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X-WR-CALDESC:Events for Economics Research
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DTSTART;TZID=Europe/London:20201001T130000
DTEND;TZID=Europe/London:20201001T134500
DTSTAMP:20260612T163452
CREATED:20200901T131004Z
LAST-MODIFIED:20200928T112745Z
UID:1865-1601557200-1601559900@research.reading.ac.uk
SUMMARY:Kaelo Ntwaepelo - "Assessing the Effects of Macroprudential Policy on the Core Objectives of Monetary Policy: Evidence From Emerging Economies" - PhD Seminar
DESCRIPTION:Abstract: \nMacroprudential policy instruments have several benefits for central banks to use in managing the financial cycle. Although there is research that examines their effects on output and inflation in emerging economies\, the quantified effects of the change in macroprudential policy actions remain unknown. This study therefore contributes to the existing literature by examining the effect of a one percentage point change in the loan-to-value (LTV) ratio on output and inflation\, in emerging economies. Using a novel macroprudential dataset by the International Monetary Fund (IMF)\, the research employs the local projection method (LPM) to estimate impulse responses to a change in LTV ratios\, for the period 1990Q1 to 2016Q4. The results are expected to indicate that macroprudential policy achieves the desired targets at a relatively small cost and therefore serve as a complementary policy tool that does not interfere with the core objectives of monetary in a major way.
URL:https://research.reading.ac.uk/economics/event/kaelo-ntwaepelo-assessing-the-effects-of-macroprudential-policy-on-the-core-objectives-of-monetary-policy-evidence-from-emerging-economies-phd-seminar/
LOCATION:Microsoft Teams
CATEGORIES:PhD Seminars
ORGANIZER;CN="Carl%20Singleton":MAILTO:c.a.singleton@reading.ac.uk
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DTSTART;TZID=Europe/London:20201001T134500
DTEND;TZID=Europe/London:20201001T143000
DTSTAMP:20260612T163452
CREATED:20200903T062757Z
LAST-MODIFIED:20200928T112720Z
UID:1873-1601559900-1601562600@research.reading.ac.uk
SUMMARY:Ifeatu Uzodinma - "Suppetias Ex Machina: Can AI Technologies Aid Financial Decision-Making of People with Low Socioeconomic Status?" - PhD Seminar
DESCRIPTION:Abstract: \nIn this conceptual paper\, we outline how individuals with low socioeconomic status are more vulnerable to making choices that undermine their welfare in economic decision environments that require an acceptable comprehension of risk. We propose that novel technologies\, specifically Artificial Intelligence\, can aid in improving financial decision making for individuals with low-risk comprehension and we suggest avenues where policy can leverage emerging Artificial Intelligence technologies to design specific choice architecture that aids more risk-aware decision-making for vulnerable socioeconomic groups. Lastly\, we discuss the ethics of utilizing nudges for vulnerable populations\, the limitations of our approach\, and how our study can pave the way for future research to improve decision making for socioeconomically vulnerable individuals into how decision-making of people subject to resource scarcity can be improved.
URL:https://research.reading.ac.uk/economics/event/ifeatu-uzodinma-suppetias-ex-machina-can-ai-technologies-aid-financial-decision-making-of-people-with-low-socioeconomic-status-phd-seminar/
LOCATION:Microsoft Teams
CATEGORIES:PhD Seminars
ORGANIZER;CN="Carl%20Singleton":MAILTO:c.a.singleton@reading.ac.uk
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