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Daniela Bragoli

Personal Details

First Name:Daniela
Middle Name:
Last Name:Bragoli
Suffix:
RePEc Short-ID:pbr653
[This author has chosen not to make the email address public]

Affiliation

Dipartimento di Matematica per le Scienze economiche, finanziarie ed attuariali (DiMSEFA)
Dipartimenti e Istituti di Scienze Economiche
Università Cattolica del Sacro Cuore

Milano, Italy
https://dipartimenti.unicatt.it/dime
RePEc:edi:dmcatit (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Daniela Bragoli & Jack Fosten, 2016. "Nowcasting Indian GDP," University of East Anglia School of Economics Working Paper Series 2016-06, School of Economics, University of East Anglia, Norwich, UK..
  2. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
  3. Daniela Bragoli & Massimiliano Rigon & Francesco Zanetti, 2015. "Optimal Inflation Weights in the Euro Area," BCAM Working Papers 1503, Birkbeck Centre for Applied Macroeconomics.
  4. Laura Barbieri & Daniela Bragoli & Flavia Cortelezzi & Giovanni Marseguerra, 2015. "Public Support to Innovation Strategies," DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali dises1509, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
  5. Daniela Bragoli & Luca Metelli & Michele Modugno, 2014. "The Importance of Updating: Evidence from a Brazilian Nowcasting Model," Finance and Economics Discussion Series 2014-94, Board of Governors of the Federal Reserve System (U.S.).
  6. Daniela Bragoli & Camilla Ferretti & Piero Ganugi & Giancarlo Ianulardo, 2013. "Monetary regimes and statistical regularity: the Classical Gold Standard (1880-1913) through the lenses of Markov models," Discussion Papers 1301, University of Exeter, Department of Economics.
  7. D Bragoli & P Ganugi & G Ianulardo, 2009. "Gini’s Transvariation Analysis: An Application on Financial Crises in Developing Countries," Department of Economics Working Papers 16/09, University of Bath, Department of Economics.
    repec:ctc:sdimse:dime19_01 is not listed on IDEAS
    repec:ctc:sdimse:dime19_03 is not listed on IDEAS
    repec:ctc:sdimse:dime21_01 is not listed on IDEAS

Articles

  1. Laura Barbieri & Daniela Bragoli & Flavia Cortelezzi & Giovanni Marseguerra, 2020. "Public Funding and Innovation Strategies. Evidence from Italian SMEs," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 27(1), pages 111-134, January.
  2. Daniela Bragoli & Flavia Cortelezzi & Giovanni Marseguerra & Massimiliano Rigon, 2020. "Innovative investments, financial imperfections, and the Italian business cycle," Oxford Economic Papers, Oxford University Press, vol. 72(2), pages 412-434.
  3. Daniela Bragoli & Flavia Cortelezzi & Pierpaolo Giannoccolo & Giovanni Marseguerra, 2020. "R&D Investment timing, default and capital structure," Review of Quantitative Finance and Accounting, Springer, vol. 54(3), pages 779-801, April.
  4. Daniela Bragoli & Fabrizio Cipollini & Camilla Ferretti & Piero Ganugi & Renato Giannetti, 2019. "The Evolution of Firm Size During the Golden Age in Italy: Evidence from the Core," Rivista di storia economica, Società editrice il Mulino, issue 2, pages 175-209.
  5. Daniela Bragoli & Camilla Ferretti & Piero Ganugi & Luigi Grossi & Giancarlo Ianulardo, 2019. "Does The Past Count? Sovereign Debt During The Classical Gold Standard Through The Lenses Of Mover Stayer And Markov Chain Models," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 127(4), pages 407-432.
  6. Daniela Bragoli & Jack Fosten, 2018. "Nowcasting Indian GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(2), pages 259-282, April.
  7. Bragoli, Daniela & Modugno, Michele, 2017. "A now-casting model for Canada: Do U.S. variables matter?," International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
  8. Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.
  9. Daniela Bragoli & Flavia Cortelezzi & Giovanni Marseguerra, 2016. "R&D, capital structure and ownership concentration: evidence from Italian microdata," Industry and Innovation, Taylor & Francis Journals, vol. 23(3), pages 223-242, April.
  10. Daniela Bragoli & Massimiliano Rigon & Francesco Zanetti, 2016. "Optimal Inflation Weights in the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 12(2), pages 357-383, June.
  11. Daniela Bragoli & Luca Metelli & Michele Modugno, 2015. "The importance of updating: Evidence from a Brazilian nowcasting model," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(1), pages 5-22.
  12. Daniela Bragoli & Flavia Cortelezzi & Giovanni Marseguerra, 2014. "The Effect of Risky Debt on R&D Investment," Economia politica, Società editrice il Mulino, issue 2, pages 149-172.
  13. Daniela Bragoli & Piero Ganugi & Giancarlo Ianulardo, 2013. "Gini’s transvariation analysis: an application on financial crises in developing countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(1), pages 153-174, February.

