The Process of Wage Adjustment: An Analysis Using Establishment-Level Data

Bayo‐Moriones, Alberto; Galdón-Sánchez, José E.; Martínez-de-Morentin, Sara

doi:10.2139/ssrn.1933355

Cited by 4 publications

References 48 publications

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Wage policy models: what implications for vulnerable employees?

Sgobbi

2015

International Journal of Manpower

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Purpose – This paper explores the impact of the employer’s wage policy on the wage dynamics of vulnerable groups of employees at large firms, including younger employees, employees on fixed-term contracts and employees who take parental leave.\ud Design/methodology/approach – The first step of the analysis identifies the wage policy models adopted by a sample of large Italian companies by means of a cluster analysis based on firm-level variables that describe the wage level, wage structure and wage dynamics. The second step estimates the impact of the employer’s wage policy on the wage growth path of matched employees, paying particular attention to groups of vulnerable workers.\ud Findings – The cluster analysis identifies four clusters whose characteristics reflect ideal types suggested by the literature. The 2SLS wage regressions that examine the impact of the employer’s wage policy model on a matched employee’s wage five years later confirm that the initial employer’s wage policy is a significant determinant of wage dynamics. However, the observed patterns significantly differ between the whole sample and the examined groups of vulnerable employees.\ud Originality/value – Despite consistent evidence of negative labour market outcomes for vulnerable employees, the impact of firm characteristics on segregation into disadvantaged groups is still under-researched. This paper provides new evidence of how the employer’s wage policy impacts the wage growth path of disadvantaged employees and highlights critical dimensions to reduce the risk of segregation into less favourable segments of the labour market

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Wage policy models: what implications for vulnerable employees?

Sgobbi

2015

International Journal of Manpower

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Wage adjustment practices in Russian firms

Rozhkova

Roshchin

Solntsev

2020

RMJ

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Wage adjustments for employees are a reactive mechanism to changing market conditions and form a significant part of pay policy. Though various attempts to explore wage levels and wage differentials have been made, wage adjustment policies remain an understudied topic. This paper analyses the determinants of wage adjustments based on data from Russian companies between 2015 and 2017. The analysis is based on detailed data from an employer survey covering more than 5 000 firms in both the public and private sectors. The study adopts probit models to identify the reasons for wage revisions, which depend on both internal employer characteristics and external labour market conditions. The results are in line with previous research on the topic and suggest that both internal and external factors influence wage adjustments. A wage adjustment is a reflection of an ability to pay, meaning that revisions are often made by successful firms with high employee turnover. It was also found that institutional frameworks, especially trade union activity, also affect a firm's decision to adjust wages, despite the widely-held belief that unions play an insignificant role in Russia. This study contributes to the limited literature by analyzing the determinants of wage policies depending on a firm's characteristics and is the first study of its kind based on extensive Russian data.

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Micro Course Recommendation Model Optimization based on User Behavior

Gao¹,

Wang²

2017

Proceedings of the 2017 International Conference on Innovations in Economic Management and Social Science (IEMSS 2017)

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Abstract. With the advent of the information era, it has brought a change to the education industry. As the network educational resources gradually increased, to obtain individual needs in the massive resources has become a headache problem for users. In the use of traditional search engines for information retrieval, users need to actively input the retrieval keywords, and the search results have no users individualization feature. In this case, recommendation technology has emerged as a complementary technique for search engine. In this paper, we combined recommendation technology with micro course system in the education field, through the establishment of user interest model, at last made use of the recommendation algorithm based on users as the bridge to link the user interest and micro course video resources, presented the video resources that users are satisfied with and interested in to the user, and completed personalized video recommendation. The combination of the recommendation model and the micro course has a positive effect on reducing the time needed to retrieve the video resources and improving the learning and working efficiency of teachers and students.

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The Process of Wage Adjustment: An Analysis Using Establishment-Level Data

Cited by 4 publications

References 48 publications

Wage policy models: what implications for vulnerable employees?

Wage policy models: what implications for vulnerable employees?

Wage adjustment practices in Russian firms

Micro Course Recommendation Model Optimization based on User Behavior

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