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Rebecca J. Sela

Personal Details

First Name:Rebecca
Middle Name:J.
Last Name:Sela
Suffix:
RePEc Short-ID:pse224
Terminal Degree:2010 Stern School of Business; New York University (NYU) (from RePEc Genealogy)

Affiliation

JP Morgan Chase & Co.

http://www.chase.com
Columbus, OH

Research output

as
Jump to: Articles

Articles

  1. Rebecca J. Sela & Clifford M. Hurvich, 2012. "The averaged periodogram estimator for a power law in coherency," Journal of Time Series Analysis, Wiley Blackwell, vol. 33(2), pages 340-363, March.
  2. Rebecca J. Sela & Clifford M. Hurvich, 2009. "Computationally efficient methods for two multivariate fractionally integrated models," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(6), pages 631-651, November.
  3. Robert Rich & Jason Bram & Andrew Haughwout & James Orr & Rae Rosen & Rebecca Sela, 2005. "Using Regional Economic Indexes to Forecast Tax Bases: Evidence from New York," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 627-634, November.
  4. Erica L. Groshen & Simon M. Potter & Rebecca J. Sela, 2004. "Economic restructuring in New York State," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 10(Jun).
  5. Dee, Thomas S. & Sela, Rebecca J., 2003. "The fatality effects of highway speed limits by gender and age," Economics Letters, Elsevier, vol. 79(3), pages 401-408, June.

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.

Articles

  1. Rebecca J. Sela & Clifford M. Hurvich, 2012. "The averaged periodogram estimator for a power law in coherency," Journal of Time Series Analysis, Wiley Blackwell, vol. 33(2), pages 340-363, March.

    Cited by:

    1. Dong, Keqiang & Zhang, Hong & Gao, You, 2017. "Dynamical mechanism in aero-engine gas path system using minimum spanning tree and detrended cross-correlation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 465(C), pages 363-369.
    2. Qin, Jing & Ge, Jintian & Lu, Xinsheng, 2018. "The effectiveness of the monetary policy in China: New evidence from long-range cross-correlation analysis and the components of multifractality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 1026-1037.
    3. Abry, Patrice & Didier, Gustavo, 2018. "Wavelet eigenvalue regression for n-variate operator fractional Brownian motion," Journal of Multivariate Analysis, Elsevier, vol. 168(C), pages 75-104.
    4. Li, Ming, 2017. "Record length requirement of long-range dependent teletraffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 472(C), pages 164-187.
    5. Kakinaka, Shinji & Umeno, Ken, 2021. "Exploring asymmetric multifractal cross-correlations of price–volatility and asymmetric volatility dynamics in cryptocurrency markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).
    6. Patrice Abry & Gustavo Didier & Hui Li, 2019. "Two-step wavelet-based estimation for Gaussian mixed fractional processes," Statistical Inference for Stochastic Processes, Springer, vol. 22(2), pages 157-185, July.
    7. da Silva, Marcus Fernandes & de Area Leão Pereira, Éder Johnson & da Silva Filho, Aloisio Machado & de Castro, Arleys Pereira Nunes & Miranda, José Garcia Vivas & Zebende, Gilney Figueira, 2016. "Quantifying the contagion effect of the 2008 financial crisis between the G7 countries (by GDP nominal)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 453(C), pages 1-8.
    8. Kristoufek, Ladislav, 2015. "On the interplay between short and long term memory in the power-law cross-correlations setting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 218-222.
    9. Fernández-Martínez, M. & Sánchez-Granero, M.A. & Casado Belmonte, M.P. & Trinidad Segovia, J.E., 2020. "A note on power-law cross-correlated processes," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    10. Ladislav Kristoufek, 2013. "Testing power-law cross-correlations: Rescaled covariance test," Papers 1307.4727, arXiv.org, revised Aug 2013.
    11. Todea, Alexandru, 2016. "Cross-correlations between volatility, volatility persistence and stock market integration: the case of emergent stock markets," Chaos, Solitons & Fractals, Elsevier, vol. 87(C), pages 208-215.
    12. Kristoufek, Ladislav, 2013. "Mixed-correlated ARFIMA processes for power-law cross-correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6484-6493.
    13. Kristoufek, Ladislav, 2015. "Can the bivariate Hurst exponent be higher than an average of the separate Hurst exponents?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 431(C), pages 124-127.
    14. Ladislav Kristoufek, 2016. "Power-law cross-correlations estimation under heavy tails," Papers 1602.05385, arXiv.org, revised Apr 2016.
    15. Kristoufek, Ladislav, 2014. "Measuring correlations between non-stationary series with DCCA coefficient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 402(C), pages 291-298.
    16. Kristoufek, Ladislav, 2015. "Finite sample properties of power-law cross-correlations estimators," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 513-525.
    17. Ladislav Kristoufek, 2014. "Spectrum-based estimators of the bivariate Hurst exponent," Papers 1408.6637, arXiv.org, revised Nov 2014.
    18. Ladislav Kristoufek, 2018. "Power-law cross-correlations: Issues, solutions and future challenges," Papers 1806.01616, arXiv.org.
    19. Sophie Achard & Irène Gannaz, 2016. "Multivariate Wavelet Whittle Estimation in Long-range Dependence," Journal of Time Series Analysis, Wiley Blackwell, vol. 37(4), pages 476-512, July.
    20. Machado Filho, A. & da Silva, M.F. & Zebende, G.F., 2014. "Autocorrelation and cross-correlation in time series of homicide and attempted homicide," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 400(C), pages 12-19.
    21. Shen, Chenhua, 2019. "The influence of a scaling exponent on ρDCCA: A spatial cross-correlation pattern of precipitation records over eastern China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 579-590.

