Python代写 | Personal Consumptions Expenditures Assignment
本次美国代写主要为Python时间序列相关的assignment
Dataset description:
PCE: Personal consumptions expenditures is the primary measure of consumer spending on goods and services in the US economy. This accounts for 2/3 of domestic spending and this is the primary engine that drives future economic growth https://www.bea.gov/resources/methodologies/nipa-handbook/pdf/chapter-05.pdf
AHE: Average hourly earnings is reported in dollars per hour and is reported monthly
PCEPI Personal consumptions expenditures price index is a measure of the average increase in prices for all domestic personal consumption. A major inflationary measure in the United States
Part 1 – 20 pts Exploratory Data Analysis
Part 2 – 40 pts Granger Causality
Part 3 – 40 pts VARMA modeling
8 pts What is the advantage of this VAR model? What would ARIMA or prophet models on this dataset look like, if we were asked to forecast AHE?