IDEAS home Printed from https://ideas.repec.org/e/pdi74.html
   My authors  Follow this author

Francesca Di Iorio

Personal Details

First Name:Francesca
Middle Name:
Last Name:Di Iorio
Suffix:
RePEc Short-ID:pdi74
[This author has chosen not to make the email address public]
Terminal Degree:1996 Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti"; Università degli Studi di Firenze (from RePEc Genealogy)

Affiliation

(50%) Università degli Studi di Napoli Federico II, Dipartimento di Scienze Politiche

http://scienzepolitiche.dip.unina.it/
Napoli
via L. Rodinò 22, I-80138,Napoli (Italy)

Research output

as
Jump to: Working papers Articles

Working papers

  1. G. Cerulli & R. Simone & F. Di Iorio & D. Piccolo & C.F. Baum, 2021. "The Stata module for CUB models for rating data analysis," London Stata Conference 2021 16, Stata Users Group.
  2. Syed Basher & Francesca Di Iorio & Stefano Fachin, 2020. "Regional Income Dynamics in Bangladesh: The Road to a Balanced Development is in the Middle," DSS Empirical Economics and Econometrics Working Papers Series 2021/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  3. Francesca Di Iorio & Stefano Fachin, 2020. "Forecasting mortality rates and life expectancy in the year of Covid-19," DSS Empirical Economics and Econometrics Working Papers Series 2020/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  4. Francesca Di Iorio & Stefano Fachin, 2019. "Fiscal reaction functions for the advanced economies revisited," DSS Empirical Economics and Econometrics Working Papers Series 2019/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  5. Francesca Di Iorio & Maria Letizia Giorgietti, 2019. "Launch of a product and patents: evidence from the US cardiovascular pharmaceutical sector," DEM Working Papers Series 169, University of Pavia, Department of Economics and Management.
  6. Francesca Di Iorio & Maria Letizia Giorgetti, 2018. "The impact of submarket concentration in the US pharmaceutical industry in 1987-1998," DEM Working Papers Series 163, University of Pavia, Department of Economics and Management.
  7. Francesca Di Iorio & Stefano Fachin, 2018. "The Prebish-Singer hypothesis in the post-colonial era: evidence from panel cointegration," DSS Empirical Economics and Econometrics Working Papers Series 2018/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  8. Francesca Di Iorio & Stefano Fachin, 2017. "Evaluating Restricted Common Factor models for non-stationary data," DSS Empirical Economics and Econometrics Working Papers Series 2017/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  9. Francesca DI IORIO & Maria Letizia GIORGETTI, 2017. "Entry and Patents: Evidence from the US Cardiovascular Pharmaceutical Sector," Departmental Working Papers 2017-07, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  10. Francesca DI IORIO & Maria Letizia GIORGETTI, 2017. "A Deeper Analysis on Pharmaceutical Submarket Concentration: the US market in 1987-1998," Departmental Working Papers 2017-02, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.
  11. Francesca Di Iorio & Stefano Fachin, 2014. "Dealing with unobservable common trends in small samples: a panel cointegration approach," DSS Empirical Economics and Econometrics Working Papers Series 2014/5, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  12. Francesca DI IORIO & Stefano FACHIN & Riccardo LUCCHETTI, 2013. "Can you do the wrong thing and still be right? Hypothesis Testing in I(2) and near-I(2) cointegrated VARs," Working Papers 395, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
  13. Francesca Di Iorio & Stefano Fachin, 2012. "Savings and Investments in the OECD: a panel cointegration study with a new bootstrap test," DSS Empirical Economics and Econometrics Working Papers Series 2012/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  14. Di Iorio, Francesca & Fachin, Stefano, 2012. "A note on the estimation of long-run relationships in panel equations with cross-section linkages," Economics Discussion Papers 2012-1, Kiel Institute for the World Economy (IfW Kiel).
  15. Francesca Di Iorio & Stefano Fachin, 2011. "A sieve bootstrap range test for poolability in dependent cointegrated panels," DSS Empirical Economics and Econometrics Working Papers Series 2011/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
  16. Di Iorio, Francesca & Triacca, Umberto, 2011. "Testing for non-causality by using the Autoregressive Metric," MPRA Paper 29637, University Library of Munich, Germany.
  17. Di Iorio, Francesca & Fachin, Stefano, 2010. "A Panel Cointegration study of the long-run relationship between Savings and Investments in the OECD economies, 1970-2007," MPRA Paper 25873, University Library of Munich, Germany.
  18. Di Iorio, Francesca & Fachin, Stefano, 2008. "A note on the estimation of long-run relationships in dependent cointegrated panels," MPRA Paper 12053, University Library of Munich, Germany.
  19. Di Iorio, Francesca & Fachin, Stefano, 2007. "Testing for Breaks in Cointegrated Panels - with an Application to the Feldstein-Horioka Puzzle," Economics Discussion Papers 2007-39, Kiel Institute for the World Economy (IfW Kiel).
  20. Di Iorio, Francesca & Fachin, Stefano, 2007. "Cointegration testing in dependent panels with breaks," MPRA Paper 3139, University Library of Munich, Germany.
  21. Di Iorio, Francesca & Fachin, Stefano, 2006. "Testing for breaks in cointegrated panels," MPRA Paper 3280, University Library of Munich, Germany.
  22. Otranto, Edoardo & Calzolari, Giorgio & Di Iorio, Francesca, 2005. "Indirect estimation of Markov switching models with endogenous switching," MPRA Paper 22983, University Library of Munich, Germany, revised 2005.
  23. Giorgio Calzolari & F. Di Iorio & G. Fiorentini, 1999. "Indirect Estimation of Just-Identified Models with Control Variates," Econometrics Working Papers Archive quaderno46, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
  24. Gabriele Fiorentini & Francesca Di Iorio & Giorgio Calzolari, 1998. "- Control Variates For Variance Reduction In Indirect Inference: Interest Rate Models In Continuous Time," Working Papers. Serie AD 1998-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

