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Bryan Leslie Boulier

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. Kevin Kovacs & Bryan Boulier & Herman O. Stekler, 2016. "Nowcasting German Turning Points Using CUSUM Analysis," Working Papers 2016-014, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Heilemann Ullrich & Schnorr-Bäcker Susanne, 2017. "Could the start of the German recession 2008–2009 have been foreseen? Evidence from Real-Time Data," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(1), pages 29-62, February.

  2. Bryan L. Boulier & Herman O. Stekler & Jason Coburn & Timothy Rankins, 2009. "Evaluating National Football League Draft Choices: The Passing Game," Working Papers 2009-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Niven Winchester & J. Dean Craig, 2020. "Predicting the National Football League potential of college quarterbacks," Working Papers 2020-11, Auckland University of Technology, Department of Economics.
    2. Dennis Coates & Babatunde Oguntimein, 2010. "The Length and Success of NBA Careers: Does College Production Predict Professional Outcomes?," International Journal of Sport Finance, Fitness Information Technology, vol. 5(1), pages 4-26, February.
    3. W. David Allen, 2015. "The Demand for Younger and Older Workers," Journal of Sports Economics, , vol. 16(2), pages 127-158, February.
    4. Böheim, René & Lackner, Mario, 2012. "Returns to education in professional football," Economics Letters, Elsevier, vol. 114(3), pages 326-328.
    5. Geoffrey N Tuck & Shane A Richards, 2019. "Risk equivalence as an alternative to balancing mean value when trading draft selections and players in major sporting leagues," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-15, May.
    6. Kendall Weir & Stephen Wu, 2014. "Criminal Records and the Labor Market for Professional Athletes," Journal of Sports Economics, , vol. 15(6), pages 617-635, December.

  3. ChiUng Song & Bryan L. Boulier & Herman O. Stekler, 2008. "Measuring Consensus in Binary Forecasts: NFL Game Predictions," Working Papers 2008-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Leitner, Christoph & Zeileis, Achim & Hornik, Kurt, 2010. "Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EUROÂ 2008," International Journal of Forecasting, Elsevier, vol. 26(3), pages 471-481, July.

  4. Bryan L. Boulier, 1976. "Children and Household Economic Activity in Laguna Philippines," UP School of Economics Discussion Papers 197619, University of the Philippines School of Economics.

    Cited by:

    1. Dessing, Maryke, 2002. "Labor supply, the family and poverty: the S-shaped labor supply curve," Journal of Economic Behavior & Organization, Elsevier, vol. 49(4), pages 433-458, December.
    2. Peter H. Lindert, 1980. "Child Costs and Economic Development," NBER Chapters, in: Population and Economic Change in Developing Countries, pages 5-80, National Bureau of Economic Research, Inc.
    3. Oppong, Christine., 1982. "Maternal role rewards, opportunity costs and fertility," ILO Working Papers 992204053402676, International Labour Organization.

Articles

  1. Kovacs Kevin & Boulier Bryan & Stekler Herman, 2017. "Nowcasting: Identifying German Cyclical Turning Points," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(4), pages 329-341, August.

    Cited by:

    1. Ines Fortin & Sebastian P. Koch & Klaus Weyerstrass, 2020. "Evaluation of economic forecasts for Austria," Empirical Economics, Springer, vol. 58(1), pages 107-137, January.

  2. Boulier, Bryan L. & Stekler, H.O. & Coburn, Jason & Rankins, Timothy, 2010. "Evaluating National Football League draft choices: The passing game," International Journal of Forecasting, Elsevier, vol. 26(3), pages 589-605, July.
    See citations under working paper version above.
  3. Song, ChiUng & Boulier, Bryan L. & Stekler, Herman O., 2009. "Measuring consensus in binary forecasts: NFL game predictions," International Journal of Forecasting, Elsevier, vol. 25(1), pages 182-191.
    See citations under working paper version above.
  4. Boulier Bryan L. & Datta Tejwant S. & Goldfarb Robert S, 2007. "Vaccination Externalities," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 7(1), pages 1-27, May.

    Cited by:

    1. Forslid, Rikard & Herzing, Mathias, 2008. "On the Optimal Production Capacity for Influenza Vaccine," CEPR Discussion Papers 6808, C.E.P.R. Discussion Papers.
    2. Galeotti, Andrea & W. Rogers, Brian, 2012. "Strategic immunization and group structure," ISER Working Paper Series 2012-16, Institute for Social and Economic Research.
    3. Xinyan Shi, 2013. "Information disclosure and vaccination externalities," International Journal of Economic Theory, The International Society for Economic Theory, vol. 9(3), pages 229-243, September.
    4. Westerink-Duijzer, L.E. & van Jaarsveld, W.L. & Wallinga, J. & Dekker, R., 2015. "Dose-optimal vaccine allocation over multiple populations," Econometric Institute Research Papers EI2015-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Goodkin-Gold, Matthew & Kremer, Michael & Snyder, Christopher M. & Williams, Heidi, 2022. "Optimal vaccine subsidies for endemic diseases," International Journal of Industrial Organization, Elsevier, vol. 84(C).
    6. Troy Tassier & Philip Polgreen & Alberto Segre, 2017. "Network position and health care worker infections," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 12(2), pages 277-307, July.
    7. Olivier Chanel & Stephane Luchini & Sébastien Massoni & Jean-Christophe Vergnaud, 2010. "Impact of information on intentions to vaccinate in a potential epidemic: swine-origin Influenza A (H1N1)," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00543967, HAL.
    8. Ibuka, Yoko & Bessho, Shun-ichiro, 2015. "Subsidies for influenza vaccination, vaccination rates, and health outcomes among the elderly in Japan," Japan and the World Economy, Elsevier, vol. 36(C), pages 56-66.
    9. Toxvaerd, F. & Rowthorn, R., 2020. "On the Management of Population Immunity," Cambridge Working Papers in Economics 2080, Faculty of Economics, University of Cambridge.
    10. Toxvaerd, Flavio, 2010. "Infection, Acquired Immunity and Externalities in Treatment," CEPR Discussion Papers 8111, C.E.P.R. Discussion Papers.
    11. Troy Tassier & Philip Polgreen & Alberto Segre, 2015. "Vaccination Games with Peer Effects in a Heterogeneous Hospital Worker Population," Administrative Sciences, MDPI, vol. 5(1), pages 1-25, January.
    12. White, Corey, 2019. "Measuring Social and Externality Benefits of in Influenza Vaccination," IZA Discussion Papers 12525, Institute of Labor Economics (IZA).
    13. Toxvaerd, Flavio, 2010. "Recurrent Infection and Externalities in Prevention," CEPR Discussion Papers 8112, C.E.P.R. Discussion Papers.
    14. Joseph Cook & Marc Jeuland & Brian Maskery & Donald Lauria & Dipika Sur & John Clemens & Dale Whittington, 2009. "Using private demand studies to calculate socially optimal vaccine subsidies in developing countries," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 28(1), pages 6-28.
    15. Toxvaerd, Flavio & Rowthorn, Robert, 2022. "On the management of population immunity," Journal of Economic Theory, Elsevier, vol. 204(C).
    16. Daoping Wang & Ottar N. Bjørnstad & Tianyang Lei & Yida Sun & Jingwen Huo & Qi Hao & Zhao Zeng & Shupeng Zhu & Stéphane Hallegatte & Ruiyun Li & Dabo Guan & Nils C. Stenseth, 2023. "Supply chains create global benefits from improved vaccine accessibility," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    17. Stankov, Petar, 2024. "Will voters polarize over pandemic restrictions? Theory and evidence from COVID-19," Economic Modelling, Elsevier, vol. 136(C).
    18. Andrew Souther & Myong-Hun Chang & Troy Tassier, 2023. "It’s worth a shot: urban density, endogenous vaccination decisions, and dynamics of infectious disease," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 18(1), pages 163-189, January.
    19. Fenichel, Eli P., 2013. "Economic considerations for social distancing and behavioral based policies during an epidemic," Journal of Health Economics, Elsevier, vol. 32(2), pages 440-451.
    20. Charles F. Manski, 2014. "Vaccine Approvals and Mandates Under Uncertainty: Some Simple Analytics," NBER Working Papers 20432, National Bureau of Economic Research, Inc.
    21. Donald T. Lauria & Brian Maskery & Christine Poulos & Dale Whittington, 2008. "An Optimisation Model for Use of the Vi Polysaccharide Vaccine to Prevent Typhoid in Developing Countries," Global Development Institute Working Paper Series 1808, GDI, The University of Manchester.
    22. Telalagic, S., 2012. "Optimal Treatment of an SIS Disease with Two Strains," Cambridge Working Papers in Economics 1229, Faculty of Economics, University of Cambridge.

