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Fallaw Sowell

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Sowell, Fallaw, 2009. "The empirical saddlepoint likelihood estimator applied to two-step GMM," MPRA Paper 15494, University Library of Munich, Germany, revised May 2009.

    Cited by:

    1. Lô, Serigne N. & Ronchetti, Elvezio, 2012. "Robust small sample accurate inference in moment condition models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3182-3197.

  2. Sowell, Fallaw, 2006. "The Empirical Saddlepoint Approximation for GMM Estimators," MPRA Paper 3356, University Library of Munich, Germany, revised May 2007.

    Cited by:

    1. Sowell, Fallaw, 2009. "The empirical saddlepoint likelihood estimator applied to two-step GMM," MPRA Paper 15494, University Library of Munich, Germany, revised May 2009.
    2. Luis Quintero, "undated". "MCMC Approach to Classical Estimation with Overidentifying Restrictions," GSIA Working Papers 2013-E13, Carnegie Mellon University, Tepper School of Business.
    3. Ronchetti, Elvezio, 2020. "Accurate and robust inference," Econometrics and Statistics, Elsevier, vol. 14(C), pages 74-88.

  3. Sowell, F., 1989. "The Deterministic Trend In Real Gnp," GSIA Working Papers 88-89-60, Carnegie Mellon University, Tepper School of Business.

    Cited by:

    1. Hosking, Jonathan R. M., 1996. "Asymptotic distributions of the sample mean, autocovariances, and autocorrelations of long-memory time series," Journal of Econometrics, Elsevier, vol. 73(1), pages 261-284, July.
    2. Joseph G. Haubrich & Andrew W. Lo, 1991. "The sources and nature of long-term memory in the business cycle," Working Papers (Old Series) 9116, Federal Reserve Bank of Cleveland.

  4. Fallaw Sowell, "undated". "Tests for Violations of Moment Conditions," GSIA Working Papers 21, Carnegie Mellon University, Tepper School of Business.

    Cited by:

    1. Eric Ghysels & Alain Guay, 1998. "Structural Change Tests for Simulated Method of Moments," CIRANO Working Papers 98s-19, CIRANO.
    2. Ghysels, Eric & Guay, Alain, 2004. "Testing For Structural Change In The Presence Of Auxiliary Models," Econometric Theory, Cambridge University Press, vol. 20(6), pages 1168-1202, December.
    3. Alain Guay, 2001. "Optimal Predictive Tests and a Simulation Study," Cahiers de recherche CREFE / CREFE Working Papers 142, CREFE, Université du Québec à Montréal.

  5. Tony Smith & Fallaw Sowell & Stanley Zin, "undated". "Fractional integration with Drift: Estimation in Small Samples," GSIA Working Papers 22, Carnegie Mellon University, Tepper School of Business.

    Cited by:

    1. Mackinnon, J.G. & Smith, A.A., 1996. "Approximate Bias Correction in Econometrics," G.R.E.Q.A.M. 96a14, Universite Aix-Marseille III.
    2. Bond, Derek & Harrison, Michael J & O’Brien, Edward J., 2006. "Testing for Long Memory and Nonlinear Time Series: A Demand for Money Study," Research Technical Papers 2/RT/06, Central Bank of Ireland.
    3. Doornik, Jurgen A. & Ooms, Marius, 2003. "Computational aspects of maximum likelihood estimation of autoregressive fractionally integrated moving average models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 333-348, March.
    4. Pérez, Ana & Ruiz Ortega, Esther, 2001. "Modelos de memoria larga para series económicas y financieras," DES - Documentos de Trabajo. Estadística y Econometría. DS ds010101, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Doornik Jurgen A & Ooms Marius, 2004. "Inference and Forecasting for ARFIMA Models With an Application to US and UK Inflation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(2), pages 1-25, May.
    6. Pérez, Ana & Ruiz Ortega, Esther, 1999. "Finite sample properties of a QML estimator of stochastic volatility models with long memory," DES - Working Papers. Statistics and Econometrics. WS 6360, Universidad Carlos III de Madrid. Departamento de Estadística.
    7. Bond, Derek & Harrison, Michael J & Hession, Niall & O’Brien, Edward J., 2006. "Some Empirical Observations on the Forward Exchange Rate Anomaly," Research Technical Papers 3/RT/06, Central Bank of Ireland.
    8. Evans, Mark, 2011. "Steel consumption and economic activity in the UK: The integration and cointegration debate," Resources Policy, Elsevier, vol. 36(2), pages 97-106, June.
    9. Cunado, J. & Gil-Alana, L. A. & Perez de Gracia, F., 2004. "Real convergence in Taiwan: a fractionally integrated approach," Journal of Asian Economics, Elsevier, vol. 15(3), pages 529-547, June.
    10. Stelios Arvanitis & Antonis Demos, 2014. "A Class of Indirect Inference Estimators: Higher Order Asymptotics and Approximate Bias Correction (Revised)," DEOS Working Papers 1411, Athens University of Economics and Business, revised 23 Sep 2014.
    11. Carlos Pestana Barros & Luis Gil-Alana, 2006. "Eta: A Persistent Phenomenon," Defence and Peace Economics, Taylor & Francis Journals, vol. 17(2), pages 95-116.

