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Tobias Cagala

Personal Details

First Name:Tobias
Middle Name:
Last Name:Cagala
Suffix:
RePEc Short-ID:pca1055

Affiliation

Deutsche Bundesbank

Frankfurt, Germany
http://www.bundesbank.de/
RePEc:edi:dbbgvde (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software Chapters

Working papers

  1. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Causal Machine-Learning Approach," Papers 2103.10251, arXiv.org, revised Sep 2021.
  2. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Machine-Learning Approach," Economics working papers 2021-08, Department of Economics, Johannes Kepler University Linz, Austria.
  3. Tobias Cagala & Ulrich Glogowsky & Veronika Grimm & Johannes Rincke & Amanda Tuset-Cueva, 2019. "Rent Extraction and Prosocial Behavior," CESifo Working Paper Series 7808, CESifo.
  4. Tobias Cagala & Ulrich Glogowsky & Veronika Grimm & Johannes Rincke, 2017. "Public Goods Provision with Rent-Extracting Administrators," CESifo Working Paper Series 6801, CESifo.
  5. Cagala, Tobias, 2016. "Loss Aversion under Risk: The Role of Complexity," VfS Annual Conference 2016 (Augsburg): Demographic Change 145488, Verein für Socialpolitik / German Economic Association.
  6. Glogowsky, Ulrich & Cagala, Tobias & Rincke, Johannes & Grimm, Veronika, 2014. "Cooperation and Trustworthiness in Repeated Interaction," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100437, Verein für Socialpolitik / German Economic Association.
  7. Cagala, Tobias & Glogowsky, Ulrich & Rincke, Johannes, 2014. "A field experiment on intertemporal enforcement spillovers," Munich Reprints in Economics 27514, University of Munich, Department of Economics.
  8. Cagala, Tobias & Scaglioni, Giulia, 2011. "América Latina en el contexto del debate sobre empleo verde: potenciales para su desarrollo," Documentos de Proyectos 42411, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).

Articles

  1. Cagala, Tobias & Glogowsky, Ulrich & Grimm, Veronika & Rincke, Johannes & Tuset-Cueva, Amanda, 2019. "Rent extraction and prosocial behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 709-723.
  2. Tobias Cagala & Ulrich Glogowsky & Veronika Grimm & Johannes Rincke, 2019. "Public Goods Provision with Rent-extracting Administrators," The Economic Journal, Royal Economic Society, vol. 129(620), pages 1593-1617.
  3. Cagala, Tobias & Glogowsky, Ulrich & Rincke, Johannes, 2014. "A field experiment on intertemporal enforcement spillovers," Economics Letters, Elsevier, vol. 125(2), pages 171-174.

Software components

  1. Tobias Cagala & Ulrich Glogowsky, 2014. "XTVAR2: Stata module to compute panel vector autoregression," Statistical Software Components S457944, Boston College Department of Economics, revised 26 Sep 2024.

Chapters

  1. Tobias Cagala, 2017. "Improving data quality and closing data gaps with machine learning," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data needs and Statistics compilation for macroprudential analysis, volume 46, Bank for International Settlements.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Causal Machine-Learning Approach," Papers 2103.10251, arXiv.org, revised Sep 2021.

    Cited by:

    1. Achim Ahrens & Alessandra Stampi-Bombelli & Selina Kurer & Dominik Hangartner, 2023. "Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization," Papers 2305.00545, arXiv.org, revised Feb 2024.
    2. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2022. "Choosing Who Chooses: Selection-Driven Targeting in Energy Rebate Programs," NBER Working Papers 30469, National Bureau of Economic Research, Inc.
    3. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
    4. Feine, Gregor & Groh, Elke D. & von Loessl, Victor & Wetzel, Heike, 2021. "The double dividend of social information in charitable giving: Evidence from a framed field experiment," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242437, Verein für Socialpolitik / German Economic Association.
    5. Gabriel Okasa & Kenneth A. Younge, 2022. "Sample Fit Reliability," Papers 2209.06631, arXiv.org.
    6. Pol Campos-Mercade & Armando N. Meier & Stephan Meier & Devin Pope & Florian H. Schneider & Erik Wengström, 2024. "Incentives to Vaccinate," CESifo Working Paper Series 11379, CESifo.
      • Pol Campos-Mercade & Armando N. Meier & Stephan Meier & Devin G. Pope & Florian H. Schneider & Erik Wengström, 2024. "Incentives to Vaccinate," NBER Working Papers 32899, National Bureau of Economic Research, Inc.
    7. Strittmatter, Anthony, 2023. "What is the value added by using causal machine learning methods in a welfare experiment evaluation?," Labour Economics, Elsevier, vol. 84(C).

