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Jonathan B. Hill

Personal Details

First Name:Jonathan
Middle Name:B.
Last Name:Hill
Suffix:
RePEc Short-ID:phi22
http://www.fiu.edu/~hilljona
Terminal Degree:2001 Department of Economics; University of Colorado (from RePEc Genealogy)

Affiliation

(in no particular order)

Department of Economics
Florida International University

Miami, Florida (United States)
http://economics.fiu.edu/

(305) 348-2316
(305) 348-1524
Miami, FL 33199
RePEc:edi:defiuus (more details at EDIRC)

Department of Economics
University of North Carolina-Chapel-Hill

Chapel Hill, North Carolina (United States)
http://www.unc.edu/depts/econ/

(919) 966-2383
(919) 966-4986
CB# 3305, Gardner Hall, Chapel Hill, NC 27599-3305
RePEc:edi:deuncus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Ghysels, Eric & Hill, Jonathan B. & Motegi, Kaiji, 2013. "Testing for Granger Causality with Mixed Frequency Data," CEPR Discussion Papers 9655, C.E.P.R. Discussion Papers.
  2. Jonathan B. Hill & Artyom Shneyerov, 2009. "Are There Common Values in BC Timber Sales? A Tail-Index Nonparametric Test," Working Papers 09003, Concordia University, Department of Economics.
  3. Jonathan B. Hill, 2005. "Causation Delays and Causal Neutralization up to Three Steps Ahead: The Money-Output Relationship Revisited," Econometrics 0503016, EconWPA, revised 23 Mar 2005.
  4. Jonathan B. Hill, 2005. "On Tail Index Estimation for Dependent, Heterogenous Data," Econometrics 0505005, EconWPA, revised 24 Mar 2006.
  5. Jonathan B. Hill, 2004. "Consistent Model Specification Tests Against Smooth Transition Alternatives," Econometrics 0402004, EconWPA, revised 05 Aug 2005.
  6. Jonathan B. Hill, 2004. "Consistent LM-Tests for Linearity Against Compound Smooth Transition Alternatives," Econometric Society 2004 North American Summer Meetings 42, Econometric Society.
  7. Jonathan B. Hill, 2004. "LM-Tests for Linearity Against Smooth Transition Alternatives: A Bootstrap Simulation Study," Econometrics 0401004, EconWPA, revised 05 Jul 2004.
  8. Jonathan B. Hill, 2004. "Strong Orthogonal Decompositions and Non-Linear Impulse Response Functions for Infinite Variance Processes," Econometrics 0401001, EconWPA, revised 16 Dec 2005.
  9. Jonathan B. Hill, 2004. "Efficient Tests of Long-Run Causation in Trivariate VAR Processes with a Rolling Window Study of the Money-Income Relationship," Macroeconomics 0407013, EconWPA, revised 15 Feb 2006.
  10. Jonathan B. Hill, 2004. "Gaussian Tests of "Extremal White Noise" for Dependent, Heterogeneous, Heavy Tailed Time Series with an Application," Econometrics 0411014, EconWPA, revised 04 Nov 2005.
  11. Jonathan B. Hill, 2004. "Causation Delays and Causal Neutralization for General Horizons: The Money-Output Relationship Revisited," Econometrics 0402002, EconWPA, revised 23 Mar 2005.
  12. Jonathan Hill, 1999. "Alpha-Stable Consistent Model Specification Tests for Heavy-Tailed Neural Networks Environments," Computing in Economics and Finance 1999 1041, Society for Computational Economics.

