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Kirill Pogorelskiy

Personal Details

First Name:Kirill
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Last Name:Pogorelskiy
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RePEc Short-ID:ppo638
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http://warwick.ac.uk/kbp

Affiliation

Department of Economics
University of Warwick

Coventry, United Kingdom
http://www.warwick.ac.uk/fac/soc/Economics/
RePEc:edi:dewaruk (more details at EDIRC)

Research output

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Jump to: Working papers Articles Books

Working papers

  1. Pogorelskiy. Kirill & Shum, Matthew, 2019. "News We Like to Share : How News Sharing on Social Networks Influences Voting Outcomes," The Warwick Economics Research Paper Series (TWERPS) 1199, University of Warwick, Department of Economics.
  2. Pogorelskiy, Kirill & Shum, Matthew, 2019. "News We Like to Share: How News Sharing on Social Networks Influences Voting Outcomes," CAGE Online Working Paper Series 427, Competitive Advantage in the Global Economy (CAGE).
  3. Pogorelskiy, Kirill & Traub, Stefan, 2017. "Skewness, Tax Progression, and Demand for Redistribution : Evidence from the UK," CRETA Online Discussion Paper Series 29, Centre for Research in Economic Theory and its Applications CRETA.
  4. Pogorelskiy, Kirill & Seidl, Christian & Traub, Stefan, 2010. "Tax progression: International and intertemporal comparison using LIS data," Economics Working Papers 2010-08, Christian-Albrechts-University of Kiel, Department of Economics.

Articles

  1. Emerson Melo & Kirill Pogorelskiy & Matthew Shum, 2019. "Testing The Quantal Response Hypothesis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(1), pages 53-74, February.
  2. Thomas R Palfrey & Kirill Pogorelskiy, 2019. "Communication Among Voters Benefits the Majority Party," The Economic Journal, Royal Economic Society, vol. 129(618), pages 961-990.
  3. Charles R. Plott & Kirill Pogorelskiy, 2017. "Call Market Experiments: Efficiency and Price Discovery through Multiple Calls and Emergent Newton Adjustments," American Economic Journal: Microeconomics, American Economic Association, vol. 9(4), pages 1-41, November.

Books

  1. Christian Seidl & Kirill Pogorelskiy & Stefan Traub, 2013. "Tax Progression in OECD Countries," Springer Books, Springer, edition 127, number 978-3-642-28317-8, October.

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. Pogorelskiy. Kirill & Shum, Matthew, 2019. "News We Like to Share : How News Sharing on Social Networks Influences Voting Outcomes," The Warwick Economics Research Paper Series (TWERPS) 1199, University of Warwick, Department of Economics.

    Cited by:

    1. Marcel Garz & Jil Sörensen & Daniel F. Stone, 2019. "Partisan Selective Engagement: Evidence from Facebook," CESifo Working Paper Series 7975, CESifo.
    2. Battaglini, Marco & Morton, Rebecca & Patacchini, Eleonora, 2020. "Social Groups and the Effectiveness of Protests," CEPR Discussion Papers 14385, C.E.P.R. Discussion Papers.
    3. Buechel, Berno & Mechtenberg, Lydia, 2015. "The Swing Voter's Curse in Social Networks," WiSo-HH Working Paper Series 29, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    4. Boris Ginzburg, 2023. "Slacktivism," Journal of Theoretical Politics, , vol. 35(2), pages 126-143, April.
    5. Budzinski, Oliver & Gänßle, Sophia & Lindstädt-Dreusicke, Nadine, 2021. "Data (r)evolution - The economics of algorithmic search and recommender services," Ilmenau Economics Discussion Papers 148, Ilmenau University of Technology, Institute of Economics.
    6. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2019. "Do People Value More Informative News?," CESifo Working Paper Series 8026, CESifo.
    7. Dugar, Subhasish & Shahriar, Quazi, 2023. "Lying for votes," Games and Economic Behavior, Elsevier, vol. 142(C), pages 46-72.
    8. Joan Calzada & Nestor Duch-Brown & Ricard Gil, 2021. "Do search engines increase concentration in media markets?," UB School of Economics Working Papers 2021/415, University of Barcelona School of Economics.
    9. van Gils, Freek & Müller, Wieland & Prüfer, Jens, 2020. "Big Data and Democracy," Other publications TiSEM ecc11d8d-1478-4dd2-b570-4, Tilburg University, School of Economics and Management.
    10. Ayesha Ali & Ihsan Ayyub Qazi, 2021. "Countering Misinformation on Social Media Through Educational Interventions: Evidence from a Randomized Experiment in Pakistan," Papers 2107.02775, arXiv.org.
    11. Giacomo De Luca & Thilo R. Huning & Paulo Santos Monteiro, 2021. "Britain has had enough of experts? Social networks and the Brexit referendum," Discussion Papers 21/01, Department of Economics, University of York.
    12. Ali, Ayesha & Qazi, Ihsan Ayyub, 2023. "Countering misinformation on social media through educational interventions: Evidence from a randomized experiment in Pakistan," Journal of Development Economics, Elsevier, vol. 163(C).
    13. Bowen, T. Renee & Galperti, Simone & Dmitriev, Danil, 2021. "Learning from Shared News: When Abundant Information Leads to Belief Polarization," CEPR Discussion Papers 15789, C.E.P.R. Discussion Papers.
    14. Jacob Meyer & Prithvijit Mukherjee & Lucas Rentschler, 2024. "Moderating (mis)information," Public Choice, Springer, vol. 199(1), pages 159-186, April.

