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]
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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
