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X-ORIGINAL-URL:https://research.reading.ac.uk/economics
X-WR-CALDESC:Events for Economics Research
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TZID:Europe/London
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TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20210328T010000
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TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20211031T010000
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210304T130000
DTEND;TZID=Europe/London:20210304T134500
DTSTAMP:20260611T205943
CREATED:20210220T072351Z
LAST-MODIFIED:20210220T072351Z
UID:2213-1614862800-1614865500@research.reading.ac.uk
SUMMARY:Evripidis Bantis (ICMA) "Forecasting GDP Growth Rates Using Google Trends in the United States and Brazil" - PhD Seminar
DESCRIPTION:Abstract \nThere are many studies that explore the usefulness of “Big Data” in forecasting specific economic variables such as unemployment or inflation\, but only a few focus on the overall economic activity. Thus\, the purpose of this paper is to nowcast GDP growth rates by using a dynamic factor model based on traditional economic indicators as well as on Google search data. Our analysis covers Brazil and the United States over the period of 2005-2019. Moreover\, we employ several variable selection methods to investigate whether factor models with targeted predictors provide forecast gains when utilizing high dimensional datasets. Empirical results show that factor models with targeted predictors based on both economic indicators and Google search data provide forecast gains compared to factor models that are based only on economic indicators. When we isolate the source of forecast improvements\, we find that pre-selecting predictors indeed matters\, but gains appear mostly in forecast horizons and tend to vanish as we move to nowcasting and backcasting horizons. Finally\, only the main Google Trends categories provide forecast benefits\, while they appear to perform better for the United States rather than in Brazil.
URL:https://research.reading.ac.uk/economics/event/evripidis-bantis-icma-forecasting-gdp-growth-rates-using-google-trends-in-the-united-states-and-brazil-phd-seminar/
LOCATION:Microsoft Teams
CATEGORIES:PhD Seminars
ORGANIZER;CN="Carl%20Singleton":MAILTO:c.a.singleton@reading.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210305T143000
DTEND;TZID=Europe/London:20210305T160000
DTSTAMP:20260611T205943
CREATED:20210109T221500Z
LAST-MODIFIED:20210109T221500Z
UID:2136-1614954600-1614960000@research.reading.ac.uk
SUMMARY:Rob Simmons (ROSES)
DESCRIPTION:Title: \nTBC \nAbout ROSES: \n\nAn online series of sport economics seminars\, organised by James Reade\, Carl Singleton and Adrian Bell\, part of the Football Economics Research Group at the University of Reading.\nAll Seminars take place 2:30-4pm\, UK time\, and will take place on Microsoft Teams.\n\nJoining Instructions: \n\nSeminar via Microsoft Teams. Contact James Reade at j.j.reade@reading.ac.uk
URL:https://research.reading.ac.uk/economics/event/rob-simmons-roses/
CATEGORIES:ROSES
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210311T130000
DTEND;TZID=Europe/London:20210311T134500
DTSTAMP:20260611T205943
CREATED:20210303T210051Z
LAST-MODIFIED:20210303T210051Z
UID:2232-1615467600-1615470300@research.reading.ac.uk
SUMMARY:Anna Zabrodzka "Convergence Across EU Regions and the Role of the EU Cohesion Policy" - PhD Seminar
DESCRIPTION:Abstract \nWhile there is evidence that the poorest regions in the European Union experienced the fastest economic growth\, the gap between the richest and the poorest has not diminished. Additionally\, after more than 30 years of intervention\, there is no clear and conclusive evidence that the EU Cohesion Policy has effectively contributed to economic development across the disadvantaged Europe and ensured rising equality across the continent. The inconclusive or often contradictory results of the existing studies warrant further investigation. The aim of this study is to contribute to the discussion and evaluate the macroeconomic impact of the EU Cohesion Policy on the growth of European regions and the process of economic convergence. The study attempts to answer the following question – Is there evidence that the EU structural funds supported economic growth and in turn convergence process among European subnational regions? – by using cross-section\, panel and dynamic panel analysis and the newly available dataset on annual payments provided by the European Commission. The main contribution of this paper is the expansion of the data sample by the 2007-2014 programming period and inclusion of the regions in the Central and Eastern Europe\, which joined the EU in 2004 and 2007\, in the investigation.
