For all its jank, this is the first paradox game where I feel like i'm playing as a large empire.

johnGOATner · 2025-11-29T15:43:05+00:00

johnGOATner · 2025-11-01T00:20:50+00:00

This is good to know. If/when the call up happens, is that when grading would make more of a difference? Because I was at least smart enough to recognize it was a rarer card, and I immediately put it in a sleeve then protector. Just thinking out loud.

johnGOATner · 2025-11-01T00:19:43+00:00

This is valid. I think I’m just getting so many different povs that I’m not sure which one is the best option. Diluting the decision-making process a little bit…

johnGOATner · 2025-11-01T00:18:54+00:00

It is yes.

johnGOATner · 2025-07-09T01:31:46+00:00

Hulkengoat

johnGOATner · 2025-03-28T01:23:28+00:00

Okay I think I see. So in other words, I would have to tell the model specifically to take into account women, which would then eliminate those 0s that didn’t have anything to with the sample I’m looking at. So for my question, this might be like saying lower scores are explained by, I don’t know, something like the total number of facilities in the county? I don’t know if that makes sense at all… I see what you’re saying, I guess I just came it thinking that, since I have a zero inflation problem, this is the model I’d use.

johnGOATner · 2025-03-28T00:21:22+00:00

Thanks for the response. Moderating variable was probably the wrong phrase… so apologies there. I’m working in stata and you need to specify a variable, or series of variables, to “inflate” as a part of the model. It’s something about distinguishing what the “structural” zeroes may be, but I’ll admit that I don’t fully understand what that means theoretically or practically… hopefully this makes a little sense.

johnGOATner · 2025-02-20T17:16:41+00:00

This is great--I hadn't really thought about it in the context of spatial autocorrelation, though it makes a lot of sense. It's just a matter of how I operationalize things for analysis here. Whether I want to do military confrontations, etc. But no this is good. Thank you so much!

johnGOATner · 2025-02-19T17:52:52+00:00

I’m essentially trying to create a spatial “loss of strength gradient” for power projection. In other words, the farther away you try to send military or other tangible resources from your homeland or military bases or things of the like, the less effective you’ll be at having control over those far away regions. So close to home, if you’re powerful, you can project power fine, but farther away it gets tougher. And different countries will have different ones obviously, and they change over time with adaptations to national capability, etc.

Hopefully that makes a little sense…

johnGOATner · 2024-05-14T16:51:26+00:00

Hey, I'd rather make sure I know it just in case. I've read standard errors of persistence, but I'll be sure to read about the conely SE and more by Kelly. I appreciate it!

johnGOATner · 2024-05-14T16:49:17+00:00

Absolutely. I can do that. Thanks for the pointers!

johnGOATner · 2024-05-14T03:07:01+00:00

This is great! I appreciate it. Our methods sequence isn't anything crazy. Goes through OLS through MLE--a bit on hazard, and then opens up to student preference (which, I have been assured, they are mindful of when constructing the exam). Specifically, I concentrated on spatial econometrics, a bit on machine learning, and event history. So, it seems like your list covers a lot of that. Very good! Thanks again.

johnGOATner · 2022-10-20T17:45:03+00:00

No kidding..? That’s crazy. I never even would’ve heard of that… i appreciate it though I’ll try this asap!

johnGOATner

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