  5. Song, ChiUng & Boulier, Bryan L. & Stekler, Herman O., 2007. "The comparative accuracy of judgmental and model forecasts of American football games," International Journal of Forecasting, Elsevier, vol. 23(3), pages 405-413.

    Cited by:

    1. Valeria Croce & Karl W. Wöber, 2011. "Judgemental Forecasting Support Systems in Tourism," Tourism Economics, , vol. 17(4), pages 709-724, August.
    2. Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
      • Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    3. Jain, Kriti & Bearden, J. Neil & Filipowicz, Allan, 2013. "Depression and forecast accuracy: Evidence from the 2010 FIFA World Cup," International Journal of Forecasting, Elsevier, vol. 29(1), pages 69-79.
    4. ChiUng Song & Bryan L. Boulier & Herman O. Stekler, 2008. "Measuring Consensus in Binary Forecasts: NFL Game Predictions," Working Papers 2008-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    5. Wunderlich, Fabian & Memmert, Daniel, 2020. "Are betting returns a useful measure of accuracy in (sports) forecasting?," International Journal of Forecasting, Elsevier, vol. 36(2), pages 713-722.
    6. Janhuba, Radek, 2019. "Do victories and losses matter? Effects of football on life satisfaction," Journal of Economic Psychology, Elsevier, vol. 75(PB).
    7. Delen, Dursun & Cogdell, Douglas & Kasap, Nihat, 2012. "A comparative analysis of data mining methods in predicting NCAA bowl outcomes," International Journal of Forecasting, Elsevier, vol. 28(2), pages 543-552.
    8. Andreas Heuer & Oliver Rubner, 2014. "Optimizing the Prediction Process: From Statistical Concepts to the Case Study of Soccer," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-9, September.
    9. Strumbelj, E. & Sikonja, M. Robnik, 2010. "Online bookmakers' odds as forecasts: The case of European soccer leagues," International Journal of Forecasting, Elsevier, vol. 26(3), pages 482-488, July.
    10. Hubáček, Ondřej & Šourek, Gustav & Železný, Filip, 2019. "Exploiting sports-betting market using machine learning," International Journal of Forecasting, Elsevier, vol. 35(2), pages 783-796.
    11. Bernardo, Giovanni & Ruberti, Massimo & Verona, Roberto, 2015. "Testing semi-strong efficiency in a fixed odds betting market: Evidence from principal European football leagues," MPRA Paper 66414, University Library of Munich, Germany.
    12. Bernardo, Giovanni & Ruberti, Massimo & Verona, Roberto, 2019. "Semi-strong inefficiency in the fixed odds betting market: Underestimating the positive impact of head coach replacement in the main European soccer leagues," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 239-246.
    13. Hubáček, Ondřej & Šír, Gustav, 2023. "Beating the market with a bad predictive model," International Journal of Forecasting, Elsevier, vol. 39(2), pages 691-719.
    14. Kyle J. Kain & Trevon D. Logan, 2014. "Are Sports Betting Markets Prediction Markets?," Journal of Sports Economics, , vol. 15(1), pages 45-63, February.
    15. Leitner, Christoph & Zeileis, Achim & Hornik, Kurt, 2010. "Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EUROÂ 2008," International Journal of Forecasting, Elsevier, vol. 26(3), pages 471-481, July.
    16. B. Jay Coleman, 2017. "Team Travel Effects and the College Football Betting Market," Journal of Sports Economics, , vol. 18(4), pages 388-425, May.

  6. Bryan Boulier & H. O. Stekler & Sarah Amundson, 2006. "Testing the efficiency of the National Football League betting market," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 279-284.

    Cited by:

    1. Johnnie Johnson & Alistair Bruce & Jiejun Yu, 2010. "The ordinal efficiency of betting markets: an exploded logit approach," Applied Economics, Taylor & Francis Journals, vol. 42(29), pages 3703-3709.
    2. Justin L. Davis & Kevin Krieger, 2017. "Preseason bias in the NFL and NBA betting markets," Applied Economics, Taylor & Francis Journals, vol. 49(12), pages 1204-1212, March.
    3. Justin Cox & Adam L. Schwartz & Bonnie F. Van Ness & Robert A. Van Ness, 2021. "The Predictive Power of College Football Spreads: Regular Season Versus Bowl Games," Journal of Sports Economics, , vol. 22(3), pages 251-273, April.
    4. Feess, Eberhard & Müller, Helge & Schumacher, Christoph, 2016. "Estimating risk preferences of bettors with different bet sizes," European Journal of Operational Research, Elsevier, vol. 249(3), pages 1102-1112.
    5. Steven Caudill, 2009. "OSU and LSU: easy to spell but did they belong? Using the method of paired comparisons to evaluate the BCS rankings and the NCAA football championship game 2007-08," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3225-3230.
    6. Martin Spann & Bernd Skiera, 2009. "Sports forecasting: a comparison of the forecast accuracy of prediction markets, betting odds and tipsters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(1), pages 55-72.
    7. Justin Davis & Andy Fodor & Luke McElfresh & Kevin Kreiger, 2015. "Exploiting Week 2 Bias in the NFL Betting Markets," Journal of Prediction Markets, University of Buckingham Press, vol. 9(1), pages 53-67.
    8. Michael A. Roach, 2018. "Testing Labor Market Efficiency Across Position Groups in the NFL," Journal of Sports Economics, , vol. 19(8), pages 1093-1121, December.
    9. N. Winchester & R. T. Stefani, 2013. "An innovative approach to National Football League standings using bonus points," Applied Economics, Taylor & Francis Journals, vol. 45(1), pages 123-134, January.
    10. Miller, Thomas W. & Rapach, David E., 2013. "An intra-week efficiency analysis of bookie-quoted NFL betting lines in NYC," Journal of Empirical Finance, Elsevier, vol. 24(C), pages 10-23.
    11. Hvattum, Lars Magnus & Arntzen, Halvard, 2010. "Using ELO ratings for match result prediction in association football," International Journal of Forecasting, Elsevier, vol. 26(3), pages 460-470, July.

