2013
DOI: 10.1111/j.1540-5850.2013.12017.x
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Assessing the Relationship Between Objective and Subjective Measures of Fiscal Condition Using Government‐Wide Statements

Abstract: Government Accounting Standards Board (GASB) Statement 34 has been in effect for a decade yet there is limited research examining government‐wide financial reporting data. This study builds on our ability to delve into the fiscal condition of Wisconsin counties during the Great Recession. The principal aims of the research are: (1) expand on works utilizing GASB 34 reporting requirements; (2) report on county administrators perceptions of fiscal condition; and (3) examine the relationship between subjective an… Show more

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Cited by 18 publications
(12 citation statements)
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“… It is important to note that these responses are based on perceptions and not actual financial condition (see Maher and Deller 2011, 2013). …”
mentioning
confidence: 99%
“… It is important to note that these responses are based on perceptions and not actual financial condition (see Maher and Deller 2011, 2013). …”
mentioning
confidence: 99%
“…First, more studies are needed on how the Great Recession impacted capital spending in local government, which was clearly described by Bates and Santerre (2015) in response to studies that relied on subnational financial data rather than sub-state financial data. Second, very few studies beyond the work of Maher and Deller (2013) and Ross et al (2015) have responded to the research call made by Wallace (2000) on exploring the utility of government-wide financial statements.…”
Section: Hypotheses Data and Methodologymentioning
confidence: 99%
“…Maher and Deller (2013) delved into the financial condition of Wisconsin counties during the Great Recession. The authors calculated five fiscal indicators for governmental, business-type and total activities for 55 of the 72 counties in Wisconsin.…”
Section: Previous Studiesmentioning
confidence: 99%
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“…Other literature on GASB 34 primarily relates to uses and effects of the general reporting model, rather than the infrastructure data specifically: this includes the use of GASB 34 for financial condition evaluation (Chaney et al , 2002; Johnson et al , 2012; Maher and Deller, 2013; Plummer et al , 2007; Pridgen and Mark, 2013; Wang et al , 2007), and the effects of GASB 34 on credit ratings and the cost of bond insurance (Benson and Marks, 2014; Johnson et al , 2012; Plummer et al , 2007; Pridgen and Mark, 2013). Surveys and case studies have found limited use of GASB 34 by public officials in decision making (International City/County Management Association (ICMA), 2013; Frank and Gianakis, 2010; Lu, 2007).…”
Section: Literature Reviewmentioning
confidence: 99%