A decomposition approach to labour market forecasting

Giesecke, James; Tran, Nhi; Meagher, Gerald; Pang, F

doi:10.1080/13547860.2014.964964

Cited by 6 publications

(5 citation statements)

References 21 publications

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“…This implies that higher wages may increase the demand for labor, which in turn may increase the employment coefficient. This relationship is similar to [12]; higher wage expands employment across qualifications. For higher-value-added industries, wage increases may positively impact employment, as firms rely on skilled labor and quality service provision to expand their operations.…”

Section: Estimation Resultsmentioning

confidence: 67%

“…This paper enhances our understanding of labor force dynamics and forecasting techniques specific to Latvia. In the case of data limitation, especially for developing countries, [12] demonstrates the application of the CGE model for labor market forecasting and conducts a decomposition analysis to identify the underlying factors that drive labor market changes. Applying the method to Vietnam's economy demonstrates its effectiveness in generating detailed labor market projections and highlighting the underlying factors shaping the forecasts.…”

Section: Literature Reviewmentioning

confidence: 99%

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Labor Demand Forecasting: The Case of Cambodia

Sereyvuth

2023

Bulletin of Applied Economics

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Labor demand forecasting is crucial for Cambodia’s economic prosperity. This is because it enables the country to make well-informed decisions and implement effective policies that align with the changing dynamics of its labor market to promote sustainable economic progress. This study utilizes a demand-driven model; specifically, the autoregressive integrated moving average (ARIMA) model with a top-down approach to forecast Cambodia’s labor demand from 2020 to 2025. By capturing current and future labor market trends, we can identify skill requirements and ensure high employment rates for sustainable development. With labor demand forecasting, Cambodia can proactively address skill gaps, optimize workforce planning, and foster an environment conducive to economic growth and stability. JEL classification: C82, J21, J23. Keywords: Labor demand, Employment forecasting, ARIMA, Top-down forecasting.

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Section: Estimation Resultsmentioning

confidence: 67%

Section: Literature Reviewmentioning

confidence: 99%

Labor Demand Forecasting: The Case of Cambodia

Sereyvuth

2023

Bulletin of Applied Economics

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“…Between 2010 and 2020, Vietnam's human capital index increased from 0.66 to 0.69 [43]. In general, there is more supply than demand on the Vietnamese labor market [44]. However, inadequate attention has been paid to human resources training, and the necessary actions are not being implemented [45].…”

Section: Discussionmentioning

confidence: 99%

Urbanization and Post-Acquisition Livelihood in a Peri-Urban Context in Vietnam: A Geographical Comparison between Hanoi, Danang, and Vinh City

Tuan

Hegedűs

2022

Land

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The process of transitioning from a rural to an urban setting and from an agricultural to an industrial economy is referred to as urbanization, a complex socioeconomic process. Peri-urbanization is very common in Vietnam, and urban centers are expanding into rural areas. However, there is frequently insufficient infrastructure to support such development. As a result of the restricted availability of land, urbanization frequently necessitates the acquisition of agricultural property by the state in order to encourage development. In this study, we compare land acquisition and compensation policies with post-acquisition livelihoods in Vietnam across urban strata. The study sites are urban regions of Hanoi, Danang, and Vinh. We collected qualitative and quantitative data via 370 questionnaires and 30 interviews. Our results indicate that policy implementation was lower in larger cities, but the post-acquisition employment of affected households followed the opposite trend. In all three locations, most households used compensation money to repay debt, repair or purchase assets such as homes and personal modes of transportation, and invest in future generations. After acquisition, Danang experienced a decline in their quality of life, as measured by their savings and their level of perceived comfort, whereas the other two cities saw an increase. Only Hanoi reported a higher level of post-acquisition life satisfaction. Post-acquisition livelihood is influenced in some way by each of the five variables that make up the sustainable livelihood model: natural, human, physical, social, and financial capital.

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“…Job market forecasting predicts future employment trends. The profession and its required skills along with the vacancy numbers are predicted [40], [41]. The skills required for the target position will be analysed from the resume.…”

Section: The Major Applications Of Ai In Recruitmentmentioning

confidence: 99%

A study on the impact of artificial intelligence on talent sourcing

Hemachandran,

Kumar,

Sikanda

et al. 2024

IJ-AI

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<p class="p1"><span lang="EN-US">Talent sourcing is one of the most effective mechanisms to engage with the talent pool and convert a candidate into an applicant. Today, machine learning has emerged as a trend to assist employers in addressing recruitment challeng-es with the help of tools such as neuro-linguistic programming (NLP) and automated assessments. 80% of the executives strongly believe deep learning makes candidate screening highly efficient. Including current start-ups globally, only 15% use artificial intelligence (AI) and are expected to increase by 31%. The study focused on the impact of AI in recruitment process. There are a few metrics, such as application completion rate, number of candidates per filled position, cost per hire, and so on. Here we would like to analyze the impact of using AI in various phases of hiring in the organization.</span></p>

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A decomposition approach to labour market forecasting

Cited by 6 publications

References 21 publications

Labor Demand Forecasting: The Case of Cambodia

Labor Demand Forecasting: The Case of Cambodia

Urbanization and Post-Acquisition Livelihood in a Peri-Urban Context in Vietnam: A Geographical Comparison between Hanoi, Danang, and Vinh City

A study on the impact of artificial intelligence on talent sourcing

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