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Davide Raggi

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. Davide Dragone & Davide Raggi, 2020. "Solving the Milk Addiction Paradox," Working Papers wp1144, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Davide Dragone & Davide Raggi, 2020. "Solving the Milk Addiction Paradox," Working Papers wp1144, Dipartimento Scienze Economiche, Universita' di Bologna.

  2. D. Dragone & D. Raggi, 2018. "Testing Rational Addiction: When Lifetime is Uncertain, One Lag is Enough," Working Papers wp1119, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Davide Dragone & Davide Raggi, 2020. "Solving the Milk Addiction Paradox," Working Papers wp1144, Dipartimento Scienze Economiche, Universita' di Bologna.

  3. F. Barigozzi & N. Burani & D. Raggi, 2013. "The Lemons Problem in a Labor Market with Intrinsic Motivation. When Higher Salaries Pay Worse Workers," Working Papers wp883, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Fabio Lamantia & Mario Pezzino, 2014. "Evolutionary efficacy of a Pay for Performance scheme with motivated agents," Economics Discussion Paper Series 1408, Economics, The University of Manchester.
    2. F. Barigozzi & N. Burani, 2014. "Competition and Screening with Skilled and Motivated Workers," Working Papers wp953, Dipartimento Scienze Economiche, Universita' di Bologna.

  4. Barigozzi, Francesca & Raggi, Davide, 2013. "The Lemons Problem in a Labor Market with Intrinsic Motivation," AICCON Working Papers 123-2013, Associazione Italiana per la Cultura della Cooperazione e del Non Profit.

    Cited by:

    1. Fabio Lamantia & Mario Pezzino, 2014. "Evolutionary efficacy of a Pay for Performance scheme with motivated agents," Economics Discussion Paper Series 1408, Economics, The University of Manchester.
    2. F. Barigozzi & N. Burani, 2014. "Competition and Screening with Skilled and Motivated Workers," Working Papers wp953, Dipartimento Scienze Economiche, Universita' di Bologna.

  5. Renzo Orsi & Davide Raggi & Francesco Turino, 2013. "Online Appendix to "Size, Trend, and Policy Implications of the Underground Economy"," Online Appendices 12-217, Review of Economic Dynamics.

    Cited by:

    1. Andreev A.S. & Andreeva O.V. & Bondareva G.V. & Osyak V.V., 2018. "Understanding the Underground Economy," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 814-822.
    2. Langot, François & Merola, Rossana & Oh, Samil, 2022. "Can taxes help ensure a fair globalization?," International Economics, Elsevier, vol. 171(C), pages 191-213.
    3. Emilio Colombo & Davide Furceri & Pietro Pizzuto & Patrizio Tirelli, 2022. "Fiscal Multipliers and Informality," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis2201, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
    4. Fernández-Bastidas, Rocío, 2023. "Entrepreneurship and tax evasion," Economic Modelling, Elsevier, vol. 128(C).
    5. Eun Young Oh & Shuonan Zhang, 2020. "Informal economy and central bank digital currency," Working Papers in Economics & Finance 2020-11, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group, revised 23 Jun 2022.
    6. Mbara, Gilbert & Tyrowicz, Joanna & Kokoszczynski, Ryszard, 2020. "Striking a balance: Optimal tax policy with labor market duality," Journal of Macroeconomics, Elsevier, vol. 66(C).
    7. Daniel Němec & Eva Kotlánová & Igor Kotlán & Zuzana Machová, 2021. "Corruption, Taxation and the Impact on the Shadow Economy," Economies, MDPI, vol. 9(1), pages 1-16, February.
    8. Raffaella Basile & Bruno Chiarini & Giovanni Luca & Elisabetta Marzano, 2016. "Fiscal multipliers and unreported production: evidence for Italy," Empirical Economics, Springer, vol. 51(3), pages 877-896, November.
    9. Wolfgang Maennig & Stefan Wilhelm, 2022. "News and Noise in Crime Politics: The Role of Announcements and Risk Attitudes," Working Papers 072, Chair for Economic Policy, University of Hamburg.
    10. Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021. "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," CIRANO Working Papers 2021s-33, CIRANO.
    11. Di Nola Alessandro & Kocharkov Georgi & Vasilev Aleksandar, 2019. "Envelope wages, hidden production and labor productivity," The B.E. Journal of Macroeconomics, De Gruyter, vol. 19(2), pages 1-30, June.
    12. Capasso,Salvatore & Ohnsorge,Franziska Lieselotte & Shu Yu, 2022. "From Financial Development to Informality : A Causal Link," Policy Research Working Paper Series 10192, The World Bank.
    13. Sergei Guriev & Biagio Speciale & Michele Tuccio, 2019. "How do Regulated and Unregulated Labor Markets Respond to Shocks? Evidence from Immigrants During the Great Recession," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 35(1), pages 37-76.
    14. Ceyhun Elgin, 2020. "Shadow Economies Around the World: Evidence from Metropolitan Areas," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 46(2), pages 301-322, April.
    15. Marcos Takanohashi & Marcel Ribeiro & Friedrich Schneider, 2023. "The Impact of Inequality on the Informal Economy in Latin America and the Caribbean with a MIMIC Model," CESifo Working Paper Series 10461, CESifo.
    16. Pappa, Evi & Sajedi, Rana & Vella, Eugenia, 2015. "Fiscal consolidation with tax evasion and corruption," Journal of International Economics, Elsevier, vol. 96(S1), pages 56-75.
    17. Aleksandar Vasilev, 2018. "Is consumption-Laffer curve hump-shaped? The VAT evasion channel," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 45(3), pages 598-609, August.
    18. Roberto Leombruni & Tiziano Razzolini & Francesco Serti, 2019. "Macroeconomic Conditions at Entry and Injury Risk in the Workplace," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(2), pages 783-807, April.
    19. Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2023. "Labor Market Institutions, Productivity, and the Business Cycle: An Application to Italy," Cahiers de recherche / Working Papers 2302, Chaire de recherche sur les enjeux économiques intergénérationnels / Research Chair in Intergenerational Economics.
    20. Maria Ferrara & Elisabetta Marzano & Monica Varlese, 2022. "Fiscal Consolidation Plans with Underground Economy," CESifo Working Paper Series 9622, CESifo.
    21. Barbara Annicchiarico & Claudio Cesaroni, 2016. "Tax Reforms and the Underground Economy: A Simulation-Based Analysis," CEIS Research Paper 366, Tor Vergata University, CEIS, revised 10 Feb 2016.
    22. Daniel Němec & Zuzana Machová & Igor Kotlán & Eva Kotlánová & Christiana Kliková, 2022. "Corruption in Public Administration as a Brake on Transition to Industry 4.0," SAGE Open, , vol. 12(1), pages 21582440221, March.
    23. Glenn Abela & Tiziana Gauci & Noel Rapa, 2022. "An Analysis of The Shadow Economy in Malta: A Currency Demand and MIMIC Model Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 12(1), pages 41-50.
    24. Solis-Garcia, Mario & Xie, Yingtong, 2017. "Measuring the size of the shadow economy using a dynamic general equilibrium model with trends," MPRA Paper 81753, University Library of Munich, Germany, revised 01 Oct 2017.
    25. Yépez, Carlos A., 2019. "Informality and international business cycles," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 252-263.
    26. Bruno Chiarini & Maria Ferrara & Elisabetta Marzano, 2016. "Investment Shocks, Tax Evasion and the Consumption Puzzle: A DSGE Analysis with Financial Frictions," CESifo Working Paper Series 6015, CESifo.
    27. Agustín Arias & Juan Guerra-Salas, 2019. "Immigration in Emerging Countries: A Macroeconomic Perspective," Working Papers Central Bank of Chile 857, Central Bank of Chile.
    28. Buček Jakub, 2017. "Determinants of the Shadow Economy in the Czech Regions: A Region-Level Study," Review of Economic Perspectives, Sciendo, vol. 17(3), pages 315-329, September.
    29. Marshall, Emily C. & Saunoris, James & Solis-Garcia, Mario & Do, Trang, 2023. "Measuring the size and dynamics of U.S. state-level shadow economies using a dynamic general equilibrium model with trends," Journal of Macroeconomics, Elsevier, vol. 75(C).
    30. Ceyhun Elgin & Ferda Erturk, 2019. "Informal economies around the world: measures, determinants and consequences," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 221-237, June.
    31. Igor Kotlán & Daniel Němec & Eva Kotlánová & Petr Skalka & Rudolf Macek & Zuzana Machová, 2021. "European Green Deal: Environmental Taxation and Its Sustainability in Conditions of High Levels of Corruption," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    32. Garín, Julio & Lastrapes, William D. & Lester, Robert, 2021. "On the welfare effects of phasing out paper currency," European Economic Review, Elsevier, vol. 137(C).
    33. Chiarini, Bruno & Ferrara, Maria & Marzano, Elisabetta, 2022. "Tax evasion and financial accelerator: A corporate sector analysis for the US business cycle," Economic Modelling, Elsevier, vol. 108(C).
    34. Pu Liao & Xianhua Zhou & Qingquan Fan, 2020. "Does agricultural insurance help farmers escape the poverty trap? Research based on multiple equilibrium models," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 203-223, January.
    35. Bruno Chiarini & Maria Ferrara & Elisabetta Marzano, 2018. "Credit Channel and Business Cycle: The Role of Tax Evasion," CESifo Working Paper Series 7169, CESifo.
    36. Hailin Chen & Friedrich Schneider & Qunli Sun, 2020. "Measuring the size of the shadow economy in 30 provinces of China over 1995–2016: The MIMIC approach," Pacific Economic Review, Wiley Blackwell, vol. 25(3), pages 427-453, August.
    37. Abdullah Bin Zafar & Tanvir Ahmed Tuhin, 2024. "An Ordinary Least Squares Approach Measuring the Impact of Factors Affecting the Underground Economy of Bangladesh and Their Implications in the Context of the Country’s Supply Chain," International Journal of Science and Business, IJSAB International, vol. 34(1), pages 92-107.
    38. Herranz, Moisés Meroño & Turino, Francesco, 2023. "Tax evasion, fiscal policy and public debt: Evidence from Spain," Economic Systems, Elsevier, vol. 47(3).
    39. Florencia Amábile & Rómulo A. Chumacero, 2023. "Should I stay or should I go?: the economic incentives of intergenerational taxes and transfers in Uruguay," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(2), pages 493-524, April.

