Labour Market Skills, Endogenous Productivity and Business Cycles

Abbritti, Mirko; Consolo, Agostino

doi:10.2139/ssrn.4046331

Cited by 6 publications

(4 citation statements)

References 35 publications

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“…However, this study is supported by research conducted by Abbritti and Consolo (2003); P. W. H. Hasibuan and Bangun (2020), which stated that competence, when considered individually, does not significantly influence employee work productivity. Based on the distributed questionnaire data, the respondents' feedback with the highest score for statements related to this variable is "I am capable of making decisions related to work," while the lowest score is related to the statement "I am capable of refining ideas verbally and in writing."…”

Section: Influence Of Competence On Employee Productivitysupporting

confidence: 52%

“…Likewise, Prada, Rucci, and Urzúa (2019) propose that honing personal concepts and refining employee skills through specialized training can unlock untapped potential, consequently elevating work productivity. Reinforcing this sentiment, the research conducted by Savery (1996); Abbritti and Consolo (2003); Demerjian et al (2012) underscores that competence holds a positive sway on employee work productivity. This is attributed to employees who embody responsible attributes, harbor affirmative personal concepts, boast an expansive grasp of their field, wield dependable and pertinent skills, and embrace accountability for their workloads.…”

Section: Hypothesis Developmentmentioning

confidence: 98%

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How Do Work Discipline, Compensation And Competence Influence Employee Productivity?

Pramesti,

Azizah

2023

JPS

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Islamic banks require employee productivity, where employee productivity indicates the continuity of bank business productivity. This research aims to analyze the extent to which work discipline, compensation, and competence impact employee productivity. The research uses a quantitative approach with primary data in the form of a questionnaire. The data analysis technique uses partial least squares structural equation statistical modelling, and data processing is carried out using SmartPLS 3.0 software. The population of this study was all employees of Bank Muamalat, Yogyakarta’s main branch office (MBO), totalling 65 people. The research sample consisted of 65 employees selected using a saturated sampling procedure. The research results show a positive and statistically significant impact between work discipline and employee productivity. However, the results of this study did not identify a significant impact between compensation and competency on employee productivity. The results of this research can complement existing theories and can be used as material for consideration and information for Bank Muamalat Yogyakarta’s MBO in making decisions to increase employee productivity.

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Section: Influence Of Competence On Employee Productivitysupporting

confidence: 52%

Section: Hypothesis Developmentmentioning

confidence: 98%

How Do Work Discipline, Compensation And Competence Influence Employee Productivity?

Pramesti,

Azizah

2023

JPS

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“…These types of shocks have been mostly analysed within general equilibrium models, and they are described as exogenous shifts in the disutility of labour, in workers bargaining power or in job matching efficiency (see e.g. Christoffel, Kuester, and Linzert, 2009; Gertler and Trigari, 2009; Blanchard and Gal,í 2010; Abbritti and Consolo, 2022).…”

Section: Introductionmentioning

confidence: 99%

A Mixed Frequency BVAR for the Euro Area Labour Market*

2023

Self Cite

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We introduce a Bayesian mixed frequency VAR model for the aggregate euro area labour market that features a structural identification via sign restrictions. The purpose of this paper is twofold: we aim at (i) providing reliable and timely forecasts of key labour market variables and (ii) enhancing the economic interpretation of the main movements in the labour market. We find satisfactory results in terms of nowcasting and forecasting, especially for employment growth. Furthermore, we look into the shocks that drove the labour market and macroeconomic dynamics from 2002 to 2022, with an insight also on the COVID‐19 recession. While demand shocks were the main drivers during the Global Financial Crisis, technology and wage bargaining factors, reflecting the degree of lockdown‐related restrictions and job retention schemes, have been important drivers of key labour market variables during the pandemic.

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“…In a final exercise, we gauge the different drivers of labor marker fluctuations during the pandemic, through the lens of a Bayesian Structural Vector Autoregression (SVAR) framework. We employ a novel identification strategy, using sign restrictions disciplined from a New Keynesian search and matching model Abbritti & Consolo (2022); in particular, we distinguish between reallocation shocks and other supply shocks. The results point to a relatively minor role for a reallocation shock in driving hires and separations over the pandemic period.…”

Section: Introductionmentioning

confidence: 99%