IDEAS home Printed from https://ideas.repec.org/e/pra31.html
   My authors  Follow this author

Srinivas Raghavendra

Personal Details

First Name:Srinivas
Middle Name:
Last Name:Raghavendra
Suffix:
RePEc Short-ID:pra31
http://www.economics.nuig.ie/personnel/peoplepage.php?person_id=20
Department of Economics J. E. Cairnes School of Business and Economics National University of Ireland Galway Galway Ireland
00353-91-495025

Affiliation

Department of Economics
National University of Ireland

Galway, Ireland
http://economics.nuigalway.ie/
RePEc:edi:deucgie (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Srinivas Raghavendra & Petri T. Piiroinen, 2019. "Conflict as a closure: A Kaleckian model of growth and distribution under financialization," ICAE Working Papers 96, Johannes Kepler University, Institute for Comprehensive Analysis of the Economy.
  2. Srinivas Raghavendra & Kijong Kim & Sinead Ashe & Mrinal Chadha & Felix Asante & Petri T. Piiroinen & Nata Duvvury, 2019. "The Macroeconomic Loss Due to Violence against Women and Girls: The Case of Ghana," Economics Working Paper Archive wp_939, Levy Economics Institute.
  3. Kitty Moloney & Srinivas Raghavendra, 2010. "Quantitative Risk Estimation in the Credit Default Swap Market using Exteme Value Theory," Working Papers 0158, National University of Ireland Galway, Department of Economics, revised 2010.
  4. Srinivas Raghavendra & Petri T. Piiroinen, 2009. "A Reconsideration of Samuelson’s Multiplier-Accelerator Model," Working Papers 0149, National University of Ireland Galway, Department of Economics, revised 2009.
  5. Srinivas Raghavendra & Daniel Paraschiv, 2008. "A Framework for Testing Algorithmic Trading Strategies," Working Papers 0139, National University of Ireland Galway, Department of Economics, revised 2008.
  6. Srinivas Raghavendra, 2006. "Decomposition Methods in Analyzing Intra-regional and Inter-regional Income Distribution," Working Papers 108, National University of Ireland Galway, Department of Economics, revised 2006.
  7. Srinivas Raghavendra, 2005. "Limits to Exhilarationism: Revisiting Kaldorian Dynamics," Working Papers 0099, National University of Ireland Galway, Department of Economics, revised 2005.
  8. Sitabhra Sinha & S. Raghavendra, 2004. "Hollywood blockbusters and long-tailed distributions: An empirical study of the popularity of movies," Industrial Organization 0406008, University Library of Munich, Germany.
  9. Raghavendra.S, 2003. "Effective Demand and Income Distribution under Increasing Returns Regime," Macroeconomics 0307006, University Library of Munich, Germany.

Articles

  1. Amit Bhaduri & Srinivas Raghavendra, 2017. "Wage- and profit-led regimes under modern finance: an exploration," Review of Keynesian Economics, Edward Elgar Publishing, vol. 5(3), pages 426-438, July.
  2. Vishwesha Guttal & Srinivas Raghavendra & Nikunj Goel & Quentin Hoarau, 2016. "Lack of Critical Slowing Down Suggests that Financial Meltdowns Are Not Critical Transitions, yet Rising Variability Could Signal Systemic Risk," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-20, January.
  3. Amit Bhaduri & Srinivas Raghavendra & Vishwesha Guttal, 2015. "On the Systemic Fragility of Finance-Led Growth," Metroeconomica, Wiley Blackwell, vol. 66(1), pages 158-186, February.
  4. Srinivas Raghavendra, 2006. "Limits to Investment Exhilarationism," Journal of Economics, Springer, vol. 87(3), pages 257-280, April.
  5. S. Sinha & S. Raghavendra, 2004. "Hollywood blockbusters and long-tailed distributions," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 42(2), pages 293-296, November.

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. Srinivas Raghavendra & Kijong Kim & Sinead Ashe & Mrinal Chadha & Felix Asante & Petri T. Piiroinen & Nata Duvvury, 2019. "The Macroeconomic Loss Due to Violence against Women and Girls: The Case of Ghana," Economics Working Paper Archive wp_939, Levy Economics Institute.

