Jose Maria Biedma Ferrer, Jose Aurelio Medina Garrido
Purpose: The objective of this work is to analyze the impact of implementing work-family reconciliation measures on workers' perception and how this can influence their behavior, especially in their organizational performance. Design/methodology/approach: A literature review and the main research works related to the work-family conflict and reconciliation measures to overcome this conflict have been conducted to draw conclusions about their impact on worker performance. Contributions and results: This work proposes an integrative model that shows the existing relationships between work-family reconciliation and perceptual variables on one side, and those related to the worker's organizational behavior on the other. Perceptual variables such as stress, job satisfaction, and motivation are analyzed. Regarding variables related to the worker's organizational behavior, absenteeism, turnover, and performance are analyzed. The results of the analysis provide evidence that the existence of work-family reconciliation is perceived favorably by workers and improves their organizational behavior, especially their performance. Originality/Added value: This study integrates different perspectives related to the conflict and work-family reconciliation, from an eclectic vision. Thus, it contributes to existing literature with a more comprehensive approach to the investigated topic. Additionally, the proposed integrative model allows for useful conclusions for management from both a purely human resources management perspective and organizational productivity improvement. Keywords: Work-family conflict, work-family reconciliation, perceptual variables, organizational performance, human resources managements
{"title":"Impact of family-friendly HRM policies in organizational performance","authors":"Jose Maria Biedma Ferrer, Jose Aurelio Medina Garrido","doi":"arxiv-2311.14358","DOIUrl":"https://doi.org/arxiv-2311.14358","url":null,"abstract":"Purpose: The objective of this work is to analyze the impact of implementing\u0000work-family reconciliation measures on workers' perception and how this can\u0000influence their behavior, especially in their organizational performance.\u0000Design/methodology/approach: A literature review and the main research works\u0000related to the work-family conflict and reconciliation measures to overcome\u0000this conflict have been conducted to draw conclusions about their impact on\u0000worker performance. Contributions and results: This work proposes an\u0000integrative model that shows the existing relationships between work-family\u0000reconciliation and perceptual variables on one side, and those related to the\u0000worker's organizational behavior on the other. Perceptual variables such as\u0000stress, job satisfaction, and motivation are analyzed. Regarding variables\u0000related to the worker's organizational behavior, absenteeism, turnover, and\u0000performance are analyzed. The results of the analysis provide evidence that the\u0000existence of work-family reconciliation is perceived favorably by workers and\u0000improves their organizational behavior, especially their performance.\u0000Originality/Added value: This study integrates different perspectives related\u0000to the conflict and work-family reconciliation, from an eclectic vision. Thus,\u0000it contributes to existing literature with a more comprehensive approach to the\u0000investigated topic. Additionally, the proposed integrative model allows for\u0000useful conclusions for management from both a purely human resources management\u0000perspective and organizational productivity improvement. Keywords: Work-family\u0000conflict, work-family reconciliation, perceptual variables, organizational\u0000performance, human resources managements","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535088","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We consider a regulator driving individual choices towards increasing social welfare by providing personal incentives. We formalise and solve this problem by maximising social welfare under a budget constraint. The personalised incentives depend on the alternatives available to each individual and on her preferences. A polynomial time approximation algorithm computes a policy within few seconds. We analytically prove that it is boundedly close to the optimum. We efficiently calculate the curve of social welfare achievable for each value of budget within a given range. This curve can be useful for the regulator to decide the appropriate amount of budget to invest. We extend our formulation to enforcement, taxation and non-personalised-incentive policies. We analytically show that our personalised-incentive policy is also optimal within this class of policies and construct close-to-optimal enforcement and proportional tax-subsidy policies. We then compare analytically and numerically our policy with other state-of-the-art policies. Finally, we simulate a large-scale application to mode choice to reduce CO2 emissions.