  7. Boulier, Bryan L. & Stekler, H. O., 2003. "Predicting the outcomes of National Football League games," International Journal of Forecasting, Elsevier, vol. 19(2), pages 257-270.

    Cited by:

    1. Yiwen Xu & Ying Wang & Yang Yang, 2024. "The Impact of Air Pollution on Game Outcome," Journal of Sports Economics, , vol. 25(5), pages 557-582, June.
    2. Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
      • Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    3. Forrest, David & Sanz, Ismael & Tena, J.D., 2010. "Forecasting national team medal totals at the Summer Olympic Games," International Journal of Forecasting, Elsevier, vol. 26(3), pages 576-588, July.
    4. Pascal Courty & Jeffrey Cisyk, 2024. "Sports injuries and game stakes: Concussions in the National Football League," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 430-448, January.
    5. Justin Cox & Adam L. Schwartz & Bonnie F. Van Ness & Robert A. Van Ness, 2021. "The Predictive Power of College Football Spreads: Regular Season Versus Bowl Games," Journal of Sports Economics, , vol. 22(3), pages 251-273, April.
    6. Baker, Rose D. & McHale, Ian G., 2013. "Forecasting exact scores in National Football League games," International Journal of Forecasting, Elsevier, vol. 29(1), pages 122-130.
    7. Butler, David & Butler, Robert & Eakins, John, 2021. "Expert performance and crowd wisdom: Evidence from English Premier League predictions," European Journal of Operational Research, Elsevier, vol. 288(1), pages 170-182.
    8. Matthew Gentzkow & Jesse M. Shapiro, 2006. "Media Bias and Reputation," Journal of Political Economy, University of Chicago Press, vol. 114(2), pages 280-316, April.
    9. Herman O. Stekler, 2007. "Sports Forecasting," Working Papers 2007-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Jan 2007.
    10. West Brady T & Lamsal Madhur, 2008. "A New Application of Linear Modeling in the Prediction of College Football Bowl Outcomes and the Development of Team Ratings," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 4(3), pages 1-21, July.
    11. Niven Winchester & Raymond T. Stefani, 2009. "An innovative approach to National Football League standings using optimal bonus points," Working Papers 0905, University of Otago, Department of Economics, revised Jun 2009.
    12. Fentaw Abegaz & Ernst Wit, 2015. "Copula Gaussian graphical models with penalized ascent Monte Carlo EM algorithm," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 69(4), pages 419-441, November.
    13. del Corral, Julio & Prieto-Rodríguez, Juan, 2010. "Are differences in ranks good predictors for Grand Slam tennis matches?," International Journal of Forecasting, Elsevier, vol. 26(3), pages 551-563, July.
    14. Barajas, Angel & Fernández-Jardón, Carlos & Crolley, Liz, 2005. "Does sports performance influence revenues and economic results in Spanish football?," MPRA Paper 3234, University Library of Munich, Germany.
    15. Scheibehenne, Benjamin & Broder, Arndt, 2007. "Predicting Wimbledon 2005 tennis results by mere player name recognition," International Journal of Forecasting, Elsevier, vol. 23(3), pages 415-426.
    16. Andersson, Patric & Edman, Jan & Ekman, Mattias, 2005. "Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts," International Journal of Forecasting, Elsevier, vol. 21(3), pages 565-576.
    17. Vittorio Maniezzo & Fabian Andres Aspee Encina, 2022. "Predictive Analytics for Real-time Auction Bidding Support: a Case on Fantasy Football," SN Operations Research Forum, Springer, vol. 3(3), pages 1-23, September.
    18. Forrest, David & Goddard, John & Simmons, Robert, 2005. "Odds-setters as forecasters: The case of English football," International Journal of Forecasting, Elsevier, vol. 21(3), pages 551-564.
    19. Song, ChiUng & Boulier, Bryan L. & Stekler, Herman O., 2007. "The comparative accuracy of judgmental and model forecasts of American football games," International Journal of Forecasting, Elsevier, vol. 23(3), pages 405-413.
    20. Alessandro Innocenti & Tommaso Nannicini & Roberto Ricciuti, 2012. "The Importance of Betting Early," Labsi Experimental Economics Laboratory University of Siena 037, University of Siena.
    21. Simmons, Rob, 2004. "The analysis of sports forecasting: Modeling parallels between sports gambling and financial markets: William S. Mallios, Kluwer Academic Publishers, Boston & Dordrecht, 2000, 312 pages, ISBN 0-7923-7," International Journal of Forecasting, Elsevier, vol. 20(1), pages 149-150.
    22. Carlos Sáenz-Royo, 2017. "A plausible Decision Heuristics Model: Fallibility of human judgment as an endogenous problem," Working Papers 2017/04, Economics Department, Universitat Jaume I, Castellón (Spain).
    23. Ruud H. Koning & Ian G. McHale, 2012. "Estimating Match and World Cup Winning Probabilities," Chapters, in: Wolfgang Maennig & Andrew Zimbalist (ed.), International Handbook on the Economics of Mega Sporting Events, chapter 11, Edward Elgar Publishing.
    24. Egon Franck & Erwin Verbeek & Stephan Nüesch, 2008. "Prediction Accuracy of Different Market Structures – Bookmakers versus a Betting Exchange," Working Papers 0096, University of Zurich, Institute for Strategy and Business Economics (ISU), revised 2009.
    25. Oberstone Joel, 2009. "Differentiating the Top English Premier League Football Clubs from the Rest of the Pack: Identifying the Keys to Success," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-29, July.
    26. Yu, Dian & Gao, Jianjun & Wang, Tongyao, 2022. "Betting market equilibrium with heterogeneous beliefs: A prospect theory-based model," European Journal of Operational Research, Elsevier, vol. 298(1), pages 137-151.
    27. Angelini, Giovanni & De Angelis, Luca, 2019. "Efficiency of online football betting markets," International Journal of Forecasting, Elsevier, vol. 35(2), pages 712-721.
    28. Barajas, Angel, 2004. "Modelo de valoración de clubes de fútbol basado en los factores clave de su negocio [Valuation model for football clubs based on the key factors of their business]," MPRA Paper 13158, University Library of Munich, Germany.
    29. Sperb, Luis Felipe Costa & Sung, Ming-Chien & Johnson, Johnnie E.V. & Ma, Tiejun, 2019. "Keeping a weather eye on prediction markets: The influence of environmental conditions on forecasting accuracy," International Journal of Forecasting, Elsevier, vol. 35(1), pages 321-335.
    30. Nancy Ammon Jianakoplos & Martin Shields, 2012. "Practice or Profits," Journal of Sports Economics, , vol. 13(4), pages 451-465, August.
    31. Joshua D. Pitts, 2016. "Determinants of Success in the National Football League’s Postseason," Journal of Sports Economics, , vol. 17(1), pages 86-111, January.
    32. Bryan Boulier & H. O. Stekler & Sarah Amundson, 2006. "Testing the efficiency of the National Football League betting market," Applied Economics, Taylor & Francis Journals, vol. 38(3), pages 279-284.
    33. Hvattum, Lars Magnus & Arntzen, Halvard, 2010. "Using ELO ratings for match result prediction in association football," International Journal of Forecasting, Elsevier, vol. 26(3), pages 460-470, July.
    34. Leitner, Christoph & Zeileis, Achim & Hornik, Kurt, 2010. "Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EUROÂ 2008," International Journal of Forecasting, Elsevier, vol. 26(3), pages 471-481, July.
    35. Goldstein, Daniel G. & Gigerenzer, Gerd, 2009. "Fast and frugal forecasting," International Journal of Forecasting, Elsevier, vol. 25(4), pages 760-772, October.
    36. Andersson, Patric & Ekman, Mattias & Edman, Jan, 2003. "Forecasting the fast and frugal way: A study of performance and information-processing strategies of experts and non-experts when predicting the World Cup 2002 in soccer," SSE/EFI Working Paper Series in Business Administration 2003:9, Stockholm School of Economics.

