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Author: Andras Komaromi
Publisher: International Monetary Fund
ISBN:
Category :
Languages : en
Pages : 37
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Book Description
The International Monetary Fund (IMF) has expanded its online learning program, offering over 100 Massive Open Online Courses (MOOCs) to support economic and financial policymaking worldwide. This paper explores the application of Artificial Intelligence (AI), specifically Large Language Models (LLMs), to analyze qualitative feedback from participants in these courses. By fine-tuning a pre-trained LLM on expert-annotated text data, we develop models that efficiently classify open-ended survey responses with accuracy comparable to human coders. The models’ robust performance across multiple languages, including English, French, and Spanish, demonstrates its versatility. Key insights from the analysis include a preference for shorter, modular content, with variations across genders, and the significant impact of language barriers on learning outcomes. These and other findings from unstructured learner feedback inform the continuous improvement of the IMF's online courses, aligning with its capacity development goals to enhance economic and financial expertise globally.
Author: Andras Komaromi
Publisher: International Monetary Fund
ISBN:
Category :
Languages : en
Pages : 37
Get Book Here
Book Description
The International Monetary Fund (IMF) has expanded its online learning program, offering over 100 Massive Open Online Courses (MOOCs) to support economic and financial policymaking worldwide. This paper explores the application of Artificial Intelligence (AI), specifically Large Language Models (LLMs), to analyze qualitative feedback from participants in these courses. By fine-tuning a pre-trained LLM on expert-annotated text data, we develop models that efficiently classify open-ended survey responses with accuracy comparable to human coders. The models’ robust performance across multiple languages, including English, French, and Spanish, demonstrates its versatility. Key insights from the analysis include a preference for shorter, modular content, with variations across genders, and the significant impact of language barriers on learning outcomes. These and other findings from unstructured learner feedback inform the continuous improvement of the IMF's online courses, aligning with its capacity development goals to enhance economic and financial expertise globally.
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Author: Mr.Yan Carriere-Swallow
Publisher: International Monetary Fund
ISBN: 1513514814
Category : Computers
Languages : en
Pages : 50
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Book Description
This SPR Departmental Paper will provide policymakers with a framework for studying changes to national data policy frameworks.
Author: Adrian Peralta-Alva
Publisher: International Monetary Fund
ISBN: 1484379705
Category : Business & Economics
Languages : en
Pages : 29
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Book Description
This paper uses a DSGE model to simulate the impact of technological change on labor markets and income distribution. It finds that technological advances offers prospects for stronger productivity and growth, but brings risks of increased income polarization. This calls for inclusive policies tailored to country-specific circumstances and preferences, such as investment in human capital to facilitate retooling of low-skilled workers so that they can partake in the gains of technological change, and redistributive policies (such as differentiated income tax cuts) to help reallocate gains. Policies are also needed to facilitate the process of adjustment.
Author: Harry Anthony Patrinos
Publisher: World Bank Publications
ISBN: 0821379038
Category : Education
Languages : en
Pages : 116
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Book Description
The book offers an overview of international examples, studies, and guidelines on how to create successful partnerships in education. PPPs can facilitate service delivery and lead to additional financing for the education sector as well as expanding equitable access and improving learning outcomes.
Author: International Monetary Fund
Publisher: International Monetary Fund
ISBN: 1513511726
Category : Business & Economics
Languages : en
Pages : 122
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Book Description
The audited consolidated financial statements of the International Monetary Fund as of April 30, 2019 and 2018
Author: Parma Bains
Publisher: International Monetary Fund
ISBN: 1616358289
Category : Business & Economics
Languages : en
Pages : 26
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Book Description
Technology plays an increasingly important role in financial services. With the pace of technological inno-vation moving ever faster, the role new technology plays in the provision of financial services is becoming increasingly fundamental. New technology can generate efficiencies for firms, lowering costs that can be passed on to end users. It can increase access to financial services and products for consumers, particularly the most vulnerable; however, new technology can also create new risks and unintended consequences that can harm financial stability, consumer protection, and market integrity. This primer is designed for financial supervisors at central banks, regulatory authorities, and government departments. It adds to existing literature by summarizing key aspects of popular consensus mechanisms at a high level, with a specific focus on how such mechanisms may impact the mandates of supervisors and policymakers when deployed in financial services markets. It could also help inform IMF staff on policy development and technical assistance related to crypto assets, stablecoins, and blockchains.