  2. Pogorelskiy, Kirill & Shum, Matthew, 2019. "News We Like to Share: How News Sharing on Social Networks Influences Voting Outcomes," CAGE Online Working Paper Series 427, Competitive Advantage in the Global Economy (CAGE).

    Cited by:

    1. Battaglini, Marco & Morton, Rebecca & Patacchini, Eleonora, 2020. "Social Groups and the Effectiveness of Protests," CEPR Discussion Papers 14385, C.E.P.R. Discussion Papers.
    2. Buechel, Berno & Mechtenberg, Lydia, 2015. "The Swing Voter's Curse in Social Networks," WiSo-HH Working Paper Series 29, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    3. Aridor, Guy & Jiménez-Durán, Rafael & Levy, Ro'ee & Song, Lena, 2024. "The Economics of Social Media," CEPR Discussion Papers 18821, C.E.P.R. Discussion Papers.
    4. Boris Ginzburg, 2023. "Slacktivism," Journal of Theoretical Politics, , vol. 35(2), pages 126-143, April.
    5. Budzinski, Oliver & Gänßle, Sophia & Lindstädt-Dreusicke, Nadine, 2021. "Data (r)evolution - The economics of algorithmic search and recommender services," Ilmenau Economics Discussion Papers 148, Ilmenau University of Technology, Institute of Economics.
    6. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2019. "Do People Value More Informative News?," CESifo Working Paper Series 8026, CESifo.
    7. Dugar, Subhasish & Shahriar, Quazi, 2023. "Lying for votes," Games and Economic Behavior, Elsevier, vol. 142(C), pages 46-72.
    8. Joan Calzada & Nestor Duch-Brown & Ricard Gil, 2021. "Do search engines increase concentration in media markets?," UB School of Economics Working Papers 2021/415, University of Barcelona School of Economics.
    9. van Gils, Freek & Müller, Wieland & Prüfer, Jens, 2020. "Big Data and Democracy," Other publications TiSEM ecc11d8d-1478-4dd2-b570-4, Tilburg University, School of Economics and Management.
    10. Ayesha Ali & Ihsan Ayyub Qazi, 2021. "Countering Misinformation on Social Media Through Educational Interventions: Evidence from a Randomized Experiment in Pakistan," Papers 2107.02775, arXiv.org.
    11. Giacomo De Luca & Thilo R. Huning & Paulo Santos Monteiro, 2021. "Britain has had enough of experts? Social networks and the Brexit referendum," Discussion Papers 21/01, Department of Economics, University of York.
    12. Ali, Ayesha & Qazi, Ihsan Ayyub, 2023. "Countering misinformation on social media through educational interventions: Evidence from a randomized experiment in Pakistan," Journal of Development Economics, Elsevier, vol. 163(C).
    13. Bowen, T. Renee & Galperti, Simone & Dmitriev, Danil, 2021. "Learning from Shared News: When Abundant Information Leads to Belief Polarization," CEPR Discussion Papers 15789, C.E.P.R. Discussion Papers.
    14. Jacob Meyer & Prithvijit Mukherjee & Lucas Rentschler, 2024. "Moderating (mis)information," Public Choice, Springer, vol. 199(1), pages 159-186, April.

  3. Pogorelskiy, Kirill & Seidl, Christian & Traub, Stefan, 2010. "Tax progression: International and intertemporal comparison using LIS data," Economics Working Papers 2010-08, Christian-Albrechts-University of Kiel, Department of Economics.

    Cited by:

    1. Junyi Zhu, 2014. "Bracket Creep Revisited - with and without r > g: Evidence from Germany," Journal of Income Distribution, Ad libros publications inc., vol. 23(3), pages 106-158, November.
    2. Silvia Rocha-Akis, 2012. "The Pain and Gain of Offshoring: The Effects of Tax Progression in a Segmented Labour Market," CESifo Working Paper Series 3739, CESifo.