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.

RePEc Biblio mentions

As found on the RePEc Biblio, the curated bibliography of Economics:
  1. Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.

    Mentioned in:

    1. > Econometrics > Forecasting > Nowcasting
  2. Daniela Bragoli & Jack Fosten, 2016. "Nowcasting Indian GDP," University of East Anglia School of Economics Working Paper Series 2016-06, School of Economics, University of East Anglia, Norwich, UK..

    Mentioned in:

    1. > Econometrics > Forecasting > Nowcasting

Working papers

  1. Daniela Bragoli & Jack Fosten, 2016. "Nowcasting Indian GDP," University of East Anglia School of Economics Working Paper Series 2016-06, School of Economics, University of East Anglia, Norwich, UK..

    Cited by:

    1. Claudio, João C. & Heinisch, Katja & Holtemöller, Oliver, 2019. "Nowcasting East German GDP growth: A MIDAS approach," IWH Discussion Papers 24/2019, Halle Institute for Economic Research (IWH).
    2. Chien-jung Ting & Yi-Long Hsiao & Rui-jun Su, 2022. "Application of the Real-Time Tourism Data in Nowcasting the Service Consumption in Taiwan," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 12(4), pages 1-4.
    3. Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima, 2017. "Nowcasting BRIC+M in real time," International Journal of Forecasting, Elsevier, vol. 33(4), pages 915-935.
    4. Han Liu & Yongjing Wang & Haiyan Song & Ying Liu, 2023. "Measuring tourism demand nowcasting performance using a monotonicity test," Tourism Economics, , vol. 29(5), pages 1302-1327, August.
    5. Bhadury, Soumya & Ghosh, Saurabh & Kumar, Pankaj, 2019. "Nowcasting GDP Growth Using a Coincident Economic Indicator for India," MPRA Paper 96007, University Library of Munich, Germany.
    6. Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
    7. Jack Fosten & Shaoni Nandi, 2023. "Nowcasting from cross‐sectionally dependent panels," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(6), pages 898-919, September.
    8. Chien-jung Ting & Yi-Long Hsiao, 2022. "Nowcasting the GDP in Taiwan and the Real-Time Tourism Data," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(3), pages 1-2.
    9. Pérez, Fernando, 2018. "Nowcasting Peruvian GDP using Leading Indicators and Bayesian Variable Selection," Working Papers 2018-010, Banco Central de Reserva del Perú.
    10. Rudrani Bhattacharya & Bornali Bhandari & Sudipto Mundle, 2023. "Nowcasting India’s Quarterly GDP Growth: A Factor-Augmented Time-Varying Coefficient Regression Model (FA-TVCRM)," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(1), pages 213-234, March.
    11. Pradeep Mishra & Khder Alakkari & Mostafa Abotaleb & Pankaj Kumar Singh & Shilpi Singh & Monika Ray & Soumitra Sankar Das & Umme Habibah Rahman & Ali J. Othman & Nazirya Alexandrovna Ibragimova & Gulf, 2021. "Nowcasting India Economic Growth Using a Mixed-Data Sampling (MIDAS) Model (Empirical Study with Economic Policy Uncertainty–Consumer Prices Index)," Data, MDPI, vol. 6(11), pages 1-15, November.
    12. Caruso, Alberto, 2019. "Macroeconomic news and market reaction: Surprise indexes meet nowcasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
    13. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    14. Bantis, Evripidis & Clements, Michael P. & Urquhart, Andrew, 2023. "Forecasting GDP growth rates in the United States and Brazil using Google Trends," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1909-1924.
    15. Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
    16. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.

