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Research Master Thesis Project

Maastricht University research thesis project aiming to quantify differences in the banking competition publications, between central bank and university economists.

Current dataset consists of 69 economic articles, of which:

  • 15 are affiliated to various central banks (authors are employed by CB)
  • 54 are written by university or public organisations researchers

Methods used:

  • Natural Language Processing

    • Cosine similarity
    • Hierarchical clustering
    • Topic models: Latent Semantic Indexing
    • K-means clustering on LSI components
  • Reported statistics analysis

    • reviewing reported p-values and t-statistics to determine if Central Bank researcher show tendency to commit Type II Error more frequently

Competition models covered:

  • Panzar-Rosse: H-static

Reported statistics analysis

Statistics distributions

P-values distribution T-statistics distribution

H-statistics overview

H-statistics box

K-means on LSA components

  • ∇ correspond to central bank paper
  • Colours show corresponding class

Kmeans LSA

Heatmap using cosine similarity on tfidf vector pairs

Cosine similarity

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