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Emma M. Iglesias

Personal Details

First Name:Emma
Middle Name:M.
Last Name:Iglesias
Suffix:
RePEc Short-ID:pig10
http://www.gcd.udc.es/emma

Affiliation

Facultade de Economía e Empresa
Universidade da Coruña

A Coruña, Spain
http://www.economicas.udc.es/

: +34 981 16 70 00
+34 981 16 70 70

RePEc:edi:fcudces (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Maixé-Altés, J. Carles & Iglesias, Emma M., 2015. "Banking, Currency, Stock Market and Debt Crises: Revisiting Reinhart & Rogoff Debt Analysis in Spain, 1850-1995," MPRA Paper 68199, University Library of Munich, Germany.
  2. Iglesias, Emma M. & Phillips, Garry D.A., 2011. "Almost Unbiased Estimation in Simultaneous Equations Models with Strong and / or Weak Instruments," Cardiff Economics Working Papers E2011/19, Cardiff University, Cardiff Business School, Economics Section.
  3. Christian M. Dahl & Emma M. Iglesias, 2010. "Asymptotic normality of the QMLE in the level-effect ARCH model," CREATES Research Papers 2010-48, Department of Economics and Business Economics, Aarhus University.
  4. Christian M. Dahl & Emma M. Iglesias, 2009. "Modelling the Volatility-Return Trade-off when Volatility may be Nonstationary," CREATES Research Papers 2009-59, Department of Economics and Business Economics, Aarhus University.
  5. 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.
  6. Bent Jesper Christensen & Christian M. Dahl & Emma M. Iglesias, 2008. "Semiparametric Inference in a GARCH-in-Mean Model," CREATES Research Papers 2008-46, Department of Economics and Business Economics, Aarhus University.
  7. Christian M. Dahl & Emma M. Iglesias, 2008. "The limiting properties of the QMLE in a general class of asymmetric volatility models," CREATES Research Papers 2008-38, Department of Economics and Business Economics, Aarhus University.
  8. Bunzel, Helle & Iglesias, Emma M., 2008. "Extending the Use of the Block-Block Bootstrap to AR(∞) Processes," Staff General Research Papers Archive 12965, Iowa State University, Department of Economics.
  9. Bunzel, Helle & Iglesias, Emma M., 2006. "Testing for Breaks Using Alternating Observations," Staff General Research Papers Archive 12694, Iowa State University, Department of Economics.
  10. Garry Phillips & Emma Iglesias, 2004. "The estimation of simultaneous equation models under conditional heteroscedasticity," Econometric Society 2004 Latin American Meetings 91, Econometric Society.
  11. Emma M. Iglesias & Garry D.A. Phillips, 2004. "Multivariate Arch Models: Finite Sample Properties Of Ml Estimators And An Application To An Lm-Type Test," Working Papers. Serie AD 2004-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  12. Garry Phillips & Emma Iglesias, 2004. "Simultaneous Equations and Weak Instruments under Conditionally Heteroscedastic Disturbances," Econometric Society 2004 Far Eastern Meetings 567, Econometric Society.
  13. Emma Iglesias & Jean Marie Dufour, 2004. "Finite Sample and Optimal Inference in Possibly Nonstationary ARCH Models with Gaussian and Heavy-Tailed Errors," Econometric Society 2004 North American Summer Meetings 161, Econometric Society.