  8. Boulier, Bryan L. & Stekler, H. O., 2000. "The term spread as a monthly cyclical indicator: an evaluation," Economics Letters, Elsevier, vol. 66(1), pages 79-83, January.

    Cited by:

    1. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95.
    2. Ng, Eric C.Y., 2012. "Forecasting US recessions with various risk factors and dynamic probit models," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 112-125.
    3. Kose, M. Ayhan & Claessens, Stijn, 2017. "Asset Prices and Macroeconomic Outcomes: A Survey," CEPR Discussion Papers 12460, C.E.P.R. Discussion Papers.
    4. John G Powell & Sirimon Treepongkaruna, 2012. "Recession fears as self-fulfilling prophecies? Influence on stock returns and output," Australian Journal of Management, Australian School of Business, vol. 37(2), pages 231-260, August.
    5. Bruinshoofd, W.A. & Candelon, B. & Raabe, K., 2005. "Banking sector strength and the transmission of currency crises," Research Memorandum 022, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    6. Masashi Hasegawa & Yuichi Fukuta, 2011. "An empirical analysis of information in the yield spread on future recessions in Japan," Applied Economics, Taylor & Francis Journals, vol. 43(15), pages 1865-1881.
    7. Panopoulou, Ekaterini, 2007. "Predictive financial models of the euro area: A new evaluation test," International Journal of Forecasting, Elsevier, vol. 23(4), pages 695-705.
    8. Breitung, Jorg & Candelon, Bertrand, 2006. "Testing for short- and long-run causality: A frequency-domain approach," Journal of Econometrics, Elsevier, vol. 132(2), pages 363-378, June.

  9. Boulier, Bryan L. & Stekler, H. O., 1999. "Are sports seedings good predictors?: an evaluation," International Journal of Forecasting, Elsevier, vol. 15(1), pages 83-91, February.

    Cited by:

