies," CEPN Working Papers halshs-01895223, HAL.
  14. Clements Michael P. & Hendry David F., 2008. "Economic Forecasting in a Changing World," Capitalism and Society, De Gruyter, vol. 3(2), pages 1-20, October.
  15. P. Dorian Owen, 2017. "Evaluating Ingenious Instruments for Fundamental Determinants of Long-Run Economic Growth and Development," Econometrics, MDPI, vol. 5(3), pages 1-33, September.
  16. Vassili Bazinas & Bent Nielsen, 2015. "Causal transmission in reduced-form models," Economics Papers 2015-W07, Economics Group, Nuffield College, University of Oxford.
  17. Mr. Andrew J Swiston, 2011. "Official Dollarization As a Monetary Regime: Its Effectson El Salvador," IMF Working Papers 2011/129, International Monetary Fund.
  18. Norden, Lars & Mesquita, Daniel & Wang, Weichao, 2021. "COVID-19, policy interventions and credit: The Brazilian experience," Journal of Financial Intermediation, Elsevier, vol. 48(C).
  19. Matthew Greenwood-Nimmo & Daan Steenkamp & Rossouw van Jaarsveld, 2022. "A banklevel analysis of interest rate passthrough in South Africa," Working Papers 11027, South African Reserve Bank.
  20. Castle, Jennifer L. & Doornik, Jurgen A. & Hendry, David F., 2012. "Model selection when there are multiple breaks," Journal of Econometrics, Elsevier, vol. 169(2), pages 239-246.
  21. W H Boshoff, 2012. "Gasoline, Diesel Fuel And Jet Fuel Demand In South Africa," Studies in Economics and Econometrics, Taylor & Francis Journals, vol. 36(1), pages 43-78, April.
  22. Camila Epprecht & Dominique Guegan & Álvaro Veiga & Joel Correa da Rosa, 2017. "Variable selection and forecasting via automated methods for linear models: LASSO/adaLASSO and Autometrics," Post-Print halshs-00917797, HAL.
  23. Antonia Lòpez-Villavicencio & Luis Antonio Reyes Ortiz, 2018. "Is globalisation taking away jobs? An empirical assessment for advanced economies," Working Papers halshs-01895223, HAL.
  24. Escribano, Álvaro & Guasch, J. Luis & Pena, Jorge, 2019. "Investment Climate Effects on Alternative Firm-Level Productivity Measures," UC3M Working papers. Economics 28639, Universidad Carlos III de Madrid. Departamento de Economía.
  25. Camila Epprecht & Dominique Guegan & Álvaro Veiga, 2013. "Comparing variable selection techniques for linear regression: LASSO and Autometrics," Documents de travail du Centre d'Economie de la Sorbonne 13080, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
  26. Mauleón, Ignacio & Hamoudi, Hamid, 2017. "Photovoltaic and wind cost decrease estimation: Implications for investment analysis," Energy, Elsevier, vol. 137(C), pages 1054-1065.
  27. Durevall, Dick & Loening, Josef L. & Ayalew Birru, Yohannes, 2013. "Inflation dynamics and food prices in Ethiopia," Journal of Development Economics, Elsevier, vol. 104(C), pages 89-106.
  28. Camila Epprecht & Dominique Guegan & Álvaro Veiga & Joel Correa da Rosa, 2017. "Variable selection and forecasting via automated methods for linear models: LASSO/adaLASSO and Autometrics," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00917797, HAL.
  29. Takamitsu Kurita, 2019. "A Recursive Monte Carlo Study of Structural-Break Sensitivity of Adjustment Coefficients in Cointegrated VAR Systems," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(2), pages 251-270, June.
  30. Paul Plummer & Michael Taylor, 2011. "Enterprise and Competitive Advantage in the Australian Context: A Spatial Econometric Perspective," Spatial Economic Analysis, Taylor & Francis Journals, vol. 6(3), pages 311-330, January.
  31. Jurgen A. Doornik & David F. Hendry & Steve Cook, 2015. "Statistical model selection with “Big Data”," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1045216-104, December.
  32. D. Kuang & B. Nielsen, 2018. "Generalized Log-Normal Chain-Ladder," Papers 1806.05939, arXiv.org.
  33. Muhammad Akhtaruzzaman & Christopher Hajzler & P. Dorian Owen, 2018. "Does institutional quality resolve the Lucas Paradox?," Applied Economics, Taylor & Francis Journals, vol. 50(5), pages 455-474, January.
  34. Ahumada, Hildegart A. & Garegnani, Maria Lorena, 2012. "Forecasting a monetary aggregate under instability: Argentina after 2001," International Journal of Forecasting, Elsevier, vol. 28(2), pages 412-427.
  35. D. Kuang & B. Nielsen, 2018. "Generalized Log-Normal Chain-Ladder," Economics Papers 2018-W02, Economics Group, Nuffield College, University of Oxford.
  36. Paweł Kaczmarczyk, 2017. "Ekonometryczne modelowanie i prognozowanie rozwoju polskiego sektora ICT z uwzględnieniem wskaźników makroekonomicznych," Collegium of Economic Analysis Annals, Warsaw School of Economics, Collegium of Economic Analysis, issue 45, pages 259-272.
  37. Vassilios Bazinas & Bent Nielsen, 2022. "Causal Transmission in Reduced-Form Models," Econometrics, MDPI, vol. 10(2), pages 1-25, March.
  38. Fullerton, Thomas M., Jr. & Ceballos, Alejandro & Walke, Adam G., 2015. "Short-Term Forecasting Analysis for Municipal Water Demand," MPRA Paper 78259, University Library of Munich, Germany, revised 04 Aug 2015.
  39. Mrs. Swarnali A Hannan, 2015. "If the Fed Acts, How Do You React? The Liftoff Effect on Capital Flows," IMF Working Papers 2015/256, International Monetary Fund.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.