  2. Tobias Cagala & Ulrich Glogowsky & Johannes Rincke & Anthony Strittmatter, 2021. "Optimal Targeting in Fundraising: A Machine-Learning Approach," Economics working papers 2021-08, Department of Economics, Johannes Kepler University Linz, Austria.

    Cited by:

    1. Achim Ahrens & Alessandra Stampi-Bombelli & Selina Kurer & Dominik Hangartner, 2023. "Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization," Papers 2305.00545, arXiv.org, revised Feb 2024.
    2. Takanori Ida & Takunori Ishihara & Koichiro Ito & Daido Kido & Toru Kitagawa & Shosei Sakaguchi & Shusaku Sasaki, 2021. "Paternalism, Autonomy, or Both? Experimental Evidence from Energy Saving Programs," Papers 2112.09850, arXiv.org.
    3. Adam N. Smith & Stephan Seiler & Ishant Aggarwal, 2021. "Optimal Price Targeting," CESifo Working Paper Series 9439, CESifo.

  3. Tobias Cagala & Ulrich Glogowsky & Veronika Grimm & Johannes Rincke & Amanda Tuset-Cueva, 2019. "Rent Extraction and Prosocial Behavior," CESifo Working Paper Series 7808, CESifo.

    Cited by:

    1. Markussen, Thomas & Sharma, Smriti & Singhal, Saurabh & Tarp, Finn, 2021. "Inequality, institutions and cooperation," European Economic Review, Elsevier, vol. 138(C).
    2. Schippers, Anouk L. & Soetevent, Adriaan R., 2024. "Sharing with minimal regulation? Evidence from neighborhood book exchange," European Economic Review, Elsevier, vol. 161(C).

  4. Tobias Cagala & Ulrich Glogowsky & Veronika Grimm & Johannes Rincke, 2017. "Public Goods Provision with Rent-Extracting Administrators," CESifo Working Paper Series 6801, CESifo.

    Cited by:

    1. Goeschl, Timo & Soldà, Alice, 2024. "(Un)Trustworthy pledges and cooperation in social dilemmas," Journal of Economic Behavior & Organization, Elsevier, vol. 223(C), pages 106-119.
    2. Banerjee, Ritwik & Boly, Amadou & Gillanders, Robert, 2022. "Anti-tax evasion, anti-corruption and public good provision: An experimental analysis of policy spillovers," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 179-194.

Articles

  1. Cagala, Tobias & Glogowsky, Ulrich & Grimm, Veronika & Rincke, Johannes & Tuset-Cueva, Amanda, 2019. "Rent extraction and prosocial behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 166(C), pages 709-723.
    See citations under working paper version above.
  2. Tobias Cagala & Ulrich Glogowsky & Veronika Grimm & Johannes Rincke, 2019. "Public Goods Provision with Rent-extracting Administrators," The Economic Journal, Royal Economic Society, vol. 129(620), pages 1593-1617.
    See citations under working paper version above.Sorry, no citations of articles recorded.

Software components

  1. Tobias Cagala & Ulrich Glogowsky, 2014. "XTVAR2: Stata module to compute panel vector autoregression," Statistical Software Components S457944, Boston College Department of Economics, revised 26 Sep 2024.

    Cited by:

    1. Jérôme Creel & Mehdi El Herradi, 2024. "Income inequality and monetary policy in the euro area," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 332-355, January.
    2. Trofimov, Ivan D., 2020. "Public capital and productive economy profits: evidence from OECD economies," MPRA Paper 106848, University Library of Munich, Germany.
    3. Boysen-Hogrefe, Jens & Fiedler, Salomon & Groll, Dominik & Kooths, Stefan & Reitz, Stefan & Stolzenburg, Ulrich, 2016. "Konjunktur im Euroraum im Frühjahr 2016 - Euroraum: Erholung zunächst von Unsicherheit belastet [Euro Area Economy Spring 2016 - Euro Area: Uncertainty weighs temporarily on recovery]," Kieler Konjunkturberichte 16, Kiel Institute for the World Economy (IfW Kiel).
    4. Reitz, Stefan, 2016. "Auswirkungen des globalen Finanzzyklus auf den Euroraum," Kiel Insight 2016.6, Kiel Institute for the World Economy (IfW Kiel).
    5. Jérôme Creel & Mehdi El Herradi, 2019. "Shocking aspects of monetary policy on income inequality in the euro area," Documents de Travail de l'OFCE 2019-15, Observatoire Francais des Conjonctures Economiques (OFCE).
    6. Comunale, Mariarosaria, 2022. "A panel VAR analysis of macro-financial imbalances in the EU," Journal of International Money and Finance, Elsevier, vol. 121(C).
    7. George Apostolakis & Athanasios P. Papadopoulos, 2019. "Financial Stability, Monetary Stability and Growth: a PVAR Analysis," Open Economies Review, Springer, vol. 30(1), pages 157-178, February.

