Prof. Dr. Nikolaus Wolf
Profil
Zusammenfassung
Prof. Wolf erforscht die langfristigen wirtschaftlichen und sozialen Auswirkungen von politischen Grenzen, historischen Ereignissen und regionalen Unterschieden. Seine Expertise liegt in der quantitativen Analyse historischer Daten zu Handel, Stadtentwicklung und Industriestandorten, um zu verstehen, wie politische Entscheidungen, geografische Faktoren und kulturelle Unterschiede wirtschaftliche Muster prägen. Diese Fähigkeiten sind für Unternehmen relevant, die regionale Märkte, Standortentscheidungen oder die Auswirkungen von politischen Veränderungen auf Wirtschaftsstrukturen bewerten müssen.
Skills
Stammdaten
Identität, Organisation und Kontakt aus HU-FIS.
Forschungsthemen9
Deutschlands Außenhandel. Aufbau einer Datenbank im SITC-Standard. ("GerTrade")
Quelle ↗Förderer: DFG Sachbeihilfe Zeitraum: 01/2025 - 12/2027 Projektleitung: Prof. Dr. Nikolaus Wolf
Die Struktur und Dynamik des deutschen Außenhandels von 1880 bis 1912
Quelle ↗Förderer: DFG Sachbeihilfe Zeitraum: 09/2014 - 12/2017 Projektleitung: Prof. Dr. Nikolaus Wolf
Macroeconomics and Financial History
Quelle ↗Zeitraum: 09/2013 - 08/2017 Projektleitung: Prof. Dr. Nikolaus Wolf
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Publikationen25
Top 25 nach Zitationen — Quelle: OpenAlex (BAAI/bge-m3 embedded für Matching).
Econometrica · 694 Zitationen · DOI
This paper develops a quantitative model of internal city structure that features agglomeration and dispersion forces and an arbitrary number of heterogeneous city blocks. The model remains tractable and amenable to empirical analysis because of stochastic shocks to commuting decisions, which yield a gravity equation for commuting flows. To structurally estimate agglomeration and dispersion forces, we use data on thousands of city blocks in Berlin for 1936, 1986 and 2006 and exogenous variation from the city’s division and reunification. We estimate substantial and highly localized production and residential externalities. We show that the model with the estimated agglomeration parameters can account both qualitatively and quantitatively for the observed changes in city structure. We show how our quantitative framework can be used to undertake counterfactuals for changes in the organization of economic activity within cities in response for example to changes in the transport network.
217 Zitationen
A central prediction of a large class of theoretical models is that industry location is not necessarily uniquely determined by fundamentals. In these models, historical accident or expectations determine which of several steady-state locations is selected. Despite the theoretical prominence of these ideas, there is surprisingly little systematic evidence on their empirical relevance. This paper exploits the combination of the division of Germany after the Second World War and the reuni…cation of East and West Germany as an exogenous shock to industry location. We focus on a particular economic activity and establish that division caused a shift of Germany’s air hub from Berlin to Frankfurt and there is no evidence of a return of the air hub to Berlin after reuni…cation. We develop a body of evidence that the relocation of the air hub is not driven by a change in economic fundamentals but is instead a shift between multiple steady-states.
National Bureau of Economic Research · 111 Zitationen · DOI
This paper develops a quantitative model of internal city structure that features agglomeration and dispersion forces and an arbitrary number of heterogeneous city blocks. The model remains tractable and amenable to empirical analysis because of stochastic shocks to commuting decisions, which yield a gravity equation for commuting flows. To structurally estimate agglomeration and dispersion forces, we use data on thousands of city blocks in Berlin for 1936, 1986 and 2006 and exogenous variation from the city's division and reunification. We estimate substantial and highly localized production and residential externalities. We show that the model with the estimated agglomeration parameters can account both qualitatively and quantitatively for the observed changes in city structure. We show how our quantitative framework can be used to undertake counterfactuals for changes in the organization of economic activity within cities in response for example to changes in the transport network.
Kooperationen9
Bestätigte Forscher↔Partner-Paare aus HU-FIS — Gold-Standard-Positive für das Matching.
Macroeconomics and Financial History
foundation
Macroeconomics and Financial History
university
Macroeconomics and Financial History
university