Articles

  1. Nandana Sengupta & Fallaw Sowell, 2020. "On the Asymptotic Distribution of Ridge Regression Estimators Using Training and Test Samples," Econometrics, MDPI, vol. 8(4), pages 1-25, October.

    Cited by:

    1. Fallaw Sowell & Nandana Sengupta, 2021. "Inference for the Linear IV Model Ridge Estimator Using Training and Test Samples," Stats, MDPI, vol. 4(3), pages 1-20, September.

  2. Murphy, Sinnott & Sowell, Fallaw & Apt, Jay, 2019. "A time-dependent model of generator failures and recoveries captures correlated events and quantifies temperature dependence," Applied Energy, Elsevier, vol. 253(C), pages 1-1.

    Cited by:

    1. Lavin, Luke & Murphy, Sinnott & Sergi, Brian & Apt, Jay, 2020. "Dynamic operating reserve procurement improves scarcity pricing in PJM," Energy Policy, Elsevier, vol. 147(C).
    2. Murphy, Sinnott & Lavin, Luke & Apt, Jay, 2020. "Resource adequacy implications of temperature-dependent electric generator availability," Applied Energy, Elsevier, vol. 262(C).
    3. Steinhäuser, J. Micha & Eisenack, Klaus, 2020. "How market design shapes the spatial distribution of power plant curtailment costs," Energy Policy, Elsevier, vol. 144(C).
    4. Zhang, Dongdong & Li, Chunjiao & Goh, Hui Hwang & Ahmad, Tanveer & Zhu, Hongyu & Liu, Hui & Wu, Thomas, 2022. "A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems," Renewable Energy, Elsevier, vol. 189(C), pages 1383-1406.
    5. Bromley-Dulfano, Isaac & Florez, Julian & Craig, Michael T., 2021. "Reliability benefits of wide-area renewable energy planning across the Western United States," Renewable Energy, Elsevier, vol. 179(C), pages 1487-1499.

  3. Garland Durham & John Geweke & Susan Porter‐Hudak & Fallaw Sowell, 2019. "Bayesian Inference for ARFIMA Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 40(4), pages 388-410, July.

    Cited by:

    1. Bognanni, Mark & Zito, John, 2020. "Sequential Bayesian inference for vector autoregressions with stochastic volatility," Journal of Economic Dynamics and Control, Elsevier, vol. 113(C).
    2. Richard Hunt & Shelton Peiris & Neville Weber, 2022. "Estimation methods for stationary Gegenbauer processes," Statistical Papers, Springer, vol. 63(6), pages 1707-1741, December.
    3. Mark Bognanni & John Zito, 2019. "Sequential Bayesian Inference for Vector Autoregressions with Stochastic Volatility," Working Papers 19-29, Federal Reserve Bank of Cleveland.
    4. Denys Pommeret & Laurence Reboul & Anne-francoise Yao, 2023. "Testing the equality of the laws of two strictly stationary processes," Statistical Inference for Stochastic Processes, Springer, vol. 26(1), pages 193-214, April.

  4. Murphy, Sinnott & Apt, Jay & Moura, John & Sowell, Fallaw, 2018. "Resource adequacy risks to the bulk power system in North America," Applied Energy, Elsevier, vol. 212(C), pages 1360-1376.

