Stata 15 help for margins_saving

Title

[R] margins, saving() -- Save margins results to a dataset

Syntax

margins [marginlist] [if] [in] [weight] [, saving(filename, ...) response_options options]

Description

margins, saving() saves a dataset containing the statistics reported in the output.

Remarks

Each observation in the margins, saving() dataset corresponds with a row in the output table.

The following variables are always present:

_deriv identifies the variable that the margin values were differentiated with respect to. The values in _deriv are labeled with the independent variables specified in the dydx() options; otherwise, _deriv contains all missing values. For factor variables, the factor level is contained in the label.

_term identifies the factor variables participating in the marginlist term associated with the estimated margin value. The values in _term are labeled with a list of the names of the factor variables present in the terms specified in marginlist; the grand margin is labeled "_cons".

_predict identifies the predict() option associated with the estimated margin value. The values in _predict are labeled with the predict() option. _predict contains missing values when the expression() option is specified.

The _dta[k_predict] characteristic identifies how many predict() options were specified or implied. This characteristic is empty when the expression() option is specified with an expression that contains more than just a reference to an equivalent predict() option.

_margin contains the estimated margin values.

_se contains the estimated standard errors of the estimated margin values.

_statistic contains the value of the z (or t) statistic for testing the margin values against zero.

_pvalue contains the observed significance level for a two-sided test of the marginal values against zero.

_ci_lb and _ci_ub contain the confidence interval limits for the margin values.

A variable with the _m prefix is present for each unique factor variable specified in marginlist.

_m# contains the levels of the #th unique factor variable in marginlist, identifying the level corresponding with the estimated margin value. _m# is missing if the associated factor variable is not in the list of factor variables corresponding with the term for a given estimated margin value.

The _m#[varname] characteristic identifies the factor variable that _m# corresponds to.

The _dta[margin_vars] characteristic contains the names of the factor variables associated with the _m# variables.

A variable with the _at prefix is present for each unique independent variable in the model when one or more independent variables is fixed because of options atmeans, asbalanced, or at().

_at# contains the value at which the #th independent variable was fixed. For factor variables, _at# contains the .b missing value if the factor variable was treated as balanced. _at# contains the .o missing value if the variable was left as observed.

The _at#[varname] characteristic identifies the independent variable that _at# corresponds to. The _at#[stats] characteristic identifies the statistic at which the variable was set; there is one statistic for each at() option. In addition to the statistics documented with the at() option, the following identifiers are used when one or multiple values are specified in the at() option: value and values.

The _dta[at_vars] characteristic contains the names of the independent variables associated with the _at# variables.

The _dta[k_at] characteristic identifies how many at() options were specified/implied. The _dta[atopt#] characteristic identifies the specification of the #th at() option. The _dta[atstats#] characteristic identifies the specification attached to the variables in the #th at() option.

There will also be an _at variable that identifies groups of margin values associated with patterns in the _at# variables and an _atopt variable that identifies groups of margin values associated with each at() option.

A variable with the _by prefix is present for each variable specified in the over() and within() options.

_by# identifies the group level of the #th grouping variable associated with the estimated margin value.

The _by#[varname] characteristic identifies the group variable that _by# corresponds to.

The _dta[by_vars] characteristic contains the names of the group variables associated with the _by# variables. The _dta[over] characteristic identifies the over() variables, and the _dta[within] characteristic identifies the within() variables.


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