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on Sports and Economics |
| By: | Mohamad D. Revindo (Institute for Economic and Social Research, Faculty of Economics and Business, Universitas Indonesia (LPEM FEB UI)); Chairina H. Siregar (Institute for Economic and Social Research, Faculty of Economics and Business, Universitas Indonesia (LPEM FEB UI)); Amalia A. Widyasanti (Ministry of National Development Planning/National Development Planning Agency (Bappenas)); Devina Anindita (Institute for Economic and Social Research, Faculty of Economics and Business, Universitas Indonesia (LPEM FEB UI)); Nurindah W. Hastuti (Institute for Economic and Social Research, Faculty of Economics and Business, Universitas Indonesia (LPEM FEB UI)); Sean Hambali (Institute for Economic and Social Research, Faculty of Economics and Business, Universitas Indonesia (LPEM FEB UI)); Hamdan Bintara (Institute for Economic and Social Research, Faculty of Economics and Business, Universitas Indonesia (LPEM FEB UI)) |
| Abstract: | The 2018 Asian Games was the biggest sports event in the history of Asian Games. Held in Indonesia, the sports event contested 40 sports and 465 events while served for 11,326 athletes from 45 Asian countries, apart from hundreds of thousands of international visitors, officials and journalists. While required a considerable amount of public spending, such a massive scale of event generated large economic stimuli to Indonesian economy, among which were the spending of international participants and spectators. This study aims to estimate the determinants of international participants and spectators’ spending. Data were collected through face-to-face interviews during the event. The findings suggest that the spending and spending composition of international participants and spectators vary across types of participants, country of origins, gender, age group and traveling experiences. The academic and policy implications of the findings are discussed. |
| Keywords: | Asian Games — sports tourism — economic impact — spending behavior — Indonesia |
| JEL: | L83 R19 Z32 |
| Date: | 2019 |
| URL: | http://d.repec.org/n?u=RePEc:lpe:wpaper:201937&r=all |
| By: | Robert M. Lantis; Erik T. Nesson |
| Abstract: | We investigate the hot hand hypothesis using detailed data on free throws and field goal attempts for the entire 2013-2014 and 2014-2015 NBA regular seasons. Free throws represent a more controlled setting, allowing a closer examination of the potential physiological mechanisms behind success in repeated motions, while field goal attempts represent the setting most observers have in mind when commenting on a player's repeated shooting success. We examine these two settings together, within the same players in the same games, permitting a more comprehensive analysis of the hot hand. We find a small hot hand effect for free throws, concentrated in second and third shots in a free throw sequence, in players shooting at least 100 free throws in a season, and in games where players shoot four to five free throws. We find the opposite results for field goal attempts. If a player makes a field goal, he is less likely to make his next field goal attempt. These results are robust to controlling for the characteristics of the previous shot. Interestingly, both offenses and defenses respond to made field goals as if the hot hand effect exists. |
| JEL: | D91 |
| Date: | 2019–11 |
| URL: | http://d.repec.org/n?u=RePEc:nbr:nberwo:26510&r=all |
| By: | Miller, Joshua Benjamin (The University of Melbourne) |
| Abstract: | Penney's game is a two player zero-sum game in which each player chooses a three-flip pattern of heads and tails and the winner is the player whose pattern occurs first in repeated tosses of a fair coin. Because the players choose sequentially, the second mover has the advantage. In fact, for any three-flip pattern, there is another three-flip pattern that is strictly more likely to occur first. This paper provides a novel no-arbitrage argument that generates the winning odds corresponding to any pair of distinct patterns. The resulting odds formula is equivalent to that generated by Conway's ``leading number'' algorithm. The accompanying betting odds intuition adds insight into why Conway's algorithm works. The proof is simple and easy to generalize to games involving more than two outcomes, unequal probabilities, and competing patterns of various length. Additional results on the expected duration of Penney's game are presented. Code implementing and cross-validating the algorithms is included. |
| Date: | 2019–03–28 |
| URL: | http://d.repec.org/n?u=RePEc:osf:osfxxx:47u5a&r=all |