Results 271 to 280 of about 1,465,154 (307)

Cumulative and Marginal Effects Compared

1974
The solution given for the cumulative effects is based on the fact that they have an approximate constant rate of growth when the PFI capital stock (or gross value added) behaves in accordance with the model, i.e. it grows at a constant rate.
H. C. Bos, Martin Sanders, Carlo Secchi
openaire   +1 more source

Marginal Structural Models for Estimating Effect Modification

Annals of Epidemiology, 2009
The use of marginal structural models (MSMs) to adjust for measured confounding factors is becoming increasingly common in observational studies. Here, we propose MSMs for estimating effect modification in observational cohort and case-control studies.MSMs for estimating effect modification were derived by the use of the potential outcome model.
Yasutaka, Chiba, Kenichi, Azuma, Jiro, Okumura   +2 more
openaire   +2 more sources

Effect sizes for contrasts of estimated marginal effects

The Stata Journal: Promoting communications on statistics and Stata, 2022
The statistical literature is replete with calls to report standardized measures of effect size alongside traditional p-values and null hypothesis tests. While effect-size measures such as Cohen’s d and Hedges’s g are straightforward to calculate for t tests, this is not the case for parameters in more complex linear models, where traditional effect ...
openaire   +1 more source

MARGINAL STOCKHOLDER TAX RATES AND THE CLIENTELE EFFECT

The Review of Economics and Statistics, 1970
T HE determination of marginal stockholder tax brackets is an important and unresolved issue in the economic literature. Marginal stockholder tax brackets play an important role in stock valuation models [ 1, 6, 14], in normative investment and dividend policy models [11, 16], and in descriptive capital allocation models [ 7, 8, 10, 12 ].
Elton, Edwin J, Gruber, Martin J
openaire   +1 more source

Identification of Marginal Treatment Effects Using Subjective Expectations

SSRN Electronic Journal
We develop a method to identify the individual latent propensity to select into treatment and marginal treatment effects. Identification is achieved with survey data on individuals' subjective expectations of their treatment propensity and of their treatmentcontingent outcomes.
Briggs, Joseph, Caplin, Andrew, Leth-Petersen, Søren, Tonetti, Christopher   +3 more
openaire   +2 more sources

A Marginal Effects Approach to Interpreting Main Effects and Moderation

Organizational Research Methods, 2022
John R Busenbark, Scott D Graffin, Robert J Campbell   +2 more
exaly  

Using Predictions and Marginal Effects to Compare Groups in Regression Models for Binary Outcomes

Sociological Methods and Research, 2021
Sarah A Mustillo
exaly  

Radiation therapy‐associated toxicity: Etiology, management, and prevention

Ca-A Cancer Journal for Clinicians, 2021
Kyle Wang
exaly  

Is the Marginality Effect all that Marginal?

Social Studies of Science, 1984
openaire   +1 more source

A note on out-of-sample prediction, marginal effects computations, and temporal testing with random parameters crash-injury severity models

Analytic Methods in Accident Research, 2022
Qinzhong Hou, Fred L Mannering
exaly