Fixed Effects Regression Methods for Longitudinal Data Using SAS

By J. Neuhaus. 2006

601 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/b7856093b5c8c5fd728c89ecb2f0c262d4cab932

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Citations in the corpus

Do foreclosures cause crime (2013, positive): “We believe the hybrid approach suggested by Allison (2005), which algebraically transforms the independent variables”
Bridging Methodological Divides Between Macro- and Microresearch: Endogeneity and Methods for Panel Data (2020, methodology): “, group-mean center) the independent variable and include its group mean as an additional predictor along with the demeaned independent variable (Allison, 2005).”
do instructional practices contribute to inequality in achievement? (2007, methodology): “…on the effects of the instructional variables, we combined the kindergarten and fi rst grade ECLS-K data to estimate a fi xed-effects regression (Allison, 2005) in which the difference in mathematics test score gains between fi rst grade and kindergarten is regressed against the difference in…”
Gender Ideology Construction (2009, background): “Imputing is preferable because auxiliaries for the outcome variable are available (the gender ideology questions from other waves), which yields superior imputations (Allison 2001).”
Can High Schools Reduce College Enrollment Gaps With a New Counseling Model? (2013, methodology): “because it ignores between-unit variation (Allison, 2005).”
Getting on the Front Page: Organizational Reputation, Status Signals, and the Impact of U.S. News and World Report on Student Decisions (2009, methodology): “This technique requires that dummy-coded variables be included for each institution and for each year; in doing so, the model controls for all possible observed and unobserved differences across institutions and years, such as institutional type and institutional control (Allison 2005).”
The FEWS Index: Fixed Effects with a Window Splice (2016, methodology): “We follow Allison (2005) in using it to refer to fitting product-specific (or dwelling-specific, in the case of the housing rentals index) intercepts into the regression model. Allison explains fixed-effects methods as follows: (p2) ... by using [fixed-effects] it is possible to control for all poss”
Examining Racial Disparities in Drug Arrests (2015, background): “The ability to control for unobserved time-stable factors in fixed-effects analysis mimics the ability of randomized experimental designs to control for unobserved factors; however, fixed-effects analyses’ ability is limited to time-stable variables only (Allison, 2005).”
Slack resources, firm performance, and the institutional context: Evidence from privately held European firms (2017, background): “These interactions between time-variant slack and time-invariant national laws show how the effect of slack on firm performance varies with the level of creditor or employee protection (e.g., Allison, 2005).”
Corporate Tax Avoidance and Stock Price Crash Risk: Firm-Level Analysis (2011, positive): “To mitigate potential problems that can arise from correlated omitted variables, we reestimate the logit model in Table 4 using a conditional logistic regression technique that allows us to control for firm fixed effects (Allison, 2005).”
Crowdfunding Creative Ideas: The Dynamics of Project Backers in Kickstarter (2015, methodology): “Based on a Hausman type test (see Allison 2005), fixed-effects models are preferred over random effects models for the Kickstarter data.”