Articles

  1. Francesca Di Iorio & Stefano Fachin, 2022. "Fiscal reaction functions for the advanced economies revisited," Empirical Economics, Springer, vol. 62(6), pages 2865-2891, June.
  2. Francesca Di Iorio & Umberto Triacca, 2022. "A comparison between VAR processes jointly modeling GDP and Unemployment rate in France and Germany," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 617-635, September.
  3. Giovanni Cerulli & Rosaria Simone & Francesca Di Iorio & Domenico Piccolo & Christopher F Baum, 2022. "Fitting mixture models for feeling and uncertainty for rating data analysis," Stata Journal, StataCorp LP, vol. 22(1), pages 195-223, March.
  4. Alessio Buonomo & Stefania Capecchi & Francesca Di Iorio & Salvatore Strozza, 2022. "Economic outcomes and immigrants self-identification," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 76(2), pages 4-12, April-Jun.
  5. Di Iorio, Francesca & Fachin, Stefano, 2021. "Evaluating restricted common factor models for non-stationary data," Econometrics and Statistics, Elsevier, vol. 17(C), pages 64-75.
  6. Di Iorio Francesca & Baldacci Emanuele & Buono Dario & di Gennaro Splendore Luca & Elliott Duncan & Killick Rebecca & Laureti Tiziana & Pratesi Monica & Shlomo Natalie, 2021. "Preface," Journal of Official Statistics, Sciendo, vol. 37(2), pages 257-260, June.
  7. Carmela Cappelli & Francesca Iorio & Angela Maddaloni & Pierpaolo D’Urso, 2021. "Atheoretical Regression Trees for classifying risky financial institutions," Annals of Operations Research, Springer, vol. 299(1), pages 1357-1377, April.
  8. Marchese, Malvina & Kyriakou, Ioannis & Tamvakis, Michael & Di Iorio, Francesca, 2020. "Forecasting crude oil and refined products volatilities and correlations: New evidence from fractionally integrated multivariate GARCH models," Energy Economics, Elsevier, vol. 88(C).
  9. F. Di Iorio & M. Letizia Giorgetti, 2020. "Launch of a product and patents: evidence from the US cardiovascular pharmaceutical sector," Industry and Innovation, Taylor & Francis Journals, vol. 27(7), pages 789-803, August.
  10. Di Iorio, Francesca & Fachin, Stefano, 2018. "The Prebish–Singer hypothesis in the post-colonial era: Evidence from panel cointegration," Economics Letters, Elsevier, vol. 166(C), pages 86-89.
  11. Francesca Di Iorio & Stefano Fachin & Riccardo Lucchetti, 2016. "Can you do the wrong thing and still be right? Hypothesis testing in I(2) and near-I(2) cointegrated VARs," Applied Economics, Taylor & Francis Journals, vol. 48(38), pages 3665-3678, August.
  12. Francesca Di Iorio & Umberto Triacca, 2014. "Testing for A Set of Linear Restrictions in VARMA Models Using Autoregressive Metric: An Application to Granger Causality Test," Econometrics, MDPI, vol. 2(4), pages 1-14, December.
  13. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
  14. Di Iorio, Francesca & Triacca, Umberto, 2013. "Testing for Granger non-causality using the autoregressive metric," Economic Modelling, Elsevier, vol. 33(C), pages 120-125.
  15. Di Iorio, Francesca & Fachin, Stefano, 2012. "A note on the estimation of long-run relationships in panel equations with cross-section linkages," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-18.
  16. Di Iorio, Francesca & Fachin, Stefano, 2012. "A simple sieve bootstrap range test for poolability in dependent cointegrated panels," Economics Letters, Elsevier, vol. 116(2), pages 154-156.
  17. Francesca Di Iorio & Maria Iannario, 2012. "Residual diagnostics for interpreting CUB models," Statistica, Department of Statistics, University of Bologna, vol. 72(2), pages 163-172.
  18. Francesca Di Iorio & Stefano Fachin, 2009. "A residual-based bootstrap test for panel cointegration," Economics Bulletin, AccessEcon, vol. 29(4), pages 3222-3232.
  19. Di Iorio, Francesca & Fachin, Stefano, 2007. "Testing for Breaks in Cointegrated Panels - with an Application to the Feldstein-Horioka Puzzle," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-23.
  20. Di Iorio, Francesca & Calzolari, Giorgio, 2006. "Discontinuities in indirect estimation: An application to EAR models," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 2124-2136, April.
  21. Francesca Di Iorio & Stefano Fachin, 2006. "Maximum Likelihood Estimation of Input Demand Models with Fixed Costs of Adjustment," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 15(1), pages 129-137, May.
  22. Francesca Di Iorio & Stefano Fachin, 2004. "Models of labour demand with fixed costs of adjustment: a generalised tobit approach," Economics Bulletin, AccessEcon, vol. 3(31), pages 1-8.
  23. Giorgio Calzolari & Francesca Di Iorio & Gabriele Fiorentini, 2001. "Indirect inference and variance reduction using control variates," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 39-53.
  24. Giorgio Calzolari & Francesca Di Iorio & Gabriele Fiorentini, 1998. "Control variates for variance reduction in indirect inference: Interest rate models in continuous time," Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages 100-112.

