## Marco Marini - Curriculum Vitae ## Source details **Canonical URL:** [Marco Marini - Curriculum Vitae](https://www.imf.org/en/research/researcher-cv/author/marini-marco) ## Other formats - [Markdown version](/en/research/researcher-cv/author/marini-marco/index.md) - [Structured JSON version](/en/research/researcher-cv/author/marini-marco/index.json) - [Bundle manifest](/en/research/researcher-cv/author/marini-marco/bundle-manifest.json) ## Bibliographic details - Authors: Marco Marini --- ### Biography Marco Marini is Deputy Chief of the Data Governance and Services Division in the IMF Statistics Department. He coordinates activities related to data analytics and data management, including SDMX. He’s the IMF lead of the Development Data Partnership, an initiative that facilitates access to private sector data for public good. He has extensive experience in the production and analysis of macroeconomic statistics. He is the editor and main contributor of the IMF’s Quarterly National Accounts manual. He has conducted research and published several papers in statistical and econometrics topics, including benchmarking, seasonal adjustment and forecasting. ### Profile ### Education - 2001-2004 Doctorate (PhD) Statistical Methods for Businesses and Economics, University of Rome "RomaTre". 1994-1999 Laurea Economics, Univerisity of Rome "La Sapienza" ### Previous Experience - October 2010 to present: Senior Economist, International Monetary Fund. July 2001 to September 2014: Senior Researcher, ISTAT, National Statistical Institute of Italy. October 2005 to September 2007: Lecturer in Time Series Analysis, University of Naples "Federico II" ### Current Position - Deputy Division Chief, Statistics Department, Data Governance and Services Division ### IMF Publications ### IMF Books and Working Papers - [Using the Google Places API and Google Trends Data to Develop High Frequency Indicators of Economic Activity](https://www.imf.org/en/publications/wp/issues/2021/12/17/using-the-google-places-api-and-google-trends-data-to-develop-high-frequency-indicators-of-510876), Working Paper No. 2021/295 , December 17, 2021 - [Big Data on Vessel Traffic: Nowcasting Trade Flows in Real Time](https://www.imf.org/en/publications/wp/issues/2019/12/13/big-data-on-vessel-traffic-nowcasting-trade-flows-in-real-time-48837), Working Paper No. 2019/275 , December 13, 2019 - [New Estimates for Direction of Trade Statistics](https://www.imf.org/en/publications/wp/issues/2018/01/24/new-estimates-for-direction-of-trade-statistics-45582), Working Paper No. 2018/016 , January 24, 2018 - [Measure up: A Better Way to Calculate GDP](https://www.imf.org/en/publications/staff-discussion-notes/issues/2017/02/02/measure-up-a-better-way-to-calculate-gdp-44598), Staff Discussion Notes No. 2017/002 , February 2, 2017 - [Nowcasting Annual National Accounts with Quarterly Indicators: An Assessment of Widely Used Benchmarking Methods](https://www.imf.org/en/publications/wp/issues/2016/12/31/nowcasting-annual-national-accounts-with-quarterly-indicators-an-assessment-of-widely-used-43810), Working Paper No. 2016/071 , March 18, 2016 - [Quarterly GDP Revisions in G-20 Countries: Evidence from the 2008 Financial Crisis](https://www.imf.org/en/publications/wp/issues/2016/12/31/quarterly-gdp-revisions-in-g-20-countries-evidence-from-the-2008-financial-crisis-40368), Working Paper No. 2013/060 , March 7, 2013 - [On the Extrapolation with the Denton Proportional Benchmarking Method](https://www.imf.org/en/publications/wp/issues/2016/12/31/on-the-extrapolation-with-the-denton-proportional-benchmarking-method-26027), Working