  6. R. Orsi & D. Raggi & F. Turino, 2012. "Size, Trend, and Policy Implications of the Underground Economy," Working Papers wp818, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Andreev A.S. & Andreeva O.V. & Bondareva G.V. & Osyak V.V., 2018. "Understanding the Underground Economy," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 814-822.
    2. Langot, François & Merola, Rossana & Oh, Samil, 2022. "Can taxes help ensure a fair globalization?," International Economics, Elsevier, vol. 171(C), pages 191-213.
    3. Emilio Colombo & Davide Furceri & Pietro Pizzuto & Patrizio Tirelli, 2022. "Fiscal Multipliers and Informality," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis2201, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
    4. Fernández-Bastidas, Rocío, 2023. "Entrepreneurship and tax evasion," Economic Modelling, Elsevier, vol. 128(C).
    5. Eun Young Oh & Shuonan Zhang, 2020. "Informal economy and central bank digital currency," Working Papers in Economics & Finance 2020-11, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group, revised 23 Jun 2022.
    6. Mbara, Gilbert & Tyrowicz, Joanna & Kokoszczynski, Ryszard, 2020. "Striking a balance: Optimal tax policy with labor market duality," Journal of Macroeconomics, Elsevier, vol. 66(C).
    7. Daniel Němec & Eva Kotlánová & Igor Kotlán & Zuzana Machová, 2021. "Corruption, Taxation and the Impact on the Shadow Economy," Economies, MDPI, vol. 9(1), pages 1-16, February.
    8. Afonso, Oscar & Neves, Pedro Cunha & Pinto, Tiago, 2020. "The non-observed economy and economic growth: A meta-analysis," Economic Systems, Elsevier, vol. 44(1).
    9. Raffaella Basile & Bruno Chiarini & Giovanni Luca & Elisabetta Marzano, 2016. "Fiscal multipliers and unreported production: evidence for Italy," Empirical Economics, Springer, vol. 51(3), pages 877-896, November.
    10. Wolfgang Maennig & Stefan Wilhelm, 2022. "News and Noise in Crime Politics: The Role of Announcements and Risk Attitudes," Working Papers 072, Chair for Economic Policy, University of Hamburg.
    11. Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2021. "Italian Labour Frictions and Wage Rigidities in an Estimated DSGE," CIRANO Working Papers 2021s-33, CIRANO.
    12. Di Nola Alessandro & Kocharkov Georgi & Vasilev Aleksandar, 2019. "Envelope wages, hidden production and labor productivity," The B.E. Journal of Macroeconomics, De Gruyter, vol. 19(2), pages 1-30, June.
    13. Capasso,Salvatore & Ohnsorge,Franziska Lieselotte & Shu Yu, 2022. "From Financial Development to Informality : A Causal Link," Policy Research Working Paper Series 10192, The World Bank.
    14. Sergei Guriev & Biagio Speciale & Michele Tuccio, 2019. "How do Regulated and Unregulated Labor Markets Respond to Shocks? Evidence from Immigrants During the Great Recession," The Journal of Law, Economics, and Organization, Oxford University Press, vol. 35(1), pages 37-76.
    15. Gerasimos T. Soldatos, 2018. "Multiplier–Accelerator Interaction in the Presence of an Underground Economy and Taxation," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 12(2), pages 244-256, May.
    16. Brunela Trebicka, 2014. "Mimic Model: A Tool to Estimate the Shadow Economy," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 3, November.
    17. Ceyhun Elgin, 2020. "Shadow Economies Around the World: Evidence from Metropolitan Areas," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 46(2), pages 301-322, April.
    18. Marcos Takanohashi & Marcel Ribeiro & Friedrich Schneider, 2023. "The Impact of Inequality on the Informal Economy in Latin America and the Caribbean with a MIMIC Model," CESifo Working Paper Series 10461, CESifo.
    19. Pappa, Evi & Sajedi, Rana & Vella, Eugenia, 2015. "Fiscal consolidation with tax evasion and corruption," Journal of International Economics, Elsevier, vol. 96(S1), pages 56-75.
    20. Aleksandar Vasilev, 2018. "Is consumption-Laffer curve hump-shaped? The VAT evasion channel," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 45(3), pages 598-609, August.
    21. Roberto Leombruni & Tiziano Razzolini & Francesco Serti, 2019. "Macroeconomic Conditions at Entry and Injury Risk in the Workplace," Scandinavian Journal of Economics, Wiley Blackwell, vol. 121(2), pages 783-807, April.
    22. Josué Diwambuena & Raquel Fonseca & Stefan Schubert, 2023. "Labor Market Institutions, Productivity, and the Business Cycle: An Application to Italy," Cahiers de recherche / Working Papers 2302, Chaire de recherche sur les enjeux économiques intergénérationnels / Research Chair in Intergenerational Economics.
    23. Maria Ferrara & Elisabetta Marzano & Monica Varlese, 2022. "Fiscal Consolidation Plans with Underground Economy," CESifo Working Paper Series 9622, CESifo.
    24. Amedeo Argentiero & Carlo Andrea BOLLINO, 2013. "The Mmeasurement of Underground Economy: A Dynamic-Simulation Based Approach," Quaderni del Dipartimento di Economia, Finanza e Statistica 123/2013, Università di Perugia, Dipartimento Economia.
    25. Barbara Annicchiarico & Claudio Cesaroni, 2016. "Tax Reforms and the Underground Economy: A Simulation-Based Analysis," CEIS Research Paper 366, Tor Vergata University, CEIS, revised 10 Feb 2016.
    26. Daniel Němec & Zuzana Machová & Igor Kotlán & Eva Kotlánová & Christiana Kliková, 2022. "Corruption in Public Administration as a Brake on Transition to Industry 4.0," SAGE Open, , vol. 12(1), pages 21582440221, March.
    27. Glenn Abela & Tiziana Gauci & Noel Rapa, 2022. "An Analysis of The Shadow Economy in Malta: A Currency Demand and MIMIC Model Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 12(1), pages 41-50.
    28. Solis-Garcia, Mario & Xie, Yingtong, 2017. "Measuring the size of the shadow economy using a dynamic general equilibrium model with trends," MPRA Paper 81753, University Library of Munich, Germany, revised 01 Oct 2017.
    29. Yépez, Carlos A., 2019. "Informality and international business cycles," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 252-263.
    30. Bruno Chiarini & Maria Ferrara & Elisabetta Marzano, 2016. "Investment Shocks, Tax Evasion and the Consumption Puzzle: A DSGE Analysis with Financial Frictions," CESifo Working Paper Series 6015, CESifo.
    31. Agustín Arias & Juan Guerra-Salas, 2019. "Immigration in Emerging Countries: A Macroeconomic Perspective," Working Papers Central Bank of Chile 857, Central Bank of Chile.
    32. Alejandro Forcades, 2019. "The optimal tax mix with underground labor," Economics Bulletin, AccessEcon, vol. 39(1), pages 214-222.
    33. Buček Jakub, 2017. "Determinants of the Shadow Economy in the Czech Regions: A Region-Level Study," Review of Economic Perspectives, Sciendo, vol. 17(3), pages 315-329, September.
    34. Marshall, Emily C. & Saunoris, James & Solis-Garcia, Mario & Do, Trang, 2023. "Measuring the size and dynamics of U.S. state-level shadow economies using a dynamic general equilibrium model with trends," Journal of Macroeconomics, Elsevier, vol. 75(C).
    35. Ceyhun Elgin & Ferda Erturk, 2019. "Informal economies around the world: measures, determinants and consequences," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 221-237, June.
    36. Igor Kotlán & Daniel Němec & Eva Kotlánová & Petr Skalka & Rudolf Macek & Zuzana Machová, 2021. "European Green Deal: Environmental Taxation and Its Sustainability in Conditions of High Levels of Corruption," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    37. Garín, Julio & Lastrapes, William D. & Lester, Robert, 2021. "On the welfare effects of phasing out paper currency," European Economic Review, Elsevier, vol. 137(C).
    38. Chiarini, Bruno & Ferrara, Maria & Marzano, Elisabetta, 2022. "Tax evasion and financial accelerator: A corporate sector analysis for the US business cycle," Economic Modelling, Elsevier, vol. 108(C).
    39. Pu Liao & Xianhua Zhou & Qingquan Fan, 2020. "Does agricultural insurance help farmers escape the poverty trap? Research based on multiple equilibrium models," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(1), pages 203-223, January.
    40. Bruno Chiarini & Maria Ferrara & Elisabetta Marzano, 2018. "Credit Channel and Business Cycle: The Role of Tax Evasion," CESifo Working Paper Series 7169, CESifo.
    41. Ruta Baneliene & Borisas Melnikas, 2019. "The Shadow Economy In The Eastern Partnership Countries: Modelling And Estimating In The Context Of The Needs To Develop Economic Cooperation Between The European Union And Eastern Partnership Countri," International Journal of Economic Sciences, International Institute of Social and Economic Sciences, vol. 8(1), pages 1-19, June.
    42. Hailin Chen & Friedrich Schneider & Qunli Sun, 2020. "Measuring the size of the shadow economy in 30 provinces of China over 1995–2016: The MIMIC approach," Pacific Economic Review, Wiley Blackwell, vol. 25(3), pages 427-453, August.
    43. Abdullah Bin Zafar & Tanvir Ahmed Tuhin, 2024. "An Ordinary Least Squares Approach Measuring the Impact of Factors Affecting the Underground Economy of Bangladesh and Their Implications in the Context of the Country’s Supply Chain," International Journal of Science and Business, IJSAB International, vol. 34(1), pages 92-107.
    44. Herranz, Moisés Meroño & Turino, Francesco, 2023. "Tax evasion, fiscal policy and public debt: Evidence from Spain," Economic Systems, Elsevier, vol. 47(3).
    45. Florencia Amábile & Rómulo A. Chumacero, 2023. "Should I stay or should I go?: the economic incentives of intergenerational taxes and transfers in Uruguay," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 30(2), pages 493-524, April.