  2. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Libero Monteforte & Valentina Raponi, 2019. "Short‐term forecasts of economic activity: Are fortnightly factors useful?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(3), pages 207-221, April.
    2. Anesti, Nikoleta & Galvao, Ana Beatriz & Miranda-Agrippino, Silvia, 2018. "Uncertain kingdom: nowcasting GDP and its revisions," LSE Research Online Documents on Economics 90382, London School of Economics and Political Science, LSE Library.
    3. Tony Chernis & Calista Cheung & Gabriella Velasco, 2017. "A Three-Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth," Discussion Papers 17-8, Bank of Canada.
    4. Tony Chernis & Rodrigo Sekkel, 2017. "A dynamic factor model for nowcasting Canadian GDP growth," Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
    5. Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
    6. Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
    7. Caruso, Alberto, 2019. "Macroeconomic news and market reaction: Surprise indexes meet nowcasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
    8. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    9. Tony Chernis & Rodrigo Sekkel, 2018. "Nowcasting Canadian Economic Activity in an Uncertain Environment," Discussion Papers 18-9, Bank of Canada.
    10. Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
    11. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    12. Timo Wollmershäuser & Marcell Göttert & Christian Grimme & Stefan Lautenbacher & Robert Lehmann & Sebastian Link & Manuel Menkhoff & Sascha Möhrle & Ann-Christin Rathje & Magnus Reif & Pauliina Sandqv, 2020. "ifo Economic Forecast Winter 2020: The Coronavirus Strikes Back – Another Lockdown Slows the Economy for a Second Time," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(Sonderaus), pages 03-61, December.
    13. Robert Lehmann & Magnus Reif & Timo Wollmershäuser, 2020. "ifoCAST: The New Forecast Standard of the ifo Institute," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(11), pages 31-39, November.
    14. Jaya Kumari & Ramin Karim & Adithya Thaduri & Pierre Dersin, 2022. "A framework for now-casting and forecasting in augmented asset management," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2640-2655, October.

  3. Daniela Bragoli & Massimiliano Rigon & Francesco Zanetti, 2015. "Optimal Inflation Weights in the Euro Area," BCAM Working Papers 1503, Birkbeck Centre for Applied Macroeconomics.

    Cited by:

    1. Alessandro Cantelmo & Giovanni Melina, 2020. "Sectoral Labor Mobility and Optimal Monetary Policy," Papers 2010.14668, arXiv.org, revised Nov 2020.
    2. Massimiliano Rigon & Francesco Zanetti, 2017. "Optimal Monetary Policy and Fiscal Policy Interaction in a non-Ricardian Economy," BCAM Working Papers 1708, Birkbeck Centre for Applied Macroeconomics.
    3. Irina Kozlovtceva & Alexey Ponomarenko & Andrey Sinyakov & Stas Tatarintsev, 2019. "Financial Stability Implications of Policy Mix in a Small Open Commodity-Exporting Economy," Bank of Russia Working Paper Series wps42, Bank of Russia.
    4. Santoro, Sergio & Weber, Henning, 2023. "Micro price heterogeneity and optimal inflation," Occasional Paper Series 322, European Central Bank.

  4. Daniela Bragoli & Luca Metelli & Michele Modugno, 2014. "The Importance of Updating: Evidence from a Brazilian Nowcasting Model," Finance and Economics Discussion Series 2014-94, Board of Governors of the Federal Reserve System (U.S.).

