Maria Florencia Gabrielli

Personal Details

First Name:	Maria
Middle Name:	Florencia
Last Name:	Gabrielli
Suffix:
RePEc Short-ID:	pga1065
	[This author has chosen not to make the email address public]
	https://sites.google.com/site/mflorenciagabrielli/home
Terminal Degree:	Department of Economics; Pennsylvania State University (from RePEc Genealogy)

Affiliation

Facultad de Economía y Negocios
Universidad del Desarrollo

Santiago, Chile
http://negocios.udd.cl/
RePEc:edi:feuddcl (more details at EDIRC)

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. María Florencia Gabrielli & Manuel Willington, 2020. "Assessment of collusion damages in first price auctions," Working Papers 5, Red Nacional de Investigadores en Economía (RedNIE).

   Cited by:

   1. Suguru Otani, 2024. "Industry Dynamics with Cartels: The Case of the Container Shipping Industry," Discussion Paper Series DP2024-28, Research Institute for Economics & Business Administration, Kobe University.
   2. Suguru Otani, 2024. "Industry Dynamics with Cartels: The Case of the Container Shipping Industry," Papers 2407.15147, arXiv.org.

2. Gaurab Aryal & Maria Florencia Gabrielli & Quang Vuong, 2014. "Semiparametric Estimation of First-Price Auction Models," Papers 1407.7140, arXiv.org, revised Jun 2015.
   • Gaurab Aryal & Maria F. Gabrielli & Quang Vuong, 2021. "Semiparametric Estimation of First-Price Auction Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 373-385, March.
   • Aryal, Gaurab & Gabrielli, Maria F. & Vuong, Quang, 2014. "Semiparametric Estimation of First-Price Auction Models," MPRA Paper 57340, University Library of Munich, Germany.

   Cited by:

   1. Aryal, Gaurab & Gabrielli, Maria F., 2012. "Is Collusion Proof Auction Expensive? Estimates from Highway Procurements," MPRA Paper 57353, University Library of Munich, Germany, revised 19 Feb 2014.
   2. Gabrielli, M. Florencia & Willington, Manuel, 2023. "Estimating damages from bidding rings in first-price auctions," Economic Modelling, Elsevier, vol. 126(C).
   3. Gaurab Aryal & Maria Florencia Gabrielli, 2023. "Is Collusion-proof Procurement Expensive?," Working Papers 248, Red Nacional de Investigadores en Economía (RedNIE).
      • Gaurab Aryal & Maria F. Gabrielli, 2015. "Is Collusion-Proof Procurement Expensive?," Papers 1508.05353, arXiv.org, revised Nov 2020.

3. Gaurab Aryal & Maria F. Gabrielli, 2012. "Estimating Revenue Under Collusion-Proof Auctions," ANU Working Papers in Economics and Econometrics 2012-597, Australian National University, College of Business and Economics, School of Economics.

   Cited by:

   1. Anil Chorppath & Tansu Alpcan & Holger Boche, 2015. "Adversarial Behavior in Network Games," Dynamic Games and Applications, Springer, vol. 5(1), pages 26-64, March.
   2. Maria Florencia Gabrielli, 2023. "Detecting Collusion on Highway Procurement," Working Papers 263, Red Nacional de Investigadores en Economía (RedNIE).
      • Florencia M. Gabrielli, 2013. "Detecting Collusion on Highway Procurement," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 59, pages 127-165, January-D.

4. Javier Alejo & María Florencia Gabrielli & Walter Sosa Escudero, 2011. "The distributive Effects of Education: An Unconditional Quantile Regression Approach," CEDLAS, Working Papers 0125, CEDLAS, Universidad Nacional de La Plata.
   • Javier Alejo & Maria Florencia Gabrielli & Walter Sosa-Escudero, 2014. "The Distributive Effects of Education: An Unconditional Quantile Regression Approach," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 29(1), pages 53-76, April.
   • Alejo, Javier & Gabrielli, Florencia & Sosa Escudero, Walter, 2011. "The distributive effects of education: an unconditional quantile regression approach," MPRA Paper 42933, University Library of Munich, Germany, revised 2012.