  7. E. Castelnuovo & L. Greco & D. Raggi, 2010. "Policy Rules, Regime Switches, and Trend Inflation: An Empirical Investigation for the U.S," Working Papers 691, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Efrem Castelnuovo, 2019. "Yield curve and financial uncertainty: Evidence based on US data," CAMA Working Papers 2019-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Max Gillman & Michal Kejak & Giulia Ghiani, 2014. "Money, Banking and Interest Rates: Monetary Policy Regimes with Markov-Switching VECM Evidence," CEU Working Papers 2014_3, Department of Economics, Central European University.
    3. Guido Ascari & Paolo Bonomolo Hedibert F. Lopes, 2016. "Rational Sunspots," Economics Series Working Papers 787, University of Oxford, Department of Economics.
    4. De Lipsis Vincenzo, 2021. "Dating Structural Changes in UK Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(2), pages 509-539, June.
    5. Luis Uzeda, 2018. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Staff Working Papers 18-14, Bank of Canada.
    6. Qazi Haque, 2017. "Monetary Policy, Inflation Target and the Great Moderation: An Empirical Investigation," School of Economics and Public Policy Working Papers 2017-13, University of Adelaide, School of Economics and Public Policy.
    7. Qazi Haque, 2017. "Monetary Policy, Target Inflation and the Great Moderation: An Empirical Investigation," School of Economics and Public Policy Working Papers 2017-10, University of Adelaide, School of Economics and Public Policy.