    1. Nicholas G. Hall & Chris N. Potts, 2012. "A Proposal for Redesign of the FedEx Cup Playoff Series on the PGA TOUR," Interfaces, INFORMS, vol. 42(2), pages 166-179, April.
    2. Kovalchik, Stephanie, 2020. "Extension of the Elo rating system to margin of victory," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1329-1341.
    3. Klaassen, Franc J. G. M. & Magnus, Jan R., 2003. "Forecasting the winner of a tennis match," European Journal of Operational Research, Elsevier, vol. 148(2), pages 257-267, July.
    4. Stekler Herman O. & Klein Andrew, 2012. "Predicting the Outcomes of NCAA Basketball Championship Games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(1), pages 1-10, March.
    5. Blackburn McKinley L., 2013. "Ranking the performance of tennis players: an application to women’s professional tennis," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 9(4), pages 367-378, December.
    6. Kovalchik Stephanie Ann, 2016. "Searching for the GOAT of tennis win prediction," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(3), pages 127-138, September.
    7. Andrew J. Leach, 2003. "SubGame, set and match. Identifying Incentive Response in a Tournament," Cahiers de recherche 04-02, HEC Montréal, Institut d'économie appliquée.
    8. Stekler, H.O. & Sendor, David & Verlander, Richard, 2010. "Issues in sports forecasting," International Journal of Forecasting, Elsevier, vol. 26(3), pages 606-621, July.
      • Herman O. Stekler & David Sendor & Richard Verlander, 2009. "Issues in Sports Forecasting," Working Papers 2009-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    9. Jain, Kriti & Bearden, J. Neil & Filipowicz, Allan, 2013. "Depression and forecast accuracy: Evidence from the 2010 FIFA World Cup," International Journal of Forecasting, Elsevier, vol. 29(1), pages 69-79.
    10. Ira Horowitz, 2018. "Competitive Balance in the NBA Playoffs," The American Economist, Sage Publications, vol. 63(2), pages 215-227, October.
    11. Coleman Jay & Lynch Allen K, 2009. "NCAA Tournament Games: The Real Nitty-Gritty," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 5(3), pages 1-27, July.
    12. Steven Caudill & Norman Godwin, 2002. "Heterogeneous skewness in binary choice models: Predicting outcomes in the men's NCAA basketball tournament," Journal of Applied Statistics, Taylor & Francis Journals, vol. 29(7), pages 991-1001.
    13. Lopez Michael J. & Matthews Gregory J., 2015. "Building an NCAA men’s basketball predictive model and quantifying its success," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 11(1), pages 5-12, March.
    14. Alberto Arcagni & Vincenzo Candila & Rosanna Grassi, 2023. "A new model for predicting the winner in tennis based on the eigenvector centrality," Annals of Operations Research, Springer, vol. 325(1), pages 615-632, June.
    15. Ferda HALICIOGLU, 2005. "Forecasting the Professional Team Sporting Events: Evidence from Euro 2000 and 2004 Football Tournaments," Industrial Organization 0508001, University Library of Munich, Germany.
    16. Caudill, Steven B., 2003. "Predicting discrete outcomes with the maximum score estimator: the case of the NCAA men's basketball tournament," International Journal of Forecasting, Elsevier, vol. 19(2), pages 313-317.
    17. McHale, Ian & Morton, Alex, 2011. "A Bradley-Terry type model for forecasting tennis match results," International Journal of Forecasting, Elsevier, vol. 27(2), pages 619-630, April.
    18. Karpov, Alexander, 2015. "A theory of knockout tournament seedings," Working Papers 0600, University of Heidelberg, Department of Economics.
    19. Ludden Ian G. & Khatibi Arash & King Douglas M. & Jacobson Sheldon H., 2020. "Models for generating NCAA men’s basketball tournament bracket pools," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 16(1), pages 1-15, March.
    20. P. Gorgi & Siem Jan (S.J.) Koopman & R. Lit, 2018. "The analysis and forecasting of ATP tennis matches using a high-dimensional dynamic model," Tinbergen Institute Discussion Papers 18-009/III, Tinbergen Institute.
    21. Julio del Corral, 2009. "Competitive Balance and Match Uncertainty in Grand-Slam Tennis," Journal of Sports Economics, , vol. 10(6), pages 563-581, December.
    22. Herman O. Stekler, 2007. "Sports Forecasting," Working Papers 2007-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Jan 2007.
    23. Manner Hans, 2016. "Modeling and forecasting the outcomes of NBA basketball games," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 12(1), pages 31-41, March.
    24. Vincenzo Candila & Lucio Palazzo, 2020. "Neural Networks and Betting Strategies for Tennis," Risks, MDPI, vol. 8(3), pages 1-19, June.
    25. Bryan Clair & David Letscher, 2007. "Optimal Strategies for Sports Betting Pools," Operations Research, INFORMS, vol. 55(6), pages 1163-1177, December.
    26. del Corral, Julio & Prieto-Rodríguez, Juan, 2010. "Are differences in ranks good predictors for Grand Slam tennis matches?," International Journal of Forecasting, Elsevier, vol. 26(3), pages 551-563, July.
    27. Scheibehenne, Benjamin & Broder, Arndt, 2007. "Predicting Wimbledon 2005 tennis results by mere player name recognition," International Journal of Forecasting, Elsevier, vol. 23(3), pages 415-426.
    28. Kurt Rotthoff & Danielle Zanzalari & John Jasina, 2011. "What are the odds? A measure of the small sample problems," Applied Economics Letters, Taylor & Francis Journals, vol. 18(12), pages 1139-1143.
    29. Selçuk Özaydın & Thomas Könecke, 2024. "Match-Level Uncertainty in Professional Tennis Revisited—A Novel Approach Applied for the Time Between 2010 and 2019," Journal of Sports Economics, , vol. 25(4), pages 507-532, May.
    30. Todd Kuethe & Timothy Zimmer, 2008. "Major Conference Bias and the NCAA Men's Basketball Tournament," Economics Bulletin, AccessEcon, vol. 12(17), pages 1-6.
    31. Boulier, Bryan L. & Stekler, H. O., 2003. "Predicting the outcomes of National Football League games," International Journal of Forecasting, Elsevier, vol. 19(2), pages 257-270.
    32. Andersson, Patric & Edman, Jan & Ekman, Mattias, 2005. "Predicting the World Cup 2002 in soccer: Performance and confidence of experts and non-experts," International Journal of Forecasting, Elsevier, vol. 21(3), pages 565-576.
    33. Ferda Halicioglu, 2005. "Can We Predict The Outcome Of The International Football Tournaments : The Case Of Euro 2000?," Microeconomics 0503008, University Library of Munich, Germany.
    34. Morris Tracy L. & Bokhari Faryal H., 2012. "The Dreaded Middle Seeds - Are They the Worst Seeds in the NCAA Basketball Tournament?," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 8(2), pages 1-13, June.
    35. Rose D. Baker & Ian G. McHale, 2013. "Optimal Betting Under Parameter Uncertainty: Improving the Kelly Criterion," Decision Analysis, INFORMS, vol. 10(3), pages 189-199, September.
    36. Alessandro Innocenti & Tommaso Nannicini & Roberto Ricciuti, 2012. "The Importance of Betting Early," Labsi Experimental Economics Laboratory University of Siena 037, University of Siena.
    37. Paul Kvam & Joel S. Sokol, 2006. "A logistic regression/Markov chain model for NCAA basketball," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(8), pages 788-803, December.
    38. Kovalchik, Stephanie & Reid, Machar, 2019. "A calibration method with dynamic updates for within-match forecasting of wins in tennis," International Journal of Forecasting, Elsevier, vol. 35(2), pages 756-766.
    39. Yuan Lo-Hua & Liu Anthony & Yeh Alec & Kaufman Aaron & Reece Andrew & Bull Peter & Franks Alex & Wang Sherrie & Illushin Dmitri & Bornn Luke, 2015. "A mixture-of-modelers approach to forecasting NCAA tournament outcomes," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 11(1), pages 13-27, March.
    40. Karlsson, Niklas & Lunander, Anders, 2020. "Choosing Opponents in Skiing Sprint Elimination Tournaments," Working Papers 2020:6, Örebro University, School of Business, revised 01 Sep 2020.
    41. B. Jay Coleman & J. Michael DuMond & Allen K. Lynch, 2010. "Evidence of bias in NCAA tournament selection and seeding," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 31(7), pages 431-452.
    42. McHale, Ian & Morton, Alex, 2011. "A Bradley-Terry type model for forecasting tennis match results," International Journal of Forecasting, Elsevier, vol. 27(2), pages 619-630.
    43. Lebovic, James H. & Sigelman, Lee, 2001. "The forecasting accuracy and determinants of football rankings," International Journal of Forecasting, Elsevier, vol. 17(1), pages 105-120.
    44. Hvattum, Lars Magnus & Arntzen, Halvard, 2010. "Using ELO ratings for match result prediction in association football," International Journal of Forecasting, Elsevier, vol. 26(3), pages 460-470, July.
    45. Irons David J. & Buckley Stephen & Paulden Tim, 2014. "Developing an improved tennis ranking system," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 10(2), pages 109-118, June.
    46. Halkos, George & Tzeremes, Nickolaos, 2012. "Evaluating professional tennis players’ career performance: A Data Envelopment Analysis approach," MPRA Paper 41516, University Library of Munich, Germany.
    47. Leitner, Christoph & Zeileis, Achim & Hornik, Kurt, 2010. "Forecasting sports tournaments by ratings of (prob)abilities: A comparison for the EUROÂ 2008," International Journal of Forecasting, Elsevier, vol. 26(3), pages 471-481, July.
    48. Michael Cary & Heather Stephens, 2023. "Gendered Consequences of COVID-19 Among Professional Tennis Players," Journal of Sports Economics, , vol. 24(2), pages 241-266, February.
    49. Angelini, Giovanni & Candila, Vincenzo & De Angelis, Luca, 2022. "Weighted Elo rating for tennis match predictions," European Journal of Operational Research, Elsevier, vol. 297(1), pages 120-132.
    50. Goldstein, Daniel G. & Gigerenzer, Gerd, 2009. "Fast and frugal forecasting," International Journal of Forecasting, Elsevier, vol. 25(4), pages 760-772, October.
    51. Andersson, Patric & Ekman, Mattias & Edman, Jan, 2003. "Forecasting the fast and frugal way: A study of performance and information-processing strategies of experts and non-experts when predicting the World Cup 2002 in soccer," SSE/EFI Working Paper Series in Business Administration 2003:9, Stockholm School of Economics.