    Cited by:

    1. Lavin, Luke & Murphy, Sinnott & Sergi, Brian & Apt, Jay, 2020. "Dynamic operating reserve procurement improves scarcity pricing in PJM," Energy Policy, Elsevier, vol. 147(C).
    2. Lai, Qiupin & Liu, Chengxi & Sun, Kai, 2021. "Vulnerability assessment for voltage stability based on solvability regions of decoupled power flow equations," Applied Energy, Elsevier, vol. 304(C).
    3. Murphy, Sinnott & Sowell, Fallaw & Apt, Jay, 2019. "A time-dependent model of generator failures and recoveries captures correlated events and quantifies temperature dependence," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    4. Murphy, Sinnott & Lavin, Luke & Apt, Jay, 2020. "Resource adequacy implications of temperature-dependent electric generator availability," Applied Energy, Elsevier, vol. 262(C).
    5. Sun, Yinong & Frew, Bethany & Dalvi, Sourabh & Dhulipala, Surya C., 2022. "Insights into methodologies and operational details of resource adequacy assessment: A case study with application to a broader flexibility framework," Applied Energy, Elsevier, vol. 328(C).
    6. Chen, Tao & Pipattanasomporn, Manisa & Rahman, Imran & Jing, Zejia & Rahman, Saifur, 2020. "MATPLAN: A probability-based planning tool for cost-effective grid integration of renewable energy," Renewable Energy, Elsevier, vol. 156(C), pages 1089-1099.

  5. Lueken, Roger & Apt, Jay & Sowell, Fallaw, 2016. "Robust resource adequacy planning in the face of coal retirements," Energy Policy, Elsevier, vol. 88(C), pages 371-388.

    Cited by:

    1. Srihari Sundar & Michael T. Craig & Ashley E. Payne & David J. Brayshaw & Flavio Lehner, 2023. "Meteorological drivers of resource adequacy failures in current and high renewable Western U.S. power systems," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    2. Murphy, Sinnott & Sowell, Fallaw & Apt, Jay, 2019. "A time-dependent model of generator failures and recoveries captures correlated events and quantifies temperature dependence," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Reimers, Andrew & Cole, Wesley & Frew, Bethany, 2019. "The impact of planning reserve margins in long-term planning models of the electricity sector," Energy Policy, Elsevier, vol. 125(C), pages 1-8.
    4. Francisco Ralston Fonseca & Paulina Jaramillo & Mario Bergés & Edson Severnini, 2019. "Seasonal effects of climate change on intra-day electricity demand patterns," Climatic Change, Springer, vol. 154(3), pages 435-451, June.
    5. Bublitz, Andreas & Keles, Dogan & Zimmermann, Florian & Fraunholz, Christoph & Fichtner, Wolf, 2018. "A survey on electricity market design: Insights from theory and real-world implementations of capacity remuneration mechanisms," Working Paper Series in Production and Energy 27, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    6. Murphy, Sinnott & Apt, Jay & Moura, John & Sowell, Fallaw, 2018. "Resource adequacy risks to the bulk power system in North America," Applied Energy, Elsevier, vol. 212(C), pages 1360-1376.
    7. Bublitz, Andreas & Keles, Dogan & Zimmermann, Florian & Fraunholz, Christoph & Fichtner, Wolf, 2019. "A survey on electricity market design: Insights from theory and real-world implementations of capacity remuneration mechanisms," Energy Economics, Elsevier, vol. 80(C), pages 1059-1078.

  6. Horowitz, Shira & Mauch, Brandon & Sowell, Fallaw, 2014. "Forecasting residential air conditioning loads," Applied Energy, Elsevier, vol. 132(C), pages 47-55.

    Cited by:

    1. Vu, D.H. & Muttaqi, K.M. & Agalgaonkar, A.P., 2015. "A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables," Applied Energy, Elsevier, vol. 140(C), pages 385-394.
    2. Yang Yuan & Neng Zhu & Haizhu Zhou & Hai Wang, 2021. "A New Model Predictive Control Method for Eliminating Hydraulic Oscillation and Dynamic Hydraulic Imbalance in a Complex Chilled Water System," Energies, MDPI, vol. 14(12), pages 1-23, June.
    3. Trotter, Ian Michael & Féres, José Gustavo & Bolkesjø, Torjus Folsland & de Hollanda, Lavínia Rocha, 2015. "Simulating Brazilian Electricity Demand Under Climate Change Scenarios," Working Papers in Applied Economics 208689, Universidade Federal de Vicosa, Departamento de Economia Rural.
    4. Coelho, Vitor N. & Weiss Cohen, Miri & Coelho, Igor M. & Liu, Nian & Guimarães, Frederico Gadelha, 2017. "Multi-agent systems applied for energy systems integration: State-of-the-art applications and trends in microgrids," Applied Energy, Elsevier, vol. 187(C), pages 820-832.
    5. Haider, Haider Tarish & See, Ong Hang & Elmenreich, Wilfried, 2016. "Residential demand response scheme based on adaptive consumption level pricing," Energy, Elsevier, vol. 113(C), pages 301-308.
    6. Yin, Rongxin & Kara, Emre C. & Li, Yaping & DeForest, Nicholas & Wang, Ke & Yong, Taiyou & Stadler, Michael, 2016. "Quantifying flexibility of commercial and residential loads for demand response using setpoint changes," Applied Energy, Elsevier, vol. 177(C), pages 149-164.