Articles

  1. Andre Yone Haughton & Emma M. Iglesias, 2017. "Exchange Rate Movements, Stock Prices and Volatility in the Caribbean and Latin America," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 437-447.
  2. Luis Felipe Brito-Gaona & Emma M. Iglesias, 2017. "Inversión privada, gasto público y presión tributaria en América Latina," Estudios de Economia, University of Chile, Department of Economics, vol. 44(2 Year 20), pages 131-156, December.
  3. Iglesias Emma M. & Phillips Garry D. A., 2017. "The use of bias correction versus the Jackknife when testing the mean reversion and long term mean parameters in continuous time models," Monte Carlo Methods and Applications, De Gruyter, vol. 23(3), pages 159-164, September.
  4. 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.
  5. 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.
  6. Iglesias, Emma M., 2014. "Testing of the mean reversion parameter in continuous time models," Economics Letters, Elsevier, vol. 122(2), pages 187-189.
  7. Emma M. Iglesias & Andre Yone Haughton, 2013. "Interaction between monetary policy and stock prices: a comparison between the Caribbean and the US," Applied Financial Economics, Taylor & Francis Journals, vol. 23(6), pages 515-534, March.
  8. Wang, Honglin & Iglesias, Emma M. & Wooldridge, Jeffrey M., 2013. "Partial maximum likelihood estimation of spatial probit models," Journal of Econometrics, Elsevier, vol. 172(1), pages 77-89.
  9. Emma M. Iglesias & J. Atilano Pena López & José Manuel Sánchez Sántos, 2013. "Evolution over time of the determinants of preferences for redistribution and the support for the welfare state," Applied Economics, Taylor & Francis Journals, vol. 45(30), pages 4260-4274, October.
  10. Josep Lluís Carrion-i-Silvestre & Emma M. Iglesias, 2013. "Editorial," Applied Economics, Taylor & Francis Journals, vol. 45(30), pages 4203-4203, October.
  11. Miguel A. Tovar and Emma M. Iglesias, 2013. "Capital-Energy Relationships: An Analysis when Disaggregating by Industry and Different Types of Capital," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  12. Andre Yone Haughton & Emma M. Iglesias, 2013. "Assessing Long‐Run Money Neutrality In Monetary Unions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 18(1), pages 25-50, January.
  13. Emma M. Iglesias & Garry D. A. Phillips, 2012. "Estimation, Testing, and Finite Sample Properties of Quasi-Maximum Likelihood Estimators in GARCH-M Models," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 532-557, September.
  14. Emma M. Iglesias & Garry D. A. Phillips, 2012. "Improved instrumental variables estimation of simultaneous equations under conditionally heteroskedastic disturbances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 474-499, April.
  15. Adanu, Kwami & Hoehn, John P. & Norris, Patricia & Iglesias, Emma, 2012. "Voter decisions on eminent domain and police power reforms," Journal of Housing Economics, Elsevier, vol. 21(2), pages 187-194.
  16. Haughton, Andre Yone & Iglesias, Emma M., 2012. "Interest rate volatility, asymmetric interest rate pass through and the monetary transmission mechanism in the Caribbean compared to US and Asia," Economic Modelling, Elsevier, vol. 29(6), pages 2071-2089.
  17. Emma M. Iglesias, 2012. "An analysis of extreme movements of exchange rates of the main currencies traded in the Foreign Exchange market," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4631-4637, December.
  18. Emma M. Iglesias & María Dolores Lagoa Varela, 2012. "Extreme movements of the main stocks traded in the Eurozone: an analysis by sectors in the 2000's decade," Applied Financial Economics, Taylor & Francis Journals, vol. 22(24), pages 2085-2100, December.
  19. Emma M. Iglesias & Garry D. A. Phillips, 2012. "Almost Unbiased Estimation in Simultaneous Equation Models With Strong and/or Weak Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 505-520, June.
  20. Christensen, Bent Jesper & Dahl, Christian M. & Iglesias, Emma M., 2012. "Semiparametric inference in a GARCH-in-mean model," Journal of Econometrics, Elsevier, vol. 167(2), pages 458-472.
  21. Iglesias Emma M., 2011. "Constrained k-class Estimators in the Presence of Weak Instruments," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-13, September.
  22. Emma Iglesias & Emma Iglesias, 2011. "XV Applied Economics Meeting," Economics Bulletin, AccessEcon, vol. 31(4), pages 1-52.
  23. Emma Iglesias & Garry Phillips, 2011. "Small Sample Estimation Bias in GARCH Models with Any Number of Exogenous Variables in the Mean Equation," Econometric Reviews, Taylor & Francis Journals, vol. 30(3), pages 303-336.
  24. Dahl Christian M & Iglesias Emma, 2011. "Modeling the Volatility-Return Trade-Off When Volatility May Be Nonstationary," Journal of Time Series Econometrics, De Gruyter, vol. 3(1), pages 1-32, February.
  25. Iglesias Emma M, 2010. "First and Second Order Asymptotic Bias Correction of Nonlinear Estimators in a Non-Parametric Setting and an Application to the Smoothed Maximum Score Estimator," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-30, May.
  26. Iglesias, Emma M. & Phillips, Garry D.A., 2010. "The bias to order T-Â 2 for the general k-class estimator in a simultaneous equation model," Economics Letters, Elsevier, vol. 109(1), pages 42-45, October.
  27. Iglesias Emma M, 2009. "Finite Sample Theory of QMLEs in ARCH Models with an Exogenous Variable in the Conditional Variance Equation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(2), pages 1-30, May.
  28. Dahl, Christian M. & Iglesias, Emma M., 2009. "Volatility spill-overs in commodity spot prices: New empirical results," Economic Modelling, Elsevier, vol. 26(3), pages 601-607, May.
  29. Maixé-Altés, J. Carles & Iglesias, Emma M., 2009. "Domestic monetary transfers and the inland bill of exchange markets in Spain (1775-1885)," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 496-521, April.
  30. Emma M. Iglesias & Garry D. A. Phillips, 2008. "Finite Sample Theory of QMLE in ARCH Models with Dynamics in the Mean Equation," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(4), pages 719-737, July.
  31. Corradi, Valentina & Iglesias, Emma M., 2008. "Bootstrap refinements for QML estimators of the GARCH(1,1) parameters," Journal of Econometrics, Elsevier, vol. 144(2), pages 500-510, June.
  32. Iglesias, Emma M. & Phillips, Garry D.A., 2008. "Asymptotic bias of GMM and GEL under possible nonstationary spatial dependence," Economics Letters, Elsevier, vol. 99(2), pages 393-397, May.
  33. Iglesias, Emma M. & Linton, Oliver B., 2007. "Higher Order Asymptotic Theory When A Parameter Is On A Boundary With An Application To Garch Models," Econometric Theory, Cambridge University Press, vol. 23(06), pages 1136-1161, December.
  34. Iglesias, Emma M., 2006. "Higher-order asymptotic properties of QML in [beta]-ARCH and [mu]-ARCH models," Economics Letters, Elsevier, vol. 93(2), pages 261-266, November.
  35. Iglesias, Emma M. & Phillips, Garry D.A., 2005. "Bivariate Arch Models: Finite-Sample Properties Of Qml Estimators And An Application To An Lm-Type Test," Econometric Theory, Cambridge University Press, vol. 21(06), pages 1058-1086, December.
  36. Emma Iglesias & Garry Phillips, 2005. "Analysing one-month Euro-market interest rates by fractionally integrated models," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 95-106.
  37. Iglesias, Emma M. & Phillips, Garry D. A., 2003. "Another look about the evolution of the risk premium: a VAR-GARCH-M model," Economic Modelling, Elsevier, vol. 20(4), pages 777-789, July.
  38. Iglesias Vázquez, E.M. & Arranz Pérez, M., 2001. "Análisis de las relaciones entre el tipo de interés a corto plazo y su incertidumbre en Alemania, España y Suiza," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 19, pages 37-47, Diciembre.
  39. Iglesias, Emma M. & Phillips, Garry D. A., 2001. "Reconsidering the gains in efficiency from ML estimation versus OLS in ARCH models," Economics Letters, Elsevier, vol. 74(1), pages 21-24, December.

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. Iglesias, Emma M. & Phillips, Garry D.A., 2011. "Almost Unbiased Estimation in Simultaneous Equations Models with Strong and / or Weak Instruments," Cardiff Economics Working Papers E2011/19, Cardiff University, Cardiff Business School, Economics Section.

    Cited by:

    1. Phillips, Garry D.A. & Liu-Evans, Gareth, 2011. "The Robustness of the Higher-Order 2SLS and General k-Class Bias Approximations to Non-Normal Disturbances," Cardiff Economics Working Papers E2011/20, Cardiff University, Cardiff Business School, Economics Section.

  2. 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.

