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Chris Hand

Personal Details

First Name:Chris
Middle Name:
Last Name:Hand
Suffix:
RePEc Short-ID:pha119
http://www.kingston.ac.uk/staff/profile/dr-chris-hand-62/
Department of Strategy, Marketing and Innovation, Kingston Business School, Kingston Hill, Kingston upon Thames, Surrey, KT2 7LB,
Terminal Degree:2001 Economics and Finance Group; Portsmouth Business School; University of Portsmouth (from RePEc Genealogy)

Affiliation

Faculty of Business
Kingston University

Kingston-upon-Thames, United Kingdom
http://business.kingston.ac.uk/

: +44 (0)20 8547 2000

Kingston Hill, Kingston Upon Thames, Surrey, KT2 7LB
RePEc:edi:fbkinuk (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Collins, A. & Hand, C. & Snell, M.C., 2001. "What Makes a Blockbuster? Economic Analysis of Film Success in the United Kingdom," Papers 137, Portsmouth University - Department of Economics.
  2. Collins, A. & Hand, C., 1996. "Making a Crisis out of a Drama: Should we Continue Public Financial Support for the British Theatre?," Papers 78, Portsmouth University - Department of Economics.

Articles

  1. Abubakar, Yazid Abdullahi & Hand, Chris & Smallbone, David & Saridakis, George, 2019. "What specific modes of internationalization influence SME innovation in Sub-Saharan least developed countries (LDCs)?," Technovation, Elsevier, vol. 79(C), pages 56-70.
  2. George Saridakis & Miguel A. Mendoza Gonzalez & Rebeca I. Muñoz Torres & Chris Hand, 2019. "Do Self‐employment Rates Converge? Evidence from European OECD Countries," Journal of Common Market Studies, Wiley Blackwell, vol. 57(3), pages 551-562, May.
  3. Chris Hand, 2018. "Do the arts make you happy? A quantile regression approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 271-286, May.
  4. Harris, Patricia & Dall’Olmo Riley, Francesca & Hand, Chris, 2018. "Understanding multichannel shopper journey configuration: An application of goal theory," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 108-117.
  5. East, Robert & Uncles, Mark D. & Romaniuk, Jenni & Hand, Chris, 2014. "The decay of positive and negative word of mouth after product experience," Australasian marketing journal, Elsevier, vol. 22(4), pages 350-355.
  6. Chris Hand & Guy Judge, 2012. "Searching for the picture: forecasting UK cinema admissions using Google Trends data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1051-1055, July.
  7. Chris Hand & Guy Judge, 2011. "How stable is the seasonal pattern in cinema admissions? Evidence from the UK," Applied Economics Letters, Taylor & Francis Journals, vol. 18(1), pages 81-85.
  8. Chris Hand, 2010. "Tom O’Malley and Janet Jones (Eds): The Peacock Committee and UK broadcasting policy," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(3), pages 241-243, August.
  9. Alan Collins & Chris Hand & Maggie Linnell, 2008. "Analyzing repeat consumption of identical cultural goods: some exploratory evidence from moviegoing," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(3), pages 187-199, September.
  10. Jones, D.F. & Collins, A. & Hand, C., 2007. "A classification model based on goal programming with non-standard preference functions with application to the prediction of cinema-going behaviour," European Journal of Operational Research, Elsevier, vol. 177(1), pages 515-524, February.
  11. Chris Hand, 2006. "A Concise Handbook of Movie Industry Economics," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 30(3), pages 239-241, December.
  12. Chris Hand, 2006. "History Matters: Modelling Path Dependence on a Spreadsheet," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 18(1), pages 19-24.
  13. Chris Hand, 2005. "Simple Cellular Automata on a Spreadsheet," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 17(1), pages 9-13.
  14. Alan Collins & Chris Hand & Andrew Ryder, 2005. "The lure of the multiplex? The interplay of time, distance, and cinema attendance," Environment and Planning A, Pion Ltd, London, vol. 37(3), pages 483-501, March.
  15. Alan Collins & Chris Hand, 2005. "Analyzing moviegoing demand: an individual-level cross-sectional approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 319-330.
  16. Chris Hand, 2002. "The Distribution and Predictability of Cinema Admissions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(1), pages 53-64, February.
  17. Alan Collins & Chris Hand & Martin C. Snell, 2002. "What makes a blockbuster? Economic analysis of film success in the United Kingdom," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 343-354.
  18. Chris Hand, 2001. "Increasing returns to information: further evidence from the UK film market," Applied Economics Letters, Taylor & Francis Journals, vol. 8(6), pages 419-421.