  7. Boning, Wm. Brent & Sowell, Fallaw, 1999. "Optimality For The Integrated Conditional Moment Test," Econometric Theory, Cambridge University Press, vol. 15(5), pages 710-718, October.

    Cited by:

    1. Lu, Xun & White, Habert, 2015. "Testing For Treatment Dependence Of Effects Of A Continuous Treatment," Econometric Theory, Cambridge University Press, vol. 31(5), pages 1016-1053, October.
    2. Huang, Meng & Sun, Yixiao & White, Hal, 2013. "A Flexible Nonparametric Test for Conditional Independence," University of California at San Diego, Economics Working Paper Series qt3pt89204, Department of Economics, UC San Diego.
    3. Herman J. Bierens & Jose R. Carvalho, 2007. "Semi-nonparametric competing risks analysis of recidivism," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(5), pages 971-993.
    4. Lu, Xun & White, Halbert, 2014. "Testing for separability in structural equations," Journal of Econometrics, Elsevier, vol. 182(1), pages 14-26.

  8. Smith, Anthony A, Jr & Sowell, Fallaw & Zin, Stanley E, 1997. "Fractional Integration with Drift: Estimation in Small Samples," Empirical Economics, Springer, vol. 22(1), pages 103-116.
    See citations under working paper version above.
  9. Sowell, Fallaw, 1996. "Optimal Tests for Parameter Instability in the Generalized Method of Moments Framework," Econometrica, Econometric Society, vol. 64(5), pages 1085-1107, September.

    Cited by:

    1. Gospodinov, Nikolay & Kan, Raymond & Robotti, Cesare, 2013. "Chi-squared tests for evaluation and comparison of asset pricing models," Journal of Econometrics, Elsevier, vol. 173(1), pages 108-125.
    2. Boldea, Otilia & Hall, Alastair R., 2013. "Estimation and inference in unstable nonlinear least squares models," Journal of Econometrics, Elsevier, vol. 172(1), pages 158-167.
    3. Achim Zeileis, 2005. "A Unified Approach to Structural Change Tests Based on ML Scores, F Statistics, and OLS Residuals," Econometric Reviews, Taylor & Francis Journals, vol. 24(4), pages 445-466.
    4. Lubos Pastor & Robert F. Stambaugh, "undated". "The Equity Premium and Structural Breaks," Rodney L. White Center for Financial Research Working Papers 11-00, Wharton School Rodney L. White Center for Financial Research.
    5. Guidolin, Massimo & Tam, Yu Man, 2013. "A yield spread perspective on the great financial crisis: Break-point test evidence," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 18-39.
    6. Stuart Hyde & Mohamed Sherif, 2005. "Don't break the habit: structural stability tests of consumption asset pricing models in the UK," Applied Economics Letters, Taylor & Francis Journals, vol. 12(5), pages 289-296.
    7. Sowell, Fallaw, 2009. "The empirical saddlepoint likelihood estimator applied to two-step GMM," MPRA Paper 15494, University Library of Munich, Germany, revised May 2009.
    8. Harding, Don & Pagan, Adrian, 2006. "Synchronization of cycles," Journal of Econometrics, Elsevier, vol. 132(1), pages 59-79, May.
    9. Ghysels, Eric & Guay, Alain & Hall, Alastair, 1998. "Predictive tests for structural change with unknown breakpoint," Journal of Econometrics, Elsevier, vol. 82(2), pages 209-233, February.
    10. Pancrazi, Roberto, 2015. "The heterogeneous Great Moderation," European Economic Review, Elsevier, vol. 74(C), pages 207-228.
    11. Sophocles Mavroeidis & Mikkel Plagborg-Møller & James H. Stock, 2014. "Empirical Evidence on Inflation Expectations in the New Keynesian Phillips Curve," Journal of Economic Literature, American Economic Association, vol. 52(1), pages 124-188, March.
    12. Maria Heracleous & Andreas Koutris & Aris Spanos, 2006. "Testing for Structural Breaks and other forms of Non-stationarity: a Misspecification Perspective," Computing in Economics and Finance 2006 493, Society for Computational Economics.
    13. Hall, Alastair R. & Han, Sanggohn & Boldea, Otilia, 2012. "Inference regarding multiple structural changes in linear models with endogenous regressors," Journal of Econometrics, Elsevier, vol. 170(2), pages 281-302.
    14. Alastair R. Hall, 2015. "Econometricians Have Their Moments: GMM at 32," The Economic Record, The Economic Society of Australia, vol. 91(S1), pages 1-24, June.
    15. Eric Ghysels & Alain Guay, 1998. "Structural Change Tests for Simulated Method of Moments," CIRANO Working Papers 98s-19, CIRANO.
    16. Alain Guay & Jean-Francois Lamarche, 2005. "The Information Content of Implied Probabilities to Detect Structural Change," Working Papers 0804, Brock University, Department of Economics, revised Oct 2008.
    17. Bai, Jushan, 1999. "Likelihood ratio tests for multiple structural changes," Journal of Econometrics, Elsevier, vol. 91(2), pages 299-323, August.
    18. Luis F. Céspedes & Marcelo Ochoa & Claudio Soto, 2005. "The New Keynesian Phillips Curve in an Emerging Market Economy: The Case of Chile," Working Papers Central Bank of Chile 355, Central Bank of Chile.
    19. Kurozumi Eiji, 2015. "Testing for Multiple Structural Changes with Non-Homogeneous Regressors," Journal of Time Series Econometrics, De Gruyter, vol. 7(1), pages 1-35, January.
    20. Partouche, H., 2007. "Time-Varying Coefficients in a GMM Framework: Estimation of a Forward Looking Taylor Rule for the Federal Reserve," Working papers 177, Banque de France.
    21. Bertille Antoine & Eric Renault, 2017. "On the relevance of weaker instruments," Econometric Reviews, Taylor & Francis Journals, vol. 36(6-9), pages 928-945, October.