{"title":"Personalised incentives with constrained regulator's budget","authors":"Lucas Javaudin, Andrea Araldo, André de Palma","doi":"arxiv-2311.14417","DOIUrl":"https://doi.org/arxiv-2311.14417","url":null,"abstract":"We consider a regulator driving individual choices towards increasing social\u0000welfare by providing personal incentives. We formalise and solve this problem\u0000by maximising social welfare under a budget constraint. The personalised\u0000incentives depend on the alternatives available to each individual and on her\u0000preferences. A polynomial time approximation algorithm computes a policy within\u0000few seconds. We analytically prove that it is boundedly close to the optimum.\u0000We efficiently calculate the curve of social welfare achievable for each value\u0000of budget within a given range. This curve can be useful for the regulator to\u0000decide the appropriate amount of budget to invest. We extend our formulation to\u0000enforcement, taxation and non-personalised-incentive policies. We analytically\u0000show that our personalised-incentive policy is also optimal within this class\u0000of policies and construct close-to-optimal enforcement and proportional\u0000tax-subsidy policies. We then compare analytically and numerically our policy\u0000with other state-of-the-art policies. Finally, we simulate a large-scale\u0000application to mode choice to reduce CO2 emissions.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535080","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Starting from a corpus of economic articles from The Wall Street Journal, we present a novel systematic way to analyse news content that evolves over time. We leverage on state-of-the-art natural language processing techniques (i.e. GPT3.5) to extract the most important entities of each article available, and aggregate co-occurrence of entities in a related graph at the weekly level. Network analysis techniques and fuzzy community detection are tested on the proposed set of graphs, and a framework is introduced that allows systematic but interpretable detection of topics and narratives. In parallel, we propose to consider the sentiment around main entities of an article as a more accurate proxy for the overall sentiment of such piece of text, and describe a case-study to motivate this choice. Finally, we design features that characterise the type and structure of news within each week, and map them to moments of financial markets dislocations. The latter are identified as dates with unusually high volatility across asset classes, and we find quantitative evidence that they relate to instances of high entropy in the high-dimensional space of interconnected news. This result further motivates the pursued efforts to provide a novel framework for the systematic analysis of narratives within news.
{"title":"Narratives from GPT-derived Networks of News, and a link to Financial Markets Dislocations","authors":"Deborah Miori, Constantin Petrov","doi":"arxiv-2311.14419","DOIUrl":"https://doi.org/arxiv-2311.14419","url":null,"abstract":"Starting from a corpus of economic articles from The Wall Street Journal, we\u0000present a novel systematic way to analyse news content that evolves over time.\u0000We leverage on state-of-the-art natural language processing techniques (i.e.\u0000GPT3.5) to extract the most important entities of each article available, and\u0000aggregate co-occurrence of entities in a related graph at the weekly level.\u0000Network analysis techniques and fuzzy community detection are tested on the\u0000proposed set of graphs, and a framework is introduced that allows systematic\u0000but interpretable detection of topics and narratives. In parallel, we propose\u0000to consider the sentiment around main entities of an article as a more accurate\u0000proxy for the overall sentiment of such piece of text, and describe a\u0000case-study to motivate this choice. Finally, we design features that\u0000characterise the type and structure of news within each week, and map them to\u0000moments of financial markets dislocations. The latter are identified as dates\u0000with unusually high volatility across asset classes, and we find quantitative\u0000evidence that they relate to instances of high entropy in the high-dimensional\u0000space of interconnected news. This result further motivates the pursued efforts\u0000to provide a novel framework for the systematic analysis of narratives within\u0000news.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alicia Martin-Navarro, Maria Paula Lechuga Sancho, Jose Aurelio Medina-Garrido
BPMS (Business Process Management System) represents a type of software that automates the organizational processes looking for efficiency. Since the knowledge of organizations lies in their processes, it seems probable that a BPMS can be used to manage the knowledge applied in these processes. Through the BPMS-KM Support Model, this study aims to determine the reliability and validity of a 65-item instrument to measure the utility and the use of a BPMS for knowledge management (KM). A questionnaire was sent to 242 BPMS users and to determine its validity, a factorial analysis was conducted. The results showed that the measuring instrument is trustworthy and valid. It represents implications for research, since it provides an instrument validated for research on the success of a BPMS for KM. There would also be practical implications, since managers can evaluate the use of BPMS, in addition to automating processes to manage knowledge.
