Research data offered by the EBDC

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Research Data Centre accredited by the RatSWD

Offered data sets

Through its surveys of individuals and companies, the ifo Institute collects data at the national and international levels that is of great interest to a wide range of subfields in empirical economic research. In addition, the EBDC links the ifo Business, Innovation, and Investment Surveys with structural, balance sheet, and income statement data from the external corporate database Orbis and makes this data available as EBDC Business Panels.

All ifo microdata sets available on the EBDC can be found via the EBDC Data Catalog. The ifo microdata sets include the ifo Business, Investment, and Innovation Surveys, as well as the EBDC Business Panels generated from them. They also include, among other datasets, the ifo economic forecast data, the Randstat-ifo HR Survey, the ifo World Economics Survey and Economics Experts Survey, the ifo Education Barometer, and the FamData database. 

The ifo microdata sets may be used by internal and external visiting researchers in accordance with the respective terms of use. Access generally requires an academic affiliation (university or research institution). Use is permitted only for purely academic, non-commercial purposes. For data protection reasons, access to the ifo microdata is only available on-site at the EBDC premises, with the exception of the ifo Education Barometer, which is available off-site as a scientific use file. Further information on the terms of use and access procedures can be found in the EBDC Terms of Use and on the pages of the respective dataset. To request the ifo microdata, you must complete the data protection declaration for ifo microdata and send it to ebdc@ifo.de .

Further information on the content and methodology of the datasets can be found on the dataset pages listed below and in the “Data documentation and EBDC descriptions” section.

For researchers at the ifo Institute and the economics departments of LMU Munich, the EBDC serves as the central point of contact for the coordination, administration/provision, and licensing of research databases, particularly company databases. In addition, the EBDC provides support for database access as well as database integration and linking.

Only researchers from LMU and the ifo Institute are authorized to use the external databases listed below after completing the data protection declaration for company databases (link: tbd). For licensing reasons, access to the online databases is generally restricted to guest researcher workstations in the Faculty of Business Administration, the Faculty of Economics and the EBDC. The EBDC handles the export of large data sets from the local SQL databases by default after researchers have prepared the variable selection

 

External databases available at the EBDC

Orbis is a comprehensive, global company database that contains balance sheet information, income statements, patent data, M&A activities, and structural data for up to 300 million companies, banks, and insurance companies worldwide. The EBDC provides access to the current online database (company information for a rolling 10-year window) as well as a local historical SQL database that enables analysis over a longer period. 
Further information on Orbis.

The PATSTAT database is provided by the European Patent Office and contains bibliographic data on more than 100 million patent documents from a wide range of countries across more than 40 patent offices. The database is available at the EBDC in the Fall 2023 version as an SQL database.
Further information on PATSTAT.

 

Other external databases

Additional databases (such as WRDS and Refinitiv) can be accessed at the Institute for Finance & Banking at LMU.

Through the EBDC data repository, the EBDC offers researchers the opportunity to make their own datasets available free of charge for replication and secondary use. Secondary researchers who wish to use the data deposited with the EBDC agree to comply with the EBDC’s access policy by downloading the provided data or by signing the data protection declaration for archived data (Link: tbd), in the case of data sent to them or accessible only at the EBDC.

The permitted purpose of use and the type of access are specified in the respective data protection declaration. Information regarding data access and the primary researchers can be found on the individual data pages. Some datasets or parts of the data packages, such as codes, documentation, and results, are also available for free download on the corresponding data page. 

You can find an overview of the datasets available through the EBDC from the research data repository via the EBDC Data Catalog. There, you can filter for “replication files,” “EBDC downloads”, or the ifo GAME database to find the appropriate datasets.

In addition, the following datasets from ifo researchers are available on the linked pages:

 

Access to microdata from other research data centers

Through collaborations with external research data centers, the EBDC provides access to their data collections via guest researcher workstations and remote clients, provided that data access agreements are in place with these data providers.

 

Data from the Research Data Center of the Bavarian State Office for Statistics

At two visiting researcher workstations at the EBDC, selected microdata from official statistics can be accessed for research purposes under the supervision of the Bavarian State Office for Statistics and following an application and prior registration with the State Office for Statistics.