Articles

  1. Aguilar, Mike & Hill, Jonathan B., 2015. "Robust score and portmanteau tests of volatility spillover," Journal of Econometrics, Elsevier, vol. 184(1), pages 37-61.
  2. Jonathan Hill & Liang Peng, 2014. "Unified Interval Estimation For Random Coefficient Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(3), pages 282-297, May.
  3. Hill, Jonathan B. & Aguilar, Mike, 2013. "Moment condition tests for heavy tailed time series," Journal of Econometrics, Elsevier, vol. 172(2), pages 255-274.
  4. Hill, Jonathan B. & Shneyerov, Artyom, 2013. "Are there common values in first-price auctions? A tail-index nonparametric test," Journal of Econometrics, Elsevier, vol. 174(2), pages 144-164.
  5. Jonathan B. Hill, 2013. "Consistent GMM Residuals-Based Tests of Functional Form," Econometric Reviews, Taylor & Francis Journals, vol. 32(3), pages 361-383, November.
  6. Hill Jonathan B., 2013. "Stochastically weighted average conditional moment tests of functional form," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(2), pages 121-139, April.
  7. Jonathan B. Hill, 2013. "Least tail-trimmed squares for infinite variance autoregressions," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(2), pages 168-186, March.
  8. Jonathan Hill, 2012. "Dependence and stochastic limit theory (in Russian)," Quantile, Quantile, issue 10, pages 1-31, December.
  9. Nejat Anbarci & Jonathan Hill & Hasan Kirmanoglu, 2011. "Institutions and Growth Volatility," Economic Papers, The Economic Society of Australia, vol. 30(2), pages 233-252, June.
  10. Hill, Jonathan B., 2011. "Tail And Nontail Memory With Applications To Extreme Value And Robust Statistics," Econometric Theory, Cambridge University Press, vol. 27(04), pages 844-884, August.
  11. Hill, Jonathan B., 2010. "On Tail Index Estimation For Dependent, Heterogeneous Data," Econometric Theory, Cambridge University Press, vol. 26(05), pages 1398-1436, October.
  12. Jonathan B. Hill, 2007. "Efficient tests of long-run causation in trivariate VAR processes with a rolling window study of the money-income relationship," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 747-765.
  13. Carlos, Ann M. & Moyen, Nathalie & Hill, Jonathan, 2002. "Royal African Company Share Prices during the South Sea Bubble," Explorations in Economic History, Elsevier, vol. 39(1), pages 61-87, January.

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. Ghysels, Eric & Hill, Jonathan B. & Motegi, Kaiji, 2013. "Testing for Granger Causality with Mixed Frequency Data," CEPR Discussion Papers 9655, C.E.P.R. Discussion Papers.

    Cited by:

    1. Tomás del Barrio Castro & Alain Hecq, 2016. "Testing for Deterministic Seasonality in Mixed-Frequency VARs," DEA Working Papers 76, Universitat de les Illes Balears, Departament d'Economía Aplicada.
    2. Laurent Ferrara & Pierre Guérin, 2016. "What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks," Staff Working Papers 16-25, Bank of Canada.
    3. Götz, Thomas B. & Hecq, Alain & Smeekes, Stephan, 2015. "Testing for Granger causality in large mixed-frequency VARs," Discussion Papers 45/2015, Deutsche Bundesbank.
    4. Nikola Gradojevic & Camillo Lento, 2012. "Multiscale Analysis of Foreign Exchange Order Flows and Technical Trading Profitability," Working Paper series 31_12, Rimini Centre for Economic Analysis.
    5. Motegi, Kaiji & Sadahiro, Akira, 2018. "Sluggish private investment in Japan’s Lost Decade: Mixed frequency vector autoregression approach," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 118-128.

  2. Jonathan B. Hill & Artyom Shneyerov, 2009. "Are There Common Values in BC Timber Sales? A Tail-Index Nonparametric Test," Working Papers 09003, Concordia University, Department of Economics.

    Cited by:

    1. Hill, Jonathan B. & Aguilar, Mike, 2013. "Moment condition tests for heavy tailed time series," Journal of Econometrics, Elsevier, vol. 172(2), pages 255-274.

  3. Jonathan B. Hill, 2005. "Causation Delays and Causal Neutralization up to Three Steps Ahead: The Money-Output Relationship Revisited," Econometrics 0503016, EconWPA, revised 23 Mar 2005.

