Information about Inequality in Early Child Care Reduces Polarization in Policy Preferences
Henning Hermes, Philipp Lergetporer, Fabian Mierisch, Guido Schwerdt, Simon Wiederhold
Journal of Economic Behavior and Organization,
December
2024
Abstract
We investigate public preferences for equity-enhancing policies in access to early child care, using a survey experiment with a representative sample of the German population (n ≈ 4, 800). We observe strong misperceptions about migrant-native inequalities in early child care that vary by respondents’ age and right-wing voting preferences. Randomly providing information about the actual extent of inequalities has a nuanced impact on the support for equity-enhancing policy reforms: it increases support for respondents who initially underestimated these inequalities, and tends to decrease support for those who initially overestimated them. This asymmetric effect leads to a more consensual policy view, substantially decreasing the polarization in policy support between under- and overestimators. Our results suggest that correcting misperceptions can align public policy preferences, potentially leading to less polarized debates about how to address inequalities and discrimination.
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Robot Adoption at German Plants
Liuchun Deng, Verena Plümpe, Jens Stegmaier
Jahrbücher für Nationalökonomie und Statistik,
No. 3,
2024
Abstract
Using a newly collected dataset at the plant level from 2014 to 2018, we provide the first microscopic portrait of robotization in Germany and study the correlates of robot adoption. Our descriptive analysis uncovers five stylized facts: (1) Robot use is relatively rare. (2) The distribution of robots is highly skewed. (3) New robot adopters contribute substantially to the recent robotization. (4) Robot users are exceptional. (5) Heterogeneity in robot types matters. Our regression results further suggest plant size, high-skilled labor share, exporter status, and labor shortage to be strongly associated with the future probability of robot adoption.
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Information about Inequality in Early Child Care Reduces Polarization in Policy Preferences
Henning Hermes, Philipp Lergetporer, Fabian Mierisch, Guido Schwerdt, Simon Wiederhold
Abstract
We investigate public preferences for equity-enhancing policies in access to early child care, using a survey experiment with a representative sample of the German population (n ≈ 4, 800). We observe strong misperceptions about migrant-native inequalities in early child care that vary by respondents’ age and right-wing voting preferences. Randomly providing information about the actual extent of inequalities has a nuanced impact on the support for equity-enhancing policy reforms: it increases support for respondents who initially underestimated these inequalities, and tends to decrease support for those who initially overestimated them. This asymmetric effect leads to a more consensual policy view, substantially decreasing the polarization in policy support between under- and overestimators. Our results suggest that correcting misperceptions can align public policy preferences, potentially leading to less polarized debates about how to address inequalities and discrimination.
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Does Information about Inequality and Discrimination in Early Child Care Affect Policy Preferences?
Henning Hermes, Philipp Lergetporer, Fabian Mierisch, Guido Schwerdt, Simon Wiederhold
CESifo Working Paper,
No. 10925,
2024
Abstract
We investigate public preferences for equity-enhancing policies in access to early child care, using a survey experiment with a representative sample of the German population (n ≈ 4, 800). We observe strong misperceptions about migrant-native inequalities in early child care that vary by respondents’ age and right-wing voting preferences. Randomly providing information about the actual extent of inequalities has a nuanced impact on the support for equity-enhancing policy reforms: it increases support for respondents who initially underestimated these inequalities, and tends to decrease support for those who initially overestimated them. This asymmetric effect leads to a more consensual policy view, substantially decreasing the polarization in policy support between under- and overestimators. Our results suggest that correcting misperceptions can align public policy preferences, potentially leading to less polarized debates about how to address inequalities and discrimination.
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IWH Alumni The IWH maintains contact with its former employees worldwide. We involve our alumni in our work and keep them informed, for example, with a newsletter. We also plan…
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Discrimination in Universal Social Programs? A Nationwide Field Experiment on Access to Child Care
Henning Hermes, Philipp Lergetporer, Fabian Mierisch, Frauke Peter, Simon Wiederhold
IWH Discussion Papers,
No. 12,
2023
Abstract
Although explicit discrimination in access to social programs is typically prohibited, more subtle forms of discrimination prior to the formal application process may still exist. Unveiling this phenomenon, we provide the first causal evidence of discrimination against migrants seeking child care. We send emails from fictitious parents to > 18, 000 early child care centers across Germany, inquiring about slot availability and application procedures. Randomly varying names to signal migration background, we find that migrants receive 4.4 percentage points fewer responses. Replies to migrants contain fewer slot offers, provide less helpful content, and are less encouraging. Exploring mechanisms using three additional treatments, we show that discrimination is stronger against migrant boys. This finding suggests that anticipated higher effort required for migrants partly drives discrimination, which is also supported by additional survey and administrative data. Our results highlight that difficult-to-detect discrimination in the pre-application phase could hinder migrants’ access to universal social programs.
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05.04.2023 • 9/2023
East German economy has come through energy crisis well so far – Implications of the Joint Economic Forecast Spring 2023 and new data for the East German economy
In 2022, the East German economy expanded by 3.0%, significantly stronger than the economy in West Germany (1.5%). The background is a more robust development of labour and retirement incomes. For 2023, the Halle Institute for Economic Research (IWH) forecasts a higher GDP growth rate of 1% in East Germany than in Germany as a whole (0.3%). The unemployment rate is expected to stagnate, with 6.8% in 2023 and 6.7% in the following year.
Oliver Holtemöller
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Paying Outsourced Labor: Direct Evidence from Linked Temp Agency-Worker-Client Data
Andres Drenik, Simon Jäger, Pascuel Plotkin, Benjamin Schoefer
Review of Economics and Statistics,
No. 1,
2023
Abstract
We estimate how much firms differentiate pay premia between regular and outsourced workers in temp agency work arrangements. We leverage unique Argentinian administrative data that feature links between user firms (the workplaces where temp workers perform their labor) and temp agencies (their formal employers). We estimate that a high-wage user firm that pays a regular worker a 10% premium pays a temp worker on average only a 4.9% premium, compared to what these workers would earn in a low-wage user firm in their respective work arrangements—the midpoint between the benchmarks for insiders (one) and the competitive spot-labor market (zero).
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Robot Adoption at German Plants
Liuchun Deng, Verena Plümpe, Jens Stegmaier
Abstract
Using a newly collected dataset of robot use at the plant level from 2014 to 2018, we provide the first microscopic portrait of robotisation in Germany and study the potential determinants of robot adoption. Our descriptive analysis uncovers five stylised facts concerning both extensive and, perhaps more importantly, intensive margin of plant-level robot use: (1) Robot use is relatively rare with only 1.55% German plants using robots in 2018. (2) The distribution of robots is highly skewed. (3) New robot adopters contribute substantially to the recent robotisation. (4) Robot users are exceptional along several dimensions of plant-level characteristics. (5) Heterogeneity in robot types matters. Our regression results further suggest plant size, low-skilled labour share, and exporter status to have strong and positive effect on future probability of robot adoption. Manufacturing plants impacted by the introduction of minimum wage in 2015 are also more likely to adopt robots. However, controlling for plant size, we find that plant-level productivity has no, if not negative, impact on robot adoption.
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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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