Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| National Bureau of Economic Research | 391 | — | 0 | 840 | 796 94.8% |
| study | 167 | — | 0 | 215 | 187 87% |
| NBER | 130 | — | 0 | 241 | 224 92.9% |
| working paper | 107 | — | 0 | 129 | 125 96.9% |
| paper | 86 | — | 0 | 109 | 104 95.4% |
| here | 74 | — | 0 | 238 | 234 98.3% |
| research | 58 | — | 0 | 67 | 57 85.1% |
| new study | 49 | — | 0 | 58 | 56 96.6% |
| National Bureau of Economic Research (NBER) | 48 | — | 0 | 60 | 53 88.3% |
| studies | 36 | — | 0 | 39 | 36 92.3% |
| 35 | — | 0 | 773 | 768 99.4% | |
| NBER Working Paper | 32 | — | 0 | 63 | 63 100% |
| NBER working paper | 29 | — | 0 | 53 | 51 96.2% |
| found | 28 | — | 0 | 35 | 35 100% |
| new paper | 26 | — | 0 | 29 | 28 96.6% |
| recent study | 25 | — | 0 | 25 | 24 96% |
| analysis | 24 | — | 0 | 25 | 24 96% |
| NBER Digest | 24 | — | 0 | 50 | 50 100% |
| Research | 23 | — | 0 | 25 | 25 100% |
| report | 20 | — | 0 | 20 | 17 85% |
| NBER WP | 16 | — | 0 | 32 | 32 100% |
| by the National Bureau of Economic Research (NBER) | 15 | — | 0 | 15 | 15 100% |
| recent paper | 15 | — | 0 | 20 | 20 100% |
| a study | 15 | — | 0 | 18 | 17 94.4% |
| https://www.nber.org/research/business-cycle-dating | 15 | — | 0 | 15 | 15 100% |
| www.nber.org | 15 | — | 0 | 36 | 35 97.2% |
| nber.org | 14 | — | 0 | 28 | 25 89.3% |
| defines | 13 | — | 0 | 13 | 13 100% |
| link | 13 | — | 0 | 21 | 21 100% |
| evidence | 12 | — | 0 | 17 | 17 100% |
| Link | 12 | — | 0 | 17 | 16 94.1% |
| November | 12 | — | 0 | 13 | 13 100% |
| a paper | 11 | — | 0 | 12 | 11 91.7% |
| Studies | 11 | — | 0 | 12 | 11 91.7% |
| NBER paper | 11 | — | 0 | 69 | 11 15.9% |
| research shows | 10 | — | 0 | 11 | 11 100% |
| The National Bureau of Economic Research | 10 | — | 0 | 10 | 9 90% |
| new research | 10 | — | 0 | 11 | 10 90.9% |
| étude | 10 | — | 0 | 13 | 13 100% |
| Another study | 10 | — | 0 | 13 | 11 84.6% |
| new working paper | 10 | — | 0 | 11 | 10 90.9% |
| NBER Working Papers | 9 | — | 0 | 101 | 101 100% |
| @SEO_CARTEL IN TELEGRAM - SEO BACKLINKS, BULK LINK POSTING, BOOST SEO RANKING | 9 | — | 0 | 13 | 0 0% |
| 3.1% cumulative reduction in productivity | 9 | — | 0 | 9 | 9 100% |
| 8 | — | 0 | 11 | 9 81.8% | |
| one study | 8 | — | 0 | 9 | 9 100% |
| shows | 8 | — | 0 | 8 | 7 87.5% |
| https://www.nber.org/digest/may18/working-longer-can-sharply-raise-retirement-income | 8 | — | 0 | 8 | 8 100% |
| A recent study | 8 | — | 0 | 11 | 11 100% |
| National Bureau for Economic Research | 7 | — | 0 | 7 | 6 85.7% |
Frequently Asked Questions
What anchor texts are used to link to nber.org?
This page shows all anchor texts found in backlinks pointing to nber.org, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe nber.org.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does nber.org have?
The anchor text report for nber.org displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.