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Monthly economic indicators support policy analysis of current economic developments and forecasting. This paper presents an overview of the data and statistical requirements to develop those indicators taking into account resource constraints that LIC typically face. We review statistical procedures for developing these indicators under the System of National Accounts and propose a general procedure to derive a monthly composite indicator of economic growth in low income economies.

Macroeconomics --- Statistics --- Measurement and Data on National Income and Product Accounts and Wealth --- Environmental Accounts --- Macroeconomics: Production --- General Aggregative Models: General --- General Financial Markets: General (includes Measurement and Data) --- Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data) --- Econometrics & economic statistics --- Economic growth --- National accounts --- Economic and financial statistics --- Production index --- Business cycles --- Production --- National income --- Economic statistics --- Economic theory --- Guatemala

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A Supply and Use Table (SUT) serve to increase the quality of GDP and related aggregates by providing a framework to detect and resolve inconsistencies in data sources. SUTs are also a powerful analytical tool that permit users to access information on detailed production functions, consumption, export, and import baskets, or to derive input-output tables. SUT compilation is data intensive and requires a balancing process. The balancing procedure is labor intensive and generally requires several long and sometimes tedious iterations, which has an adverse effect on timeliness. This note describes a basic algorithm developed by the IMF to balance supply and use tables automatically, allowing a much faster SUT balancing process. For training purposes, this algorithm has been implemented as an Excel tool SUTB, making it operational almost globally. The optimization process is illustrated with an example.

Input-output tables. --- Gross domestic product. --- Algorithms. --- Consumption --- Economics --- Exports and Imports --- Exports --- General Aggregative Models: General --- General Equilibrium and Disequilibrium: Input-Output Tables and Analysis --- Household consumption --- Imports --- Inflation --- Input-Output Models --- International economics --- International trade --- Macroeconomics --- Macroeconomics: Consumption --- Macroeconomics: Production --- Money --- National accounts --- National income --- Other Economic Systems: National Income, Product, and Expenditure --- Saving --- Trade: General --- Urban, Rural, and Regional Economics: Household Analysis: General --- Wealth --- Canada

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In March 2017, the IMF published an upgrade of its Direction of Trade Statistics (DOTS) dataset. This paper documents the new methodology that has been developed to estimate missing observations of bilateral trade statistics on a monthly basis. The new estimation procedure is founded on a benchmarking method that produces monthly estimates based on official trade statistics by partner country reported at different times and frequencies. In this paper we describe the new estimation methodology. Additional data sources have also been incorporated. We also assess the impact of the new estimates on trade measurement in DOTS at global, regional, and country-specific levels. Finally, we suggest some developments of DOTS to strenghten its relevance for IMF bilateral and multilateral surveillance.

Exports and Imports --- Time-Series Models --- Dynamic Quantile Regressions --- Dynamic Treatment Effect Models --- Diffusion Processes --- Optimization Techniques --- Programming Models --- Dynamic Analysis --- Methodology for Collecting, Estimating, and Organizing Macroeconomic Data --- Data Access --- Trade: General --- Empirical Studies of Trade --- Trade Policy --- International Trade Organizations --- International economics --- Exports --- Imports --- Plurilateral trade --- Trade balance --- Direction of trade --- Balance of trade --- International trade

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New Estimates for Direction of Trade Statistics.

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