The Effects of Shocks on the Ukrainian Labor Market: SVEC Modeling

Lukianenko, Iryna; Oliskevych, Marianna

doi:10.1016/s2212-5671(15)01002-3

Cited by 11 publications

(11 citation statements)

References 11 publications

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“…In the article [12] the effects of labour market reforms are studied in an innovationdriven model of endogenous growth with a heterogeneous labour force, labour market rigidities, and structural unemployment. In the article [13] is created structural vector autoregressive error correction model for labour productivity, employment, unemployment rate and real wages. The paper [14] uses individual-level data to estimate the labour market consequences of environmental policies.…”

Section: Introductionmentioning

confidence: 99%

Necessity of labour market state’s regulation

Heyets¹,

Voynarenko

Kholodenko

et al. 2019

SHS Web Conf.

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The purpose of this article is to justify the necessity for state regulation of the labour market. Various options for setting wages at the state level, trade unions and employers are considered. It is shown the expediency of state regulation of the labour market in order to ensure the optimal level of employment. It has been established that the maximum tax base and the highest level of employment are achieved simultaneously, with the same optimal level of remuneration. None of these goals can be achieved separately from the other.

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Section: Introductionmentioning

confidence: 99%

Necessity of labour market state’s regulation

Heyets¹,

Voynarenko

Kholodenko

et al. 2019

SHS Web Conf.

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“…In the case of structural vector error correction (SVEC) research related to the influence of monetary aggregate shocks in the U.S., China and Europe on Japan, researchers determined that China's monetary growth has significant effects on Japan's economy that are quite dissimilar from those of the U.S. and Europe (Vespignani and Ratti, 2016). Researchers examining the effects of shocks on the labour market in Ukraine determined that various structural and cyclical shocks explicate unemployment in this country (Lukianenko and Oliskevych, 2015).…”

Section: Introductionmentioning

confidence: 99%

An Analysis for New Institutionality in Science, Technology and Innovation in Colombia Using a Structural Vector Autoregression Model

Clara¹,

Alexander²,

Ronderos³

2019

ERSJ

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in increasing investments in research and development as well as promoting the generation of knowledge. Design/Methodology/Approach: We use structural vector autoregression (SVAR) and structural vector error correction (SVEC) to examine the effects of institutionality in science, technology and innovation in the Ministry of Science, Technology and Innovation (MSTI) using three variables (i.e., investments in activities of science, technology and innovation (STIA), investments in research and development (R&D) and independence index). Findings: The results indicate that increasing the independence and transparency of the MSTI leads to higher investments in STIA and R&D over time. SVAR and SVEC models were used to assess the robustness and reliability of the results. Practical Implications: The results are important for assessing the effective governance and functionality of the new MSTI and its mission to adopt new policies and instruments that may strengthen science, technology and innovation in Colombia as the country migrates to a knowledge-based society. Originality/Value: In this context, Colombia opted to implement this model; using law 1951 of 2019, the country created this ministry. It is important to analyse the implications and key elements that allow the ministry to operate and achieve better investments to promote research, innovation, and the application of new technologies.

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“…An important trend in modern research also concerns the cyclicality of short-term behaviour of the main labour market indicators [5]. In particular, theoretical and empirical scientific results have revealed that the unemployment rate show asymmetric lags in their cyclical behaviour during business cycles, and after a significant economic downturn, the recovery of the labour market recovers at a slower pace than the overall economic activity [6][7]. However, these studies have not been sufficiently reflected in the works by Ukrainian scholars yet.…”

Section: Introductionmentioning

confidence: 99%

Dynamic modelling of nonlinearities in the behaviour of labour market indicators in Ukraine and Poland

Oliskevych¹,

Tokarchuk²

2018

EA-XXI

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The paper studies asymmetries in cyclical behaviour of the Ukrainian and Polish labour markets, accompanied by significant nonlinear fluctuations in economic activity and the unemployment rate due to economic instability, dramatic internal disturbances of social environment and strong external shocks. We investigate the labour market in Ukraine in comparison with the labour market in Poland, the country closest to Ukraine. The conducted econometric analysis shows that after a significant economic downturn, the recovery of the labour market recovers at a slower pace than the overall economic activity. The developed Markov switching autoregressive model implies distinctive regimes of the behaviour of the unemployment rate over time, which is associated with declining and rising modes. The changes in jobless recovery depend on the current and previous changes in real gross domestic product, which has a significant impact on the unemployment rate in both regimes. The estimated transition probabilities related to being in either of the regimes implies that the Ukrainian labour market exhibits the greatest probability of remaining in the increasing unemployment regime, as well as a relatively high probability of transition from low to high unemployment. On the contrary, the Polish unemployment rate is characterised by a high probability of being in a regime with low and declining unemployment, as well as a low probability of moving into an unfavourable situation, which reflects stability of its labour market. The opposite features attributed to the Ukrainian labour market, on the one hand, and the Polish labour market, on the other hand, cause significant labour migration from Ukraine to Poland. The high uncertainty in Ukraine is a motive to seek jobs overseas, especially for the young generation. The results of the investigation confirm the urgency and importance of immediate positive shifts and development of the Ukrainian labour market in order to preserve human capital and, taking into account the negative demographic trends, ageing of the population and significant labour migration, to prevent potential depletion of the labour force.

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The Effects of Shocks on the Ukrainian Labor Market: SVEC Modeling

Cited by 11 publications

References 11 publications

Necessity of labour market state’s regulation

Necessity of labour market state’s regulation

An Analysis for New Institutionality in Science, Technology and Innovation in Colombia Using a Structural Vector Autoregression Model

Dynamic modelling of nonlinearities in the behaviour of labour market indicators in Ukraine and Poland

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