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. Collins, A. & Hand, C. & Snell, M.C., 2001. "What Makes a Blockbuster? Economic Analysis of Film Success in the United Kingdom," Papers 137, Portsmouth University - Department of Economics.

    Cited by:

    1. Binken, J.L.G. & Stremersch, S., 2008. "The Effect of Superstar Software on Hardware Sales in System Markets," ERIM Report Series Research in Management ERS-2008-025-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Jordi McKenzie, 2010. "How do theatrical box office revenues affect DVD retail sales? Australian empirical evidence," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(3), pages 159-179, August.
    3. Ana Suárez-Vázquez, 2011. "Critic power or star power? The influence of hallmarks of quality of motion pictures: an experimental approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 119-135, May.
    4. Alan Collins & Chris Hand, 2005. "Analyzing moviegoing demand: an individual-level cross-sectional approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 319-330.
    5. Fei Peng & Lili Kang & Sajid Anwar & Xue Li, 2019. "Star power and box office revenues: evidence from China," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 247-278, June.
    6. Caroline Elliott & Rob Simmons, 2008. "Determinants of UK Box Office Success: The Impact of Quality Signals," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 33(2), pages 93-111, September.
    7. Ana Suárez-Vázquez & José Quevedo, 2015. "Analyzing superstars’ power using support vector machines," Empirical Economics, Springer, vol. 49(4), pages 1521-1542, December.
    8. Randy Nelson & Robert Glotfelty, 2012. "Movie stars and box office revenues: an empirical analysis," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 141-166, May.
    9. Jordi McKenzie, 2010. "Do 'African American' films perform better or worse at the box office? An empirical analysis of motion picture revenues and profits," Applied Economics Letters, Taylor & Francis Journals, vol. 17(16), pages 1559-1564.
    10. Christoph Engel & Michael Kurschilgen, 2010. "Fairness Ex Ante & Ex Post – An Experimental Test of the German “Bestseller Paragraph”," Discussion Paper Series of the Max Planck Institute for Research on Collective Goods 2010_29, Max Planck Institute for Research on Collective Goods, revised Nov 2010.
    11. Rustam Ibragimov & Johan Walden, 2010. "Optimal Bundling Strategies Under Heavy-Tailed Valuations," Management Science, INFORMS, vol. 56(11), pages 1963-1976, November.
    12. Iain Pardoe & Dean K. Simonton, 2008. "Applying discrete choice models to predict Academy Award winners," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(2), pages 375-394, April.
    13. Jordi McKenzie, 2009. "Revealed word-of-mouth demand and adaptive supply: survival of motion pictures at the Australian box office," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(4), pages 279-299, November.
    14. Jehoshua Eliashberg & Anita Elberse & Mark A.A.M. Leenders, 2006. "The Motion Picture Industry: Critical Issues in Practice, Current Research, and New Research Directions," Marketing Science, INFORMS, vol. 25(6), pages 638-661, 11-12.
    15. Wen-jhan Jane & Wei-peng Chen & Yuan-lin Hsu, 2015. "The impact of deregulation on the movie box office after Taiwan’s entry into the WTO: the difference-in-differences estimation," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 289-308, December.
    16. Hofmann, Julian & Clement, Michel & Völckner, Franziska & Hennig-Thurau, Thorsten, 2017. "Empirical generalizations on the impact of stars on the economic success of movies," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 442-461.
    17. C F Elliott & R Simmons, 2007. "Determinants of UK box office success: the impact of quality signals," Working Papers 584026, Lancaster University Management School, Economics Department.
    18. Frederick Derrick & Nancy Williams & Charles Scott, 2014. "A two-stage proxy variable approach to estimating movie box office receipts," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(2), pages 173-189, May.
    19. Moez Hababou & Nawel Amrouche & Kamel Jedidi, 2016. "Measuring Economic Efficiency in the Motion Picture Industry: a Data Envelopment Analysis Approach," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 3(3), pages 144-158, December.
    20. Natalia Gmerek, 2015. "The determinants of Polish movies’ box office performance in Poland," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 1(1), pages 15-35.
    21. Thorsten Hennig-Thurau & André Marchand & Barbara Hiller, 2012. "The relationship between reviewer judgments and motion picture success: re-analysis and extension," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(3), pages 249-283, August.
    22. A. Sisto & R. Zanola, 2010. "Cinema attendance in Europe," Applied Economics Letters, Taylor & Francis Journals, vol. 17(5), pages 515-517.
    23. Allègre Hadida, 2010. "Commercial success and artistic recognition of motion picture projects," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(1), pages 45-80, February.