Paper No. 2012/169 , June 1, 2012 - [A Newton's Method for Benchmarking Time Series According to a Growth Rates Preservation Principle](https://www.imf.org/en/publications/wp/issues/2016/12/31/a-newton-s-method-for-benchmarking-time-series-according-to-a-growth-rates-preservation-25101), Working Paper No. 2011/179 , July 1, 2011 ### Other Published Materials - [Big Data on Vessel Traffic: Nowcasting Trade Flows in Real Time, IMF Working Paper, No. 19/275.](https://www.imf.org/en/Publications/WP/Issues/2019/12/13/Big-Data-on-Vessel-Traffic-Nowcasting-Trade-Flows-in-Real-Time-48837) - [Nowcasting Annual National Accounts with Quarterly Indicators : An Assessment of Widely Used Benchmarking Methods, Working Paper No. 16/71, March 18, 2016](https://www.imf.org/external/pubs/cat/longres.aspx?sk=43810.0) ### Non-IMF Publications ### Publications in Journals (Referred) - Benchmarking Time Series according to a Growth Rates Preservation Principle (with T. Di Fonzo), 2012, Journal of Economic and Social Measurement 37:3, pp. 225-252 - [Simultaneous and Two-step Reconciliation of Systems of Time Series: Methodological and Practical Issues (with T. Di Fonzo), 2011, Journal of the Royal Statistical Society, Applied Statistics (Series C), 60:2, pp. 143–164](http://onlinelibrary.wiley.com/doi/10.1111/j.1467-9876.2010.00733.x/abstract) - [Direct vs Indirect Forecasts of Foreign Trade Unit Value Indices (with G. Lutero), 2010, Rivista di Statistica Ufficiale, ISTAT, 2-3, pp. 73-96](http://www.istat.it/it/files/2011/09/2-3_2010_4.pdf) - Benchmarking Systems of Seasonally Adjusted Time Series (with T. Di Fonzo), 2005, Journal of Business Cycle Measurement and Analysis, 2:1, pp. 89-123 - [The Calendar Adjustment of Italian Quarterly National Accounts: Methodology and Presentation of Main Results (with F. Di Palma), 2004, Rivista di Statistica Ufficiale, ISTAT, 2, pp. 5-51](http://www.francoangeli.it/Riviste/Scheda_Rivista.aspx?idArticolo=26950) ### Publications in Books and Conference Volumes - [Macroeconomic Developments in China: The Statistical Challenges (with F. Zollino), 2013, in G. Gomel, D. Marconi, I. Musu, and B. Quintieri, Eds, The Chinese Economy. Recent Trends and Policy Issues: Springer](http://link.springer.com/book/10.1007/978-3-642-28638-4/page/1) - [Benchmarking and Movement Preservation: Evidences from Real-Life and Simulated Series, in Advances in Theoretical and Applied Statistics, 2013, Springer-Verlag Berlin Heidelberg](http://www.springer.com/us/book/9783642355875) - [A Newton’s Method for Benchmarking Time Series (with T. Di Fonzo), in Grigoletto et al. (eds.), Complex Models and Computational Methods in Statistics, Springer, 2013.](http://www.springer.com/statistics/statistical+theory+and+methods/book/978-88-470-2870-8) - [The Economic Integration of Candidate Countries in the European Union: an Analysis with a Three-level Dynamic Factor Model, 2007, in Gian Luigi Mazzi and Giovanni Savio, Eds, Growth and Cycle in the Eurozone: Palgrave Macmillan](http://www.palgrave.com/products/title.aspx?is=0230007902) ### Other Published Materials - [The Statistical Reconciliation of Time Series of Accounts after a Benchmark Revision (with B. Chen and T. Di Fonzo), 2014, Working Paper 2014-13, Bureau of Economic Analysis](http://www.bea.gov/papers/pdf/BCHEN_WP_2014.pdf) - [Combining Forecasts for a Flash Estimate of Euro area GDP (with F. Bacchini, A. Ciammola, and R. Iannaccone), 2010(3), Contributi ISTAT](http://www3.istat.it/dati/pubbsci/contributi/Contributi/contr_2010/03_2010.pdf) --- _Source: https://www.imf.org/en/research/researcher-cv/author/marini-marco_