   Cited by:

   1. Andini, Corrado, 2017. "Tertiary Education for All and Wage Inequality: Policy Insights from Quantile Regression," IZA Policy Papers 132, Institute of Labor Economics (IZA).
      • Corrado Andini, 2022. "Tertiary education for all and wage inequality: policy insights from quantile regression," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(6), pages 1281-1296, November.
   2. Schreurs, Eloi & Peeters, Ludo & Van Passel, Steven, 2014. "Analyzing the impacts of soil contamination and urban development pressure on farmland values: Unconditional quantile regression estimation," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182741, European Association of Agricultural Economists.
   3. Cobb-Clark, Deborah A. & de New, Sonja C. & Sinning, Mathias, 2013. "Locus of Control and Savings," IZA Discussion Papers 7837, Institute of Labor Economics (IZA).
      • Cobb-Clark, Deborah A. & Kassenboehmer, Sonja C. & Sinning, Mathias G., 2016. "Locus of control and savings," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 113-130.
      • Deborah A. Cobb-Clark & Sonja C. Kassenboehmer & Mathias G. Sinning, 2014. "Locus of Control and Savings," Discussion Papers Series 498, School of Economics, University of Queensland, Australia.
      • Cobb-Clark, Deborah A. & Kassenboehmer, Sonja C. & Sinning, Mathias G., 2013. "Locus of Control and Savings," Ruhr Economic Papers 455, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
      • Deborah A. Cobb-Clark & Sonja C. Kassenboehmer & Mathias G. Sinning, 2013. "Locus of Control and Savings," Melbourne Institute Working Paper Series wp2013n42, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
   4. Roxana Maurizio & Luis Beccaria & Ana Monsalvo, 2022. "Labour Formalization and Inequality: The Distributive Impact of Labour Formalization in Latin America since 2000," Development and Change, International Institute of Social Studies, vol. 53(1), pages 117-165, January.
   5. Stefan Schneck, 2020. "Self-employment as a source of income inequality," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 45-64, March.
   6. Schneck, Stefan, 2018. "The Effect of Self-Employment on Income Inequality," GLO Discussion Paper Series 281, Global Labor Organization (GLO).
      • Schneck, Stefan, 2018. "The effect of self-employment on income inequality," Working Papers 05/18, Institut für Mittelstandsforschung (IfM) Bonn.
      • Stefan Schneck, 2018. "The Effect of Self-Employment on Income Inequality," SOEPpapers on Multidisciplinary Panel Data Research 999, DIW Berlin, The German Socio-Economic Panel (SOEP).
   7. Dai Binh Tran & Sasiwimon Warunsiri Paweenawat, 2023. "The returns to education and wage penalty from overeducation: New evidence from Vietnam," Bulletin of Economic Research, Wiley Blackwell, vol. 75(4), pages 1267-1290, October.
   8. Ebru Çaglayan Akay & Fulden Komuryakan, 2021. "What Do Conditional and Unconditional Quantile Regression Models Tell Us Something Different About Wage Inequality in Turkey?," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 64(64), pages 257-277, December.
   9. Darío Judzik & Lucía Trujillo & Soledad Villafañe, 2017. "A tale of two decades: Income inequality and public policy in Argentina (1996-2014)," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 36(72), October.
   10. Tiiu Paas & Maryna Tverdostup, 2016. "Assessment of labour market returns in the case of gender unique human capital," ERSA conference papers ersa16p157, European Regional Science Association.
   11. Petra Sauer & Philippe Van Kerm & Daniele Checchi, 2023. "Higher Education Expansion & Labour Income Inequality in High-income Countries: A Gender-specific Perspective," LIS Working papers 837, LIS Cross-National Data Center in Luxembourg.

5. Gaurab Aryal & Maria F. Gabrielli, 2011. "Testing for Collusion in Asymmetric First-Price Auctions," ANU Working Papers in Economics and Econometrics 2011-564, Australian National University, College of Business and Economics, School of Economics.
   • Aryal, Gaurab & Gabrielli, Maria F., 2013. "Testing for collusion in asymmetric first-price auctions," International Journal of Industrial Organization, Elsevier, vol. 31(1), pages 26-35.