  8. S. Bordignon & D. Raggi, 2010. "Long memory and nonlinearities in realized volatility: a Markov switching approach," Working Papers 694, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Claudio Morana, 2014. "Factor Vector Autoregressive Estimation of Heteroskedastic Persistent and Non Persistent Processes Subject to Structural Breaks," Working Papers 273, University of Milano-Bicocca, Department of Economics, revised May 2014.
    2. Zargar, Faisal Nazir & Kumar, Dilip, 2020. "Modeling unbiased extreme value volatility estimator in presence of heterogeneity and jumps: A study with economic significance analysis," International Review of Economics & Finance, Elsevier, vol. 67(C), pages 25-41.
    3. Driton Kuçi, 2015. "Contemporary Models of Organization of Power and the Macedonian Model of Organization of Power," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 1, September.
    4. Duan, Yinying & Chen, Wang & Zeng, Qing & Liu, Zhicao, 2018. "Leverage effect, economic policy uncertainty and realized volatility with regime switching," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 493(C), pages 148-154.
    5. S. Bordignon & D. Raggi, 2008. "Volatility, Jumps and Predictability of Returns: a Sequential Analysis," Working Papers 636, Dipartimento Scienze Economiche, Universita' di Bologna.
    6. Nima Nonejad, 2013. "Time-Consistency Problem and the Behavior of US Inflation from 1970 to 2008," CREATES Research Papers 2013-25, Department of Economics and Business Economics, Aarhus University.
    7. Tian, Fengping & Yang, Ke & Chen, Langnan, 2017. "Realized volatility forecasting of agricultural commodity futures using the HAR model with time-varying sparsity," International Journal of Forecasting, Elsevier, vol. 33(1), pages 132-152.
    8. Nima Nonejad, 2019. "Modeling Persistence and Parameter Instability in Historical Crude Oil Price Data Using a Gibbs Sampling Approach," Computational Economics, Springer;Society for Computational Economics, vol. 53(4), pages 1687-1710, April.
    9. Hwang, Eunju & Shin, Dong Wan, 2014. "Infinite-order, long-memory heterogeneous autoregressive models," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 339-358.
    10. Nonejad, Nima, 2017. "Forecasting aggregate stock market volatility using financial and macroeconomic predictors: Which models forecast best, when and why?," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 131-154.
    11. Yusui Tang & Feng Ma & Yaojie Zhang & Yu Wei, 2022. "Forecasting the oil price realized volatility: A multivariate heterogeneous autoregressive model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4770-4783, October.
    12. Luo, Jiawen & Klein, Tony & Ji, Qiang & Hou, Chenghan, 2022. "Forecasting realized volatility of agricultural commodity futures with infinite Hidden Markov HAR models," International Journal of Forecasting, Elsevier, vol. 38(1), pages 51-73.
    13. Shi, Yanlin & Ho, Kin-Yip, 2015. "Long memory and regime switching: A simulation study on the Markov regime-switching ARFIMA model," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 189-204.
    14. Massimiliano Caporin & Eduardo Rossi & Paolo Santucci de Magistris, 2011. "Conditional jumps in volatility and their economic determinants," "Marco Fanno" Working Papers 0138, Dipartimento di Scienze Economiche "Marco Fanno".
    15. Phillip, Andrew & Chan, Jennifer & Peiris, Shelton, 2019. "On long memory effects in the volatility measure of Cryptocurrencies," Finance Research Letters, Elsevier, vol. 28(C), pages 95-100.
    16. Stefano Grassi & Paolo Santucci de Magistris, 2013. "It’s all about volatility (of volatility): evidence from a two-factor stochastic volatility model," CREATES Research Papers 2013-03, Department of Economics and Business Economics, Aarhus University.
    17. Tang, Yusui & Ma, Feng, 2023. "The volatility of natural resources implications for sustainable development: Crude oil volatility prediction based on the multivariate structural regime switching," Resources Policy, Elsevier, vol. 83(C).
    18. Nonejad Nima, 2015. "Particle Gibbs with ancestor sampling for stochastic volatility models with: heavy tails, in mean effects, leverage, serial dependence and structural breaks," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(5), pages 561-584, December.
    19. Luo, Jiawen & Demirer, Riza & Gupta, Rangan & Ji, Qiang, 2022. "Forecasting oil and gold volatilities with sentiment indicators under structural breaks," Energy Economics, Elsevier, vol. 105(C).
    20. Yu, Miao & Song, Jinguo, 2018. "Volatility forecasting: Global economic policy uncertainty and regime switching," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 511(C), pages 316-323.
    21. Hui Qu & Mengying He, 2022. "Predicting Volatility Based on Interval Regression Models," JRFM, MDPI, vol. 15(12), pages 1-21, November.
    22. Shinichiro Shirota & Takayuki Hizu & Yasuhiro Omori, 2013. "Realized Stochastic Volatility with Leverage and Long Memory," CIRJE F-Series CIRJE-F-880, CIRJE, Faculty of Economics, University of Tokyo.
    23. Zhang, Yaojie & Lei, Likun & Wei, Yu, 2020. "Forecasting the Chinese stock market volatility with international market volatilities: The role of regime switching," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    24. Vortelinos, Dimitrios I., 2015. "Out-of-sample evaluation of macro announcements, linearity, long memory, heterogeneity and jumps in mini-futures markets," Review of Financial Economics, Elsevier, vol. 27(C), pages 58-67.
    25. Nima Nonejad, 2019. "Has the 2008 financial crisis and its aftermath changed the impact of inflation on inflation uncertainty in member states of the european monetary union?," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(2), pages 246-276, May.
    26. Guglielmo Maria Caporale & Luis A. Gil-Alana & Carlos Poza, 2020. "Inflation in the G7 Countries: Persistence and Structural Breaks," CESifo Working Paper Series 8349, CESifo.
    27. Nonejad, Nima, 2014. "Particle Gibbs with Ancestor Sampling Methods for Unobserved Component Time Series Models with Heavy Tails, Serial Dependence and Structural Breaks," MPRA Paper 55664, University Library of Munich, Germany.
    28. Hardik A. Marfatia & Qiang Ji & Jiawen Luo, 2022. "Forecasting the volatility of agricultural commodity futures: The role of co‐volatility and oil volatility," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(2), pages 383-404, March.
    29. Dimitrios I. Vortelinos, 2015. "Out‐of‐sample evaluation of macro announcements, linearity, long memory, heterogeneity and jumps in mini‐futures markets," Review of Financial Economics, John Wiley & Sons, vol. 27(1), pages 58-67, November.
    30. Bissoondoyal-Bheenick, Emawtee & Brooks, Robert & Do, Hung Xuan & Smyth, Russell, 2020. "Exploiting the heteroskedasticity in measurement error to improve volatility predictions in oil and biofuel feedstock markets," Energy Economics, Elsevier, vol. 86(C).
    31. Qian, Lihua & Zeng, Qing & Li, Tao, 2022. "Geopolitical risk and oil price volatility: Evidence from Markov-switching model," International Review of Economics & Finance, Elsevier, vol. 81(C), pages 29-38.
    32. Yaojie Zhang & Yudong Wang & Feng Ma, 2021. "Forecasting US stock market volatility: How to use international volatility information," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 733-768, August.
    33. Nima Nonejad, 2013. "Long Memory and Structural Breaks in Realized Volatility: An Irreversible Markov Switching Approach," CREATES Research Papers 2013-26, Department of Economics and Business Economics, Aarhus University.
    34. Giampiero M. Gallo & Edoardo Otranto, 2014. "Forecasting Realized Volatility with Changes of Regimes," Econometrics Working Papers Archive 2014_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Feb 2014.
    35. Grassi, Stefano & Santucci de Magistris, Paolo, 2014. "When long memory meets the Kalman filter: A comparative study," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 301-319.
    36. Yaojie Zhang & Feng Ma & Chao Liang & Yi Zhang, 2021. "Good variance, bad variance, and stock return predictability," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4410-4423, July.
    37. Gao, Guangyuan & Ho, Kin-Yip & Shi, Yanlin, 2020. "Long memory or regime switching in volatility? Evidence from high-frequency returns on the U.S. stock indices," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    38. Liu, Yuanyuan & Niu, Zibo & Suleman, Muhammad Tahir & Yin, Libo & Zhang, Hongwei, 2022. "Forecasting the volatility of crude oil futures: The role of oil investor attention and its regime switching characteristics under a high-frequency framework," Energy, Elsevier, vol. 238(PA).
    39. Gallo, Giampiero M. & Otranto, Edoardo, 2015. "Forecasting realized volatility with changing average levels," International Journal of Forecasting, Elsevier, vol. 31(3), pages 620-634.
    40. Nonejad, Nima, 2017. "Parameter instability, stochastic volatility and estimation based on simulated likelihood: Evidence from the crude oil market," Economic Modelling, Elsevier, vol. 61(C), pages 388-408.
    41. Ma, Feng & Wahab, M.I.M. & Huang, Dengshi & Xu, Weiju, 2017. "Forecasting the realized volatility of the oil futures market: A regime switching approach," Energy Economics, Elsevier, vol. 67(C), pages 136-145.
    42. Xiangjin B. Chen & Jiti Gao & Degui Li & Param Silvapulle, 2018. "Nonparametric Estimation and Forecasting for Time-Varying Coefficient Realized Volatility Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 88-100, January.