Chapters

  1. Tobias Cagala, 2017. "Improving data quality and closing data gaps with machine learning," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data needs and Statistics compilation for macroprudential analysis, volume 46, Bank for International Settlements.

    Cited by:

    1. Claudia Biancotti & Alfonso Rosolia & Giovanni Veronese & Robert Kirchner & Francois Mouriaux, 2021. "Covid-19 and official statistics: a wakeup call?," Questioni di Economia e Finanza (Occasional Papers) 605, Bank of Italy, Economic Research and International Relations Area.
    2. Davide Nicola Continanza & Andrea del Monaco & Marco di Lucido & Daniele Figoli & Pasquale Maddaloni & Filippo Quarta & Giuseppe Turturiello, 2023. "Stacking machine learning models for anomaly detection: comparing AnaCredit to other banking data sets," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Data science in central banking: applications and tools, volume 59, Bank for International Settlements.
    3. Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2021. "Learning from revisions: a tool for detecting potential errors in banks' balance sheet statistical reporting," Questioni di Economia e Finanza (Occasional Papers) 611, Bank of Italy, Economic Research and International Relations Area.
    4. Ezgi Deryol & Duygu Konukçu & Robert Szemere & Bruno Tissot, 2019. "Mind the data gap: commercial property prices for policy," IFC Reports 8, Bank for International Settlements.
    5. Okiriza Wibisono & Hidayah Dhini Ari & Anggraini Widjanarti & Alvin Andhika Zulen & Bruno Tissot, 2019. "The use of big data analytics and artificial intelligence in central banking – An overview," IFC Bulletins chapters, in: Bank for International Settlements (ed.), The use of big data analytics and artificial intelligence in central banking, volume 50, Bank for International Settlements.
    6. Fabio Zambuto & Simona Arcuti & Roberto Sabatini & Daniele Zambuto, 2021. "Application of classification algorithms for the assessment of confirmation to quality remarks," Questioni di Economia e Finanza (Occasional Papers) 631, Bank of Italy, Economic Research and International Relations Area.
    7. Kh. Jitenkumar Singh & A. Jiran Meitei & Nongzaimayum Tawfeeq Alee & Mosoniro Kriina & Nirendrakumar Singh Haobijam, 2022. "Machine learning algorithms for predicting smokeless tobacco status among women in Northeastern States, India," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2629-2639, October.
    8. Fabio Zambuto, 2021. "Quality checks on granular banking data: an experimental approach based on machine learning," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Micro data for the macro world, volume 53, Bank for International Settlements.
    9. Francesco Cusano & Giuseppe Marinelli & Stefano Piermattei, 2022. "Learning from revisions: an algorithm to detect errors in banks’ balance sheet statistical reporting," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 4025-4059, December.
    10. Teng, Sin Yong & Touš, Michal & Leong, Wei Dong & How, Bing Shen & Lam, Hon Loong & Máša, Vítězslav, 2021. "Recent advances on industrial data-driven energy savings: Digital twins and infrastructures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    11. José María Serena Garralda & Bruno Tissot, 2018. "Central banks and trade repositories derivatives data," IFC Reports 7, Bank for International Settlements.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Rankings

This author is among the top 5% authors according to these criteria:
  1. Number of Abstract Views in RePEc Services over the past 12 months
  2. Number of Downloads through RePEc Services over the past 12 months
  3. Number of Abstract Views in RePEc Services over the past 12 months, Weighted by Number of Authors
  4. Number of Downloads through RePEc Services over the past 12 months, Weighted by Number of Authors

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 8 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-EXP: Experimental Economics (6) 2015-02-22 2015-03-13 2018-03-12 2019-09-16 2021-05-03 2021-05-10. Author is listed
  2. NEP-BIG: Big Data (3) 2021-03-22 2021-05-03 2021-05-10
  3. NEP-CMP: Computational Economics (3) 2021-03-22 2021-05-03 2021-05-10
  4. NEP-GTH: Game Theory (3) 2015-02-22 2015-03-13 2018-03-12
  5. NEP-CBE: Cognitive and Behavioural Economics (2) 2015-03-13 2017-03-12
  6. NEP-SOC: Social Norms and Social Capital (2) 2015-02-22 2015-03-13
  7. NEP-CDM: Collective Decision-Making (1) 2018-03-12
  8. NEP-EVO: Evolutionary Economics (1) 2015-03-13
  9. NEP-UPT: Utility Models and Prospect Theory (1) 2017-03-12

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