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Ezekiel A. Nichols

May God's blessing be upon you. This website has my musings about Catholicism, Economics and my interests in general. I am a PhD economist with varied interests. I have recently entered into coal mining as I resigned from my academic positions in the fall and decided I needed spiritual growth and a more physical job. It's my first week on the job. My favorite part is the drop into the mine as it's 2,500 ft straight down and completely pitch black until you hit the bottom. At the bottom the lights shine bright as they reflect the light off the limestone rock dust coating the walls of the mine. I love it so far and it's much less stress. It is however dangerous as there's always a chance the mine can have an explosion and cave in at any time. I haven't delt with something prone to exploding and caving in since my grad school girlfriend and I broke up. 

Things I don't have to deal with in the coal mine:

1. Alabama attorneys with PhD's that deal/use illegal drugs

2. Other Alabama attorneys that deal/use illegal drugs

3. Regions bank managers that deal/use illegal drugs

4. Corrupt Federal Law Enforcement

Things I do have to deal with in the mine:

1. Risk of death (Luckily I have my dog tag on my belt to identify my body if it's mangled).

2. Risk of serious bodily injury, the thing can explode and cave in at any time.

3.Hazing, I'm new, all the new guys get it, today getting off the lift I found belt chained to the wall. (Very funny guys).

4. Falling Rocks.

5. Dust.

6. Derails (these are a pain in the rear when you have to jack your car back up and get it back on the rails).

7. Nicotine poisoning, (everybody chews or uses nicotine pouches two 8mg pouches is too many)​

Drug life and conspiracies have one thing in common: “In the long run you always get caught.”

The Functional Form of Cocaine Trafficking Seizures (I'll post it at some point, when I'm ready why I'm not posting it now, well my thoughts on that are classified. The parameters of the model are, leaving one out: Predictors: NetGrams>0.1, drop null potency, drop potency > 100, calculate count and total net grams. The model to forecast seizures >5,000 grams and 50% potency. Picking the date cut off is extremely important to get the best model (date omitted here). The model is a VAR in log differences of NetGrams and Count of small seizures, Quarterly M1 currency average, Quarterly Unemployment, Quarterly GDP.  

SVAR and the Colombian Exchange Rate

SVARs and the DEA

The Blessedness of the Holy Spirit

Milton Friedman's Theory of Drug Potency

Making Rice Wine

Atheism is for the Birds

Abortion Destroys

Forecasting Methamphetamine Seizures

Suicide

Racism and the Death Penalty

Illicit Drug Data

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©2023 by Catholic Economist. Humbly created Dr. Ezekiel Nichols

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