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. Francesca Di Iorio & Stefano Fachin, 2019. "Fiscal reaction functions for the advanced economies revisited," DSS Empirical Economics and Econometrics Working Papers Series 2019/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.

    Cited by:

    1. António Afonso & José Alves & José Carlos Coelho, 2023. "Determinants of the Degree of Fiscal Sustainability," CESifo Working Paper Series 10225, CESifo.

  2. Francesca Di Iorio & Stefano Fachin, 2018. "The Prebish-Singer hypothesis in the post-colonial era: evidence from panel cointegration," DSS Empirical Economics and Econometrics Working Papers Series 2018/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.

    Cited by:

    1. Jean-François Carpantier, 2021. "Commodity Prices in Empirical Research," Dynamic Modeling and Econometrics in Economics and Finance, in: Gilles Dufrénot & Takashi Matsuki (ed.), Recent Econometric Techniques for Macroeconomic and Financial Data, pages 199-227, Springer.
    2. Winkelried, Diego, 2017. "Unit roots in real primary commodity prices? A meta-analysis of the Grilli and Yang data set," Working Papers 2017-013, Banco Central de Reserva del Perú.
    3. Kassouri, Yacouba & Altıntaş, Halil, 2020. "Commodity terms of trade shocks and real effective exchange rate dynamics in Africa's commodity-exporting countries," Resources Policy, Elsevier, vol. 68(C).

  3. Francesca DI IORIO & Stefano FACHIN & Riccardo LUCCHETTI, 2013. "Can you do the wrong thing and still be right? Hypothesis Testing in I(2) and near-I(2) cointegrated VARs," Working Papers 395, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.

    Cited by:

    1. Sergej Gričar & Štefan Bojnec, 2021. "Technical Analysis of Tourism Price Process in the Eurozone," JRFM, MDPI, vol. 14(11), pages 1-25, October.
    2. Kurita, Takamitsu, 2020. "Likelihood-based tests for parameter constancy in I(2) CVAR models with an application to fixed-term deposit data," Journal of Multivariate Analysis, Elsevier, vol. 178(C).
    3. Massimo Franchi & Søren Johansen, 2017. "Improved inference on cointegrating vectors in the presence of a near unit root using adjusted quantiles," CREATES Research Papers 2017-17, Department of Economics and Business Economics, Aarhus University.

  4. Francesca Di Iorio & Stefano Fachin, 2012. "Savings and Investments in the OECD: a panel cointegration study with a new bootstrap test," DSS Empirical Economics and Econometrics Working Papers Series 2012/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.

    Cited by:

    1. Ghassan, Hassan & Boulanouar, Zakaria & Hassan, Kabir Mohammed, 2020. "Revisiting Banking Stability Using a New Panel Cointegration Test," MPRA Paper 107085, University Library of Munich, Germany, revised 2020.
    2. Francesca Di Iorio & Stefano Fachin, 2018. "The Prebish-Singer hypothesis in the post-colonial era: evidence from panel cointegration," DSS Empirical Economics and Econometrics Working Papers Series 2018/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    3. Rajarshi Mitra, 2015. "Saving-Investment Correlation and Capital Flows: The Philippines 1960-2014," Economics Bulletin, AccessEcon, vol. 35(4), pages 2853-2861.
    4. Andriansyah, Andriansyah & Messinis, George, 2019. "Stock Prices, Exchange Rates and Portfolio Equity Flows: A Toda-Yamamoto Panel Causality Test," MPRA Paper 97992, University Library of Munich, Germany.
    5. Francesca Di Iorio & Stefano Fachin, 2019. "Fiscal reaction functions for the advanced economies revisited," DSS Empirical Economics and Econometrics Working Papers Series 2019/1, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    6. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    7. Andriansyah, Andriansyah, 2016. "Savings and Investment in Indonesia," MPRA Paper 105254, University Library of Munich, Germany.
    8. Ahmad, Munir & Wu, Yiyun, 2022. "Natural resources, technological progress, and ecological efficiency: Does financial deepening matter for G-20 economies?," Resources Policy, Elsevier, vol. 77(C).
    9. Liddle, Brantley & Messinis, George, 2013. "Which comes first—urbanization or economic growth? Evidence from heterogeneous panel causality tests," MPRA Paper 53983, University Library of Munich, Germany.
    10. Iorio, Francesca Di & Fachin, Stefano, 2014. "Savings and investments in the OECD, 1970–2007: A test of panel cointegration with regime changes," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 59-76.
    11. Andrew Phiri, 2017. "The Feldstein-Horioka puzzle and the global financial crisis: Evidence from South Africa using asymmetric cointegation analysis," Working Papers 1701, Department of Economics, Nelson Mandela University, revised May 2017.
    12. Ketenci, Natalya, 2018. "Impact of the Global Financial Crisis on the Level of Capital Mobility in EU Members," MPRA Paper 100075, University Library of Munich, Germany.
    13. Rajarshi Mitra, 2017. "Domestic Saving-Investment Correlation Puzzle Revisited: A Time Series Analysis for South Africa," Economics Bulletin, AccessEcon, vol. 37(2), pages 1217-1225.
    14. Jaunky, Vishal Chandr, 2013. "A cointegration and causality analysis of copper consumption and economic growth in rich countries," Resources Policy, Elsevier, vol. 38(4), pages 628-639.

