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Ismir Mulalic

Researcher at Technical University of Denmark

Publications -  57
Citations -  532

Ismir Mulalic is an academic researcher from Technical University of Denmark. The author has contributed to research in topics: Fuel efficiency & Rebound effect (conservation). The author has an hindex of 11, co-authored 54 publications receiving 411 citations. Previous affiliations of Ismir Mulalic include University of Copenhagen & Copenhagen Business School.

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Wages and commuting: quasi-natural experiments' evidence from firms that relocate

TL;DR: This paper examined individual-level compensating differentials for commuting distance in a quasi-natural experiment setting by examining how wages respond to changes in commuting distance induced by firm relocations, and demonstrated that a 1 km increase in commute distance induces an almost negligible wage increase in the year after the relocation but a more substantial wage increase of about 0.15% three years later.
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Measuring the rebound effect with micro data: A first difference approach

TL;DR: In this article, the authors provide estimates of the rebound effect for car transport in Denmark, using a rich data set with individual household data on car use, fuel efficiency, and car as well as household characteristics.
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The determinants of fuel use in the trucking industry - volume, fleet characteristics and the rebound effect

TL;DR: In this article, the authors study the effect of fuel prices on fuel use in the trucking industry in Denmark. And they find that higher fuel prices raise the average capacity of trucks, and they induce firms to invest in newer, typically more fuel efficient, trucks.
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Modelling the relation between income and commuting distance.

TL;DR: In this paper, the authors show that the distribution of commuting distances and its relation to income is broadly distributed with a slow decaying tail that can be fitted by a power law with exponent γ ≈ 3 and an average growing slowly as a power-law with an exponent less than one that depends on the country considered.
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Does improving public transport decrease car ownership? Evidence from a residential sorting model for the Copenhagen metropolitan area

TL;DR: In this paper, the authors developed a model for the simultaneous choice of residential location and car ownership by households, and estimate it on Danish data, paying special attention to accessibility of the metro network.