Articles

  1. Chris Hand, 2018. "Do the arts make you happy? A quantile regression approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(2), pages 271-286, May.

    Cited by:

    1. Francesco Angelini & Massimiliano Castellani, 2019. "Cultural and economic value: a critical review," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(2), pages 173-188, June.
    2. Katharina E. Hofer, 2019. "Estimating preferences for the performing arts from referendum votes," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(3), pages 397-419, September.
    3. Lahsen, Amina. A & Piper, Alan T., 2018. "Property Rights and Intellectual Property Protection, GDP growth and Well-Being in Latin America," MPRA Paper 90034, University Library of Munich, Germany.
    4. Daniel Wheatley & Craig Bickerton, 2019. "Measuring changes in subjective well-being from engagement in the arts, culture and sport," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 43(3), pages 421-442, September.

  2. Harris, Patricia & Dall’Olmo Riley, Francesca & Hand, Chris, 2018. "Understanding multichannel shopper journey configuration: An application of goal theory," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 108-117.

    Cited by:

    1. Park, Joonyong & Kim, Renee B., 2018. "A new approach to segmenting multichannel shoppers in Korea and the U.S," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 163-178.
    2. Frasquet, Marta & Ieva, Marco & Ziliani, Cristina, 2019. "Understanding complaint channel usage in multichannel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 47(C), pages 94-103.
    3. Kaatz, Christopher & Brock, Christian & Figura, Lilli, 2019. "Are you still online or are you already mobile? – Predicting the path to successful conversions across different devices," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 10-21.

  3. Chris Hand & Guy Judge, 2012. "Searching for the picture: forecasting UK cinema admissions using Google Trends data," Applied Economics Letters, Taylor & Francis Journals, vol. 19(11), pages 1051-1055, July.

    Cited by:

    1. Cruz-Suarez, Ana & Prado-Román, Alberto & Prado-Román, Miguel, 2014. "Legitimidade cognitiva, acesso aos recursos e resultados organizacionais," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 54(5), September.
    2. Aaron Yelowitz & Matthew Wilson, 2015. "Characteristics of Bitcoin users: an analysis of Google search data," Applied Economics Letters, Taylor & Francis Journals, vol. 22(13), pages 1030-1036, September.
    3. Yang, Xin & Pan, Bing & Evans, James A. & Lv, Benfu, 2015. "Forecasting Chinese tourist volume with search engine data," Tourism Management, Elsevier, vol. 46(C), pages 386-397.
    4. Schaer, Oliver & Kourentzes, Nikolaos & Fildes, Robert, 2019. "Demand forecasting with user-generated online information," International Journal of Forecasting, Elsevier, vol. 35(1), pages 197-212.
    5. Stephen L. France & Yuying Shi, 2017. "Aggregating Google Trends: Multivariate Testing and Analysis," Papers 1712.03152, arXiv.org, revised Mar 2018.
    6. Palma Lampreia Dos Santos, Maria José, 2018. "Nowcasting and forecasting aquaponics by Google Trends in European countries," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 178-185.
    7. Marshall, Pablo & Dockendorff, Monika & Ibáñez, Soledad, 2013. "A forecasting system for movie attendance," Journal of Business Research, Elsevier, vol. 66(10), pages 1800-1806.
    8. Victoria M. Ateca-Amestoy & Juan Prieto-Rodriguez, 2012. "Forecasting accuracy of behavioural models for participation in the arts," ACEI Working Paper Series AWP-01-2012, Association for Cultural Economics International, revised Feb 2012.
    9. Emmanuel Sirimal Silva & Hossein Hassani & Dag Øivind Madsen & Liz Gee, 2019. "Googling Fashion: Forecasting Fashion Consumer Behaviour Using Google Trends," Social Sciences, MDPI, Open Access Journal, vol. 8(4), pages 1-23, April.
    10. Ikhoon, Jang & Young Chan, Choe, 2016. "Forecasting Agri-food Consumption Using the Keyword Volume Index from Search Engine Data," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236124, Agricultural and Applied Economics Association.
    11. Blazquez, Desamparados & Domenech, Josep, 2018. "Big Data sources and methods for social and economic analyses," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 99-113.
    12. Kim, Ho & Hanssens, Dominique M., 2017. "Advertising and Word-of-Mouth Effects on Pre-launch Consumer Interest and Initial Sales of Experience Products," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 57-74.
    13. Boone, Tonya & Ganeshan, Ram & Jain, Aditya & Sanders, Nada R., 2019. "Forecasting sales in the supply chain: Consumer analytics in the big data era," International Journal of Forecasting, Elsevier, vol. 35(1), pages 170-180.
    14. Eksi, Ozan & Gurdal, Mehmet Y. & Orman, Cuneyt, 2017. "Fines versus prison for the issuance of bad checks: Evidence from a policy shift in Turkey," Journal of Economic Behavior & Organization, Elsevier, vol. 143(C), pages 9-27.