  10. Bryan Boulier & Robert Goldfarb, 1998. "On the use and nonuse of surveys in economics," Journal of Economic Methodology, Taylor & Francis Journals, vol. 5(1), pages 1-21.

    Cited by:

    1. Stavros A. Drakopoulos, 2020. "Pay Level Comparisons in Job Satisfaction Research and Mainstream Economic Methodology," Journal of Happiness Studies, Springer, vol. 21(3), pages 825-842, March.
    2. Carson, Richard T. & Hanemann, W. Michael, 2006. "Contingent Valuation," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 17, pages 821-936, Elsevier.
    3. Mazzanti, Massimiliano, 2003. "Valuing cultural heritage in a multi-attribute framework microeconomic perspectives and policy implications," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 32(5), pages 549-569, November.
    4. Lind, Hans, 2007. "The story and the model done: An evaluation of mathematical models of rent control," Regional Science and Urban Economics, Elsevier, vol. 37(2), pages 183-198, March.
    5. Mikael Apel & Carl Andreas Claussen & Petra Gerlach-Kristen & Petra Lennartsdotter & Øistein Røisland, 2013. "Monetary policy decisions – comparing theory and “inside” information from MPC members," Working Paper 2013/03, Norges Bank.
    6. Shuo Liu & Nick Netzer, 2023. "Happy Times: Measuring Happiness Using Response Times," CESifo Working Paper Series 10360, CESifo.
    7. Thomas Mayer, 2004. "The Influence Of Friedman'S Methodological Essay," Working Papers 74, University of California, Davis, Department of Economics.
    8. Chersoni, Giulia & DellaValle, Nives & Fontana, Magda, 2022. "Modelling thermal insulation investment choice in the EU via a behaviourally informed agent-based model," Energy Policy, Elsevier, vol. 163(C).
    9. Doran, Áine, 2021. "A poor inquiry: Poverty and living standards in pre-famine Ireland," QUCEH Working Paper Series 21-01, Queen's University Belfast, Queen's University Centre for Economic History.
    10. Carlo Gola, 2000. "Export pricing strategy of Italian firms: from the depreciation of the lira to the euro," LIUC Papers in Economics 77, Cattaneo University (LIUC).
    11. Drakopoulos, Stavros A., 2023. "The Economics of Wellbeing and Psychology: An Historical and Methodological Viewpoint," MPRA Paper 117891, University Library of Munich, Germany.
    12. John K. Horowitz & Kenneth E. McConnell & James J. Murphy, 2012. "Behavioral Foundations of Environmental Economics and Valuation," Working Papers 2012-03, University of Alaska Anchorage, Department of Economics.
    13. Robert Goldfarb & Thomas Leonard & Steven Suranovic, 2001. "Are rival theories of smoking underdetermined?," Journal of Economic Methodology, Taylor & Francis Journals, vol. 8(2), pages 229-251.
    14. Mikael Apel & Carl Andreas Claussen & Petra Lennartsdotter & Øistein Røisland, 2015. "Monetary Policy Committees: Comparing Theory and "Inside" Information from MPC Members," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 47-89, December.
    15. Oslington, Paul & Freyens, Ben, 2005. "Dismissal Costs and their Impact on Employment: Evidence from Australian Small and Medium Enterprises," MPRA Paper 961, University Library of Munich, Germany.
    16. Henrik Hansen & John Rand & Finn Tarp & Neda Trifković, 2019. "Managerial attributes and enterprise access to formal credit in Myanmar," WIDER Working Paper Series wp-2019-20, World Institute for Development Economic Research (UNU-WIDER).
    17. Banzhaf, H. Spencer, 2016. "Constructing markets: environmental economics and the contingent valuation controversy," MPRA Paper 78814, University Library of Munich, Germany.

  11. Boulier, Bryan L. & Goldfarb, Robert S., 1991. "Pisces Economicus: The Fish as Economic Man," Economics and Philosophy, Cambridge University Press, vol. 7(1), pages 83-86, April.

    Cited by:

    1. Panos KALIMERIS, 2018. "Ecce Homo-Economicus? The Dr. Jekyll and Mr. Hide syndrome of the economic man in the context of natural resources scarcity and environmental externalities," The Journal of Philosophical Economics, Bucharest Academy of Economic Studies, The Journal of Philosophical Economics, vol. 12(1), pages 89-111, November.
    2. Bernard Saffran, 1992. "Recommendations for Further Reading," Journal of Economic Perspectives, American Economic Association, vol. 6(1), pages 195-200, Winter.

  12. Bryan Boulier & Vicente Paqueo, 1988. "On the theory and measurement of the determinants of mortality," Demography, Springer;Population Association of America (PAA), vol. 25(2), pages 249-263, May.

    Cited by:

    1. Lewin, Keith M., 1993. "Education and Development: The Issues and the Evidence," Education Research Papers 12875, Department for International Development (DFID) (UK).
    2. Lavy, Victor & Strauss, John & Thomas, Duncan & de Vreyer, Philippe, 1996. "Quality of health care, survival and health outcomes in Ghana," Journal of Health Economics, Elsevier, vol. 15(3), pages 333-357, June.
    3. Robert McNown & Andrei Rogers, 1989. "Forecasting Mortality: A Parameterized Time Series Approach," Demography, Springer;Population Association of America (PAA), vol. 26(4), pages 645-660, November.
    4. David Lawson, 2004. "Determinants of Health - How Important Is Income? - Evidence from Uganda," Econometric Society 2004 Australasian Meetings 199, Econometric Society.

  13. Boulier, Bryan L & Rosenzweig, Mark R, 1984. "Schooling, Search, and Spouse Selection: Testing Economic Theories of Marriage and Household Behavior," Journal of Political Economy, University of Chicago Press, vol. 92(4), pages 712-732, August.

    Cited by:

    1. Andrew D. Foster, 1995. "Analysis of Household Behavior when Households Choose Their Members: Marriage-Market Selection and Human Capital Allocations in Rural Bangladesh," Home Pages _078, University of Pennsylvania.
    2. Tequamem, Miron & Tirivayi, Nyasha, 2015. "Higher education and fertility: Evidence from a natural experiment in Ethiopia," MERIT Working Papers 2015-019, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    3. Engdahl, Mattias & Godard, Mathilde & Skans, Oskar N., 2019. "Entrer sur le marché du travail en période de récession : quels effets sur le parcours familial ?," CEPREMAP Working Papers (Docweb) 1903, CEPREMAP.
    4. Philipp Kircher & Michele Tertilt & Cezar Santos & Jeremy Greenwood, 2013. "An Equilibrium Model of the African HIV/AIDS Epidemic," 2013 Meeting Papers 195, Society for Economic Dynamics.
    5. David S Loughran & Julie Zissimopoulos, 2004. "Are There Gains to Delaying Marriage? The Effect of Age at First Marriage on Career Development and Wages," Working Papers WR-207, RAND Corporation.
    6. Yamamura, Eiji & Mano, Yukichi, 2011. "An investigation into the positive effect of an educated wife on her husband’s earnings: the case of Japan in the period between 2000 and 2003," MPRA Paper 31097, University Library of Munich, Germany.
    7. Mattias Engdahl & Mathilde Godard & Oskar Nordström Skans, 2020. "Early Labor Market prospects and family formation," Post-Print halshs-03043824, HAL.
    8. Govert Bijwaard & Qi Wang, 2013. "Return Migration of Foreign Students," Norface Discussion Paper Series 2013005, Norface Research Programme on Migration, Department of Economics, University College London.
    9. Michael Zimmer, 1996. "Assortative mating and ethnicity in the low wage population: an examination of spouses' earnings," Applied Economics Letters, Taylor & Francis Journals, vol. 3(5), pages 311-315.
    10. Raquel Ferndez & Nezih Guner & John Knowles, 2001. "Love and Money: A Theoretical and Empirical Analysis of Household Sorting and Inequality," Penn CARESS Working Papers d3d043317c8e26c4039c21aa0, Penn Economics Department.
    11. Paul Schultz, T., 2002. "Why Governments Should Invest More to Educate Girls," World Development, Elsevier, vol. 30(2), pages 207-225, February.
    12. Kai A. Konrad & Kjell Erik Lommerud, 2010. "Love and taxes - and matching institutions," Canadian Journal of Economics, Canadian Economics Association, vol. 43(3), pages 919-940, August.
    13. Francesco C. Billari & Dimiter Philipov, 2004. "Women's education and entry into a first union. A simultaneous-hazard comparative analysis of Central and Eastern Europe," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 2(1), pages 91-110.
    14. Mano, Yukichi & Yamamura, Eiji, 2012. "The Influence of a wife’s working status on her husband’s accumulation of human capital," MPRA Paper 37247, University Library of Munich, Germany.
    15. Fafchamps, Marcel & Quisumbing, Agnes R., 2004. "Assets at marriage in rural Ethiopia," FCND discussion papers 185, International Food Policy Research Institute (IFPRI).
    16. Nan L. Maxwell, 1987. "Influences On The Timing Of First Childbearing," Contemporary Economic Policy, Western Economic Association International, vol. 5(2), pages 113-122, April.
    17. Ong, David & Yang, Yu & Zhang, Junsen, 2020. "Hard to get: The scarcity of women and the competition for high-income men in urban China," MPRA Paper 98166, University Library of Munich, Germany, revised 2020.
    18. Francesconi, Marco & Ermisch, John, 2002. "Intergenerational social mobility and assortative mating in Britain," ISER Working Paper Series 2002-06, Institute for Social and Economic Research.
    19. Anukriti, S & Dasgupta, Shatanjaya, 2017. "Marriage Markets in Developing Countries," IZA Discussion Papers 10556, Institute of Labor Economics (IZA).
    20. Wong, Linda, 2001. "Structural Estimation of Marriage Models," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A1-1, International Conferences on Panel Data.
    21. Katja Maria Kaufmann & Matthias Messner & Alex Solis, 2013. "Returns to Elite Higher Education in the Marriage Market: Evidence from Chile," Working Papers 489, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    22. Harris, Matthew C. & Cronin, Christopher J., 2017. "The effects of prospective mate quality on investments in healthy body weight among single women," Economics & Human Biology, Elsevier, vol. 24(C), pages 164-183.
    23. Gustavo J Bobonis, 2009. "The Impact of Conditional Cash Transfers on Marriage and Divorce," Working Papers tecipa-359, University of Toronto, Department of Economics.
    24. Suqin Ge, 2011. "Women's College Decisions: How Much Does Marriage Matter?," Journal of Labor Economics, University of Chicago Press, vol. 29(4), pages 773-818.
    25. Suqin Ge & Fang Yang, 2013. "Accounting For The Gender Gap In College Attainment," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 478-499, January.
    26. Antonio Merlo & Cristina Echevarria, 1997. "Gender differences in education in a dynamic household bargaining model," Working Papers. Serie AD 1997-25, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    27. Prarthna Agarwal Goel, "undated". "Female Education, Marital Assortative Mating and Dowry: Theory and Evidence from India," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi Discussion Papers 19-05, Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi, India.
    28. Philip H. Brown, 2003. "Dowry and Intrahousehold Bargaining: Evidence from China," William Davidson Institute Working Papers Series 2003-608, William Davidson Institute at the University of Michigan.
    29. Jeanne Lafortune, 2013. "Making Yourself Attractive: Pre-marital Investments and the Returns to Education in the Marriage Market," American Economic Journal: Applied Economics, American Economic Association, vol. 5(2), pages 151-178, April.
    30. Fafchamps, Marcel & Quisumbing, Agnes R, 2005. "Marriage, Bequest, and Assortative Matching in Rural Ethiopia," Economic Development and Cultural Change, University of Chicago Press, vol. 53(2), pages 347-380, January.
    31. Phelps, Charlotte D., 1995. "Wives' motives and fertility," Journal of Economic Behavior & Organization, Elsevier, vol. 27(1), pages 49-67, June.
    32. Morando, Greta, 2014. "Partner ethnicity and ethnic minority socio- economic occupation: evidence from the UK," ISER Working Paper Series 2014-29, Institute for Social and Economic Research.
    33. Fang He, 2013. "Changes in Sex Ratio and Female Marriage Timing: An Empirical Study," Keio/Kyoto Joint Global COE Discussion Paper Series 2012-052, Keio/Kyoto Joint Global COE Program.
    34. Anderson, David A. & Hamori, Shigeyuki, 2000. "A theory of quality signaling in the marriage market," Japan and the World Economy, Elsevier, vol. 12(3), pages 229-242, September.
    35. Matthias Blum & Christopher L. Colvin & Laura McAtackney & Eoin McLaughlin, 2017. "Women of an uncertain age: quantifying human capital accumulation in rural Ireland in the nineteenth century," Economic History Review, Economic History Society, vol. 70(1), pages 187-223, February.
    36. Chong Huang & Hongbin Li & Pak Wai Liu & Junsen Zhang, 2009. "Why Does Spousal Education Matter for Earnings? Assortative Mating and Cross-Productivity," Journal of Labor Economics, University of Chicago Press, vol. 27(4), pages 633-652, October.
    37. Sanjaya DeSilva & Mohammed Mehrab Bin Bakhtiar, 2011. "Women, Schooling, and Marriage in Rural Philippines," Economics Working Paper Archive wp_701, Levy Economics Institute.
    38. Youjin Hahn & Kanti Nuzhat & Hee-Seung Yang, 2018. "The effect of female education on marital matches and child health in Bangladesh," Journal of Population Economics, Springer;European Society for Population Economics, vol. 31(3), pages 915-936, July.
    39. Yamamura, Eiji & Tsutsui, Yoshiro, 2017. "Comparing the role of the height of men and women in the marriage market," Economics & Human Biology, Elsevier, vol. 26(C), pages 42-50.
    40. Nicolas Gérard Vaillant & François-Charles Wolff, 2011. "Positive and negative preferences in human mate selection," Post-Print hal-02514417, HAL.
    41. Marcel Fafchamps & Agnes Quisumbing, 2004. "Marriage and Assortative Matching in Rural Ethiopia," Development and Comp Systems 0409023, University Library of Munich, Germany.
    42. Lucia Coppola, 2004. "Education and Union Formation as Simultaneous in Italy and Spain," European Journal of Population, Springer;European Association for Population Studies, vol. 20(3), pages 219-250, September.
    43. Nizam Khan & Andrew D. Foster, 1994. "Equilibrating the Marriage Market in a Rapidly Growing Population: Evidence from Rural Bangladesh," Home Pages _080, University of Pennsylvania.
    44. Hannum, Emily & Buchmann, Claudia, 2005. "Global Educational Expansion and Socio-Economic Development: An Assessment of Findings from the Social Sciences," World Development, Elsevier, vol. 33(3), pages 333-354, March.
    45. Yamauchi, Futoshi, 2007. "Marriage, schooling, and excess mortality in prime-age adults: Evidence from South Africa," IFPRI discussion papers 691, International Food Policy Research Institute (IFPRI).
    46. Marcelo Gantier & Rafael Novella & Andrea Repetto, 2024. "Subjective expectations and schooling choices in Latin America and the Caribbean," Journal of International Development, John Wiley & Sons, Ltd., vol. 36(3), pages 1593-1621, April.
    47. Chong Huang & Hongbin Li & Pak Wai Liu & Junsen Zhang, 2006. "Why Does Spousal Education Matter for Earnings? Assortative Mating or Cross-productivity," Discussion Papers 00020, Chinese University of Hong Kong, Department of Economics.
    48. Eiji Yamamura & Yoshiro Tsutsui, 2016. "Comparing the role of height between men and women in the marriage market," Discussion Papers in Economics and Business 16-20, Osaka University, Graduate School of Economics.
    49. Marcel Fafchamps & Agnes R. Quisumbing & IFPRI, 2006. "Household Formation and Marriage Markets," Economics Series Working Papers GPRG-WPS-039, University of Oxford, Department of Economics.
    50. Valerio Filoso, 2010. "Bright and Wealthy: Exploring Assortative Mating," Chapters, in: Neri Salvadori (ed.), Institutional and Social Dynamics of Growth and Distribution, chapter 10, Edward Elgar Publishing.
    51. Vaillant, Nicolas G. & Harrant, Valérie, 2008. "Determinants of the likelihood of finding the right partner in an arranged marriage: Evidence from a French matchmaking agency," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(2), pages 657-671, April.
    52. Helena Skyt Nielsen & Michael Svarer, 2009. "Educational Homogamy: How Much is Opportunities?," Journal of Human Resources, University of Wisconsin Press, vol. 44(4).
    53. Behrman, Jere R. & Murphy, Alexis & Quisumbing, Agnes & Ramakrishnan,Usha & Yount, Kathyrn, 2006. "What is the real impact of schooling on age of first union and age of first parenting ? New evidence from Guatemala," Policy Research Working Paper Series 4023, The World Bank.
    54. Karimi, Seyed M. & Taghvatalab, Golnaz, 2020. "Access to higher education and the likelihood of being married," The Quarterly Review of Economics and Finance, Elsevier, vol. 78(C), pages 22-33.
    55. Stefan Boes, 2009. "Partial Identification of Discrete Counterfactual Distributions with Sequential Update of Information," SOI - Working Papers 0918, Socioeconomic Institute - University of Zurich.
    56. Emran, M. Shabe & Otsuka, Misuzu & Shilpi, Forhad, 2003. "Gender, generations, and nonfarm participation," Policy Research Working Paper Series 3087, The World Bank.
    57. Akın, Ş. Nuray & Platt, Brennan C., 2016. "Accounting for age in marital search decisions," European Economic Review, Elsevier, vol. 85(C), pages 245-271.
    58. B E Tonn, 1986. "A Framework for the Nonstatistical Assessment of Behaviorally Based Policy Models," Environment and Planning A, , vol. 18(6), pages 789-802, June.

