Choosing Imputation Models

Imputing missing values is an important preprocessing step in data analysis, but the literature offers little guidance on how to choose between imputation models. This letter suggests adopting the imputation model that generates a density of imputed values most similar to those of the observed values for an incomplete variable after balancing all other covariates. We recommend stable balancing weights as a practical approach to balance covariates whose distribution is expected to differ if the values are not missing completely at random. After balancing, discrepancy statistics can be used to compare the density of imputed and observed values. We illustrate the application of the suggested approach using simulated and real-world survey data from the American National Election Study, comparing popular imputation approaches including random forests, hot-deck, predictive mean matching, and multivariate normal imputation. An R package implementing the suggested approach accompanies this letter.

Entrepreneurship and economic growth: does gender matter?

PurposeEntrepreneurial firms contribute to economic growth, but the potential gendered nature of this contribution must be investigated as outcomes of male-owned and female-owned firms differ. The study investigates the female underperformance hypothesis in a cross-country analysis of Schumpeterian entrepreneurs. Next, it investigates if there is a gendered dimension of Schumpeterian firm contribution to economic growth.Design/methodology/approachThe study utilizes both nonparametric and parametric methodologies. Through nonparametric methods, the success of female-owned and male-owned firms is compared. Next, a parametric ordinary least squares regression model tests if there is a gendered nature of an entrepreneurial firm's economic contribution.FindingsIn nonparametric analyses, female-owned entrepreneurial firms in developed countries perform similarly to male-owned firms, while in developing countries male-owned firms significantly outperform female-owned firms. The author also finds strong evidence that the gender of the Schumpeterian entrepreneur does not matter in the contribution in economic growth.Research limitations/implicationsIn all countries, the number of female-owned entrepreneurial firms was significantly lower than that of male-owned firms. The findings point to consistent cultural barriers for women in innovation-related fields and persistent gendered norms in entrepreneurship. Thus, removal of cultural barriers and continued support for Schumpeterian entrepreneurship will benefit women and contribute to a country's economic growth.Originality/valueThe data for this study is a unique utilization of the Enterprise World Survey to identify Schumpeterian entrepreneurial firms. Additionally, the study challenges the female underperformance hypothesis and contributes to the literature on the role of entrepreneurship in economic growth.