nep-ent New Economics Papers
on Entrepreneurship
Issue of 2019‒07‒29
five papers chosen by
Marcus Dejardin
Université de Namur

  1. Who Gains from Active Learning in Higher Education? By Bosio, Giulio; Origo, Federica
  2. How does Caste Affect Entrepreneurship? Birth vs Worth By Sampreet Singh Goraya
  3. Local entrepreneurship ecosystems and emerging industries: Case study of Pomorskie, Poland By OECD
  4. Mafia Firms and Aftermaths By Alfano, Maria Rosaria; Cantabene, Claudia; Silipo, Damiano Bruno
  5. What Do Survey Data Tell Us about US Businesses? By Anmol Bhandari; Serdar Birinci; Ellen McGrattan; Kurt See

  1. By: Bosio, Giulio (University of Bergamo); Origo, Federica (University of Bergamo)
    Abstract: The aim of this paper is to study whether and how teaching style (i.e., traditional vs active mode) affects academic performance of young individuals in tertiary education. We focus on entrepreneurship education as an ideal subject for experimenting alternative teaching methods. Identification relies on Triple Differences (DDD) estimates based on detailed administrative data for the universe of students in a Master's program in Management and Finance in Italy over 2011-2015. We measure academic achievement through several indicators, both right after the end of the entrepreneurship course (short run) and at the end of the program (long run). Our preferred estimates show no significant effects of the teaching mode on student's achievement, both in the short and in the long run. However, further estimates reveal interesting heterogeneities across students, being active teaching more effective in the case of females and students from secondary schools with an academic track.
    Keywords: entrepreneurship education, teaching modes, academic performance, triple difference, difference-in-differences
    JEL: I20 J24 L26
    Date: 2019–06
  2. By: Sampreet Singh Goraya
    Abstract: This paper examines the relative importance of the caste system in explaining the resource misallocation in India and quantifies its impact on aggregate productivity. I document that the historically disadvantaged castes (LC) are less likely to enter entrepreneurship even though they are more productive on average. At the intensive margin, the LC entrepreneurs are less capital-intensive but have higher marginal revenue product of capital relative to high castes. In a quantitative model of entrepreneurship, I find that the LC face higher entry cost and stricter financial constraints and that such asymmetries reduce aggregate TFP by 2.54% and output by 6%.
    Keywords: misallocation, productivity, caste system
    JEL: O11 E23 D61
    Date: 2019–07
  3. By: OECD
    Abstract: This case study examines the Pomorskie local entrepreneurship ecosystem and regional smart specialisation approach. It identifies bottlenecks and enablers in the local entrepreneurship ecosystem and makes policy recommendations on how to further strengthen local entrepreneurship and industrial renewal. The case study offers a number of policy suggestions and models for Pomorskie and for other regions interested in promoting entrepreneurship and emerging industries.
    Date: 2019–07–24
  4. By: Alfano, Maria Rosaria; Cantabene, Claudia; Silipo, Damiano Bruno
    Abstract: We use a unique and unexplored dataset to investigate the determinants and effects of mafia firms in Italy. Mafia may use several tools to expand its firms. However, in this paper, we show that they prefer political corruption to violence to expand mafia firms. In particular, they use the latter more to build up their reputation in new established regions. Mafia firms hamper entrepreneurial activity but they can have beneficial effects on unemployment if mafia firms add to not substitute current economic activities. Policy makers should take account of this twofold effects of mafia firms.
    Keywords: Organized crime,Mafia firm,Mafia and development
    JEL: D02 K14 L11
    Date: 2019
  5. By: Anmol Bhandari; Serdar Birinci; Ellen McGrattan; Kurt See
    Abstract: This paper examines the reliability of survey data on business incomes, valuations, and rates of return, which are key inputs for studies of wealth inequality and entrepreneurial choice. We compare survey responses of business owners with available data from administrative tax records, brokered private business sales, and publicly traded company filings and document problems due to nonrepresentative samples and measurement errors across all surveys, subsamples, and years. We find that the discrepancies are economically relevant for the statistics of interest. We investigate reasons for these discrepancies and propose corrections for future survey designs.
    JEL: C83 E22 H25
    Date: 2019–07

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