    Cited by:

    1. Salamaliki, Paraskevi K. & Venetis, Ioannis A., 2013. "Energy consumption and real GDP in G-7: Multi-horizon causality testing in the presence of capital stock," Energy Economics, Elsevier, vol. 39(C), pages 108-121.
    2. Paraskevi Salamaliki & Ioannis Venetis & Nicholas Giannakopoulos, 2013. "The causal relationship between female labor supply and fertility in the USA: updated evidence via a time series multi-horizon approach," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(1), pages 109-145, January.

  4. Jonathan B. Hill, 2005. "On Tail Index Estimation for Dependent, Heterogenous Data," Econometrics 0505005, EconWPA, revised 24 Mar 2006.

    Cited by:

    1. Rossi, Eduardo & Santucci de Magistris, Paolo, 2013. "Long memory and tail dependence in trading volume and volatility," Journal of Empirical Finance, Elsevier, vol. 22(C), pages 94-112.
    2. Iglesias, Emma M., 2015. "Value at Risk of the main stock market indexes in the European Union (2000–2012)," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 1-13.
    3. Bryan Kelly & Hao Jiang, 2013. "Tail Risk and Asset Prices," NBER Working Papers 19375, National Bureau of Economic Research, Inc.
    4. Hill, Jonathan B. & Aguilar, Mike, 2013. "Moment condition tests for heavy tailed time series," Journal of Econometrics, Elsevier, vol. 172(2), pages 255-274.
    5. Moosup Kim & Sangyeol Lee, 2016. "On the tail index inference for heavy-tailed GARCH-type innovations," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 68(2), pages 237-267, April.
    6. Iglesias, Emma M. & Linton, Oliver, 2009. "Estimation of tail thickness parameters from GJR-GARCH models," UC3M Working papers. Economics we094726, Universidad Carlos III de Madrid. Departamento de Economía.
    7. Hill, Jonathan B. & Prokhorov, Artem, 2016. "GEL estimation for heavy-tailed GARCH models with robust empirical likelihood inference," Journal of Econometrics, Elsevier, vol. 190(1), pages 18-45.
    8. Trapani, Lorenzo, 2016. "Testing for (in)finite moments," Journal of Econometrics, Elsevier, vol. 191(1), pages 57-68.
    9. Hill, Jonathan B. & Shneyerov, Artyom, 2013. "Are there common values in first-price auctions? A tail-index nonparametric test," Journal of Econometrics, Elsevier, vol. 174(2), pages 144-164.
    10. Jondeau, Eric, 2016. "Asymmetry in tail dependence in equity portfolios," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 351-368.
    11. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    12. Giovanni Caggiano & Efrem Castelnuovo, 2008. "Long Memory and Non-Linearities in International Inflation," "Marco Fanno" Working Papers 0076, Dipartimento di Scienze Economiche "Marco Fanno".
    13. Prono, Todd, 2016. "Closed-Form Estimation of Finite-Order ARCH Models: Asymptotic Theory and Finite-Sample Performance," Finance and Economics Discussion Series 2016-083, Board of Governors of the Federal Reserve System (U.S.), revised Jul 2017.
    14. Iglesias, Emma M., 2015. "Value at Risk and expected shortfall of firms in the main European Union stock market indexes: A detailed analysis by economic sectors and geographical situation," Economic Modelling, Elsevier, vol. 50(C), pages 1-8.
    15. João Nicolau & Paulo M.M. Rodrigues, 2015. "A New Regression-Based Tail Index Estimator: An Application to Exchange Rates," Working Papers w201514, Banco de Portugal, Economics and Research Department.
    16. Sio Chong U & Jacky So & Deng Ding & Lihong Liu, 2016. "An efficient Fourier expansion method for the calculation of value-at-risk: Contributions of extra-ordinary risks," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(01), pages 1-27, March.
    17. Catani, P.S. & Ahlgren, N.J.C., 2017. "Combined Lagrange multiplier test for ARCH in vector autoregressive models," Econometrics and Statistics, Elsevier, vol. 1(C), pages 62-84.
    18. Aguilar, Mike & Hill, Jonathan B., 2015. "Robust score and portmanteau tests of volatility spillover," Journal of Econometrics, Elsevier, vol. 184(1), pages 37-61.

