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<title>Diskussionsbeiträge Jahrgang 2024</title>
<link>https://refubium.fu-berlin.de/handle/fub188/42530</link>
<description/>
<pubDate>Mon, 27 Apr 2026 03:01:23 GMT</pubDate>
<dc:date>2026-04-27T03:01:23Z</dc:date>
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<title>A needs-based framework for approximating decisions and well-being</title>
<link>https://refubium.fu-berlin.de/handle/fub188/42524</link>
<description>A needs-based framework for approximating decisions and well-being
Krecik, Markus
Behavioral economics has so far largely avoided discussing the psychological&#13;
origins of preferences, as well as their relation to needs. This has not only&#13;
restricted interdisciplinary exchange, but also significantly limits the predictive&#13;
capabilities of models. For example, the revealed preference approach can only&#13;
reliably predict repeating choices, while needing large amounts of observations&#13;
for calibration.&#13;
In this paper, I show how unifying preferences with the psychological concept&#13;
of needs strengthens economic models, by developing a decision-making&#13;
framework for well-being assessment and choice prediction. To present the direct&#13;
merit of this approach, I show how this framework yields a systematic&#13;
approximation scheme, which is able to solve limitations of current approaches&#13;
by describing new alternatives, non-repeating choices, or otherwise unobservable&#13;
desires. Meanwhile, the approximation scheme requires less observations&#13;
on an individual level than current approaches.&#13;
I achieve this by constructing a hierarchical dependency between human&#13;
motivations and preferences through the language of needs. I show the basic&#13;
feasibility of the approximation scheme through simulations on random populations. &#13;
In practice, the framework is applicable in situations where individuals exert&#13;
choices only once and measuring preferences is expensive, like evaluating policy&#13;
proposals or predicting decisions under technological change
</description>
<pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://refubium.fu-berlin.de/handle/fub188/42524</guid>
<dc:date>2024-01-01T00:00:00Z</dc:date>
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<title>An organizational theory of unionization</title>
<link>https://refubium.fu-berlin.de/handle/fub188/45833</link>
<description>An organizational theory of unionization
Prummer, Anja; Squintani, Francesco
Motivated by the recent surge in union drives, we present a theoretical model of the&#13;
factors that influence unionization. An employee seeking to unionize their workplace&#13;
assembles organizers to persuade coworkers to vote in favor. If unionization benefits&#13;
workers, it is more likely to succeed when the organizers are credible. Credibility&#13;
depends on the organizers not being overly biased and/or bearing significant organizational&#13;
costs. Our theory explains why grassroots movements, rather than established&#13;
unions, often succeed in organizing workplaces. Interestingly, the likelihood&#13;
of successful unionization, when it benefits workers, is non-monotonic with respect&#13;
to organizational costs. When such costs are low, a firm that opposes unionization&#13;
and targets organizers may paradoxically increase the chances of success. However,&#13;
the unionization drive is ineffective if the firm’s opposition is sufficiently strong, as&#13;
this makes organizational costs prohibitive.
</description>
<pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://refubium.fu-berlin.de/handle/fub188/45833</guid>
<dc:date>2024-01-01T00:00:00Z</dc:date>
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<item>
<title>Crowding (at) the margins</title>
<link>https://refubium.fu-berlin.de/handle/fub188/45709</link>
<description>Crowding (at) the margins
Kohl, Sebastian; Steinhardt, Max F.; Stella, Luca; Voss, Simon
This study explores the factors influencing household overcrowding using longitudinal&#13;
survey data from Germany spanning the years 1985 to 2022. As average&#13;
square meters per capita have declined for urban tenants, we find that overcrowding&#13;
rates have substantially increased since 2012: By 2022, 11% of the population lived&#13;
in overcrowded housing (Eurostat definition), while up to 19% of individuals subjectively&#13;
felt overcrowded. At the same time, under-occupation also rose, with 39%&#13;
of dwellings objectively classified as under-occupied, and 16% of residents subjectively&#13;
perceiving their homes as under-occupied. We demonstrate that the likelihood&#13;
of entering, experiencing, and remaining in overcrowded housing increases in early&#13;
adulthood and decreases over the life cycle. Moreover, we find that, after controlling&#13;
for socio-demographic characteristics such as the number of children or a migration&#13;
background, economic factors contribute relatively little to explaining the likelihood&#13;
of living in an overcrowded household. In policy terms, our paper highlights a misallocation&#13;
of housing space and the need for housing policies to target particular&#13;
vulnerable groups at high risk of overcrowding.
</description>
<pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://refubium.fu-berlin.de/handle/fub188/45709</guid>
<dc:date>2024-01-01T00:00:00Z</dc:date>
</item>
<item>
<title>Do Natural Disasters Affect Household Saving?</title>
<link>https://refubium.fu-berlin.de/handle/fub188/45595</link>
<description>Do Natural Disasters Affect Household Saving?
Berlemann, Michael; Haustein, Erik; Steinhardt, Max F.; Tutt, Jascha
Recently, there is a growing interest in understanding how individuals adapt to changing climate conditions and climate-induced extreme weather events. An underexplored question is whether and how climate-related natural hazards affect household saving behavior. For this purpose, we exploit a natural experiment stemming from the European Flood of August 2002. Combining micro data with geo-coded flood maps allows us to analyze the causal impact of flood exposure on household savings within a differences-in-differences setting. We find that flood exposure depresses household saving behavior in the medium run. The most likely explanation is moral hazard induced by massive government support for affected households.
</description>
<pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
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<dc:date>2024-01-01T00:00:00Z</dc:date>
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