DETERMINANTS OF CAPITAL STRUCTURE CHOICE: A STRUCTURAL EQUATION MODELING APPROACH

By C. Chang, Alice C. Lee, Cheng-Few Lee. 2009

174 citations recorded by the source corpus.

Subfields: Accounting, Finance, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/5ab7095bf0bf558e64134f2411a292b248f1d5ac

How researchers see this paper

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In Accounting

1. Noor Azlinna Azizan
2. Irene Wei Kiong Ting
3. Sujithra Sukumaran
4. R. Bhaskaran

In Finance

1. Noor Azlinna Azizan
2. Irene Wei Kiong Ting
3. Sujithra Sukumaran
4. R. Bhaskaran

In Strategy and Management

1. Noor Azlinna Azizan
2. Irene Wei Kiong Ting
3. Sujithra Sukumaran
4. R. Bhaskaran

Citations in the corpus

• Corporate Social Performance and Firm Performance: Comparative Study among Developed and Emerging Market Firms (2019, background): “Xit represents the control variables, such as advertisement intensity [88], size [89], R&D [90], beta [91], age [92], capex intensity [93], debt equity ratio [94], debt to total assets [95], dividend yield [96], sales growth [97] and management efficiency ratio [98].”
• Co-determination of capital structure and stock returns--A LISREL approach: An empirical test of Taiwan stock markets (2010, unknown): “Chang et al. (2009) apply a Multiple Indicators and Multiple Causes (MIMIC) model to reexamine the same issue as Titman and Wessels did but found more convincing results.”
• Pollution, Shadow Economy and Corruption: Theory and Evidence (2012, unknown): “As Chang et al. (2009) note, “the advantage of structural equation modeling over traditional regression analysis is that it explicitly models measurement errors and can estimate parameters with full information maximum likelihood (FIML), which provides consistent and asymptotically efficient estimat”