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    [OC] Der „Corporate Shield“ ist selektiv: Wie sich die Unternehmensgröße auf die Work-Life-Balance von Arbeitern und Angestellten auswirkt

    [OC] Der „Corporate Shield“ ist selektiv: Wie sich die Unternehmensgröße auf die Work-Life-Balance von Arbeitern und Angestellten auswirkt

    Von holmess2013

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    4 Kommentare

    1. holmess2013 on

      **The Finding:** I analyzed 2024 Census data to see if big companies actually provide better work-life balance. The results show a „Professional Class Shield“: moving to a massive corporation (1000+ employees) drops schedule unpredictability for **Accountants** to a perfect 0.0 Hours IQR.

      However, for **Warehouse Workers**, the shield fails. Their schedules actually become *more* chaotic at large firms compared to small mom-and-pop shops (IQR jumps from 6.5 to 8.0). Interestingly, **Software & Data Professionals** seem immune to company size entirely, maintaining a stable 40-hour week regardless of where they work.

      **Methodology & Data:**

      * **Source:** 2024 CPS ASEC (March Supplement) from the US Census Bureau and BLS.
      * **Cost of Living:** Salaries were adjusted using the **2024 Regional Price Parities (RPP)** index to ensure an apples-to-apples comparison across different US geographies.
      * **Data Cleaning:** I filtered for primary careers by excluding any adjusted annual salaries under **$20,000** to remove part-time/seasonal outliers.
      * **Metric:** Used **Interquartile Range (IQR)** for weekly hours worked to measure schedule predictability.
      * **Tools:** Python (Pandas/Requests) for data processing; Matplotlib for the visualizations.

      **Full Write-up & Source Code:**

      * [Substack Article](https://samholmes285.substack.com/p/does-the-size-of-your-company-actually)
      * [GitHub Repo (Data + Python)](https://github.com/holmess2013/Beyond_The_Tribe/tree/main/Does_the_size_of_your_company_actually_dictate_work-life_balance)

    2. ChronicCactus on

      Am I reading this graph wrong, or is there a significant proportion of „warehouse workers“ making over $100,000 a year?

    3. naturian on

      Nice graph aesthetic but I feel it not doing the best job at portraying the data. I think the variable of interest (hour worked or even better, interquantike range of that) should be y axis, and company size the x axis. The color axis should be salary as it is a confounding variable. I know it won’t show the „shield“ format but it would showcase the relationship better

    4. FightOnForUsc on

      I think this is a flawed premise. So almost every software and data professional is an exempt salaried employee (meaning yes “full time” is defined as 40 hours but we know nothing of how much they actually work). I’d say probably the same of most accountants. Meaning the company wants them to work as many hours as possible but is going to claim it’s 40 hours and just pays whatever the salary is.

      Warehouse workers are far more likely to be hourly. So if they work over 40 hours they’ll be paid overtime (in most cases) and not only do they have the overtime it’s actually tracked.

      Basically I think the underlying data is flawed unless you’re only looking at non-exempt employees

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