Detailed information on the data collection, access requirements, and the data request form can be found on the website of the Research Data Centres of the Statistical Offices of the Federation and the Federal States.
Contact:
Email: fdz@statistik.bayern.de
Phone: +49 911 98208 6577

 

Data from the Research Data Centre of the German Pension Insurance

After submitting a request to the Research Data Centre of the German Pension Insurance (FDZ-RV), you can access its data offerings for research purposes via a remote desktop client in the EBDC. 
Detailed information on the data collection, access requirements, and the data request form can be found on the FDZ-RV website.
Contact: 
Email: FDZ-RV-Berlin@drv-bund.de
Website: https://fdz-rv.de/en/about-us/contact

 

Microdata via RDCnet

The RDCnet is a network of secure data access points that provides researchers with flexible and simplified access to microdata without compromising data protection standards. Specifically, it allows researchers to analyze data from an FDZ participating in the RDCnet from various other RDCnet locations. This eliminates the need for time-consuming and costly travel planning. Through an online booking platform, researchers can search for an available guest researcher workstation location within the network and book an appointment. There, they can access data from another FDZ in the network, provided that the researchers have a valid data usage agreement with the data-providing FDZ. This data access is decentralized via “Secure Remote Access,” whereby the data remains on the server of the data-providing FDZ.

Data Repository and Data Trustee

The EBDC is accredited as a trusted data repository by the German Council for Social and Economic Data (RatSWD) and is listed in the Registry of Data Repositories (Re3data) and is recognized, among others, by the American Economic Association and for EU Horizon projects. It offers primary researchers the opportunity to archive their research data at the EBDC securely and for the long term, to publish it, and to make it available to visiting researchers within the secure environment of the EBDC. In doing so, the EBDC directly supports the concrete implementation of the rules of good scientific practice (Link: https://www.dfg.de/en/basics-topics/basics-and-principles-of-funding/go…), promotes the Open Science concept (Link: https://www.osc.uni-muenchen.de/about_us/index.html), as also formulated in the Open Access Policy of the ifo Institute (Link: https://www.ifo.de/en/open-access-policy-ifo-institute),  thereby increasing the trustworthiness, transparency, and efficiency of the research process.

If you have any questions regarding the EBDC data repository, please contact Dr. Michael Rindler (rindler@ifo.de ).
 

At the EBDC, research data - including program code, documentation, algorithms, software, and results - can be archived. This allows even sensitive data to be made accessible to peer reviewers of academic journals and interested researchers and ensures compliance with any journal requirements regarding data transparency. This enhances the credibility of the results and the traceability of the research process. Furthermore, this provides an opportunity to conduct new research questions using existing datasets in a resource-efficient manner. Additionally, independent and potentially regularly updated datasets can also be published. The archiving of physical objects is not possible. The repository’s focus is also on data from empirical economic, educational, and social research.

The EBDC Data Archiving Agreement (Link: TBD) sets forth the details regarding archiving and publication between primary researchers and the EBDC. Among other things, the manner of publication, the access policy, and the archiving period may be determined by mutual agreement. Depending on the sensitivity of the data, the method of data access for secondary users may be specified as download, shipment upon request, or processing only on the premises of the EBDC. Appropriate measures to ensure data security (Link: tbd) will be implemented.

The EBDC recommends assigning a persistent identifier to facilitate the discovery and citation of data packages. As a member of the Dara Consortium (Link: https://www.da-ra.de) in cooperation with DataCite (Link: https://datacite.org/), the EBDC can register standardized metadata and a persistent digital object identifier (DOI) (Link: https://www.doi.org/) for data packages, so that the data can be easily found via all common (data) search engines on the Internet. In doing so, the EBDC follows the DataCite metadata schema (Link: https://schema.datacite.org/). Furthermore, a Creative Commons license (Link: https://creativecommons.org/share-your-work/cclicenses/) can be created upon request.

If research data is to be archived and/or published, the data must be submitted to the EBDC in a structured format, accompanied by documentation and metadata. The EBDC team is happy to guide researchers in preparing the necessary documents and provides guidance on data preparation in accordance with the FAIR principles (Link: https://www.go-fair.org/fair-principles) (Findable, Accessible, Interoperable, Reusable). However, the documentation must be provided by the researchers themselves. The EBDC checks the completeness of a data package to be archived. However, no assessment of the scientific validity of the data or the results based on it is performed.

The EBDC offers researchers the opportunity to make self-collected datasets available free of charge for replication and secondary use. The EBDC is solely responsible for making the data available. The data providers are solely responsible for the licensing rights and the content of the data. The EBDC cannot answer any questions regarding the research design or statistical analyses related to these data. For further information and to report errors in the datasets, users are asked to contact the data providers.