    Cited by:

    1. 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.
    2. Emma M. Iglesias, 2012. "An analysis of extreme movements of exchange rates of the main currencies traded in the Foreign Exchange market," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4631-4637, December.
    3. 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.
    4. Stavros Degiannakis & Christos Floros & Alexandra Livada, 2012. "Evaluating value-at-risk models before and after the financial crisis of 2008: International evidence," Managerial Finance, Emerald Group Publishing, vol. 38(4), pages 436-452, March.
    5. Emma M. Iglesias & María Dolores Lagoa Varela, 2012. "Extreme movements of the main stocks traded in the Eurozone: an analysis by sectors in the 2000's decade," Applied Financial Economics, Taylor & Francis Journals, vol. 22(24), pages 2085-2100, December.
    6. Beran, Jan & Schell, Dieter, 2012. "On robust tail index estimation," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3430-3443.

  3. Bent Jesper Christensen & Christian M. Dahl & Emma M. Iglesias, 2008. "Semiparametric Inference in a GARCH-in-Mean Model," CREATES Research Papers 2008-46, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. Meister, Alexander & Kreiß, Jens-Peter, 2016. "Statistical inference for nonparametric GARCH models," Stochastic Processes and their Applications, Elsevier, vol. 126(10), pages 3009-3040.
    2. Conrad, Christian & Mammen , Enno, 2015. "Asymptotics for parametric GARCH-in-Mean Models," Working Papers 0579, University of Heidelberg, Department of Economics.
    3. Christian Conrad & Enno Mammen, 2008. "Nonparametric Regression on Latent Covariates with an Application to Semiparametric GARCH-in-Mean Models," Working Papers 0473, University of Heidelberg, Department of Economics, revised Jul 2008.
    4. Dias, Gustavo Fruet, 2017. "The time-varying GARCH-in-mean model," Economics Letters, Elsevier, vol. 157(C), pages 129-132.
    5. 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.
    6. Frazier, David T. & Liu, Xiaochun, 2016. "A new approach to risk-return trade-off dynamics via decomposition," Journal of Economic Dynamics and Control, Elsevier, vol. 62(C), pages 43-55.
    7. Zhou, Jian, 2016. "A high-frequency analysis of the interactions between REIT return and volatility," Economic Modelling, Elsevier, vol. 56(C), pages 102-108.
    8. Andrew Harvey & Rutger-Jan Lange, 2015. "Modeling the Interactions between Volatility and Returns," Cambridge Working Papers in Economics 1518, Faculty of Economics, University of Cambridge.
    9. Farooq Malik, 2015. "Revisiting the relationship between risk and return," Review of Quantitative Finance and Accounting, Springer, vol. 44(1), pages 25-40, January.

  4. Christian M. Dahl & Emma M. Iglesias, 2008. "The limiting properties of the QMLE in a general class of asymmetric volatility models," CREATES Research Papers 2008-38, Department of Economics and Business Economics, Aarhus University.

    Cited by:

    1. A. B. M. Rabiul Alam Beg & Sajid Anwar, 2014. "Detecting volatility persistence in GARCH models in the presence of the leverage effect," Quantitative Finance, Taylor & Francis Journals, vol. 14(12), pages 2205-2213, December.
    2. Sucarrat, Genaro & Escribano, Álvaro, 2010. "The power log-GARCH model," UC3M Working papers. Economics we1013, Universidad Carlos III de Madrid. Departamento de Economía.
    3. Sucarrat, Genaro & Escribano, Álvaro, 2009. "Automated financial multi-path GETS modelling," UC3M Working papers. Economics we093620, Universidad Carlos III de Madrid. Departamento de Economía.

  5. Bunzel, Helle & Iglesias, Emma M., 2006. "Testing for Breaks Using Alternating Observations," Staff General Research Papers Archive 12694, Iowa State University, Department of Economics.

    Cited by:

    1. Attfield, Cliff & Temple, Jonathan R.W., 2010. "Balanced growth and the great ratios: New evidence for the US and UK," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 937-956, December.

  6. Garry Phillips & Emma Iglesias, 2004. "Simultaneous Equations and Weak Instruments under Conditionally Heteroscedastic Disturbances," Econometric Society 2004 Far Eastern Meetings 567, Econometric Society.

    Cited by:

    1. Todd, Prono, 2009. "Market Proxies, Correlation, and Relative Mean-Variance Efficiency: Still Living with the Roll Critique," MPRA Paper 20031, University Library of Munich, Germany.
    2. Todd, Prono, 2009. "GARCH-Based Identification and Estimation of Triangular Systems," MPRA Paper 20032, University Library of Munich, Germany.

  7. Emma Iglesias & Jean Marie Dufour, 2004. "Finite Sample and Optimal Inference in Possibly Nonstationary ARCH Models with Gaussian and Heavy-Tailed Errors," Econometric Society 2004 North American Summer Meetings 161, Econometric Society.

    Cited by:

    1. Dufour, Jean-Marie & Taamouti, Abderrahim, 2010. "Exact optimal inference in regression models under heteroskedasticity and non-normality of unknown form," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2532-2553, November.
    2. Maxwell L. King & Sivagowry Sriananthakumar, 2015. "Point Optimal Testing: A Survey of the Post 1987 Literature," Monash Econometrics and Business Statistics Working Papers 5/15, Monash University, Department of Econometrics and Business Statistics.

Articles

  1. 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.

    Cited by:

    1. Ormos, Mihály & Timotity, Dusán, 2016. "Generalized asset pricing: Expected Downside Risk-based equilibrium modeling," Economic Modelling, Elsevier, vol. 52(PB), pages 967-980.
    2. Kao, Lie-Jane, 2015. "A portfolio-invariant capital allocation scheme penalizing concentration risk," Economic Modelling, Elsevier, vol. 51(C), pages 560-570.
    3. Reddy, Krishna & Mirza, Nawazish & Naqvi, Bushra & Fu, Mingli, 2017. "Comparative risk adjusted performance of Islamic, socially responsible and conventional funds: Evidence from United Kingdom," Economic Modelling, Elsevier, vol. 66(C), pages 233-243.

  2. Emma M. Iglesias & Andre Yone Haughton, 2013. "Interaction between monetary policy and stock prices: a comparison between the Caribbean and the US," Applied Financial Economics, Taylor & Francis Journals, vol. 23(6), pages 515-534, March.