Articles

  1. Emerson Melo & Kirill Pogorelskiy & Matthew Shum, 2019. "Testing The Quantal Response Hypothesis," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(1), pages 53-74, February.

    Cited by:

    1. Jesper R.-V. Soerensen & Mogens Fosgerau, 2020. "How McFadden met Rockafellar and learnt to do more with less," Discussion Papers 20-01, University of Copenhagen. Department of Economics.
    2. Emerson Melo, 2022. "On the uniqueness of quantal response equilibria and its application to network games," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 74(3), pages 681-725, October.
    3. Khai Xiang Chiong & Matthew Shum, 2019. "Random Projection Estimation of Discrete-Choice Models with Large Choice Sets," Management Science, INFORMS, vol. 65(1), pages 256-271, January.
    4. Alan Kirman & François Laisney & Paul Pezanis-Christou, 2023. "Relaxing the symmetry assumption in participation games: a specification test for cluster-heterogeneity," Experimental Economics, Springer;Economic Science Association, vol. 26(4), pages 850-878, September.
    5. Dagsvik, John K., 2020. "Equilibria in Logit Models of Social Interaction and Quantal Response Equilibrium," HERO Online Working Paper Series 2020:5, University of Oslo, Health Economics Research Programme, revised 09 Mar 2023.
    6. Mogens Fosgerau & Emerson Melo & Matthew Shum & Jesper R.-V. Sørensen, 2021. "Some Remarks on CCP-based Estimators of Dynamic Models," Discussion Papers 21-03, University of Copenhagen. Department of Economics.
    7. Roy Allen & John Rehbeck, 2021. "A Generalization of Quantal Response Equilibrium via Perturbed Utility," Games, MDPI, vol. 12(1), pages 1-16, March.

  2. Thomas R Palfrey & Kirill Pogorelskiy, 2019. "Communication Among Voters Benefits the Majority Party," The Economic Journal, Royal Economic Society, vol. 129(618), pages 961-990.

    Cited by:

    1. Kwiek, Maksymilian & Marreiros, Helia & Vlassopoulos, Michael, 2019. "Voting as a war of attrition," Journal of Economic Behavior & Organization, Elsevier, vol. 167(C), pages 104-121.
    2. Buechel, Berno & Mechtenberg, Lydia, 2015. "The Swing Voter's Curse in Social Networks," WiSo-HH Working Paper Series 29, University of Hamburg, Faculty of Business, Economics and Social Sciences, WISO Research Laboratory.
    3. Christos Mavridis & Marco Serena, 2019. "Complete Information Pivotal-Voter Model with Asymmetric Group Size and Asymmetric Beneï¬ ts," Working Papers tax-mpg-rps-2019-17_2, Max Planck Institute for Tax Law and Public Finance.
    4. Philippos Louis & Orestis Troumpounis & Nikolaos Tsakas & Dimitrios Xefteris, 2020. "Protest voting in the laboratory," Working Papers 288072952, Lancaster University Management School, Economics Department.
    5. Luís Aguiar-Conraria & Pedro C. Magalhães & Christoph A. Vanberg, 2019. "What are the best quorum rules? A Laboratory Investigation," NIPE Working Papers 03/2019, NIPE - Universidade do Minho.
    6. Schlangenotto, Darius & Schnedler, Wendelin & Vadovic, Radovan, 2020. "Against All Odds: Tentative Steps Toward Efficient Information Sharing in Groups," IZA Discussion Papers 13547, Institute of Labor Economics (IZA).
    7. Friedman, Daniel & Rabanal, Jean Paul & Rud, Olga A. & Zhao, Shuchen, 2022. "On the empirical relevance of correlated equilibrium," Journal of Economic Theory, Elsevier, vol. 205(C).
    8. Cason, Timothy N. & Sharma, Tridib & Vadovič, Radovan, 2020. "Correlated beliefs: Predicting outcomes in 2 × 2 games," Games and Economic Behavior, Elsevier, vol. 122(C), pages 256-276.
    9. Timothy N. Cason & Tridib Sharma & Radovan Vadovic, 2019. "Corelated beliefs: Predicting outcomes in 2X2 games," Purdue University Economics Working Papers 1321, Purdue University, Department of Economics.
    10. Mavridis, Christos & Serena, Marco, 2021. "Complete information pivotal-voter model with asymmetric group size and asymmetric benefits," European Journal of Political Economy, Elsevier, vol. 67(C).
    11. Pedro Robalo, 2021. "Political Mobilization in the Laboratory: The Role of Norms and Communication," Games, MDPI, vol. 12(1), pages 1-40, March.
    12. Cesar Martinelli & Thomas R. Palfrey, 2017. "Communication and Information in Games of Collective Decision: A Survey of Experimental Results," Working Papers 1065, George Mason University, Interdisciplinary Center for Economic Science.
    13. Jordi Brandts & Leonie Gerhards & Lydia Mechtenberg, 2018. "Deliberative Structures and their Impact on Voting under Economic Conflict," Working Papers 1022, Barcelona School of Economics.

