Task-specific human capital and returns to specialization: evidence from association football

2021 ◽  
Author(s):  
Karol Kempa
Keyword(s):  
Human Capital ◽  
Fixed Effects ◽  
Football Players ◽  
Task Specialization ◽  
Data Set ◽  
Team Members ◽  
Regression Methods ◽  
Specific Human Capital ◽  
The Impact ◽  
Salary Distribution

Abstract This paper analyses returns to task specialization using a unique panel data set of professional football players in the German Bundesliga. Based on accumulated task-specific human capital, I measure whether a player is rather a specialist in one task or a generalist able to perform several tasks. Using OLS, fixed effects, and quantile regression methods (with individual fixed effects), I analyse the impact of specialization on remuneration. Differentiating by player role in team production, I find that core team members, i.e. starting players, exhibit positive returns to specialization, which increase at higher salary quantiles. In contrast, substitutes, in particular those in the lower half of the conditional salary distribution, seem to benefit from being generalists, which renders them more attractive as substitute players for their teams. The paper discusses implications of the findings for other labour market contexts.

scholarly journals Human Capital Formation and Economic Growth in Emerging Asia: Empirical Evidence Using Panel Data

2020 ◽  
Vol 3 (2) ◽  
pp. 205-212
Author(s):  
Muhammad Atiq-ur- Rehman ◽  
Suleman Ghaffar ◽  
Kanwal Shahzadi ◽  
Rabail Ghazanfar
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Fixed Effects ◽  
Random Effect ◽  
Capital Formation ◽  
Human Capital Formation ◽  
Data Set ◽  
The Government ◽  
The Impact

After the emergence of endogenous growth theory, the role of human capital along with physical capital is considered to be imperative in promoting economic growth. The government social sector spending, mainly on education and health, contributes in forming human capital and promotes economic growth. This study examines the impact of health and education provisions on economic growth of emerging Asian economies, including Bangladesh, China, India, Indonesia, Malaysia, Pakistan, Philippine, and Thailand. Using the data set for 1995-2018, the fixed effects (FE) and the random effect (RE) methods of panel data estimation are employed. Both methods reveal that the health and education support the human capital formation and stimulate economic growth.

scholarly journals Change in occupational tasks and its implications: evidence from a task panel from 1973 to 2011 for Western Germany

2021 ◽  
Author(s):  
Tobias Maier
Keyword(s):  
Human Capital ◽  
Institutional Economics ◽  
Labor Demand ◽  
Sociological Research ◽  
Cross Sectional ◽  
Data Set ◽  
Capital Theory ◽  
Task Change ◽  
Western Germany ◽  
Specific Human Capital

AbstractThe change of tasks in occupations is of interest to economic and sociological research from three perspectives. The task-based technological change approach describes tasks as the link between capital input and labor demand. In human capital theory, tasks are used to distinguish between general and specific human capital. Moreover, in institutional economics or sociology, it is argued that the specificity of occupations influences the marketability of the corresponding skills and tasks. However, data sources that illustrate task change within occupations are rare. The objective of this paper is therefore to introduce a task panel, which is created based on 16 cross-sectional surveys from between 1973 and 2011 of the German microcensus (Labor-Force-Survey), as an additional source to monitor task change. I present and discuss the harmonization method for eleven main activities that are exercised by the incumbents of the occupation within 176 occupational groups. To demonstrate the research potential of this novel data source, I develop an alternative theoretical view on the task-technology framework and classify the harmonized tasks according to their relationship to technological inventions in the third industrial (micro-electronic) revolution (technologically replaceable, technology-accompanying, technology-complementary and technologically neutral). Matching the task panel to an already existing Occupational Panel (OccPan) for Western Germany from 1976 to 2010, I can use fixed-effect regressions to show that changes of tasks within occupations correspond with theoretical expectations regarding the median wage growth of an occupation. The task panel can be matched to any data set containing a German classification of occupations from 1975, 1988 or 1992 to investigate further effects of task change on individual labor market success.