  5. Di Iorio, Francesca & Fachin, Stefano, 2012. "A note on the estimation of long-run relationships in panel equations with cross-section linkages," Economics Discussion Papers 2012-1, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    2. Herzer, Dierk, 2015. "The long-run effect of foreign direct investment on total factor productivity in developing countries: A panel cointegration analysis," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112827, Verein für Socialpolitik / German Economic Association.
    3. Herzer, Dierk, 2014. "The long-run relationship between trade and population health: evidence from five decades," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100441, Verein für Socialpolitik / German Economic Association.
    4. Syed Abul Basher & Stefano Fachin, 2014. "Investigating long-run demand for broad money in the Gulf Arab countries," Middle East Development Journal, Taylor & Francis Journals, vol. 6(2), pages 199-214, July.
    5. Muhammad Javid, 2019. "Public and Private Infrastructure Investment and Economic Growth in Pakistan: An Aggregate and Disaggregate Analysis," Sustainability, MDPI, vol. 11(12), pages 1-22, June.
    6. Néstor Adrián Le Clech, 2023. "Productive capacity and international competitiveness: evidence from Latin America and Caribbean countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 50(3), pages 695-724, August.
    7. Serdar Ongan & Ismet Gocer, 2017. "Testing The Causalities Between Economic Policy Uncertainty And The Us Stock Indices: Applications Of Linear And Nonlinear Approaches," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(04), pages 1-20, December.
    8. Francesca Di Iorio & Stefano Fachin, 2014. "Dealing with unobservable common trends in small samples: a panel cointegration approach," DSS Empirical Economics and Econometrics Working Papers Series 2014/5, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.

  6. Francesca Di Iorio & Stefano Fachin, 2011. "A sieve bootstrap range test for poolability in dependent cointegrated panels," DSS Empirical Economics and Econometrics Working Papers Series 2011/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.

    Cited by:

    1. Stephan Smeekes & Jean-Pierre Urbain, 2014. "On the Applicability of the Sieve Bootstrap in Time Series Panels," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(1), pages 139-151, February.

  7. Di Iorio, Francesca & Fachin, Stefano, 2010. "A Panel Cointegration study of the long-run relationship between Savings and Investments in the OECD economies, 1970-2007," MPRA Paper 25873, University Library of Munich, Germany.

    Cited by:

    1. Syed Abul Basher & Stefano Fachin, 2014. "Investigating long-run demand for broad money in the Gulf Arab countries," Middle East Development Journal, Taylor & Francis Journals, vol. 6(2), pages 199-214, July.

  8. Di Iorio, Francesca & Fachin, Stefano, 2008. "A note on the estimation of long-run relationships in dependent cointegrated panels," MPRA Paper 12053, University Library of Munich, Germany.

    Cited by:

    1. Francesca Di Iorio & Stefano Fachin, 2011. "A sieve bootstrap range test for poolability in dependent cointegrated panels," DSS Empirical Economics and Econometrics Working Papers Series 2011/2, Centre for Empirical Economics and Econometrics, Department of Statistics, "Sapienza" University of Rome.
    2. Brücker, Herbert & Fachin, Stefano & Venturini, Alessandra, 2009. "Do Foreigners Replace Native Immigrants? Evidence from a Panel Cointegration Analysis," IZA Discussion Papers 4438, Institute of Labor Economics (IZA).
    3. Barut, Abdulkadir & Kaya, Emine & Bekun, Festus Victor & Cengiz, Sevgi, 2023. "Environmental sustainability amidst financial inclusion in five fragile economies: Evidence from lens of environmental Kuznets curve," Energy, Elsevier, vol. 269(C).

  9. Di Iorio, Francesca & Fachin, Stefano, 2007. "Testing for Breaks in Cointegrated Panels - with an Application to the Feldstein-Horioka Puzzle," Economics Discussion Papers 2007-39, Kiel Institute for the World Economy (IfW Kiel).