Secondary researchers who wish to use the data deposited with the EBDC agree to comply with the EBDC’s access policy (Link: tbd) by downloading the provided data or by signing the data protection declaration for archived data (Link: tbd), in the case of data that has been sent to them or is accessible only at the EBDC. The permitted purpose of use—ranging from free use to purely academic, non-commercial use to purely replication purposes—and the type of access have been determined by the data creator in consultation with the EBDC.

All data available in the data repository, including information on data access, can be found under “Data from the Research Repository” (Link: tbd).

As an accredited research data center, the EBDC also serves as a data trustee for researchers at the economics faculties of Ludwig Maximilian University of Munich and the ifo Institute, as well as their cooperation partners and CESifo network members.

As a (neutral) data trustee, the EBDC assists researchers in gaining access to sensitive third-party data from other data providers. Specifically, the EBDC supports the development of data security and privacy concepts and provides its secure, monitored guest researcher workstations for processing sensitive external data. Researchers who wish to use this service should submit a data protection declaration for the use of third-party data (link: tbd).

Data access, research visits, and quality assurance

Researchers from the ifo Institute, Ludwig Maximilian University, as well as national and international visiting scholars with proof of affiliation (at a university or scientific research institution) may use the ifo microdata sets (link: tbd) and, in some cases, data from the research data repository (link: tbd)—which partly may only be processed at the EBDC—as well as the research data infrastructure as part of a temporary research visit at the EBDC. External databases (link: tbd) are accessible only to researchers from the ifo Institute and Ludwig Maximilian University of Munich upon application.

All data not made freely available for download may only be used for purely academic, non-commercial research projects or for replication purposes. The permitted purpose and method of access can be found on the respective data page or in the relevant privacy policy. The privacy policy must be completed, signed, and emailed to ebdc@ifo.de; it will then be reviewed and, if applicable, approved by the EBDC. Since the number of guest researcher workstations is limited, an appointment must also be scheduled in advance for data use prior to each visit to the EBDC. This is done after the application has been approved and registration has been completed by the EBDC via the EBDC booking platform (Link: https://ebdc.reservation.ifo.de/v2/).

To analyze the (micro)data sets of the ifo Institute (Link: tbd) or other organizations and researchers - which remain potentially sensitive despite anonymization and pseudonymization - visiting researchers are provided with secure, monitored, and well-equipped workstations in the EBDC’s separate premises within the ifo Institute. Furthermore, EBDC data experts advise and supervise the visiting researchers. The EBDC Terms of Use (Link: tbd), which all researchers must agree to before using the EBDC infrastructure, as well as numerous technical and organizational measures—such as result verification by the EBDC to ensure compliance with the prohibition on re-identification—guarantee the highest level of confidentiality and security for the datasets provided.

The EBDC ensures the security and integrity of the data archived in the data repository (Link: tbd) through a series of measures. The archiving process, which is documented and reviewed by the ifo Institute’s quality management team, is strictly adhered to. In doing so, the EBDC follows the reference model of the Open Archival Information System (OAIS). Data integrity is verified using checksums, data is stored redundantly in different locations, and backups are created regularly. Technical and organizational measures for data security and risk management are developed and implemented in close collaboration with the IT department, the legal department, and the ifo IT security officer.
 

Data-FAQ, quality assurance, and complaints office

Forum4MICA – Online Forum for Research Data:
Forum4MICA (Link: https://forum.lifbi.de/) is an open-access exchange and information platform for topics related to the data collections of the participating research data centers. The EBDC is available to answer questions regarding the provision and use of research data as part of the KonsortSWD’s Forum4MICA initiative (Link: https://www.konsortswd.de/en/services/mica/). In addition to the research data centers answering questions, the forum also offers researchers the opportunity to connect with one another and discuss current issues or problems.

Quality assurance through monitoring by the RatSWD:
As a research data center accredited by the RatSWD, the EBDC is subject to an annual monitoring procedure (Link: https://www.konsortswd.de/en/services/datacentres/quality-assurance-cer…). The aim of this monitoring is to ensure quality standards regarding data offerings and the services provided. To this end, the EBDC submits a comprehensive annual report/questionnaire to an evaluation commission, which reviews the information and compiles it with data from the other FDZs into an activity report (Link: https://www.konsortswd.de/en/publications/activities-report/).

