Published Works
Kaltenberg, M., Jaffe, A. B., & Lachman, M. E. (2023). Invention and the life course: Age differences in patenting. Research policy, 52(1), 104629.
Jun, B., Kaltenberg, M. and Won-Sik, H. (2021). How Inequality Hurts Growth: Revisiting the Galor-Zeira model using the Korean Case. Pacific Economic Review. Link here.
Working Papers
Invention & Labor
Kaltenberg, Mary and Jaffe, Adam B. and Lachman, Margie, Invention and the Life Course: Age Differences in Patenting (May 2021). NBER Working Paper No. w28769. Get it here.
Kaltenberg, Mary and Jaffe, Adam B. and Lachman, Margie, Invention and the Life Course: Age Differences in Patenting (May 2021). NBER Working Paper No. w28769. Get it here.
Accompanying dataset available on dataverse. Get it here. For questions or comments on the data set, please feel free to email me (mkaltenberg [at] pace [dot] edu).
Work in Progress:
Does Maternity Hold Back ‘Marie Curies’? with Ling Zhou
Female invention participation has steadily grown in the US over the past few decades, but the gender innovation gap remains substantial. This growth in partic- ipation corresponds with an overall increase of female labor force participation and changes in maternity leave policies. Using inventor data from patents from the US Patent and Trademark Office, this paper seeks to evaluate the impact of maternity leave polities in innovation related jobs in two particular perspectives, exit decisions and productivity of female inventors of child-bearing age. Our findings suggest that maternity leave policies promote retention of female inventors, but these policies have little impact on increasing productivity.
Inequality & Labor
Decomposing Inequality Across Europe: The Impact of Automation with N. Foster-McGregor. Working paper is here. Insight discussed in this blog.
Local labor market and higher education mismatch: What is the role of public and private institutions? with Ortiz, E.A., Jara-Figueroa, C., Bornacelly, I., and Hartmann, D. (2019) IDB Working Paper is here.
Mapping Stratification: the industry-occupation space reveals the network structure of inequality with Hartmann, D., Jara-Figueroa, C., & Gala, P. 2019. Working Paper is here.
Work in Progress:
The Knowledge Manager: Wage Premiums in Knowledge Diverse Industries
Larger industries are known to pay more, but are these premiums simply a reflection of industry size, or are they an expression of increased knowledge diversity? Firms operate much like a team – they coordinate a variety of tasks and specializations to produce a good or service. In order to improve productivity, firms will seek to improve the efficiency of a task. Some ways that firms can do this is adopting a new technology, reduce coordination costs, and hire effective communicators. Firms that have to manage a wide variety of knowledge specializations have higher coordination costs, and these costs are especially high for firms that combine knowledge that are relatively dissimilar from one another. Firms that hire individuals who are effective communicators can reduce their burdening coordination costs, and are therefore willing hire individuals who have more social skills at a higher wage premium. I test this theory at the industry level, where I can empirically observe varying degrees of specialization. I develop a novel way to approximate knowledge specialization using an occupation-industry network. This network allows me to capture the variety of specializations in and industry, and the relative knowledge base distance between two occupations. At the industry level, workers who have social and communication skills will sort to industries that have a higher diversity of knowledge because those industries are willing to pay a knowledge diversity premium to reduce their high coordination costs. My results show that workers in industries with higher knowledge diversity receive a wage premium, especially for jobs with social, communication and interpersonal skills.
Economic Complexity
Albeaik, S., Kaltenberg, M., Alsaleh, M., and Hidalgo, C. A. (2017). 729 New Measures of Economic Complexity. arXiv preprint arXiv:1708.04107.
Albeaik, S., Kaltenberg, M., Alsaleh, M., and Hidalgo, C. A. (2017). Improving the Economic Complexity Index. arXiv preprint arXiv:1707.05826.
Verspagen, B. & Kaltenberg, M., (2015). Catching-up in a globalised context: Technological change as a driver of growth, UNIDO Working Paper 20 | 2015.
Download it here or here
Work in Progress:
Exporting Up: The Importance of Improving Technological Capabilities for Growth
What is the best way to measure technological capabilities? Over the past 15 years, technological capability indices have developed into two strains: aggregated capability indices and export based algorithms. We discuss the strength and weaknesses of using such measures and test at which point technological capabilities are important for low income nations to `catch-up’ with developed nations. We explore a variety of econometric estimation techniques including, random effect, fixed effect, Hausman-Taylor and GMM that compare three export based algorithms, economic complexity index, fitness and generalized fitness. Our results indicate that technological capabilities, measured with export based algorithms, contribute to economic growth for low income nations. However, we do not find conclusive evidence that these measures have an impact at all stages of the development process. We suggest that to understand how economic structures impact economic growth, future pathways of research should reevaluate how to measure complexity to include value added which is increasingly fragmented across global production chains, and to measure the complexity of service and knowledge based products which are becoming a pivotal part of economies across the world.
Technical Reports
Industrial Development Report 2016. The Role of Technology and Innovation in Inclusive and Sustainable Industrial Development. “Technological change, structural transformation and economic growth,” Vienna, UNIDO.
Hartmann, D., Jara-Figueroa, C. and Kaltenberg, M., 2017, The Brazilian Industry-Occupation Space: Structural Heterogeneity and the regional skills demand. IADB Technical Report.
Mary Kaltenberg 