  5. Jonathan B. Hill, 2004. "Strong Orthogonal Decompositions and Non-Linear Impulse Response Functions for Infinite Variance Processes," Econometrics 0401001, EconWPA, revised 16 Dec 2005.

    Cited by:

    1. Greg Hannsgen, 2011. "Infinite-variance, Alpha-stable Shocks in Monetary SVAR: Final Working Paper Version," Economics Working Paper Archive wp_682, Levy Economics Institute.

  6. Jonathan B. Hill, 2004. "Efficient Tests of Long-Run Causation in Trivariate VAR Processes with a Rolling Window Study of the Money-Income Relationship," Macroeconomics 0407013, EconWPA, revised 15 Feb 2006.

    Cited by:

    1. Balcilar, Mehmet & Bouri, Elie & Gupta, Rangan & Roubaud, David, 2017. "Can volume predict Bitcoin returns and volatility? A quantiles-based approach," Economic Modelling, Elsevier, vol. 64(C), pages 74-81.
    2. Al-Sadoon, Majid M., 2014. "Geometric and long run aspects of Granger causality," Journal of Econometrics, Elsevier, vol. 178(P3), pages 558-568.
    3. Al-Sadoon, M.M., 2009. "Causality Along Subspaces: Theory," Cambridge Working Papers in Economics 0919, Faculty of Economics, University of Cambridge.
    4. Erik Alencar de Figueiredo & Claudio Shikida & Ari Francisco Araújo Jr, 2013. "Monetary Policy, Output and Prices- Peláezs Contributions and a Sequential Multiple-horizon Non-causation Test for the period 1861-1970," Série Textos para Discussão (Working Papers) 20, Programa de Pós-Graduação em Economia - PPGE, Universidade Federal da Paraíba.
    5. Salamaliki, Paraskevi K. & Venetis, Ioannis A., 2013. "Energy consumption and real GDP in G-7: Multi-horizon causality testing in the presence of capital stock," Energy Economics, Elsevier, vol. 39(C), pages 108-121.
    6. Paraskevi Salamaliki & Ioannis Venetis & Nicholas Giannakopoulos, 2013. "The causal relationship between female labor supply and fertility in the USA: updated evidence via a time series multi-horizon approach," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(1), pages 109-145, January.
    7. Serhan Cevik & Katerina Teksoz, 2013. "Hitchhiker’s Guide to Inflation in Libya," IMF Working Papers 13/78, International Monetary Fund.
    8. Laih, Yih-Wenn, 2014. "Measuring rank correlation coefficients between financial time series: A GARCH-copula based sequence alignment algorithm," European Journal of Operational Research, Elsevier, vol. 232(2), pages 375-382.
    9. Jonathan B. Hill, 2005. "Causation Delays and Causal Neutralization up to Three Steps Ahead: The Money-Output Relationship Revisited," Econometrics 0503016, EconWPA, revised 23 Mar 2005.
    10. Ghysels, Eric & Hill, Jonathan B. & Motegi, Kaiji, 2013. "Testing for Granger Causality with Mixed Frequency Data," CEPR Discussion Papers 9655, C.E.P.R. Discussion Papers.
    11. Mounir Belloumi & Atef Saad Alshehry, 2015. "Sustainable Energy Development in Saudi Arabia," Sustainability, MDPI, Open Access Journal, vol. 7(5), pages 1-18, April.
    12. G. Bampinas & T. Panagiotidis, 2015. "On the relationship between oil and gold before and after financial crisis: Linear, nonlinear and time-varying causality testing," Working Paper series 15-04, Rimini Centre for Economic Analysis.
    13. Deborah Gefang, 2012. "Money‐output Causality Revisited – A Bayesian Logistic Smooth Transition VECM Perspective," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(1), pages 131-151, February.
    14. Amanjot SINGH & Parneet KAUR, 2015. "Stock Market Linkages: Evidence From the US, China and India During the Subprime Crisis," Timisoara Journal of Economics and Business, West University of Timisoara, Romania, Faculty of Economics and Business Administration, vol. 8(1), pages 137-162, June.
    15. Urmee Khan & Robert Lieli, 2016. "Information Flow Between Prediction Markets, Polls and Media: Evidence from the 2008 Presidential Primaries," Working Papers 201610, University of California at Riverside, Department of Economics.
    16. Ioanna Konstantakopoulou, 2017. "The aggregate exports-GDP relation under the prism of infrequent trend breaks and multi-horizon causality," International Economics and Economic Policy, Springer, vol. 14(4), pages 661-689, October.

