The hurdle model: Analysing the influence of country characteristics on participation in IPSASB’s due process

References

• ACCA. (2017). IPSAS Implementation: Current status and challenges.
   Google Scholar
• Arens, A. M., Gaher, R. M., Simons, J. S., & Dvorak, R. D. (2014). Child maltreatment and deliberate self-harm: A negative binomial hurdle model for explanatory constructs. Child Maltreatment, 19(3-4), 168–177. doi: 10.1177/1077559514548315
   PubMed Web of Science ®Google Scholar
• Bethell, J., Rhodes, A. E., Bondy, S. J., Lou, W. W., & Guttmann, A. (2010). Repeat self-harm: Application of hurdle models. The British Journal of Psychiatry, 196(3), 243–244. doi: 10.1192/bjp.bp.109.068809
   PubMed Web of Science ®Google Scholar
• Bhaktha, N. (2018). Properties of hurdle negative binomial models for zero-inflated and overdispersed count data. Ohio State University.
   Google Scholar
• Bilgic, A., & Florkowski, W. (2007). Application of hurdle negative binomial count data model to demand for black bass fishing in the southeastern United States. Journal of Environmental Management, 83(4), 478–490. doi: 10.1016/j.jenvman.2006.10.009
   PubMed Web of Science ®Google Scholar
• Bisogno, M., Santis, S., & Tommasetti, A. (2015). Public-sector consolidated financial statements: An analysis of the comment letter on IPSASB’s Exposure Draft No. 49. International Journal of Public Administration, 38(4), 311–324. doi: 10.1080/01900692.2015.999605
   Web of Science ®Google Scholar
• Bouten, L., Everaert, P., & Roberts, W. (2012). How a two-step approach discloses different determinants of voluntary social and environmental reporting. Journal of Business Finance & Accounting, 39(5), 567–605. doi: 10.1111/j.1468-5957.2012.02290.x
   Web of Science ®Google Scholar
• Central Intelligence Agency. (2019). The World factbook. https://www.cia.gov/library/publications/the-world-factbook/fields/2098.html
   Google Scholar
• Cragg, J. G. (1971). Some statistical models for limited dependent variables with application to the demand for durable goods. Econometrica. Journal of the Econometric Society, 5, 829–844. doi: 10.2307/1909582
   Web of Science ®Google Scholar
• De Wolf, A., & Christiaens, J. (2020). Het consultatieproces van de IPSASB : Een blik op de Europese participatie. Accountancy & Bedrijfskunde, 2020(12), 115–126.
   Google Scholar
• De Wolf, A., Christiaens, J., & Aversano, N. (2020). Heritage assets in the due process of the International Public Sector Accounting Standards Board (IPSASB). Public Money & Management. DOI: 10.1080/09540962.2020.1727114
   Web of Science ®Google Scholar
• Dobler, M., & Knospe, O. (2016). Constituents’ formal participation in the IASB’s due process: New insights into the impact of country and due process document characteristics. Journal of Governance and Regulation, 5(3), 50–66. doi: 10.22495/jgr_v5_i3_p6
   Google Scholar
• Durocher, S., & Fortin, A. (2011). Practitioners’ participation in the accounting standard-setting process. Accounting Business Research, 41(1), 29–50. doi: 10.1080/00014788.2011.549635
   Web of Science ®Google Scholar
• Education First. (2018). EF English Proficiency Index (Report). https://www.ef.com/wwen/epi/
   Google Scholar
• Eisenschmidt, K., & Krasodomska, J. (2017). Insights into the IASB due process: The influence of country characteristics on constituents’ formal participation. Zeszyty Teoretyczne Rachunkowości, 95(151), 117–145.