URL:https://research.reading.ac.uk/economics/event/anna-zabrodzka-convergence-across-eu-regions-and-the-role-of-the-eu-cohesion-policy-phd-seminar/
LOCATION:Microsoft Teams
CATEGORIES:PhD Seminars
ORGANIZER;CN="Carl%20Singleton":MAILTO:c.a.singleton@reading.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210311T134500
DTEND;TZID=Europe/London:20210311T143000
DTSTAMP:20260611T205943
CREATED:20210228T105837Z
LAST-MODIFIED:20210228T105919Z
UID:2229-1615470300-1615473000@research.reading.ac.uk
SUMMARY:Jingqi Pan (ICMA) "On the estimation of Value-at-risk and Expected Shortfall at extreme levels" - PhD Seminar
DESCRIPTION:Abstract \nThe estimation of risk at extreme levels of significance (such as alpha = 0.01%) can be crucial considering events such as those related to the recent COVID-19 crisis. We extend two popular dynamic semi-parametric models of Patton (2019) that jointly estimate Value-at-Risk (VaR) and Expected Shortfall (ES)\, specifically the one-factor GAS model and the Hybrid GAS/GARCH model. The main idea of our approach is to estimate VaR and ES for two levels of alpha simultaneously\, namely for an extreme level and for a more common level (such as 10%). Our simulation results indicate that the proposed models outperform the benchmarks in terms of in-sample loss values\, out-of-sample loss and backtest rejections for extreme values of alpha. In an empirical study\, we apply the proposed augmented GAS model and the augmented Hybrid GAS/GARCH model to energy futures prices (WTI\, Brent\, Gas oil and Heating oil) and compare them with a range of parametric\, nonparametric and semiparametric models. Our results show that both augmented GAS models generally outperform the benchmark models\, and the outperformance is even more prominent during the COVID-19 crisis.
URL:https://research.reading.ac.uk/economics/event/jingqi-pan-icma-on-the-estimation-of-value-at-risk-and-expected-shortfall-at-extreme-levelsl-phd-seminar/
LOCATION:Microsoft Teams
CATEGORIES:PhD Seminars
ORGANIZER;CN="Carl%20Singleton":MAILTO:c.a.singleton@reading.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210312T143000
DTEND;TZID=Europe/London:20210312T160000
DTSTAMP:20260611T205943
CREATED:20210109T221517Z
LAST-MODIFIED:20210109T221517Z
UID:2137-1615559400-1615564800@research.reading.ac.uk
SUMMARY:Jan van Ours (ROSES)
DESCRIPTION:Title: \nCommon International Trends in Football Stadium Attendance \nAbout ROSES: \n\nAn online series of sport economics seminars\, organised by James Reade\, Carl Singleton and Adrian Bell\, part of the Football Economics Research Group at the University of Reading.\nAll Seminars take place 2:30-4pm\, UK time\, and will take place on Microsoft Teams.\n\nJoining Instructions: \n\nSeminar via Microsoft Teams. Contact James Reade at j.j.reade@reading.ac.uk
URL:https://research.reading.ac.uk/economics/event/jan-van-ours-roses/
CATEGORIES:ROSES
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210317T143000
DTEND;TZID=Europe/London:20210317T160000
DTSTAMP:20260611T205943
CREATED:20210109T222528Z
LAST-MODIFIED:20210109T222528Z
UID:2154-1615991400-1615996800@research.reading.ac.uk
SUMMARY:Joanna Clifton-Sprigg (External Seminar)
DESCRIPTION:
URL:https://research.reading.ac.uk/economics/event/joanna-clifton-sprigg-external-seminar/
CATEGORIES:External Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210318T134500
DTEND;TZID=Europe/London:20210318T140500
DTSTAMP:20260611T205943
CREATED:20210315T151723Z
LAST-MODIFIED:20210315T151723Z
UID:2250-1616075100-1616076300@research.reading.ac.uk
SUMMARY:Constance Liu (RHUL) "Explore the Decoy effect in Social Interacting games" - PhD Seminar (Short)
DESCRIPTION:
URL:https://research.reading.ac.uk/economics/event/constance-liu-rhul-explore-the-decoy-effect-in-social-interacting-games-phd-seminar-short/