  9. Castelnuovo, Efrem & Greco, Luciano & Raggi, Davide, 2008. "Estimating regime-switching Taylor rules with trend inflation," Bank of Finland Research Discussion Papers 20/2008, Bank of Finland.

    Cited by:

    1. Castelnuovo, Efrem, 2009. "Testing the structural interpretation of the price puzzle with a cost channel model," Bank of Finland Research Discussion Papers 20/2009, Bank of Finland.

  10. S. Bordignon & D. Raggi, 2008. "Volatility, Jumps and Predictability of Returns: a Sequential Analysis," Working Papers 636, Dipartimento Scienze Economiche, Universita' di Bologna.

    Cited by:

    1. Huang, Jing-Zhi & Ni, Jun & Xu, Li, 2022. "Leverage effect in cryptocurrency markets," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).

  11. Castelnuovo, Efrem & Greco, Luciano & Raggi, Davide, 2008. "Estimating regime-switching Taylor rules with trend inflation," Bank of Finland Research Discussion Papers 20/2008, Bank of Finland.

    Cited by:

    1. Castelnuovo, Efrem, 2009. "Testing the structural interpretation of the price puzzle with a cost channel model," Bank of Finland Research Discussion Papers 20/2009, Bank of Finland.

  12. Carraro, Carlo & Bosello, Francesco & Buchner, Barbara & Raggi, Davide, 2003. "Can Equity Enhance Efficiency? Some Lessons from Climate Negotiations," CEPR Discussion Papers 3606, C.E.P.R. Discussion Papers.

    Cited by:

    1. Johan Eyckmans & Michael Finus, 2003. "New Roads to International Environmental Agreements: The Case of Global Warming," Energy, Transport and Environment Working Papers Series ete0318, KU Leuven, Department of Economics - Research Group Energy, Transport and Environment.
    2. Valentina Bosetti & Carlo Carraro & Enrica De Cian & Romain Duval & Emanuele Massetti & Massimo Tavoni, 2009. "The Incentives to Participate in, and the Stability of, International Climate Coalitions: A Game-theoretic Analysis Using the Witch Model," Working Papers 2009.64, Fondazione Eni Enrico Mattei.
    3. Michael Finus & Ekko Ierland & Rob Dellink, 2006. "Stability of Climate Coalitions in a Cartel Formation Game," Economics of Governance, Springer, vol. 7(3), pages 271-291, August.
    4. Carlo Carraro & Johan Eyckmans & Michael Finus, 2006. "Optimal Transfers and Participation Decisions in International Environmental Agreements," Working Papers 2006_44, Department of Economics, University of Venice "Ca' Foscari".
    5. Dritan Osmani, "undated". "A note on optimal transfer schemes, stable coalition for environmental protection and joint maximization assumption," Working Papers FNU-176, Research unit Sustainability and Global Change, Hamburg University.
    6. Michael Finus & Juan-Carlos Altamirano-Cabrera & Ekko Ierland, 2005. "The effect of membership rules and voting schemes on the success of international climate agreements," Public Choice, Springer, vol. 125(1), pages 95-127, July.
    7. M Sáiz & Eligius Hendrix & Niels Olieman, 2006. "On the Computation of Stability in Multiple Coalition Formation Games," Computational Economics, Springer;Society for Computational Economics, vol. 28(3), pages 251-275, October.

  13. Nunzio Cappuccio & Diego Lubian & Davide Raggi, 2003. "MCMC Bayesian Estimation of a Skew-GED Stochastic Volatily Model," Working Papers 07/2003, University of Verona, Department of Economics.

    Cited by:

    1. Xi, Yanhui & Peng, Hui & Qin, Yemei & Xie, Wenbiao & Chen, Xiaohong, 2015. "Bayesian analysis of heavy-tailed market microstructure model and its application in stock markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 117(C), pages 141-153.
    2. Tsiotas, Georgios, 2012. "On generalised asymmetric stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 151-172, January.
    3. Jerzy P. Rydlewski & Ma{l}gorzata Snarska, 2012. "On Geometric Ergodicity of Skewed - SVCHARME models," Papers 1209.1544, arXiv.org.
    4. Fu, Yang & Zheng, Zeyu, 2020. "Volatility modeling and the asymmetric effect for China’s carbon trading pilot market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    5. Liyuan Chen & Paola Zerilli & Christopher F Baum, 2018. "Leverage effects and stochastic volatility in spot oil returns: A Bayesian approach with VaR and CVaR applications," Boston College Working Papers in Economics 953, Boston College Department of Economics.
    6. Kaufmann Sylvia & Scheicher Martin, 2006. "A Switching ARCH Model for the German DAX Index," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-37, December.
    7. Mao, Xiuping & Czellar, Veronika & Ruiz, Esther & Veiga, Helena, 2020. "Asymmetric stochastic volatility models: Properties and particle filter-based simulated maximum likelihood estimation," Econometrics and Statistics, Elsevier, vol. 13(C), pages 84-105.
    8. Trojan, Sebastian, 2013. "Regime Switching Stochastic Volatility with Skew, Fat Tails and Leverage using Returns and Realized Volatility Contemporaneously," Economics Working Paper Series 1341, University of St. Gallen, School of Economics and Political Science, revised Aug 2014.
    9. Martin Iseringhausen, 2018. "The Time-Varying Asymmetry Of Exchange Rate Returns: A Stochastic Volatility – Stochastic Skewness Model," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 18/944, Ghent University, Faculty of Economics and Business Administration.
    10. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira Da Veiga, María Helena, 2013. "One for all : nesting asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws131110, Universidad Carlos III de Madrid. Departamento de Estadística.
    11. C. A. Abanto-Valle & V. H. Lachos & Dipak K. Dey, 2015. "Bayesian Estimation of a Skew-Student-t Stochastic Volatility Model," Methodology and Computing in Applied Probability, Springer, vol. 17(3), pages 721-738, September.
    12. Mao, Xiuping & Ruiz Ortega, Esther & Lopes Moreira Da Veiga, María Helena, 2014. "Score driven asymmetric stochastic volatility models," DES - Working Papers. Statistics and Econometrics. WS ws142618, Universidad Carlos III de Madrid. Departamento de Estadística.
    13. T. R. Santos, 2018. "A Bayesian GED-Gamma stochastic volatility model for return data: a marginal likelihood approach," Papers 1809.01489, arXiv.org.
    14. Ehlers, Ricardo S., 2012. "Computational tools for comparing asymmetric GARCH models via Bayes factors," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(5), pages 858-867.
    15. Patricia Lengua Lafosse & Cristian Bayes & Gabriel Rodríguez, 2015. "A Stochastic Volatility Model with GH Skew Student’s t-Distribution: Application to Latin-American Stock Returns," Documentos de Trabajo / Working Papers 2015-405, Departamento de Economía - Pontificia Universidad Católica del Perú.
    16. Lengua Lafosse, Patricia & Rodríguez, Gabriel, 2018. "An empirical application of a stochastic volatility model with GH skew Student's t-distribution to the volatility of Latin-American stock returns," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 155-173.

