scholarly journals The Frontier of Macroeconomic Modelling: Proceedings of the JRC-IEA Workshop 2017

2021 ◽  
pp. 63-73
Author(s):  
Omar Licandro
Keyword(s):  
Economic Growth ◽  
State Of The Art ◽  
Macroeconomic Models ◽  
Macro Model ◽  
Macroeconomic Modelling ◽  
Recent Developments ◽  
Modelling Strategies ◽  
The Impact ◽  
Innovation Policies

AbstractThis chapter discusses the Proceedings of the JRC-IEA Roundtable, which objective was to promote a technical debate on the recent developments of DSGE and alternative modelling strategies, the main mechanisms at play and their effectiveness in assessing the impact of R&D and innovation policies. Leading academics presented state-of-the-art macroeconomic models in the area of economic growth and innovation. It follows a debate between academics and practitioners trying to figure out the key elements of a macro model designed to evaluate innovation policies should include.

Psychological origins of the Industrial Revolution

2018 ◽  
Vol 42 ◽  
Author(s):  
Nicolas Baumard
Keyword(s):  
Economic Growth ◽  
Economic History ◽  
Evolutionary Biology ◽  
Life History Theory ◽  
Industrial Revolution ◽  
Local Environment ◽  
Living Standards ◽  
Psychological Traits ◽  
Recent Developments ◽  
The Impact

Abstract Since the Industrial Revolution, human societies have experienced high and sustained rates of economic growth. Recent explanations of this sudden and massive change in economic history have held that modern growth results from an acceleration of innovation. But it is unclear why the rate of innovation drastically accelerated in England in the eighteenth century. An important factor might be the alteration of individual preferences with regard to innovation resulting from the unprecedented living standards of the English during that period, for two reasons. First, recent developments in economic history challenge the standard Malthusian view according to which living standards were stagnant until the Industrial Revolution. Pre-industrial England enjoyed a level of affluence that was unprecedented in history. Second, behavioral sciences have demonstrated that the human brain is designed to respond adaptively to variations in resources in the local environment. In particular, Life History Theory, a branch of evolutionary biology, suggests that a more favorable environment (high resources, low mortality) should trigger the expression of future-oriented preferences. In this paper, I argue that some of these psychological traits – a lower level of time discounting, a higher level of optimism, decreased materialistic orientation, and a higher level of trust in others – are likely to increase the rate of innovation. I review the evidence regarding the impact of affluence on preferences in contemporary as well as past populations, and conclude that the impact of affluence on neurocognitive systems may partly explain the modern acceleration of technological innovations and the associated economic growth.

A state-of-the-art overview of job-crafting research: current trends and future research directions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maria Tims ◽  
Melissa Twemlow ◽  
Christine Yin Man Fong
Keyword(s):  
State Of The Art ◽  
Work Behavior ◽  
Job Crafting ◽  
Future Research ◽  
25Th Anniversary ◽  
Content Type ◽  
Recent Developments ◽  
Future Research Directions ◽  
Recent Trends ◽  
The Impact

PurposeIn celebration of the 25th anniversary of the founding of Career Development International, a state-of-the-art overview of recent trends in job-crafting research was conducted. Since job crafting was introduced twenty years ago as a type of proactive work behavior that employees engage in to adjust their jobs to their needs, skills, and preferences, research has evolved tremendously.Design/methodology/approachTo take stock of recent developments and to unravel the latest trends in the field, this overview encompasses job-crafting research published in the years 2016–2021. The overview portrays that recent contributions have matured the theoretical and empirical advancement of job-crafting research from three perspectives (i.e. individual, team and social).FindingsWhen looking at the job-crafting literature through these three perspectives, a total of six trends were uncovered that show that job-crafting research has moved to a more in-depth theory-testing approach; broadened its scope; examined team-level job crafting and social relationships; and focused on the impact of job crafting on others in the work environment and their evaluations and reactions to it.Originality/valueThe overview of recent trends within the job-crafting literature ends with a set of recommendations for how future research on job crafting could progress and create scientific impact for the coming years.

Implications of higher retirement age for the labor market

2017 ◽  
pp. 22-39 ◽  
Author(s):  
M. Ivanova ◽  
A. Balaev ◽  
E. Gurvich
Keyword(s):  
Economic Growth ◽  
Labor Market ◽  
Labor Supply ◽  
Labor Force ◽  
Labor Demand ◽  
Retirement Age ◽  
Demographic Trends ◽  
Men And Women ◽  
Demographic Projections ◽  
The Impact

The paper considers the impact of the increase in retirement age on labor supply and economic growth. Combining own estimates of labor participation and demographic projections by the Rosstat, the authors predict marked fall in the labor force (by 5.6 million persons over 2016-2030). Labor demand is also going down but to a lesser degree. If vigorous measures are not implemented, the labor force shortage will reach 6% of the labor force by the period end, thus restraining economic growth. Even rapid and ambitious increase in the retirement age (by 1 year each year to 65 years for both men and women) can only partially mitigate the adverse consequences of demographic trends.

Solow economy model

2019 ◽  
pp. 150-157
Author(s):  
Oleksandr Synenko ◽  
Kateryna Yarema ◽  
Yuliia Bezsmertna
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Solow Model ◽  
Economy Model ◽  
Accelerated Depreciation ◽  
Basic Parameters ◽  
The Subject ◽  
Investment Process ◽  
The Impact ◽  
Model Algorithm

The subject of the research is the approach to the possibility of using the Solow model to perform the regression analysis on the example of the Ukrainian economy model. The purpose of writing this article is to investigate the notion of regres- sion analysis, Solow’s economy model, algorithm for performing regression analy- sis on the example of Ukraine’s economy model. This model can be adapted for the economy of enterprises. Methodology. The research methodology is system-struc- tural and comparative analyzes (to study the structure of GDP); monograph (when studying methods of regression analysis on the example of the Ukrainian economy); economic analysis (when assessing the impact of factors on Ukraine’s GDP). The scientific novelty consists the features of the use of the Solow model on the ex- ample of Ukrainian economy are determined. An algorithm for calculating the basic parameters of a model using the Excel application package is disclosed. The main recommendations on the development of the national economy and economic growth through the use of macroeconomic instruments are given. Conclusions. The use of the Solow model enables forecasting and analysis. The results obtained re- vealed the problem of low resource return of capital as a resource, along with the means of macroeconomic regulation of the investment process, using which can improve the situation. A special place in these funds belongs to the accelerated depreciation and interest rate policies.

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