Exploring the impact of intellectual capital on company reputation and performance

2018 ◽  
Vol 19 (5) ◽  
pp. 915-934 ◽  
Author(s):  
Gianluca Ginesti ◽  
Adele Caldarelli ◽  
Annamaria Zampella
Keyword(s):  
Human Capital ◽  
Intellectual Capital ◽  
Corporate Reputation ◽  
Intangible Asset ◽  
Competition Authority ◽  
Data Set ◽  
Content Type ◽  
Capital Efficiency ◽  
And Performance ◽  
The Impact

Purpose The purpose of this paper is to analyse the impact of intellectual capital (IC) on the reputation and performance of Italian companies. Design/methodology/approach The paper exploits a unique data set of 452 non-listed companies that obtained a reputational assessment from the Italian Competition Authority (ICA). To test the hypotheses, this study implemented several regression analyses. Findings Results support the argument that human capital efficiency is a key driver of corporate reputation. Findings also reveal that companies, which obtained reputational rating under ICA scrutiny, show a positive relationship between IC elements and various measures of financial performance. Research limitations/implications The study focuses on a single country; it is not free from the imprecisions of Pulic’s VAIC model. Practical implications This paper recommends companies that are interested to achieve a robust reputation should consider the human capital as a strategic intangible asset. Second, the results suggest that companies with an ICA reputational rating are able to leverage their intangibles to potentiate performance and competitiveness. Originality/value This is the first empirical investigation on the contribution of IC in generating value for corporate reputation. Additionally, the study contributes to the literature on the link between IC and performance by examining a sample of firms not yet explored in prior research.

scholarly journals IMPACT OF HUMAN CAPITAL DEVELOPMENT ON PRODUCTIVITY GROWTH IN EU MEMBER STATES

2018 ◽  
Vol 16 (0) ◽  
pp. 1-12 ◽  
Author(s):  
Alma Mačiulytė-Šniukienė ◽  
Kristina Matuzevičiūtė
Keyword(s):  
Human Capital ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Labour Productivity ◽  
Ordinary Least Squares ◽  
Fixed Effects Model ◽  
Education Expenditure ◽  
Member States ◽  
Eu Member States ◽  
The Impact

In this research, we investigate the impact of human capital on labour productivity in European Union member states using panel data analysis. Results of the paper are estimated using the Pooled ordinary least squares (OLS) and Fixed effects model (FEM). The results show that human capital is positively significant in improving the growth of labour productivity in the EU. Our estimates also suggest that the impact occurs after three times lags in case of education expenditure.

scholarly journals Population Pharmacokinetics of Fluconazole in Young Infants

2008 ◽  
Vol 52 (11) ◽  
pp. 4043-4049 ◽  
Author(s):  
K. C. Wade ◽  
D. Wu ◽  
D. A. Kaufman ◽  
R. M. Ward ◽  
D. K. Benjamin ◽  
...  
Keyword(s):  
Fixed Effects ◽  
Compartment Model ◽  
Volume Of Distribution ◽  
Relative Standard Error ◽  
Data Set ◽  
Mixed Effect ◽  
Young Infants ◽  
Relative Standard ◽  
Population Pk ◽  
The Impact

ABSTRACT Fluconazole is being increasingly used to prevent and treat invasive candidiasis in neonates, yet dosing is largely empirical due to the lack of adequate pharmacokinetic (PK) data. We performed a multicenter population PK study of fluconazole in 23- to 40-week-gestation infants less than 120 days of age. We developed a population PK model using nonlinear mixed effect modeling (NONMEM) with the NONMEM algorithm. Covariate effects were predefined and evaluated based on estimation precision and clinical significance. We studied fluconazole PK in 55 infants who at enrollment had a median (range) weight of 1.02 (0.440 to 7.125) kg, a gestational age at birth (BGA) of 26 (23 to 40) weeks, and a postnatal age (PNA) of 2.3 (0.14 to 12.6) weeks. The final data set contained 357 samples; 217/357 (61%) were collected prospectively at prespecified time intervals, and 140/357 (39%) were scavenged from discarded clinical specimens. Fluconazole population PK was best described by a one-compartment model with covariates normalized to median values. The population mean clearance (CL) can be derived for this population by the equation CL (liter/h) equals 0.015 · (weight/1)0.75 · (BGA/26)1.739 · (PNA/2)0.237 · serum creatinine (SCRT)−4.896 (when SCRT is >1.0 mg/dl), and using a volume of distribution (V) (liter) of 1.024 · (weight/1). The relative standard error around the fixed effects point estimates ranged from 3 to 24%. CL doubles between birth and 28 days of age from 0.008 to 0.016 and from 0.010 to 0.022 liter/kg/h for typical 24- and 32-week-gestation infants, respectively. This population PK model of fluconazole discriminated the impact of BGA, PNA, and creatinine on drug CL. Our data suggest that dosing in young infants will require adjustment for BGA and PNA to achieve targeted systemic drug exposures.

