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Western Hemisphere > Argentina

You are looking at 1 - 10 of 38 items for :

  • Type: Journal Issue x
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Cover Technical Notes and Manuals
Understanding Artificial Intelligence in Tax and Customs Administration
Joshua Aslett
,
Stuart Hamilton
,
Ignacio Gonzalez
,
David Hadwick
, and
Michael A Hardy
This technical note provides an overview of current thinking on artificial intelligence (AI) in tax and customs administration. Written primarily for senior officials, the intent of the note is to provide an awareness of AI that can help inform decision making and planning. The note opens with an exploration of historic and ongoing AI developments. It then provides an overview of legal and ethical concerns, AI use cases, guidance on how to promote AI's responsible use, and logic for introducing AI use cases into an operational setting. The note closes by presenting a selection of questions being debated by experts. In its annexes, the note includes (1) an example of an AI policy; (2) references to help develop AI strategy; and (3) methodology to risk assess AI use cases.
Keywords:
tax administration; customs administration; artificial intelligence; generative artificial intelligence; AI regulation; strategy and planning; use case; AI strategy; understanding AI; AI Policy; risk assessment; Tax administration core functions; Customs administration core functions; Training and development in revenue administration; Europe; Global
Cover IMF Staff Country Reports
Argentina: Eighth Review Under the Extended Arrangement Under the Extended Fund Facility, Requests for Modification of Performance Criteria, Waivers of Nonobservance of Performance Criteria, and Financing Assurances Review-Press Release; Staff Report; and Statement by the Executive Director for Argentina
International Monetary Fund. Western Hemisphere Dept.
This paper presents Argentina’s Eight Review under the Extended Arrangement under the Extended Fund Facility, Requests for Modification of Performance Criteria, Waivers of Nonobservance of Performance Criteria, and Financing Assurances Review. Sustaining progress requires improving the quality of fiscal adjustment, taking initial steps toward an enhanced monetary and foreign exchange policy framework, and implementing reforms to unlock growth, formal employment, and investment. Greater focus on micro-level reforms will help support the recovery and boost potential growth. The proposed reforms aimed at improving competitiveness, increasing labor market flexibility, and improving the predictability of the regulatory framework for investment, are steps in the right direction, and their approval and careful implementation should be a priority. Risks, although moderated, are still elevated, requiring agile policymaking. Contingency planning will remain critical, and policies will need to continue to adapt to evolving outcomes to safeguard stability and ensure all program objectives continue to be met.
Keywords:
FX policy; BCRA FX purchase; FX gap; cost recovery; FX access tax; Exchange restrictions; Public sector; Global
Cover IMF Working Papers
Cross-Border Payments Integration in Latin America and the Caribbean
Dimitris Drakopoulos
,
Yibin Mu
,
Dmitry Vasilyev
, and
Mauricio Villafuerte
Cross-border payment inefficiencies are a significant barrier to trade both within Latin America and the Caribbean (LAC) and between LAC and other regions. This paper provides a comprehensive review of historical efforts undertaken by various countries within the LAC region to address these challenges. We also explore the potential of recent financial innovations, such as digital currencies and blockchain technology, to enhance cross-border payments. While new technologies do not substitute for prudent and credible macroeconomic policies, leveraging these technologies can help LAC countries reduce transaction costs and times, thus enhancing economic efficiency and fostering deeper regional and global trade relationships.
Keywords:
Cross-Border Payments; Financial Innovation; International Trade; Economic Integration.; LAC payment infrastructure; payment arrangement; cross-border payment inefficiency; integration in Latin America and the Caribbean; cross-border payments integration; Payment systems; Currencies; Financial inclusion; Anti-money laundering and combating the financing of terrorism (AML/CFT); Caribbean; Central America; South America; Global; East Asia
Cover IMF Working Papers
Predicting IMF-Supported Programs: A Machine Learning Approach
Tsendsuren Batsuuri
,
Shan He
,
Ruofei Hu
,
Jonathan Leslie
, and
Flora Lutz
This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML prediction results relative to traditional econometric approaches, explores non-linear relationships among predictors indicative of IMF-supported programs, and evaluates model robustness with regard to different feature sets and time periods. ML models consistently outperform traditional methods in out-of-sample prediction of new IMF-supported arrangements with key predictors that align well with the literature and show consensus across different algorithms. The analysis underscores the importance of incorporating a variety of external, fiscal, real, and financial features as well as institutional factors like membership in regional financing arrangements. The findings also highlight the varying influence of data processing choices such as feature selection, sampling techniques, and missing data imputation on the performance of different ML models and therefore indicate the usefulness of a flexible, algorithm-tailored approach. Additionally, the results reveal that models that are most effective in near and medium-term predictions may tend to underperform over the long term, thus illustrating the need for regular updates or more stable – albeit potentially near-term suboptimal – models when frequent updates are impractical.
