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Silvestro Di Sanzo

Personal Details

First Name:Silvestro
Middle Name:
Last Name:Di Sanzo
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RePEc Short-ID:pdi463
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https://sites.google.com/site/silviodisanzo/

Affiliation

Confcommercio

http://www.confcommercio.it/
Rome

Research output

as
Jump to: Working papers Articles

Working papers

  1. Fabio Busetti & Silvestro di Sanzo, 2011. "Bootstrap LR tests of stationarity, common trends and cointegration," Temi di discussione (Economic working papers) 799, Bank of Italy, Economic Research and International Relations Area.
  2. Silvestro Di Sanzo, 2007. "Forecasting Time Series with Long Memory and Level Shifts, A Bayesian Approach," Working Papers 2007_03, Department of Economics, University of Venice "Ca' Foscari".
  3. Silvestro Di Sanzo, 2006. "Output fluctuations persistence: Do cyclical shocks matter?," Working Papers 2006_21, Department of Economics, University of Venice "Ca' Foscari".
  4. Monica Billio & Silvestro Di Sanzo, 2006. "Granger-causality in Markov Switching Models," Working Papers 2006_20, Department of Economics, University of Venice "Ca' Foscari".
  5. Alicia Pérez Alon & Silvestro Di Sanzo, 2005. "Unemployment And Hysteresis: A Nonlinear Unobserved Components Approach," Working Papers. Serie AD 2005-34, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  6. Silvestro DI SANZO & Alicia PEREZ-ALONSO, "undated". "Unemployment and Hysteresis: A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Unobserved Components A," Working Papers wp2010-10, Department of the Treasury, Ministry of the Economy and of Finance.

Articles

  1. Silvestro Sanzo & Mariano Bella & Giovanni Graziano, 2017. "Tax Structure and Economic Growth: A Panel Cointegrated VAR Analysis," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(2), pages 239-253, July.
  2. Di Sanzo Silvestro & Bella Mariano, 2015. "Public debt and growth in the euro area: evidence from parametric and nonparametric Granger causality," The B.E. Journal of Macroeconomics, De Gruyter, vol. 15(2), pages 631-648, July.
  3. Monica Billio & Silvio Di Sanzo, 2015. "Granger-causality in Markov switching models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 956-966, May.
  4. Silvestro Di Sanzo, 2011. "Output Fluctuations Persistence: Do Cyclical Shocks Matter?," Bulletin of Economic Research, Wiley Blackwell, vol. 63(1), pages 28-52, January.
  5. Mariano Bella & Silvestro Di Sanzo, 2010. "Multi-factor Productivity and Added Value: A Macro-sectoral Analysis," Economia dei Servizi, Società editrice il Mulino, issue 3, pages 373-382.
  6. Pérez-Alonso Alicia & Di Sanzo Silvestro, 2010. "Unemployment and Hysteresis: A Nonlinear Unobserved Components Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(1), pages 1-29, December.
  7. Silvestro Di Sanzo, 2009. "Testing for linearity in Markov switching models: a bootstrap approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 153-168, July.

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. Silvestro Di Sanzo, 2007. "Forecasting Time Series with Long Memory and Level Shifts, A Bayesian Approach," Working Papers 2007_03, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Di Sanzo, Silvestro, 2018. "A Markov switching long memory model of crude oil price return volatility," Energy Economics, Elsevier, vol. 74(C), pages 351-359.

  2. Monica Billio & Silvestro Di Sanzo, 2006. "Granger-causality in Markov Switching Models," Working Papers 2006_20, Department of Economics, University of Venice "Ca' Foscari".

