Details about David Kremer

Workplace:

Banque Centrale du Luxembourg (Central Bank of Luxembourg), (more information at EDIRC)

Access statistics for papers by David Kremer.

Last updated 2025-02-14. Update your information in the RePEc Author Service.

Short-id: pkr439

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Working Papers

2025

Using machine learning to aggregate apartment prices: Comparing the performance of different Luxembourg indices Abstract: This paper presents three different methods to estimate an apartment price index or Luxembourg and evaluates their performance by comparing volatility, proneness to revisions, coherence and out-of-sample fit. In addition to the standard hedonic and repeat sales methods, we apply a machine learning algorithm (the interpretable random forest approach) to produce a new index for Luxembourg. The three methods indicate similar trends in residential property prices. The new random forest index closely tracks the two more traditional indices, providing evidence supporting the viability of this new approach. In comparing the three methods, the random forest index is more stable and therefore provides information that is easier to interpret. However, all three methods are subject to revisions when new observations are released and these tend to be larger for the random forest than for traditional indices
BCL working papers, Central Bank of Luxembourg

Journal Articles

2022

L'orientation budgétaire au Luxembourg ("fiscal stance")
BCL Bulletin Analyses, 2022, 2022-2, 11-26

2021

Un indice des prix des appartements au Luxembourg basé sur méthode des ventes répétées
BCL Bulletin Analyses, 2021, 2021-3, 85-97

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Page updated 2025-03-23