  2. Rebecca J. Sela & Clifford M. Hurvich, 2009. "Computationally efficient methods for two multivariate fractionally integrated models," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(6), pages 631-651, November.

    Cited by:

    1. Hung Do & Rabindra Nepal & Tooraj Jamasb, 2020. "Electricity market integration, decarbonisation and security of supply: Dynamic volatility connectedness in the Irish and Great Britain markets," CAMA Working Papers 2020-42, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Gbaguidi DAVID, 2011. "Expectations Impact On The Effectiveness Of The Inflation-Real Activity Trade-Off," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 2(2), pages 141-181.
    3. Sibbertsen, Philipp & Leschinski, Christian & Busch, Marie, 2018. "A multivariate test against spurious long memory," Journal of Econometrics, Elsevier, vol. 203(1), pages 33-49.
    4. Kristoufek, Ladislav, 2015. "On the interplay between short and long term memory in the power-law cross-correlations setting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 421(C), pages 218-222.
    5. Paulo M.M. Rodrigues & Marina Balboa, 2021. "Multivariate Fractional Integration Tests allowing for Conditional Heteroskedasticity with an Application to Return Volatility and Trading Volume," Working Papers w202102, Banco de Portugal, Economics and Research Department.
    6. Yao Axel Ehouman, 2020. "Volatility transmission between oil prices and banks’ stock prices as a new source of instability: Lessons from the United States experience," Post-Print hal-02960571, HAL.
    7. G. Mesters & S. J. Koopman & M. Ooms, 2016. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Econometric Reviews, Taylor & Francis Journals, vol. 35(4), pages 659-687, April.
    8. Kristoufek, Ladislav, 2013. "Mixed-correlated ARFIMA processes for power-law cross-correlations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6484-6493.
    9. Yao Axel Ehouman, 2019. "Volatility transmission between oil prices and banks stock prices as a new source of instability: Lessons from the US Experience," Working Papers hal-04141868, HAL.
    10. Stefanos Kechagias & Vladas Pipiras, 2020. "Modeling bivariate long‐range dependence with general phase," Journal of Time Series Analysis, Wiley Blackwell, vol. 41(2), pages 268-292, March.
    11. Yao Axel Ehouman, 2019. "Volatility transmission between oil prices and banks stock prices as a new source of instability: Lessons from the US Experience," EconomiX Working Papers 2019-19, University of Paris Nanterre, EconomiX.
    12. Ross Doppelt & Keith O'Hara, 2018. "Bayesian Estimation of Fractionally Integrated Vector Autoregressions and an Application to Identified Technology Shocks," 2018 Meeting Papers 1212, Society for Economic Dynamics.
    13. Ehouman, Yao Axel, 2020. "Volatility transmission between oil prices and banks' stock prices as a new source of instability: Lessons from the United States experience," Economic Modelling, Elsevier, vol. 91(C), pages 198-217.
    14. Ladislav Kristoufek, 2018. "Power-law cross-correlations: Issues, solutions and future challenges," Papers 1806.01616, arXiv.org.
    15. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon & Wu, Eliza, 2016. "Stock and currency market linkages: New evidence from realized spillovers in higher moments," International Review of Economics & Finance, Elsevier, vol. 42(C), pages 167-185.
    16. Bensalma, Ahmed, 2018. "Two Distinct Seasonally Fractionally Differenced Periodic Processes," MPRA Paper 84969, University Library of Munich, Germany.
    17. Gbaguidi, David, 2012. "La courbe de Phillips : temps d’arbitrage et/ou arbitrage de temps," L'Actualité Economique, Société Canadienne de Science Economique, vol. 88(1), pages 87-119, mars.