    Cited by:

    1. Raquel Nadal Cesar Gonçalves, 2022. "Nowcasting Brazilian GDP with Electronic Payments Data," Working Papers Series 564, Central Bank of Brazil, Research Department.
    2. Nie,Owen, 2020. "The Information Content of Capital Controls," Policy Research Working Paper Series 9343, The World Bank.
    3. Luciani, Matteo & Pundit, Madhavi & Ramayandi, Arief & Veronese , Giovanni, 2015. "Nowcasting Indonesia," ADB Economics Working Paper Series 471, Asian Development Bank.
    4. Dahlhaus, Tatjana & Guénette, Justin-Damien & Vasishtha, Garima, 2017. "Nowcasting BRIC+M in real time," International Journal of Forecasting, Elsevier, vol. 33(4), pages 915-935.
    5. Tony Chernis & Rodrigo Sekkel, 2017. "A dynamic factor model for nowcasting Canadian GDP growth," Empirical Economics, Springer, vol. 53(1), pages 217-234, August.
    6. Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
    7. Laurent Ferrara & Anna Simoni, 2019. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working Papers 2019-04, Center for Research in Economics and Statistics.
    8. George Kapetanios & Fotis Papailias, 2018. "Big Data & Macroeconomic Nowcasting: Methodological Review," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2018-12, Economic Statistics Centre of Excellence (ESCoE).
    9. Soybilgen, Barış & Yazgan, Ege, 2018. "Evaluating nowcasts of bridge equations with advanced combination schemes for the Turkish unemployment rate," Economic Modelling, Elsevier, vol. 72(C), pages 99-108.
    10. Oguzhan Cepni & I. Ethem Guney & Norman R. Swanson, 2020. "Forecasting and nowcasting emerging market GDP growth rates: The role of latent global economic policy uncertainty and macroeconomic data surprise factors," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 18-36, January.
    11. Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
    12. Cepni, Oguzhan & Güney, I. Ethem & Swanson, Norman R., 2019. "Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes," International Journal of Forecasting, Elsevier, vol. 35(2), pages 555-572.
    13. Reichlin, Lucrezia & Andreini, Paolo & Hasenzagl, Thomas & Senftleben-König, Charlotte & Strohsal, Till, 2020. "Nowcasting German GDP," CEPR Discussion Papers 14323, C.E.P.R. Discussion Papers.
    14. Pérez, Fernando, 2018. "Nowcasting Peruvian GDP using Leading Indicators and Bayesian Variable Selection," Working Papers 2018-010, Banco Central de Reserva del Perú.
    15. Luca Tiozzo Pezzoli & Elisa Tosetti, 2022. "Seismonomics: Listening to the heartbeat of the economy," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 288-309, December.
    16. Smith Paul, 2016. "Nowcasting UK GDP during the depression," Working Papers 1606, University of Strathclyde Business School, Department of Economics.
    17. Caruso, Alberto, 2019. "Macroeconomic news and market reaction: Surprise indexes meet nowcasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
    18. Daniela Bragoli & Jack Fosten, 2016. "Nowcasting Indian GDP," University of East Anglia School of Economics Working Paper Series 2016-06, School of Economics, University of East Anglia, Norwich, UK..
    19. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    20. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
    21. Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.
    22. Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
    23. Porshakov, Alexey & Deryugina, Elena & Ponomarenko, Alexey & Sinyakov, Andrey, 2015. "Nowcasting and short-term forecasting of Russian GDP with a dynamic factor model," BOFIT Discussion Papers 19/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    24. Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016. "Nowcasting Turkish GDP and news decomposition," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1369-1384.
    25. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    26. Alberto Caruso, 2015. "Nowcasting Mexican GDP," Working Papers ECARES ECARES 2015-40, ULB -- Universite Libre de Bruxelles.
    27. Alain Kabundi & Elmarie Nel & Franz Ruch, 2016. "Nowcasting Real GDP growth in South Africa," Working Papers 581, Economic Research Southern Africa.
    28. Danilo Leiva-Leon & Gabriel Pérez-Quirós & Eyno Rots, 2020. "Real-Time Weakness of the Global Economy: A First Assessment of the Coronavirus Crisis," MNB Working Papers 2020/4, Magyar Nemzeti Bank (Central Bank of Hungary).

  5. D Bragoli & P Ganugi & G Ianulardo, 2009. "Gini’s Transvariation Analysis: An Application on Financial Crises in Developing Countries," Department of Economics Working Papers 16/09, University of Bath, Department of Economics.

    Cited by:

    1. Yucel, Eray, 2011. "A Review and Bibliography of Early Warning Models," MPRA Paper 32893, University Library of Munich, Germany.