  7. Jonathan B. Hill, 2004. "Gaussian Tests of "Extremal White Noise" for Dependent, Heterogeneous, Heavy Tailed Time Series with an Application," Econometrics 0411014, EconWPA, revised 04 Nov 2005.

    Cited by:

    1. Linton, O. & Whang, Yoon-Jae, 2007. "The quantilogram: With an application to evaluating directional predictability," Journal of Econometrics, Elsevier, vol. 141(1), pages 250-282, November.

Articles

  1. Aguilar, Mike & Hill, Jonathan B., 2015. "Robust score and portmanteau tests of volatility spillover," Journal of Econometrics, Elsevier, vol. 184(1), pages 37-61.

    Cited by:

    1. Hill, Jonathan B. & Prokhorov, Artem, 2016. "GEL estimation for heavy-tailed GARCH models with robust empirical likelihood inference," Journal of Econometrics, Elsevier, vol. 190(1), pages 18-45.
    2. Holger Fink & Yulia Klimova & Claudia Czado & Jakob Stöber, 2017. "Regime Switching Vine Copula Models for Global Equity and Volatility Indices," Econometrics, MDPI, Open Access Journal, vol. 5(1), pages 1-38, January.
    3. Afees A. Salisu & Taofeek O. Ayinde, 2018. "Testing for spillovers in Naira exchange rates: The role of electioneering& global financial crisis," Working Papers 050, Centre for Econometric and Allied Research, University of Ibadan.

  2. Jonathan Hill & Liang Peng, 2014. "Unified Interval Estimation For Random Coefficient Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 35(3), pages 282-297, May.

    Cited by:

    1. Horváth, Lajos & Trapani, Lorenzo, 2016. "Statistical inference in a random coefficient panel model," Journal of Econometrics, Elsevier, vol. 193(1), pages 54-75.
    2. Tao, Yubo & Phillips, Peter C.B. & Yu, Jun, 2017. "Random Coefficient Continuous Systems: Testing for Extreme Sample Path Behaviour," Economics and Statistics Working Papers 18-2017, Singapore Management University, School of Economics.

  3. Hill, Jonathan B. & Aguilar, Mike, 2013. "Moment condition tests for heavy tailed time series," Journal of Econometrics, Elsevier, vol. 172(2), pages 255-274.

    Cited by:

    1. Hill, Jonathan B. & Prokhorov, Artem, 2016. "GEL estimation for heavy-tailed GARCH models with robust empirical likelihood inference," Journal of Econometrics, Elsevier, vol. 190(1), pages 18-45.
    2. Camponovo, Lorenzo & Otsu, Taisuke, 2015. "Robustness of bootstrap in instrumental variable regression," LSE Research Online Documents on Economics 60185, London School of Economics and Political Science, LSE Library.
    3. Hill, Jonathan B., 2015. "Robust Generalized Empirical Likelihood for heavy tailed autoregressions with conditionally heteroscedastic errors," Journal of Multivariate Analysis, Elsevier, vol. 135(C), pages 131-152.
    4. Aguilar, Mike & Hill, Jonathan B., 2015. "Robust score and portmanteau tests of volatility spillover," Journal of Econometrics, Elsevier, vol. 184(1), pages 37-61.