  4. Chris Hand & Guy Judge, 2011. "How stable is the seasonal pattern in cinema admissions? Evidence from the UK," Applied Economics Letters, Taylor & Francis Journals, vol. 18(1), pages 81-85.

    Cited by:

    1. Belleflamme, P. & Paolini, D., 2015. "Strategic Promotion and Release Decisions for Cultural Goods," CORE Discussion Papers 2015037, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  5. Alan Collins & Chris Hand & Maggie Linnell, 2008. "Analyzing repeat consumption of identical cultural goods: some exploratory evidence from moviegoing," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(3), pages 187-199, September.

    Cited by:

  6. Jones, D.F. & Collins, A. & Hand, C., 2007. "A classification model based on goal programming with non-standard preference functions with application to the prediction of cinema-going behaviour," European Journal of Operational Research, Elsevier, vol. 177(1), pages 515-524, February.

    Cited by:

    1. Cinzia Colapinto & Raja Jayaraman & Simone Marsiglio, 2017. "Multi-criteria decision analysis with goal programming in engineering, management and social sciences: a state-of-the art review," Annals of Operations Research, Springer, vol. 251(1), pages 7-40, April.
    2. Jones, Dylan & Jimenez, Mariano, 2013. "Incorporating additional meta-objectives into the extended lexicographic goal programming framework," European Journal of Operational Research, Elsevier, vol. 227(2), pages 343-349.
    3. Corne, David & Dhaenens, Clarisse & Jourdan, Laetitia, 2012. "Synergies between operations research and data mining: The emerging use of multi-objective approaches," European Journal of Operational Research, Elsevier, vol. 221(3), pages 469-479.
    4. Jones, Dylan, 2011. "A practical weight sensitivity algorithm for goal and multiple objective programming," European Journal of Operational Research, Elsevier, vol. 213(1), pages 238-245, August.
    5. Victoria M. Ateca-Amestoy & Juan Prieto-Rodriguez, 2012. "Forecasting accuracy of behavioural models for participation in the arts," ACEI Working Paper Series AWP-01-2012, Association for Cultural Economics International, revised Feb 2012.

  7. Chris Hand, 2006. "History Matters: Modelling Path Dependence on a Spreadsheet," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 18(1), pages 19-24.

    Cited by:

    1. Tanner, Andrew M. & Johnston, Alison L., 2017. "The Impact of Rural Electric Access on Deforestation Rates," World Development, Elsevier, vol. 94(C), pages 174-185.

  8. Chris Hand, 2005. "Simple Cellular Automata on a Spreadsheet," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 17(1), pages 9-13.

    Cited by:

    1. Caroline Bayr & Miriam Steurer & Rose-Gerd Koboltschnig, 2013. "Scenario Planning for Cities using Cellular Automata Models: A Case Study," Graz Economics Papers 2013-06, University of Graz, Department of Economics.

  9. Alan Collins & Chris Hand & Andrew Ryder, 2005. "The lure of the multiplex? The interplay of time, distance, and cinema attendance," Environment and Planning A, Pion Ltd, London, vol. 37(3), pages 483-501, March.