   Cited by:

   1. Maria Florencia Gabrielli, 2023. "Detecting Collusion on Highway Procurement," Working Papers 263, Red Nacional de Investigadores en Economía (RedNIE).
      • Florencia M. Gabrielli, 2013. "Detecting Collusion on Highway Procurement," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 59, pages 127-165, January-D.
   2. Imhof, David, 2017. "Simple Statistical Screens to Detect Bid Rigging," FSES Working Papers 484, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
   3. Hannes Wallimann & David Imhof & Martin Huber, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," Papers 2004.05629, arXiv.org.
      • Wallimann, Hannes & Imhof, David & Huber, Martin, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," FSES Working Papers 513, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
      • Hannes Wallimann & David Imhof & Martin Huber, 2023. "A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1669-1720, December.
   4. Nianqing Liu & Yao Luo, 2017. "A Nonparametric Test For Comparing Valuation Distributions In First‐Price Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 58(3), pages 857-888, August.
   5. Florencia Gabrielli, 2014. "Econometrics of First Price Auctions: a Survey of the Theoretical and Applied Literature," Económica, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, vol. 60, pages 77-118, January-D.
      • Maria Florencia Gabrielli, 2023. "Econometrics of first Price Auctions: a Survey of the Theoretical and Applied Literature," Working Papers 252, Red Nacional de Investigadores en Economía (RedNIE).
   6. Lok, Thomas M. & Tabri, Rami V., 2021. "An improved bootstrap test for restricted stochastic dominance," Journal of Econometrics, Elsevier, vol. 224(2), pages 371-393.
   7. Huang, Yangguang & Xia, Jijun, 2019. "Procurement auctions under quality manipulation corruption," European Economic Review, Elsevier, vol. 111(C), pages 380-399.
   8. Aryal, Gaurab & Gabrielli, Maria F., 2012. "Is Collusion Proof Auction Expensive? Estimates from Highway Procurements," MPRA Paper 57353, University Library of Munich, Germany, revised 19 Feb 2014.
   9. Ricardo Carvalho Lima & Guilherme Mendes Resende, 2021. "Using the Moran’s I to detect bid rigging in Brazilian procurement auctions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 237-254, April.
   10. Imhof, David, 2017. "Econometric tests to detect bid-rigging cartels: does it work?," FSES Working Papers 483, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
   11. Huang, Yangguang, 2019. "An empirical study of scoring auctions and quality manipulation corruption," European Economic Review, Elsevier, vol. 120(C).
   12. Robert Clark & Decio Coviello & Adriano De Leverano, 2020. "Complementary bidding and the collusive arrangement: Evidence from an antitrust investigation," Working Paper 1446, Economics Department, Queen's University.
       • Clark, Robert & Coviello, Decio & de Leverano, Adriano, 2020. "Complementary bidding and the collusive arrangement: Evidence from an antitrust investigation," ZEW Discussion Papers 20-052, ZEW - Leibniz Centre for European Economic Research.
   13. Granlund, David & Rudholm, Niklas, 2023. "Calculating the probability of collusion based on observed price patterns," Umeå Economic Studies 1014, Umeå University, Department of Economics, revised 13 Oct 2023.
   14. Riccardo Camboni Marchi Adani & Paola Valbonesi, 2016. "Favouritism in scoring rule auctions," "Marco Fanno" Working Papers 0210, Dipartimento di Scienze Economiche "Marco Fanno".
   15. Imhof, David & Karagök, Yavuz & Rutz, Samuel, 2016. "Screening for bid-rigging - does it work?," FSES Working Papers 468, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
   16. Robert Clark & Ig Horstmann & Jean-Francois Houde, 2021. "Hub-and-spoke cartels: Theory and evidence from the grocery industry," Working Paper 1473, Economics Department, Queen's University.