   Google Scholar
• EY Government and Public Sector. (2012). Overview and comparison of public accounting and auditing practices in the 27 EU member states. Eurostat. https://ec.europa.eu/eurostat/documents/1015035/4261806/study-on-public-accounting-and-auditing-2012.pdf/5ad43e2b-2ba7-4b05-afab-d690fc2ad9dd
   Google Scholar
• Gilbert, J. R., Jayne, T. S., & Chirwa, E. (2011). Subsidies and crowding out: A double-hurdle model of fertilizer demand in Malawi. American Journal of Agricultural Economics, 93(1), 26–42. doi: 10.1093/ajae/aaq122
   Web of Science ®Google Scholar
• Grossi, G., & Soverchia, M. (2011). European Commission adoption of IPSAS to reform financial reporting. Abacus, 47, 525–552. doi: 10.1111/j.1467-6281.2011.00353.x
   Web of Science ®Google Scholar
• Gurmu, S., & Trivedi, P. K. (1996). Overdispersion tests for truncated Poisson regression models. Journal of Econometrics, 54(1-3), 347–370. doi: 10.1016/0304-4076(92)90113-6
   Google Scholar
• Hofstetter, H., Dusseldorp, E., Zeileis, A., & Schuller, A. A. (2016). Modeling caries experience: Advantages of the use of the hurdle model. Caries Research, 50(6), 517–526. doi: 10.1159/000448197
   PubMed Web of Science ®Google Scholar
• Hu, M. C., Pavlicova, M., & Nunes, E. V. (2011). Zero-inflated and hurdle models of count data with extra zeros: Examples from an HIV-risk reduction intervention trial. The American Journal of Drug and Alcohol Abuse, 37(5), 367–375. doi: 10.3109/00952990.2011.597280
   PubMed Web of Science ®Google Scholar
• Huian, M. C. (2013a). Analysis of the constituents’ participation in the development of the 1st phase of IFRS–9—financial instruments. Annals of the “Constantin Brâncus University of Târgu Jiu, Economy Series, 1, 209–216.
   Google Scholar
• Huian, M. C. (2013b). Stakeholders’ participation in the development of the new accounting rules regarding the impairment of financial assets. Business Management Dynamics, 2(9), 23–35.
   Google Scholar
• IFAC. (2019). Organization list by country. https://www.ifac.org/about-ifac/membership/member-organizations-and-country-profiles.
   Google Scholar
• IPSASB. (2009). https://www.ipsasb.org/consultations-projects/ipsasb-completedprojects
   Google Scholar
• IPSASB. (2016). https://www.ifac.org/system/files/uploads/IPSASB/IPSASB-Fact-Sheet-June-2016-2.pdf
   Google Scholar
• IPSASB. (2016a). Due process and working procedures (Report). https://www.ifac.org
   Google Scholar
• IPSASB. (2018). https://www.ipsasb.org/about-ipsasb
   Google Scholar
• Jones, A. M. (1989). A double-hurdle model of cigarette consumption. Journal of Applied Econometrics, 4(1), 23–39. doi: 10.1002/jae.3950040103
   Web of Science ®Google Scholar
• Jones, A. M. (1992). A note on computation of the double-hurdle model with dependence with an application to tobacco expenditure. Bulletin of Economic Research, 44(1), 67–74. doi: 10.1111/j.1467-8586.1992.tb00507.x
   Google Scholar
• Jorissen, A., Lybaert, N., Orens, R., & Van der Tas, L. (2012). Formal participation in the IASB’s due process of standard setting: A multi-issue/multi-period analysis. European Accounting Review, 21(4), 693–729. doi: 10.1080/09638180.2010.522775
   Web of Science ®Google Scholar
• Jorissen, A., Lybaert, N., Orens, R., & Van der Tas, L. (2013). A geographic analysis of constituents’ formal participation in the process of international accounting standard setting: Do we have a level playing field? Journal of Accounting and Public Policy, 32(4), 237–270. doi: 10.1016/j.jaccpubpol.2013.04.005
   Web of Science ®Google Scholar
• Larson, R. K., & Herz, P. J. (2013). A multi-issue/multi-period analysis of the geographic diversity of IASB comment letter participation. Accounting in Europe, 10(1), 99–151. doi: 10.1080/17449480.2013.772716
   Google Scholar
• Lowensohn, S., & Kidwell, L. A. (2019). Participation in the process of setting public sector accounting standards: The case of IPSASB. Accounting in Europe, 16(2), 177–194. doi: 10.1080/17449480.2019.1632466
   Web of Science ®Google Scholar
• Manes Rossi, F., & Aversano, N. (2015). Advancing performance measurement: Italian local government vis-à-vis IPSASB project. International Journal of Productivity and Performance Management, 64(1), 76–93. doi: 10.1108/IJPPM-07-2013-0134
   Google Scholar
• Mellado-Bermejo, L., & Esteban, L. P. (2014). An exploratory study of countries participation intensity in comment-letters: lease accounting proposal. http://www.aeca1.org/xviencuentroaeca/cd/59a.pdf
   Google Scholar
• Miller, J. M. (2007). Comparing poisson, hurdle, and ZIP model fit under varying degrees of skew and zero-inflation. University of Florida.
