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Title | Giuseppe |
Description | Home CV Papers Code Data Teaching Blog Giuseppe Ragusa Github Google Scholar I am an Associate Professor of Economics at the Department of Economics and L |
Keywords | N/A |
WebSite | gragusa.org |
Host IP | 185.199.108.153 |
Location | - |
Site | Rank |
US$521,435
Last updated: 2023-05-14 03:43:03
gragusa.org has Semrush global rank of 20,298,424. gragusa.org has an estimated worth of US$ 521,435, based on its estimated Ads revenue. gragusa.org receives approximately 60,166 unique visitors each day. Its web server is located in -, with IP address 185.199.108.153. According to SiteAdvisor, gragusa.org is safe to visit. |
Purchase/Sale Value | US$521,435 |
Daily Ads Revenue | US$482 |
Monthly Ads Revenue | US$14,440 |
Yearly Ads Revenue | US$173,277 |
Daily Unique Visitors | 4,012 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
gragusa.org. | A | 600 | IP: 185.199.108.153 |
gragusa.org. | NS | 3600 | NS Record: ns70.domaincontrol.com. |
gragusa.org. | NS | 3600 | NS Record: ns69.domaincontrol.com. |
gragusa.org. | MX | 3600 | MX Record: 20 in2-smtp.messagingengine.com. |
gragusa.org. | MX | 3600 | MX Record: 10 in1-smtp.messagingengine.com. |
Home CV Papers Code Data Teaching Blog Giuseppe Ragusa Github Google Scholar I am an Associate Professor of Economics at the Department of Economics and Law at Sapienza the University of Rome . I am also a guest lecturer at the London Business School . Before joining the Sapienza University of Rome, I held tenure-track positions at Rutgers University, the University of California, Irvine, Luiss University, and the University of Pisa. From 2015 to 2017, I was a Senior Economist at the Monetary Strategy Division of the European Central Bank. I received my Ph.D. in Economics from the University of California, San Diego. My undergraduate education is from Bocconi University. My most recent research interests include: time series, economic forecasting, approximate bayesian inference, and machine learning applications to economics and finance. I teach undergraduate and graduate Econometrics, Time Series, and Machine Learning courses. These courses use Julia, R, and Python as software. On |
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