    Cited by:

    1. Goodness C. Aye & Mehmet Balcilar & Rangan Gupta & Charl Jooste & Stephen M. Miller & Zeynel Abidin Ozdemir, 2012. "Fiscal Policy Shocks and the Dynamics of Asset Prices: The South African Experience," Working Papers 1211, University of Nevada, Las Vegas , Department of Economics.
    2. Rashid Sbia & Rashid Sbia & Helmi Hamdi & Bedri Kamil Onur Tas & Sahel Al Rousan, 2016. "Gulf Cooperation Council Stock Returns and the Effect of Domestic Monetary Policy Shocks," International Journal of Economics and Financial Issues, Econjournals, vol. 6(2), pages 629-639.
    3. Goodness C. Aye & Rangan Gupta & Mampho P. Modise, 2012. "Do Stock Prices Impact Consumption and Interest Rate in South Africa? Evidence from a Time-Varying Vector Autoregressive Model," Working Papers 201224, University of Pretoria, Department of Economics.
    4. Betül Çal, 2015. "Reconciliation of Expectancy-Valence and Expectation-Disconfirmation Paradigms in Investment Decisions: Case of Turkish Equity Investors," International Journal of Business and Social Research, MIR Center for Socio-Economic Research, vol. 5(1), pages 15-32, January.

  3. Wang, Honglin & Iglesias, Emma M. & Wooldridge, Jeffrey M., 2013. "Partial maximum likelihood estimation of spatial probit models," Journal of Econometrics, Elsevier, vol. 172(1), pages 77-89.

    Cited by:

    1. Luís Silveira Santos & Isabel Proença, 2017. "The Inversion of the Spatial Lag Operator in Binary Choice Models: Fast Computation and a Closed Formula Approximation," Working Papers REM 2017/11, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    2. Jean-François Richard, 2015. "Likelihood Evaluation of High-Dimensional Spatial Latent Gaussian Models with Non-Gaussian Response Variables," Working Paper 5778, Department of Economics, University of Pittsburgh.
    3. Belotti, Federico & Ilardi, Giuseppe, 2018. "Consistent inference in fixed-effects stochastic frontier models," Journal of Econometrics, Elsevier, vol. 202(2), pages 161-177.
    4. Federico Belotti & Giuseppe Ilardi, 2012. "Consistent Estimation of the “True” Fixed-effects Stochastic Frontier Model," CEIS Research Paper 231, Tor Vergata University, CEIS, revised 18 Apr 2012.
    5. T. Arduini, 2016. "Distribution Free Estimation of Spatial Autoregressive Binary Choice Panel Data Models," Working Papers wp1052, Dipartimento Scienze Economiche, Universita' di Bologna.
    6. Arbia, Giuseppe, 2016. "Spatial Econometrics: A Broad View," Foundations and Trends(R) in Econometrics, now publishers, vol. 8(3-4), pages 145-265, November.
    7. Anna Gloria Billé, 2013. "Computational Issues in the Estimation of the Spatial Probit Model: A Comparison of Various Estimators," The Review of Regional Studies, Southern Regional Science Association, vol. 43(2,3), pages 131-154, Winter.
    8. Mozharovskyi, Pavlo & Vogler, Jan, 2016. "Composite marginal likelihood estimation of spatial autoregressive probit models feasible in very large samples," Economics Letters, Elsevier, vol. 148(C), pages 87-90.
    9. Bhat, Chandra R. & Pinjari, Abdul R. & Dubey, Subodh K. & Hamdi, Amin S., 2016. "On accommodating spatial interactions in a Generalized Heterogeneous Data Model (GHDM) of mixed types of dependent variables," Transportation Research Part B: Methodological, Elsevier, vol. 94(C), pages 240-263.
    10. Chandan Singha, 2017. "Analyzing Adoption of soil Conservation Measures by Farmers in Darjeeling District, India," Working Papers id:12204, eSocialSciences.
    11. Badi H. Baltagi & Peter H. Egger & Michaela Kesina, 2017. "Determinants of Firm-Level Domestic Sales and Exports with Spillovers: Evidence from China," Center for Policy Research Working Papers 209, Center for Policy Research, Maxwell School, Syracuse University.
    12. Dogan, Osman & Taspinar, Suleyman, 2016. "Bayesian Inference in Spatial Sample Selection Models," MPRA Paper 82829, University Library of Munich, Germany.
    13. Yang, Chao & Lee, Lung-fei, 2017. "Social interactions under incomplete information with heterogeneous expectations," Journal of Econometrics, Elsevier, vol. 198(1), pages 65-83.
    14. Martinetti, Davide & Geniaux, Ghislain, 2017. "Approximate likelihood estimation of spatial probit models," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 30-45.
    15. Chandra Bhat, 2015. "A new spatial (social) interaction discrete choice model accommodating for unobserved effects due to endogenous network formation," Transportation, Springer, vol. 42(5), pages 879-914, September.
    16. Lei, J., 2014. "Essays on nonlinear panel data models," Other publications TiSEM 302d1ae7-0310-43b0-b253-6, Tilburg University, School of Economics and Management.

  4. Emma M. Iglesias & J. Atilano Pena López & José Manuel Sánchez Sántos, 2013. "Evolution over time of the determinants of preferences for redistribution and the support for the welfare state," Applied Economics, Taylor & Francis Journals, vol. 45(30), pages 4260-4274, October.

    Cited by:

    1. Ada Ferrer-i-carbonell & X. Ramos & M. Oviedo, 2013. "GINI Country Report: Growing Inequalities and their Impacts in Spain," GINI Country Reports spain, AIAS, Amsterdam Institute for Advanced Labour Studies.

  5. Miguel A. Tovar and Emma M. Iglesias, 2013. "Capital-Energy Relationships: An Analysis when Disaggregating by Industry and Different Types of Capital," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).