    Cited by:

    1. Ekhator-Mobayode,Uche Eseosa & Hanmer,Lucia C. & Rubiano Matulevich,Eliana Carolina & Arango,Diana Jimena, 2020. "Effect of Armed Conflict on Intimate Partner Violence : Evidence from the Boko Haram Insurgency in Nigeria," Policy Research Working Paper Series 9168, The World Bank.
    2. Donati,Dante & Orozco Olvera,Victor Hugo & Rao,Nandan Mark, 2022. "Using Social Media to Change Gender Norms : An Experiment within Facebook Messenger in India," Policy Research Working Paper Series 10199, The World Bank.

  2. Sitabhra Sinha & S. Raghavendra, 2004. "Hollywood blockbusters and long-tailed distributions: An empirical study of the popularity of movies," Industrial Organization 0406008, University Library of Munich, Germany.

    Cited by:

    1. Chakrabarti, Anindya S., 2016. "Cross-correlation patterns in social opinion formation with sequential data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 442-454.
    2. Márton Mestyán & Taha Yasseri & János Kertész, 2013. "Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-8, August.

Articles

  1. Amit Bhaduri & Srinivas Raghavendra, 2017. "Wage- and profit-led regimes under modern finance: an exploration," Review of Keynesian Economics, Edward Elgar Publishing, vol. 5(3), pages 426-438, July.

    Cited by:

    1. Piacentini, P.M., 2021. "Minsky after Kalecki: real profits and financial structure," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 416-426.

  2. Vishwesha Guttal & Srinivas Raghavendra & Nikunj Goel & Quentin Hoarau, 2016. "Lack of Critical Slowing Down Suggests that Financial Meltdowns Are Not Critical Transitions, yet Rising Variability Could Signal Systemic Risk," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-20, January.

    Cited by:

    1. Syed Mohamad Sadiq Syed Musa & Mohd Salmi Md Noorani & Fatimah Abdul Razak & Munira Ismail & Mohd Almie Alias & Saiful Izzuan Hussain, 2020. "An Early Warning System for Flood Detection Using Critical Slowing Down," IJERPH, MDPI, vol. 17(17), pages 1-13, August.
    2. Qun Zhang & Qunzhi Zhang & Didier Sornette, 2016. "Early Warning Signals of Financial Crises with Multi-Scale Quantile Regressions of Log-Periodic Power Law Singularities," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-43, November.
    3. Marian Gidea & Yuri Katz, 2017. "Topological Data Analysis of Financial Time Series: Landscapes of Crashes," Papers 1703.04385, arXiv.org, revised Apr 2017.
    4. M., Krishnadas & Harikrishnan, K.P. & Ambika, G., 2022. "Recurrence measures and transitions in stock market dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 608(P1).
    5. Wu, Anshun & Dong, Yang & Luo, Yuhui & Zeng, Chunhua, 2020. "Fluctuations-induced regime shifts in the Endogenous Credit system with time delay," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    6. Cees Diks & Cars Hommes & Juanxi Wang, 2019. "Critical slowing down as an early warning signal for financial crises?," Empirical Economics, Springer, vol. 57(4), pages 1201-1228, October.
    7. Krishnadas M. & K. P. Harikrishnan & G. Ambika, 2022. "Recurrence measures and transitions in stock market dynamics," Papers 2208.03456, arXiv.org.
    8. Nils Bertschinger & Oliver Pfante, 2020. "Early Warning Signs of Financial Market Turmoils," JRFM, MDPI, vol. 13(12), pages 1-24, November.
    9. Ismail, Mohd Sabri & Noorani, Mohd Salmi Md & Ismail, Munira & Razak, Fatimah Abdul & Alias, Mohd Almie, 2022. "Early warning signals of financial crises using persistent homology," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    10. Katz, Yuri A. & Biem, Alain, 2021. "Time-resolved topological data analysis of market instabilities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 571(C).
    11. Haoyu Wen & Massimo Pica Ciamarra & Siew Ann Cheong, 2018. "How one might miss early warning signals of critical transitions in time series data: A systematic study of two major currency pairs," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-22, March.

  3. Amit Bhaduri & Srinivas Raghavendra & Vishwesha Guttal, 2015. "On the Systemic Fragility of Finance-Led Growth," Metroeconomica, Wiley Blackwell, vol. 66(1), pages 158-186, February.