RatSWD Complaints Office:
In addition, the RatSWD has established a complaints office. Via a contact form on the RatSWD website, visiting researchers have the opportunity to address unresolved issues regarding the use of the FDZ’s data—which they were unable to resolve through communication with the relevant contact person at the FDZ—to the RatSWD. The contact form, as well as details regarding jurisdiction and procedures, can be found on the RatSWD website (Link: https://www.konsortswd.de/en/services/research/complaints-office/ ).

Data documentation and publications

Garnitz, J., von Maltzan, A., Wohlrabe, K. (2025). FamData: Database for Family Business Companies in Germany Covering Company Key Figures and Survey Data. Jahrbücher Für Nationalökonomie Und Statistik, 245(1–2), 235–46. https://doi.org/10.1515/jbnst-2023-0056

Heil, P., Potrafke, N. (2025). The Economic Experts Survey. Jahrbücher Für Nationalöko-nomie Und Statistik. https://doi.org/10.1515/jbnst-2025-0056

Schaller, D., Hennrich, J., Wohlrabe, K. (2025). The Ifo Human Resources Survey. Jahr-bücher Für Nationalökonomie Und Statistik, 2025. https://doi.org/10.1515/jbnst-2025-0005

Reich, Valentin, „Machine Learning Based Linkage of Company Data for Economic Research: Application to the EBDC Business Panels“, 2024, ifo Working Paper No. 409. Link

Sauer, Stefan, Moritz Schasching und Klaus Wohlrabe  „Handbook of ifo Surveys“, ifo Beiträge zur Wirtschaftsforschung 100, 2023, 1-276 Link

Demmelhuber, K., Sauer, S., Wohlrabe, K. (2023). Beyond the Business Climate: Supple-mentary Questions in the ifo Business Survey. Jahrbücher für Nationalökonomie und Statistik, 243(2), 169-182. https://doi.org/10.1515/jbnst-2022-0032

Freundl, V., Grewenig, E., Kugler, F., Lergetporer, P., Schüler, R., Wedel, K., Werner, K., Wirth, O., Woessmann, L. (2023). The ifo Education Survey 2014–2021: A New Da-taset on Public Preferences for Education Policy in Germany. Jahrbücher für National-ökonomie und Statistik, 243(6), 699-710. https://doi.org/10.1515/jbnst-2022-0051

Link, Sebastian, "Harmonization of the ifo Business Survey’s Micro Data", Jahrbücher für Nationalökonomie und Statistik, 240(4), 2020, 543-555. https://doi.org/10.1515/jbnst-2019-0042

Sauer, Stefan und Wohlrabe, Klaus, „ifo Handbuch der Konjunkturumfragen“, ifo Beiträge zur Wirtschaftsforschung 88, 2020, 1-362. Link

Boumans, Dorine und Johanna Garnitz, „Ifo World Economic Survey Database – An International Economic Expert Survey“, Jahrbücher für Nationalökonomie und Statistik 237(1), 2017, 71–80. https://doi.org/10.1515/jbnst-2015-1028

Seiler, Christian, „The Data Sets of the LMU-ifo Economics & Business Data Center – A Guide for Researchers“, Schmollers Jahrbuch: Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften 132 (4), 2012, 609–618. https://dx.doi.org/10.3790/schm.132.4.609 [auch ifo Working Paper No. 138, 2012]

Strobel, Thomas, Stefan Sauer und Klaus Wohlrabe, „ifo Investorenrechnung - Dokumentation von Quellen, Verarbeitung und Methodik“, ifo Beiträge zur Wirtschaftsforschung 42, 2012,  Link

Hönig, Anja, "Linkage of Ifo Survey and Balance-Sheet Data: The EBDC Business Expectations Panel & the EBDC Business Investment Panel", Schmollers Jahrbuch: Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften 130 (4), 2010, 635–642. https://dx.doi.org/10.3790/schm.130.4.635.

