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Western Hemisphere > Argentina

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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 Working Papers
A Primer on Bitcoin Cross-Border Flows: Measurement and Drivers
Eugenio M Cerutti
,
Jiaqian Chen
, and
Martina Hengge
The rapid growth of crypto assets raises important questions about their cross-border usage. To gain a better understanding of cross-border Bitcoin flows, we use raw data covering both on-chain (on the Bitcoin blockchain) and off-chain (outside the Bitcoin blockchain) transactions globally. We provide a detailed description of available methodologies and datasets, and discuss the crucial assumptions behind the quantification of cross-border flows. We then present novel stylized facts about Bitcoin cross-border flows and study their global and domestic drivers. Bitcoin cross-border flows respond differently than capital flows to traditional drivers of capital flows, and differences appear between on-chain and off-chain Bitcoin cross-border flows. Off-chain cross-border flows seem correlated with incentives to avoid capital flow restrictions.
Keywords:
Crypto assets; Bitcoin; Cross-border flows; Capital flows; bitcoin blockchain; capital flow restriction; bitcoin flow; cross-border flow; Bitcoin transaction; Blockchain and DLT; Currencies; Financial activity tax; Global
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 IMF Staff Country Reports
Chile: Selected Issues
International Monetary Fund. Western Hemisphere Dept.
This Selected Issues paper studies renewable energy and attempts to estimate the gross domestic product (GDP) impact and assesses the role of policies in Chile. Chile has a comparative advantage in renewable energy. IMF estimates show that replacing coal power with solar and wind power, as announced by the government, could boost the long-term GDP level by at least 1 percentage point. The analysis indicates that the benefits of having targeted support for the transmission of electricity exceed costs. An additional benefit is the greater economic resilience to abrupt increases in coal and fuel prices that can have large negative impacts on the economy. A key constraint for the renewable energy sector is currently the transmission from where it is produced to where it is used. A cost-benefit analysis shows that state support industries, such as electricity transmission, may have economic benefits that outweigh the costs.
Keywords:
GDP impact; solvency risk; Chilean bank; Fintech firm; cybersecurity risk; Electricity; Cyber risk; Fintech; Energy sector; Financial inclusion; Global
Cover IMF Working Papers
Crypto Assets and CBDCs in Latin America and the Caribbean: Opportunities and Risks
Maximiliano Appendino
,
Olga Bespalova
,
Ms. Rina Bhattacharya
,
Jean François Clevy
,
Ms. Nan Geng
,
Mr. Takuji Komatsuzaki
,
Justin Lesniak
,
Weicheng Lian
,
Ms. Sandra Marcelino
,
Mr. Mauricio Villafuerte
, and
Mr. Yorbol Yakhshilikov
After providing a general overview of the nature, pros, and cons of crypto assets and CBDCs, this paper focuses on documenting their recent experience in LAC. The region records a high interest in unbacked crypto assets and stablecoins and its authorities’ policy responses have varied substantially, ranging from the introduction of Bitcoin as legal tender in El Salvador to their prohibition in many other countries worried about their impact on financial stability, currency/asset substitution, tax evasion, corruption, and money laundering. This paper also describes briefly the results of a survey on CBDCs’ introduction plans and crypto assets regulation. Finally, this paper presents some general lessons and policy recommendations for the region on the regulation of cypto assets, digital currencies and cross-border payments, and on the potential introduction of CBDCs.
Keywords:
crypto assets regulation; asset substitution; CBDCs in Latin America and the Caribbean; Policy recommendation; cypto assets; IMF working paper 23/37; Virtual currencies; Central Bank digital currencies; Digital currencies; Payment systems; Currencies; Caribbean; Central America; South America; Global
Cover Policy Papers
Safeguards Assessments - 2022 Review of Experience
International Monetary Fund. Finance Dept.
This paper reviews experience with the safeguards assessment policy since the last review in 2015. The policy is subject to periodic reviews by the Executive Board. The policy’s main objective is to mitigate risks of misuse of Fund resources and misreporting of monetary data under Fund arrangements. Consistent with past reviews, an external panel of experts provided an independent perspective on the implementation of the policy.
Keywords:
IMF purchase; safeguards Assessments policy; Policy evolution; assessment finding; control framework; safeguards assessments policy; External audit; Internal audit; Auditing; Central bank governance; Central Bank digital currencies; Middle East and Central Asia; Western Hemisphere; Asia and Pacific; Global; Caribbean
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 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
Cover Finance & Development
Finance & Development, September 2018
International Monetary Fund. Communications Department
This paper discusses that from shifting demographics to climate change, Southeast Asia confronts a host of challenges. Summoning them will require both resilience and flexibility. Advances in artificial intelligence, including robotics, together with innovations such as 3-D printing and new composite materials, will transform manufacturing processes, making them less labor-intensive while creating opportunities for new products. This will enable new ways of making things and change the drivers of competitiveness. There will be indirect effects as well. For example, aircraft manufacturers, taking advantage of new composite materials such as carbon fibers, have developed a class of superlong-haul aircraft that could bring more tourists to Southeast Asia as relatively cheap point-to-point travel options emerge. The region should still enjoy synergies from globalization and other modes of economic integration, but the form and shape of such integration could change. For Southeast Asia, the next couple of decades could prove exhilarating in terms of the opportunities presented by technology and global growth, but also tumultuous because of the continuing risks, such as those posed by an unreformed and unstable international financial architecture. There clearly is much hard work to be done. Policymakers still have not gotten everything right, but they are heading in the right direction.
Keywords:
FD; F&D; economy; IMF's Asia; government; coin; anti-corruption office; shrinking world trade of the Great Depression; policy recommendation; coin design; remittance trap; Gender diversity; Climate change; Women; Southeast Asia; Global; Asia and Pacific; Sub-Saharan Africa; Mekong
Cover IMF Working Papers
Terms-of-Trade Cycles and External Adjustment
Gustavo Adler
,
Mr. Nicolas E Magud
, and
Alejandro M. Werner
We study the process of external adjustment to large terms-of-trade level shifts—identified with a Markov-switching approach—for a large set of countries during the period 1960–2015. We find that adjustment to these shocks is relatively fast. Current accounts experience, on average, a contemporaneous variation of only about ½ of the magnitude of the price shock—indicating a significant volume offset—and a full adjustment within 3–4 years. Dynamics are largely symmetric for terms-of-trade booms and busts, as well as for advanced and emerging market economies. External adjustment is driven primarily by offsetting shifts in domestic demand, as opposed to variations in output (also reflected in the response of import rather than export volumes), indicating a strong income channel at play. Exchange rate flexibility appears to have played an important buffering role during booms, but less so during busts; while international reserve holdings have been a key tool for smoothing the adjustment process.
Keywords:
WP; commodity exporter; current account balance; exchange rate regime; terms of trade; external adjustment; current account; commodity importer; imports volume; current account response; current account dynamics; commodity price swing; Technology transfer; Exchange rate arrangements; Adjustment process; Exchange rate flexibility; Global