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The purpose of the meeting was to (a) examine the state of vital statistics based on civil registration, with emphasis on low- and middle- income countries (LMICs), (b) review the state of-knowledge with analytical methods to evaluate the proportion of actual vital events that are registered by the civil registration of vital statistics (CRVS) system and quality of vital statistics collected through civil registration, and (c) review lessons learnt from local and international experiences in applying these methods to various settings. (...) Chen noted that the Preston estimation method showed that the different data sources and methods had consistent results of birth average between 16.6-16.8 million which was slightly higher than the results produced by the National Bureau of Statistics (NBS). (...) They used vital registration system, Ministry of Health database and population census as the main sources of data and discussed how demographic methods could be combined using statistical methods to produce small area estimates.
Language:English
Score: 841289.3 - https://www.un.org/en/developm...uation_of_vital_statistics.pdf
Data Source: un
• Lack of training in appropriate methods to estimate completeness • Lack of capacity is exacerbated by the relative complexity of methods that need to be applied in countries where there is a lack of data (e.g. GBD methods where no 45q15 data exists Myanmar). • Relatively low priority given to CRVS data as a potential source of mortality statistics by some statistical offices. (...) Guidance for experts • Promote estimation of completeness as a core routine activity of a CRVS system. • Develop training activities to strengthen the ability of country statistical offices to estimate completeness of death registration using a range of methods. • Investigate ways to bridge the gap between appropriate methods and available capacity in settings where a lack of available data sources requires use of advanced modelling techniques.
Language:English
Score: 840998.8 - https://www.un.org/en/developm...7/Adair%20Presentation%202.pdf
Data Source: un
As part of the project on Defining, estimating and disseminating statistics on illicit financial flows in Africa , UNCTAD finalized a draft of “ Methodological Guidelines to Measure Tax and Commercial IFFs” in May 2021, for pilot testing, aimed at statistical and other national authorities with a mandate to collect and access relevant information. (...) The purpose of the workshop is to provide an in-depth training on the 6 selected statistical methodologies proposed in the Methodological Guidelines to members of Technical Working Groups (TWGs) from pilot countries, share case studies /experiences as well as discuss challenges experienced in the data review and/or use of identified methods Проект по измерению Теневых финансовых потоков (ТФП) относится к проектам по достижению Целей Устойчивого Развития ООН, а в частности к цели номер 16.4, посвященной сокращению теневых финансовых потоков между странами. (...) Целью проведения семинаров является обучение участников технических экспертных трупп стран-пилотов по применению шести статистических методов оценки ТФП, предложенных в методических рекомендациях; обмен опытом сбора данных и применения предложенных методов. 06 Dec 2021 Print the Timetable 15:00 19:30 Метод № 3 Глобальное распределение прибылей ТНК и корпоративных налогов (Method # 3 Global distribution of MNEs’ profits and corporate taxes) Bangkok time Время проведения/ Time Ссылка для регистрации/ Link to register 14:00-18:30 (Кыргызстан) 13:00-17:30 (Узбекистан) https://indico.un.org/event/1000355/ Перевод с английского на русский (и с русского на английский) по требованию English to Russian translation is available on demand. 07 Dec 2021 15:00 19:30 Метод № 4 Вывод прибыли из-под налогообложения ТНК и сопоставимыми не-ТНК (Method # 4 MNE vs comparable non-MNE profit shifting) Bangkok time Время проведения/ Time Ссылка для регистрации/ Link to register 14:00-18:30 (Кыргызстан) 13:00-17:30 (Узбекистан) https://indico.un.org/event/1000362/ Доступен профессиональный перевод с английского на русский Professional English to Russian Interpretation is provided 08 Dec 2021 15:00 19:30 Метод № 5 Показатель потоков незадекларированных офшорных активов (Method # 5 Flows of undeclared offshore assets indicator) Bangkok time Время проведения/ Time Ссылка для регистрации/ Link to register 14:00-18:30 (Кыргызстан) 13:00-17:30 (Узбекистан) https://indico.un.org/event/1000376/ Перевод с английского на русский (и с русского на английский) по требованию English to Russian translation is available on demand. 