Explaining Global Child Mortality through Econometrics

Author's Notes: Tonight's edition of The Parmeter Politics and Policy Record is a special two-part edition; the first part, examining Florida's House primaries occurring this coming Tuesday, can be found here. I was originally going to publish both articles at the normal hour (8pm Pacific Time), but because of the possibility of rolling blackouts hitting Fresno due to the ongoing heat wave, I published both earlier, at 5:30pm. Note that this publication time change will be temporary. 

While my interests in politics and public policy are mostly domestic (i.e. within the US), I also have a secondary interest in international politics and economics, something I previously had an increased interest in prior to the 2016 (United States) Presidential Election. The following post was an assignment in the same course where I also completed the two domestic consumption regression model posts. In this post, I create econometric models to predict and explain child mortality in the developing and emerging world, including inserting fixed and random effects to control for country-specific results. 

Quantitative Modeling of Domestic Consumption Part 2: Using a Dynamic Model

Author's Notes: Tonight's post will be a continuation of July 2nd's post, where I utilized economic data to generate econometric models to measure domestic consumption. This post was a follow-up course deliverable to the previous post's course deliverable, where I  utilized regular and logged OLS regression on macroeconomic data to model domestic consumption. Tonight's post will not only utilize regular regression once again, but will also introduce a dynamic regression model, which will be created by lagging key explanatory variables to account for time-based trends in the data. 

In addition, I created a public Twitter account, where I will not only share and discuss current events, news articles, and anything that comes up in my life, but will also post updates and announcements regarding this blog. 

Quantitative Modeling of Domestic Consumption

Author's Notes: I apologize for this post coming out one day later than I originally intended, as I had to resolve a last-minute thing that came up. Next week, I will continue on the normal schedule (Wednesday at 9pm EST). 

The following blog post (except for the introduction) was a course deliverable for the Fall 2019 graduate course "Quantitative-Based Methods for Evidence-Based Policies," where constructing econometric models was a key component of class deliverables. In this course deliverable, using domestic economic data provided by the course instructor, I created several regression models to estimate domestic economic consumption.