    Cited by:

    1. Piotr Misztal, 2011. "The Feldstein-Horioka Hypothesis in Countries with Varied Levels of Economic Development," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 5(2), June.
    2. Rao, B. Bhaskara & Tamazian, Artur & Kumar, Saten, 2010. "Systems GMM estimates of the Feldstein-Horioka puzzle for the OECD countries and tests for structural breaks," Economic Modelling, Elsevier, vol. 27(5), pages 1269-1273, September.
    3. Mu-Shun Wang, 2013. "An Investigation of the Feldstein–Horioka Puzzle for the Association of Southeast Asian Nations Economies," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 46(4), pages 424-443, December.
    4. Drakos, Anastassios A. & Kouretas, Georgios P. & Stavroyiannis, Stavros & Zarangas, Leonidas, 2017. "Is the Feldstein-Horioka puzzle still with us? National saving-investment dynamics and international capital mobility: A panel data analysis across EU member countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 76-88.
    5. Kumar, Saten & Rao, B. Bhaskara, 2009. "A Time Series Approach to the Feldstein-Horioka Puzzle with Panel Data from the OECD Countries," MPRA Paper 18464, University Library of Munich, Germany.
    6. Kumar, Saten, 2015. "Regional integration, capital mobility and financial intermediation revisited: Application of general to specific method in panel data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 1-17.
    7. Saten Kumar & Rahul Sen & Sadhana Srivastava, 2014. "Does Economic Integration Stimulate Capital Mobility? An Analysis of Four Regional Economic Communities in Africa," Working Papers 2014-05, Auckland University of Technology, Department of Economics.
    8. Le, Thai-Ha & Chang, Youngho & Park, Donghyun, 2016. "Trade openness and environmental quality: International evidence," Energy Policy, Elsevier, vol. 92(C), pages 45-55.
    9. Holmes, Mark J. & Otero, Jesús, 2014. "Re-examining the Feldstein–Horioka and Sachs' views of capital mobility: A heterogeneous panel setup," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 1-11.
    10. Di Iorio, Francesca & Fachin, Stefano, 2012. "A note on the estimation of long-run relationships in panel equations with cross-section linkages," Economics Discussion Papers 2012-1, Kiel Institute for the World Economy (IfW Kiel).
    11. Naib ALAKBAROV & Yılmaz BAYAR, 2021. "International Financial Market Integration and The Feldstein–Horioka Puzzle: Evidence from Emerging Market Economies," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 143-165, December.
    12. Ketenci, Natalya, 2013. "The Feldstein–Horioka puzzle in groupings of OECD members: A panel approach," Research in Economics, Elsevier, vol. 67(1), pages 76-87.
    13. Thai-Ha Le & Youngho Chang & Donghyun Park, 2019. "Economic development and environmental sustainability: evidence from Asia," Empirical Economics, Springer, vol. 57(4), pages 1129-1156, October.

  10. Di Iorio, Francesca & Fachin, Stefano, 2007. "Cointegration testing in dependent panels with breaks," MPRA Paper 3139, University Library of Munich, Germany.

    Cited by:

    1. Piotr Misztal, 2011. "The Feldstein-Horioka Hypothesis in Countries with Varied Levels of Economic Development," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 5(2), June.
    2. Anindya Banerjee & Josep Lluís Carrion-i-Silvestre, 2006. "Cointegration in Panel Data with Breaks and Cross-Section Dependence," Economics Working Papers ECO2006/5, European University Institute.

  11. Di Iorio, Francesca & Fachin, Stefano, 2006. "Testing for breaks in cointegrated panels," MPRA Paper 3280, University Library of Munich, Germany.

    Cited by:

    1. Le, Thai-Ha & Chang, Youngho & Park, Donghyun, 2017. "Governance, vulnerability to climate change, and green growth: International evidence," Economics Discussion Papers 2017-16, Kiel Institute for the World Economy (IfW Kiel).
    2. Di Iorio, Francesca & Fachin, Stefano, 2012. "A note on the estimation of long-run relationships in panel equations with cross-section linkages," Economics Discussion Papers 2012-1, Kiel Institute for the World Economy (IfW Kiel).
    3. Ketenci, Natalya, 2013. "The Feldstein–Horioka puzzle in groupings of OECD members: A panel approach," Research in Economics, Elsevier, vol. 67(1), pages 76-87.
    4. Di Iorio, Francesca & Fachin, Stefano, 2008. "A note on the estimation of long-run relationships in dependent cointegrated panels," MPRA Paper 12053, University Library of Munich, Germany.
    5. Di Iorio, Francesca & Fachin, Stefano, 2007. "Testing for Breaks in Cointegrated Panels - with an Application to the Feldstein-Horioka Puzzle," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-23.

