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Citations for "Data Mining"

by Lovell, Michael C

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  1. Don Bellante & Gabriel Picone, 1999. "Fast food and unnatural experiments: Another perspective on the New Jersey minimum wage," Journal of Labor Research, Springer, vol. 20(4), pages 463-477, December.
  2. Rocha, Jordano Vieira & Pereira, Pedro L. Valls, 2015. "Forecast comparison with nonlinear methods for Brazilian industrial production," Textos para discussão 397, Escola de Economia de São Paulo, Getulio Vargas Foundation (Brazil).
  3. Abel Brodeur & Mathias Lé & Marc Sangnier & Yanos Zylberberg, 2015. "Star Wars: The Empirics Strike Back," AMSE Working Papers 1523, Aix-Marseille School of Economics, Marseille, France, revised May 2015.
  4. Sucarrat, Genaro & Bauwens, Luc, 2008. "General to specific modelling of exchange rate volatility : a forecast evaluation," UC3M Working papers. Economics we081810, Universidad Carlos III de Madrid. Departamento de Economía.
  5. repec:hal:wpaper:halshs-00710122 is not listed on IDEAS
  6. Gyrd-Hansen, Dorte, 2004. "Investigating the social value of health changes," Journal of Health Economics, Elsevier, vol. 23(6), pages 1101-1116, November.
  7. Lindsay, R. Murray, 1995. "Reconsidering the status of tests of significance: An alternative criterion of adequacy," Accounting, Organizations and Society, Elsevier, vol. 20(1), pages 35-53, January.
  8. Jennifer Castle & David Hendry, 2007. "Forecasting UK Inflation: the Roles of Structural Breaks and Time Disaggregation," Economics Series Working Papers 309, University of Oxford, Department of Economics.
  9. Thomas J. Kniesner & John D. Leeth, 2004. "Data Mining Mining Data: MSHA Enforcement Efforts, Underground Coal Mine Safety, and New Health Policy Implications," Journal of Risk and Uncertainty, Springer, vol. 29(2), pages 83-111, 09.
  10. Hans-Martin Krolzig, 2001. "General--to--Specific Reductions of Vector Autoregressive Processes," Computing in Economics and Finance 2001 164, Society for Computational Economics.
  11. Hendry, David F. & Johansen, Søren, 2015. "Model Discovery And Trygve Haavelmo’S Legacy," Econometric Theory, Cambridge University Press, vol. 31(01), pages 93-114, February.
  12. Walter Krämer, 2011. "The Cult of Statistical Significance – What Economists Should and Should Not Do to Make their Data Talk," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 131(3), pages 455-468.
  13. David F. Hendry & Søren Johansen, 2011. "The Properties of Model Selection when Retaining Theory Variables," Discussion Papers 11-25, University of Copenhagen. Department of Economics.
  14. Charemza, Wojciech W. & Strachan, Rodney & Zurawski, Piotr, 2010. "False posteriors for the long-term growth determinants," Economics Letters, Elsevier, vol. 109(3), pages 144-146, December.
  15. repec:hal:wpaper:halshs-01158500 is not listed on IDEAS
  16. Kane, Stephen, 2004. "Scientific methods in finance," International Review of Financial Analysis, Elsevier, vol. 13(1), pages 105-118.
  17. Julia Campos & Neil R. Ericsson, 2000. "Constructive data mining: modeling consumers' expenditure in Venezuela," International Finance Discussion Papers 663, Board of Governors of the Federal Reserve System (U.S.).
  18. Gregory G. Brunk, 1989. "The Role of Statistical Heuristics in Public Policy Analysis," Cato Journal, Cato Journal, Cato Institute, vol. 9(1), pages 165-189, Spring/Su.
  19. repec:oxf:wpaper:2003-w17 is not listed on IDEAS
  20. Joseph P. Romano & Michael Wolf, 2003. "Stepwise multiple testing as formalized data snooping," Economics Working Papers 712, Department of Economics and Business, Universitat Pompeu Fabra.
  21. Acosta-González, Eduardo & Fernández-Rodríguez, Fernando & Sosvilla-Rivero, Simón, 2012. "On factors explaining the 2008 financial crisis," Economics Letters, Elsevier, vol. 115(2), pages 215-217.
  22. Walter Kraemer & Gerhard Arminger, 2010. ""True Believers" or Numerical Terrorism at the Nuclear Power Plant," CESifo Working Paper Series 3180, CESifo Group Munich.
  23. David Hendry & Grayham E. Mizon, 2016. "Improving the Teaching of Econometrics," Economics Series Working Papers 785, University of Oxford, Department of Economics.
  24. Tom Kornstad & Ragnar Nymoen & Terje Skjerpen, 2012. "Macroeconomic shocks and the probability of being employed," Discussion Papers 675, Statistics Norway, Research Department.