    Cited by:

    1. Stefanie Haller & Marie Hyland, 2014. "Capital-Energy Substitution: Evidence from a Panel of Irish Manufacturing Firms," Open Access publications 10197/8608, School of Economics, University College Dublin.
    2. Suh, Dong Hee, 2015. "Identifying Factor Substitution and Energy Intensity in the U.S. Agricultural Sector," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205264, Agricultural and Applied Economics Association;Western Agricultural Economics Association.
    3. Dong Hee Suh, 2015. "Declining Energy Intensity in the U.S. Agricultural Sector: Implications for Factor Substitution and Technological Change," Sustainability, MDPI, Open Access Journal, vol. 7(10), pages 1-14, September.
    4. Sebastian M. Deininger & Lukas Mohler & Daniel Mueller, 2018. "Factor substitution in Swiss manufacturing: empirical evidence using micro panel data," Swiss Journal of Economics and Statistics, Springer;Swiss Society of Economics and Statistics, vol. 154(1), pages 1-15, December.
    5. Bardazzi, Rossella & Oropallo, Filippo & Pazienza, Maria Grazia, 2015. "Do manufacturing firms react to energy prices? Evidence from Italy," Energy Economics, Elsevier, vol. 49(C), pages 168-181.
    6. Valeria Costantini & Francesco Crespi & Elena Paglialunga, 2018. "Capital-energy substitutability in manufacturing sectors: methodological and policy implications," Departmental Working Papers of Economics - University 'Roma Tre' 0234, Department of Economics - University Roma Tre.
    7. Valeria Costantini & Elena Paglialunga, 2014. "Elasticity of substitution in capital-energy relationships: how central is a sector-based panel estimation approach?," SEEDS Working Papers 1314, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised May 2014.
    8. Rodríguez, Miguel & Pena-Boquete, Yolanda, 2017. "Carbon intensity changes in the Asian Dragons. Lessons for climate policy design," Energy Economics, Elsevier, vol. 66(C), pages 17-26.
    9. Bataille, Chris & Melton, Noel, 2017. "Energy efficiency and economic growth: A retrospective CGE analysis for Canada from 2002 to 2012," Energy Economics, Elsevier, vol. 64(C), pages 118-130.

  6. Emma M. Iglesias & Garry D. A. Phillips, 2012. "Estimation, Testing, and Finite Sample Properties of Quasi-Maximum Likelihood Estimators in GARCH-M Models," Econometric Reviews, Taylor & Francis Journals, vol. 31(5), pages 532-557, September.

    Cited by:

    1. Stelios Arvanitis & Antonis Demos, "undated". "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.
    2. Antonis Demos & Dimitra Kyriakopoulou, 2018. "Finite Sample Theory and Bias Correction of Maximum Likelihood Estimators in the EGARCH Model," DEOS Working Papers 1802, Athens University of Economics and Business.

  7. Emma M. Iglesias & Garry D. A. Phillips, 2012. "Improved instrumental variables estimation of simultaneous equations under conditionally heteroskedastic disturbances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(3), pages 474-499, April.

    Cited by:

    1. Juan José Echavarría & Luis Fernando Melo Velandia & Santiago Téllez & Mauricio Villamizar, 2013. "The Impact of Pre-announced Day-to-day Interventions on the Colombian Exchange Rate," BORRADORES DE ECONOMIA 010767, BANCO DE LA REPÚBLICA.
    2. Hartwell, Christopher A., 2016. "The institutional basis of efficiency in resource-rich countries," Economic Systems, Elsevier, vol. 40(4), pages 519-538.
    3. Jan F. KIVIET & Qu FENG, 2014. "Efficiency Gains by Modifying GMM Estimation in Linear Models under Heteroskedasticity," Economic Growth Centre Working Paper Series 1413, Nanyang Technological University, School of Social Sciences, Economic Growth Centre.
    4. Liu, Xiaochun, 2017. "Unfolded risk-return trade-offs and links to Macroeconomic Dynamics," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 1-19.
    5. Cameron McIntosh, 2014. "The presence of an error term does not preclude causal inference in regression: a comment on Krause (2012)," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 243-250, January.

  8. Haughton, Andre Yone & Iglesias, Emma M., 2012. "Interest rate volatility, asymmetric interest rate pass through and the monetary transmission mechanism in the Caribbean compared to US and Asia," Economic Modelling, Elsevier, vol. 29(6), pages 2071-2089.

    Cited by:

    1. Stephen McKnight & Marco Robles Sánchez, 2014. "Is a monetary union feasible for Latin America? Evidence from real effective exchange rates and interest rate pass-through levels," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 29(2), pages 225-262.
    2. Perera, Anil & Wickramanayake, J., 2016. "Determinants of commercial bank retail interest rate adjustments: Evidence from a panel data model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 45(C), pages 1-20.
    3. Gregor, Jiri & Melecky, Martin, 2018. "The Pass-Through of Monetary Policy Rate to Lending Rates: The Role of Macro-financial Factors," MPRA Paper 84048, University Library of Munich, Germany.
    4. Khemraj, Tarron, 2013. "Bank liquidity preference and the investment demand constraint," Economic Modelling, Elsevier, vol. 33(C), pages 977-990.

  9. Emma M. Iglesias, 2012. "An analysis of extreme movements of exchange rates of the main currencies traded in the Foreign Exchange market," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4631-4637, December.

    Cited by:

    1. 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.
    2. 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.
    3. 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.

  10. Emma M. Iglesias & María Dolores Lagoa Varela, 2012. "Extreme movements of the main stocks traded in the Eurozone: an analysis by sectors in the 2000's decade," Applied Financial Economics, Taylor & Francis Journals, vol. 22(24), pages 2085-2100, December.

    Cited by:

    1. 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.
    2. 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.

  11. Emma M. Iglesias & Garry D. A. Phillips, 2012. "Almost Unbiased Estimation in Simultaneous Equation Models With Strong and/or Weak Instruments," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(4), pages 505-520, June.

    Cited by:

    1. Symeonides Spyridon D. & Karavias Yiannis & Tzavalis Elias, 2017. "Size corrected Significance Tests in Seemingly Unrelated Regressions with Autocorrelated Errors," Journal of Time Series Econometrics, De Gruyter, vol. 9(1), pages 1-41, January.
    2. Phillips, Garry D.A. & Liu-Evans, Gareth, 2016. "Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 734-762.