scholarly journals Tourism under the Early Phase of COVID-19 in Four APEC Economies: An Estimation with Special Focus on SARS Experiences

2020 ◽  
Vol 17 (20) ◽  
pp. 7543
Author(s):  
Bao-Linh Tran ◽  
Chi-Chung Chen ◽  
Wei-Chun Tseng ◽  
Shu-Yi Liao
Keyword(s):  
Hong Kong ◽  
New Zealand ◽  
Fixed Effects ◽  
Negative Impact ◽  
Asia Pacific ◽  
International Tourism ◽  
Special Focus ◽  
Tourism Demand ◽  
Data Set ◽  
The Impact

This study examines how experience of severe acute respiratory syndrome (SARS) influences the impact of coronavirus disease (COVID-19) on international tourism demand for four Asia-Pacific Economic Cooperation (APEC) economies, Taiwan, Hong Kong, Thailand, and New Zealand, over the 1 January–30 April 2020 period. To proceed, panel regression models are first applied with a time-lag effect to estimate the general effects of COVID-19 on daily tourist arrivals. In turn, the data set is decomposed into two nation groups and fixed effects models are employed for addressing the comparison of the pandemic-tourism relationship between economies with and without experiences of the SARS epidemic. Specifically, Taiwan and Hong Kong are grouped as economies with SARS experiences, while Thailand and New Zealand are grouped as countries without experiences of SARS. The estimation result indicates that the number of confirmed COVID-19 cases has a significant negative impact on tourism demand, in which a 1% COVID-19 case increase causes a 0.075% decline in tourist arrivals, which is a decline of approximately 110 arrivals for every additional person infected by the coronavirus. The negative impact of COVID-19 on tourist arrivals for Thailand and New Zealand is found much stronger than for Taiwan and Hong Kong. In particular, the number of tourist arrivals to Taiwan and Hong Kong decreased by 0.034% in response to a 1% increase in COVID-19 confirmed cases, while in Thailand and New Zealand, a 1% national confirmed cases increase caused a 0.103% reduction in tourism demand. Moreover, the effect of the number of domestic cases on international tourism is found lower than the effect caused by global COVID-19 mortality for the economies with SARS experiences. In contrast, tourist arrivals are majorly affected by the number of confirmed COVID-19 cases in Thailand and New Zealand. Finally, travel restriction in all cases is found to be the most influencing factor for the number of tourist arrivals. Besides contributing to the existing literature focusing on the knowledge regarding the nexus between tourism and COVID-19, the paper’s findings also highlight the importance of risk perception and the need of transmission prevention and control of the epidemic for the tourism sector.

scholarly journals Early Careers of Dropouts from Vocational Training: Signals, Human Capital Formation, and Training Firms

2020 ◽  
Vol 36 (5) ◽  
pp. 741-759
Author(s):  
Alexander Patzina ◽  
Gabriele Wydra-Somaggio
Keyword(s):  
Human Capital ◽  
Vocational Training ◽  
Fixed Effects ◽  
Career Progression ◽  
Labour Markets ◽  
Dropping Out ◽  
Negative Consequences ◽  
Human Capital Development ◽  
Data Set ◽  
Capital Development

Abstract Dropping out of post-secondary education has negative consequences for career progression. However, as human capital theory predicts and as previous studies have shown, having some training still pays off. For a large part of the European workforce who has attended vocational training, however, the theoretical predictions are less clear and empirical studies are scarce. In occupational labour markets, signalling and credentialism theories predict negative effects of dropping out. Furthermore, apprenticeship dropouts learn at different training firms, which differ in their influence on human capital development and the provision of job opportunities. Relying on a unique panel data set from Germany and estimating normalized fixed effects growth curve estimators, our study reveals the following results. First, the timing of dropping out structures career progression, as late dropouts have the highest employment rates and highest wages within the dropout population. However, in an occupational labour market setting, credentials and signals are still highly important for career progression, as the wage advantage of late dropouts within the dropout population is rather small, and late dropouts suffer a wage penalty when we compare their wage profiles to those of graduates. Second, our study emphasizes the importance of training firms, which influence the human capital development of individuals during the course of training and provide dropouts with connections to their first jobs. Thus, in occupational labour markets, the consequences of dropping out depend mainly on different mechanisms, as in other settings.

