IDEAS home Printed from https://ideas.repec.org/f/pse224.html
   My authors  Follow this author

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. 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.
    3. 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.
    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. Ladislav Kristoufek, 2013. "Testing power-law cross-correlations: Rescaled covariance test," Papers 1307.4727, arXiv.org, revised Aug 2013.
    6. 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.
    7. 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.
    8. Ladislav Kristoufek, 2016. "Power-law cross-correlations estimation under heavy tails," Papers 1602.05385, arXiv.org, revised Apr 2016.
    9. 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.
    10. 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.
    11. Ladislav Kristoufek, 2014. "Spectrum-based estimators of the bivariate Hurst exponent," Papers 1408.6637, arXiv.org, revised Nov 2014.
    12. 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.
    13. 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.

  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. 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.
    2. Gbaguidi, David Sedo, 2011. "Expectations Impact on the Effectiveness of the Inflation-Real Activity Trade-Off," MPRA Paper 35482, University Library of Munich, Germany.
    3. 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.
    4. Sibbertsen, Philipp & Leschinski, Christian & Holzhausen, Marie, 2015. "A Multivariate Test Against Spurious Long Memory," Hannover Economic Papers (HEP) dp-547, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. 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.
    6. 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 Paper 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. 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).
    2. 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 for the Study of Labor (IZA).
    3. Anderson, D. Mark & Rees, Daniel I., 2012. "Per Se Drugged Driving Laws and Traffic Fatalities," IZA Discussion Papers 7048, Institute for the Study of Labor (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.
    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.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Rebecca J. Sela should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.