Articles

  1. Dragone, Davide & Raggi, Davide, 2021. "Resolving the milk addiction paradox," Journal of Health Economics, Elsevier, vol. 77(C).
    See citations under working paper version above.
  2. Barigozzi, Francesca & Burani, Nadia & Raggi, Davide, 2018. "Productivity crowding-out in labor markets with motivated workers," Journal of Economic Behavior & Organization, Elsevier, vol. 151(C), pages 199-218.

    Cited by:

    1. Alessandro Fedele & Pierpaolo Giannoccolo, 2020. "Paying Politicians: Not Too Little, Not Too Much," Economica, London School of Economics and Political Science, vol. 87(346), pages 470-489, April.
    2. Ken Yahagi, 2023. "Sanctions and rewards with a motivated agent," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(4), pages 2057-2067, June.
    3. F. Barigozzi & N. Burani, 2016. "Competition Between For-Profit and Non-Profit Firms: Incentives, Workers Self-Selection, and Wage Differentials," Working Papers wp1072, Dipartimento Scienze Economiche, Universita' di Bologna.
    4. Vladasel, Theodor & Parker, Simon C. & Sloof, Randolph & van Praag, Mirjam C., 2022. "Revenue Drift, Incentives, and Effort Allocation in Social Enterprises," IZA Discussion Papers 15716, Institute of Labor Economics (IZA).
    5. Barigozzi, Francesca & Parasnis, Jaai & Tani, Massimiliano, 2022. "Gender, Motivation, and Self-Selection into Teaching," IZA Discussion Papers 15532, Institute of Labor Economics (IZA).
    6. Daniel Jones & Mirco Tonin & Michael Vlassopoulos, 2018. "Paying for what kind of performance? Performance pay and multitasking in mission-oriented jobs," BEMPS - Bozen Economics & Management Paper Series BEMPS51, Faculty of Economics and Management at the Free University of Bozen.
    7. Nasir, Muhammad Ali & Wu, Junjie & Howes, Cameron & Ripley, Helen, 2022. "Asymmetric nexus between wages and productivity in the context of the global financial crisis," Journal of Economic Behavior & Organization, Elsevier, vol. 198(C), pages 164-175.
    8. Gnangnon, Sèna Kimm, 2020. "Development Aid, Remittances Inflows and Wages in the Manufacturing Sector of Recipient-Countries," EconStor Preprints 213439, ZBW - Leibniz Information Centre for Economics.
    9. Carroll David & Parasnis Jaai & Tani Massimiliano, 2021. "Why do women become teachers while men don’t?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 21(2), pages 793-823, April.
    10. Barigozzi, Francesca & Burani, Nadia, 2019. "Competition for talent when firms' mission matters," Games and Economic Behavior, Elsevier, vol. 116(C), pages 128-151.

  3. Castelnuovo, Efrem & Greco, Luciano & Raggi, Davide, 2014. "Policy Rules, Regime Switches, And Trend Inflation: An Empirical Investigation For The United States," Macroeconomic Dynamics, Cambridge University Press, vol. 18(4), pages 920-942, June.

    Cited by:

    1. Diegel, Max, 2022. "Time-varying credibility, anchoring and the Fed's inflation target," Discussion Papers 2022/9, Free University Berlin, School of Business & Economics.
    2. Efrem Castelnuovo, 2019. "Yield curve and financial uncertainty: Evidence based on US data," CAMA Working Papers 2019-38, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    3. Zamarripa, Rene, 2021. "Estimating the Bank of Mexico’s reaction function in the last three decades: A Bayesian DSGE approach with rolling-windows," The North American Journal of Economics and Finance, Elsevier, vol. 56(C).
    4. Guido Ascari & Paolo Bonomolo Hedibert F. Lopes, 2016. "Rational Sunspots," Economics Series Working Papers 787, University of Oxford, Department of Economics.
    5. De Lipsis Vincenzo, 2021. "Dating Structural Changes in UK Monetary Policy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 21(2), pages 509-539, June.
    6. Luis Uzeda, 2018. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Staff Working Papers 18-14, Bank of Canada.
    7. Qazi Haque, 2017. "Monetary Policy, Inflation Target and the Great Moderation: An Empirical Investigation," School of Economics and Public Policy Working Papers 2017-13, University of Adelaide, School of Economics and Public Policy.
    8. Qazi Haque, 2017. "Monetary Policy, Target Inflation and the Great Moderation: An Empirical Investigation," School of Economics and Public Policy Working Papers 2017-10, University of Adelaide, School of Economics and Public Policy.

  4. Renzo Orsi & Davide Raggi & Francesco Turino, 2014. "Size, Trend, and Policy Implications of the Underground Economy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(3), pages 417-436, July.
    See citations under working paper version above.
  5. Christine Mallin & Giovanna Michelon & Davide Raggi, 2013. "Monitoring Intensity and Stakeholders’ Orientation: How Does Governance Affect Social and Environmental Disclosure?," Journal of Business Ethics, Springer, vol. 114(1), pages 29-43, April.

    Cited by:

    1. Nurlan Orazalin & Mady Baydauletov, 2020. "Corporate social responsibility strategy and corporate environmental and social performance: The moderating role of board gender diversity," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(4), pages 1664-1676, July.
    2. Lu, Yun & Ntim, Collins G. & Zhang, Qingjing & Li, Pingli, 2022. "Board of directors’ attributes and corporate outcomes: A systematic literature review and future research agenda," International Review of Financial Analysis, Elsevier, vol. 84(C).
    3. Zabihollah Rezaee & Ling Tuo, 2019. "Are the Quantity and Quality of Sustainability Disclosures Associated with the Innate and Discretionary Earnings Quality?," Journal of Business Ethics, Springer, vol. 155(3), pages 763-786, March.
    4. Laila Maswadi & Azlan Amran, 2023. "Does board capital enhance corporate social responsibility disclosure quality? The role of CEO power," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(1), pages 209-225, January.
    5. Siew Peng Lee, 2023. "Board monitoring effectiveness and corporate sustainability performance: do legal system and CEO non-duality matter?," Review of Managerial Science, Springer, vol. 17(4), pages 1243-1267, May.
    6. Akrum Helfaya & Tantawy Moussa, 2017. "Do Board's Corporate Social Responsibility Strategy and Orientation Influence Environmental Sustainability Disclosure? UK Evidence," Business Strategy and the Environment, Wiley Blackwell, vol. 26(8), pages 1061-1077, December.
    7. Faisal Hameed & Mohammad Alfaraj & Khizar Hameed, 2023. "The Association of Board Characteristics and Corporate Social Responsibility Disclosure Quality: Empirical Evidence from Pakistan," Sustainability, MDPI, vol. 15(24), pages 1-24, December.
    8. Claudia Arena & Saverio Bozzolan & Giovanna Michelon, 2015. "Environmental Reporting: Transparency to Stakeholders or Stakeholder Manipulation? An Analysis of Disclosure Tone and the Role of the Board of Directors," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 22(6), pages 346-361, November.
    9. Ahmed Saber Moussa & Mahmoud Elmarzouky, 2023. "Does Capital Expenditure Matter for ESG Disclosure? A UK Perspective," JRFM, MDPI, vol. 16(10), pages 1-19, September.
    10. Michelon, Giovanna & Rodrigue, Michelle & Trevisan, Elisabetta, 2020. "The marketization of a social movement: Activists, shareholders and CSR disclosure," Accounting, Organizations and Society, Elsevier, vol. 80(C).
    11. Nopparat Wongsinhirun & Pattanaporn Chatjuthamard & Pornsit Jiraporn & Piyachart Phiromswad, 2022. "Do takeover threats influence corporate social responsibility? Evidence from hostile takeover vulnerability," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 29(5), pages 1203-1213, September.
    12. Ishmael Tingbani & Lyton Chithambo & Venancio Tauringana & Nikolaos Papanikolaou, 2020. "Board gender diversity, environmental committee and greenhouse gas voluntary disclosures," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2194-2210, September.
    13. Jannik Gerwanski & Othar Kordsachia & Patrick Velte, 2019. "Determinants of materiality disclosure quality in integrated reporting: Empirical evidence from an international setting," Business Strategy and the Environment, Wiley Blackwell, vol. 28(5), pages 750-770, July.
    14. María‐Florencia Amorelli & Isabel‐María García‐Sánchez, 2021. "Trends in the dynamic evolution of board gender diversity and corporate social responsibility," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(2), pages 537-554, March.
    15. Jennifer Martínez‐Ferrero & Emma García‐Meca, 2020. "Internal corporate governance strength as a mechanism for achieving sustainable development goals," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1189-1198, September.
    16. Fornasari, Tommaso, 2020. "Il ruolo dei comitati di responsabilità sociale nella corporate governance [The Role of CSR Committees in Corporate Governance]," MPRA Paper 111192, University Library of Munich, Germany.
    17. Elisa Baraibar-Diez & María D. Odriozola, 2019. "CSR Committees and Their Effect on ESG Performance in UK, France, Germany, and Spain," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    18. Camélia Radu & Samaneh Maram, 2021. "The value relevance of reported carbon emissions," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(2), pages 347-377, June.
    19. Nikolić Jelena & Zlatanović Dejana, 2018. "Corporate Governance and Corporate Social Responsibility Synergies: A Systemic Approach," Naše gospodarstvo/Our economy, Sciendo, vol. 64(3), pages 36-46, September.
    20. Gregory D. Saxton & Charlotte Ren & Chao Guo, 2021. "Responding to Diffused Stakeholders on Social Media: Connective Power and Firm Reactions to CSR-Related Twitter Messages," Journal of Business Ethics, Springer, vol. 172(2), pages 229-252, August.
    21. Kuzey, Cemil & Fritz, Morgane M.C. & Uyar, Ali & Karaman, Abdullah S., 2022. "Board gender diversity, CSR strategy, and eco-friendly initiatives in the transportation and logistics sector," International Journal of Production Economics, Elsevier, vol. 247(C).
    22. Mara Vogt & Nelson Hein & Fabricia Silva da Rosa & Larissa Degenhart, 2017. "Relationship between determinant factors of disclosure of information on environmental impacts of Brazilian companies," Estudios Gerenciales, Universidad Icesi, vol. 33(142), pages 24-38, March.
    23. María Consuelo Pucheta‐Martínez & Isabel Gallego‐Álvarez, 2019. "An international approach of the relationship between board attributes and the disclosure of corporate social responsibility issues," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(3), pages 612-627, May.
    24. Francesca Gennari, 2019. "How to Lead the Board of Directors to a Sustainable Development of Business with the CSR Committees," Sustainability, MDPI, vol. 11(24), pages 1-17, December.
    25. José-Luis Godos-Díez & Laura Cabeza-García & Daniel Alonso-Martínez & Roberto Fernández-Gago, 2018. "Factors influencing board of directors’ decision-making process as determinants of CSR engagement," Review of Managerial Science, Springer, vol. 12(1), pages 229-253, January.
    26. Johan Graafland, 2020. "When Does Economic Freedom Promote Well Being? On the Moderating Role of Long-Term Orientation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(1), pages 127-153, May.
    27. DeBoskey, D.G. & Luo, Yan & Wang, Jeff J., 2018. "Do specialized board committees impact the transparency of corporate political disclosure? Evidence from S&P 500 companies," Research in Accounting Regulation, Elsevier, vol. 30(1), pages 8-19.
    28. Timo Busch & Charles H. Cho & Andreas G. F. Hoepner & Giovanna Michelon & Joeri Rogelj, 2023. "Corporate Greenhouse Gas Emissions’ Data and the Urgent Need for a Science-Led Just Transition: Introduction to a Thematic Symposium," Journal of Business Ethics, Springer, vol. 182(4), pages 897-901, February.
    29. Xiaohua Meng & Saixing Zeng & Xuemei Xie & Hailiang Zou, 2019. "Beyond symbolic and substantive: Strategic disclosure of corporate environmental information in China," Business Strategy and the Environment, Wiley Blackwell, vol. 28(2), pages 403-417, February.
    30. Zeeshan Ullah & Ahmad Arslan & Vesa Puhakka, 2021. "Corporate social responsibility strategy, sustainable product attributes, and export performance," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(6), pages 1840-1853, November.
    31. Samaha, Khaled & Khlif, Hichem & Hussainey, Khaled, 2015. "The impact of board and audit committee characteristics on voluntary disclosure: A meta-analysis," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 24(C), pages 13-28.
    32. Saeed Janani & Ranjit M. Christopher & Atanas Nik Nikolov & Michael A. Wiles, 2022. "Marketing experience of CEOs and corporate social performance," Journal of the Academy of Marketing Science, Springer, vol. 50(3), pages 460-481, May.
    33. Tauringana, Venancio & Chithambo, Lyton, 2015. "The effect of DEFRA guidance on greenhouse gas disclosure," The British Accounting Review, Elsevier, vol. 47(4), pages 425-444.
    34. Elżbieta Izabela Szczepankiewicz & Joanna Błażyńska & Beata Zaleska & Farid Ullah & Windham Eugene Loopesko, 2022. "Compliance with Corporate Governance Principles by Energy Companies Compared with All Companies Listed on the Warsaw Stock Exchange," Energies, MDPI, vol. 15(17), pages 1-28, September.
    35. Jia Xu & Jiuchang Wei & Liangdong Lu, 2019. "Strategic stakeholder management, environmental corporate social responsibility engagement, and financial performance of stigmatized firms derived from Chinese special environmental policy," Business Strategy and the Environment, Wiley Blackwell, vol. 28(6), pages 1027-1044, September.
    36. Elzbieta Izabela Szczepankiewicz & Joanna Blazynska & Beata Zaleska, 2021. "Comply or Explain Principle in the Context of Corporate Governance in Companies Listed at the Warsaw Stock Exchange," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 281-310.
    37. Francesca Gennari & Daniela M. Salvioni, 2019. "CSR committees on boards: the impact of the external country level factors," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 23(3), pages 759-785, September.
    38. Elisa Menicucci & Guido Paolucci, 2022. "Board Diversity and ESG Performance: Evidence from the Italian Banking Sector," Sustainability, MDPI, vol. 14(20), pages 1-19, October.
    39. Michelon, Giovanna & Pilonato, Silvia & Ricceri, Federica, 2015. "CSR reporting practices and the quality of disclosure: An empirical analysis," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 33(C), pages 59-78.
    40. Hans B. Christensen & Luzi Hail & Christian Leuz, 2021. "Mandatory CSR and sustainability reporting: economic analysis and literature review," Review of Accounting Studies, Springer, vol. 26(3), pages 1176-1248, September.
    41. Daina Mazutis & Katherine Hanly & Anna Eckardt, 2022. "Sustainability (Is Not) in the Boardroom: Evidence and Implications of Attentional Voids," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
    42. Xia, Li & Gao, Shuo & Wei, Jiuchang & Ding, Qiying, 2022. "Government subsidy and corporate green innovation - Does board governance play a role?," Energy Policy, Elsevier, vol. 161(C).
    43. Braune, Eric & Sahut, Jean-Michel & Teulon, Fréderic, 2020. "Intangible capital, governance and financial performance," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    44. Abdalla Shwairef & Azlan Amran & Mohammad Iranmanesh & Noor Hazlina Ahmad, 2021. "The mediating effect of strategic posture on corporate governance and environmental reporting," Review of Managerial Science, Springer, vol. 15(2), pages 349-378, February.
    45. Ahmed A. Sarhan & Basil Al‐Najjar, 2023. "The influence of corporate governance and shareholding structure on corporate social responsibility: The key role of executive compensation," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4532-4556, October.
    46. Nebedum Ekene Ebele & Seong Mi Bae & Jong Dae Kim, 2023. "The Impact of Chief Sustainability Officers on Environmental Performance of Korean Listed Companies: The Mediating Role of Corporate Sustainability Practices," Sustainability, MDPI, vol. 15(20), pages 1-17, October.
    47. Hai Huang & Shengbin Hao & Yu Chen, 2023. "The more the better? Service transition for shaping sustainable development in manufacturing firms and the role of top management team attributes," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 30(6), pages 3255-3270, November.
    48. Nancy Harp & Mark Myring & Rebecca Shortridge, 2014. "Do Variations in the Strength of Corporate Governance Still Matter? A Comparison of the Pre- and Post-Regulation Environment," Journal of Business Ethics, Springer, vol. 122(3), pages 361-373, July.
    49. Nurlan Orazalin, 2020. "Do board sustainability committees contribute to corporate environmental and social performance? The mediating role of corporate social responsibility strategy," Business Strategy and the Environment, Wiley Blackwell, vol. 29(1), pages 140-153, January.
    50. Amama Shaukat & Yan Qiu & Grzegorz Trojanowski, 2016. "Board Attributes, Corporate Social Responsibility Strategy, and Corporate Environmental and Social Performance," Journal of Business Ethics, Springer, vol. 135(3), pages 569-585, May.
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  6. Raggi, Davide & Bordignon, Silvano, 2012. "Long memory and nonlinearities in realized volatility: A Markov switching approach," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3730-3742.
    See citations under working paper version above.
  7. Davide Raggi & Silvano Bordignon, 2011. "Volatility, Jumps, and Predictability of Returns: A Sequential Analysis," Econometric Reviews, Taylor & Francis Journals, vol. 30(6), pages 669-695.
    See citations under working paper version above.
  8. Raggi, Davide & Bordignon, Silvano, 2006. "Comparing stochastic volatility models through Monte Carlo simulations," Computational Statistics & Data Analysis, Elsevier, vol. 50(7), pages 1678-1699, April.