  3. Charles R. Plott & Kirill Pogorelskiy, 2017. "Call Market Experiments: Efficiency and Price Discovery through Multiple Calls and Emergent Newton Adjustments," American Economic Journal: Microeconomics, American Economic Association, vol. 9(4), pages 1-41, November.

    Cited by:

    1. Collins, Sean M. & James, Duncan & Servátka, Maroš & Vadovič, Radovan, 2021. "Attainment of equilibrium via Marshallian path adjustment: Queueing and buyer determinism," Games and Economic Behavior, Elsevier, vol. 125(C), pages 94-106.
    2. Duffy, John & Rabanal, Jean Paul & Rud, Olga A., 2021. "The impact of ETFs in secondary asset markets: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 674-696.
    3. Selten, Reinhard & Neugebauer, Tibor, 2019. "Experimental stock market dynamics: Excess bids, directional learning, and adaptive style-investing in a call-auction with multiple multi-period lived assets," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 209-224.
    4. John Duffy & Jean Paul Rabanal & Olga A. Rud, 2019. "The Impact of ETFs on Asset Markets: Experimental Evidence," Working Papers 154, Peruvian Economic Association.
    5. Jack Sarkissian, 2020. "Quantum coupled-wave theory of price formation in financial markets: price measurement, dynamics and ergodicity," Papers 2002.04212, arXiv.org.
    6. Koji Kotani & Kenta Tanaka & Shunsuke Managi, 2012. "On fundamental performance of a marketable permits system in a trader setting: Double auction vs. uniform price auction," Working Papers EMS_2012_08, Research Institute, International University of Japan.
    7. Emiko Fukuda & Shuhei Sato & Junyi Shen & Ken-Ichi Shimomura & Takehiko Yamato, 2020. "Walrasian Dynamics with Endowment Changes: The Gale Example in a Laboratory Market Experiment," Discussion Paper Series DP2020-20, Research Institute for Economics & Business Administration, Kobe University, revised Apr 2021.
    8. Brünner, Tobias & Levinsky, Rene, 2020. "Price discovery and gains from trade in asset markets with insider trading," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224618, Verein für Socialpolitik / German Economic Association.
    9. Caginalp, Carey & Caginalp, Gunduz, 2018. "The quotient of normal random variables and application to asset price fat tails," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 457-471.
    10. Sarkissian, Jack, 2020. "Quantum coupled-wave theory of price formation in financial markets: Price measurement, dynamics and ergodicity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    11. Carey Caginalp & Gunduz Caginalp, 2019. "Price equations with symmetric supply/demand; implications for fat tails," Papers 1904.00267, arXiv.org.
    12. Charles R. Plott & Timothy N. Cason & Benjamin J. Gillen & Hsingyang Lee & Travis Maron, 2023. "General equilibrium methodology applied to the design, implementation and performance evaluation of large, multi-market and multi-unit policy constrained auctions," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 75(3), pages 641-693, April.
    13. Kuhle, Wolfgang, 2021. "Equilibrium with computationally constrained agents," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 77-92.
    14. Caginalp, Carey & Caginalp, Gunduz, 2020. "Derivation of non-classical stochastic price dynamics equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).
    15. Benjamin J. Gillen & Masayoshi Hirota & Ming Hsu & Charles R. Plott & Brian W. Rogers, 2021. "Divergence and convergence in Scarf cycle environments: experiments and predictability in the dynamics of general equilibrium systems," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 71(3), pages 1033-1084, April.
    16. Carey Caginalp & Gunduz Caginalp, 2019. "Derivation of non-classical stochastic price dynamics equations," Papers 1908.01103, arXiv.org, revised Aug 2020.
    17. Collins, Sean M. & James, Duncan & Servátka, Maroš & Vadovič, Radovan, 2020. "Attainment of Equilibrium: Marshallian Path Adjustment and Buyer Determinism," MPRA Paper 104103, University Library of Munich, Germany.
    18. Gunduz Caginalp, 2020. "Fat tails arise endogenously in asset prices from supply/demand, with or without jump processes," Papers 2011.08275, arXiv.org, revised Mar 2021.

