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- Sozialwissenschaften (1029) (remove)
In this paper, we show how socialist planning can be based on input-output data. We argue that the information required for this can be obtained by a central planning agency and thus dismiss Hayek’s information argument against socialism. We further show how economic planning can be made responsive to consumer demand through a feedback control mechanism. Output targets of products would be adjusted in response to observed consumer demand or based on predictions about future demand. Planners can use machine learning to make more accurate forecasts. The valuation of goods plays an important role in the feedback control mechanism. The values of goods can either be measured by the labour time necessary for their production (labour values) or through shadow prices based on linear programming.
Keeping up with the Patels
(2020)
End-users base their consumption decisions not only on available budget and direct use value, but also on their social environment. The underlying social dynamics are particularly important in the case of consumer goods that implicate high future energy demand and are, hence, also key for climate mitigation. This paper investigates the impact of social factors, with a focus on 'status perceptions', on car and appliance ownerships by urban India households. Using two rounds of the household-level data from the India Human Development Survey (IHDS, 2005 and 2012), we test for the impact of social factors in addition to economic, demographic, locational, and housing on ownership levels. Starting with factor analysis to categorise appliances by their latent characteristics, we then apply the bivariate ordered probit model to identify drivers of consumption among the urban households. We find that while income and household demographics are predominant drivers of car and appliance uptake, the household's perception of status, instrumented by a variable measuring expenditure on conspicuous consumption, emerges as a key social dimension influencing the uptake. The results indicate how households identify themselves in society influences their corresponding car and appliance consumption. A deeper understanding of status-based consumption is, therefore, essential to designing better demand-side solutions to low carbon consumption.
Becoming a Student of Reform
(2017)
“Broadcast your gender.”
(2022)
Social media platforms provide a large array of behavioral data relevant to social scientific research. However, key information such as sociodemographic characteristics of agents are often missing. This paper aims to compare four methods of classifying social attributes from text. Specifically, we are interested in estimating the gender of German social media creators. By using the example of a random sample of 200 YouTube channels, we compare several classification methods, namely (1) a survey among university staff, (2) a name dictionary method with the World Gender Name Dictionary as a reference list, (3) an algorithmic approach using the website gender-api.com, and (4) a Multinomial Naïve Bayes (MNB) machine learning technique. These different methods identify gender attributes based on YouTube channel names and descriptions in German but are adaptable to other languages. Our contribution will evaluate the share of identifiable channels, accuracy and meaningfulness of classification, as well as limits and benefits of each approach. We aim to address methodological challenges connected to classifying gender attributes for YouTube channels as well as related to reinforcing stereotypes and ethical implications.
Is There a Rural Penalty in Language Acquisition? Evidence From Germany's Refugee Allocation Policy
(2022)
Emerging evidence has highlighted the important role of local contexts for integration trajectories of asylum seekers and refugees. Germany's policy of randomly allocating asylum seekers across Germany may advantage some and disadvantage others in terms of opportunities for equal participation in society. This study explores the question whether asylum seekers that have been allocated to rural areas experience disadvantages in terms of language acquisition compared to those allocated to urban areas. We derive testable assumptions using a Directed Acyclic Graph (DAG) which are then tested using large-N survey data (IAB-BAMF-SOEP refugee survey). We find that living in a rural area has no negative total effect on language skills. Further the findings suggest that the “null effect” is the result of two processes which offset each other: while asylum seekers in rural areas have slightly lower access for formal, federally organized language courses, they have more regular exposure to German speakers.
Research on multi-level implementation of EU legislation has almost exclusively focused on the national level, while little is known about the role of subnational authorities. Nevertheless, it is a prerequisite for the functioning of the European Union that all member states and their subnational authorities apply and enforce EU legislation in due time. I address this research gap and take a closer look at the legal transposition process in the German regional states. Using a novel data set comprising detailed information on about 700 subnational measures, I show that state-level variables, such as political preferences and ministerial resources, account for variation in the timing of legal transposition and repeatedly lead to subnational delay. To conclude, the paper addresses the role of subnational authorities in the EU multi-level system and points to their interest in shaping legal transposition in order to counterbalance their loss of competences to the national level.
Ausgehend von der Teilung in nichtaktive (Haushalt) und aktive Bevölkerung (Markt) fragt der Beitrag nach der Rolle, die statistische Vergleichsverfahren bei dieser Grenzziehung in der Welt der Arbeit spielen. Dies geschieht vor dem Hintergrund der Verzweigung von zwei strukturellen Entwicklungen, nämlich dem Wandel der (Arbeits‑)Welten und der statistischen Vergleichsverfahren. Der Beitrag gehört zu den ersten, der diese Nahtstelle systematisch und empirisch an der nationalen und internationalen (Beschäftigungs‑)Statistik untersucht. In diesem Beitrag schlage ich vor, die beiden Beobachtungsebenen als ein Feld der inter/nationalen Statistik zu verstehen. Ihre Ähnlichkeiten, Unterschiede und Verzweigungen werden soziologisch bislang noch nicht wahrgenommen. Im Unterschied dazu behandele ich sie aus einer wissensgeschichtlichen und wissenssoziologischen Perspektive gemeinsam hinsichtlich ihrer Selektionsleistungen, Beobachtungsinstrumente und Beschreibungsebenen. Die Ergebnisse zeigen die zunehmende Spezifizierung und Ausdehnung der ökonomischen Dimension von Arbeitstätigkeiten, die durch die Ordnungstechniken der inter/nationalen Statistik, verstärkt nach 1945, forciert werden. Diese Verschiebungen, so das Argument, sind eng mit dem Aufstieg des technischen Wissens im „technical internationalism“ verbunden, die nach 1945 das statistische und das Alltagsverständnis von der wirtschaftlich nichtaktiven Haushaltsarbeit bekräftigen.
Measuring migration 2.0
(2021)
The interest in human migration is at its all-time high, yet data to measure migration is notoriously limited. “Big data” or “digital trace data” have emerged as new sources of migration measurement complementing ‘traditional’ census, administrative and survey data. This paper reviews the strengths and weaknesses of eight novel, digital data sources along five domains: reliability, validity, scope, access and ethics. The review highlights the opportunities for migration scholars but also stresses the ethical and empirical challenges. This review intends to be of service to researchers and policy analysts alike and help them navigate this new and increasingly complex field.
Veto player theory is a powerful approach to comparative politics. This article argues that the debate about its explanatory success would benefit from more systematic distinctions. The theory not only comes in different theoretical variants, it is also used in radically different ways empirically. Starting from recent debates about the ‘testing’ of theoretical models, the article distinguishes five ways in which theoretical models can be used empirically: contrastive, axiomatic, exploratory, presumptive and modular. The typology is applied to veto player theory and illustrated with exemplary studies and debates. The article concludes that each type raises different questions that should be answered in individual studies. Moreover, while veto player theory has an excellent track record on four empirical uses, the picture on its contrastive use is far more nuanced. More explicitly contrastive testing of the theory is desirable.