  25. Robert F. Engle & Martin Klint Hansen & Asger Lunde, 2012. "And Now, The Rest of the News: Volatility and Firm Specific News Arrival," CREATES Research Papers 2012-56, Department of Economics and Business Economics, Aarhus University.
  26. Park, Cheol-Ho & Irwin, Scott H., 2005. "A Reality Check on Technical Trading Rule Profits in US Futures Markets," 2005 Conference, April 18-19, 2005, St. Louis, Missouri 19039, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  27. Hans-Martin Krolzig & David Hendry, 1999. "Computer Automation of General-to-Specific Model Selection Procedures," Computing in Economics and Finance 1999 314, Society for Computational Economics.
  28. Matei Demetrescu & Uwe Hassler & Vladimir Kuzin, 2011. "Pitfalls of post-model-selection testing: experimental quantification," Empirical Economics, Springer, vol. 40(2), pages 359-372, April.
  29. Todd E. Clark, 2004. "Can out-of-sample forecast comparisons help prevent overfitting?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(2), pages 115-139.
  30. Deckers, Thomas & Hanck, Christoph, 2009. "Multiple Testing Techniques in Growth Econometrics," MPRA Paper 17843, University Library of Munich, Germany.
  31. Park, Cheol-Ho & Irwin, Scott H., 2005. "The Profitability of Technical Trading Rules in US Futures Markets: A Data Snooping Free Test," AgMAS Project Research Reports 14771, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
  32. Kevin Hoover & Harris Dellas, 2003. "Truth and Robustness in Cross-country Growth Regressions," Working Papers 11, University of California, Davis, Department of Economics.
  33. Meisel, Stephan & Mattfeld, Dirk, 2010. "Synergies of Operations Research and Data Mining," European Journal of Operational Research, Elsevier, vol. 206(1), pages 1-10, October.
  34. Cheol-Ho Park & Scott H. Irwin, 2007. "What Do We Know About The Profitability Of Technical Analysis?," Journal of Economic Surveys, Wiley Blackwell, vol. 21(4), pages 786-826, 09.
  35. Coppi, Renato, 2002. "A theoretical framework for Data Mining: the "Informational Paradigm"," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 501-515, February.
  36. Todd E. Clark & Michael W. McCracken, 2011. "Advances in forecast evaluation," Working Paper 1120, Federal Reserve Bank of Cleveland.
  37. Stillwagon, Josh R., 2016. "Non-linear exchange rate relationships: An automated model selection approach with indicator saturation," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 84-109.
  38. Yang, Haisheng & He, Jie & Chen, Shaoling, 2015. "The fragility of the Environmental Kuznets Curve: Revisiting the hypothesis with Chinese data via an “Extreme Bound Analysis”," Ecological Economics, Elsevier, vol. 109(C), pages 41-58.
  39. repec:oxf:wpaper:2000-w34.2 is not listed on IDEAS
  40. Hashem Dezhbakhsh & Paul Rubin, 2007. "From the "Econometrics of Capital Punishment" to the "Capital Punishment" of Econometrics: On the Use and Abuse of Sensitivity Analysis," Emory Economics 0715, Department of Economics, Emory University (Atlanta).
  41. David Hendry & Hans-Martin Krolzig, 2003. "The Properties of Automatic Gets Modelling," Economics Papers 2003-W14, Economics Group, Nuffield College, University of Oxford.
  42. repec:oxf:wpaper:2003-w14 is not listed on IDEAS
  43. Felix Pretis & James Reade & Genaro Sucarrat, 2016. "General-to-Specific (GETS) Modelling And Indicator Saturation With The R Package Gets," Economics Series Working Papers 794, University of Oxford, Department of Economics.
  44. Michael T. Belongia, 1984. "Agricultural and financial market interdependence: another view," Working Papers 1984-012, Federal Reserve Bank of St. Louis.
  45. Mitesh Kataria, 2010. "The Role of Preferences in Disagreements over Scientific Hypothesis: An Empirical Inquiry into Environmental and Economic Decision Making," Jena Economic Research Papers 2010-088, Friedrich-Schiller-University Jena.
  46. Ikerne Del Valle & Inmaculada Astorkiza & Kepa Astorkiza, 2003. "Fishing effort validation and substitution possibilities among components: the case study of the VIII division European anchovy fishery," Applied Economics, Taylor & Francis Journals, vol. 35(1), pages 63-77.
  47. Steven Caudill, 1990. "Econometrics in Theory and Practice," Eastern Economic Journal, Eastern Economic Association, vol. 16(3), pages 249-256, Jul-Sep.
  48. Danilov, D.L. & Magnus, J.R., 2001. "On the Harm that Pretesting Does," Discussion Paper 2001-37, Tilburg University, Center for Economic Research.
