Computation of Standard Errors
Objectives: We discuss the problem of computing the standard errors of functions involving estimated parameters and provide the relevant computer code for three different computational approaches using two popular computer packages. Study Design: We show how to compute the standard errors of several...
| Main Authors: | , , |
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| Format: | Journal Article |
| Published: |
Blackwell Publishing Inc.
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/51437 |
| _version_ | 1848758697089564672 |
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| author | Dowd, B. Greene, William Norton, E. |
| author_facet | Dowd, B. Greene, William Norton, E. |
| author_sort | Dowd, B. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Objectives: We discuss the problem of computing the standard errors of functions involving estimated parameters and provide the relevant computer code for three different computational approaches using two popular computer packages. Study Design: We show how to compute the standard errors of several functions of interest: the predicted value of the dependent variable for a particular subject, and the effect of a change in an explanatory variable on the predicted value of the dependent variable for an individual subject and average effect for a sample of subjects. Empirical Application: Using a publicly available dataset, we explain three different methods of computing standard errors: the delta method, Krinsky–Robb, and bootstrapping. We provide computer code for Stata 12 and LIMDEP 10/NLOGIT 5. Conclusions: In most applications, choice of the computational method for standard errors of functions of estimated parameters is a matter of convenience. However, when computing standard errors of the sample average of functions that involve both estimated parameters and nonstochastic explanatory variables, it is important to consider the sources of variation in the function's values. |
| first_indexed | 2025-11-14T09:48:06Z |
| format | Journal Article |
| id | curtin-20.500.11937-51437 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:48:06Z |
| publishDate | 2014 |
| publisher | Blackwell Publishing Inc. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-514372018-03-29T09:08:25Z Computation of Standard Errors Dowd, B. Greene, William Norton, E. Objectives: We discuss the problem of computing the standard errors of functions involving estimated parameters and provide the relevant computer code for three different computational approaches using two popular computer packages. Study Design: We show how to compute the standard errors of several functions of interest: the predicted value of the dependent variable for a particular subject, and the effect of a change in an explanatory variable on the predicted value of the dependent variable for an individual subject and average effect for a sample of subjects. Empirical Application: Using a publicly available dataset, we explain three different methods of computing standard errors: the delta method, Krinsky–Robb, and bootstrapping. We provide computer code for Stata 12 and LIMDEP 10/NLOGIT 5. Conclusions: In most applications, choice of the computational method for standard errors of functions of estimated parameters is a matter of convenience. However, when computing standard errors of the sample average of functions that involve both estimated parameters and nonstochastic explanatory variables, it is important to consider the sources of variation in the function's values. 2014 Journal Article http://hdl.handle.net/20.500.11937/51437 10.1111/1475-6773.12122 Blackwell Publishing Inc. restricted |
| spellingShingle | Dowd, B. Greene, William Norton, E. Computation of Standard Errors |
| title | Computation of Standard Errors |
| title_full | Computation of Standard Errors |
| title_fullStr | Computation of Standard Errors |
| title_full_unstemmed | Computation of Standard Errors |
| title_short | Computation of Standard Errors |
| title_sort | computation of standard errors |
| url | http://hdl.handle.net/20.500.11937/51437 |