Unit 4 Flashcards
Demand Models w/ & w/o Seasonality
What could a simple demand equation look like?
Q1 = β0 + β1P1 + β2P2 + β3I
Describe the below equation by part:
Q1 = β0 + β1P1 + β2P2 + β3I
Quantity demanded for good 1 (Q1) is a linear function of the price for good 1 (P1), the price for good 2 (P2), and income (I)
In the below equation what are the demand shifters?:
Q1 = β0 + β1P1 + β2P2 + β3I
P2 and I are demand shifters
And there are other factors that are demand shifters such as preferences, health concerns, government policies, etc…
What could a regression model that represents the demand relationship look like?
Q1 = β0 + β1P1 + β2P2 + β3I + ε
In the below equation which variables are dependent (y variable)?:
Q1 = β0 + β1P1 + β2P2 + β3I + ε
Q1
In the below equation which variables are independent (x variable)?:
Q1 = β0 + β1P1 + β2P2 + β3I + ε
P1, P2, and I
T/F: Parameter estimates are interpreted in the same units as the dependent variable(s) and give the rate of change for a one-unit change in the independent variable(s).
True
How does the p-value help determine if something was observed by random chance?
p-value represents the probability that the observed effect could have occurred randomly, assuming the independent variable (x variable) has no impact on the dependent variable (y variable)
Economists typically use a __a__% significance level (p-value < __b__) to decide whether a result is statistically significant.
a) 5%
b) 0.05
What does a p-value of less than 0.05 show?
The coefficient is statistically different from zero and likely has a significant impact on the dependent variable.
Ex: The price of turkey and ones income has more significance on if you will consume turkey, than the price of beef or pork.