Does personality affect the allocation of resources within households?
This paper examines whether personality influences the allocation of resources within households. To do so, I model households as couples who 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 acts 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, have higher self-esteem, and engage more cognitively than their male partners receive a larger share of intrafamily resources.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Economic growth of cities: Does resource allocation matter?
We study how efficient resource reallocation across cities affects potential aggregate growth. Using optimal resource allocation models and data on 284 China's prefecture-level cities in the years 2003--2019, we quantita…
Personality Trait Detection Using Bagged SVM over BERT Word Embedding Ensembles
Recently, the automatic prediction of personality traits has received increasing attention and has emerged as a hot topic within the field of affective computing. In this work, we present a novel deep learning-based appr…
Language ModelingLanguage ModellingNatural Language UnderstandingPrediction+1Using Nuances of Emotion to Identify Personality
Past work on personality detection has shown that frequency of lexical categories such as first person pronouns, past tense verbs, and sentiment words have significant correlations with personality traits. In this paper,…
SpecificityAffective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation
Personality Recognition in Conversation (PRC) aims to identify the personality traits of speakers through textual dialogue content. It is essential for providing personalized services in various applications of Human-Com…
Emotion RecognitionLanguage ModellingNatural Language InferencePersonality Recognition in ConversationTxPI-u: A Resource for Personality Identification of Undergraduates
Resources such as labeled corpora are necessary to train automatic models within the natural language processing (NLP) field. Historically, a large number of resources regarding a broad number of problems are available m…