Research

Current projects

Fondecyt Iniciación 2022-2025 (área ciencias económicas y administrativas): "From automation to home production via the gig economy: a novel gender-based approach"

Publications

Richiardi, M. & Valenzuela, L. (2024). "Firm Heterogeneity and the Aggregate Labour Share", LABOUR, 38(1): 66-101

Valenzuela, L. & Barrera, M. (2024), Beyond Ecological Economics and Development: Critical Reflections on the Thought of Manfred Max-Neef , Routledge: London

Cruz, G. & Egaña, P. & Valenzuela, L., (2023) "Brechas de género en el mercado laboral en Chile", chapter in Carvacho, H. & Jimenez-Moya, G. & Flores, B. & Jirón, P. & Reyes-Housholder, C. (editores), Tejiendo Rutas: Perspectivas para un Chile con equidad de género, Fondo de Cultura Económica: Ciudad de México

Nolan, B. & Richiardi, M. & Valenzuela, L. (2019) "The Drivers of Inequality in Rich Countries", Journal of Economic Surveys, 33(4): 1285–1324

Nolan, B. & Valenzuela, L. (2019) "Inequality and its discontents", Oxford Review of Economic Policy, 35(3): 396–430

Current work

Valenzuela, L. (under review). "Satisfacción laboral e impacto de legislación en trabajadores gig: evidencia desde

Valdivia (Chile)" (Video con resumen de resultados)

Valenzuela, L. (working paper), "Job polarization and the race between technology and workers' productivity in the UK"

Valenzuela, L. (work in progress), "Automation, home production and the gig economy"

Valenzuela, L. (work in progress), "On the relation between value added and gross output production functions"

Betancourt, A. & Rodriguez, J. & Valenzuela, L. (work in progress), "Automation risk in Chilean labour markets: a gendered perspective"

Other projects

"R³: Randomness for Reproducible Research", work in progress

Abstract: "Researchers usually set seeds in order to introduce traceable randomness into their research (e.g. when bootstrapping). The way the seed is chosen is currently ad-hoc and unverifiable, enabling non-random seed selection. This project builds an online tool where researchers can commit to use a yet-ungenerated seed for a particular paper and purpose. After such commitment, the seed is generated by applying a transparent algorithm to information obtained from the latest block added to a given blockchain. A unique DOI allows researchers to link their papers to the seed, hence making the seed selection random and verifiable."