1 |
Mustapha, S. A., & Enilolobo, O. S. (2019). Effects of gambling on the welfare of Nigerian youths: A case study of Lagos state. Journal of Gambling Issues, 43, 29-44. http://doi.org/10.4309/jgi.2019.43.3
DOI
|
2 |
Nuti, S. V., Wayda, B., Ranasinghe, I., Wang, S., Dreyer, R. P., Chen, S. I., & Murugiah, K. (2014). The use of Google Trends in health care research: A systematic review. PLOS One, 9(10), e109583. https://doi.org/10.1371/journal.pone.0109583
DOI
|
3 |
Nyman, J. A. (2004). A theory of demand for gambles. Minnesota: University of Minnesota.
|
4 |
Pravichai, S., & Ariyabuddhiphongs, V. (2015). Superstitious beliefs and problem gambling among Thai lottery gamblers: The mediation effects of number search and gambling intensity. Journal of Gambling Studies, 31, 1633-1649. https://doi.org/10.1007/s10899-014-9517-7
DOI
|
5 |
Research Centre for Social and Business Development. (2018). A 2017 survey report on gambling situations, behaviors, and harms in Thailand. Bangkok: Faculty of Economics, Chulalongkorn University.
|
6 |
Shakur, E. S. A., As'at, N. H., Aziz, N., Abdullah, S. S., & Rasid N. H. A. (2020). Determining unemployment factors among job-seeking youth in the East Coast of Peninsular Malaysia. Journal of Asian Finance, Economics, and Business, 7(12), 565-576. https://doi.org/10.13106/jafeb.2020.vol7.no12.565
DOI
|
7 |
Sharpe, L., & Tarrier, N. (1993). Towards a cognitive-behavioral theory of problem gambling. British Journal of Psychiatry, 162(3), 407-412. https://doi.org/10.1192/bjp.162.3.407
DOI
|
8 |
Swanson, N. R., & Granger, C. W. J. (1997). Impulse response functions based on a causal approach to residual orthogonalization in vector autoregression. Journal of the American Statistical Association, 92(437), 357-367. https://doi.org/10.1080/01621459.1997.10473634
DOI
|
9 |
Teramoto, R., Saito, C., & Funahashi, S. (2014). Estimating causal effects with a non-paranormal method for the design of efficient intervention experiments. BMC Bioinformatics, 15, 228. https://doi.org/10.1186/1471-2105-15-228
DOI
|
10 |
Abbott, D. A., Cramer, S. L., & Sherrets, S. D. (1995). Pathological gambling and the family: Practice implications. Families in Society, 76(4), 213-219. https://doi.org/10.1177%2F104438949507600402
DOI
|
11 |
Albers, N., & Hubl, L. (1997), Gambling market and individual patterns of gambling in Germany. Journal of Gambling Studies, 13, 125-144. https://doi.org/10.1023/A:1024999217889
DOI
|
12 |
Manprasert, S. (2014). The study of gambling behavior in Thailand. NIDA Economic Review, 8(1), 35-72. http://econ-test.nida.ac.th/components/com_booklibrary/ebooks/2.pdf
|
13 |
Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4175), 1124-1131. https://doi.org/10.1126/science.185.4157.1124
DOI
|
14 |
Vongsinsirikul, V. (2012). Understanding the impact of gambling with special reference to Thailand. [Unpublished doctoral dissertation]. Birmingham Business School, University of Birmingham.
|
15 |
Komonpaisarn, T. (2020). The social cost of gambling in Thailand. Bangkok: Chulalongkorn University.
|
16 |
Langham, E., Throne, H., Browne, M., Donaldson, P., Rose, J., & Rockloff, M. (2016). Understanding gambling-related harm: A proposed definition, conceptual framework, and taxonomy of harms. BMC Public Health, 16, 80. https://doi.org/10.1186/s12889-016-2747-0
DOI
|
17 |
Lee, J. W., & Brahmasrene, T. (2019). Long-run and short-run causality from exchange rates to the Korea composite stock price index. Journal of Asian Finance, Economics, and Business, 6(2), 257-267. https://doi.org/10.13106/jafeb.2019.vol6.no2.257
DOI
|
18 |
Khanthavit, A. (2019). Causality of weather effects on stock returns and volatility. Human Behavior, Development, and Society, 20(2), 29-40. https://so01.tci-thaijo.org/index.php/hbds/article/view/162024
|
19 |
Walker, D. M., & Sobel, R. S. (2016). Social and economic impacts of gambling. Current Addiction Reports, 3, 293-298. https://doi.org/10.1007/s40429-016-0109-8
DOI
|
20 |
Toneatto, T., Blitz-Miller, T., Calderwood, K., Dragonetti, R., & Tsanos, A. (1997). Cognitive distortions in heavy gambling. Journal of Gambling Studies, 13, 253-266. https://doi.org/10.1023/A:1024983300428
DOI
|
21 |
Wardle, H., Reith, G., Best, D., McDaid, D, & Platt, S. (2018). Measuring gambling-related harms: A framework for action. Birmingham: Gambling Commission.
