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LIMDEP is an econometric and statistical software package with a variety of estimation tools. In addition to the core econometric tools for analysis of cross sections and time series, LIMDEP supports methods for panel data analysis, frontier and efficiency estimation and discrete choice modeling. The package also provides a programming language to allow…
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Explore the main themes, entities and connections around LIMDEP. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
See the strongest relationship patterns around the current topic before diving into the raw triples.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| LIMDEP | Developers | Econometric Software, Inc. | 1.00 | infobox |
| LIMDEP | License | proprietary software | 1.00 | infobox |
| LIMDEP | Operating system | Windows | 1.00 | infobox |
| LIMDEP | Original author | William H. Greene | 1.00 | infobox |
| LIMDEP | Stable release | 11 / September 7, 2016 | 1.00 | infobox |
| LIMDEP | Type | statistical analysis econometric analysis | 1.00 | infobox |
| LIMDEP | Website | www.limdep.com | 1.00 | infobox |
| LIMDEP | is a | econometric and statistical software package with a variety of estimation tools | 0.90 | text |
| CSV | instance of | Data are input via standard ASCII formats | 0.80 | text |
| DIF | instance of | Data are input via standard ASCII formats | 0.80 | text |
| rectangular ASCII | instance of | Data are input via standard ASCII formats | 0.80 | text |
| as well as XLS | instance of | Data are input via standard ASCII formats | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.