09 Dec 2021 15:00 19:30 Метод №6 Потоки офшорного финансового капитала по странам (Method # 6 Flows of offshore financial wealth by country) Bangkok time Время проведения/ Time Ссылка для регистрации/ Link to register 14:00-18:30 (Кыргызстан) 13:00-17:30 (Узбекистан) https://indico.un.org/event/1000384/ Перевод с английского на русский (и с русского на английский) по требованию English to Russian translation is available on demand. 10 Dec 2021 15:00 19:30 Метод № 1 Метод страны-партнера (МСП) + (Method # 1 Partner Country Method (PCM) +) Bangkok time Время проведения/ Time Ссылка для регистрации/ Link to register 14:00-18:30 (Кыргызстан) 13:00-17:30 (Узбекистан) https://indico.un.org/event/1000387/ Доступен профессиональный перевод с английского на русский Professional English to Russian Interpretation is provided 13 Dec 2021 15:00 19:30 Метод № 2 Метод ценового фильтра (МЦФ) + (Method # 2 Price Filter Method (PFM) +) Bangkok time Время проведения/ Time Ссылка для регистрации/ Link to register 14:00-18:30 (Кыргызстан) 13:00-17:30 (Узбекистан) https://indico.un.org/event/1000388/ Доступен профессиональный перевод с английского на русский Professional English to Russian Interpretation is provided Title Speaker/Presenter PPT/Document Day 1: 6 December 2021 Метод № 3 Глобальное распределение прибылей ТНК и корпоративных налогов Method # 3 Global distribution of MNEs’ profits and corporate taxes Часть II Методы Глобальное распределение прибылей ТНК и корпоративных налогов Part II – Methods Global distribution of MNEs‘ profits and corporate taxes Боян Настав (UNCTAD) Bojan Nastav (UNCTAD) English Русский Обеспечение более эффективного аудита в развивающихся странах: изменение прибыли транснациональными корпорациями в данных на уровне транзакций Enabling more efficient auditing in developing countries: Profit shifting by multinational corporations in transaction-level data Bathusi Gabanatlhong (Charles University, Prague, Czechia) English Русский Profit Shifting of Multinational Corporations Worldwide Petr Jansk´y (Charles University, Prague, Czechia) English Русский Глобальное распределение прибылей ТНК и корпоративных налогов (Метод 3) Global distribution of TNC profits and corporate taxes (Method 3)   English Русский Day 2: 7 December 2021 Метод № 4 Вывод прибыли из-под налогообложения ТНК и сопоставимыми не-ТНК Method # 4 MNE vs comparable non-MNE profit shifting Часть II – Вывод прибыли из под налогообложения: сравнение ТНК и сопоставимых не-ТНК Part II - Methods MNEs vs comparable non-MNE profit shifting Боян Настав (UNCTAD) Bojan Nastav (UNCTAD) English Русский Измерение размывания налогооблагаемой базы и вывода прибыли из под налогообложения (РНБВП): ТНК и сопоставимые не ТНК На примере Италии Measuring BEPS: MNEs vs. comparable non MNEs method: Italian case study – Conceptual framework Федерико Саллюсти  (Istat) Federico Sallusti  (Istat) English Русский Измерение размывания налогооблагаемой базы и вывода прибыли из под налогообложения (РНБВП): ТНК и сопоставимые не ТНК На примере Италии: практика Measuring BEPS: MNEs vs. comparable non MNEs method: Italian case study – Practice Федерико Саллюсти  (Istat) Federico Sallusti  (Istat) English Русский Вывод прибыли из-под налогообложения ТНК и сравнимыми неТНК (4) MNE vs comparable non-MNE profit shifting   English Русский Dataset ( Excel file )       Day 3: 8 December 2021 Метод № 5 Показатель потоков незадекларированных офшорных активов Method # 5 Flows of undeclared offshore assets indicator Часть II Методы Показатель потоков незадекларированных офшорных активов Part II – Methods Flows of undeclared offshore assets indicator Боян Настав (UNCTAD) Bojan Nastav (UNCTAD) English Русский Applying Method Flows of undeclared offshore assets indicator Боян Настав (UNCTAD) Bojan Nastav (UNCTAD) English Русский Офшорные капиталы Данные и измерения Offshore wealth Data and measurement Carlotta Schuster (UNCTAD) English Русский Потоки офшорных активов Flows of undeclared assets   English Русский Day 4: 9 December 2021 Метод №6 Потоки офшорного финансового капитала по странам Method # 6 Flows of offshore financial wealth by country Методы Потоки офшорного финансового капитала по странам Methods Flows