    Cited by:

    1. Botta, Alberto & Caverzasi, Eugenio & Tori, Daniele, 2020. "The Macroeconomics Of Shadow Banking," Macroeconomic Dynamics, Cambridge University Press, vol. 24(1), pages 161-190, January.
    2. Mazzocchetti, Andrea & Lauretta, Eliana & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2018. "Systemic Financial Risk Indicators and Securitised Assets: an Agent-Based Framework," MPRA Paper 89779, University Library of Munich, Germany.
    3. Eckhard Hein, 2017. "Post-Keynesian macroeconomics since the mid 1990s: main developments," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 14(2), pages 131-172, September.
    4. Vishwesha Guttal & Srinivas Raghavendra & Nikunj Goel & Quentin Hoarau, 2016. "Lack of Critical Slowing Down Suggests that Financial Meltdowns Are Not Critical Transitions, yet Rising Variability Could Signal Systemic Risk," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-20, January.
    5. Mazzocchetti, Andrea & Raberto, Marco & Teglio, Andrea & Cincotti, Silvano, 2017. "Securitisation and Business Cycle: An Agent-Based Perspective," MPRA Paper 76760, University Library of Munich, Germany.

  4. Srinivas Raghavendra, 2006. "Limits to Investment Exhilarationism," Journal of Economics, Springer, vol. 87(3), pages 257-280, April.

    Cited by:

    1. Sasaki, Hiroaki & Matsuyama, Jun & Sako, Kazumitsu, 2013. "The macroeconomic effects of the wage gap between regular and non-regular employment and of minimum wages," Structural Change and Economic Dynamics, Elsevier, vol. 26(C), pages 61-72.
    2. Jong-seok Oh, 2023. "Stabilizing the Macroeconomy with Labor Market Policies," Korean Economic Review, Korean Economic Association, vol. 39, pages 205-240.
    3. Hiroaki Sasaki, 2008. "Endogenous Technological Change and Distribution with Inter-Class Conflict: A Kaleckian Model of Growth," TERG Discussion Papers 237, Graduate School of Economics and Management, Tohoku University.
    4. Ryunosuke Sonoda & Hiroaki Sasaki, 2015. "Differences in Wage-Determination Systems between Regular and Non-Regular Employment in a Kaleckian Model," Discussion papers e-14-018, Graduate School of Economics Project Center, Kyoto University.
    5. Hiroshi Nishi & Engelbert Stockhammer, 2020. "Cyclical dynamics in a Kaleckian model with demand and distribution regimes and endogenous natural output," Metroeconomica, Wiley Blackwell, vol. 71(1), pages 256-288, February.
    6. Hiroaki Sasaki, 2013. "Cyclical growth in a Goodwin–Kalecki–Marx model," Journal of Economics, Springer, vol. 108(2), pages 145-171, March.
    7. Eckhard Hein, 2017. "Post-Keynesian macroeconomics since the mid 1990s: main developments," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 14(2), pages 131-172, September.
    8. Sasaki, Hiroaki, 2013. "Profit Sharing and its Effect on Income Distribution and Output: A Kaleckian Approach," CCES Discussion Paper Series 50, Center for Research on Contemporary Economic Systems, Graduate School of Economics, Hitotsubashi University.
    9. Betül Mutlugün, 2022. "Endogenous income distribution and aggregate demand: Empirical evidence from heterogeneous panel structural vector autoregression," Metroeconomica, Wiley Blackwell, vol. 73(2), pages 583-637, May.

  5. S. Sinha & S. Raghavendra, 2004. "Hollywood blockbusters and long-tailed distributions," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 42(2), pages 293-296, November.

    Cited by:

    1. Ishii, Akira & Sakaidani, Shota & Iwanaga, Saori, 2016. "Possilibity of estimating payoff matrix from model for hit phenomena," Chaos, Solitons & Fractals, Elsevier, vol. 90(C), pages 72-80.
    2. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2001. "Microscopic Models of Financial Markets," Papers cond-mat/0110354, arXiv.org.
    3. E. Samanidou & E. Zschischang & D. Stauffer & T. Lux, 2007. "Agent-based Models of Financial Markets," Papers physics/0701140, arXiv.org.

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 2 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-HME: Heterodox Microeconomics (2) 2019-07-15 2019-10-28
  2. NEP-PKE: Post Keynesian Economics (2) 2019-07-15 2019-10-28
  3. NEP-FDG: Financial Development and Growth (1) 2019-07-15
  4. NEP-MAC: Macroeconomics (1) 2019-10-28

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Srinivas Raghavendra should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.