|
22 |
Williams, R. J., Volberg, R. A., Stevens, R. M. G., Williams, L. A., & Arthur, J. N. (2017). The definition, dimensionalization, and assessment of gambling participation. Canada: Canadian Consortium for Gambling Research.
|
23 |
Yuliadi, I. (2020). An analysis of money supply in Indonesia: Vector Autoregressive (VAR) approach. Journal of Asian Finance, Economics, and Business, 7(7), 241-249. https://doi.org/10.13106/jafeb.2020.vol7.no7.241
DOI
|
24 |
Volberg, R. A. (2004). Fifteen years of problem gambling prevalence research: What do we know? Where do we go? Journal of Gambling Issues, 10, 54-81. http://doi.org/10.4309/jgi.2004.10.12
DOI
|
25 |
Changpetch, P. (2017). Gambling consumers in Thailand. Asian Social Science, 13(5), 136-143. https://doi.org/10.5539/ass.v13n5p136
DOI
|
26 |
Research Centre for Social and Business Development. (2020). A 2019 survey report on gambling situations, behaviors, and harms in Thailand: Situations in the provinces. Bangkok: Faculty of Economics, Chulalongkorn University, Bangkok.
|
27 |
Awokuse, T. O., Chopra, A., & Bessler, D. A. (2009). Structural change and international stock market interdependence: Evidence from Asian emerging markets. Economic Modelling, 26(3), 549-559. https://doi.org/10.1016/j.econmod.2008.12.001
DOI
|
28 |
Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. In D. Marks (Ed.), The health psychology reader (pp. 94-106). Englewood Cliff, NJ: Prentice-Hall.
|
29 |
Cakici, M., Cakici, E., & Karaaziz, M. (2015). A lifetime of prevalence and risk factors of the problem and pathologic gambling in North Cyprus. Journal of Gambling Studies, 32(1), 11-23. https://doi.org/10.1007/s10899-015-9530-5
DOI
|
30 |
Casino.org. (2021). Global industry in recent years. https://www.casino.org/features/gambling-statistics/#:~:text=World
|
31 |
Chun, J. S., Cho, S., Chung, I., & Kim, S. (2011). The economic and psychological impact of problem gambling in South Korea. Asian Journal of Gambling Issues and Public Health, 2(1), 29-38. https://doi.org/10.1186/BF03342123
DOI
|
32 |
Coleman, L. (2021). Global gambling statistics & facts 2021. https://gamblingngo.com/guides/gambling-stats-facts/
|
33 |
Hofmarcher, T., Romild, U., Spangberg, J., Persson, U., & Hakansson, A. (2020). The societal costs of problem gambling in Sweden. BMC Public Health, 20, 1921. https://doi.org/10.1186/s12889-020-10008-9
DOI
|
34 |
Ladouceur, R., Boisvert, J., Pepin, M., Loranger, M., & Sylvain, C. (1994). Social cost of pathological gambling. Journal of Gambling Studies, 10, 349-409. https://doi.org/10.1007/BF02104905
DOI
|
35 |
Lutkepohl, H. (2005). A new introduction to multiple time series analysis. Berlin: Springer. https://doi.org/10.1007/978-3-540-27752-1
|
36 |
Boreham, P., Dickerson, M., & Harley, B. (1996). What are the social costs of gambling? The case of the Queensland machine gaming industry. Australian Journal of Social Issues, 31(4), 425-442. https://doi.org/10.1002/j.1839-4655.1996.tb01288.x
DOI
|
37 |
Castren, S., Basnet, S., Pankakoski, M., Ronkainen, J., Helakorpi, S., Uutela, A., & Lahti, T. (2013). An analysis of problem gambling among the Finnish working-age population: A population survey. BMC Public Health, 13, 519. https://doi.org/10.1186/1471-2458-13-519
DOI
|
38 |
Enders, W. (1995). Applied Econometrics Time Series. New York, NY: John Wiley & Sons.
