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16.19. Flows and stock data must be compiled for modes 2 and 4 quantitative indicators. Compilation of flow data requires attention to such issues as differences in coverage of data sources, methodology for making necessary adjustments, grossing up, etc., of gathered information so that the resulting statistics are a fair representation of the target population and are of sufficient quality. Stock data are connected with flow data, as they result from the accumulation of flows of previous periods and are changed by the inflows and outflows in the period under consideration. However, compiling a base or benchmark figure for the stock at a given time may be difficult, in particular given the high mobility of persons concerned. For stocks related to modes 2 or 4, presence in the compiling economy, the arrival of inbound persons or trips, would add to the inward stock, whereas those departing would subtract from the inward stock. For stocks related to modes 2 or 4, presence abroad, returning outbound persons or trips, would subtract from the outward stock, whereas those departing would add to the outward stock. Compilers need to ensure that such calculations are made at a specific and regular point in time within the period under consideration (e.g., beginning, middle or end of the period).
In this section:
C.1. Movements and stays of persons related to mode 4
C.2. Movements and stays of persons related to mode 2
Next: D. Linking services trade data with the business register
[1] Further information on definitions and recommendations on mode 2 and mode 4 can be found in chapter 1 of the present Guide as well as in chapters II and V of MSITS 2010.
[2] In general the transactions would be measured as trade in services (mode 4) in the BOP services account(see chap. 14, sect. C).
[3] The supply of the service to the client is through mode 3, and the transactions would be recorded by FATS as services output of foreign affiliates (see chap. 15).
[4] See also MSITS 2010, chap. V, section A.
[5] Either data would need to be grossed up to be representative of the whole population, or alternatively data could be used in a data model to be grossed up.
[6] For example, border surveys capture information about a particular individual on a given trip. Since a person can make several trips during the same reference period, the number of trips and the number of persons travelling are usually not the same.