{"title":"Testing an instrument to measure the BPMS-KM Support Model","authors":"Alicia Martin-Navarro, Maria Paula Lechuga Sancho, Jose Aurelio Medina-Garrido","doi":"arxiv-2311.14348","DOIUrl":"https://doi.org/arxiv-2311.14348","url":null,"abstract":"BPMS (Business Process Management System) represents a type of software that\u0000automates the organizational processes looking for efficiency. Since the\u0000knowledge of organizations lies in their processes, it seems probable that a\u0000BPMS can be used to manage the knowledge applied in these processes. Through\u0000the BPMS-KM Support Model, this study aims to determine the reliability and\u0000validity of a 65-item instrument to measure the utility and the use of a BPMS\u0000for knowledge management (KM). A questionnaire was sent to 242 BPMS users and\u0000to determine its validity, a factorial analysis was conducted. The results\u0000showed that the measuring instrument is trustworthy and valid. It represents\u0000implications for research, since it provides an instrument validated for\u0000research on the success of a BPMS for KM. There would also be practical\u0000implications, since managers can evaluate the use of BPMS, in addition to\u0000automating processes to manage knowledge.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138534978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alicia Martin-Navarro, Felix Velicia-Martin, Jose Aurelio Medina-Garrido, Pedro R. Palos-Sanchez
For decades, entrepreneurship has been promoted in academia and tourism sector and has it been seen as an opportunity for new business ventures. In terms of entrepreneurial behavior, effectual logic shows how the individual uses his or her resources to create new opportunities. In this context, this paper aims to determine effectual propensity as an antecedent of entrepreneurial intentions. For this purpose, and based on the TPB model, we conducted our research with tourism students from Cadiz and Seville (Spain) universities with Smart PLS 3. The results show that effectual propensity influences entrepreneurial intentions and that attitude and perceived behavioral control mediate between subjective norms and intentions. Our research has a great added value since we have studied for the first time efficacious propensity as an antecedent of intentions in people who have never been entrepreneurs.
{"title":"Impact of effectual propensity on entrepreneurial intention","authors":"Alicia Martin-Navarro, Felix Velicia-Martin, Jose Aurelio Medina-Garrido, Pedro R. Palos-Sanchez","doi":"arxiv-2311.14340","DOIUrl":"https://doi.org/arxiv-2311.14340","url":null,"abstract":"For decades, entrepreneurship has been promoted in academia and tourism\u0000sector and has it been seen as an opportunity for new business ventures. In\u0000terms of entrepreneurial behavior, effectual logic shows how the individual\u0000uses his or her resources to create new opportunities. In this context, this\u0000paper aims to determine effectual propensity as an antecedent of\u0000entrepreneurial intentions. For this purpose, and based on the TPB model, we\u0000conducted our research with tourism students from Cadiz and Seville (Spain)\u0000universities with Smart PLS 3. The results show that effectual propensity\u0000influences entrepreneurial intentions and that attitude and perceived\u0000behavioral control mediate between subjective norms and intentions. Our\u0000research has a great added value since we have studied for the first time\u0000efficacious propensity as an antecedent of intentions in people who have never\u0000been entrepreneurs.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535154","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I analyze the risk-coping behaviors among factory worker households in early 20th-century Tokyo. I digitize a unique daily longitudinal survey dataset on household budgets to examine the extent to which consumption is affected by idiosyncratic shocks. I find that while the households were so vulnerable that the shocks impacted their consumption levels, the income elasticity for food consumption is relatively low in the short-run perspective. The result from mechanism analysis suggests that credit purchases played a role in smoothing the short-run food consumption. The event-study analysis using the adverse health shock as the idiosyncratic income shock confirms the robustness of the results. I also find evidence that the misassignment of payday in data aggregation results in a systematic attenuation bias due to measurement error.
