Kiel Institute Data Hub

• Working Paper and Africa Debt Database, Data on over 7500 loans and bonds to African sovereigns 2000-2020.
  This data should be cited as coming from Mihalyi, D. &. Trebesch, C. (2023).  "Who Lends to Africa and How: Introducting the Africa Debt Database" Kiel Working Paper 2117

• Working Paper and Africa Infrastructure Database, The world's largest open database of identified infrastructure assets, businesses, and economic geography in Africa — comprising 15.1 million points of interest and 4.4 million km of network infrastructure in 54 economic categories, alongside high-resolution data on household wealth, economic activity, population, and accessibility. It is provided in both raw form and aggregated (by category) over a 96km2 (9.7km diameter) hexagonal equal-area grid. This data should be cited as coming from Krantz, S. (2024). "Mapping Africa’s Infrastructure Potential with Geospatial Big Data and Causal ML". Kiel Working Paper 2276.

• The Chinese Aid Exports Database provides data on China’s (medical and non-medical) aid exports as reported by China’s General Administration of Customs. It contains two series: one lists aid exports by (recipient) country and month; the other by Chinese province and month. The series begins in 2015 and will be extended as later data become available.

• March 2021 update of China debt stock dataset, estimates by country and year, 2000-2017 (direct loans). The 04/2020 version can be found here.
• Loan-level dataset and full replication material
• Journal Article "China´s overseas lending" 
  This data should be cited as coming from “Horn, S., Reinhart, C. M., Trebesch C. (2021). China's Overseas Lending. Journal of International Economics: 133 103539; https://doi.org/10.1016/j.jinteco.2021.103539.

China bailouts dataset

• Data on China’s international rescue lending operations to 22 countries 2000-2021 collected by Horn/Parks/Reinhart/Trebesch
• Dataset available here
• This data should be cited as coming from Horn, S., Parks, S., Reinhart, C.M., Trebesch, C. (2023). China as an International Lender of Last Resort. NBER Working Paper 31105. doi.org//10.3386/w31105

China contract database

• Chinese contract database collected by Gelpern / Horn / Morris / Parks/ Trebesch
• The dataset and original contracts are available here
• This data should be cited as coming from Gelpern, A., Horn, S., Morris, S., Parks, B., Trebesch, C. (2023). How China lends: a rare look into 100 debt contracts with foreign governments. Economic Policy  38(114):  345 – 416.   https://doi.org/10.1093/epolic/eiac054 

• Database - Foreign Exchange Intervention, Data of monthly foreign exchange interventions for 49 countries over up to 22 years.
  This data should be cited as coming from“Fratzscher, M., Heidland, T., Menkhoff, L. et al. Foreign Exchange Intervention: A New Database. IMF Econ Rev 71, 852–884 (2023). https://doi.org/10.1057/s41308-022-00190-8”.

• Data Set of the Paper: "Exportweltmeister: Germany’s Foreign Investment Returns in International Comparison"

• Survey 2008 & 2013 [restricted access] - establishment data set on management practices and firm success.

The website indiandevelopmentfinance.net is the result of a collaboration between the ETH Zurich, Heidelberg University, the University of Göttingen, the Kiel Institute, and AidData, a research lab at William & Mary. It serves as a platform to share digitized and geocoded project-level information on all Indian development cooperation projects reported in official documents of India’s Ministry of External Affairs (MEA) and the Export-Import Bank of India (Exim) between 2007-2014.

When using either dataset, please cite as: Asmus, G., Eichenauer, V.Z., Fuchs, A., and Parks, B. (2021). Does India Use Development Finance to Compete with China? A Subnational Analysis. AidData Working Paper #110. Williamsburg, VA: AidData at William & Mary.

• The PLAD website provides access to a broad range of sources on the personal characteristics of political leaders (see Data page). We also provide our own data – the Political Leaders’ Affiliation Database (PLAD) – which contains a wealth of information, including geocoded information on the birthplaces and ethnicities of the effective leaders of 177 countries around the world over the 1989-2023 period.
   

• Please cite the PLAD as:
  Bomprezzi, Pietro; Dreher, Axel; Fuchs, Andreas; Hailer, Teresa; Kammerlander, Andreas; Kaplan, Lennart; Marchesi, Silvia; Masi, Tania; Robert, Charlotte; Unfried, Kerstin (2024). Wedded to Prosperity? Informal Influence and Regional Favoritism. CEPR Discussion Paper 18878.

