Gastón P. Fernández’s research while affiliated with KU Leuven and other places

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Publications (8)


The collective effect. Source: Based on Browning et al. (2014)
Within-couple differences in personality traits
OLS estimates of the effect of personality traits on preferences over consumed commodities. System of unconditional demand functions. Notes: Estimated OLS coefficients of the system of unconditional demand functions in equation (8). Estimates are sorted by size. Sample size: 1016 couples. Panel A: personality traits of the man. Panel B: personality traits of the woman. Additional controls: a linear control function for full income and its square instrumented with household potential income; the log of spouses’ wages and the interaction between them; spouses’ ages and their square; spouses’ educational level; the number of children the couple has; and the marriage market personality ratios. Robust standard errors clustered at the household level are in parentheses. Confidence intervals constructed at 90% of confidence
Intrahousehold consumption inequality and relative personality. Notes: This figure shows kernel density plots of intrahousehold inequality (i.e., RICEBf minus RICEBm) by couples with different within-couple female personality fractions (rn)
Stability of personality traits. A. Female average personality scores by age. B. Male average personality scores by age

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Does personality affect the allocation of resources within households?
  • Article
  • Publisher preview available

March 2025

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4 Reads

Review of Economics of the Household

Gastón P. Fernández

This paper examines whether personality influences the allocation of resources within households. I model households as couples that make Pareto-efficient allocations and divide resources according to a distribution function. Using a sample of Dutch couples from the LISS survey, which includes detailed individual-level data on consumption, labor supply, and personality traits, I investigate two structural channels through which personality can affect intrahousehold allocations. First, I show that personality, acting as a taste shifter, significantly influences preferences for consumed goods and leisure time. Second, by testing distribution factor proportionality and the exclusion restriction of a conditional demand system, I find that personality can act as a distribution factor. Specifically, differences in personality traits between spouses shape resource allocation by influencing the bargaining process within households. For example, women who are relatively more conscientious and engage more cognitively than their male partners receive a larger share of intrafamily resources. This paper thus provides empirical evidence on how personality traits can contribute to consumption inequality within families.

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Figure 2. Intrahousehold consumption inequality and relative personality.
OLS estimates of the effect of relative personality on household consumption. System of unconditional demand functions.
Panel A: Test of equal mean in intrahousehold inequality between couples with large and small female personality fractions. Panel B: Difference in average intrahousehold inequality between couples with large and small female personality fractions.
Does personality affect the allocation of resources within households?

July 2023

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37 Reads

This paper examines whether personality influences the allocation of resources within households. I model households as couples that make Pareto-efficient allocations and divide resources according to a distribution function. Using a sample of Dutch couples from the LISS survey with detailed information on consumption, labor supply, and personality traits at the individual level, I find that personality affects intrahousehold allocations through two channels. Firstly, the level of these traits act as preference factors that shape individual tastes for consumed goods and leisure time. Secondly, by testing distribution factor proportionality and the exclusion restriction of a conditional demand system, I observe that differences in personality between spouses act as distribution factors. Specifically, these differences in personality impact the allocation of resources by affecting the bargaining process within households. For example, women who are relatively more conscientious and engage more cognitively than their male partners receive a larger share of intrafamily resources. JEL Classification: D1, J12, J22, J24




Artificial intelligence and industrial innovation: Evidence from German firm-level data

September 2022

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258 Reads

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193 Citations

Research Policy

This paper analyses the link between the use of Artificial Intelligence (AI) and innovation performance in firms. Based on firm-level data from the German part of the Community Innovation Survey (CIS) 2018, we examine the role of different AI methods and application areas in innovation. The results show that 5.8% of firms in Germany were actively using AI in their business operations or products and services in 2019. We find that the use of AI is associated with annual sales with world-first product innovations in these firms of about €16 billion (i.e. 18% of total annual sales of world-first innovations). In addition, AI technologies have been used in process innovation that contributed to about 6% of total annual cost savings of the German business sector. Firms that apply AI broadly (using different methods for different applications areas) and that have already several years of experience in using AI obtain significantly higher innovation results. These positive findings on the role of AI for innovation have to be interpreted with caution as they refer to a specific country (Germany) in a situation where AI started to diffuse rapidly.



Citations (4)


... to boost productivity and reduce costs (Yang, 2022;Czarnitzki et al., 2023;Gao & Feng, 2023), qualitative investigations probing the philosophical and perceptual dimensions of these changes are scarce, especially in culturally sensitive communities like Zongolica. The effectiveness of any technological innovation largely depends on how it is assimilated and re-signified by the people involved. ...

Reference:

Human Capital Perception in Hybrid Work Environments: A Qualitative Exploration of Artificial Intelligence Integration
Artificial intelligence and firm-level productivity
  • Citing Article
  • July 2023

Journal of Economic Behavior & Organization

... AI has been discussed in academic circles since the 1950s Complementary Innovation Returns on AI investments are often seen in spillover effects [22]. Rammer et al. [23] find evidence of this in Germany where firms using AI were more likely to introduce new products and processes ...

Artificial Intelligence and Industrial Innovation: Evidence From Firm-Level Data
  • Citing Article
  • January 2021

SSRN Electronic Journal

... Additionally, AI applications for worker comfort include detecting workplace stressors, providing individualized recommendations for ergonomic enhancements, and altering environmental settings based on employee presence [34,35,36]. AI helps with payroll processing, real-time worker productivity feedback, administrative task automation, and quick response mechanisms [37,38,41,44]. Additionally, by automating data collecting and processing, locating key figures within an organization, and improving cooperation, AI can support organizational network analysis (ONA) [54,55,58]. ...

Artificial Intelligence and Firm-Level Productivity
  • Citing Article
  • January 2022

SSRN Electronic Journal

... AI refers to the use of machine learning, computer vision, deep learning, and other technologies to imitate human behavior, thereby achieving the replacement of human or mental labor (Liu et al. 2022). AI is a technology that uses machines to replace some human functions, which can automate the production process, improve operational quality, and enhance products and services (Rammer et al. 2022). As a new general-purpose technology (Akter et al. 2024), AI has been widely applied in various aspects such as industrial production, transportation, and service industries. ...

Artificial intelligence and industrial innovation: Evidence from German firm-level data
  • Citing Article
  • September 2022

Research Policy