    Cited by:

    1. Nakajima, Jouchi & Omori, Yasuhiro, 2009. "Leverage, heavy-tails and correlated jumps in stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2335-2353, April.
    2. Ausin, Maria Concepcion & Galeano, Pedro, 2007. "Bayesian estimation of the Gaussian mixture GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2636-2652, February.
    3. Creal, Drew D., 2008. "Analysis of filtering and smoothing algorithms for Lévy-driven stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 2863-2876, February.
    4. Jouchi Nakajima & Yasuhiro Omori, 2010. "Stochastic Volatility Model with Leverage and Asymmetrically Heavy-Tailed Error Using GH Skew Student's t-Distribution Models," CIRJE F-Series CIRJE-F-738, CIRJE, Faculty of Economics, University of Tokyo.
    5. Jeonggyu Huh, 2018. "Measuring Systematic Risk with Neural Network Factor Model," Papers 1809.04925, arXiv.org.
    6. Nakajima, Jouchi & Omori, Yasuhiro, 2012. "Stochastic volatility model with leverage and asymmetrically heavy-tailed error using GH skew Student’s t-distribution," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3690-3704.
    7. Frédéric Karamé, 2018. "A new particle filtering approach to estimate stochastic volatility models with Markov-switching," Post-Print hal-02296093, HAL.
    8. Nakajima Jouchi, 2013. "Stochastic volatility model with regime-switching skewness in heavy-tailed errors for exchange rate returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(5), pages 499-520, December.
    9. Huh, Jeonggyu, 2020. "Measuring systematic risk with neural network factor model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 542(C).
    10. Jouchi Nakajima, 2008. "EGARCH and Stochastic Volatility: Modeling Jumps and Heavy-tails for Stock Returns," IMES Discussion Paper Series 08-E-23, Institute for Monetary and Economic Studies, Bank of Japan.
    11. de Pinho, Frank M. & Franco, Glaura C. & Silva, Ralph S., 2016. "Modeling volatility using state space models with heavy tailed distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 119(C), pages 108-127.
    12. Borovkova, Svetlana & Permana, Ferry J., 2009. "Implied volatility in oil markets," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2022-2039, April.
    13. T. R. Santos, 2018. "A Bayesian GED-Gamma stochastic volatility model for return data: a marginal likelihood approach," Papers 1809.01489, arXiv.org.
    14. Yedidya Rabinovitz, 2017. "A new S.D.E. and instantaneous mean reversion rate formula (presented via a numerical empirical model comparison)," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(02n03), pages 1-22, June.

  9. Davide Raggi, 2005. "Adaptive MCMC methods for inference on affine stochastic volatility models with jumps," Econometrics Journal, Royal Economic Society, vol. 8(2), pages 235-250, July.

    Cited by:

    1. S. Bordignon & D. Raggi, 2008. "Volatility, Jumps and Predictability of Returns: a Sequential Analysis," Working Papers 636, Dipartimento Scienze Economiche, Universita' di Bologna.
    2. Mylène Bédard & Randal Douc & Eric Moulines, 2014. "Scaling Analysis of Delayed Rejection MCMC Methods," Methodology and Computing in Applied Probability, Springer, vol. 16(4), pages 811-838, December.
    3. Ping Chen & Jinde Wang, 2010. "Application in stochastic volatility models of nonlinear regression with stochastic design," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(2), pages 142-156, March.

  10. Cappuccio Nunzio & Lubian Diego & Raggi Davide, 2004. "MCMC Bayesian Estimation of a Skew-GED Stochastic Volatility Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(2), pages 1-31, May.
    See citations under working paper version above.

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