LOCATION:Microsoft Teams
CATEGORIES:PhD Seminars
ORGANIZER;CN="Carl%20Singleton":MAILTO:c.a.singleton@reading.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210318T140500
DTEND;TZID=Europe/London:20210318T143000
DTSTAMP:20260611T205943
CREATED:20210315T152403Z
LAST-MODIFIED:20210315T152403Z
UID:2252-1616076300-1616077800@research.reading.ac.uk
SUMMARY:Jan Fleischhacker (RHUL) "Exploring joint fiscal decision making" - PhD Seminar (Short)
DESCRIPTION:
URL:https://research.reading.ac.uk/economics/event/jan-fleischhacker-rhul-exploring-joint-fiscal-decision-making-phd-seminar-short/
LOCATION:Microsoft Teams
CATEGORIES:PhD Seminars
ORGANIZER;CN="Carl%20Singleton":MAILTO:c.a.singleton@reading.ac.uk
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210319T143000
DTEND;TZID=Europe/London:20210319T160000
DTSTAMP:20260611T205943
CREATED:20210109T221542Z
LAST-MODIFIED:20210109T221542Z
UID:2138-1616164200-1616169600@research.reading.ac.uk
SUMMARY:S-TRAINING-ROSES @ 3pm (ROSES)
DESCRIPTION:Title: \nTBC \nAbout ROSES: \n\nAn online series of sport economics seminars\, organised by James Reade\, Carl Singleton and Adrian Bell\, part of the Football Economics Research Group at the University of Reading.\nAll Seminars take place 2:30-4pm\, UK time\, and will take place on Microsoft Teams.\n\nJoining Instructions: \n\nSeminar via Microsoft Teams. Contact James Reade at j.j.reade@reading.ac.uk
URL:https://research.reading.ac.uk/economics/event/s-training-roses-3pm-roses-2/
CATEGORIES:ROSES
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210324T143000
DTEND;TZID=Europe/London:20210324T160000
DTSTAMP:20260611T205943
CREATED:20210109T222457Z
LAST-MODIFIED:20210519T112312Z
UID:2153-1616596200-1616601600@research.reading.ac.uk
SUMMARY:Julia Wirtz (External Seminar)
DESCRIPTION:Title: Control\, cost\, and confidence: Perseverance and procrastination in the face of failure (joint w/ Inga Deimen) \nAbstract: We study effort provision and the development of control beliefs over time: a student is uncertain whether she has control over success through her effort or whether it is determined by her innate ability\, which she also does not know. In each period\, what she can learn about her control and her ability depends on the level of effort she exerts. We characterise the student’s optimal effort policy in this two-dimensional bandit problem\, which may feature repeated switching of the effort level. Moreover\, we analyse how control\, cost\, and confidence impact perseverance and procrastination in the face of failure. Finally\, we relate our results to findings in educational psychology and discuss policies to foster perseverance and to lower procrastination. \nWatch the recording
URL:https://research.reading.ac.uk/economics/event/julia-wirtz-external-seminar/
CATEGORIES:External Seminars
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20210326T143000
DTEND;TZID=Europe/London:20210326T160000
DTSTAMP:20260611T205943
CREATED:20210109T221604Z
LAST-MODIFIED:20210109T221604Z
UID:2139-1616769000-1616774400@research.reading.ac.uk
SUMMARY:Wray Vamplew (ROSES)
DESCRIPTION:Title: \nThe Emergence of Commercialisation in Sport (Or Was It Always There?) \nAbout ROSES: \n\nAn online series of sport economics seminars\, organised by James Reade\, Carl Singleton and Adrian Bell\, part of the Football Economics Research Group at the University of Reading.\nAll Seminars take place 2:30-4pm\, UK time\, and will take place on Microsoft Teams.\n\nJoining Instructions: \n\nSeminar via Microsoft Teams. Contact James Reade at j.j.reade@reading.ac.uk
URL:https://research.reading.ac.uk/economics/event/wray-vamplew-roses/
CATEGORIES:ROSES
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