The “Recoupling Dashboard” provides a new theoretical and empirical basis for assessing well-being beyond GDP.  It introduces two new, innovative indexes, agency and solidarity, to be examined alongside economic prosperity as well as environmental sustainability to gain a more balanced and profound understanding of well-being. The agency index involves people's need to influence their fate through their own efforts and is measured across five components: “Labor market insecurity,” “Vulnerable employment,” “Life expectancy,” “Years in education” and “Confidence in empowering institutions”. The solidarity index adresses social cohesion and social inclusion. It is measured across three components: “Giving behavior,” “Trust in other people” and “Social support”.

Download 2007 data [.xlsx]    |   Download 2017 data [.xlsx]    |   Currently we are updating the dashboard with 2024 data.

• Mexico Social Accounting Matrix, 2008
• Bolivia Social Accounting Matrix, 2012
• Yemen Social Accounting Matrix, 2012

Dataset on 1000 sovereign debt restructurings since 1970 

• The dataset includes "hidden" Chinese debt restructurings 2000-2020 and is available here
• The data update /correct the dataset on Paris Club restructurings from "Sovereign Debt Restructurings 1950–2010: Literature Survey, Data, and Stylized Facts" (with U. Das and M. Papaioannou), here is the old list of Paris Club agreements 1950-2010 (updated November 2012)

• This data should be cited as coming from Horn, S., Reinhart, C. M., Trebesch, C. (2022) Hidden Defaults AEA Papers and Proceedings 112: 531–35. doi.org/10.1257/pandp.20221002 

Monthly sovereign default dataset

• 2020 update of monthly default and restructuring dataset, now including start and end dates of 197 sovereign default spells / debt restructurings with foreign banks/bondholders 1970-2020, last updated September 23, 2020
• The original data are from Asonuma, T., Trebesch, C. (2016).  Sovereign Debt Restructurings: Preemtive or Post Default. Journal of the European Economic Association 14(1):175–214. doi.org/10.1111/jeea.12156
• Can be easily merged with Cruces/Trebesch haircut dataset below (see Excel column "Case nr in Cruces/Trebesch database")
• The Readme summarizes the coding, definitions (start and end dates, preemptive vs. post-default) as well as differences to existing default datasets.
   

Haircut dataset (creditor losses in sovereign debt restructurings)

• 2014 update of haircut dataset, now incl. 187 sovereign debt restructurings with foreign banks/bondholders 1970-2013.
•  See Appendix for further details, and for data sources on each restructuring case.
   
• This data should be cited as coming from Cruces, J.J., Trebesch, C. (2013). Sovereign Defaults: The Price of Haircuts.   American Economic Journal: Macroeconomics 5(3): 85–117. dx.doi.org/10.1257/mac.5.3.85
   

Litigation dataset (lawsuits in sovereign defaults)

• 2018 version of sovereign debt litigation database covering sovereign debt litigation events in defaults and restructurings 1970-2010.
• See paper and appendix for details on coding and sources. The paper also contains case studies 2011-2018.
• This data should be cited as coming from Schumacher, J., Trebesch, C., Enderlein, H. (2012). Sovereign defaults in court. Journal of International Economics 131103388, doi.org/10.1016/j.jinteco.2020.103388.
• Replication data folder for the JIE article

• Combined International Trade and Investment Data (CITID) [hinterlegt mit dem Link https://www.forschungsdatenzentrum.de/de/afid/citid], This database uniquely allows to link micro data on trade in goods, trade in services, inward and outward foreign direct investment activities and operational data for German firms. The linking was developed within a joint project financed by German Federal Ministry of Economics and led by the Kiel Institute for the World Economy, also including the Institut für Angewandte Wirtschaftsforschung (IAW) at the University of Tübingen, the Federal Statistical Office of Germany and the Deutsche Bundesbank.
   
• Data description: Boddin, Kruse, Merkle, Walter, Zapf (2024). Combined International Trade and Investment Data “CITID” – A New Innovative and Comprehensive Data Landscape for Germany. Jahrbücher für Nationalökonomie und Statistik 245(3): 339-350.https://doi.org/10.1515/jbnst-2024-0024
   
• First application: Görg, Jacobs, Meuchelböck (2024). Who is to suffer? Quantifying the impact of sanctions on German firms. Journal of Economic Behavior & Organization 228: 106767. https://doi.org/10.1016/j.jebo.2024.106767

• FDI of USA, Germany & Japan – Annual Stockdata, by countries of destination and sectors
• World Trade by Commodity Classes and Regions in percent of total
• World Trade by Commodity Classes and Regions in percent of total – Historical Data (break 2018)
• World Trade by Commodity Classes and Regions in percent of total – Historical Data (break 2008)