  12. Christensen, Bent Jesper & Dahl, Christian M. & Iglesias, Emma M., 2012. "Semiparametric inference in a GARCH-in-mean model," Journal of Econometrics, Elsevier, vol. 167(2), pages 458-472.
    See citations under working paper version above.
  13. Emma Iglesias & Garry Phillips, 2011. "Small Sample Estimation Bias in GARCH Models with Any Number of Exogenous Variables in the Mean Equation," Econometric Reviews, Taylor & Francis Journals, vol. 30(3), pages 303-336.

    Cited by:

    1. Iglesias, Emma M., 2006. "Higher-order asymptotic properties of QML in [beta]-ARCH and [mu]-ARCH models," Economics Letters, Elsevier, vol. 93(2), pages 261-266, November.
    2. Emma M. Iglesias & Garry D. A. Phillips, 2008. "Finite Sample Theory of QMLE in ARCH Models with Dynamics in the Mean Equation," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(4), pages 719-737, July.
    3. Stelios Arvanitis & Antonis Demos, "undated". "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.
    4. Emma M. Iglesias & Garry D.A. Phillips, 2004. "Multivariate Arch Models: Finite Sample Properties Of Ml Estimators And An Application To An Lm-Type Test," Working Papers. Serie AD 2004-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    5. Bao, Yong & Ullah, Aman, 2004. "Bias of a Value-at-Risk estimator," Finance Research Letters, Elsevier, vol. 1(4), pages 241-249, December.
    6. Antonis Demos & Dimitra Kyriakopoulou, 2018. "Finite Sample Theory and Bias Correction of Maximum Likelihood Estimators in the EGARCH Model," DEOS Working Papers 1802, Athens University of Economics and Business.

  14. Iglesias Emma M, 2010. "First and Second Order Asymptotic Bias Correction of Nonlinear Estimators in a Non-Parametric Setting and an Application to the Smoothed Maximum Score Estimator," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-30, May.

    Cited by:

    1. Chen, Songnian & Zhang, Hanghui, 2015. "Binary quantile regression with local polynomial smoothing," Journal of Econometrics, Elsevier, vol. 189(1), pages 24-40.

  15. Iglesias, Emma M. & Phillips, Garry D.A., 2010. "The bias to order T-Â 2 for the general k-class estimator in a simultaneous equation model," Economics Letters, Elsevier, vol. 109(1), pages 42-45, October.

    Cited by:

    1. Symeonides Spyridon D. & Karavias Yiannis & Tzavalis Elias, 2017. "Size corrected Significance Tests in Seemingly Unrelated Regressions with Autocorrelated Errors," Journal of Time Series Econometrics, De Gruyter, vol. 9(1), pages 1-41, January.
    2. Phillip, Garry & Xu, Yongdeng, 2016. "Almost Unbiased Variance Estimation in Simultaneous Equation Models," Cardiff Economics Working Papers E2016/10, Cardiff University, Cardiff Business School, Economics Section.
    3. Phillips, Garry D.A. & Liu-Evans, Gareth, 2016. "Approximating and reducing bias in 2SLS estimation of dynamic simultaneous equation models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 734-762.
    4. Phillips, Garry D.A. & Liu-Evans, Gareth, 2011. "The Robustness of the Higher-Order 2SLS and General k-Class Bias Approximations to Non-Normal Disturbances," Cardiff Economics Working Papers E2011/20, Cardiff University, Cardiff Business School, Economics Section.

  16. Iglesias Emma M, 2009. "Finite Sample Theory of QMLEs in ARCH Models with an Exogenous Variable in the Conditional Variance Equation," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(2), pages 1-30, May.

    Cited by:

    1. Christensen, Bent Jesper & Dahl, Christian M. & Iglesias, Emma M., 2012. "Semiparametric inference in a GARCH-in-mean model," Journal of Econometrics, Elsevier, vol. 167(2), pages 458-472.
    2. Ming Chen & Qiongxia Song, 2016. "Semi-parametric estimation and forecasting for exogenous log-GARCH models," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(1), pages 93-112, March.

  17. Dahl, Christian M. & Iglesias, Emma M., 2009. "Volatility spill-overs in commodity spot prices: New empirical results," Economic Modelling, Elsevier, vol. 26(3), pages 601-607, May.

    Cited by:

    1. West, Kenneth D. & Wong, Ka-Fu, 2014. "A factor model for co-movements of commodity prices," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 289-309.
    2. Hegerty, Scott W., 2016. "Commodity-price volatility and macroeconomic spillovers: Evidence from nine emerging markets," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 23-37.
    3. Symeonidis, Lazaros & Prokopczuk, Marcel & Brooks, Chris & Lazar, Emese, 2012. "Futures basis, inventory and commodity price volatility: An empirical analysis," Economic Modelling, Elsevier, vol. 29(6), pages 2651-2663.
    4. Chkili, Walid, 2015. "Gold-oil prices co-movements and portfolio diversification implications," MPRA Paper 68110, University Library of Munich, Germany.
    5. Walid Chkili & Shawkat Hammoudeh & Duc Khuong Nguyen, 2014. "Volatility forecasting and risk management for commodity markets in the presence of asymmetry and long memory," Working Papers 2014-325, Department of Research, Ipag Business School.
    6. Amine Lahiani & Duc Khuong Nguyen & Thierry Vo, 2014. "Understanding return and volatility spillovers among major agricultural commodities," Working Papers 2014-243, Department of Research, Ipag Business School.
    7. Serra, Teresa & Zilberman, David, 2013. "Biofuel-related price transmission literature: A review," Energy Economics, Elsevier, vol. 37(C), pages 141-151.
    8. Walid Chkili, 2015. "Gold–oil prices co-movements and portfolio diversification implications," Economics Bulletin, AccessEcon, vol. 35(4), pages 2832-2845.
    9. Chevallier, Julien, 2010. "Modelling risk premia in CO2 allowances spot and futures prices," Economic Modelling, Elsevier, vol. 27(3), pages 717-729, May.

  18. Maixé-Altés, J. Carles & Iglesias, Emma M., 2009. "Domestic monetary transfers and the inland bill of exchange markets in Spain (1775-1885)," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 496-521, April.