{"title":"Consumption Smoothing in Metropolis: Evidence from the Working-class Households in Prewar Tokyo","authors":"Kota Ogasawara","doi":"arxiv-2311.14320","DOIUrl":"https://doi.org/arxiv-2311.14320","url":null,"abstract":"I analyze the risk-coping behaviors among factory worker households in early\u000020th-century Tokyo. I digitize a unique daily longitudinal survey dataset on\u0000household budgets to examine the extent to which consumption is affected by\u0000idiosyncratic shocks. I find that while the households were so vulnerable that\u0000the shocks impacted their consumption levels, the income elasticity for food\u0000consumption is relatively low in the short-run perspective. The result from\u0000mechanism analysis suggests that credit purchases played a role in smoothing\u0000the short-run food consumption. The event-study analysis using the adverse\u0000health shock as the idiosyncratic income shock confirms the robustness of the\u0000results. I also find evidence that the misassignment of payday in data\u0000aggregation results in a systematic attenuation bias due to measurement error.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jose Aurelio Medina-Garrido, Jose Maria Biedma-Ferrer, Maria Bogren
The study of work-family conflict (WFC) and work-family policies (WFP) and their impact on the well-being of employees in the tourism sector is increasingly attracting the attention of researchers. To overcome the adverse effects of WFC, managers should promote WFP, which contribute to increased well-being at work and employees' commitment. This paper aims to analyze the impact of WFP accessibility and organizational support on well-being directly and by mediating the organizational commitment that these policies might encourage. In addition, we also study whether these relationships vary according to gender and employee seniority. To test the hypotheses derived from this objective, we collected 530 valid and completed questionnaires from workers in the tourism sector in Spain, which we analyzed using structural equation modeling based on the PLS-SEM approach. The results show that human resource management must consider the importance of organizational support for workers to make WFP accessible and generate organizational commitment and well-being at work.
{"title":"Organizational support for work-family life balance as an antecedent to the well-being of tourism employees in Spain","authors":"Jose Aurelio Medina-Garrido, Jose Maria Biedma-Ferrer, Maria Bogren","doi":"arxiv-2311.14009","DOIUrl":"https://doi.org/arxiv-2311.14009","url":null,"abstract":"The study of work-family conflict (WFC) and work-family policies (WFP) and\u0000their impact on the well-being of employees in the tourism sector is\u0000increasingly attracting the attention of researchers. To overcome the adverse\u0000effects of WFC, managers should promote WFP, which contribute to increased\u0000well-being at work and employees' commitment. This paper aims to analyze the\u0000impact of WFP accessibility and organizational support on well-being directly\u0000and by mediating the organizational commitment that these policies might\u0000encourage. In addition, we also study whether these relationships vary\u0000according to gender and employee seniority. To test the hypotheses derived from\u0000this objective, we collected 530 valid and completed questionnaires from\u0000workers in the tourism sector in Spain, which we analyzed using structural\u0000equation modeling based on the PLS-SEM approach. The results show that human\u0000resource management must consider the importance of organizational support for\u0000workers to make WFP accessible and generate organizational commitment and\u0000well-being at work.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We study a generic principal-agent problem in continuous time on a finite time horizon. We introduce a framework in which the agent is allowed to employ measure-valued controls and characterise the continuation utility as a solution to a specific form of a backward stochastic differential equation driven by a martingale measure. We leverage this characterisation to prove that, under appropriate conditions, an optimal solution to the principal's problem exists, even when constraints on the contract are imposed. In doing so, we employ compactification techniques and, as a result, circumvent the typical challenge of showing well-posedness for a degenerate partial differential equation with potential boundary conditions, where regularity problems often arise.