    Cited by:

    1. Manuel CUADRADO-GARCIA & Nela FILIMON & Juan D. MONTORO-PONS, 2018. "Picturing Spanish Filmgoers: Motives, Barriers And Film Theatres," Regional Science Inquiry, Hellenic Association of Regional Scientists, vol. 0(2), pages 45-60, July.
    2. Ana Suárez-Vázquez, 2011. "Critic power or star power? The influence of hallmarks of quality of motion pictures: an experimental approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 119-135, May.
    3. A. Collins & A. E. Scorcu & R. Zanola, 2008. "Distribution Conventionality in the Movie Sector: An Econometric Analysis of Cinema Supply," Working Papers 639, Dipartimento Scienze Economiche, Universita' di Bologna.
    4. Sheresheva Marina & Alexander Luzhin & Julia Trifonova, 2015. "Cinema chains in Russia," Working Papers 0021, Moscow State University, Faculty of Economics.
    5. Victoria M. Ateca-Amestoy & Juan Prieto-Rodriguez, 2012. "Forecasting accuracy of behavioural models for participation in the arts," ACEI Working Paper Series AWP-01-2012, Association for Cultural Economics International, revised Feb 2012.
    6. Arie Romein & Kees Maat, 2013. "Spatial Organisation of Consumer Services in the Polycentric Urban Context: A Travel Behaviour Approach of Cinema-Going in the City-Region of Rotterdam," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 104(4), pages 491-509, September.

  10. Alan Collins & Chris Hand, 2005. "Analyzing moviegoing demand: an individual-level cross-sectional approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 26(5), pages 319-330.

    Cited by:

    1. Ricard Gil & Fernanda Gutierrez-Navratil, 2017. "Does Television Entry Decrease The Number Of Movie Theaters?," Economic Inquiry, Western Economic Association International, vol. 55(2), pages 736-756, April.
    2. Ana Suárez-Vázquez, 2011. "Critic power or star power? The influence of hallmarks of quality of motion pictures: an experimental approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(2), pages 119-135, May.
    3. Alan Collins & Chris Hand & Maggie Linnell, 2008. "Analyzing repeat consumption of identical cultural goods: some exploratory evidence from moviegoing," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(3), pages 187-199, September.
    4. Mark Fox & Grant Black, 2011. "The Rise and Decline of Drive-in Cinemas in the United States," Chapters, in: Samuel Cameron (ed.), Handbook on the Economics of Leisure, chapter 14, Edward Elgar Publishing.
    5. M. Rimscha, 2013. "It’s not the economy, stupid! External effects on the supply and demand of cinema entertainment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 433-455, November.
    6. Drevs, Florian, 2013. "The Challenge of the Unknown – The Effect of Pay-What-You-Want on the Market Success of Publicly Subsidized Films," ZögU - Zeitschrift für öffentliche und gemeinwirtschaftliche Unternehmen, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 36(4), pages 255-270.
    7. Chakravarty, Anindita & Liu, Yong & Mazumdar, Tridib, 2010. "The Differential Effects of Online Word-of-Mouth and Critics' Reviews on Pre-release Movie Evaluation," Journal of Interactive Marketing, Elsevier, vol. 24(3), pages 185-197.
    8. Ana Suarez-Vazquez & Elena Montañés-Roces, 2017. "Superstars Power, Mining the Paths to Stars’ Persuasion," Computational Economics, Springer;Society for Computational Economics, vol. 49(1), pages 67-81, January.

  11. Chris Hand, 2002. "The Distribution and Predictability of Cinema Admissions," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 26(1), pages 53-64, February.

    Cited by:

    1. Alexis Dantec & Florence Levy, 2005. "Stars et box office : un état des approches théoriques et empiriques," Documents de Travail de l'OFCE 2005-13, Observatoire Francais des Conjonctures Economiques (OFCE).
    2. W David Walls, 2004. "Modeling movie success when "nobody knows anything": Conditional stable distribution analysis of film returns," Econometric Society 2004 Far Eastern Meetings 409, Econometric Society.
    3. Gaenssle, Sophia & Budzinski, Oliver & Astakhova, Daria, 2018. "Conquering the box office: Factors influencing success of international movies in Russia," Ilmenau Economics Discussion Papers 113, Ilmenau University of Technology, Institute of Economics.
    4. Zanola, Roberto, 2007. "Major influences on circus attendance," POLIS Working Papers 89, Institute of Public Policy and Public Choice - POLIS.
    5. M. Rimscha, 2013. "It’s not the economy, stupid! External effects on the supply and demand of cinema entertainment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 433-455, November.
    6. Victor Fernandez-Blanco & Luis Orea & Juan Prieto-Rodriguez, 2013. "Endogeneity and measurement errors when estimating demand functions with average prices: an example from the movie market," Empirical Economics, Springer, vol. 44(3), pages 1477-1496, June.
    7. Juan Prieto-Rodriguez & Fernanda Gutierrez-Navratil & Victoria Ateca-Amestoy, 2015. "Theatre allocation as a distributor’s strategic variable over movie runs," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 39(1), pages 65-83, February.
    8. Ralf Dewenter & Michael Westermann, 2005. "Cinema Demand In Germany," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 29(3), pages 213-231, August.
    9. Marshall, Pablo & Dockendorff, Monika & Ibáñez, Soledad, 2013. "A forecasting system for movie attendance," Journal of Business Research, Elsevier, vol. 66(10), pages 1800-1806.
    10. Kaimann, Daniel & Pannicke, Julia, 2015. "Movie success in a genre specific contest: Evidence from the US film industry," Ilmenau Economics Discussion Papers 98, Ilmenau University of Technology, Institute of Economics.