    Cited by:

    1. Maixe-Altes, J. Carles, 2009. "The diversity of organisational forms in banking: France, Italy and Spain 1900-2000," MPRA Paper 14838, University Library of Munich, Germany.
    2. Julio Martinez-Galarraga, 2010. "The determinants of industrial location in Spain, 1856-1929," Working Papers in Economics 244, Universitat de Barcelona. Espai de Recerca en Economia.
    3. Jaremski, Matthew & Mathy, Gabrial, 2017. "Looking Back On the Age of Checking in America, 1800-1960," MPRA Paper 78083, University Library of Munich, Germany.

  19. Emma M. Iglesias & Garry D. A. Phillips, 2008. "Finite Sample Theory of QMLE in ARCH Models with Dynamics in the Mean Equation," Journal of Time Series Analysis, Wiley Blackwell, vol. 29(4), pages 719-737, July.

    Cited by:

    1. Ana Maria Herrera & Pinar Ozbay, 2005. "A Dynamic Model of Central Bank Intervention," Working Papers 0501, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    2. Kiviet, Jan F. & Phillips, Garry D.A., 2012. "Higher-order asymptotic expansions of the least-squares estimation bias in first-order dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3705-3729.
    3. Maixé-Altés, J. Carles & Iglesias, Emma M., 2009. "Domestic monetary transfers and the inland bill of exchange markets in Spain (1775-1885)," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 496-521, April.

  20. Corradi, Valentina & Iglesias, Emma M., 2008. "Bootstrap refinements for QML estimators of the GARCH(1,1) parameters," Journal of Econometrics, Elsevier, vol. 144(2), pages 500-510, June.

    Cited by:

    1. Arvanitis Stelios & Demos Antonis, 2018. "On the Validity of Edgeworth Expansions and Moment Approximations for Three Indirect Inference Estimators," Journal of Econometric Methods, De Gruyter, vol. 7(1), pages 1-38, January.
    2. Gloria Gonzalez-Rivera & Joao Henrique Mazzeu & Esther Ruiz & Helena Veiga, 2017. "A Bootstrap Approach for Generalized Autocontour Testing. Implications for VIX Forecast Densities," Working Papers 201709, University of California at Riverside, Department of Economics.
    3. Norman R. Swanson & Valentina Corradi & Andres Fernandez, 2011. "Information in the Revision Process of Real-Time Datasets," Departmental Working Papers 201107, Rutgers University, Department of Economics.
    4. Peter Malec, 2016. "A Semiparametric Intraday GARCH Model," Cambridge Working Papers in Economics 1633, Faculty of Economics, University of Cambridge.
    5. Antonis Demos & Stelios Arvanitis, 2012. "Stochastic Expansions and Moment Approximations for Three Indirect Estimators Revised (Extended Appendix)," DEOS Working Papers 1215, Athens University of Economics and Business.
    6. Antonis Demos & Stelios Arvanitis, 2012. "On the Validity of Edgeworth Expansions and Moment Approximations for Three Indirect Estimators (Extended Revised Appendix)," DEOS Working Papers 1230, Athens University of Economics and Business.
    7. Gonçalves Mazzeu, Joao Henrique & González-Rivera, Gloria & Ruiz, Esther & Veiga, Helena, 2016. "A Bootstrap Approach for Generalized Autocontour Testing," DES - Working Papers. Statistics and Econometrics. WS 23457, Universidad Carlos III de Madrid. Departamento de Estadística.
    8. Antonis Demos & Dimitra Kyriakopoulou, 2010. "Bias Correction of ML and QML Estimators in the EGARCH(1,1) Model," DEOS Working Papers 1108, Athens University of Economics and Business.
    9. Moon, Seongman & Velasco, Carlos, 2013. "Tests for m-dependence based on sample splitting methods," Journal of Econometrics, Elsevier, vol. 173(2), pages 143-159.
    10. Stelios Arvanitis & Antonis Demos, "undated". "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. Fresoli, Diego & Ruiz, Esther, 2014. "The uncertainty of conditional returns, volatilities and correlations in DCC models," DES - Working Papers. Statistics and Econometrics. WS ws140202, Universidad Carlos III de Madrid. Departamento de Estadística.
    12. Christian M. Dahl & Emma M. Iglesias, 2008. "The limiting properties of the QMLE in a general class of asymmetric volatility models," CREATES Research Papers 2008-38, Department of Economics and Business Economics, Aarhus University.
    13. Antonis Demos & Stelios Arvanitis, 2010. "A New Class of Indirect Estimators and Bias Correction," DEOS Working Papers 1023, Athens University of Economics and Business.
    14. Antonis Demos & Dimitra Kyriakopoulou, 2018. "Finite Sample Theory and Bias Correction of Maximum Likelihood Estimators in the EGARCH Model," DEOS Working Papers 1802, Athens University of Economics and Business.
    15. Shimizu Kenichi, 2013. "The bootstrap does not alwayswork for heteroscedasticmodels," Statistics & Risk Modeling, De Gruyter, vol. 30(3), pages 189-204, August.
    16. Stelios Arvanitis & Antonis Demos, 2012. "Valid Locally Uniform Edgeworth Expansions Under Weak Dependence and Sequences of Smooth Transformations," DEOS Working Papers 1229, Athens University of Economics and Business, revised 24 Aug 2012.

  21. Iglesias, Emma M. & Phillips, Garry D.A., 2008. "Asymptotic bias of GMM and GEL under possible nonstationary spatial dependence," Economics Letters, Elsevier, vol. 99(2), pages 393-397, May.

    Cited by:

    1. Joris Pinkse & Margaret E. Slade, 2010. "The Future Of Spatial Econometrics," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 103-117.
    2. Smirnov, Oleg A., 2010. "Modeling spatial discrete choice," Regional Science and Urban Economics, Elsevier, vol. 40(5), pages 292-298, September.
    3. Joris Pinkse & Margaret Slade & Lihong Shen, 2006. "Dynamic Spatial Discrete Choice Using One-step GMM: An Application to Mine Operating Decisions," Spatial Economic Analysis, Taylor & Francis Journals, vol. 1(1), pages 53-99.