       • Robert Clark & Ignatius Horstmann & Jean-François Houde, 2021. "Hub and Spoke Cartels: Theory and Evidence from the Grocery Industry," NBER Working Papers 29253, National Bureau of Economic Research, Inc.
   17. Kaplan, Uma & Marmer, Vadim & Shneyerov, Artyom, 2016. "Identifying Collusion in English Auctions," Microeconomics.ca working papers vadim_marmer-2016-3, Vancouver School of Economics, revised 08 Jul 2017.
   18. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for Collusion in Wholesale Electricity Markets: A Review of the Literature," Working Papers 2023-7, University of Alberta, Department of Economics.
   19. Garcia Pires, Armando J. & Skjeret, Frode, 2023. "Screening for partial collusion in retail electricity markets," Energy Economics, Elsevier, vol. 117(C).
   20. Bedri Kamil Onur Tas, 2024. "A machine learning approach to detect collusion in public procurement with limited information," Journal of Computational Social Science, Springer, vol. 7(2), pages 1913-1935, October.
   21. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
   22. Huber, Martin & Imhof, David, 2019. "Machine learning with screens for detecting bid-rigging cartels," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 277-301.
       • Huber, Martin & Imhof, David, 2018. "Machine Learning with Screens for Detecting Bid-Rigging Cartels," FSES Working Papers 494, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
   23. Sümeyra Atmaca, 2020. "Application Period in Reverse Auctions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 20/993, Ghent University, Faculty of Economics and Business Administration.
   24. David Imhof & Yavuz Karagök & SAMUEL RUTZ, 2017. "Screening for Bid-rigging. Does it Work?," Working Papers 2017-09, CRESE.
   25. Rami V. Tabri & Mathew J. Elias, 2024. "Testing for Restricted Stochastic Dominance under Survey Nonresponse with Panel Data: Theory and an Evaluation of Poverty in Australia," Papers 2406.15702, arXiv.org.
   26. Bedri Kamil Onur Tas, 2017. "Collusion Detection in Public Procurement with Limited Information," Working Papers 1127, Economic Research Forum, revised 08 Oct 2017.
   27. Fakih, Ali & Makdissi, Paul & Marrouch, Walid & Tabri, Rami V. & Yazbeck, Myra, 2022. "A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions," Journal of Econometrics, Elsevier, vol. 228(2), pages 342-358.
       • Fakih, Ali & Makdissi, Paul & Marrouch, Walid & Tabri, Rami V. & Yazbeck, Myra, 2020. "A stochastic dominance test under survey nonresponse with an application to comparing trust levels in Lebanese public institutions," Working Papers 2020-05, University of Sydney, School of Economics, revised Jun 2021.
   28. Bedri Kamil Onur Tas, 2023. "Bunching below thresholds to manipulate public procurement," Empirical Economics, Springer, vol. 64(1), pages 303-319, January.
   29. Gaurab Aryal & Maria Florencia Gabrielli, 2023. "Is Collusion-proof Procurement Expensive?," Working Papers 248, Red Nacional de Investigadores en Economía (RedNIE).
       • Gaurab Aryal & Maria F. Gabrielli, 2015. "Is Collusion-Proof Procurement Expensive?," Papers 1508.05353, arXiv.org, revised Nov 2020.
   30. David Imhof & Hannes Wallimann, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," Papers 2105.00337, arXiv.org.
   31. Huber, Martin & Imhof, David, 2023. "Flagging cartel participants with deep learning based on convolutional neural networks," International Journal of Industrial Organization, Elsevier, vol. 89(C).
   32. Nianqing Liu & Yao Luo, 2014. "A Nonparametric Test of Exogenous Participation in First-Price Auctions," Working Papers tecipa-519, University of Toronto, Department of Economics.
   33. Brown, David P. & Eckert, Andrew & Silveira, Douglas, 2023. "Screening for collusion in wholesale electricity markets: A literature review," Utilities Policy, Elsevier, vol. 85(C).

