Limited Dependent Variable Model

AbstractThis study investigates the determinants of crawfish consumption in South Louisiana using a generalized limited dependent variable model that accounts for both participation and consumption decisions. Income, Catholic, white, and household size increase the likelihood of crawfish consumption but not the conditional level of consumption. Education and employment status are among the other household characteristics that determine the conditional level of consumption.

Download Full-text

An Analysis of the Effectiveness of Supplemental Instruction: The Problem of Selection Bias and Limited Dependent Variables

Journal of College Student Retention Research Theory & Practice ◽

10.2190/486t-mhvc-cg0c-rm3b ◽

2003 ◽

Vol 5 (2) ◽

pp. 235-243 ◽

Cited By ~ 6

Author(s):

Tyler J. Bowles ◽

Jason Jones

Keyword(s):

Regression Models ◽

Supplemental Instruction ◽

Single Equation ◽

Simultaneous Equation ◽

Academic Ability ◽

Variable Model ◽

Limited Dependent Variable ◽

Limited Dependent Variables ◽

Dependent Variables ◽

Endogenous Variables

Single equation regression models have been used rather extensively to test the effectiveness of Supplemental Instruction (SI). This approach, however, fails to account for the possibility that SI attendance and the outcome of SI attendance are jointly determined endogenous variables. Moreover, the standard approach fails to account for the fact that these two endogenous variables are categorical. This article presents and applies a simultaneous equation, limited dependent variable model of SI effectiveness. Our analysis suggests that results from applying this type of model may differ markedly from the traditional statistical models applied in SI research. Specifically, our results suggest that students with below average academic ability are more likely to attend SI and that common measures of student ability included in single equation models fail to adequately control for this characteristic. Therefore, single equation OLS models may underestimate SI effectiveness.

Download Full-text

A limited dependent variable model under median rationality

Economics Letters ◽

10.1016/s0165-1765(97)00033-5 ◽

1997 ◽

Vol 54 (3) ◽

pp. 221-225

Author(s):

Myoung-jae Lee

Keyword(s):

Variable Model ◽

Limited Dependent Variable

Download Full-text

Determinantes dos Custos de Transação no Mercado de Ações no Brasil

Brazilian Review of Finance ◽

10.12660/rbfin.v10n2.2012.3536 ◽

2012 ◽

Vol 10 (2) ◽

pp. 179

Author(s):

Antonio Zoratto Sanvicente

Keyword(s):

Corporate Governance ◽

Variable Model ◽

Cross Sectional ◽

Stock Volatility ◽

Limited Dependent Variable ◽

Transactions Cost ◽

Daily Data ◽

Cost Differences ◽

Relevant Factors

The Lesmond (2005) method for estimating transactions costs, based on a limited-dependent variable model, is used in order to test for the significance of plausible explanations for cross sectional cost differences. Variables such as liquidity, volatility, firm size, quality of corporate governance and participation in ADR programs are considered, in addition to the possible impact of the 2008 crisis. Daily data for 1999-2009 are used, covering at least 250 securities each year. The average total transaction cost declined from 2.95% in 1999 to 1.22% in 2009. Stock volatility and quality of corporate governance appear to be the most relevant factors associated with the measure of transactions cost.

Download Full-text