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Harmonization and integration of data sources, concepts and methods Even though much progress has been made in recent years on the production of basic statistics to capture the impact of climate hazards, critical gaps remain in the production of reli- able data series that are consistent over time and comparable across the various research domains. (...) Building an interface of data sources and methods, es- pecially between official national statistics and global geospa- tial information, is critical for the production of integrated data series. Although complex statistical sources and methods such as population censuses and surveys are widely used in all countries to monitor population and its social and eco- nomic characteristics, they cannot be easily integrated with the wide variety of sources and methods used in geospatial measurement and environmental conditions.
Language:English
Score: 805286.96 - https://www.un.org/development...sites/45/post/WESS2016-PB6.pdf
Data Source: un
In drafting these quality criteria, CBS looked extensively at quality guidelines for statistics as established by CBS, Eurostat/European Statistical System (ESS) and OECD. (...) If the data have been processed: are the methods well-founded and well- described? Are they scientifically justified/verified? (...) No score is assigned for independence/transparency of the organization providing the data, but there are a number of hard conditions: organization/method of governance and financial governance must be autonomous and information about these and about (accountability) of supervisory structures, financing, methods and processes must be publicly accessible.
Language:English
Score: 803950.3 - https://unece.org/sites/defaul...xternally%20sourced%20data.pdf
Data Source: un
The annex is also designed to provide an introduction for the statisticians in various national statistical offices who may currently be involved in consumer price index (CPI) compilation to the issues and methods involved in spatial comparisons of consumer prices. (...) The method is a simple statistical device that can be used in deriving the PPPs for a particular basic heading by simply regressing the logarithm of observed prices against a set of dummy variables, defined with respect to commodities and countries. (...) Efforts are being channelled into finding suitable statistical methods that can be used in the measurement of price-level changes leading to reductions in potential biases.
Language:English
Score: 803905.6 - https://www.ilo.org/public/eng.../stat/download/cpi/spatial.pdf
Data Source: un
In order to strengthen ourselves, we have to build relations with the United Nations Statistics Commission and increase our view on the methods that are emerging from there. With the Africa Symposium for Statistical Development and other initiatives, we found ourselves moving much faster and catching up in our methods. (...) In South Africa, the sector is fairly small, but we still have a method to measure it.  Overall, what’s your message to our readers on the importance of statistics?
Language:English
Score: 803498.54 - https://www.un.org/africarenew...rican-statistics-have-come-age
Data Source: un
“Seasonal Products in Agriculture and Horticulture and Methods for Computing Price Indices”, in Statistical Studies No. 24 (The Hague: Netherlands Central Bureau of Statistics). –––. 1980b. (...) Divisia Price and Quantity Indexes 75 Years After, Draft Paper, Department of Statistical Methods (Voorburg: Statistics Netherlands). –––. 2000b. On Curing the CPI’s Substitution and New Goods Bias, Research Paper 0005, Department of Statistical Methods (Voorburg: Statistics Netherlands). –––. 2001.
Language:English
Score: 803379.25 - https://www.ilo.org/public/eng...oad/cpi/corrections/biblio.pdf
Data Source: un
PowerPoint Presentation Harmonizing methodologies and improving data: The role of the Statistical Commission Stefan Schweinfest Director UN Statistics Division/DESA Follow-up and review of the global migration compact – data needs • “Collect and utilize accurate and disaggregated data as a basis for evidence-based policies” – Global compact for safe, orderly and regular migration, zero draft, objective 1 • “We recognize the importance of improved data collection, particularly by national authorities, and will enhance international cooperation to this end, including through capacity-building, financial support and technical assistance.” – New York Declaration for Refugees and Migrants Connecting with existing framework – the 2030 Agenda for Sustainable Development – For the 1st time, international migration was explicitly mentioned in a global development framework of the UN – “safe, orderly and regular migration” (Target 10.7) – “By 2020, enhance capacity-building support to developing countries, including for least developed countries and small island developing States, to increase significantly the availability of high-quality, timely and reliable data disaggregated by income, gender, age, race, ethnicity, migratory status, disability, geographic location and other characteristics …” (Target 17.18) Follow-up and reviews: lessons learned from the SDG indicator framework • IAEG-SDGs: Coordination • The Global Indicator