Keywords:
Early warning systems; IMF Lending; Machine Learning; IMF arrangement; ML model; machine learning approach; state-of-the-art machine learning; machine learning model; Emergency assistance; Data processing; Global financial crisis of 2008-2009; Global
Cover Policy Papers
Staff Guidance Note on Information Sharing in The Context of Sovereign Debt Restructurings
International Monetary Fund. Legal Dept.
and
International Monetary Fund. Strategy, Policy, & Review Department
The guidance note sets out principles governing information sharing in the context of sovereign debt restructurings. It restates the existing Fund governance and policy guidelines for information sharing to help inform and harmonize practices across Fund country teams. In addition to outlining guiding principles applicable to information sharing, it provides guidance on what level of information can be shared during each stage of the restructuring and program design process and in the surveillance context
Keywords:
confidentiality; debt relief; debt sustainability analysis; executive board documents; external debt; fund policies; policy framework papers; political economy; publications; public debt; transparency; draft debt sustainability analysis; transparency policy; Fund staff; Fund arrangement; draft DSA document; restructuring process; Fund-supported program; analysis act; Debt sustainability; Debt restructuring; Sovereign debt restructuring
Cover IMF Working Papers
Dissecting Economic Growth in Uruguay
Ms. Natasha X Che
Uruguay experienced one of its biggest economic booms in history during 2004-2014. Since then, growth has come down significantly. The paper investigates the various causes of the boom and discusses the sustainability of these causes. It then compares Uruguay against high-growth countries that were once at a similar income level, across a broad set of structural indicators, to identify priority reform areas that could improve long-term growth prospect.
Keywords:
economic growth; Uruguay; commodity price boom; sustainable growth; economy of Uruguay; WP; convergence record; income convergence; soybean export; terms of trade; Uruguay economy
Cover IMF Working Papers
Will the AI Revolution Cause a Great Divergence?
Cristian Alonso
,
Mr. Andrew Berg
,
Siddharth Kothari
,
Mr. Chris Papageorgiou
, and
Sidra Rehman
This paper considers the implications for developing countries of a new wave of technological change that substitutes pervasively for labor. It makes simple and plausible assumptions: the AI revolution can be modeled as an increase in productivity of a distinct type of capital that substitutes closely with labor; and the only fundamental difference between the advanced and developing country is the level of TFP. This set-up is minimalist, but the resulting conclusions are powerful: improvements in the productivity of “robots” drive divergence, as advanced countries differentially benefit from their initially higher robot intensity, driven by their endogenously higher wages and stock of complementary traditional capital. In addition, capital—if internationally mobile—is pulled “uphill”, resulting in a transitional GDP decline in the developing country. In an extended model where robots substitute only for unskilled labor, the terms of trade, and hence GDP, may decline permanently for the country relatively well-endowed in unskilled labor.
Keywords:
WP; production function; financial asset; Automation; robots; divergence; development; technological change; advanced economy; labor share; unskilled labor; developing economy; robot productivity; robot share; Robotics; Unskilled labor; Labor share; Skilled labor; Global; parameter e; unskilled-labor-saving technology
Cover IMF Research Perspectives
IMF Research Perspectives: Spring-Summer 2020
IMF Research Perspectives Spring-Summer 2020
Keywords:
IRB; worker; view IMF research; MARTINEZ PERIA interview
Cover Policy Papers
IMF Managing Director's Statement to the Development Committee, April 2019
International Monetary Fund
While growth in advanced economies is losing momentum amid trade tensions and policy uncertainty, activity in many emerging and low-income developing countries (EMDEs) has remained more robust, supported by still favorable financing conditions. Differences across EMDEs are large, however, and downside risks are building. Policy priorities include enhancing resilience in response to a more challenging global environment, creating fiscal space for essential development spending, containing debt vulnerabilities, and promoting strong and inclusive growth. Strengthening revenue generating capacity, enhancing public spending efficiency, and addressing infrastructure gaps are critical for reaching the 2030 Sustainable Development Goals.
Keywords:
PP; policy; financial support; debt; policy priority; debt limits policy; policy diagnostic; policy uncertainty; IMF support; debt vulnerability; Inclusive growth; Debt sustainability; Sustainable Development Goals (SDG); Global
Cover Finance & Development
Finance & Development, September 2018
International Monetary Fund. Communications Department
Finance and Development
Keywords:
FD; F&D; economy; IMF's Asia; government; coin; anti-corruption office