Attack, Damage and Carry: Role Familiarity and Team Performance in League of Legends

2018 ◽  
Vol 62 (1) ◽  
pp. 130-134 ◽  
Author(s):  
Joshua A. Eaton ◽  
David J. Mendonça ◽  
Matthew-Donald D. Sangster
Keyword(s):  
Virtual Teams ◽  
Team Performance ◽  
Positive Impact ◽  
Social Constructs ◽  
Data Set ◽  
Team Members ◽  
Gaming Environment ◽  
And Performance ◽  
The Impact ◽  
League Of Legends

Objective: This research studies the impact of role familiarity on team performance by examining performance of the “Carry” role in the Multi-player Online Battle Arena gaming environment, League of Legends™. Background: Roles are typically defined as stable patterns of expectations, relationships, and behaviors. As social constructs, roles therefore include notions of status, relationships with additional social actors, and of defined sets of behaviors tied to the assigned role. We hypothesize that the importance of role familiarity in teams is mediated by the nature and extent of team members’ experience working together in defined roles. Methods: The data set used for this study is from League of Legends’ Application Program Interface and consists of ranked match play from 2011–2016. Results: ANOVA and visualization techniques are used to explore match-level data in order to address the proposed research questions. The proportion of time the same team member is assigned to the “Carry” role (role familiarity) has a direct and positive impact on team performance. Conclusions: This study shows how objective, detailed data on teamwork may be used to provide insights into questions of the composition and performance of teams. Additionally, the results illustrate the importance of role familiarity in the performance of teams. Application: This research highlights the value and feasibility of studying virtual teams for new insights into team performance.

Financial development, human capital and its impact on economic growth of emerging countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aaqib Sarwar ◽  
Muhammad Asif Khan ◽  
Zahid Sarwar ◽  
Wajid Khan
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Financial Development ◽  
Emerging Economies ◽  
Generalized Method Of Moments ◽  
Emerging Countries ◽  
Data Set ◽  
Content Type ◽  
The World ◽  
The Impact

Purpose This paper aims to investigate the critical aspect of financial development, human capital and their interactive term on economic growth from the perspective of emerging economies. Design/methodology/approach Data set ranged from 2002 to 2017 of 83 emerging countries used in this research and collected from world development indicators of the World Bank. The two-step system generalized method of moments is used to conduct this research within the endogenous growth model while controlling time and country-specific effects. Findings The findings of the study indicate that financial development has a positive and significant effect on economic growth. In emerging countries, human capital also has a positive impact on economic growth. Financial development and human capital interactively affect economic growth for emerging economies positively and significantly. Research limitations/implications The data set is limited to 83 emerging countries of the world. The time period for the study is 2002 to 2017. Originality/value This research contributes to the existing literature on human capital, financial development and economic growth. Limited research has been conducted on the impact of financial development and human capital on economic growth.

Analyzing time pressure for software economics

2019 ◽  
Vol 32 (5) ◽  
pp. 758-777
Author(s):  
Seher Razzaq ◽  
Jianglin Huang ◽  
Hongyi Sun ◽  
Min Xie
Keyword(s):  
Communication Complexity ◽  
Time Pressure ◽  
Research Work ◽  
Well Being ◽  
Data Set ◽  
Content Type ◽  
Team Members ◽  
Software Economics ◽  
Free Environment ◽  
The Impact

Purpose The research on people and project factors is found extensively in general but not specific to software engineering. Secondly, the existing research has not concentrated on the communication and time complexity of the teams on software economics. The purpose this paper is to develop a model to investigate and quantify the impact of time pressure (TP) on software economics through the communication influence of software team sizes (TS). Design/methodology/approach A research model and five hypotheses are developed based on the gaps in the literature. The data set from International Software Benchmarking Standards Group repository is used for testing the hypotheses. Findings Important findings include: smaller TS tends to exert less TP on average; TP is directly proportional to software economics, however; and TP does not affect the productivity required for the software. Research limitations/implications The study has the following implications: Selection of an appropriate TS for project completion that ensures minimum pressure on team members; and maximize software outcomes in stress-free environment. Practical implications This work is useful for organizations carrying out software projects with teamwork. The project managers can benefit from the results while planning the team factors for achieving the project goals. Social implications The results uphold not to exert pressure on the team as it will not only affect the duly completion of the project but also the well-being of employees. Originality/value The paper is the first one where the proposition of TP estimation is done using TS and communication complexity, and empirically evaluating the impact of TP on four major software economics are the major key contributions of this research work.

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