Framework – Adopted by the Statistical Commission, ECOSOC and GA in 2017 – A tier system – Yearly refine and periodical comprehensive review – Complemented by regional and national indicators • What constitutes a good indicator? • Relevant • Methodologically sound • Measurable • Comparable and sustainable • Easy to communicate and access Follow-up and reviews: lessons learned from the SDG indicator framework (cont.) • The Sustainable Development Goals Report and the global database • Proper data flow – transparency and comparability • Capacity building – Cape Town Global Action Plan for Sustainable Development Data • World data forum – private sectors, academia, civil society, government officials United Nations Statistical Commission • Established in 1947, highest body of the global statistical system • Chief statisticians of member states, regional and international agencies • Mandates: • Setting statistical standards and developing concepts and methods; • Coordinating statistical work in various areas; • Promoting the development of national statistical systems United Nations Statistics Division Collecting, processing and dissemination of statistical information Standardization of statistical methods, classifications and definitions Capacity building Coordination of international statistical programmes and activities and collaboration with partners UNSD’s work on international migration statistics • Collects/publishes data on migration flows/stocks since 1949 • Develops methods: • Recommendations on Statistics of International Migration, Rev. 1 (1989) • Handbook on Measuring International Migration through Population Censuses (2017) • International Recommendations on Refugee Statistics (2018) • Coordinates activities under the 2020 World Population and Housing Census Programme • Principles and Recommendations for Population and Housing Censuses + accompanying handbooks • Leads methodological work on SDG indicator disaggregation by migratory status • The Expert Group on Migration Statistics • Builds capacity: Regional workshops and the Development Account Project on migration statistics Slide Number 1 Follow-up and review of the global migration compact – data needs Connecting with existing framework – the 2030 Agenda for Sustainable Development Follow-up and reviews: lessons learned from the SDG indicator framework Follow-up and reviews: lessons learned from the SDG indicator framework (cont.) United Nations Statistical Commission United Nations Statistics Division UNSD’s work on international migration statistics
Language:English
Score: 802502.3 - https://www.un.org/en/developm...s%20and%20improving%20data.pdf
Data Source: un
Review materials such as the Joint Forest Sector Questionnaire and the Timber Forecast Questionnaire and associated procedures, reviewing items in forest products statistics. 42. Develop methods to expand the scope to include production and trade of secondary wood products (Engineered Wood Products, furniture, joinery) and develop methodology for data collection on these products. 43. (...) Review ways to promote data and make it more accessible. 54. Recommend methods for improving data reliability. ECE/TIM/2017/2 FO:EFC/2017/2 35 C. (...) Duration: From January 2018 to December 2019. Renewable to 2021. Methods of work: Annual meeting. Further methods to be determined by the Team.
Language:English
Score: 802463.77 - https://unece.org/DAM/timber/C...ts-Statistics-2018-2019-EN.pdf
Data Source: un
Second, it explains the underlying economic and statistical theory on which the methods are based. A CPI measures the rate of price inflation as experienced and perceived by households in their role as consumers. (...) New technology can affect the methods used to collect prices and transmit them to the central statistical office. (...) It met for the first time in Ottawa in 1994, and became known as the “Ottawa Group”, one of the city groups established by the United Nations Statistical Commission to address selected problems in statistical methods.
Language:English
Score: 802371.6 - https://www.ilo.org/public/eng...ad/cpi/corrections/preface.pdf
Data Source: un
‘‘Seasonal Products in Agriculture and Horticulture and Methods for Computing Price Indices’’, in Statistical Studies No. 24 (The Hague: Netherlands Central Bureau of Statistics). ——. 1980b. (...) Divisia Price and Quantity Indexes 75 Years After, Draft Paper, Department of Statistical Methods (Voorburg: Statistics Netherlands). ——. 2000b. On Curing the CPI ’s Substitution and New Goods Bias, Research Paper 0005, Department of Statistical Methods (Voorburg: Statistics Netherlands). ——. 2001.
Language:English
Score: 801139.8 - https://www.ilo.org/public/eng...eau/stat/download/cpi/bibl.pdf
Data Source: un
Manual IV. Methods of estimating basic demographic measures from incomplete data(United Nations Publications, Sales No. 67.XIII.2). (...) The completeness of vital statistics (519 KB) Chapter III. The accuracy of age and sex statistics (319 KB) Chapter IV. (...) The manual combines theoretical exposition with non-technical, do-it-yourself instructions so all the methods can be employed by persons with limited expertise in demography.
Language:English
Score: 800860.35 - https://www.un.org/en/developm...timate/estimate-incomplete.asp
Data Source: un