    Cited by:

    1. Dimitrios Bisias & Mark Flood & Andrew W. Lo & Stavros Valavanis, 2012. "A Survey of Systemic Risk Analytics," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 255-296, October.
    2. Monica Billio & Anna Petronevich, 2017. "Dynamical Interaction Between Financial and Business Cycles," Working Papers 2017:24, Department of Economics, University of Venice "Ca' Foscari".
    3. Billio, Monica & Casarin, Roberto & Osuntuyi, Anthony, 2018. "Markov switching GARCH models for Bayesian hedging on energy futures markets," Energy Economics, Elsevier, vol. 70(C), pages 545-562.
    4. Chevallier, Julien, 2012. "Global imbalances, cross-market linkages, and the financial crisis: A multivariate Markov-switching analysis," Economic Modelling, Elsevier, vol. 29(3), pages 943-973.
    5. Etesami, Jalal & Habibnia, Ali & Kiyavash, Negar, 2017. "Econometric modeling of systemic risk: going beyond pairwise comparison and allowing for nonlinearity," LSE Research Online Documents on Economics 70769, London School of Economics and Political Science, LSE Library.
    6. Marianna Oliskevych & Iryna Lukianenko, 2020. "European unemployment nonlinear dynamics over the business cycles: Markov switching approach," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 22(4), pages 375-401.
    7. Noel Gaston & Gulasekaran Rajaguru, 2015. "A Markov-switching structural vector autoregressive model of boom and bust in the Australian labour market," Empirical Economics, Springer, vol. 49(4), pages 1271-1299, December.

  3. Alicia Pérez Alon & Silvestro Di Sanzo, 2005. "Unemployment And Hysteresis: A Nonlinear Unobserved Components Approach," Working Papers. Serie AD 2005-34, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

    Cited by:

    1. Giorgio Canarella & Stephen M. Miller & Mahmoud M. Nourayi, 2012. "Firm Profitability: Mean-Reverting or Random-Walk Behavior?," Working Papers 1202, University of Nevada, Las Vegas , Department of Economics.
    2. Kurmaş Akdoğan, 2017. "Unemployment hysteresis and structural change in Europe," Empirical Economics, Springer, vol. 53(4), pages 1415-1440, December.
    3. Kostenko Elena & Kuznichenko Vladimir M. & Lapshyn Vladimir I., 2013. "Influence of external periodic and non-linear factors upon stability of economic systems," The Problems of Economy, RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), issue 2, pages 212-219.
    4. Congregado, Emilio & Golpe, Antonio A. & Parker, Simon C., 2009. "The Dynamics of Entrepreneurship: Hysteresis, Business Cycles and Government Policy," IZA Discussion Papers 4093, Institute of Labor Economics (IZA).
    5. Daouli, Joan & Demoussis, Michael & Giannakopoulos, Nicholas & Lambropoulou, Nikolitsa, 2015. "The ins and outs of Greek unemployment in the Great Depression," MPRA Paper 66299, University Library of Munich, Germany.
    6. Elisabeth Lopez-Perez & Ana Rodriguez-Santiago & Emilio Congregado, 2020. "Persistence in Self-Employment Rates before the Great Lockdown: The Case of the UK," Sustainability, MDPI, vol. 12(16), pages 1-13, August.
    7. Di Sanzo Silvestro & Bella Mariano, 2015. "Public debt and growth in the euro area: evidence from parametric and nonparametric Granger causality," The B.E. Journal of Macroeconomics, De Gruyter, vol. 15(2), pages 631-648, July.
    8. Omay, Tolga & Shahbaz, Muhammad & Stewart, Chris, 2021. "Is There Really Hysteresis in OECD Countries’ Unemployment Rates? New Evidence Using a Fourier Panel Unit Root Test," MPRA Paper 107691, University Library of Munich, Germany, revised 10 May 2021.
    9. Guodong Li & Bo Guan & Wai Keung Li & Philip L. H. Yu, 2015. "Hysteretic autoregressive time series models," Biometrika, Biometrika Trust, vol. 102(3), pages 717-723.
    10. MeiChi Huang, 2020. "A threshold unobserved components model of housing bubbles: timings and effectiveness of monetary policies," Empirical Economics, Springer, vol. 59(2), pages 887-908, August.
    11. Martina Janková & Veronika Novotná & Tereza Varyšová, 2013. "Functions of several variables analysis applied in inventory management," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(7), pages 2221-2227.
    12. Robert Calvert Jump & Engelbert Stockhammer, 2019. "Reconsidering the natural rate hypothesis," FMM Working Paper 45-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    13. Silvestro Sanzo & Mariano Bella & Giovanni Graziano, 2017. "Tax Structure and Economic Growth: A Panel Cointegrated VAR Analysis," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(2), pages 239-253, July.

