Presentation is loading. Please wait.

Presentation is loading. Please wait.

Data sharing at Deutsche Bundesbank: The House of Microdata

Published byTil Hausler Modified over 6 years ago

Similar presentations

Presentation on theme: "Data sharing at Deutsche Bundesbank: The House of Microdata"— Presentation transcript:

1 Data sharing at Deutsche Bundesbank: The House of Microdata
Meike Becker and Anja Treffs Deutsche Bundesbank, Statistical Information Management and Mathematical Methods

2 Why are Microdata relevant?
Deutsche Bundesbank collects a wide range of economic data which form the basis for monetary policy decision-making process macroeconomic & macroprudential analyses So far: focus on aggregated data But microdata are needed for: Taking into account the heterogeneity of the statistical units An accurate risk analysis (and implications for financial stability) Assessing the effects of regulatory measures Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

3 Status Quo of Microdata at Deutsche Bundesbank
Bundesbank produces a wide range of highly valuable microdata sets Aggregated data: central information system Microdata: silos of data collecting department Microdata Set 1 Microdata Set 2 Microdata Set .. Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

4 Data Quality Assurance
Limitations Data Storage No integrated data storage  No linking of data sets possible Data Quality Assurance No standardized data set Documentation No general documentation available No routine update Resources Additional effort & expense by departments due to increase in demand of microdata IMIDIAS: Large-scale initiative aimed at making better use of existing data both, for policy analysis as well as for internal and external researchers Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

5 IMIDIAS: Integrated MIcroData Information and Analysis System
Governance Competence Research Data and Service Center (RDSC) Concept Integrated Data Storage Infrastructure House of Microdata (HoM) Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

6 The House of Microdata (HoM)
IMIDIAS is based on an integrated microdata warehouse: House of Microdata (HoM) HoM is part of the existing statistical infrastructure for aggregated data at Deutsche Bundesbank Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

7 Data Diversity Requires Standardisation
Microdata Set 2 Microdata Set 3 Microdata Set 1 Microdata Set 4 House of Microdata Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

8 SDMX = Statistical Data and Metadata Exchange
International initiative aimed at standardising data exchange between international organisations and their member countries Sponsor organisations: BIS, ECB, EUROSTAT, IMF, OECD, UN and Worldbank ISO-Standard since 2005 (17369:2005) Used as information model for IMIDIAS Source:sdmx.org Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

9 Government statistics (GST)
SDMX in a nutshell Government statistics (GST) Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

10 Government statistics (GST)
SDMX in a nutshell Frequency Reference Area Adjustment Creditor sector ESA item Debtor sector Valuation Government statistics (GST) describe Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

11 Government statistics (GST)
SDMX in a nutshell Frequency Reference Area Adjustment Creditor sector ESA item Debtor sector Valuation Government statistics (GST) describe leading to systematic and self-explanatory indicator keys ("core" of the SDMX) SDMX-Key: GST:A:AT:N:B0MFI:MAL:B1300:SA:H Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

12 Government statistics (GST)
SDMX in a nutshell Frequency Reference Area Adjustment Creditor sector ESA item Debtor sector Valuation Government statistics (GST) describe leading to systematic and self-explanatory indicator keys ("core" of the SDMX) Data Set Identifier SDMX-Key: GST:A:AT:N:B0MFI:MAL:B1300:SA:H Interpretation: No Description Key Explanation Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

13 Government statistics (GST)
SDMX in a nutshell Frequency Reference Area Adjustment Creditor sector ESA item Debtor sector Valuation Government statistics (GST) describe leading to systematic and self-explanatory indicator keys ("core" of the SDMX) SDMX-Key: GST:A:AT:N:B0MFI:MAL:B1300:SA:H Interpretation: No Description Key Explanation Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

14 Government statistics (GST)
SDMX in a nutshell Frequency Reference Area Adjustment Creditor sector ESA item Debtor sector Valuation Government statistics (GST) describe leading to systematic and self-explanatory indicator keys ("core" of the SDMX) SDMX-Key: GST:A:AT:N:B0MFI:MAL:B1300:SA:H Interpretation: No Description Key Explanation Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

15 Government statistics (GST)
SDMX in a nutshell Frequency Reference Area Adjustment Creditor sector ESA item Debtor sector Valuation Government statistics (GST) describe leading to systematic and self-explanatory indicator keys ("core" of the SDMX) SDMX-Key: GST:A:AT:N:B0MFI:MAL:B1300:SA:H Interpretation: No Description Key Explanation Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

16 Added value of SDMX Harmonization & Standardisation:
Uniform codelists & concepts form the basis for linking the different datasets Classification System  efficient search in databases Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

17 The House of Microdata Generic approach:
HoM can be used for any kind of data sets (statistical and non-statistical data, aggregated and microdata) Multidimensional approach: By using uniform code lists, SDMX offers an ideal means of linking and comparing data from different sources Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

18 Using the Power of the SDMX Information Model
SDMX landscape Analysis Software Data Securities (ISIN) Securities holdings Securities Emissions Interest rates Bank Lending Survey Profit and Loss Balance Sheet Items International Investment Position (securities) Banks Non financial institutions Interest rates Banks Balance Sheet Items Master data Set of rules to link HoM data sets and to form larger cubes for analysis Data Integration Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

19 Conclusion IMIDIAS = Integrated MIcroData Information and Analysis System Initiative for bankwide data sharing House of Microdata (HdM) common platform for data sharing Integrated Data Storage SDMX as common information model  Standardization & harmonization IMIDIAS enables better use of existing data both, for policy analysis as well as for internal and external researchers Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

20 Thank you for your attention!
Deutsche Bundesbank Statistical Information Management and Mathematical Methods Meike Becker & Anja Treffs, Deutsche Bundesbank CESS Budapest, 20 October 2016

Download ppt "Data sharing at Deutsche Bundesbank: The House of Microdata"

Similar presentations

Best practice for ensuring quality in international statistics - The Principal Global Indicators - Werner Bier, Per Nymand-Andersen European Central Bank.