{"title":"Randomisation with moral hazard: a path to existence of optimal contracts","authors":"Daniel Kršek, Dylan Possamaï","doi":"arxiv-2311.13278","DOIUrl":"https://doi.org/arxiv-2311.13278","url":null,"abstract":"We study a generic principal-agent problem in continuous time on a finite\u0000time horizon. We introduce a framework in which the agent is allowed to employ\u0000measure-valued controls and characterise the continuation utility as a solution\u0000to a specific form of a backward stochastic differential equation driven by a\u0000martingale measure. We leverage this characterisation to prove that, under\u0000appropriate conditions, an optimal solution to the principal's problem exists,\u0000even when constraints on the contract are imposed. In doing so, we employ\u0000compactification techniques and, as a result, circumvent the typical challenge\u0000of showing well-posedness for a degenerate partial differential equation with\u0000potential boundary conditions, where regularity problems often arise.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this work, we contribute the first visual open-source empirical study on human behaviour during the COVID-19 pandemic, in order to investigate how compliant a general population is to mask-wearing-related public-health policy. Object-detection-based convolutional neural networks, regression analysis and multilayer perceptrons are combined to analyse visual data of the Viennese public during 2020. We find that mask-wearing-related government regulations and public-transport announcements encouraged correct mask-wearing-behaviours during the COVID-19 pandemic. Importantly, changes in announcement and regulation contents led to heterogeneous effects on people's behaviour. Comparing the predictive power of regression analysis and neural networks, we demonstrate that the latter produces more accurate predictions of population reactions during the COVID-19 pandemic. Our use of regression modelling also allows us to unearth possible causal pathways underlying societal behaviour. Since our findings highlight the importance of appropriate communication contents, our results will facilitate more effective non-pharmaceutical interventions to be developed in future. Adding to the literature, we demonstrate that regression modelling and neural networks are not mutually exclusive but instead complement each other.
{"title":"Do we listen to what we are told? An empirical study on human behaviour during the COVID-19 pandemic: neural networks vs. regression analysis","authors":"Yuxi Heluo, Kexin Wang, Charles W. Robson","doi":"arxiv-2311.13046","DOIUrl":"https://doi.org/arxiv-2311.13046","url":null,"abstract":"In this work, we contribute the first visual open-source empirical study on\u0000human behaviour during the COVID-19 pandemic, in order to investigate how\u0000compliant a general population is to mask-wearing-related public-health policy.\u0000Object-detection-based convolutional neural networks, regression analysis and\u0000multilayer perceptrons are combined to analyse visual data of the Viennese\u0000public during 2020. We find that mask-wearing-related government regulations\u0000and public-transport announcements encouraged correct mask-wearing-behaviours\u0000during the COVID-19 pandemic. Importantly, changes in announcement and\u0000regulation contents led to heterogeneous effects on people's behaviour.\u0000Comparing the predictive power of regression analysis and neural networks, we\u0000demonstrate that the latter produces more accurate predictions of population\u0000reactions during the COVID-19 pandemic. Our use of regression modelling also\u0000allows us to unearth possible causal pathways underlying societal behaviour.\u0000Since our findings highlight the importance of appropriate communication\u0000contents, our results will facilitate more effective non-pharmaceutical\u0000interventions to be developed in future. Adding to the literature, we\u0000demonstrate that regression modelling and neural networks are not mutually\u0000exclusive but instead complement each other.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Some people did not get the COVID-19 vaccine even though it was offered at no cost. A monetary incentive might lead people to vaccinate, although existing studies have provided different findings about this effect. We investigate how monetary incentives differ according to individual characteristics. Using panel data with online experiments, we found that (1) subsidies reduced vaccine intention but increased it after controlling heterogeneity; (2) the stronger the social image against the vaccination, the lower the monetary incentive; and (3) persistently unvaccinated people would intend to be vaccinated only if a large subsidy was provided.
{"title":"Would Monetary Incentives to COVID-19 vaccination reduce motivation?","authors":"Eiji Yamamura, Yoshiro Tsutsui, Fumio Ohtake","doi":"arxiv-2311.11828","DOIUrl":"https://doi.org/arxiv-2311.11828","url":null,"abstract":"Some people did not get the COVID-19 vaccine even though it was offered at no\u0000cost. A monetary incentive might lead people to vaccinate, although existing\u0000studies have provided different findings about this effect. We investigate how\u0000monetary incentives differ according to individual characteristics. Using panel\u0000data with online experiments, we found that (1) subsidies reduced vaccine\u0000intention but increased it after controlling heterogeneity; (2) the stronger\u0000the social image against the vaccination, the lower the monetary incentive; and\u0000(3) persistently unvaccinated people would intend to be vaccinated only if a\u0000large subsidy was provided.","PeriodicalId":501487,"journal":{"name":"arXiv - QuantFin - Economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138535144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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