Feedback

HEC-Ecole de gestion de l'Université de Liège
HEC-Ecole de gestion de l'Université de Liège
MASTER THESIS

A Lost Productivity Potential? Firm-Level Evidence on Measuring Misallocation in the German Manufacturing Sector (2014-2022)

Download
Surray, Patricia ULiège
Promotor(s) : Walheer, Barnabé ULiège
Date of defense : 1-Sep-2025/5-Sep-2025 • Permalink : http://hdl.handle.net/2268.2/24309
Details
Title : A Lost Productivity Potential? Firm-Level Evidence on Measuring Misallocation in the German Manufacturing Sector (2014-2022)
Translated title : [fr] UN POTENTIEL DE PRODUCTIVITÉ PERDU? DONNÉES AU NIVEAU DES ENTREPRISES SUR LA MESURE DE LA MAUVAISE ALLOCATION DANS LE SECTEUR MANUFACTURIER ALLEMAND (2014-2022)
Author : Surray, Patricia ULiège
Date of defense  : 1-Sep-2025/5-Sep-2025
Advisor(s) : Walheer, Barnabé ULiège
Committee's member(s) : Osikominu, A 
Language : English
Number of pages : 89
Keywords : [en] Productivity
[en] Misallocation
[en] Firm-Level Data
[en] Germany
[en] Capital Distortions
[en] Labour Market Rigidities
[en] TFPR
[en] Sectoral Analysis
[en] D24
[en] E23
[en] L11
[en] O47
Discipline(s) : Business & economic sciences > Microeconomics
Research unit : Confidential Data from the Reserach Data and Service Center from the Deutsche Bundesbank (Microdata, Firm-Level), German Federal Office of Statistics (Destatis)
Name of the research project : A LOST PRODUCTIVITY POTENTIAL ? FIRM-LEVEL EVIDENCE ON MEASURING MISALLOCATION IN THE GERMAN MANUFACTURING SECTOR (2014-2022)
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en sciences économiques, orientation générale, à finalité spécialisée en economic, analysis and policy
Faculty: Master thesis of the HEC-Ecole de gestion de l'Université de Liège

Abstract

[en] This thesis investigates the development and determinants of allocative efficiency in the German manufacturing sector from 2014 to 2022. The primary objective is to quantify the extent and dynamics of factor misallocation and assess its consequences for productivity. To achieve this, harmonized firm-level data from the JANIS microdata panel of the Deutsche Bundesbank are combined with national accounts from the German Federal Office of Statistics.
The analysis employs three complementary approaches: the misallocation framework of Hsieh & Klenow (2009), the Olley–Pakes (1996) decomposition, and input-specific markup estimation following Raval (2023). The results demonstrate a marked increase in revenue-based total factor productivity (TFP) dispersion—particularly for the marginal revenue product of capital and labour—since 2017, with a sharp spike during the COVID-19 pandemic.
Concurrently, the correlation between firm productivity and market share has weakened, signaling a decline in the effectiveness of reallocative productivity gains. Input-specific markup estimates further indicate that the pandemic has distorted not only capital markets but also labour and material markets.
These findings underscore the need for targeted economic policy measures to reduce input-specific misallocation and to strengthen the reallocation of productive resources. Overall, the thesis contributes empirical evidence to the literature on misallocation and informs the ongoing debate on evidence-based industrial policy in Germany, that there is indeed a lost productivity potential.


File(s)

Document(s)

File
Access Master_Thesis_SURRAY_PATRICIA.pdf
Description:
Size: 5.37 MB
Format: Adobe PDF

Author

  • Surray, Patricia ULiège Université de Liège > Mast. scienc. éc. or. gén. fin. spéc. ec. an. pol.

Promotor(s)

Committee's member(s)

  • Osikominu, A








All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.