   Google Scholar
• Mullahy, J. (1986). Specification and testing of some modified count data models. Journal of econometrics, 33(3), 341–365. doi: 10.1016/0304-4076(86)90002-3
   Web of Science ®Google Scholar
• Newman, C., Henchion, M., & Matthews, A. (2003). A double-hurdle model of Irish household expenditure on prepared meals. Applied Economics, 35(9), 1053–1061. doi: 10.1080/0003684032000079170
   Web of Science ®Google Scholar
• Richardson, A. J., & Eberlein, B. (2011). Legitimating transnational standard-setting: The case of the International Accounting Standards Board. Journal of Business Ethics, 98, 217–245. doi: 10.1007/s10551-010-0543-9
   Web of Science ®Google Scholar
• Saffari, S. E., Adnan, R., & Greene, W. (2012). Hurdle Negative Binomial Regression Model with Right Censored Count Data. Statistics and Operations Research Transactions, 36(2), 181–194.
   Web of Science ®Google Scholar
• Standish, P. (2003). Evaluating national capacity for direct participation in international accounting harmonization: France as a test case. Abacus, 39(2), 186–210. doi: 10.1111/1467-6281.00126
   Google Scholar
• Suchman, M. (1995). Managing legitimacy: Strategic and institutional approaches. Academy of Management Review, 20, 571–610. doi: 10.2307/258788
   Web of Science ®Google Scholar
• United Nations. (2019). http://www.un.org/en/member-states/
   Google Scholar
• Van Ophem, H. (2011). The frequency of visiting a doctor: Is the decision to go independent of the frequency? Journal of Applied Econometrics, 26(5), 872–879. doi: 10.1002/jae.1252
   Web of Science ®Google Scholar
• Wingard, C., Bosman, J., & Amisi, A. (2016). The legitimacy of IFRS: An assessment of the influences on the due process of standard-setting. Meditari Accountancy Research, 24(1), 134–156. doi: 10.1108/MEDAR-02-2014-0032
   Web of Science ®Google Scholar
• World Bank. (2019). GDP per capita. https://data.worldbank.org/indicator/NY.GDP.PCAP.CD
   Google Scholar
• Yen, S. T. (1999). Gaussian versus count-data hurdle models: Cigarette consumption by women in the US. Applied Economics Letters, 6(2), 73–76. doi: 10.1080/135048599353663
   Web of Science ®Google Scholar
• Yen, S. T., & Jones, A. M. (1997). Household consumption of cheese: An inverse hyperbolic sine double-hurdle model with dependent errors. American Journal of Agricultural Economics, 79(1), 246–251. doi: 10.2307/1243958
   Web of Science ®Google Scholar
• Zeileis, A., Kleiber, C., & Jackman, S. (2008). Regression models for count data in R. Journal of Statistical Software, 27(8), 1–25. doi: 10.18637/jss.v027.i08
   Web of Science ®Google Scholar
• Zorn, C. J. W. (1996). Evaluating zero-inflated and hurdle poisson specifications. Midwest Political Science Association: 1-16.
   Google Scholar