of offshore financial wealth by country Боян Настав (UNCTAD) Bojan Nastav (UNCTAD) English Русский Applying Method Flows of offshore financial wealth by country Боян Настав (UNCTAD) Bojan Nastav (UNCTAD) English   Потоки офшорных финансовых активов по странам Flows of offshore financial wealth by country   English Русский Day 5: 10 December 2021 Метод № 1 Метод страны-партнера (МСП) + Method # 1 Partner Country Method (PCM) + Часть II Методы Метод страны партнера Part II – Methods Partner Country Method Боян Настав (UNCTAD) Bojan Nastav (UNCTAD) English Русский Метод страны-партнера Partner Country Method   Kathy Nicolaou (UNECA) and Yuchen Wu English Русский Метод страны-партнера (МСП) + Partner Country Method (PCM) +   English Русский Method#1: Package ‘comtradr’ Method #1 – PCM Tutorial ( Excel file ) Method #1 – PCM Tutorial - Solution ( Excel file )   English   Day 6: 13 December 2021 Часть 2 - Методы Метод ценового фильтра Method # 2 Price Filter Method (PFM) + Часть II Методы Метод ценового фильтра Part II – Methods Price Filter Method Боян Настав (UNCTAD) Bojan Nastav (UNCTAD) English Русский Метод ценового фильтра - Пример из Бразилии Price Filter Method – Case study in Brazil   Luciana Barcarolo, Ministry of Finance of Brazil English Русский Метод ценового фильтра (МЦФ) + Price Filter Method (PFM) +   English Русский Price Filter Method - Exercise Exercise ( Excel file ) Answers ( Excel file )   English   A link to a script in googleColab: https://colab.research.google.com/drive/1Rd9lMEwii09quBqHFFgusPVzEwfkw4e3#scrollTo=4sFhKEVnisry Exercise ( Excel file - .csv )       for more information, please contact Statistics Division +66 2288 1234 [email protected] Share this event Print this page Programme of Work Macroeconomic Policy and Financing for Development Trade, Investment and Innovation Transport Environment and Development ICT and Disaster Risk Reduction Social Development Statistics Energy Our Offices Subregional Offices Regional Institutions ESCAP Websites Asia-Pacific SDG Gateway SDG Helpdesk ARTNeT More Contact The United Nations Building Rajadamnern Nok Avenue Bangkok 10200 Thailand Telephone (66-2) 288-1234 Fax (66-2) 288-1000 Social Media Menu Newsletter Subscribe to our monthly e-mail newsletter.
Language:English
Score: 840401.5 - https://www.unescap.org/events...ent-tax-and-commercial-illicit
Data Source: un
In the field of business statistics especially, cell suppression and related techniques are expected to remain the most relevant methods for disclosure control. (...) Andrzej Młodak, Statistics Poland Description: 30. The final stage in the process concerning statistical data confidentiality is the implementation of SDC methods. (...) For more advanced users, statistical offices develop special SDC trainings, which make participants aware about how to produce safe results when using various statistical tools and methods. 34.
Language:English
Score: 838329.5 - https://unece.org/sites/defaul...2021-05/SDC%202021%20INF.1.pdf
Data Source: un
The European Masters in Official Statistics 16 EMOS: European Master in Official Statistics • EMOS is a network of Master programmes providing post-graduate education in the area of official statistics at the European level. • EMOS is a joint project of universities and data producers in Europe. • The network comprises 23 programmes in 15 countries. 17 https://ec.europa.eu/eurostat/cros/content/emos-labelled-universities_en Objectives of EMOS • To strengthen collaboration between academics and producers of official statistics • To help develop professionals able to work with European official data at different levels • To familiarise graduates with the system of official statistics, production models, statistical methods and dissemination • To reduce the gap between statistical theory and practice 18 EMOS decision-making • The ESS Committee is the highest decision making body: • awards the EMOS Label to Master programmes providing higher education in the area of official statistics • Label valid 4 years – renewable • appoints members to the EMOS Board. 19 •Official statistics: relevance and sources • International and European institutions • European Statistics Code of Practice 1. (...) Specific themes • Statistical methods: sampling & estimation, index theory, econometrics … • Statistical programmes 4. Statistical methods • Effective communication with different audiences •Confidentiality and disclosure control 5.