  12. Giorgio Calzolari & F. Di Iorio & G. Fiorentini, 1999. "Indirect Estimation of Just-Identified Models with Control Variates," Econometrics Working Papers Archive quaderno46, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

    Cited by:

    1. Giorgio Calzolari & Francesca Di Iorio & Gabriele Fiorentini, 2001. "Indirect inference and variance reduction using control variates," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 39-53.
    2. Calzolari, Giorgio & Magazzini, Laura & Mealli, Fabrizia, 2001. "Simulation-based estimation of Tobit model with random effects," MPRA Paper 22985, University Library of Munich, Germany, revised 2001.
    3. Di Iorio, Francesca & Calzolari, Giorgio, 2006. "Discontinuities in indirect estimation: An application to EAR models," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 2124-2136, April.
    4. Anna Gottard & Giorgio Calzolari, 2014. "Alternative estimating procedures for multiple membership logit models with mixed effects: indirect inference and data cloning," Econometrics Working Papers Archive 2014_07, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    5. Parrini, Alessandro, 2012. "Indirect estimation of GARCH models with alpha-stable innovations," MPRA Paper 38544, University Library of Munich, Germany.

  13. Gabriele Fiorentini & Francesca Di Iorio & Giorgio Calzolari, 1998. "- Control Variates For Variance Reduction In Indirect Inference: Interest Rate Models In Continuous Time," Working Papers. Serie AD 1998-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

    Cited by:

    1. Giorgio Calzolari, 2015. "Indirect estimation and econometrics exams: how to live a round life," Econometrics Working Papers Archive 2015_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    2. Giorgio Calzolari & F. Di Iorio & G. Fiorentini, 1999. "Indirect Estimation of Just-Identified Models with Control Variates," Econometrics Working Papers Archive quaderno46, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    3. Liesenfeld, Roman & Breitung, Jörg, 1998. "Simulation based methods of moments in empirical finance," Tübinger Diskussionsbeiträge 136, University of Tübingen, School of Business and Economics.
    4. Giorgio Calzolari & Francesca Di Iorio & Gabriele Fiorentini, 2001. "Indirect inference and variance reduction using control variates," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 39-53.
    5. Raknerud, Arvid & Skare, Øivind, 2012. "Indirect inference methods for stochastic volatility models based on non-Gaussian Ornstein–Uhlenbeck processes," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3260-3275.
    6. Di Iorio, Francesca & Calzolari, Giorgio, 2006. "Discontinuities in indirect estimation: An application to EAR models," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 2124-2136, April.
    7. Mealli, Fabrizia & Rampichini, Carla, 1999. "Estimating binary multilevel models through indirect inference," Computational Statistics & Data Analysis, Elsevier, vol. 29(3), pages 313-324, January.
    8. Anna Gottard & Giorgio Calzolari, 2014. "Alternative estimating procedures for multiple membership logit models with mixed effects: indirect inference and data cloning," Econometrics Working Papers Archive 2014_07, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    9. Fiorentini, Gabriele & Leon, Angel & Rubio, Gonzalo, 2002. "Estimation and empirical performance of Heston's stochastic volatility model: the case of a thinly traded market," Journal of Empirical Finance, Elsevier, vol. 9(2), pages 225-255, March.
    10. Enrique Sentana & Giorgio Calzolari & Gabriele Fiorentini, 2004. "Indirect Estimation of Conditionally Heteroskedastic Factor Models," Working Papers wp2004_0409, CEMFI.
    11. Giorgio Calzolari & F. Mealli & C. Rampichini, 2001. "Alternative Simulation-Based Estimators of Logit Models with Random Effects," Econometrics Working Papers Archive quaderno48, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

Articles

  1. Francesca Di Iorio & Stefano Fachin, 2022. "Fiscal reaction functions for the advanced economies revisited," Empirical Economics, Springer, vol. 62(6), pages 2865-2891, June.
    See citations under working paper version above.
  2. Carmela Cappelli & Francesca Iorio & Angela Maddaloni & Pierpaolo D’Urso, 2021. "Atheoretical Regression Trees for classifying risky financial institutions," Annals of Operations Research, Springer, vol. 299(1), pages 1357-1377, April.

    Cited by:

    1. Matteo Farnè & Angelos T. Vouldis, 2021. "Banks’ business models in the euro area: a cluster analysis in high dimensions," Annals of Operations Research, Springer, vol. 305(1), pages 23-57, October.

  3. Marchese, Malvina & Kyriakou, Ioannis & Tamvakis, Michael & Di Iorio, Francesca, 2020. "Forecasting crude oil and refined products volatilities and correlations: New evidence from fractionally integrated multivariate GARCH models," Energy Economics, Elsevier, vol. 88(C).

    Cited by:

