Crowdsourced Innovation: How Community Managers Affect Crowd Activities
Sabrina Jeworrek, Lars Hornuf
Abstract
In this study, we investigate whether and to what extent community managers in online collaborative communities can stimulate crowd activities through their engagement. Using a novel data set of 22 large online idea crowdsourcing campaigns, we find that active engagement of community managers positively affects crowd activities in an inverted U-shaped manner. Moreover, we evidence that intellectual stimulation by managers increases community participation, while individual consideration of users has no impact on user activities. Finally, the data reveal that community manager activities that require more effort, such as media file uploads instead of simple written comments, have a larger effect on crowd participation.
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Auswirkungen des gesetzlichen Mindestlohns im Handwerk in Sachsen-Anhalt
Hans-Ulrich Brautzsch, Birgit Schultz
Zeitschrift für Wirtschaftspolitik,
No. 2,
2018
Abstract
This paper examines the effects of the minimum wage introduction in Germany in 2015 on the skilled crafts sector in Saxony-Anhalt.
Using novel survey data on the skilled crafts sector in Saxony-Anhalt, we examine three questions: (1) How many employees are affected by the minimum wage introduction in the skilled crafts sector in Saxony-Anhalt? (2) What are the effects of the minimum wage introduction? (3) How did firms react to wage increase?
We find that about 8 % of all employees in the skilled crafts sector in Saxony-Anhalt are directly affected by the minimum wage introduction. A difference-in-difference estimation reveals no significant employment effects of the minimum wage introduction. We test for alternative adjustment strategies and observe a significant increase of output prices.
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Do Startups Provide Employment Opportunities for Disadvantaged Workers?
Daniel Fackler, Michaela Fuchs, Lisa Hölscher, Claus Schnabel
IZA Discussion Paper Series,
forthcoming
Abstract
This paper analyzes whether startups offer job opportunities to workers potentially facing labor market problems. It compares the hiring patterns of startups and incumbents in the period 2003 to 2014 using administrative linked employer-employee data for Germany that allow to take the complete employment biographies of newly hired workers into account. The results indicate that young plants are more likely than incumbents to hire older and foreign applicants as well as workers who have instable employment biographies, come from unemployment or outside the labor force, or were affected by a plant closure. However, an analysis of entry wages reveals that disadvantageous worker characteristics come along with higher wage penalties in startups than in incumbents. Therefore, even if startups provide employment opportunities for certain groups of disadvantaged workers, the quality of these jobs in terms of initial remuneration seems to be low.
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Firm Wage Premia, Industrial Relations, and Rent Sharing in Germany
Boris Hirsch, Steffen Müller
IWH Discussion Papers,
No. 2,
2018
published in: ILR Review
Abstract
This paper investigates the influence of industrial relations on firm wage premia in Germany. OLS regressions for the firm effects from a two-way fixed effects decomposition of workers’ wages by Card, Heining, and Kline (2013) document that average premia are larger in firms bound by collective agreements and in firms with a works council, holding constant firm performance. RIF regressions show that premia are less dispersed among covered firms but more dispersed among firms with a works council. Hence, deunionisation is the only among the suspects investigated that contributes to explaining the marked rise in the premia dispersion over time.
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Explaining Wage Losses after Job Displacement: Employer Size and Lost Firm Rents
Daniel Fackler, Steffen Müller, Jens Stegmaier
IWH Discussion Papers,
No. 32,
2017
Abstract
Why does job displacement, e.g., following import competition, technological change, or economic downturns, result in permanent wage losses? The job displacement literature is silent on whether wage losses after job displacement are driven by lost firm wage premiums or worker productivity depreciations. We therefore estimate losses in wages and firm wage premiums. Premiums are measured as firm effects from a two-way fixed-effects approach, as described in Abowd, Kramarz, and Margolis (1999). Using German administrative data, we find that wage losses are, on average, fully explained by losses in firm wage premiums and that premium losses are largely permanent. We show that losses in wages and premiums are minor for workers displaced from small plants and strongly increase with pre-displacement firm size, which provides an explanation for the large and persistent wage losses that have been found in previous studies mostly focusing on displacement from large employers.
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The Minimum Wage Effects on Skilled Crafts Sector in Saxony-Anhalt
Hans-Ulrich Brautzsch, Birgit Schultz
IWH Discussion Papers,
No. 31,
2017
Abstract
This paper examines the effects of the minimum wage introduction in Germany in 2015 on the skilled crafts sector in Saxony-Anhalt. Using novel survey data on the skilled crafts sector in Saxony-Anhalt, we examine three questions: (1) How many employees are affected by the minimum wage introduction in the skilled crafts sector in Saxony- Anhalt? (2) What are the effects of the minimum wage introduction? (3) How have firms reacted to wage increase? We find that about 8% of all employees in the skilled crafts sector in Saxony-Anhalt are directly affected by the minimum wage introduction. A difference-in-difference estimation reveals no significant employment effects of the minimum wage introduction. We test for alternative adjustment strategies and observe a significant increase of output prices.
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Transferability of Skills across Sectors and Heterogeneous Displacement Costs
Moises Yi, Steffen Müller, Jens Stegmaier
American Economic Review: Papers and Proceedings,
No. 5,
2017
Abstract
We use rich German administrative data to estimate new measures of skill transferability between manufacturing and other sectors. These measures capture the value of workers' human capital when applied in different sectors and are directly related to workers' displacement costs. We estimate these transferability measures using a selection correction model, which addresses workers' endogenous mobility, and a novel selection instrument based on the social network of workers. Our results indicate substantial heterogeneity in how workers can transfer their skills when they move across sectors, which implies heterogeneous displacement costs that depend on the sector to which workers reallocate.
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Immigration and the Rise of American Ingenuity
Ufuk Akcigit, John Grigsby, Tom Nicholas
American Economic Review,
No. 5,
2017
Abstract
We build on the analysis in Akcigit, Grigsby, and Nicholas (2017) by using US patent and census data to examine the relationship between immigration and innovation. We construct a measure of foreign born expertise and show that technology areas where immigrant inventors were prevalent between 1880 and 1940 experienced more patenting and citations between 1940 and 2000. The contribution of immigrant inventors to US innovation was substantial. We also show that immigrant inventors were more productive than native born inventors; however, they received significantly lower levels of labor income. The immigrant inventor wage-gap cannot be explained by differentials in productivity.
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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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Creative Destruction and Subjective Well-being
Philippe Aghion, Ufuk Akcigit, Angus Deaton, Alexandra Roulet
American Economic Review,
No. 12,
2016
Abstract
In this paper we analyze the relationship between turnover-driven growth and subjective well-being. Our model of innovation-led growth and unemployment predicts that: (i) the effect of creative destruction on expected individual welfare should be unambiguously positive if we control for unemployment, less so if we do not; (ii) job creation has a positive and job destruction has a negative impact on well-being; (iii) job destruction has a less negative impact in areas with more generous unemployment insurance policies; and (iv) job creation has a more positive effect on individuals that are more forward-looking. The empirical analysis using cross sectional MSA (metropolitan statistical area)-level and individual-level data provide empirical support to these predictions.
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