Sectoral labour reallocation: An agent-based model of structural change and growth

Gabardo, Francisco Adilson; Porcile, Gabriel; Pereima, João Basilio

doi:10.1016/j.econ.2019.03.003

Cited by 4 publications

(3 citation statements)

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“…A heterogeneous, multi-industry set-up, with constant allocation of consumption shares characterises the multi-country model in . A three-sector structural change model, modulated via Engel Law, is presented in Gabardo et al (2020). In general, this stream of ABM literature emphasizes the role of demand and consumption behaviours in shaping structural change.…”

Section: Related Evolutionary Agent-based Modelsmentioning

confidence: 99%

Technological paradigms, labour creation and destruction in a multi-sector agent-based model

et al. 2022

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Section: Related Evolutionary Agent-based Modelsmentioning

confidence: 99%

Technological paradigms, labour creation and destruction in a multi-sector agent-based model

et al. 2022

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“…Немногим меньшее влияние на количество работников с высоким уровнем навыков, динамику занятых со средним и высоким уровнями навыков оказывает доля промышленности в ВВП. С одной стороны, все большая доля занятых работает в сфере услуг в экономике каждой страны и в мире [Gabardo, Porcile, Pereima, 2020]. С другой стороны, информационная революция 1990-2000-х годов -период наращивания доли сферы услуг в ВВП в том числе за счет влияния технологий: в сфере услуг позже, чем в других секторах экономики, распространяются технологии, позволяющие нарастить масштаб производства [Buera, Kaboski, 2008].…”

Section: заключениеunclassified

Dynamics of demand for skills and industrial structure of economy: Developed and developing countries

Telezhkina

2022

SUJES

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The paper considers changes in the structure of employment by skill level in countries. Differences in dynamics of the shares of employed with high, medium and low skill levels is traditionally explained by differences in exposure to routine-biased technologies, participation in international trade, exposure to offshoring in the country. The current paper contributes to the literature about the drivers and determinants of changes in structure of employment by skill level considering the industrial structure to be the one of main factors. We assume that the dynamics of employees with high, medium and low skill levels depends on the shares of agriculture, manufacturing and service in the economy. Service industry has the largest share of employment; it is highly competitive and prone to the growing influence of large scale technologies. Using the data of 218 countries for the period 1989–2019 we prove that the greater the service industry in the economy, the higher the share of employed in high skill occupations in absolute value and relative to the share of employed in medium skill occupations. The faster the growth of service industry, the higher the growth rate of the number of employed in medium and high skill occupations. The share of manufacturing in GDP, the value of GDP per capita are the significant determinants of the dependent variables. We highlight substantial differences in the models of the structure of employment by skill level and its dynamics in the developed and developing countries, the oil exporting countries. The research results make it possible to identify and explain trends in structure of employment by skill level by the peculiarities of production in economy.

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“…In addition, their relationship and joint impact are likely. Boppart (2014), Gabardo et al (2019), Comin et al (2019) proposed models that allow us to analyze both explanations of structural changesincome and the relative prices (substitution) effectssimultaneously. For example, the Boppart (2014) model suggests that in 1946, 44 percent of observed structural changes are attributable to a relative price effects and 56 percent to the income effect; in 2011, the corresponding numbers are 53 percent and 47 percent, respectively; and the relative contribution of the substitution effect will asymptotically converge to 65 percent.…”

Section: Introductionmentioning

confidence: 99%

General Patterns and Drivers of Changes in Employment Structure: Evidence from Five European Countries

Yakymova

2020

SAEB

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This paper seeks to answer whether the general patterns and drivers of the sectoral employment shifts depend on a country’s level of development. To accomplish this, we examined employment in Germany, Hungary, Poland, Romania and Ukraine at the national level (1998-2018) using econometric analysis, and at the regional NUTS2 level (2009-2018) using shift-share analysis. We obtained evidence that the general trend is the service sector expansion. Using the ARDL approach and the Granger causality test, we identified long-run unidirectional causality running from income proxies to employment in services in all countries except Romania, where the opposite causality was found. We revealed that household income moderates the impact of urbanization on service sector growth in all countries except Poland. At the regional level, the change in the employment rate in services is explained by the national growth effect and slightly by the industry-mix effect if the active phase of structural changes is completed.

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Sectoral labour reallocation: An agent-based model of structural change and growth

Cited by 4 publications

References 38 publications

Technological paradigms, labour creation and destruction in a multi-sector agent-based model

Technological paradigms, labour creation and destruction in a multi-sector agent-based model

Dynamics of demand for skills and industrial structure of economy: Developed and developing countries

General Patterns and Drivers of Changes in Employment Structure: Evidence from Five European Countries

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