    1. Xiaowen Wang & Ying Ma & Wen Li, 2021. "The Prediction of Gold Futures Prices at the Shanghai Futures Exchange Based on the MEEMD-CS-Elman Model," SAGE Open, , vol. 11(1), pages 21582440211, March.
    2. Zhuhua Jiang & Walid Mensi & Seong-Min Yoon, 2023. "Risks in Major Cryptocurrency Markets: Modeling the Dual Long Memory Property and Structural Breaks," Sustainability, MDPI, vol. 15(3), pages 1-15, January.
    3. Huang, Jionghao & Li, Ziruo & Xia, Xiaohua, 2021. "Network diffusion of international oil volatility risk in China's stock market: Quantile interconnectedness modelling and shock decomposition analysis," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 1-39.
    4. Liang, Xuedong & Luo, Peng & Li, Xiaoyan & Wang, Xia & Shu, Lingli, 2023. "Crude oil price prediction using deep reinforcement learning," Resources Policy, Elsevier, vol. 81(C).
    5. Lovcha, Yuliya & Perez-Laborda, Alejandro, 2022. "Long-memory and volatility spillovers across petroleum futures," Energy, Elsevier, vol. 243(C).
    6. Song, Yixuan & He, Mengxi & Wang, Yudong & Zhang, Yaojie, 2022. "Forecasting crude oil market volatility: A newspaper-based predictor regarding petroleum market volatility," Resources Policy, Elsevier, vol. 79(C).
    7. Guo, Xiaozhu & Huang, Yisu & Liang, Chao & Umar, Muhammad, 2022. "Forecasting volatility of EUA futures: New evidence," Energy Economics, Elsevier, vol. 110(C).
    8. Tong Liu & Yanlin Shi, 2022. "Forecasting Crude Oil Future Volatilities with a Threshold Zero-Drift GARCH Model," Mathematics, MDPI, vol. 10(15), pages 1-20, August.
    9. Bouteska, Ahmed & Hajek, Petr & Fisher, Ben & Abedin, Mohammad Zoynul, 2023. "Nonlinearity in forecasting energy commodity prices: Evidence from a focused time-delayed neural network," Research in International Business and Finance, Elsevier, vol. 64(C).

  4. Di Iorio, Francesca & Fachin, Stefano, 2018. "The Prebish–Singer hypothesis in the post-colonial era: Evidence from panel cointegration," Economics Letters, Elsevier, vol. 166(C), pages 86-89.
    See citations under working paper version above.
  5. Francesca Di Iorio & Stefano Fachin & Riccardo Lucchetti, 2016. "Can you do the wrong thing and still be right? Hypothesis testing in I(2) and near-I(2) cointegrated VARs," Applied Economics, Taylor & Francis Journals, vol. 48(38), pages 3665-3678, August.
    See citations under working paper version above.
  6. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    See citations under working paper version above.
  7. Di Iorio, Francesca & Triacca, Umberto, 2013. "Testing for Granger non-causality using the autoregressive metric," Economic Modelling, Elsevier, vol. 33(C), pages 120-125.

    Cited by:

    1. Smyth, Russell & Narayan, Paresh Kumar, 2015. "Applied econometrics and implications for energy economics research," Energy Economics, Elsevier, vol. 50(C), pages 351-358.
    2. Francesca Di Iorio & Umberto Triacca, 2022. "A comparison between VAR processes jointly modeling GDP and Unemployment rate in France and Germany," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(3), pages 617-635, September.
    3. Umberto Triacca, 2016. "Measuring the Distance between Sets of ARMA Models," Econometrics, MDPI, vol. 4(3), pages 1-11, July.
    4. Li, Haiqi & Zhong, Wanling & Park, Sung Y., 2016. "Generalized cross-spectral test for nonlinear Granger causality with applications to money–output and price–volume relations," Economic Modelling, Elsevier, vol. 52(PB), pages 661-671.
    5. Francesca Di Iorio & Umberto Triacca, 2014. "Testing for A Set of Linear Restrictions in VARMA Models Using Autoregressive Metric: An Application to Granger Causality Test," Econometrics, MDPI, vol. 2(4), pages 1-14, December.
    6. Yıldırım, Ertugrul & Sukruoglu, Deniz & Aslan, Alper, 2014. "Energy consumption and economic growth in the next 11 countries: The bootstrapped autoregressive metric causality approach," Energy Economics, Elsevier, vol. 44(C), pages 14-21.

  8. Di Iorio, Francesca & Fachin, Stefano, 2012. "A note on the estimation of long-run relationships in panel equations with cross-section linkages," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-18.
    See citations under working paper version above.
  9. Di Iorio, Francesca & Fachin, Stefano, 2012. "A simple sieve bootstrap range test for poolability in dependent cointegrated panels," Economics Letters, Elsevier, vol. 116(2), pages 154-156.

    Cited by:

    1. Syed Abul Basher & Stefano Fachin, 2014. "Investigating long-run demand for broad money in the Gulf Arab countries," Middle East Development Journal, Taylor & Francis Journals, vol. 6(2), pages 199-214, July.
    2. Mr. Serhan Cevik & Ms. Katerina Teksoz, 2014. "Deep Roots of Fiscal Behavior," IMF Working Papers 2014/045, International Monetary Fund.

  10. Francesca Di Iorio & Maria Iannario, 2012. "Residual diagnostics for interpreting CUB models," Statistica, Department of Statistics, University of Bologna, vol. 72(2), pages 163-172.

    Cited by:

    1. Gennaro Punzo & Rosalia Castellano & Mirko Buonocore, 2018. "Job Satisfaction in the “Big Four” of Europe: Reasoning Between Feeling and Uncertainty Through CUB Models," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(1), pages 205-236, August.
    2. Romina Gambacorta & Maria Iannario, 2012. "Statistical models for measuring job satisfaction," Temi di discussione (Economic working papers) 852, Bank of Italy, Economic Research and International Relations Area.