Hönig, Anja, "The New EBDC Dataset: An Innovative Combination of Survey and Financial Statement Data", CESifo Forum 10 (4), 2009, 62–63. Abstract / Download (PDF) 

Becker, Sascha O. und Klaus Wohlrabe, "Micro Data at the Ifo Institute for Economic Research – The “Ifo Business Survey”, Usage and Access", Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften 128 (2), 2008, 307-319. https://doi.org/10.3790/schm.128.2.307 [auch ifo Working Paper No. 47]

Abberger, Klaus, Sascha O. Becker, Barbara Hofmann und Klaus Wohlrabe, "Mikrodaten im ifo Institut für Wirtschaftsforschung - Bestand, Verwendung, Zugang", AStA Wirtschafts- und Sozialstatistisches Archiv 1, 2007, 27–42. https://doi.org/10.1007/s11943-007-0004-9 [auch ifo Working Paper No. 44]

Goldrian, Georg, „Handbook of Survey-Based Business Cycle Analysis“, Ifo Economic Policy, 2 IX, 2007, 247, Elgar Cheltenham. Link 

Stangl, Anna, „Ifo World Economic Survey Micro Data“, Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften 127 (3), 2007, 487–496. 

Goldrian, Georg, „Handbuch der umfragebasierten Konjunkturforschung“, ifo Beiträge zur Wirtschaftsforschung 15, 2004, 1-368. Link

Oppenländer, Karl-Heinrich und Günter Poser, „Handbuch der Ifo-Umfragen: vierzig Jahre Unternehmensbefragungen des Ifo-Instituts für Wirtschaftsforschung“, 1990, Duncker & Humblot. 

Publications by EBDC guest researchers using EBDC-ifo data

With contribution by ifo-researchers:

Bachmann, R., Carstensen, K., Lautenbacher, S., Menkhoff, M., Schneider, M. (2026). Uncertainty and Change: Survey Evidence of Firms’ Subjective Beliefs. American Economic Review, 116 (8): 2806–49. https://doi.org/10.1257/aer.20240056 

Lehmann, R., and Zarges, L. (2025). What drives German trend output growth? A sectoral view. Journal of Economic Dynamics and Control, 174, 105079. https://doi.org/10.1016/j.jedc.2025.105079 

Boumans, D., Gründler, K., Potrafke, N., and Ruthardt, F. (2024). Political leaders and macroeconomic expectations: Evidence from a global survey experiment. Journal of Public Economics, 235, 105140. https://doi.org/10.1016/j.jpubeco.2024.105140 

Link, S. (2024). The price and employment response of firms to the introduction of minimum wages. Journal of Public Economics, 239, 105236. https://doi.org/10.1016/j.jpubeco.2024.105236 

Link, S., Menkhoff, M., Peichl, A., and Schüle, P. (2024). Downward Revision of Investment Decisions after Corporate Tax Hikes. American Economic Journal: Economic Policy, 16(4), 194–222. https://doi.org/10.1257/pol.20220530 

Grimme, C. (2023). Uncertainty and the Cost of Bank versus Bond Finance. Journal of Money, Credit and Banking, 55, 143-169. https://doi.org/10.1111/jmcb.12911 

Link, S., Peichl, A., Roth, C., and Wohlfart, J. (2023). Information frictions among firms and households. Journal of Monetary Economics, 135, 99-115. https://doi.org/10.1016/j.jmoneco.2023.01.005 

Berlemann, M., Jahn, V., and Lehmann, R. (2022). Is the German Mittelstand more re-sistant to crises?: Empirical evidence from the Great Recession. Small Business Eco-nomics, 59(3), 1169–1195. https://doi.org/10.1007/s11187-021-00573-7 

Buchheim, L., Dovern, J., Krolage, C., and Link, S. (2022). Sentiment and firm behavior during the COVID-19 pandemic. Journal of Economic Behavior and Organization, 195, 186–198. https://doi.org/10.1016/j.jebo.2022.01.011 

Buchheim, L., Krolage, C., and Link, S. (2022). Sudden stop: When did firms anticipate the potential consequences of COVID-19? German Economic Review, 23(1), 79–119. https://doi.org/10.1515/ger-2020-0139 

Dixon, H. D., and Grimme, C. (2022). State-dependent or time-dependent pricing? New evidence from a monthly firm-level survey: 1980–2017. European Economic Review, 150, 104319. https://doi.org/10.1016/j.euroecorev.2022.104319 

Elstner, S., Grimme, C., Kecht, V., and Lehmann, R. (2022). The diffusion of technological progress in ICT. European Economic Review, 149, 104277. https://doi.org/10.1016/j.euroecorev.2022.104277 

Bachmann, R., Born, B., Elstner, S., and Grimme, C. (2019). Time-varying business volatility and the price setting of firms. Journal of Monetary Economics, 101, 82–99. https://doi.org/10.1016/j.jmoneco.2018.07.013