    22. Head, Allen C. & Smith, Gregor W., 2003. "The CCAPM meets Euro-interest rate persistence, 1960-2000," Journal of International Economics, Elsevier, vol. 59(2), pages 349-366, March.
    23. Delgado, Miguel A. & Arteaga-Molina, Luis A., 2019. "Testing Constancy in Varying Coefficient Models," UC3M Working papers. Economics 27981, Universidad Carlos III de Madrid. Departamento de Economía.
    24. Michael W. McCracken, 2012. "Consistent testing for structural change at the ends of the sample," Working Papers 2012-029, Federal Reserve Bank of St. Louis.
    25. Luis F. Céspedes C. & Claudio Soto G., 2006. "Inflation Targeting And Monetary Policy Credibility In Chile," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 9(3), pages 53-70, December.
    26. Elliott, Graham & Mueller, Ulrich K., 2004. "Optimally Testing General Breaking Processes in Linear Time Series Models," University of California at San Diego, Economics Working Paper Series qt58n33447, Department of Economics, UC San Diego.
    27. Hall, Alastair R. & Han, Sanggohn & Boldea, Otilia, 2008. "Asymptotic Distribution Theory for Break Point Estimators in Models Estimated via 2SLS," MPRA Paper 9472, University Library of Munich, Germany.
    28. Cizek, P. & Haerdle, W. & Spokoiny, V., 2007. "Adaptive Pointwise Estimation in Time-Inhomogeneous Time-Series Models," Discussion Paper 2007-35, Tilburg University, Center for Economic Research.
    29. Delgado, Miguel A. & Fiteni, Inmaculada, 2002. "External bootstrap tests for parameter stability," Journal of Econometrics, Elsevier, vol. 109(2), pages 275-303, August.
    30. Sen, Amit & Hall, Alastair, 1999. "Two further aspects of some new tests for structural stability," Structural Change and Economic Dynamics, Elsevier, vol. 10(3-4), pages 431-443, December.
    31. Adrian Pagan, 2005. "Some Econometric Analysis Of Constructed Binary Time Series," CAMA Working Papers 2005-07, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    32. Leandro M. Magnusson & Sophocles Mavroeidis, 2011. "Identification Using Stability Restrictions," Working Papers 1116, Tulane University, Department of Economics.
    33. Dimitrios D. Thomakos & Fotis Papailias, 2014. "“Out of Sync”: The Breakdown of Economic Sentiment Cycles in the EU," Review of International Economics, Wiley Blackwell, vol. 22(1), pages 131-150, February.
    34. Perron, Pierre, 1997. "L’estimation de modèles avec changements structurels multiples," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 457-505, mars-juin.
    35. Sowell, Fallaw, 2006. "The Empirical Saddlepoint Approximation for GMM Estimators," MPRA Paper 3356, University Library of Munich, Germany, revised May 2007.
    36. Anthony W. Lynch & Jessica A. Wachter, 2008. "Using Samples of Unequal Length in Generalized Method of Moments Estimation," NBER Working Papers 14411, National Bureau of Economic Research, Inc.
    37. Ghysels, Eric & Guay, Alain, 2004. "Testing For Structural Change In The Presence Of Auxiliary Models," Econometric Theory, Cambridge University Press, vol. 20(6), pages 1168-1202, December.
    38. Saraswata Chaudhuri & Eric Renault, 2015. "Shrinkage of Variance for Minimum Distance Based Tests," Econometric Reviews, Taylor & Francis Journals, vol. 34(3), pages 328-351, March.
    39. Hall, Alastair R. & Han, Sanggohn & Boldea, Otilia, 2008. "Inference regarding multiple structural changes in linear models estimated via two stage least squares," MPRA Paper 9251, University Library of Munich, Germany, revised 20 Jun 2008.
    40. Eiji Kurozumi, 2005. "Detection of Structural Change in the Long‐run Persistence in a Univariate Time Series," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(2), pages 181-206, April.
    41. Simon C. Smith, 2020. "Equity premium prediction and structural breaks," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(3), pages 412-429, July.
    42. Paye, Bradley S. & Timmermann, Allan, 2006. "Instability of return prediction models," Journal of Empirical Finance, Elsevier, vol. 13(3), pages 274-315, June.