  11. Francesca Di Iorio & Stefano Fachin, 2009. "A residual-based bootstrap test for panel cointegration," Economics Bulletin, AccessEcon, vol. 29(4), pages 3222-3232.

    Cited by:

    1. Basher, Syed Abul & Elsamadisy, Elsayed Mousa, 2010. "Country Heterogeneity and Long-Run Determinants of Inflation in the Gulf Arab States," MPRA Paper 27348, University Library of Munich, Germany.
    2. Gabriel Bruneau & Kevin Moran, 2012. "Exchange Rate Fluctuations and Labour Market Adjustments in Canadian Manufacturing Industries," Cahiers de recherche 1227, CIRPEE.
    3. Smeekes, S. & Urbain, J.R.Y.J., 2014. "A multivariate invariance principle for modified wild bootstrap methods with an application to unit root testing," Research Memorandum 008, Maastricht University, Graduate School of Business and Economics (GSBE).
    4. Giuseppe Cavaliere & Dimitris N. Politis & Anders Rahbek & Stephan Smeekes, 2015. "Recent developments in bootstrap methods for dependent data," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(3), pages 398-415, May.

  12. Di Iorio, Francesca & Fachin, Stefano, 2007. "Testing for Breaks in Cointegrated Panels - with an Application to the Feldstein-Horioka Puzzle," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 1, pages 1-23.
    See citations under working paper version above.
  13. Di Iorio, Francesca & Calzolari, Giorgio, 2006. "Discontinuities in indirect estimation: An application to EAR models," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 2124-2136, April.

    Cited by:

    1. Frazier, David T. & Oka, Tatsushi & Zhu, Dan, 2019. "Indirect inference with a non-smooth criterion function," Journal of Econometrics, Elsevier, vol. 212(2), pages 623-645.
    2. Otranto, Edoardo & Calzolari, Giorgio & Di Iorio, Francesca, 2005. "Indirect estimation of Markov switching models with endogenous switching," MPRA Paper 22983, University Library of Munich, Germany, revised 2005.
    3. Anna Gottard & Giorgio Calzolari, 2014. "Alternative estimating procedures for multiple membership logit models with mixed effects: indirect inference and data cloning," Econometrics Working Papers Archive 2014_07, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

  14. Giorgio Calzolari & Francesca Di Iorio & Gabriele Fiorentini, 2001. "Indirect inference and variance reduction using control variates," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1-2), pages 39-53.

    Cited by:

    1. Di Iorio, Francesca & Calzolari, Giorgio, 2006. "Discontinuities in indirect estimation: An application to EAR models," Computational Statistics & Data Analysis, Elsevier, vol. 50(8), pages 2124-2136, April.

  15. Giorgio Calzolari & Francesca Di Iorio & Gabriele Fiorentini, 1998. "Control variates for variance reduction in indirect inference: Interest rate models in continuous time," Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages 100-112.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

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 17 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 (10) 2007-05-12 2007-05-26 2007-10-20 2008-12-14 2011-03-26 2011-08-09 2012-01-25 2013-12-06 2014-12-13 2017-03-19. Author is listed
  2. NEP-ETS: Econometric Time Series (9) 2007-05-12 2007-05-26 2007-10-20 2008-12-14 2011-03-26 2011-08-09 2012-01-25 2013-12-06 2014-12-13. Author is listed
  3. NEP-ORE: Operations Research (4) 2014-12-13 2017-03-19 2020-12-14 2021-09-20
  4. NEP-COM: Industrial Competition (2) 2018-07-09 2019-09-02
  5. NEP-MAC: Macroeconomics (2) 2014-12-13 2019-01-21
  6. NEP-AGE: Economics of Ageing (1) 2020-12-14
  7. NEP-AGR: Agricultural Economics (1) 2018-01-29
  8. NEP-BEC: Business Economics (1) 2019-09-02
  9. NEP-DCM: Discrete Choice Models (1) 2018-07-09
  10. NEP-EFF: Efficiency and Productivity (1) 2014-12-13
  11. NEP-ENT: Entrepreneurship (1) 2019-09-02
  12. NEP-EUR: Microeconomic European Issues (1) 2020-12-14
  13. NEP-FOR: Forecasting (1) 2020-12-14
  14. NEP-GEO: Economic Geography (1) 2021-10-11
  15. NEP-HIS: Business, Economic and Financial History (1) 2018-01-29
  16. NEP-IND: Industrial Organization (1) 2019-09-02
  17. NEP-ISF: Islamic Finance (1) 2021-09-20
  18. NEP-KNM: Knowledge Management and Knowledge Economy (1) 2018-07-09
  19. NEP-PKE: Post Keynesian Economics (1) 2018-01-29
  20. NEP-RMG: Risk Management (1) 2020-12-14
  21. NEP-SBM: Small Business Management (1) 2019-09-02
  22. NEP-TID: Technology and Industrial Dynamics (1) 2019-09-02
  23. NEP-URE: Urban and Real Estate Economics (1) 2021-10-11

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, Francesca Di Iorio 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. RePEc uses bibliographic data supplied by the respective publishers.