"Interpretation of recent Employment data using Employment Elasticity"

2021 ◽  
Vol 39 (1) ◽  
pp. 115-136
Author(s):  
Chang kon Choi
Keyword(s):  
Employment Elasticity ◽  
Employment Data

scholarly journals Credible Research Designs for Minimum Wage Studies

ILR Review ◽  
2017 ◽  
Vol 70 (3) ◽  
pp. 559-592 ◽  
Author(s):  
Sylvia Allegretto ◽  
Arindrajit Dube ◽  
Michael Reich ◽  
Ben Zipperer
Keyword(s):  
Minimum Wage ◽  
Data Driven ◽  
Control Units ◽  
Research Designs ◽  
Teen Employment ◽  
Employment Elasticity ◽  
Matching Estimates ◽  
Synthetic Controls ◽  
And Control ◽  
Employment Data

The authors assess the critique by Neumark, Salas, and Wascher (2014) of minimum wage studies that found small effects on teen employment. Data from 1979 to 2014 contradict NSW; the authors show that the disemployment suggested by a model assuming parallel trends across U.S. states mostly reflects differential pre-existing trends. A data-driven LASSO procedure that optimally corrects for state trends produces a small employment elasticity (–0.01). Even a highly sparse model rules out substantial disemployment effects, contrary to NSW’s claim that the authors discard too much information. Synthetic controls do place more weight on nearby states—confirming the value of regional controls—and generate an elasticity of −0.04. A similar elasticity (−0.06) obtains from a design comparing contiguous border counties, which the authors show to be good controls. NSW’s preferred matching estimates mix treatment and control units, obtain poor matches, and find the highest employment declines where the relative minimum wage falls. These findings refute NSW’s key claims.

Formulation and application of a multi-variable location quotient index in the Mpumalanga Province, South Africa

2021 ◽  
pp. 026909422110495
Author(s):  
Daniel F Meyer ◽  
Ferdinand Niyimbanira
Keyword(s):  
South Africa ◽  
Strategy Development ◽  
Measurement Tool ◽  
Location Quotient ◽  
Regional Economic ◽  
Mpumalanga Province ◽  
Consistent Model ◽  
New Formula ◽  
Regional Economic Analysis ◽  
Employment Data

Leading regions drive economic growth and development, and it is important to determine which sectors are driving growth. Leading sectors need to be supported while lagging sectors need to be guided towards growth. The location quotient method has been used as a regional economic development measurement tool using a single variable, mostly employment data. This paper aims to formulate and apply a multi-variable location quotient index (MVLQI), which includes four variables, allowing for a more comprehensive and consistent model. A new formula was developed as part of the methodology, and a classification matrix and index coefficient values were categorised. The new model was tested and applied in the Mpumalanga Province, South Africa, between 2012 and 2017. A normal index was calculated for both years and a dynamic index based on the four variables included in the model. The study’s contribution is that the outcomes from the MVLQI provide analysts with more comprehensive and consistent results for economic strategy development. The new MVLQI could be used with success in regional economic analysis in identifying sectors with high levels of concentration, comparative advantage and calculation of multipliers.

EMPLOYMENT DATA CLEANING METHODS IN DATABASE REENGINEERING

2021 ◽  
Vol 76 ◽  
pp. 35-41
Author(s):  
A. I. Baranchikov ◽  
◽  
I. I. Yakovlev ◽  
I. A. Klyueva ◽  
◽  
...  
Keyword(s):  
Data Cleaning ◽  
Cleaning Methods ◽  
Employment Data

Labor Demand and the Elasticity of Job Opportunity: Evidence from Indonesia

2018 ◽  
Vol 3 (3) ◽  
pp. 59-66
Author(s):  
Jamaliah Jamaliah ◽  
Rosyadi Rosyadi
Keyword(s):  
Economic Growth ◽  
Labor Demand ◽  
Secondary Data ◽  
Jel Classification ◽  
Labor Policy ◽  
Employment Policy ◽  
Labor Flexibility ◽  
Rate Of Absorption ◽  
Job Opportunity ◽  
Employment Elasticity

Objective - Labor is one of the most important factors in production activities. Increased human effort in the production process will increase output, productivity and promote economic growth. This research aims to analyze the condition and potential of labor demand in Pontianak City, analyze job opportunities in Pontianak City and formulate a strategy of labor policy in Pontianak City. Methodology/Technique - The method used is descriptive with quantitative analysis which a qualitative interpretation. The data used is secondary data and related documents for data enrichment. Findings - The results show that: labor demand is showing an increasing trend year by year, increasing employment absorption from 233,788 in 2010 to 244,236 in 2014. The rate of absorption growth occurs primarily in the agriculture, building and transportation industries. Employment elasticity in Pontianak City is relatively low at only 0.02% which means the growth of labor absorption is smaller than the increase of economic growth. Novelty - This research shows that employment policy strategies in Pontianak City need to increase the role of Training Center (BLK), the enrichment of nutrition improvement and sustainability, encourage investment, increase competitiveness through increasing labor productivity and increase labor flexibility to the rules among other things. Type of Paper: Empirical. Keywords: Employment Demand; Employment Elasticity; Employment Policy Strategy. JEL Classification: J20, J21, J29.

scholarly journals Banking and Industrialization

2018 ◽  
Vol 17 (6) ◽  
pp. 1753-1796 ◽  
Author(s):  
Stephan Heblich ◽  
Alex Trew
Keyword(s):  
Standard Deviation ◽  
Industrial Revolution ◽  
Employment Growth ◽  
Standard Deviation Increase ◽  
Percentage Points ◽  
Industrial Employment ◽  
Employment Share ◽  
Capital Intensive ◽  
Employment Data

AbstractWe establish a causal role for banking access in the spread of the Industrial Revolution over the period 1817–1881 by exploiting unique employment data from 10,528 parishes across England and Wales and a novel instrument. We estimate that a one standard deviation increase in 1817 finance employment increases annualized industrial employment growth by 0.93 percentage points. We establish the role of structural transformation as an underlying growth mechanism and show that banking access: (i) increases the industrial employment share; (ii) stimulates urbanization; and (iii) fosters inter-industry transition to high TFP, intermediate and capital-intensive sub-sectors.

scholarly journals Weather-Adjusting Employment Data

2015 ◽  
Author(s):  
Michael D. Boldin ◽  
Jonathan H. Wright
Keyword(s):  
Employment Data

scholarly journals Growth And Elasticity Of Output Of MSME In India

2020 ◽  
Author(s):  
SETAK PALAK ◽  
Sandhyarani Das
Keyword(s):  
Cross Section ◽  
Important Determinant ◽  
Productivity Analysis ◽  
Cross Section Data ◽  
Output Data ◽  
Section Data ◽  
The Core ◽  
Employment Elasticity ◽  
Douglas Production Function

Abstract This paper analyses the phenomenon of growth in India through the lens of employment elasticity. Investigative results are imitative for decompositions of both the level and change of combined employment elasticity in terms of sectoral elasticities, relative development and employment shares. Estimates of these decompositions are presented with employment and output data from related sources for both economies. In India, MSME sector was the key determinant of both the level and change of aggregate elasticity. In India, service is the most important determinant of the level, but manufacturing remains an important driver of changes in aggregate employment elasticity. The core objective of the present paper remains to analyse the growth and elasticity output relationship in this sector, so the study contains the productivity analysis of the MSME sector in India. This will unleash the role of the various inputs and output in production here. Extended Cobb Douglas Production Function has been utilised on the secondary, cross section data of MSMEs of India. Different variables like employment, Number of working enterprises, input, output and capital are selected to analyze their effects of MSMEs.

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