Best practice for ensuring quality in international statistics - The Principal Global Indicators - Werner Bier, Per Nymand-Andersen European Central Bank.
Data Sharing Werner Bier Deputy Director-General Statistics European Central Bank Inter-Agency Group on Economic and Financial Statistics (IAG) G-20 Data.

Data Sharing Werner Bier Deputy Director-General Statistics European Central Bank Inter-Agency Group on Economic and Financial Statistics (IAG) G-20 Data.
SDMX Data Structure Definition for BPM6 and EBOPS Working Party on International Trade in Goods and Trade in Services Statistics Paris, France November.

SDMX Data Structure Definition for BPM6 and EBOPS Working Party on International Trade in Goods and Trade in Services Statistics Paris, France November.
Briefing on the work of the Inter-Agency Group on Economic and Financial Statistics - Envisaged Developments - Werner Bier Deputy Director General Statistics.

Briefing on the work of the Inter-Agency Group on Economic and Financial Statistics - Envisaged Developments - Werner Bier Deputy Director General Statistics.
Balance of Payments Collection and Compilation 23 Feb 2012 Central Statistics Office Ireland.

Balance of Payments Collection and Compilation 23 Feb 2012 Central Statistics Office Ireland.
Understanding user needs challenges and solutions Dr James Tucker, National Statistician’s Office, United Kingdom.

Understanding user needs challenges and solutions Dr James Tucker, National Statistician’s Office, United Kingdom.
Integration Development Programme in the Field of Statistics of the Eurasian Economic Union for 2016 - 2020 2015 EEC THE EURASIAN ECONOMIC COMMISSION.

Integration Development Programme in the Field of Statistics of the Eurasian Economic Union for EEC THE EURASIAN ECONOMIC COMMISSION.
REFERENCE METADATA FOR DATA TEMPLATE Ales Capek EUROSTAT.

REFERENCE METADATA FOR DATA TEMPLATE Ales Capek EUROSTAT.
Vincenzo Del Vecchio Banca d’Italia Statistics Collection and Processing Department 2012 ESSnet Workshop – 4 December.

Vincenzo Del Vecchio Banca d’Italia Statistics Collection and Processing Department 2012 ESSnet Workshop – 4 December.
Development of metadata in the National Statistical Institute of Spain Work Session on Statistical Metadata Genève, 6-8 May-2013 Ana Isabel Sánchez-Luengo.

Development of metadata in the National Statistical Institute of Spain Work Session on Statistical Metadata Genève, 6-8 May-2013 Ana Isabel Sánchez-Luengo.
B A C K G R O U N D B R I E F I N G A N D N E X T S T E P S METIS Geneva, February 2004 Statistical Data and Metadata Exchange Initiative.

B A C K G R O U N D B R I E F I N G A N D N E X T S T E P S METIS Geneva, February 2004 Statistical Data and Metadata Exchange Initiative.
5 June 2013 SDMX Technical Working Group Luxembourg 1 5 June 2013 SDMX Technical Working Group Luxembourg 1 WP Item 6 The Expressions Language of Banca.

5 June 2013 SDMX Technical Working Group Luxembourg 1 5 June 2013 SDMX Technical Working Group Luxembourg 1 WP Item 6 The Expressions Language of Banca.
Eurostat Global Implementation of SDMX in National Accounts Committee for the Coordination of Statistical Activities 22 nd Session 4-6 September Ankara,

Eurostat Global Implementation of SDMX in National Accounts Committee for the Coordination of Statistical Activities 22 nd Session 4-6 September Ankara,
IMF-FSB Users Conference, Washington DC, 8-9 July 2009 Views expressed are those of the author and not necessarily those of the BIS or its associated organisations.

IMF-FSB Users Conference, Washington DC, 8-9 July 2009 Views expressed are those of the author and not necessarily those of the BIS or its associated organisations.
Copyright 2010, The World Bank Group. All Rights Reserved. 1 GOVERNMENT FINANCE STATISTICS ANALYTIC FRAMEWORK Part 1 This lecture introduces the analytic.

Copyright 2010, The World Bank Group. All Rights Reserved. 1 GOVERNMENT FINANCE STATISTICS ANALYTIC FRAMEWORK Part 1 This lecture introduces the analytic.
Planning and development of integrated economic statistics in Europe The case of euro area financial statistics Werner Bier European Central Bank Berne,

Planning and development of integrated economic statistics in Europe The case of euro area financial statistics Werner Bier European Central Bank Berne,
Regulatory framework for economic statistics of the euro area Richard Walton European Central Bank Berne, 6-8 June 2007.

Regulatory framework for economic statistics of the euro area Richard Walton European Central Bank Berne, 6-8 June 2007.
ECB initiatives for comprehensive, consistent and timely statistics for the euro area Deputy Director-General Statistics, ECB Werner Bier.

ECB initiatives for comprehensive, consistent and timely statistics for the euro area Deputy Director-General Statistics, ECB Werner Bier.
Timely statistical information for monetary policy purposes

Timely statistical information for monetary policy purposes
Microdata in ESCB banking statistics

Microdata in ESCB banking statistics

Similar presentations

Ads by Google