Firing Costs and Capital Structure Decisions: Firing Costs and Capital Structure Decisions
By Matthew Serfling. 2016
392 citations recorded by the source corpus.
Subfields: Accounting
View Paper: https://www.semanticscholar.org/paper/ebb61c0480eb51f2497b6ea79a46635954d4db08
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Citations in the corpus
- An empirical investigation of capital structure and firm value in Vietnam (2017, background): “Since the pioneering research of Modigliani and Miller (1958) , researchers have been following and extending their work to develop theories that explain capital structure decisions; most recently Xu (2012) , Faccio and Xu (2015) , Fauver and McDonald (2015) and Serfling (2016) .”
- Cash holdings and labor heterogeneity:the role of skilled labor (2017, positive): “In contrast, WDLs typically pertain to full-time or nonunionized employees (Serfling 2016).”
- The impact of carbon disclosure mandates on emissions and financial operating performance (2020, background): “To examine whether a common pre-treatment trend exists, we follow the literature (Serfling 2016; Bertrand and Mullainathan 2003).”
- Carbon risk and corporate capital structure (2020, positive): “Since the relation between carbon risk and market leverage could be driven by the fluctuation in stock prices rather than the change in financing policies (Welch 2004) and managers typically rely on book leverage to make capital structure decisions (Graham 2003; Serfling 2016), we use book leverage ”
- Employment Protection, Investment, and Firm Growth (2019, methodology): “Following Hanka (1998) and Serfling (2016), we also create a continuous measure of discharges, Decr. in Employees, which equals the one-year percentage decrease in a firm’s number of employees, with employment gains (positive changes) set to zero.”
- Determinants of capital structure in emerging markets: evidence from Vietnam (2017, background): “Recent work also provides evidence on the relationship between costs associated with discharging workers and capital structure decisions (Serfling 2016).”
- Green credit policy and firm performance: What we learn from China (2021, methodology): “To test the parallel trends hypothesis, following Serfling (2016), we define the following 5 variables: y(− 3), y(− 2), y(− 1), y(1), y (2), y(3) and y(4).”