The Numerical Reliability of Econometric Software

Citations

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography for Economics:

1. > Economics Profession > Publishing in Economics > Replication

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Cited by:

1. Ricardo De Bonis & Giuseppe Bruno, 2000. "A Comparative Study Of Alternative Econometric Packages: An Application To Italian Deposit Interest Rates," Computing in Economics and Finance 2000 160, Society for Computational Economics.
2. Leonard E. Burman & W. Robert Reed & James Alm, 2011. "A Call for Replication Studies," Public Finance Review, , vol. 39(1), pages 190-190, January.
   • Leonard E. Burman & W. Robert Reed & James Alm, 2010. "A Call for Replication Studies," Public Finance Review, , vol. 38(6), pages 787-793, November.
   • James Alm, 2010. "A Call for Replication Studies," Public Finance Review, , vol. 38(5), pages 647-653, September.
   • James Alm, 2010. "A Call for Replication Studies," Public Finance Review, , vol. 38(2), pages 139-145, March.
   • James Alm, 2010. "A Call for Replication Studies," Public Finance Review, , vol. 38(1), pages 4-10, January.
   • James Alm, 2010. "A Call for Replication Studies," Public Finance Review, , vol. 38(3), pages 275-281, May.
   • James Alm, 2010. "A Call for Replication Studies," Public Finance Review, , vol. 38(4), pages 501-507, July.
3. Thomas Mayer, 2006. "The Empirical Significance of Econometric Models," Working Papers 620, University of California, Davis, Department of Economics.
4. repec:jss:jstsof:21:i01 is not listed on IDEAS
5. Jeffrey S. Zax, 2002. "Comment on “Estimating the Extent of Racially Polarized Voting in Multicandidate Contests†by Bernard Grofman and Michael Migalski," Sociological Methods & Research, , vol. 31(1), pages 75-86, August.
6. Winker, Peter & Gilli, Manfred, 2004. "Applications of optimization heuristics to estimation and modelling problems," Computational Statistics & Data Analysis, Elsevier, vol. 47(2), pages 211-223, September.
7. B. D. McCullough & H. D. Vinod, 2003. "Verifying the Solution from a Nonlinear Solver: A Case Study," American Economic Review, American Economic Association, vol. 93(3), pages 873-892, June.
8. Liu, Yan & Luger, Richard, 2009. "Efficient estimation of copula-GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2284-2297, April.
9. Mencia, Javier F. & Sentana, Enrique, 2004. "Estimation and testing of dynamic models with generalised hyperbolic innovations," LSE Research Online Documents on Economics 24742, London School of Economics and Political Science, LSE Library.
   • Sentana, Enrique & Mencía, Javier, 2005. "Estimation and Testing of Dynamic Models with Generalized Hyperbolic Innovations," CEPR Discussion Papers 5177, C.E.P.R. Discussion Papers.
   • Enrique Sentana, 2004. "Estimation and Testing of Dynamic Models with Generalised Hyperbolic Innovations," FMG Discussion Papers dp502, Financial Markets Group.
   • F. Javier Mencía & Enrique Sentana, 2004. "Estimation and Testing of Dynamic Models with Generalised Hyperbolic Innovations," Working Papers wp2004_0411, CEMFI.
10. Mencía, Javier & Sentana, Enrique, 2009. "Multivariate location-scale mixtures of normals and mean-variance-skewness portfolio allocation," Journal of Econometrics, Elsevier, vol. 153(2), pages 105-121, December.
    • Javier Mencía & Enrique Sentana, 2008. "Multivariate Location-Scale Mixtures of Normals and Mean-Variance-skewness Portfolio Allocation," Working Papers wp2008_0805, CEMFI.
    • Javier Mencía & Enrique Sentana, 2009. "Multivariate location-scale mixtures of normals and mean-variance-skewness portfolio allocation," Working Papers 0909, Banco de España.
11. Oluwarotimi O. Odeh & Allen M. Featherstone & Jason S. Bergtold, 2010. "Reliability of Statistical Software," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 92(5), pages 1472-1489.
12. James Alm & W. Robert Reed, 2015. "The Need for Replications," Public Finance Review, , vol. 43(2), pages 139-142, March.
13. Works, Richard Floyd, 2016. "Econometric modeling of exchange rate determinants by market classification: An empirical analysis of Japan and South Korea using the sticky-price monetary theory," MPRA Paper 76382, University Library of Munich, Germany.
14. A. Talha Yalta & A. Yasemin Yalta, 2007. "GRETL 1.6.0 and its numerical accuracy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 849-854.
    • A. Talha Yalta & A. Yasemin Yalta, 2010. "Gretl 1.6.0 and Its Numerical Accuracy," Working Papers 1003, TOBB University of Economics and Technology, Department of Economics.
15. Giovanni Baiocchi & Walter Distaso, 2003. "GRETL: Econometric software for the GNU generation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 105-110.
16. Justin Wolfers, 2006. "Did Unilateral Divorce Laws Raise Divorce Rates? A Reconciliation and New Results," American Economic Review, American Economic Association, vol. 96(5), pages 1802-1820, December.
    • Justin Wolfers, 2003. "Did Unilateral Divorce Laws Raise Divorce Rates? A Reconciliation and New Results," NBER Working Papers 10014, National Bureau of Economic Research, Inc.