Author: Marc Bacchetta
Publisher:
ISBN: 9789287038128
Category : Political Science
Languages : en
Pages : 0
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Book Description
Trade flows and trade policies need to be properly quantified to describe, compare, or follow the evolution of policies between sectors or countries or over time. This is essential to ensure that policy choices are made with an appropriate knowledge of the real conditions. This practical guide introduces the main techniques of trade and trade policy data analysis. It shows how to develop the main indexes used to analyze trade flows, tariff structures, and non-tariff measures. It presents the databases needed to construct these indexes as well as the challenges faced in collecting and processing these data, such as measurement errors or aggregation bias. Written by experts with practical experience in the field, A Practical Guide to Trade Policy Analysis has been developed to contribute to enhance developing countries' capacity to analyze and implement trade policy. It offers a hands-on introduction on how to estimate the distributional effects of trade policies on welfare, in particular on inequality and poverty. The guide is aimed at government experts engaged in trade negotiations, as well as students and researchers involved in trade-related study or research. An accompanying DVD contains data sets and program command files required for the exercises. Copublished by the WTO and the United Nations Conference on Trade and Development
Author: Andrea Ciani
Publisher: World Bank Publications
ISBN: 1464815585
Category : Business & Economics
Languages : en
Pages : 187
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Book Description
Economic and social progress requires a diverse ecosystem of firms that play complementary roles. Making It Big: Why Developing Countries Need More Large Firms constitutes one of the most up-to-date assessments of how large firms are created in low- and middle-income countries and their role in development. It argues that large firms advance a range of development objectives in ways that other firms do not: large firms are more likely to innovate, export, and offer training and are more likely to adopt international standards of quality, among other contributions. Their particularities are closely associated with productivity advantages and translate into improved outcomes not only for their owners but also for their workers and for smaller enterprises in their value chains. The challenge for economic development, however, is that production does not reach economic scale in low- and middle-income countries.Why are large firms scarcer in developing countries? Drawing on a rare set of data from public and private sources, as well as proprietary data from the International Finance Corporation and case studies, this book shows that large firms are often born large—or with the attributes of largeness. In other words, what is distinct about them is often in place from day one of their operations. To fill the “missing top” of the firm-size distribution with additional large firms, governments should support the creation of such firms by opening markets to greater competition. In low-income countries, this objective can be achieved through simple policy reorientation, such as breaking oligopolies, removing unnecessary restrictions to international trade and investment, and establishing strong rules to prevent the abuse of market power. Governments should also strive to ensure that private actors have the skills, technology, intelligence, infrastructure, and finance they need to create large ventures. Additionally, they should actively work to spread the benefits from production at scale across the largest possible number of market participants.This book seeks to bring frontier thinking and evidence on the role and origins of large firms to a wide range of readers, including academics, development practitioners and policy makers.
Author: Majid Bazarbash
Publisher: International Monetary Fund
ISBN: 1498316034
Category : Business & Economics
Languages : en
Pages : 34
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Book Description
Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financial inclusion and outperform traditional credit scoring by (1) leveraging nontraditional data sources to improve the assessment of the borrower’s track record; (2) appraising collateral value; (3) forecasting income prospects; and (4) predicting changes in general conditions. However, because of the central role of data in ML-based analysis, data relevance should be ensured, especially in situations when a deep structural change occurs, when borrowers could counterfeit certain indicators, and when agency problems arising from information asymmetry could not be resolved. To avoid digital financial exclusion and redlining, variables that trigger discrimination should not be used to assess credit rating.