Articles

  1. Laura Barbieri & Daniela Bragoli & Flavia Cortelezzi & Giovanni Marseguerra, 2020. "Public Funding and Innovation Strategies. Evidence from Italian SMEs," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 27(1), pages 111-134, January.

    Cited by:

    1. Hisham Alidrisi, 2021. "The Development of an Efficiency-Based Global Green Manufacturing Innovation Index: An Input-Oriented DEA Approach," Sustainability, MDPI, vol. 13(22), pages 1-11, November.
    2. Shiyuan Liu & Jiang Du & Weike Zhang & Xiaoli Tian, 2021. "Opening the box of subsidies: which is more effective for innovation?," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(3), pages 421-449, September.
    3. Daniela Bragoli & Flavia Cortelezzi & Massimiliano Rigon, 2023. "Firms' innovation and university cooperation. New evidence from a survey of Italian firms," Temi di discussione (Economic working papers) 1400, Bank of Italy, Economic Research and International Relations Area.
    4. Bingqiang Li & Shan Wang & Nannan Dong & Jinzhi Li & Xi Li & He Yu, 2023. "Empirical Analysis of Subsidy Industrial Policy’s Effect on Export Innovation in the Chinese Manufacturing," SAGE Open, , vol. 13(4), pages 21582440231, November.

  2. Daniela Bragoli & Flavia Cortelezzi & Giovanni Marseguerra & Massimiliano Rigon, 2020. "Innovative investments, financial imperfections, and the Italian business cycle," Oxford Economic Papers, Oxford University Press, vol. 72(2), pages 412-434.

    Cited by:

    1. Daniela Bragoli & Flavia Cortelezzi & Massimiliano Rigon, 2023. "Firms' innovation and university cooperation. New evidence from a survey of Italian firms," Temi di discussione (Economic working papers) 1400, Bank of Italy, Economic Research and International Relations Area.

  3. Daniela Bragoli & Flavia Cortelezzi & Pierpaolo Giannoccolo & Giovanni Marseguerra, 2020. "R&D Investment timing, default and capital structure," Review of Quantitative Finance and Accounting, Springer, vol. 54(3), pages 779-801, April.

    Cited by:

    1. Dumont, Michel, 2022. "Public support to business research and development in Belgium: fourth evaluation," MPRA Paper 115418, University Library of Munich, Germany.

  4. Daniela Bragoli & Jack Fosten, 2018. "Nowcasting Indian GDP," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(2), pages 259-282, April.
    See citations under working paper version above.
  5. Bragoli, Daniela & Modugno, Michele, 2017. "A now-casting model for Canada: Do U.S. variables matter?," International Journal of Forecasting, Elsevier, vol. 33(4), pages 786-800.
    See citations under working paper version above.
  6. Bragoli, Daniela, 2017. "Now-casting the Japanese economy," International Journal of Forecasting, Elsevier, vol. 33(2), pages 390-402.

    Cited by:

    1. Takashi Nakazawa, 2022. "Constructing GDP Nowcasting Models Using Alternative Data," Bank of Japan Working Paper Series 22-E-9, Bank of Japan.
    2. Kyosuke Chikamatsu, Naohisa Hirakata, Yosuke Kido, Kazuki Otaka, 2018. "Nowcasting Japanese GDPs," Bank of Japan Working Paper Series 18-E-18, Bank of Japan.
    3. Danilo Cascaldi-Garcia & Thiago Revil T. Ferreira & Domenico Giannone & Michele Modugno, 2021. "Back to the Present: Learning about the Euro Area through a Now-casting Model," International Finance Discussion Papers 1313, Board of Governors of the Federal Reserve System (U.S.).
    4. Laurent Ferrara & Anna Simoni, 2019. "When are Google data useful to nowcast GDP? An approach via pre-selection and shrinkage," Working Papers 2019-04, Center for Research in Economics and Statistics.
    5. Fumio Hayashi & Yuta Tachi, 2023. "Nowcasting Japan’s GDP," Empirical Economics, Springer, vol. 64(4), pages 1699-1735, April.
    6. Daniel Kaufmann & Rolf Scheufele, 2015. "Business tendency surveys and macroeconomic fluctuations," KOF Working papers 15-378, KOF Swiss Economic Institute, ETH Zurich.
    7. Morita, Hiroshi, 2022. "Forecasting GDP growth using stock returns in Japan: A factor-augmented MIDAS approach," Discussion paper series HIAS-E-118, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    8. Raïsa Basselier & David Antonio Liedo & Geert Langenus, 2018. "Nowcasting Real Economic Activity in the Euro Area: Assessing the Impact of Qualitative Surveys," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 14(1), pages 1-46, April.
    9. Cepni, Oguzhan & Güney, I. Ethem & Swanson, Norman R., 2019. "Nowcasting and forecasting GDP in emerging markets using global financial and macroeconomic diffusion indexes," International Journal of Forecasting, Elsevier, vol. 35(2), pages 555-572.
    10. Brandyn Bok & Daniele Caratelli & Domenico Giannone & Argia M. Sbordone & Andrea Tambalotti, 2018. "Macroeconomic Nowcasting and Forecasting with Big Data," Annual Review of Economics, Annual Reviews, vol. 10(1), pages 615-643, August.
    11. Pérez, Fernando, 2018. "Nowcasting Peruvian GDP using Leading Indicators and Bayesian Variable Selection," Working Papers 2018-010, Banco Central de Reserva del Perú.
    12. Satoshi Urasawa, 2023. "The Usefulness of High-Frequency Alternative Data to Obtain Nowcasts for Japan’s GDP: Evidence from Credit Card Data," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 19(2), pages 191-211, September.
    13. Camila Figueroa S. & Michael Pedersen, 2019. "Extracting information on economic activity from business and consumer surveys in an emerging economy (Chile)," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 22(3), pages 098-131, December.
    14. James T. E. Chapman & Ajit Desai, 2022. "Macroeconomic Predictions using Payments Data and Machine Learning," Papers 2209.00948, arXiv.org.
    15. Caruso, Alberto, 2019. "Macroeconomic news and market reaction: Surprise indexes meet nowcasting," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1725-1734.
    16. Danilo Cascaldi-Garcia & Matteo Luciani & Michele Modugno, 2023. "Lessons from Nowcasting GDP across the World," International Finance Discussion Papers 1385, Board of Governors of the Federal Reserve System (U.S.).
    17. Daniela Bragoli & Michele Modugno, 2016. "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series 2016-036, Board of Governors of the Federal Reserve System (U.S.).
    18. Carlos León & Fabio Ortega, 2018. "Nowcasting economic activity with electronic payments data: A predictive modeling approach," Borradores de Economia 1037, Banco de la Republica de Colombia.
    19. Andreini, Paolo & Hasenzagl, Thomas & Reichlin, Lucrezia & Senftleben-König, Charlotte & Strohsal, Till, 2023. "Nowcasting German GDP: Foreign factors, financial markets, and model averaging," International Journal of Forecasting, Elsevier, vol. 39(1), pages 298-313.
    20. Chikamatsu, Kyosuke & Hirakata, Naohisa & Kido, Yosuke & Otaka, Kazuki, 2021. "Mixed-frequency approaches to nowcasting GDP: An application to Japan," Japan and the World Economy, Elsevier, vol. 57(C).
    21. Caruso, Alberto, 2018. "Nowcasting with the help of foreign indicators: The case of Mexico," Economic Modelling, Elsevier, vol. 69(C), pages 160-168.
    22. Timo Wollmershäuser & Marcell Göttert & Christian Grimme & Stefan Lautenbacher & Robert Lehmann & Sebastian Link & Manuel Menkhoff & Sascha Möhrle & Ann-Christin Rathje & Magnus Reif & Pauliina Sandqv, 2020. "ifo Economic Forecast Winter 2020: The Coronavirus Strikes Back – Another Lockdown Slows the Economy for a Second Time," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(Sonderaus), pages 03-61, December.
    23. Robert Lehmann & Magnus Reif & Timo Wollmershäuser, 2020. "ifoCAST: The New Forecast Standard of the ifo Institute," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 73(11), pages 31-39, November.
    24. James Chapman & Ajit Desai, 2022. "Macroeconomic Predictions Using Payments Data and Machine Learning," Staff Working Papers 22-10, Bank of Canada.