External authorship:

Caldwell, S., Haegele, I., Heining, J. (2026). Bargaining and Inequality in the Labor Market. The Quarterly Journal of Economics, 141(1), 315–371. https://doi.org/10.1093/qje/qjaf049 

Lichter, A., Löffler, M., Isphording, I. E., Nguyen, T.-V., Poege, F., and Siegloch, S. (2025). Profit Taxation, R&D Spending, and Innovation. American Economic Journal: Economic Policy, 17(1), 432–463. https://doi.org/10.1257/pol.20220580 

Andre, P., Pizzinelli, C., Roth, C., and Wohlfart, J. (2022). Subjective Models of the Macroeconomy: Evidence From Experts and Representative Samples. The Review of Economic Studies, 89(6), 2958–2991. https://doi.org/10.1093/restud/rdac008 

Enders, Z., Hünnekes, F., and Müller, G. (2022). Firm Expectations and Economic Activity. Journal of the European Economic Association, 20(6), 2396–2439. https://doi.org/10.1093/jeea/jvac030 

Gumpert, A., Steimer, H., and Antoni, M. (2022). Firm Organization with Multiple Establishments. The Quarterly Journal of Economics, 137(2), 1091–1138. https://doi.org/10.1093/qje/qjab049 

Bachmann, R., and Zorn, P. (2020). What drives aggregate investment? Evidence from German survey data. Journal of Economic Dynamics and Control, 115, 103873. https://doi.org/10.1016/j.jedc.2020.103873 

Becker, J., Johannesen, N., and Riedel, N. (2020). Taxation and the allocation of risk inside the multinational firm. Journal of Public Economics, 183, 104138. https://doi.org/10.1016/j.jpubeco.2020.104138  

Dwenger, N., Fossen, F. M., and Simmler, M. (2020). Firms’ financial and real responses to credit supply shocks: Evidence from firm-bank relationships in Germany. Journal of Financial Intermediation, 41, 100773. https://doi.org/10.1016/j.jfi.2018.01.003 

Enders, Z., Hünnekes, F., and Müller, G. J. (2019). Monetary policy announcements and expectations: Evidence from german firms. Journal of Monetary Economics, 108, 45–63. https://doi.org/10.1016/j.jmoneco.2019.08.011 

Schauer, C., Elsas, R., and Breitkopf, N. (2019). A new measure of financial constraints applicable to private and public firms. Journal of Banking and Finance, 101, 270–295. https://doi.org/10.1016/j.jbankfin.2019.01.008

EBDC Team

If you have any questions regarding our data offerings and services, research visits, or other activities, the EBDC team will be happy to provide you with additional information.

Email: ebdc@ifo.de

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Dr. Sebastian Wichert

LMU-ifo Economics & Business Data Center
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Heike Mittelmeier

LMU-ifo Economics & Business Data Center
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Valentin Reich

Dr. Valentin Reich

LMU-ifo Economics & Business Data Center
Senior Big Data Engineer
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Dr. Michael Rindler

LMU-ifo Economics & Business Data Center
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Dr. Cristina Rujan

LMU-ifo Economics & Business Data Center
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Visitor Information

The EBDC is located at the ifo Institute in the Adolf-Weber-Haus (= rear building). First-time visiting researchers are asked to report to the ifo reception in the David-Bradford-Haus (= main building) during their first visit to the EBDC, where they will be met by an EBDC staff member.

EBDC opening hours: Mon–Thu 9:30 AM–5:00 PM, Fri 9:30 AM–3:00 PM

EBDC opening hours

Mon–Thu 9:30 AM–5:00 PM, Fri 9:30 AM–3:00 PM

Visiting address:

ifo Institute – Leibniz Institute for Economic Research at the University of Munich e.V.
Poschingerstr. 5
81679 Munich

Directions by public transportation or car can be found here.

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LMU-ifo Economics & Business Data Center
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Big Data Economics enables better research and policy advice, but places heavy demands on the research infrastructure. The LMU-ifo Economics & Business Data Center (EBDC) as an accredited research data center and central research-oriented cross-sectional unit develops and maintains this infrastructure for all ifo Centers, their research partners, and visiting researchers. The EBDC team actively lends its expertise to these research projects, provides and further develops the ifo research datasets, coordinates training courses in data science, and offers advice on research data management.

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