  22. Iglesias, Emma M. & Linton, Oliver B., 2007. "Higher Order Asymptotic Theory When A Parameter Is On A Boundary With An Application To Garch Models," Econometric Theory, Cambridge University Press, vol. 23(06), pages 1136-1161, December.

    Cited by:

    1. Antonis Demos & Dimitra Kyriakopoulou, 2010. "Bias Correction of ML and QML Estimators in the EGARCH(1,1) Model," DEOS Working Papers 1108, Athens University of Economics and Business.
    2. Stelios Arvanitis & Antonis Demos, "undated". "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.
    3. Antonis Demos & Stelios Arvanitis, 2010. "A New Class of Indirect Estimators and Bias Correction," DEOS Working Papers 1023, Athens University of Economics and Business.
    4. Antonis Demos & Dimitra Kyriakopoulou, 2018. "Finite Sample Theory and Bias Correction of Maximum Likelihood Estimators in the EGARCH Model," DEOS Working Papers 1802, Athens University of Economics and Business.
    5. Fan, Yanqin & Park, Sang Soo, 2014. "Nonparametric inference for counterfactual means: Bias-correction, confidence sets, and weak IV," Journal of Econometrics, Elsevier, vol. 178(P1), pages 45-56.

  23. Iglesias, Emma M. & Phillips, Garry D.A., 2005. "Bivariate Arch Models: Finite-Sample Properties Of Qml Estimators And An Application To An Lm-Type Test," Econometric Theory, Cambridge University Press, vol. 21(06), pages 1058-1086, December.

    Cited by:

    1. Iglesias, Emma M., 2014. "Testing of the mean reversion parameter in continuous time models," Economics Letters, Elsevier, vol. 122(2), pages 187-189.
    2. Maixé-Altés, J. Carles & Iglesias, Emma M., 2009. "Domestic monetary transfers and the inland bill of exchange markets in Spain (1775-1885)," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 496-521, April.
    3. Chambers, Marcus J., 2013. "Jackknife estimation of stationary autoregressive models," Journal of Econometrics, Elsevier, vol. 172(1), pages 142-157.

  24. Emma Iglesias & Garry Phillips, 2005. "Analysing one-month Euro-market interest rates by fractionally integrated models," Applied Financial Economics, Taylor & Francis Journals, vol. 15(2), pages 95-106.

    Cited by:

    1. Høg, Espen P. & Frederiksen, Per H., 2006. "The Fractional Ornstein-Uhlenbeck Process: Term Structure Theory and Application," Finance Research Group Working Papers F-2006-01, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    2. Selçuk BAYRACI, 2017. "Long-memory, self-similarity and scaling of the long-term government bond yields: Evidence from Turkey and the USA," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(3(612), A), pages 71-82, Autumn.
    3. da Silva, Cleomar Gomes & Leme, Maria Carolina da Silva, 2011. "An Analysis of the Degrees of Persistence of Inflation, Inflation Expectations and Real Interest Rate in Brazil," Revista Brasileira de Economia - RBE, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 65(3), September.
    4. Høg, Esben & Frederiksen, Per & Schiemert, Daniel, 2008. "On the Generalized Brownian Motion and its Applications in Finance," Finance Research Group Working Papers F-2008-07, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    5. Esben Hoeg & Per Frederiksen, 2006. "The Fractional OU Process: Term Structure Theory and Application," Computing in Economics and Finance 2006 194, Society for Computational Economics.
    6. Cleomar Gomes da Silva & Flávio Vilela Vieira, 2014. "BRICS countries: real interest rates and long memory," Economics Bulletin, AccessEcon, vol. 34(1), pages 409-419.

  25. Iglesias, Emma M. & Phillips, Garry D. A., 2003. "Another look about the evolution of the risk premium: a VAR-GARCH-M model," Economic Modelling, Elsevier, vol. 20(4), pages 777-789, July.

    Cited by:

    1. 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.
    2. Stefano Puddu, 2013. "Real Sector and Banking System: Real and Feedback Effects. A Non-Linear VAR Approach," IRENE Working Papers 13-01, IRENE Institute of Economic Research.
    3. Sun, Xiaolei & Li, Jianping & Tang, Ling & Wu, Dengsheng, 2012. "Identifying the risk-return tradeoff and exploring the dynamic risk exposure of country portfolio of the FSU's oil economies," Economic Modelling, Elsevier, vol. 29(6), pages 2494-2503.
    4. Maixé-Altés, J. Carles & Iglesias, Emma M., 2009. "Domestic monetary transfers and the inland bill of exchange markets in Spain (1775-1885)," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 496-521, April.
    5. Chevallier, Julien, 2010. "Modelling risk premia in CO2 allowances spot and futures prices," Economic Modelling, Elsevier, vol. 27(3), pages 717-729, May.

  26. Iglesias, Emma M. & Phillips, Garry D. A., 2001. "Reconsidering the gains in efficiency from ML estimation versus OLS in ARCH models," Economics Letters, Elsevier, vol. 74(1), pages 21-24, December.

    Cited by:

    1. Maixé-Altés, J. Carles & Iglesias, Emma M., 2009. "Domestic monetary transfers and the inland bill of exchange markets in Spain (1775-1885)," Journal of International Money and Finance, Elsevier, vol. 28(3), pages 496-521, April.

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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 (9) 2004-10-30 2004-10-30 2006-11-25 2008-07-14 2008-09-05 2009-08-16 2010-01-10 2010-09-03 2011-08-22. Author is listed
  2. NEP-ETS: Econometric Time Series (6) 2004-10-30 2008-07-14 2008-09-05 2009-08-16 2010-01-10 2010-09-03. Author is listed
  3. NEP-ORE: Operations Research (2) 2010-01-10 2010-09-03
  4. NEP-RMG: Risk Management (2) 2009-08-16 2010-01-10
  5. NEP-FIN: Finance (1) 2004-10-30
  6. NEP-FMK: Financial Markets (1) 2010-01-10
  7. NEP-HIS: Business, Economic & Financial History (1) 2015-12-08
  8. NEP-MAC: Macroeconomics (1) 2015-12-08
  9. NEP-OPM: Open Economy Macroeconomics (1) 2015-12-08
  10. NEP-PBE: Public Economics (1) 2015-12-08

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