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Brian Graf

at the same time of the day. Price collection can be limited to a certain week of the month, for example, during the middle of the month, or it can be spread over several weeks of the month according to some pattern, for example, in different weeks in different regions or for different product groups. 4.69 If prices are known to fluctuate considerably during a month, then an increased price collection frequency should be considered. In this case, it can make sense to collect prices once a week or sometimes once a day instead of once a month, as practical. This

International Monetary Fund

ANNEXES ANNEX I. 2008 RESULTS MATRIX Results Indicators Indicators Type MDG Target 2015 Baseline Value Achievements GPRSF Target Sources of Verification Method of Data Collection Frequency Responsible 2006 2007 2008 Forecasts 2008 Achievement Rate 2008 Collection Analysis Poverty and Food Security Promote strong and sustained growth, and reduce poverty significantly Poverty The poverty level declined 1

International Monetary Fund
Following an evaluation of the first Poverty Reduction Strategy Framework (PRSF) of Mali, the government adopted the Growth and Poverty Reduction Strategy Framework (GPRSF) document, which aims at reducing poverty and achieving the MDGs. The Accelerated Growth Strategy, which maintains macroeconomic stability and pursues structural reforms, is based on improvement of governance and renewal of public action, development of productive and private sectors, and investment in human resources. The GPRSF groups provide details regarding implementation of sector policies and strategies, budget implementation status, and recommendations. It is recommended to ensure monitoring-evaluation of poverty reduction activities through the GPRSF action plan.
Brian Graf

weights. 5.203 Annex 5.6 provides more details on web scraping. Calculation of Average Price from Different Data Sources in the Elementary Aggregate 5.204 Another aspect to be taken into consideration when combining traditional data sources with web-scraped data refers to the different collection frequencies. Traditional price collection deals with price “snapshots” scheduled in such a way that the price series for a product in an outlet respects both frequency and equidistance with regard to time. In contrast, one of the perceived advantages of web

International Monetary Fund

studies X X X X HBS sample limitations; CPI-review collection frequency and outlet samples for some items HBS requires much imputation, some high sampling errors; CPI excludes dwelling ownership Compilation of CPI imported component useful No recompilation of past data based on revised weights. 4. Serviceability 4.1 Relevance 4.2 Timeliness and periodicity 4.3 Consistency 4.4 Revision policy and practice X X X X Broadening of functions of CPI expert group, and CPI user survey would be useful 5. Accessibility 5

International Monetary Fund

, it is possible to work with cost controls to determine affordable sample sizes and collection frequency at the expense of accuracy. (ii) Identify sources to use to develop a sampling frame for selecting the establishments and products for covered sectors and industries . 5.98 The availability of an up-to-date business register with appropriate selection parameters (for example, industrial codes and measures of size) could serve as a source for developing sampling frames for selected industries. Many of the sources of weight data discussed in chapter 4 also

International Monetary Fund

prices can be observed quarterly, for example. 6.16 The choice of collection frequency is determined by issues such as costs and the periodicity needed for deflation of output or sales data. In the EU, members are required to provide monthly data to the Statistical Office of the European Communities (Eurostat) under the short-term indicators regulation. Normally, prices will be collected from every producer in the sample for each time period. This will ensure that all price changes are captured by the PPI. 6.17 While collecting prices for every period is

International Monetary Fund. Statistics Dept.
At the request of the Reserve Bank of New Zealand (RBNZ), and with the support of the IMF’s Asia & Pacific Department (APD), a monetary and financial statistics (MFS) technical assistance (TA) mission visited Wellington, New Zealand during October 1–12, 2018.1 The mission’s main objectives were to assist the RBNZ to: (i) complete the central bank Standardized Report Form (SRF 1SR); (ii) review the source data and bridge table used to produce Other Depository Corporations (ODCs) Standardized Report Form (SRF 2SR);(iii) assist the RBNZ to produce additional historical data in the SRFs 1SR and 2SR for the past five years; (iv) review the available source data for the compilation the Other Financial Corporations (OFCs) Standardized Report Form (SRF 4SR); (v) prepare metadata for the central bank, ODC, and OFC surveys; and (vi) agree on a timetable for RBNZ’s SRF-reporting of its MFS.
International Monetary Fund. Statistics Dept.

are required to submit a March annual return by the last business day of April. Because the collection frequency and compilation of balance sheet data differ from those of RBs, SIs, and DTFCs, the RBNZ has technical challenges adding this sector to the coverage of ODCs. Monthly data for cash management trusts will have to be estimated from quarterly values. This can be done by carrying forward the quarterly reported stock values for intervening and current months. SU will regularly monitor the size of the independent cash management trusts and, when material

International Monetary Fund

price index should do the same. It may be that for particular (homogeneous) commodities unit values are used while point-in-time prices are used in other instances. B.4 Frequency 7.17 A distinction can be made between the frequency of collection and timing of observations. Monthly prices can be observed, for example, quarterly. The choice of collection frequency is determined by issues such as costs and the periodicity needed for deflation of output or sales data. In the European Union (EU), members are required to provide monthly data to the Statistical