  12. Alan Collins & Chris Hand & Martin C. Snell, 2002. "What makes a blockbuster? Economic analysis of film success in the United Kingdom," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 23(6), pages 343-354.
    See citations under working paper version above.
  13. Chris Hand, 2001. "Increasing returns to information: further evidence from the UK film market," Applied Economics Letters, Taylor & Francis Journals, vol. 8(6), pages 419-421.

    Cited by:

    1. Jordi McKenzie, 2010. "How do theatrical box office revenues affect DVD retail sales? Australian empirical evidence," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 34(3), pages 159-179, August.
    2. Jordi McKenzie, 2010. "Movie producers and the statistical distribution of achievement," Applied Economics Letters, Taylor & Francis Journals, vol. 17(17), pages 1657-1661.
    3. David Maddison, 2004. "Increasing returns to information and the survival of broadway theatre productions," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 639-643.
    4. David Giles, 2007. "Increasing returns to information in the US popular music industry," Applied Economics Letters, Taylor & Francis Journals, vol. 14(5), pages 327-331.
    5. JORDI McKENZIE, 2009. "Illegal Music Downloading And Its Impact On Legitimate Sales: Australian Empirical Evidence," Australian Economic Papers, Wiley Blackwell, vol. 48(4), pages 296-307, December.
    6. W. D. Walls, 2005. "Modelling heavy tails and skewness in film returns," Applied Financial Economics, Taylor & Francis Journals, vol. 15(17), pages 1181-1188.
    7. M. Rimscha, 2013. "It’s not the economy, stupid! External effects on the supply and demand of cinema entertainment," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 37(4), pages 433-455, November.
    8. Caroline Elliott & Rob Simmons, 2011. "Factors determining UK album success," Applied Economics, Taylor & Francis Journals, vol. 43(30), pages 4699-4705.
    9. Jordi McKenzie, 2010. "Do 'African American' films perform better or worse at the box office? An empirical analysis of motion picture revenues and profits," Applied Economics Letters, Taylor & Francis Journals, vol. 17(16), pages 1559-1564.
    10. Richard S.J. Tol, 2009. "The Matthew effect defined and tested for the 100 most prolific economists," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(2), pages 420-426, February.
    11. Arthur Vany & W. Walls, 2007. "Estimating the Effects of Movie Piracy on Box-office Revenue," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 30(4), pages 291-301, June.
    12. Jordi McKenzie, 2009. "Revealed word-of-mouth demand and adaptive supply: survival of motion pictures at the Australian box office," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 33(4), pages 279-299, November.
    13. Wen-jhan Jane & Wei-peng Chen & Yuan-lin Hsu, 2015. "The impact of deregulation on the movie box office after Taiwan’s entry into the WTO: the difference-in-differences estimation," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 289-308, December.
    14. Sacit Hadi Akdede & Ayla Ogus, 2006. "Increasing returns to information and the survival of Turkish public theatre plays," Applied Economics Letters, Taylor & Francis Journals, vol. 13(12), pages 785-788.
    15. W. D. Walls, "undated". "Superstars and heavy tails in recorded entertainment: Empirical analysis of the market for DVDs," Working Papers 2014-50, Department of Economics, University of Calgary, revised 23 Sep 2014.
    16. W. D. Walls, "undated". "The market for motion pictures in Thailand: Rank, revenue, and survival at the box office," Working Papers 2014-54, Department of Economics, University of Calgary, revised 23 Sep 2014.
    17. Natalia Gmerek, 2015. "The determinants of Polish movies’ box office performance in Poland," Journal of Marketing and Consumer Behaviour in Emerging Markets, University of Warsaw, Faculty of Management, vol. 1(1), pages 15-35.

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Corrections

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To update listings or check citations waiting for approval, Chris Hand 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 hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.