Layoffs have been sadly common in recent years which made me wonder if there’s some seasonality factors behind it as I felt like most companies wouldn’t want the bad press during the winter holiday times. I was able to extract the data by different industries as I know some industries have peak seasons (ex: Education has low demand in the summer months and Retail right after Black Friday peak shopping season). I also used Median instead of average as there are spikes in the data due to Financial Recessions and the Pandemic. I feel like Hospitality can vary by region and then Finance seems to do most of their involuntary departures in January and August.
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What’s a Seasonality Coefficient:
The seasonality coefficient is like a measure of relative activity at different times, such as enjoying ice cream more in the summer months than the winter months. It helps us see if there’s a pattern in preferences over time. A seasonality coefficient of 1 means it’s perfectly average. A seasonality coefficient of 2 means the activity is twice as high as an average month versus a seasonality coefficient of 0.5 means it’s half the typical month.
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Layoffs have been sadly common in recent years which made me wonder if there’s some seasonality factors behind it as I felt like most companies wouldn’t want the bad press during the winter holiday times. I was able to extract the data by different industries as I know some industries have peak seasons (ex: Education has low demand in the summer months and Retail right after Black Friday peak shopping season). I also used Median instead of average as there are spikes in the data due to Financial Recessions and the Pandemic. I feel like Hospitality can vary by region and then Finance seems to do most of their involuntary departures in January and August.
​
What’s a Seasonality Coefficient:
The seasonality coefficient is like a measure of relative activity at different times, such as enjoying ice cream more in the summer months than the winter months. It helps us see if there’s a pattern in preferences over time. A seasonality coefficient of 1 means it’s perfectly average. A seasonality coefficient of 2 means the activity is twice as high as an average month versus a seasonality coefficient of 0.5 means it’s half the typical month.