  4. Hill, Jonathan B. & Shneyerov, Artyom, 2013. "Are there common values in first-price auctions? A tail-index nonparametric test," Journal of Econometrics, Elsevier, vol. 174(2), pages 144-164.

    Cited by:

    1. Ma, Jun & Marmer, Vadim & Shneyerov, Artyom, 2016. "Inference for First-Price Auctions with Guerre, Perrigne, and Vuong's estimator," Microeconomics.ca working papers vadim_marmer-2016-4, Vancouver School of Economics, revised 17 Mar 2018.

  5. Jonathan B. Hill, 2013. "Least tail-trimmed squares for infinite variance autoregressions," Journal of Time Series Analysis, Wiley Blackwell, vol. 34(2), pages 168-186, March.

    Cited by:

    1. Hill, Jonathan B. & Prokhorov, Artem, 2016. "GEL estimation for heavy-tailed GARCH models with robust empirical likelihood inference," Journal of Econometrics, Elsevier, vol. 190(1), pages 18-45.
    2. Camponovo, Lorenzo & Otsu, Taisuke, 2015. "Robustness of bootstrap in instrumental variable regression," LSE Research Online Documents on Economics 60185, London School of Economics and Political Science, LSE Library.
    3. Maarten van Oordt & Chen Zhou, 2016. "Estimating Systematic Risk Under Extremely Adverse Market Conditions," Staff Working Papers 16-22, Bank of Canada.
    4. Hill, Jonathan B., 2015. "Robust Generalized Empirical Likelihood for heavy tailed autoregressions with conditionally heteroscedastic errors," Journal of Multivariate Analysis, Elsevier, vol. 135(C), pages 131-152.
    5. Aguilar, Mike & Hill, Jonathan B., 2015. "Robust score and portmanteau tests of volatility spillover," Journal of Econometrics, Elsevier, vol. 184(1), pages 37-61.

  6. Nejat Anbarci & Jonathan Hill & Hasan Kirmanoglu, 2011. "Institutions and Growth Volatility," Economic Papers, The Economic Society of Australia, vol. 30(2), pages 233-252, June.

    Cited by:

    1. Vincent GERONIMI & Natalia ZUGRAVU-SOILITA & Christine LE GARGASSON & Jessy TSANG KING SANG, 2015. "Le Tourisme Comme Facteur De Vulnérabilités ? Le Rôle Des Patrimoines Insulaires," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 42, pages 189-214.
    2. Marc Sangnier, 2009. "Does trust favor macroeconomic stability?," PSE Working Papers halshs-00575021, HAL.
    3. Natalia Zugravu-Soilita & Vincent Geronimi & Christine Le Gargasson & Jessy Tsang King Sang, 2017. "Towards a less vulnerable and more sustainable development: heritage tourism in island economies," Working Papers 2017.11, FAERE - French Association of Environmental and Resource Economists.

  7. Hill, Jonathan B., 2011. "Tail And Nontail Memory With Applications To Extreme Value And Robust Statistics," Econometric Theory, Cambridge University Press, vol. 27(04), pages 844-884, August.