    • Wolfers, Justin, 2003. "Did Unilateral Divorce Laws Raise Divorce Rates? A Reconciliation and New Results," Research Papers 1819, Stanford University, Graduate School of Business.
17. Peter Winker & Dietmar Maringer, 2009. "The convergence of estimators based on heuristics: theory and application to a GARCH model," Computational Statistics, Springer, vol. 24(3), pages 533-550, August.
18. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
19. Reagle, Derrick P. & Vinod, H. D., 2003. "Inference for negativist theory using numerically computed rejection regions," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 491-512, March.
20. A. Talha Yalta, 2010. "The Accuracy of Statistical Distributions in Microsoft (R) Excel 2007," Working Papers 1006, TOBB University of Economics and Technology, Department of Economics.
21. Lütkepohl,Helmut & Krätzig,Markus (ed.), 2004. "Applied Time Series Econometrics," Cambridge Books, Cambridge University Press, number 9780521547871.
22. Jason S. Bergtold & Krishna P. Pokharel & Allen M. Featherstone & Lijia Mo, 2018. "On the examination of the reliability of statistical software for estimating regression models with discrete dependent variables," Computational Statistics, Springer, vol. 33(2), pages 757-786, June.
23. Ooms, M., 2008. "Trends in Applied Econometrics Software Development 1985-2008, an analysis of Journal of Applied Econometrics research articles, software reviews, data and code," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
24. Bernard Salanié, 1999. "Guide pratique des séries non-stationnaires," Économie et Prévision, Programme National Persée, vol. 137(1), pages 119-141.
    • Bernard Salanié, 1999. "Guide pratique des séries non stationnaires," Working Papers 99-23, Center for Research in Economics and Statistics.
25. McCullough, B. D., 2000. "Is it safe to assume that software is accurate?," International Journal of Forecasting, Elsevier, vol. 16(3), pages 349-357.
26. Fiorentini, Gabriele & Sentana, Enrique & Calzolari, Giorgio, 2003. "Maximum Likelihood Estimation and Inference in Multivariate Conditionally Heteroscedastic Dynamic Regression Models with Student t Innovations," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(4), pages 532-546, October.
    • Gabriele Fiorentini & Enrique Sentana & Giorgio Calzolari, 2000. "The Score Of Conditionally Heteroskedastic Dynamic Regression Models With Student T Innovations, An Lm Test For Multivariate Normality," Working Papers. Serie AD 2000-33, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    • Fiorentini, G. & Sentana, E. & Calzolari, G., 2000. "The Score of Condionally Heteroskedastic Dynamic Regression Models with Student T Innovations, and an LM Test for Multivariate Normality," Papers 0007, Centro de Estudios Monetarios Y Financieros-.
27. Vinod, H. D., 2001. "Care and feeding of reproducible econometrics," Journal of Econometrics, Elsevier, vol. 100(1), pages 87-88, January.
28. McCullough, B. D., 2018. "Quis custodiet ipsos custodes? Despite evidence to the contrary, the American Economic Review concluded that all was well with its archive," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-13.
29. Yalta, A. Talha, 2008. "The accuracy of statistical distributions in Microsoft® Excel 2007," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4579-4586, June.
30. David E. Allen & Michael McAleer, 2018. "Theoretical and Empirical Differences between Diagonal and Full BEKK for Risk Management," Energies, MDPI, vol. 11(7), pages 1-19, June.
    • David Allen & Michael McAleer, 2017. "Theoretical and Empirical Differences Between Diagonal and Full Bekk for Risk Management," Tinbergen Institute Discussion Papers 17-069/III, Tinbergen Institute.
    • David E. Allen & Michael McAleer, 2017. "Theoretical and Empirical Differences Between Diagonal and Full BEKK for Risk Management," Documentos de Trabajo del ICAE 2017-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    • Tan, A.C. & McAleer, M.J., 2017. "Theoretical and Empirical Differences Between Diagonal and Full BEKK for Risk Management," Econometric Institute Research Papers 17-069/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
31. Lars Vilhuber, 2023. "Report of the AEA Data Editor," AEA Papers and Proceedings, American Economic Association, vol. 113, pages 850-863, May.
    • Lars Vilhuber & James Turrito & Keesler Welch, 2020. "Report by the AEA Data Editor," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 764-775, May.
    • Lars Vilhuber, 2019. "Report by the AEA Data Editor," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 718-729, May.
    • Lars Vilhuber, 2021. "Report by the AEA Data Editor," AEA Papers and Proceedings, American Economic Association, vol. 111, pages 808-817, May.
    • Lars Vilhuber, 2022. "Report by the AEA Data Editor," AEA Papers and Proceedings, American Economic Association, vol. 112, pages 813-823, May.