Books

  1. Christian Seidl & Kirill Pogorelskiy & Stefan Traub, 2013. "Tax Progression in OECD Countries," Springer Books, Springer, edition 127, number 978-3-642-28317-8, October.

    Cited by:

    1. Jonas Klos & Tim Krieger & Sven Stöwhase, 2022. "Measuring intra-generational redistribution in PAYG pension schemes," Public Choice, Springer, vol. 190(1), pages 53-73, January.
    2. Malte Rieth & Cristina Checherita‐Westphal & Maria‐Grazia Attinasi, 2016. "Personal income tax progressivity and output volatility: Evidence from OECD countries," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(3), pages 968-996, August.
    3. Pogorelskiy, Kirill & Traub, Stefan, 2017. "Skewness, Tax Progression, and Demand for Redistribution : Evidence from the UK," CRETA Online Discussion Paper Series 29, Centre for Research in Economic Theory and its Applications CRETA.
    4. Jan Vlachý, 2015. "Measuring the Effective Tax Burden of Lifetime Personal Income," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2015(3), pages 5-14.
    5. Peter J. Lambert & Runa Nesbakken & Thor O. Thoresen, 2015. "A common base answer to "Which country is most redistributive?"," Discussion Papers 811, Statistics Norway, Research Department.
    6. Paolo Caro, 2020. "Decomposing Personal Income Tax Redistribution with Application to Italy," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 18(1), pages 113-129, March.
    7. Suárez-Varela, Marta & Martínez-Espiñeira, Roberto & González-Gómez, Francisco, 2015. "An analysis of the price escalation of non-linear water tariffs for domestic uses in Spain," Utilities Policy, Elsevier, vol. 34(C), pages 82-93.
    8. Thor O. Thoresen & Zhiyang Jia & Peter J. Lambert, 2016. "Is there More Redistribution Now? A Review of Methods for Evaluating Tax Redistributional Effects," FinanzArchiv: Public Finance Analysis, Mohr Siebeck, Tübingen, vol. 72(3), pages 302-333, September.
    9. Madina Serikova & Lyazzat Sembiyeva & Kuralay Balginova & Gulzhan Alina & Aliya Shakharova & Anar Kurmanalina, 2020. "Tax revenues estimation and forecast for state tax audit," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(3), pages 2419-2435, March.
    10. Corrado Benassi & Emanuela Randon, 2021. "The distribution of the tax burden and the income distribution: theory and empirical evidence," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(3), pages 1087-1108, October.
    11. Jorge Onrubia & Fidel Picos-Sánchez & María Carmen Rodado, 2014. "Rethinking the Pfähler–Lambert decomposition to analyse real-world personal income taxes," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 21(4), pages 796-812, August.
    12. Paolo Di Caro, 2017. "Analisi distributiva dell?IRPEF utilizzando i microdati di fonte fiscale," ECONOMIA PUBBLICA, FrancoAngeli Editore, vol. 2017(1), pages 35-59.
    13. Libor Dousek & Klara Kaliskova & Daniel Munich, 2013. "Distribution of Average, Marginal and Participation Tax Rates among Czech Taxpayers: Results from a TAXBEN Model," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(6), pages 474-504, December.
    14. Jan Vlachý, 2017. "Analýza daňových systémů středoevropských zemí pomocí statistické simulace [An Analysis of Central European Tax Systems Using Statistical Simulation]," Politická ekonomie, Prague University of Economics and Business, vol. 2017(4), pages 410-423.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 5 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-PBE: Public Economics (3) 2010-10-02 2010-10-09 2017-05-07
  2. NEP-ACC: Accounting and Auditing (2) 2010-10-02 2010-10-09
  3. NEP-CDM: Collective Decision-Making (2) 2019-07-08 2019-07-29
  4. NEP-EXP: Experimental Economics (2) 2019-07-08 2019-07-29
  5. NEP-POL: Positive Political Economics (2) 2019-07-08 2019-07-29
  6. NEP-URE: Urban and Real Estate Economics (2) 2019-07-08 2019-07-29
  7. NEP-GTH: Game Theory (1) 2019-07-08
  8. NEP-ICT: Information and Communication Technologies (1) 2019-07-08
  9. NEP-NET: Network Economics (1) 2019-07-08
  10. NEP-PAY: Payment Systems and Financial Technology (1) 2019-07-29
  11. NEP-PUB: Public Finance (1) 2010-10-02
  12. NEP-SOC: Social Norms and Social Capital (1) 2019-07-08

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