Language:English
Score: 836383.6 - https://www.cepal.org/sites/de...tat-statistical-training_0.pdf
Data Source: un
Manual I - Methods of Estimating Total Population for Current Dates ST/SOA/SERIES.A/ Population Studies No. 10 MANUAL ON METIIODS OF ESTIMATING POPULATION \1ANUAL I METHODS OF ESTIMATING TOTAL POPULATION FOR CURRENT DATES Corrigendum No. 1 Page 28, second column, line 6, under section 2. (...) Methods requiring three or more previous. censuses 5. (...) Methods of improving estimates using vital statistics and migration statistics . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 4.
Language:English
Score: 836352.6 - https://www.un.org/en/developm...s/estimate/manual1/pre_toc.pdf
Data Source: un
TFR 2.15 Estimated by Brass method. TFR 2.37 Own-Children Method estimates. TFR 2.46 15 20 25 30 35 40 45 0 .0 0 0 .0 4 0 .0 8 0 .1 2 Fertility Schedule Observed, Estimated by P/F of Brass and Own-Children Method, Brazil, 2010 - Vital statistics data. (...) TFR 1.60 Estimated by Brass method. TFR 1.91 Own-Children Method estimates. TFR 1.78 25 United Nations Expert Group Meeting on evaluation of vital statistics data from civil registration Results – Brazil as whole app. in 2005. (...) TFR 1.84 Own-Children Method estimate. TFR 1.96 PNDS(DHS) 2004-06. TFR 1.80 26 Conclusion/Discussion/Guideline United Nations Expert Group Meeting on evaluation of vital statistics data from civil registration  What are the most appropriate methods available to evaluate the completeness and quality of births records?
Language:English
Score: 835848.2 - https://www.un.org/en/developm...z_2016_Brazil-Presentation.pdf
Data Source: un
To be able to follow the statistical capacity building workshop, participants are kindly asked to review the methodological guideline and videos related to the selected methods (method #1 & second method tbc by the technical working group): 1. (...) Bojan Nastav, UNCTAD) 15:45- 16:15 Q&A Session 5 16:15-16:45 Closing tea/coffee 3 Day 2 - 16th March: Workshop trade gap method, and price-filter method Please make sure to bring a laptop with working MS Excel & Stata if available 09:00 - 09:15 Summary Day 1 – Moderators are kindly asked to give a 2-minute summary per session 09:15 - 10:30 Session 6: Statistical concept Method #1 & case studies Moderator: Member from TWG - Review statistical concepts Method #1 (Mr. (...) Shebo Nalishebo, National consultant - Review of data sources and how to download UN Comtrade and OECD transport cost - Review of national trade recording practices (UN Comtrade metadata survey) - Data transformation 13:00 - 13:30 Q&A session 7 13:30 - 14:30 Lunch 14:30 -16:00 Session 8: Statistical concept second method (tbc) & case studies Moderator: Member from TWG - Review statistical concepts (Mr.
Language:English
Score: 835521.3 - https://www.uneca.org/sites/de...%20Rev%201%20March%20final.pdf
Data Source: un
FAO Statistics Division works to strengthen the statistical processes throughout the Organization by developing improved methods and their implementation in the corporate Statistical Working System. (...) Within the FAO Statistical Working System, the methodological innovation work focuses on progressively integrates the corporate statistical processes with the aim to improve the quality of FAO statistical production, methods and outputs. Data Lab on Statistical Innovation FAO develops new methods using Big Data and based on Data Science to impute missing data.
Language:English
Score: 834541.4 - https://www.fao.org/food-agric.../methodological-innovation/fr/
Data Source: un
FAO Statistics Division works to strengthen the statistical processes throughout the Organization by developing improved methods and their implementation in the corporate Statistical Working System. (...) Within the FAO Statistical Working System, the methodological innovation work focuses on progressively integrates the corporate statistical processes with the aim to improve the quality of FAO statistical production, methods and outputs. Data Lab on Statistical Innovation FAO develops new methods using Big Data and based on Data Science to impute missing data.
Language:English
Score: 834541.4 - https://www.fao.org/food-agric.../methodological-innovation/es/
Data Source: un