Prof. Wolf erforscht die langfristigen wirtschaftlichen und gesellschaftlichen Wurzeln nationaler Identität und politischer Präferenzen, mit aktuellem Fokus auf die Rolle von Propaganda, Bildung und wirtschaftlicher Integration bei der Nationalstaatsbildung im 19. Jahrhundert. Dazu nutzt er historische Datenbanken (etwa zu Außenhandel, Namenswahl, Kapitalakkumulation) und quantitative Methoden, um kausale Zusammenhänge zwischen wirtschaftlichen Strukturen, regionalen Ungleichheiten und politischen Entscheidungen nachzuweisen. Seine Arbeiten zeigen beispielsweise, wie Handelsmuster, Kapitalkonzentration und Arbeiterbewegungen Wahlergebnisse und soziale Spannungen prägten. Für Unternehmen und öffentliche Hand relevant: Verständnis der historischen Determinanten regionaler Disparitäten, der Rolle von Bildung und Infrastruktur bei wirtschaftlicher Integration, sowie der Wechselwirkung zwischen ökonomischen Schocks und politischen Präferenzen — Erkenntnisse, die für Regionalpolitik, Integrationspolitik und Konfliktprävention nutzbar sind.
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Prof. Dr. Nikolaus Wolf
HU-FIS-Profil ↗Deutschlands Außenhandel. Aufbau einer Datenbank im SITC-Standard. ("GerTrade")
other
Macroeconomics and Financial History
foundation
Macroeconomics and Financial History
university
Macroeconomics and Financial History
university
Förderer: DFG Sonderforschungsbereich Zeitraum: 01/2013 - 12/2016 Projektleitung: Prof. Dr. Nikolaus Wolf
Zeitraum: 09/2013 - 08/2017 Projektleitung: Prof. Dr. Nikolaus Wolf
Förderer: DFG Sachbeihilfe Zeitraum: 09/2014 - 12/2017 Projektleitung: Prof. Dr. Nikolaus Wolf
Econometrica · 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.
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 · 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.