TY - BOOK ID - 85504703 TI - New Estimates for Direction of Trade Statistics AU - Marini, Marco. AU - Dippelsman, Robert. AU - Stanger, Michael. PY - 2018 SN - 1484339142 148433910X PB - Washington, D.C. : International Monetary Fund, DB - UniCat KW - Exports and Imports KW - Time-Series Models KW - Dynamic Quantile Regressions KW - Dynamic Treatment Effect Models KW - Diffusion Processes KW - Optimization Techniques KW - Programming Models KW - Dynamic Analysis KW - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data KW - Data Access KW - Trade: General KW - Empirical Studies of Trade KW - Trade Policy KW - International Trade Organizations KW - International economics KW - Exports KW - Imports KW - Plurilateral trade KW - Trade balance KW - Direction of trade KW - Balance of trade KW - International trade UR - https://www.unicat.be/uniCat?func=search&query=sysid:85504703 AB - 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. ER -