<p>Thank you for the good discussion so far, and thanks to @amoeba for pointing me to it! I agree with many points raised so far and just want to share a few personal experiences with this topic.</p>

<p><strong>General scope:</strong> I always interpreted the tag <code>[zero-inflation]</code> as being about the <em>phenomenon</em> along with various <em>models</em> for it. Hence, I didn't expect only questions about so-called zero-inflated models but also so-called hurdle models. Due to the close connections between properties of the data and properties of the different models, I prefer a broad tag over several narrower tags.</p>

<p><strong>Count vs. continuous:</strong> While most questions are about count data with zero-inflation, I'm personally quite happy to also have questions about continuous data with zero inflation (point mass), e.g., the tobit model (censored normal) or the Cragg model (hurdle or two-part model: probit + truncated normal). Again, there are many parallels between these continuous and the discrete models, so that we could get useful spillover effects from discussing these topics under the same tag.</p>

<p><strong>Jargon:</strong> Distinguishing "zero-inflation" and "hurdle" into different tags, is not only difficult because the corresponding count regression models are so similar. It is also difficult because jargon is not unified. For example, large parts of the relevant literature talks about "zero-inflated beta regression". However, this is not entirely consistent: The beta distribution does not have any zeros and hence these cannot be inflated. Instead calling it a "two-part" or "zero hurdle" beta regression model would be better. But this is not what the literature does. Hence, we would have difficulties cleanly separating it here.</p>

<p><strong>Recommendation:</strong> My <em>personal</em> preference would be to</p>

<ol>
<li>Use an extended description of the <code>[zero-inflation]</code> tag to say that it is chiefly about count data but also continuous data. And provide references to related tags such as <code>[tobit-regression]</code>.</li>
<li>Additionally create a tag <code>[count-regression]</code> in addition to the existing <code>[count-data]</code> tag. Or alternatively extend the description of the latter tag to include count regression models.</li>
<li>Either omit the <code>[hurdle-model]</code> tag or improve it to explicitly include the term "two-part model" which is more popular for certain kinds of hurdle models.</li>
</ol>

<p>But not all of these preferences are very strong. I could live very well with some of the other solutions posted previously!</p>