  10. Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.

    Cited by:

    1. Maggie E. C. Jones & Morten Ørregaard Nielsen & Michael Ksawery Popiel, 2014. "A fractionally cointegrated VAR analysis of economic voting and political support," CREATES Research Papers 2014-23, Department of Economics and Business Economics, Aarhus University.
    2. Franses, Ph.H.B.F. & Ooms, M. & Bos, C.S., 1998. "Long memory and level shifts: re-analysing inflation rates," Econometric Institute Research Papers EI 9811, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. T. Di Matteo & T. Aste & Michel M. Dacorogna, 2004. "Using the Scaling Analysis to Characterize Financial Markets," Finance 0402014, University Library of Munich, Germany.
    4. M. Angeles Carnero & Siem Jan Koopman & Marius Ooms, 2003. "Periodic Heteroskedastic RegARFIMA Models for Daily Electricity Spot Prices," Tinbergen Institute Discussion Papers 03-071/4, Tinbergen Institute.
    5. Morten Ø. Nielsen & Per Houmann Frederiksen, 2005. "Finite Sample Comparison Of Parametric, Semiparametric, And Wavelet Estimators Of Fractional Integration," Working Paper 1189, Economics Department, Queen's University.
    6. Geoffrey Ngene & Charles Lambert & Ali Darrat, 2015. "Testing Long Memory in the Presence of Structural Breaks: An Application to Regional and National Housing Markets," The Journal of Real Estate Finance and Economics, Springer, vol. 50(4), pages 465-483, May.
    7. Claudio Morana, 2010. "Heteroskedastic Factor Vector Autoregressive Estimation of Persistent and Non Persistent Processes Subject to Structural Breaks," ICER Working Papers - Applied Mathematics Series 36-2010, ICER - International Centre for Economic Research.
    8. Baillie, Richard T & Bollerslev, Tim, 1994. "Cointegration, Fractional Cointegration, and Exchange Rate Dynamics," Journal of Finance, American Finance Association, vol. 49(2), pages 737-745, June.
    9. Guglielmo Maria Caporale & Juncal Cunado & Luis A. Gil-Alana, 2008. "Modelling Long-Run Trends and Cycles in Financial Time Series Data," CESifo Working Paper Series 2330, CESifo.
    10. Carlos Barros & Luis Gil-Alana, 2012. "Inflation forecasting in Angola: a fractional approach," CEsA Working Papers 103, CEsA - Centre for African and Development Studies.
    11. D. (Derek) Bond & Michael J. Harrison & Edward J. (Edward Joseph) O'Brien, 2009. "Exploring long memory and nonlinearity in Irish real exchange Rates using tests based on semiparametric estimation," Working Papers 200901, School of Economics, University College Dublin.
    12. Emmanuel Anoruo & Luis Alberiko Gil-Alaña, 2010. "Mean reversion and long memory in African stock market prices," NCID Working Papers 01/2011, Navarra Center for International Development, University of Navarra.
    13. John Barkoulas & Christopher Baum & Mustafa Caglayan, 1999. "Fractional monetary dynamics," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1393-1400.
    14. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    15. Koop, G. & Ley, E. & Osiewalski, J. & Steel, M. F. J., 1997. "Bayesian analysis of long memory and persistence using ARFIMA models," LIDAM Reprints CORE 1246, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    16. Ngene, Geoffrey & Tah, Kenneth A. & Darrat, Ali F., 2017. "Long memory or structural breaks: Some evidence for African stock markets," Review of Financial Economics, Elsevier, vol. 34(C), pages 61-73.
    17. Azomahou, Theophile & Mishra, Tapas, 2009. "Stochastic environmental effects, demographic variation, and economic growth," MERIT Working Papers 2009-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    18. Assaf, Ata & Bhandari, Avishek & Charif, Husni & Demir, Ender, 2022. "Multivariate long memory structure in the cryptocurrency market: The impact of COVID-19," International Review of Financial Analysis, Elsevier, vol. 82(C).
    19. Luis Alberiko Gil-Alana & Antonio Moreno, 2006. "Technology Shocks and Hours Worked: A Fractional Integration Perspective," Faculty Working Papers 03/06, School of Economics and Business Administration, University of Navarra.
    20. Mohamed Boutahar & Gilles Dufrénot & Anne Péguin-Feissolle, 2008. "A Simple Fractionally Integrated Model with a Time-varying Long Memory Parameter d t," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 225-241, April.
    21. Beine, Michel & Laurent, Sébastien & Palm, Franz C., 2009. "Central bank FOREX interventions assessed using realized moments," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(1), pages 112-127, February.
    22. Aaron D. Smallwood & Paul M. Beaumont, 2002. "An Asymptotic MLE Approach to Modelling Multiple Frequency GARMA Models," Computing in Economics and Finance 2002 285, Society for Computational Economics.
    23. Athanasia Gavala & Nikolay Gospodinov & Deming Jiang, 2006. "Forecasting volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 381-400.
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    Cited by:

    1. Guglielmo Maria Caporale & Luis Alberiko Gil-Alaña, 2011. "Interest rate dynamics in Kenya," NCID Working Papers 10/2011, Navarra Center for International Development, University of Navarra.
    2. Morten Ø. Nielsen & Per Houmann Frederiksen, 2005. "Finite Sample Comparison Of Parametric, Semiparametric, And Wavelet Estimators Of Fractional Integration," Working Paper 1189, Economics Department, Queen's University.
    3. John Barkoulas & Christopher Baum & Mustafa Caglayan, 1999. "Fractional monetary dynamics," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1393-1400.
    4. Koop, G. & Ley, E. & Osiewalski, J. & Steel, M. F. J., 1997. "Bayesian analysis of long memory and persistence using ARFIMA models," LIDAM Reprints CORE 1246, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Geetha Mayadunne & Merran Evans & Brett Inder, 1995. "An Empirical Investigation of Shock Persistence in Economic Time Series," The Economic Record, The Economic Society of Australia, vol. 71(2), pages 145-156, June.
    6. Belbute, José, 2013. "Does final demand for energy in Portugal exhibit long memory?," MPRA Paper 45717, University Library of Munich, Germany.
    7. Christophe Andre & Luis A. Gil-Alana & Rangan Gupta, 2013. "Testing for Persistence in Housing Price-to-Income and Price-to-Rent Ratios in 16 OECD Countries," Working Papers 201321, University of Pretoria, Department of Economics.
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