|
39 |
Harrison, G. W., Lau, M. I., & Ross, D. (2020). The risk of gambling problems in the general population: A reconsideration. Journal of Gambling Studies, 36, 1133-1159. https://doi.org/10.1007/s10899-019-09897-2
DOI
|
40 |
Arge, E. F., & Kristjansson, S. (2015). The effects of unemployment on gambling behavior in Iceland: Are gambling rates higher in unemployed populations? Reykjavik, University of Iceland.
|
41 |
Productivity Commission. (1999). Australia's gambling industries, report no. 10. Canberra: AusInfo.
|
42 |
Merton, R. K. (1938). Social structure and anomie. American Sociological Review, 3(5), 672-682. https://doi.org/10.2307/2084686
DOI
|
43 |
Naccarato, A., Falorsi, S., Loriga, S., & Pierini, A. (2018). Combining official and Google Trends data to forecast the Italian youth unemployment rate. Technological Forecasting and social change, 130, 114-122. https://doi.org/10.1016/j.techfore.2017.11.022
DOI
|
44 |
Pavlicek, J., & Kristoufek, L. (2015). Nowcasting unemployment rates with Google searches: Evidence from the Visegrad Group countries. PLOS One, 10(5), e0127084. https://doi.org/10.1371/journal.pone.0127084
DOI
|
45 |
Spirtes, P., & Glymour, C. (1991). An algorithm for fast recovery sparse causal graphs. Social Science Computer Review, 9(1), 62-72. https://doi.org/10.1177%2F089443939100900106
DOI
|
46 |
Volberg, R. A. (2007). Population surveys. In: G. Smith, D. C. Hodgins, & R. J. Williams (Eds). Research and measurement issues in gambling studies (pp. 33-55). Burlington, MA: Elsevier.
|
47 |
Wanjohi, M. U. (2012). Influence of unemployment on youth gambling in Nairobi, Kenya [Unpublished master's research project]. Department of Sociology, University of Nairobi.
|
48 |
Pearl, J. (2000). Causality. Cambridge, UK: Cambridge University Press.
|
49 |
Scott, R. M. (2017). Religion, prosperity, and lottery lore: The linkage of new religious networks to gambling practices in Thailand. In J. Koning & G. Njoto-Feillard (Eds.), New religiosities, modern capitalism, and moral complexities in Southeast Asia (pp. 232-245). London: Palgrave Macmillan.
|
50 |
Muggleton, N., Parpart, P., Newall, P., Leake, D., Gathergood, J., & Stewart, N. (2021). The association between gambling and financial, social, and health outcomes in big financial data. Nature Human Behaviour, 5, 319-326. https://doi.org/10.1038/s41562-020-01045-w
DOI
|
51 |
Herman, R. D. (1967). Gambling as work: A sociological of the racetrack. In R. D. Herman (Ed.), Gambling (pp. 87-104). New York, NY: Harper & Row.
|
52 |
Williams, R. J., Volberg, R. A., & Stevens, R. M. G. (2012). The population prevalence of problem gambling: Methodological influences, standardized rates, jurisdictional differences, and worldwide trends. Canada: The Ontario Problem Gambling Research Centre & The Ontario Ministry of Health and Long-Term Care.
|
53 |
Zivot, E., & Wang, J. (2006). Vector autoregressive models for multivariate time series: Modeling Financial time series with S-Plus® (2nd ed.). New York: Springer.
|
54 |
McConkey, C. W., & Warren, W. E. (1987). Psychographic and demographic profiles of state lottery ticket purchasers. Journal of Consumer Affairs, 21(2), 314-327. https://doi.org/10.1111/j.1745-6606.1987.tb00205.x
DOI
|
55 |
Wannathepsakul, N. (2011). The economics of underground lottery: A perspective of gambling business on socio-economic development. Bangkok: Chulalongkorn University.
|
56 |
Diebold, F. X. (2007). Elements of forecasting (4th ed.). Cincinnati: South-Western. Retrieved from
|
57 |
Glymour, C., Scheines, R., Spirtes, P., & Ramsey, J. (2004). TETRAD-IV new Manual. www.phil.cmu.edu/projects/tetrad_download/files/new_manual.pdf
|
58 |
Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438. https://doi.org/10.2307/1912791
DOI
|
59 |
Hodgins, D. C., Stea, J. N., & Grant, J. E. (2011). Gambling disorders. Lancet, 378(9806), 1874-1884. https://doi.org/10.1016/s0140-6736(10)62185-x
DOI
|
60 |
Conner, T. W., & Taggart, W. A. (2009). The impact of gaming on the Indian nations in New Mexico. Social Science Quarterly, 90(1), 50-70. https://doi.org/10.1111/j.1540-6237.2009.00602.x
DOI
|