Let's use a scientific method to pronounce the death penalty for the "lipstick effect". U.S. economic history data does not support the Special Database existence of the "lipstick effect" When investors and the media refer to the "lipstick effect" in the media and entertainment industry, the most common case is the US film industry - there is a saying that during the economic crisis of 1929 and 2008, Hollywood was "a blessing in disguise" and enjoyed the good time. Is Special Database this statement true? Unfortunately, after analyzing data from the last few decades, we concluded that whether or not there has been a "lipstick effect" in history, at least we haven't observed it since the 1980s.
In terms of annual data, US movies and games are strongly cyclical industries First, let's review the general statistics course. To Special Database judge the correlation of two things, regression analysis is the most common tool: take one data as the dependent variable and the other data as the independent variable, if there is a clear linear relationship, it can be said that the two are related. Here, we take U.S. movie box office revenue (and U.S. game industry revenue) as the Special Database dependent variable, and U.S. macroeconomic data (including GDP, resident disposable income, personal consumption expenditures, unemployment, etc.) as the independent variable.
It must be noted that all of our raw data are based on nominal values and are not adjusted for inflation. Since both the Special Database independent and dependent variables contain inflationary factors, they will cancel each other out during the regression analysis. In regression analysis, three metrics are very important: The first is the slope, which reflects the strength of the linear relationship between the two variables. For example, if Y = 0.56X + 16, it means Special Database that for every one unit change in X, Y changes by 0.56 units; the smaller the slope, the less important the linear relationship is.