  3. Robert Rich & Jason Bram & Andrew Haughwout & James Orr & Rae Rosen & Rebecca Sela, 2005. "Using Regional Economic Indexes to Forecast Tax Bases: Evidence from New York," The Review of Economics and Statistics, MIT Press, vol. 87(4), pages 627-634, November.

    Cited by:

    1. Todd E. Clark & Michael W. McCracken, 2011. "Tests of equal forecast accuracy for overlapping models," Working Papers (Old Series) 1121, Federal Reserve Bank of Cleveland.
    2. Jason Bram & James A. Orr & Robert W. Rich & Rae D. Rosen & Joseph Song, 2009. "Is the worst over? Economic indexes and the course of the recession in New York and New Jersey," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 15(Sep).

  4. Erica L. Groshen & Simon M. Potter & Rebecca J. Sela, 2004. "Economic restructuring in New York State," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 10(Jun).

    Cited by:

    1. Richard Vogel & W. Hubert Keen, 2010. "Public Higher Education and New York State’s Economy," Economic Development Quarterly, , vol. 24(4), pages 384-393, November.
    2. Jason Bram & James A. Orr, 2006. "Taking the pulse of the New York City economy," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 12(May).
    3. James A. Orr & Rae D. Rosen, 2004. "New York and New Jersey poised for modest job growth in 2005," Current Issues in Economics and Finance, Federal Reserve Bank of New York, vol. 10(Dec).

  5. Dee, Thomas S. & Sela, Rebecca J., 2003. "The fatality effects of highway speed limits by gender and age," Economics Letters, Elsevier, vol. 79(3), pages 401-408, June.

    Cited by:

    1. Mercedes Castro-Nuno & José I. Castillo-Manzano & Diego J. Pedregal-Tercero, 2013. "The Speed Limits Debate: Is Effective A Temporary Change? The Case Of Spain," ERSA conference papers ersa13p160, European Regional Science Association.
    2. Anderson, D. Mark & Rees, Daniel I., 2011. "Medical Marijuana Laws, Traffic Fatalities, and Alcohol Consumption," IZA Discussion Papers 6112, Institute of Labor Economics (IZA).
    3. Anderson, D. Mark & Rees, Daniel I., 2012. "Per Se Drugged Driving Laws and Traffic Fatalities," IZA Discussion Papers 7048, Institute of Labor Economics (IZA).
    4. Castillo-Manzano, José I. & Castro-Nuño, Mercedes & Pedregal-Tercero, Diego J., 2014. "Temporary speed limit changes: An econometric estimation of the effects of the Spanish Energy Efficiency and Saving Plan," Economic Modelling, Elsevier, vol. 44(S1), pages 68-76.
    5. Daniel Albalate, 2008. "Lowering blood alcohol content levels to save lives: The European experience," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 27(1), pages 20-39.
    6. Anderson, D. Mark & Rees, Daniel I., 2015. "Per se drugged driving laws and traffic fatalities," International Review of Law and Economics, Elsevier, vol. 42(C), pages 122-134.
    7. Michael A. Morrisey & David C. Grabowski, 2005. "State motor vehicle laws and older drivers," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 407-419, April.
    8. Daniel Albalate, 2007. "Lowering blood alcohol content levels to save lives: A European case study," Working Papers in Economics 173, Universitat de Barcelona. Espai de Recerca en Economia.
    9. Mercedes Castro-Nuño & José I. Castillo-Manzano & Xavier Fageda, 2015. "Do more trucks lead to more motor vehicle fatalities in European roads? Evaluating the impact of specific safety strategies," ERSA conference papers ersa15p306, European Regional Science Association.
    10. Daniel Albalate, 2013. "The Road against Fatalities: Infrastructure Spending vs. Regulation?," ERSA conference papers ersa13p221, European Regional Science Association.
    11. Gustavsson, Magnus & Osterholm, Par, 2006. "The informational value of unemployment statistics: A note on the time series properties of participation rates," Economics Letters, Elsevier, vol. 92(3), pages 428-433, September.
    12. Fu, Wei & Simonoff, Jeffrey S., 2015. "Unbiased regression trees for longitudinal and clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 88(C), pages 53-74.

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