  7. Daniela Bragoli & Flavia Cortelezzi & Giovanni Marseguerra, 2016. "R&D, capital structure and ownership concentration: evidence from Italian microdata," Industry and Innovation, Taylor & Francis Journals, vol. 23(3), pages 223-242, April.

    Cited by:

    1. Nasif Ozkan, 2018. "Replicating the R&D investments and financial structure relationship: evidence from Borsa İstanbul," Management Review Quarterly, Springer, vol. 68(4), pages 399-411, November.
    2. Tieng Kimseng & Amna Javed & Chawalit Jeenanunta & Youji Kohda, 2020. "Sustaining Innovation through Joining Global Supply Chain Networks: The Case of Manufacturing Firms in Thailand," Sustainability, MDPI, vol. 12(13), pages 1-17, June.
    3. Daniela Bragoli & Flavia Cortelezzi & Massimiliano Rigon, 2023. "Firms' innovation and university cooperation. New evidence from a survey of Italian firms," Temi di discussione (Economic working papers) 1400, Bank of Italy, Economic Research and International Relations Area.
    4. Daniela Bragoli & Flavia Cortelezzi & Pierpaolo Giannoccolo & Giovanni Marseguerra, 2020. "R&D Investment timing, default and capital structure," Review of Quantitative Finance and Accounting, Springer, vol. 54(3), pages 779-801, April.

  8. Daniela Bragoli & Massimiliano Rigon & Francesco Zanetti, 2016. "Optimal Inflation Weights in the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 12(2), pages 357-383, June.
    See citations under working paper version above.
  9. Daniela Bragoli & Luca Metelli & Michele Modugno, 2015. "The importance of updating: Evidence from a Brazilian nowcasting model," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2015(1), pages 5-22.
    See citations under working paper version above.
  10. Daniela Bragoli & Flavia Cortelezzi & Giovanni Marseguerra, 2014. "The Effect of Risky Debt on R&D Investment," Economia politica, Società editrice il Mulino, issue 2, pages 149-172.

    Cited by:

    1. Daniela Bragoli & Flavia Cortelezzi & Pierpaolo Giannoccolo & Giovanni Marseguerra, 2020. "R&D Investment timing, default and capital structure," Review of Quantitative Finance and Accounting, Springer, vol. 54(3), pages 779-801, April.

  11. Daniela Bragoli & Piero Ganugi & Giancarlo Ianulardo, 2013. "Gini’s transvariation analysis: an application on financial crises in developing countries," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 40(1), pages 153-174, February.

    Cited by:

    1. Nickolay T. Trendafilov & Tsegay Gebrehiwot Gebru, 2016. "Recipes for sparse LDA of horizontal data," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 207-221, August.

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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 8 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-MAC: Macroeconomics (6) 2013-03-23 2014-11-28 2015-08-07 2016-02-17 2016-05-28 2016-07-09. Author is listed
  2. NEP-MON: Monetary Economics (3) 2013-03-23 2015-08-07 2016-02-17
  3. NEP-CBA: Central Banking (2) 2015-08-07 2016-02-17
  4. NEP-EEC: European Economics (2) 2015-08-07 2016-02-17
  5. NEP-COM: Industrial Competition (1) 2016-04-23
  6. NEP-CSE: Economics of Strategic Management (1) 2016-04-23
  7. NEP-CWA: Central and Western Asia (1) 2009-10-31
  8. NEP-DEV: Development (1) 2009-10-31
  9. NEP-EUR: Microeconomic European Issues (1) 2016-04-23
  10. NEP-FOR: Forecasting (1) 2016-05-28
  11. NEP-HIS: Business, Economic and Financial History (1) 2013-03-23
  12. NEP-INO: Innovation (1) 2016-04-23
  13. NEP-LAM: Central and South America (1) 2014-11-28
  14. NEP-SBM: Small Business Management (1) 2016-04-23
  15. NEP-URE: Urban and Real Estate Economics (1) 2016-04-23

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