  14. Boulier, B L, 1984. "What Lies behind Verdoorn's Law?," Oxford Economic Papers, Oxford University Press, vol. 36(2), pages 259-267, June.

    Cited by:

    1. Álvaro Martín Moreno Rivas, 2008. "Las leyes del desarrollo económico endógeno de Kaldor: el caso colombiano," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 10(18), pages 129-147, January-J.
    2. Gerald Friedman, 2017. "A Future for Growth?," Review of Radical Political Economics, Union for Radical Political Economics, vol. 49(4), pages 652-662, December.
    3. Nicholas Apergis & Spyros Zikos, 2003. "The Law of Verdoorn: Evidence from Greek Disaggregated Manufacturing Time Series Data," The Economic and Social Review, Economic and Social Studies, vol. 34(1), pages 87-104.

  15. Bryan L. Boulier & Jack W. Wilson, 1982. "The Division of Labor is Limited to the Extent of the Market: A Test of the Hypothesis," Eastern Economic Journal, Eastern Economic Association, vol. 8(4), pages 301-307, Oct-Dec.

    Cited by:

    1. Richard Walker, 2005. "Superstars and Renaissance Men: Specialization, Market Size and the Income Distribution," CEP Discussion Papers dp0707, Centre for Economic Performance, LSE.
    2. Walker, Richard, 2005. "Superstars and renaissance men: specialization, market size and the income distribution," LSE Research Online Documents on Economics 19880, London School of Economics and Political Science, LSE Library.

  16. Bryan L. Boulier, 1982. "An Evaluation of Time Budget Studies as Complements to Conventional Labor Force Surveys," Philippine Review of Economics, University of the Philippines School of Economics and Philippine Economic Society, vol. 19(1), pages 43-56, March.

    Cited by:

    1. Anker, Richard,, 1983. "Female labour force activity in developing countries: a critique of current data collection techniques," ILO Working Papers 992254933402676, International Labour Organization.
    2. Anker, Richard,, 1983. "Effect on reported levels of female labour force participation in developing countries of questionnaire design, sex of interviewer and sex/ proxy status of respondent: description of a methodological ," ILO Working Papers 992254913402676, International Labour Organization.

  17. Bryan Boulier & Mark Rosenzweig, 1978. "Age, biological factors, and socioeconomic determinants of fertility: A new measure of cumulative fertility for use in the empirical analysis of family size," Demography, Springer;Population Association of America (PAA), vol. 15(4), pages 487-497, November.

    Cited by:

    1. Howlett, Peter, 2008. "Travelling in the social science community: assessing the impact of the Indian Green Revolution across disciplines," Economic History Working Papers 22513, London School of Economics and Political Science, Department of Economic History.
    2. Randall Olsen, 1980. "Estimating the effect of child mortality on the number of births," Demography, Springer;Population Association of America (PAA), vol. 17(4), pages 429-443, November.
    3. J. Stycos & Hussein Sayed & Roger Avery, 1985. "An evaluation of the population and development program in Egypt," Demography, Springer;Population Association of America (PAA), vol. 22(3), pages 431-443, August.

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