Casey M. Schwab

1.6k total citations · 1 hit paper
28 papers, 1.1k citations indexed

About

Casey M. Schwab is a scholar working on Accounting, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Casey M. Schwab has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Accounting, 17 papers in Economics and Econometrics and 4 papers in Strategy and Management. Recurrent topics in Casey M. Schwab's work include Corporate Taxation and Avoidance (23 papers), Auditing, Earnings Management, Governance (18 papers) and Taxation and Compliance Studies (16 papers). Casey M. Schwab is often cited by papers focused on Corporate Taxation and Avoidance (23 papers), Auditing, Earnings Management, Governance (18 papers) and Taxation and Compliance Studies (16 papers). Casey M. Schwab collaborates with scholars based in United States and Canada. Casey M. Schwab's co-authors include Alexander Edwards, Terry Shevlin, Sarah E. Nutter, Lillian F. Mills, Benjamin C. Ayers, Bridget Stomberg, Steven Utke, Brian Bratten, Ross Jennings and Erin Towery and has published in prestigious journals such as The Accounting Review, Accounting Organizations and Society and Contemporary Accounting Research.

In The Last Decade

Casey M. Schwab

28 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Financial Constraints and Cash Tax Savings

2015 436 citations Alexander Edwards, Casey M. Schwab et al. The Accounting Review profile →

Peers

Casey M. Schwab

ACCOU

EE

SM

FINAN

MIS

Alexander Edwards Canada

Leslie A. Robinson United States

Agnes W. Y. Lo Hong Kong

Jung‐Chin Shen France

George A. Plesko United States

Cécile Carpentier Canada

Linda K. Krull United States

Nikolaos Daskalakis Greece

Imants Paeglis Canada

Benjamin C. Ayers United States

Alexander Edwards Canada

Casey M. Schwab

898 ×0.8

ACCOU

643 ×0.9

EE

133 ×0.7

SM

61 ×1.0

FINAN

16 ×0.6

MIS

Citations per year, relative to Casey M. Schwab Casey M. Schwab (= 1×) peers Alexander Edwards

Countries citing papers authored by Casey M. Schwab

Since Specialization

Citations

This map shows the geographic impact of Casey M. Schwab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Casey M. Schwab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Casey M. Schwab more than expected).

Fields of papers citing papers by Casey M. Schwab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Casey M. Schwab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Casey M. Schwab. The network helps show where Casey M. Schwab may publish in the future.

Co-authorship network of co-authors of Casey M. Schwab

This figure shows the co-authorship network connecting the top 25 collaborators of Casey M. Schwab. A scholar is included among the top collaborators of Casey M. Schwab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Casey M. Schwab. Casey M. Schwab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Schwab, Casey M., et al.. (2022). Tax Avoidance of Loss Firms. SSRN Electronic Journal. 1 indexed citations

2.

Schwab, Casey M., et al.. (2021). What Determines ETRs? The Relative Influence of Tax and Other Factors. SSRN Electronic Journal. 1 indexed citations

3.

Schwab, Casey M., Bridget Stomberg, & Brian Williams. (2021). Effective Tax Planning. The Accounting Review. 97(1). 413–437. 22 indexed citations

4.

Schwab, Casey M., et al.. (2021). What Determines Effective Tax Rates? The Relative Influence of Tax and Other Factors*†. Contemporary Accounting Research. 39(1). 459–497. 32 indexed citations

5.

Schwab, Casey M., et al.. (2019). Extreme ETRs: When Effective Tax Rates Capture Something Other than Tax Avoidance. SSRN Electronic Journal. 2 indexed citations

6.

Schwab, Casey M., et al.. (2019). How do IRS Resources Affect the Corporate Audit Process?. The Accounting Review. 95(2). 311–338. 58 indexed citations

7.

Dhaliwal, Dan S., et al.. (2016). The Incidence, Valuation, and Management of Tax-Related Reputational Costs: Evidence from Negative Media Attention During Periods Characterized by High Scrutiny of Corporate Tax Avoidance. SSRN Electronic Journal. 4 indexed citations

8.

Bratten, Brian, Ross Jennings, & Casey M. Schwab. (2015). The Accuracy of Disclosures for Complex Estimates: Evidence from Reported Stock Option Fair Values. SSRN Electronic Journal. 4 indexed citations

9.

Edwards, Alexander, Casey M. Schwab, & Terry Shevlin. (2015). Financial Constraints and Cash Tax Savings. The Accounting Review. 91(3). 859–881. 436 indexed citations breakdown →

10.

Bratten, Brian, Ross Jennings, & Casey M. Schwab. (2015). The accuracy of disclosures for complex estimates: Evidence from reported stock option fair values. Accounting Organizations and Society. 52. 32–49. 23 indexed citations

11.

Ayers, Benjamin C., Casey M. Schwab, & Steven Utke. (2014). Noncompliance with Mandatory Disclosure Requirements: The Magnitude and Determinants of Undisclosed Permanently Reinvested Earnings. The Accounting Review. 90(1). 59–93. 47 indexed citations

12.

Edwards, Alexander, Casey M. Schwab, & Terry Shevlin. (2013). Financial Constraints and the Incentive for Tax Planning. SSRN Electronic Journal. 31 indexed citations

13.

Ayers, Benjamin C., Andrew C. Call, & Casey M. Schwab. (2013). Do Analysts’ Cash Flow Forecasts Encourage Managers to Enhance Real Cash Flows? Evidence from Tax Planning. SSRN Electronic Journal. 2 indexed citations

14.

Ayers, Benjamin C., Andrew C. Call, & Casey M. Schwab. (2013). Do Analysts’ Cash Flow Forecasts Encourage Managers to Enhance Real Cash Flows? Evidence from Tax Planning. SSRN Electronic Journal. 4 indexed citations

15.

Bratten, Brian, Ross Jennings, & Casey M. Schwab. (2013). The Effect of Using a Lattice Model to Estimate Reported Option Values. Contemporary Accounting Research. 32(1). 193–222. 16 indexed citations

16.

Campbell, John L., Dan S. Dhaliwal, Linda K. Krull, & Casey M. Schwab. (2013). The Valuation Consequences of U.S. Multinational Corporations' Foreign Cash Holdings. SSRN Electronic Journal. 15 indexed citations

17.

Bratten, Brian, Ross Jennings, & Casey M. Schwab. (2011). The Effect of Using a Lattice Model to Estimate Reported Option Values. SSRN Electronic Journal. 7 indexed citations

18.

Ayers, Benjamin C., Stacie Kelley Laplante, & Casey M. Schwab. (2011). Does Tax Deferral Enhance Firm Value?. SSRN Electronic Journal. 16 indexed citations

19.

Mills, Lillian F., Sarah E. Nutter, & Casey M. Schwab. (2011). The Effect of Political Sensitivity and Bargaining Power on Taxes: Evidence from Federal Contractors. SSRN Electronic Journal. 119 indexed citations

20.

Schwab, Casey M.. (2009). The determinants and effects of voluntary book-tax difference disclosures : evidence from earnings press releases. Texas ScholarWorks (Texas Digital Library). 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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