  49. Kevin D. Hoover & Mark V. Siegler, 2005. "Sound and Fury: McCloskey and Significance Testing in Economics," Econometrics 0511018, EconWPA.
  50. Castle Jennifer L. & Doornik Jurgen A & Hendry David F., 2011. "Evaluating Automatic Model Selection," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-33, February.
  51. Barkbu, Bergljot Bjornson & Nymoen, Ragnar & Roed, Knut, 2003. "Wage coordination and unemployment dynamics in Norway and Sweden," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(1), pages 37-58, March.
  52. Gundlach, Erich, 1993. "Die Dienstleistungsnachfrage als Determinante des wirtschaftlichen Strukturwandels," Open Access Publications from Kiel Institute for the World Economy 763, Kiel Institute for the World Economy (IfW).
  53. Chris Doucouliagos & T.D. Stanley, 2013. "Are All Economic Facts Greatly Exaggerated? Theory Competition And Selectivity," Journal of Economic Surveys, Wiley Blackwell, vol. 27(2), pages 316-339, 04.
  54. Grahame Thompson, 1993. "Causality in economics: Rhetorical ethic or positivist empiric?," Quality & Quantity: International Journal of Methodology, Springer, vol. 27(1), pages 47-71, February.
  55. Pillai N., Vijayamohanan, 2008. "In Quest of Truth: The War of Methods in Economics," MPRA Paper 8866, University Library of Munich, Germany.
  56. Hendry, David F., 2001. "Achievements and challenges in econometric methodology," Journal of Econometrics, Elsevier, vol. 100(1), pages 7-10, January.
  57. Jennifer Castle & David Hendry, 2008. "The Long-Run Determinants of UK Wages, 1860-2004," Economics Series Working Papers 409, University of Oxford, Department of Economics.
  58. Costa-Font, Joan & McGuire, Alistair & Stanley, Tom, 2013. "Publication selection in health policy research: The winner's curse hypothesis," Health Policy, Elsevier, vol. 109(1), pages 78-87.
  59. Kevin D. Hoover & Stephen J. Perez, . "Data Mining Reconsidered: Encompassing And The General-To-Specific Approach To Specification Search," Department of Economics 97-27, California Davis - Department of Economics.
  60. Daniëls, H.A.M. & Feelders, A.J., 2000. "Combining Domain Knowledge and Data in Datamining Systems," Discussion Paper 2000-63, Tilburg University, Center for Economic Research.
  61. Julia Campos & Neil R. Ericsson & David F. Hendry, 2005. "General-to-specific modeling: an overview and selected bibliography," International Finance Discussion Papers 838, Board of Governors of the Federal Reserve System (U.S.).
  62. Duo Qin, 2014. "Inextricability of Autonomy and Confluence in Econometrics," Working Papers 189, Department of Economics, SOAS, University of London, UK.
  63. Danilov, Dmitry & Magnus, J.R.Jan R., 2004. "On the harm that ignoring pretesting can cause," Journal of Econometrics, Elsevier, vol. 122(1), pages 27-46, September.
  64. Engelbert Stockhammer, 2004. "Explaining European Unemployment: Testing the NAIRU Hypothesis and a Keynesian Approach," International Review of Applied Economics, Taylor & Francis Journals, vol. 18(1), pages 1-26.
  65. Omtzigt Pieter, 2002. "Automatic identification and restriction of the cointegration space," Economics and Quantitative Methods qf0213, Department of Economics, University of Insubria.
  66. Oxley, L.T., 1995. "An expert systems approach to econometric modelling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 39(3), pages 379-383.
  67. Darrat, Ali F. & Al-Mutawa, Ahmed, 1996. "Modelling money demand in the United Arab Emirates," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(1), pages 65-87.
  68. David F. Hendry & Hans-Martin Krolzig, 2003. "Sub-sample Model Selection Procedures in Gets Modelling," Economics Papers 2003-W17, Economics Group, Nuffield College, University of Oxford.
  69. Edward L. Glaeser, 2006. "Researcher Incentives and Empirical Methods," NBER Technical Working Papers 0329, National Bureau of Economic Research, Inc.
  70. Josh R. Stillwagon, 2015. "TIPS and the VIX: Non-linear Spillovers from Financial Panic to Breakeven Inflation," Working Papers 1502, Trinity College, Department of Economics.
  71. Hendry, David F. & Mizon, Grayham E., 2001. "Reformulating empirical macro-econometric modelling," Discussion Paper Series In Economics And Econometrics 0104, Economics Division, School of Social Sciences, University of Southampton.
  72. Eduardo Acosta-González & Fernando Fernández-Rodríguez, 2014. "Forecasting Financial Failure of Firms via Genetic Algorithms," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 133-157, February.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.