  4. Silvestro DI SANZO & Alicia PEREZ-ALONSO, "undated". "Unemployment and Hysteresis: A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Unobserved Components A Nonlinear Unobserved Components A," Working Papers wp2010-10, Department of the Treasury, Ministry of the Economy and of Finance.

    Cited by:

    1. Elisabeth Lopez-Perez & Ana Rodriguez-Santiago & Emilio Congregado, 2020. "Persistence in Self-Employment Rates before the Great Lockdown: The Case of the UK," Sustainability, MDPI, vol. 12(16), pages 1-13, August.

Articles

  1. Silvestro Sanzo & Mariano Bella & Giovanni Graziano, 2017. "Tax Structure and Economic Growth: A Panel Cointegrated VAR Analysis," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 3(2), pages 239-253, July.

    Cited by:

    1. Donatella Baiardi & Paola Profeta & Riccardo Puglisi & Simona Scabrosetti, 2019. "Tax policy and economic growth: does it really matter?," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 26(2), pages 282-316, April.

  2. Di Sanzo Silvestro & Bella Mariano, 2015. "Public debt and growth in the euro area: evidence from parametric and nonparametric Granger causality," The B.E. Journal of Macroeconomics, De Gruyter, vol. 15(2), pages 631-648, July.

    Cited by:

    1. Vicente Esteve & Cecilio Tamarit, 2018. "Public debt and economic growth in Spain, 1851–2013," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 12(2), pages 219-249, May.
    2. Zhifang He & Fangzhao Zhou, 2018. "Time-varying and asymmetric effects of the oil-specific demand shock on investor sentiment," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.
    3. De Vita, Glauco & Trachanas, Emmanouil & Luo, Yun, 2018. "Revisiting the bi-directional causality between debt and growth: Evidence from linear and nonlinear tests," Journal of International Money and Finance, Elsevier, vol. 83(C), pages 55-74.
    4. Attard, Juergen, 2019. "Public Debt and Economic Growth nexus: A Dynamic Panel ARDL approach," MPRA Paper 96023, University Library of Munich, Germany.

  3. Monica Billio & Silvio Di Sanzo, 2015. "Granger-causality in Markov switching models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 956-966, May.
    See citations under working paper version above.
  4. Pérez-Alonso Alicia & Di Sanzo Silvestro, 2010. "Unemployment and Hysteresis: A Nonlinear Unobserved Components Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(1), pages 1-29, December.
    See citations under working paper version above.
  5. Silvestro Di Sanzo, 2009. "Testing for linearity in Markov switching models: a bootstrap approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 18(2), pages 153-168, July.

    Cited by:

    1. Jorge Andrés Tamayo Castaño, 2012. "Asimetrías en la demanda por trabajo en Colombia: el papel del ciclo económico," Borradores de Economia 9286, Banco de la Republica.
    2. Di Sanzo, Silvestro, 2018. "A Markov switching long memory model of crude oil price return volatility," Energy Economics, Elsevier, vol. 74(C), pages 351-359.
    3. Fabrizio Almeida Marodin & Marcelo Savino Portugal, 2019. "Exchange Rate Pass-Through in Brazil: À Markov Switching DSGE Estimation for the Inflation Targeting Period," Russian Journal of Money and Finance, Bank of Russia, vol. 78(1), pages 36-66, March.
    4. Maddalena Cavicchioli, 2015. "Likelihood Ratio Test and Information Criteria for Markov Switching Var Models: An Application to the Italian Macroeconomy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(3), pages 315-332, November.
    5. Gerson Nhapulo & João Nicolau, 2017. "Assessing Nonlinear Dynamics of Central Bank Reaction Function: The Case of Mozambique," South African Journal of Economics, Economic Society of South Africa, vol. 85(1), pages 28-51, March.
    6. Huang, Yu-Lieh, 2012. "Measuring business cycles: A temporal disaggregation model with regime switching," Economic Modelling, Elsevier, vol. 29(2), pages 283-290.
    7. Juan Urquiza, 2011. "Income Asymmetries and the Permanent Income Hypothesis," Documentos de Trabajo 409, Instituto de Economia. Pontificia Universidad Católica de Chile..
    8. Emrah Ismail Cevik & Durmuş Çağrı Yıldırım & Sel Dibooglu, 2021. "Renewable and non-renewable energy consumption and economic growth in the US: A Markov-Switching VAR analysis," Energy & Environment, , vol. 32(3), pages 519-541, May.
    9. Girardin, Eric & Salimi Namin, Fatemeh, 2019. "The January effect in the foreign exchange market: Evidence for seasonal equity carry trades," Economic Modelling, Elsevier, vol. 81(C), pages 422-439.
    10. Cavicchioli, Maddalena, 2023. "Statistical analysis of Markov switching vector autoregression models with endogenous explanatory variables," Journal of Multivariate Analysis, Elsevier, vol. 196(C).
    11. Monica Billio & Silvio Di Sanzo, 2015. "Granger-causality in Markov switching models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(5), pages 956-966, May.
    12. Andrea Beccarini, 2019. "Testing for the omission of relevant variables and regime-switching misspecification," Empirical Economics, Springer, vol. 56(3), pages 775-796, March.
    13. Tamayo Castaño, Jorge Andrés, 2012. "Asimetrías en la demanda por trabajo en Colombia : el papel del ciclo económico," Chapters, in: Arango-Thomas, Luis Eduardo & Hamann-Salcedo, Franz Alonso (ed.), El mercado de trabajo en Colombia : hechos, tendencias e instituciones, chapter 12, pages 487-542, Banco de la Republica de Colombia.
    14. Agnello, Luca & Castro, Vítor & Sousa, Ricardo M., 2012. "How does fiscal policy react to wealth composition and asset prices?," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 874-890.
    15. Balcılar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2015. "Regional and global spillovers and diversification opportunities in the GCC equity sectors," Emerging Markets Review, Elsevier, vol. 24(C), pages 160-187.
    16. Sinclair Tara M, 2009. "Asymmetry in the Business Cycle: Friedman's Plucking Model with Correlated Innovations," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-31, December.
    17. ZHENG, Tingguo & WANG, Xia & GUO, Huiming, 2012. "Estimating forward-looking rules for China's Monetary Policy: A regime-switching perspective," China Economic Review, Elsevier, vol. 23(1), pages 47-59.
    18. Jeremy Schwartz, 2012. "Labor market dynamics over the business cycle: evidence from Markov switching models," Empirical Economics, Springer, vol. 43(1), pages 271-289, August.
    19. Luca Agnello & Gilles Dufrénot & Ricardo M. Sousa, 2012. "Adjusting the U.S. Fiscal Policy for Asset Prices: Evidence from a TVP-MS Framework," NIPE Working Papers 20/2012, NIPE - Universidade do Minho.
    20. Emrah Çevik & Erdal Atukeren & Turhan Korkmaz, 2013. "Nonlinearity and nonstationarity in international art market prices: evidence from Markov-switching ADF unit root tests," Empirical Economics, Springer, vol. 45(2), pages 675-695, October.

More information

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Statistics

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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 3 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 (3) 2006-02-05 2008-02-09 2011-07-13
  2. NEP-ETS: Econometric Time Series (2) 2008-02-09 2011-07-13
  3. NEP-FOR: Forecasting (1) 2008-02-09
  4. NEP-ICT: Information and Communication Technologies (1) 2008-02-09
  5. NEP-MAC: Macroeconomics (1) 2006-02-05
  6. NEP-ORE: Operations Research (1) 2008-02-09

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