6. Florencia Gabrielli & George McCandless, 2004. "The Intertemporal Relationship between Money and Prices: Evidence for Argentina," Econometric Society 2004 Latin American Meetings 30, Econometric Society.

   Cited by:

Articles

1. Gaurab Aryal & Maria F. Gabrielli & Quang Vuong, 2021. "Semiparametric Estimation of First-Price Auction Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 373-385, March.
   • Gaurab Aryal & Maria Florencia Gabrielli & Quang Vuong, 2014. "Semiparametric Estimation of First-Price Auction Models," Papers 1407.7140, arXiv.org, revised Jun 2015.
   • Aryal, Gaurab & Gabrielli, Maria F. & Vuong, Quang, 2014. "Semiparametric Estimation of First-Price Auction Models," MPRA Paper 57340, University Library of Munich, Germany.
   See citations under working paper version above.
2. Aryal, Gaurab & Gabrielli, Maria F., 2020. "An empirical analysis of competitive nonlinear pricing," International Journal of Industrial Organization, Elsevier, vol. 68(C).
   • Gaurab Aryal, 2013. "An Empirical Analysis of Competitive Nonlinear Pricing," ANU Working Papers in Economics and Econometrics 2013-610, Australian National University, College of Business and Economics, School of Economics.

   Cited by:

   1. Chen, Liang & Luo, Yao, 2023. "Empirical analysis of network effects in nonlinear pricing data," International Journal of Industrial Organization, Elsevier, vol. 91(C).
   2. Ambarish Chandra, 2020. "Price Discrimination along Multiple Dimensions: New Evidence from a Regional Airline," Working Papers tecipa-676, University of Toronto, Department of Economics.
   3. Gaurab Aryal & Charles Murry & Jonathan W. Williams, 2018. "Price Discrimination in International Airline Markets," Boston College Working Papers in Economics 968, Boston College Department of Economics.
      • Gaurab Aryal & Charles Murry & Jonathan W. Williams, 2021. "Price Discrimination in International Airline Markets," Papers 2102.05751, arXiv.org, revised Dec 2022.
   4. Alessandro Iaria, & Wang, Ao, 2021. "An Empirical Model of Quantity Discounts with Large Choice Sets," The Warwick Economics Research Paper Series (TWERPS) 1378, University of Warwick, Department of Economics.
   5. Wang, Li & Zhang, Xin-Hua & Zhang, Yue-Jun, 2023. "Designing the pricing mechanism of residents’ self-selection sales electricity based on household size," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 860-878.
   6. Liang Chen & Yao Luo, 2023. "Empirical Analysis of Network Effects in Nonlinear Pricing Data," Working Papers tecipa-758, University of Toronto, Department of Economics.
   7. Gaurab Aryal & Federico Zincenko, 2014. "Identification and Estimation of Multidimensional Screening," Papers 1411.6250, arXiv.org, revised Oct 2024.

3. Maria Florencia Gabrielli & Monserrat Serio, 2017. "Testing Assortative Mating: Evidence From Argentina," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 32(2), pages 109-129, October.

   Cited by:

   1. Mariano Tommasi & María Edo & Agustina Thailinger, 2021. "Familia y desarrollo humano en el siglo XXI. Revisión de la literatura internacional y algunos apuntes para el caso argentino," Working Papers 152, Universidad de San Andres, Departamento de Economia, revised May 2021.

4. Javier Alejo & Maria Florencia Gabrielli & Walter Sosa-Escudero, 2014. "The Distributive Effects of Education: An Unconditional Quantile Regression Approach," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 29(1), pages 53-76, April.
   • Alejo, Javier & Gabrielli, Florencia & Sosa Escudero, Walter, 2011. "The distributive effects of education: an unconditional quantile regression approach," MPRA Paper 42933, University Library of Munich, Germany, revised 2012.
   • Javier Alejo & María Florencia Gabrielli & Walter Sosa Escudero, 2011. "The distributive Effects of Education: An Unconditional Quantile Regression Approach," CEDLAS, Working Papers 0125, CEDLAS, Universidad Nacional de La Plata.
   See citations under working paper version above.
5. Aryal, Gaurab & Gabrielli, Maria F., 2013. "Testing for collusion in asymmetric first-price auctions," International Journal of Industrial Organization, Elsevier, vol. 31(1), pages 26-35.
   • Gaurab Aryal & Maria F. Gabrielli, 2011. "Testing for Collusion in Asymmetric First-Price Auctions," ANU Working Papers in Economics and Econometrics 2011-564, Australian National University, College of Business and Economics, School of Economics.
   See citations under working paper version above.
6. Florencia Gabrielli & George Mc Candless & Josefin Rouillet, 2004. "The Intertemporal Relation Between Money and Prices: Evidence from Argentina," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 41(123), pages 199-215.

