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Add use cases

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  1. README.md +6 -0
README.md CHANGED
@@ -117,6 +117,12 @@ renaming_dt <- fread("local/path/to/descriptive_names_dict.csv")
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  setnames(RFSD_full, old = renaming_dt$original, new = renaming_dt$descriptive)
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  ```
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  ## FAQ
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  #### Why should I use this data instead of Interfax's SPARK, Moody's Ruslana, or Kontur's Focus?
 
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  setnames(RFSD_full, old = renaming_dt$original, new = renaming_dt$descriptive)
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  ```
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+ ## Use Cases
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+
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+ - ๐ŸŒ For macroeconomists: Replication of a Bank of Russia study of the cost channel of monetary policy in Russia by [Mogiliat et al. (2024)](https://cbr.ru/Content/Document/File/169979/analytic_note_20241114_ddkp.pdf) โ€” [`interest_payments.md`](https://github.com/irlcode/RFSD/blob/master/use_cases/interest_payments.md)
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+ - ๐Ÿญ For IO: Replication of the total factor productivity estimation by [Kaukin and Zhemkova (2023)](https://doi.org/10.18288/1994-5124-2023-5-68-99) โ€” [`tfp.md`](https://github.com/irlcode/RFSD/blob/master/use_cases/tfp.md)
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+ - ๐Ÿ—บ๏ธ For economic geographers: A novel model-less house-level GDP spatialization that capitalizes on geocoding of firm addresses โ€” [`spatialization.md`](https://github.com/irlcode/RFSD/blob/master/use_cases/spatialization.md)
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+
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  ## FAQ
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  #### Why should I use this data instead of Interfax's SPARK, Moody's Ruslana, or Kontur's Focus?