Month: February 2017

To measure how consumption of a good measures with income, I decided to use a time-series approach. The variables I utilized were gasoline/energy consumption as well as disposable income in the United States over the past thirty years. I considered

After doing research on different goods, I decided to examine the relationship between cigarette consumption and disposable personal income.  For my model, I gathered data on real disposable personal income per capita from FRED and cigarette consumption per capita from

For my project, I chose to evaluate the effect of Gross Domestic Income on personal consumption expenditures for alcoholic beverages purchased for off-site consumption between 1950 and 2015, at an annual frequency. Both data sets were set to an index

For my Aggregate Engel Curve assignment, I ran OLS test to see if National Real GDP per capita has a significant impact on consumption spending of gambling. I was originally going to use a cross sectional data analysis, but gambling

I chose to compare quarterly changes in Real Disposable Income measured in billions of chained 2009 dollars and changes in Real Personal Consumption Expenditure of Non-Durable Goods between 1/1/1991 and 12/1/2016. Following includes my time-series regression, its respective Engel Curve,

Sam Felling The consumption of water and the effects income has on these consumption levels across the 50 states intrigued me and as such I decided to focus my SAS assignment on estimating this Engel curve. The consumption of water

For my SAS regression, I chose the following variables: RGDP per Capita (RGDP per capita) stated in dollar terms Overall United States gasoline consumption (overall gas consumption) stated in thousand barrels Consumer Price Index (CPI Index) Average nominal price of

In an attempt to create an Engel curve for alcohol consumption, I collected state-level, cross-sectional data for the United States in 2007 on income by state (INCTHi) and alcohol consumption (ALCi). I chose 2007 because it was a trough for

  I gathered data on “Disposable Personal Income” and “Personal consumption expenditures: Laundry and dry cleaning services” from the Saint Louis Fed’s online database, FRED. Both data series were annual data from 1959 to 2015 and were in nominal terms

  The Engel Curve is a measure that relates income to expenditures on a specific good or service. For this project, I chose to measure how changes in income affect health care expenditures. Conventional wisdom led me to believe that