   Cited by:

   1. Basco, Emiliano & D'Amato, Laura & Garegnani, Lorena, 2009. "Understanding the money-prices relationship under low and high inflation regimes: Argentina 1977-2006," Journal of International Money and Finance, Elsevier, vol. 28(7), pages 1182-1203, November.
   2. John Thornton, 2006. "The Intertemporal Relation Between Money And Prices In South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 74(1), pages 59-64, March.

7. George McCandless & Maria Florencia Gabrielli & María Josefina Rouillet, 2003. "Determining the causes of bank runs in Argentina during the crisis of 2001," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 18(1), pages 87-102, June.

   Cited by:

   1. Gustavo Adler & Mr. Eugenio M Cerutti, 2015. "Are Foreign Banks a 'Safe Haven'? Evidence from Past Banking Crises," IMF Working Papers 2015/043, International Monetary Fund.
   2. Eduardo Levy‐Yeyati & María Soledad Martínez Pería & Sergio L. Schmukler, 2010. "Depositor Behavior under Macroeconomic Risk: Evidence from Bank Runs in Emerging Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 585-614, June.
      • Eduardo Levy-Yeyati & Marõa Soledad Martõnez Perõa & Sergio L. Schmukler, 2010. "Depositor Behavior under Macroeconomic Risk: Evidence from Bank Runs in Emerging Economies," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 42(4), pages 585-614, June.
   3. Paolo Manasse & Roberto Savona & Marika Vezzoli, 2016. "Danger Zones for Banking Crises in Emerging Markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 21(4), pages 360-381, October.
   4. Dijk, Oege, 2017. "Bank run psychology," Journal of Economic Behavior & Organization, Elsevier, vol. 144(C), pages 87-96.
   5. Xuefang Liu & W. Robert J. Alexander & Sajid Anwar, 2018. "Bank Runs in China: Evidence from a Dynamic Panel Model," Arthaniti: Journal of Economic Theory and Practice, , vol. 17(1), pages 15-30, June.
   6. Brei, Michael & Schclarek, Alfredo, 2013. "Public bank lending in times of crisis," Journal of Financial Stability, Elsevier, vol. 9(4), pages 820-830.
      • Michael Brei & Alfredo Schclarek, 2013. "Public Bank Lending in Times of Crisis," Post-Print hal-01410578, HAL.
   7. Virginia Goday & Bertrand Gruss & Jorge Ponce, 2005. "Depositors’ Discipline in Uruguayan Banks," Documentos de trabajo 2005003, Banco Central del Uruguay.
   8. Karlo Kauko, 2016. "Does Opaqueness Make Equity Capital Expensive for Banks?," Revista de Economía del Rosario, Universidad del Rosario, vol. 17(2), pages 203-227, February.

More information

Research fields, statistics, top rankings, if available.

Statistics

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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 13 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-COM: Industrial Competition (7) 2011-11-28 2014-07-28 2015-08-30 2021-05-24 2023-04-03 2023-06-26 2023-08-28. Author is listed
2. NEP-DES: Economic Design (4) 2020-11-16 2021-05-24 2021-05-24 2023-06-26
3. NEP-ECM: Econometrics (4) 2011-11-28 2012-12-22 2014-07-28 2021-05-24
4. NEP-IND: Industrial Organization (2) 2023-04-03 2023-06-26
5. NEP-REG: Regulation (2) 2023-04-03 2023-06-26
6. NEP-UPT: Utility Models and Prospect Theory (2) 2020-11-16 2021-05-24
7. NEP-DCM: Discrete Choice Models (1) 2017-06-04
8. NEP-ENE: Energy Economics (1) 2023-04-03
9. NEP-GER: German Papers (1) 2015-08-30
10. NEP-GTH: Game Theory (1) 2014-07-28
11. NEP-PAY: Payment Systems and Financial Technology (1) 2022-09-12

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