    Cited by:

    1. Hill, Jonathan B. & Aguilar, Mike, 2013. "Moment condition tests for heavy tailed time series," Journal of Econometrics, Elsevier, vol. 172(2), pages 255-274.
    2. Hill, Jonathan B. & Prokhorov, Artem, 2016. "GEL estimation for heavy-tailed GARCH models with robust empirical likelihood inference," Journal of Econometrics, Elsevier, vol. 190(1), pages 18-45.
    3. Hill, Jonathan B. & Shneyerov, Artyom, 2013. "Are there common values in first-price auctions? A tail-index nonparametric test," Journal of Econometrics, Elsevier, vol. 174(2), pages 144-164.
    4. Tim Bollerslev & Viktor Todorov, 2010. "Jump Tails, Extreme Dependencies, and the Distribution of Stock Returns," CREATES Research Papers 2010-64, Department of Economics and Business Economics, Aarhus University.
    5. Yves Dominicy & Pauliina Ilmonen & David Veredas, 2017. "Multivariate Hill Estimators," International Statistical Review, International Statistical Institute, vol. 85(1), pages 108-142, April.
    6. Ilić, Ivana, 2012. "On tail index estimation using a sample with missing observations," Statistics & Probability Letters, Elsevier, vol. 82(5), pages 949-958.

  8. Hill, Jonathan B., 2010. "On Tail Index Estimation For Dependent, Heterogeneous Data," Econometric Theory, Cambridge University Press, vol. 26(05), pages 1398-1436, October.
    See citations under working paper version above.
  9. Jonathan B. Hill, 2007. "Efficient tests of long-run causation in trivariate VAR processes with a rolling window study of the money-income relationship," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(4), pages 747-765. See citations under working paper version above.
  10. Carlos, Ann M. & Moyen, Nathalie & Hill, Jonathan, 2002. "Royal African Company Share Prices during the South Sea Bubble," Explorations in Economic History, Elsevier, vol. 39(1), pages 61-87, January.

    Cited by:

    1. Turner, John D., 2014. "Financial history and financial economics," QUCEH Working Paper Series 14-03, Queen's University Belfast, Queen's University Centre for Economic History.
    2. Rik P. & William Goetzmann & K. Rouwenhorst, 2009. "New Evidence on the First Financial Bubble," Yale School of Management Working Papers amz2542, Yale School of Management, revised 01 Nov 2009.
    3. Gary S. Shea, 2011. "(Re)financing the Slave Trade with the Royal African Company in the Boom Markets of 1720," CDMA Working Paper Series 201114, Centre for Dynamic Macroeconomic Analysis.
    4. Campbell, Gareth & Turner, John, 2010. "‘The Greatest Bubble in History’: Stock Prices during the British Railway Mania," MPRA Paper 21820, University Library of Munich, Germany.
    5. Yang Hu & Les Oxley, 2017. "Exuberance in Historical Stock Prices during the Mississippi and South Seas Bubble Episodes," Working Papers in Economics 17/08, University of Waikato.
    6. Gary S. Shea, 2007. "Arbitrage and Simple Financial Market Efficiency during the South Sea Bubble: A Comparative Study of the Royal African and South Sea Companies Subscription Share Issues," CDMA Working Paper Series 200716, Centre for Dynamic Macroeconomic Analysis.
    7. Ann M. Carlos & Erin Fletcher & Larry Neal, 2012. "Share Portfolios and Risk Management in the Early Years of Financial Capitalism: London 1690-1730," CEH Discussion Papers 006, Centre for Economic History, Research School of Economics, Australian National University.
    8. Hu, Yang & Oxley, Les, 2018. "Do 18th century ‘bubbles’ survive the scrutiny of 21st century time series econometrics?," Economics Letters, Elsevier, vol. 162(C), pages 131-134.

More information

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Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 11 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (8) 2004-01-25 2004-02-08 2004-07-18 2004-10-30 2004-11-22 2005-04-16 2005-05-23 2014-06-02. Author is listed
  2. NEP-ETS: Econometric Time Series (8) 1999-07-12 2004-02-08 2004-02-08 2004-07-11 2004-07-18 2004-10-30 2004-11-22 2014-06-02. Author is listed
  3. NEP-MON: Monetary Economics (2) 2004-07-18 2005-04-16
  4. NEP-CMP: Computational Economics (1) 2004-07-11
  5. NEP-FIN: Finance (1) 2004-11-22
  6. NEP-RMG: Risk Management (1) 2004-02-08

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