Structural equation modeling in archival capital markets research : (Record no. 9571)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01961nam a22002177a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240426132002.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240426b ph ||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | OCT |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Hinson, Lisa |
| 240 ## - UNIFORM TITLE | |
| Uniform title | Journal of Financial Reporting / |
| Medium | Fall 2023 |
| 245 ## - TITLE STATEMENT | |
| Title | Structural equation modeling in archival capital markets research : |
| Remainder of title | An empirical application to disclosure and cost of capital / |
| Statement of responsibility, etc. | Lisa Hinson and Steven Luke |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | Vol 8 (2) pages 87- 130 : |
| Other physical details | illustrations ; |
| Dimensions | 28 cm |
| 500 ## - GENERAL NOTE | |
| General note | ABSTRACT: <br/><br/>Structural equation modeling (SEM), an empirical methodology underutilized in archival research, enables researchers to examine paths linking constructs. SEM consists of two components: a measurement model that generates common factors from observed variables and a path model that links the factors. We discuss SEM'S components, estimation, advantages, best practices, and limitations. We illustrate SEM with an application to disclosure research. Unlike some prior research, we find voluntary disclosure quality is negatively associated With cost of capital, both directly and indirectly through information asymmetry, even after controlling for earnings quality's direct and indirect associations with cost of capital. We believe SEM offers fruitful avenues for future research because it allows flexibility in modeling relations guided by theory, enables tests of underlying theoretical mechanisms, provides tools to address measurement error and missing data, and estimates simultaneous equations.<br/>SEM may be useful in settings that currently use path analysis or principal component analysis.<br/><br/>Data Availability: Data used in this study are available from public sources identified in the paper. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | structural equation modeling |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | voluntary disclosure |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | information asymmetry |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | earnings quality |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | cost of capital |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Luke, Steven |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Continuing Resources |
| Suppress in OPAC | No |
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