32. K. Diamantopoulos & I. Vrontos, 2010. "A Student-t Full Factor Multivariate GARCH Model," Computational Economics, Springer;Society for Computational Economics, vol. 35(1), pages 63-83, January.
33. A. Yalta & A. Yalta, 2010. "Should Economists Use Open Source Software for Doing Research?," Computational Economics, Springer;Society for Computational Economics, vol. 35(4), pages 371-394, April.
    • A. Talha Yalta & A. Yasemin Yalta, 2010. "Should Economists Use Open Source Software for Doing Research?," Working Papers 1007, TOBB University of Economics and Technology, Department of Economics.
    • A. Talha Yalta & A. Yasemin Yalta, 2012. "Should Economists Use Open Source Software for Doing Research?," Hacettepe University Department of Economics Working Papers 20127, Hacettepe University, Department of Economics.
34. Gilles Teyssière, 2005. "Structural time series modelling with STAMP 6.02," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 571-577, May.
35. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109.
    • Luc Bauwens & Sébastien Laurent & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109, January.
    • BAUWENS, Luc & LAURENT, Sébastien & ROMBOUTS, Jeroen, 2003. "Multivariate GARCH models: a survey," LIDAM Discussion Papers CORE 2003031, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    • BAUWENS, Luc & LAURENT, Sébastien & ROMBOUTS, Jeroen VK, 2006. "Multivariate GARCH models: a survey," LIDAM Reprints CORE 1847, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
36. B. D. McCullough & H. D. Vinod, 2004. "Verifying the Solution from a Nonlinear Solver: A Case Study: Reply," American Economic Review, American Economic Association, vol. 94(1), pages 400-406, March.
    • B. D. McCullough & H. D. Vinod, 2004. "Verifying the Solution from a Nonlinear Solver: A Case Study: Reply," American Economic Review, American Economic Association, vol. 94(1), pages 391-396, March.
37. Yalta, A. Talha & Jenal, Olaf, 2009. "On the importance of verifying forecasting results," International Journal of Forecasting, Elsevier, vol. 25(1), pages 62-73.
    • A. Talha Yalta & Olaf Jenal, 2008. "On the Importance of Verifying Forecasting Results," Working Papers 0804, TOBB University of Economics and Technology, Department of Economics.
38. Yun, Myeong-Su, 1999. "Generalized Selection Bias and The Decomposition of Wage Differentials," IZA Discussion Papers 69, Institute of Labor Economics (IZA).
39. McCullough, B D, 1999. "Econometric Software Reliability: EViews, LIMDEP, SHAZAM and TSP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 191-202, March-Apr.
40. José M. Labeaga & Xisco Oliver & Amedeo Spadaro, "undated". "Measuring Changes in Health Capital," Working Papers 2005-15, FEDEA.
41. Gilles Teyssière, 2005. "Structural time series modelling with STAMP 6.02," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 571-577.
42. B. D. McCullough, 2006. "A review of TESTU01," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 677-682, July.
    • B. D. McCullough, 2006. "A review of TESTU01," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 677-682.
43. A. M. Kitchen & R. Drachenberg & J. Symanzik, 2003. "Assessing the reliability of web-based statistical software," Computational Statistics, Springer, vol. 18(1), pages 107-122, March.
44. Thomas Mayer, 2012. "Ziliak and McCloskey's Criticisms of Significance Tests: An Assessment," Econ Journal Watch, Econ Journal Watch, vol. 9(3), pages 256-297, September.
45. Bergtold, Jason S. & Pokharel, Krishna & Featherstone, Allen, 2015. "On the Examination of the Reliability of Statistical Software for Estimating Logistic Regression Models," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205643, Agricultural and Applied Economics Association.
46. David M. Lilien, 2000. "Econometric software reliability and nonlinear estimation in EViews: comment," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 107-110.
47. Altman, Micah & Gill, Jeff & McDonald, Michael P., 2007. "accuracy: Tools for Accurate and Reliable Statistical Computing," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 21(i01).
48. Rupel Nargunam & William W. S. Wei & N. Anuradha, 2021. "Investigating seasonality, policy intervention and forecasting in the Indian gold futures market: a comparison based on modeling non-constant variance using two different methods," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-15, December.
49. Giovanni Baiocchi, 2007. "Reproducible research in computational economics: guidelines, integrated approaches, and open source software," Computational Economics, Springer;Society for Computational Economics, vol. 30(1), pages 19-40, August.
50. Maren Duvendack & Richard Palmer-Jones, 2013. "Replication of quantitative work in development studies: Experiences and suggestions," Progress in Development Studies, , vol. 13(4), pages 307-322, October.
51. Gatfaoui, Hayette, 2013. "Translating financial integration into correlation risk: A weekly reporting's viewpoint for the volatility behavior of stock markets," Economic Modelling, Elsevier, vol. 30(C), pages 776-791.