On time and frequency-varying Okun’s coefficient: a new approach based on ensemble empirical mode decomposition

Kim, Myeong Jun; Ko, Stanley I. M.; Park, Sung Y.

doi:10.1007/s00181-020-01904-5

Cited by 5 publications

(3 citation statements)

References 29 publications

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“…EMD was proposed by Huang et al [29] first, which is a time-frequency processing method that is very suitable for processing nonstationary signals [31]. It can decompose the original signal into a series of Intrinsic Mode Functions (IMFs), and each IMF signal needs to meet the following two conditions: in the entire time range, the difference between the number of local extreme points and the number of zerocrossing points of the function is at most one; at any time, the mean of the two upper and lower envelopes of the local maximum point and the local minimum point of the function must be 0. e specific decomposition process is as follows:…”

Section: Decomposition Methods Of Fault Signal Based On Emdmentioning

confidence: 99%

Network Construction for Bearing Fault Diagnosis Based on Double Attention Mechanism

Zong

Cheng

et al. 2022

Computational Intelligence and Neuroscience

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Aiming at the difficulty of feature extraction in the case of multicomponent and strong noise in the traditional rolling bearing fault diagnosis method, this paper proposes a bearing fault diagnosis network with double attention mechanism. The original signal with noise is decomposed into a series of intrinsic mode functions (IMFs) by the Empirical Mode Decomposition method. The Pearson correlation coefficient is discussed to filter the IMFs components for signal reconstruction. The spatial features of the reconstructed signal are extracted by attention convolutional networks. Then, time series features are extracted based on the long short-term memory method. Furthermore, the importance of temporal features is measured through a temporal attention mechanism. The Softmax layer of the constructed network is used as the classifier for fault diagnosis. Comparing this method with the existing methods of experiments, the proposed method has not only better diagnosis accuracy but also stronger antiinterference ability and generalization ability, which can accurately diagnose and classify the bearing fault types. The fault diagnosis accuracy rate for each load is above 99%.

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Section: Decomposition Methods Of Fault Signal Based On Emdmentioning

confidence: 99%

Network Construction for Bearing Fault Diagnosis Based on Double Attention Mechanism

Zong

Cheng

et al. 2022

Computational Intelligence and Neuroscience

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“…In the US, Okun's law also has time fluctuations. The main factors contributing to this fluctuation are working hours and productivity ( 36 ). In summary, there is a negative relationship between unemployment and economic growth.…”

Section: Literature Review and Research Hypothesismentioning

confidence: 99%

Can the asymmetry of Okun's law be interpreted from a social perspective? Evidence from the World Bank

Kaifeng

Jingbin

et al. 2022

Front. Public Health

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Okun's law is generally interpreted in economic terms. This paper is interpreted from a social perspective through regression and mediating effect models. Okun's law is demonstrated based on data from the World Development Indicators (WDI) dataset. There is indeed a relationship between unemployment and economic growth, with unemployment negatively affecting economic growth after controlling for the two-way causality problem. This result remains robust after replacing the core explanatory variables. This paper interprets the asymmetry of Okun's law from a social perspective, using alcohol consumption as a mediating variable to measure the harm caused by unemployment to the unemployed. Analysis of the data reveals that alcohol consumption mediates between unemployment and economic growth. Unemployment increases alcohol consumption, which causes incurable harm to the unemployed. It reduces the willingness and probability of the unemployed to re-employ and further reduces the potential for economic growth. This is why the economic expansion did not lead to employment growth, revealing the asymmetry of Okun's law. The gender-specific heterogeneity analysis found that the impact of unemployment on economic growth did not vary much by gender.

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“…Most of the literature on the validity of Okun's Law concerns advanced economies, some of which have focused mainly on the U.S. case [6][7][8]. The studies concluded that (i) the fixed-coefficient specification commonly used to characterize Okun's Law could lead to inappropriate or incorrect results; (ii) there exists a threshold in the effect of fluctuations in output on fluctuations in unemployment (non-linearity); and (iii) the working hours and utilization affect the short-and long-term fluctuations of the time-varying Okun coefficients.…”

Section: Introductionmentioning

confidence: 99%

Sustainable Employment in Developing and Emerging Countries: Testing Augmented Okun’s Law in Light of Institutional Quality

Raies

2023

Sustainability

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This article is motivated by the recent debate raised on Okun’s Law regarding the divergence of the magnitude of Okun’s coefficient across countries and time horizons, its asymmetry and non-linearity, and the methodological issues associated with the estimate of this law. We tested the proposition that institutional quality—as measured by governance indicators—can explain this divergence and non-linearity. We estimated an augmented version of Okun’s Law showing the non-linear responsiveness of unemployment to fluctuations in GDP in the presence of institutional quality in a sample of 88 developing and emerging countries over the 1985–2019 period. Estimates are run using the 3sls regressor. We found evidence confirming that the responsiveness of unemployment to changes in output is all the more remarkable in countries with stronger institutions. We show that improving the institutional environment—as proxied by Government Effectiveness (GE), Control of Corruption (CC), Regulatory Quality (RQ), the Rule of Law (RL), and Voice and Accountability (VA)—is as important as increased economic growth in the strategy of reducing unemployment and reaching full employment in these countries, which is one of the 17 Sustainable Development Goals (SDGs) issued by the United Nations.

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On time and frequency-varying Okun’s coefficient: a new approach based on ensemble empirical mode decomposition

Cited by 5 publications

References 29 publications

Network Construction for Bearing Fault Diagnosis Based on Double Attention Mechanism

Network Construction for Bearing Fault Diagnosis Based on Double Attention Mechanism

Can the asymmetry of Okun's law be interpreted from a social perspective? Evidence from the World Bank

Sustainable Employment in Developing and Emerging Countries: Testing Augmented Okun’s Law in Light of Institutional Quality

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