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International Monetary Fund. Statistics Dept.
A technical Assistance (TA) Mission was conducted by CAPTAC-DR1 from May 14 to 18, 2018 with the objective of supporting the Central Reserve Bank of El Salvador (CBR) in its efforts to strengthen its national accounts statistics for decision making. The TA mission covered the following topics: compilation of an Input-Output Table (IOT) for 2014; as well as to follow up on the recommendations made in previous TA missions to disseminate Supply and Use Tables (SUT) for 2015 and thereafter, as part of the national accounts’ series with base year 2005. In addition, the mission provided training to the Department of National Accounts (DNA) team of the CBR in the methodological and conceptual aspects necessary for the analysis and application of the IOT as a statistical and analytical tool.
Manasa Patnam and Weijia Yao
Mobile money services have rapidly expanded across emerging and developing economies and enabled new ways through which households and firms can conduct payments, save and send remittances. We explore how mobile money use can impact economic outcomes in India using granular data on transactions from Paytm, one of the largest mobile money service provider in India with over 400 million users. We exploit the period around the demonetization policy, which prompted a surge in mobile money adoption, and analyze how mobile money affects traditional risk-sharing arrangements. Our main finding is that mobile money use increases the resilience to shocks by dampening the impact of rainfall shocks on nightlights-based economic activity and household consumption. We complement these findings by conducting a firm survey around a phased targeting intervention which incentivized firms to adopt the mobile payment technology. Our results suggest that firms adopting mobile payments improved their sales after six-months of use, compared to other firms. We also elicit firms’ subjective expectations on future sales and find mobile payment adoption to be associated with lower subjective uncertainty and greater sales optimism.
Mr. Andrew Baer, Mr. Kwangwon Lee, and James Tebrake
Digitalization and the innovative use of digital technologies is changing the way we work, learn, communicate, buy and sell products. One emerging digital technology of growing importance is cloud computing. More and more businesses, governments and households are purchasing hardware and software services from a small number of large cloud computing providers. This change is having an impact on how macroeconomic data are compiled and how they are interpreted by users. Specifically, this is changing the information and communication technology (ICT) investment pattern from one where ICT investment was diversified across many industries to a more concentrated investment pattern. Additionally, this is having an impact on cross-border flows of commercial services since the cloud service provider does not need to be located in the same economic territory as the purchaser of cloud services. This paper will outline some of the methodological and compilation challenges facing statisticians and analysts, provide some tools that can be used to overcome these challenges and highlight some of the implications these changes are having on the way users of national accounts data look at investment and trade in commercial services.
Mr. Balazs Csonto, Yuxuan Huang, and Mr. Camilo E Tovar Mora
This paper examines the extent to which digitalization—measured by a new proxy based on IP addresses allocations per country—has influenced inflation dynamics in a sample of 36 advanced and emerging economies over 2000-2017. Phillips curve estimates show that digitalization has a statistically significant negative effect on inflation in the short run. Its economic impact is not large but has increased since 2012 and mainly operates through a cost/competition channel. Principal components and cointegration analysis further suggest digitalization is a key driver of lower trend inflation.
International Monetary Fund
This supplement provides background information on various aspects of capacity development (CD) for the main Board paper, The Fund’s Capacity Development Strategy—Better Policies through Stronger Institutions. It is divided into nine notes or sections, each focused on a different topic covered in the main paper. Section A explores the importance of institutions for growth, and the role the Fund can play in building institutions. Section B presents stylized facts about how the landscape for CD has changed since the late 1990s. Section C discusses the difficulties of analyzing CD data because of measurement issues. Section D provides a longer-term perspective on how Fund CD has responded to member needs. Section E contains information on previous efforts to prioritize CD, assesses Regional Strategy Notes (RSNs) and country pages, and suggests ways to strengthen RSNs, including by using the Fund’s surveillance products. Section F compares the technical assistance (TA) funding model proposed in the 2011

The sensitivity (i.e., elasticity and built-in flexibility) of the U. S. individual income tax to changes in national income is of great interest to researchers and policymakers. However, the direct measurement of this sensitivity—that is, the measurement obtained from time-series observations of the relevant variables—has always been difficult, and even at times impossible, because changes in the legal structure of the tax have been too frequent to provide enough observations that relate to the same legal structure to allow statistically significant coefficients to be determined. This was particularly true in the United States before 1954, when the rates were changed frequently; it has also been true since 1963, when important changes occurred in rates, personal exemptions, deductions, and other features. In contrast, during the period between 1954 and 1963, hardly any significant statutory changes occurred in the tax.