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Badi H Baltagi - One of the best experts on this subject based on the ideXlab platform.
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the spatial polish wage curve with gender effects evidence from the polish Labor Survey
Regional Science and Urban Economics, 2014Co-Authors: Badi H Baltagi, Bartlomiej RokickiAbstract:This paper reconsiders the Polish wage curve using individual data from the Polish Labor Force Survey (LFS) at the 16 NUTS2 level allowing for spatial spillovers between regions. In addition it estimates the total and gender-specific regional unemployment rate elasticities on individual wages. The paper finds significant spatial unemployment spillovers across Polish regions. In addition, it finds that the results for the Polish wage curve are sensitive to gender-specific regional unemployment rates. This is especially true for women.
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the polish wage curve micro panel data analysis based on the polish Labor Force Survey
Social Science Research Network, 2013Co-Authors: Badi H Baltagi, Bartlomiej RokickiAbstract:This paper analyzes the Polish wage curve using individual data from the Polish Labor Force Survey (LFS) at the 16 NUTS2 regions over the period 1999-2010. This Survey does not gather information on wages of self-employed or paid family workers. After excluding the unemployed, inactive and missing observations, we are left with over 102,924 observations. We find evidence in favor of the Polish wage curve with an unemployment elasticity of -0.06. We also find that males in Poland are significantly more responsive to local unemployment rates (-0.08) than their female counterparts (-0.04). Moreover, if the lagged unemployment rate is used as an instrument for current unemployment rate, we find that the unemployment elasticity increases substantially for less experienced and temporary workers.
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abstract the polish wage curve micro panel data analysis based on the polish Labor Force Survey
Research Papers in Economics, 2013Co-Authors: Badi H Baltagi, Bartlomiej RokickiAbstract:This paper analyzes the Polish wage curve using individual data from the Polish Labor Force Survey (LFS) at the 16 NUTS2 regions over the period 1999 - 2010. This Survey does not gather information on wages of self-employed or paid family workers. After excluding the unemployed, inactive and missing observations, we are left with over 102,924 observations. We find evidence in favor of the Polish wage curve with an unemployment elasticity of -0.06. We also find that males in Poland are significantly more responsive to local unemployment rates (-0.08) than their female counterparts (-0.04). Moreover, if the lagged unemployment rate is used as an instrument for current unemployment rate, we find that the unemployment elasticity increases substantially for less experienced and temporary workers.
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the turkish wage curve evidence from the household Labor Force Survey
Economics Letters, 2012Co-Authors: Badi H Baltagi, Yusuf Soner Baskaya, Timur HulaguAbstract:This paper examines the Turkish wage curve using individual data from the Household Labor Force Survey including 26 NUTS-2 regions over the period 2005–2008. We find an unemployment elasticity of −0.099, with a higher elasticity for younger, less educated, less experienced and female workers.
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the turkish wage curve evidence from the household Labor Force Survey
Social Science Research Network, 2011Co-Authors: Badi H Baltagi, Yusuf Soner Baskaya, Timur HulaguAbstract:This paper examines the Turkish wage curve using individual data from the Household Labor Force Survey (HLFS) including 26 NUTS-2 regions over the period 2005-2008. When the local unemployment rate is treated as predetermined, there is evidence in favor of the wage curve only for younger and female workers. However, if the lagged unemployment rate is used as an instrument for current unemployment rate, we find an unemployment elasticity of -0.099. We also find a higher elasticity for younger, less educated, low experienced workers than for older, more educated and more experienced workers. Another important finding is that the wages of females in Turkey are significantly more responsive to local unemployment rates than their male counterparts.
Bartlomiej Rokicki - One of the best experts on this subject based on the ideXlab platform.
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the spatial polish wage curve with gender effects evidence from the polish Labor Survey
Regional Science and Urban Economics, 2014Co-Authors: Badi H Baltagi, Bartlomiej RokickiAbstract:This paper reconsiders the Polish wage curve using individual data from the Polish Labor Force Survey (LFS) at the 16 NUTS2 level allowing for spatial spillovers between regions. In addition it estimates the total and gender-specific regional unemployment rate elasticities on individual wages. The paper finds significant spatial unemployment spillovers across Polish regions. In addition, it finds that the results for the Polish wage curve are sensitive to gender-specific regional unemployment rates. This is especially true for women.
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the polish wage curve micro panel data analysis based on the polish Labor Force Survey
Social Science Research Network, 2013Co-Authors: Badi H Baltagi, Bartlomiej RokickiAbstract:This paper analyzes the Polish wage curve using individual data from the Polish Labor Force Survey (LFS) at the 16 NUTS2 regions over the period 1999-2010. This Survey does not gather information on wages of self-employed or paid family workers. After excluding the unemployed, inactive and missing observations, we are left with over 102,924 observations. We find evidence in favor of the Polish wage curve with an unemployment elasticity of -0.06. We also find that males in Poland are significantly more responsive to local unemployment rates (-0.08) than their female counterparts (-0.04). Moreover, if the lagged unemployment rate is used as an instrument for current unemployment rate, we find that the unemployment elasticity increases substantially for less experienced and temporary workers.
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abstract the polish wage curve micro panel data analysis based on the polish Labor Force Survey
Research Papers in Economics, 2013Co-Authors: Badi H Baltagi, Bartlomiej RokickiAbstract:This paper analyzes the Polish wage curve using individual data from the Polish Labor Force Survey (LFS) at the 16 NUTS2 regions over the period 1999 - 2010. This Survey does not gather information on wages of self-employed or paid family workers. After excluding the unemployed, inactive and missing observations, we are left with over 102,924 observations. We find evidence in favor of the Polish wage curve with an unemployment elasticity of -0.06. We also find that males in Poland are significantly more responsive to local unemployment rates (-0.08) than their female counterparts (-0.04). Moreover, if the lagged unemployment rate is used as an instrument for current unemployment rate, we find that the unemployment elasticity increases substantially for less experienced and temporary workers.
Timur Hulagu - One of the best experts on this subject based on the ideXlab platform.
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the turkish wage curve evidence from the household Labor Force Survey
Economics Letters, 2012Co-Authors: Badi H Baltagi, Yusuf Soner Baskaya, Timur HulaguAbstract:This paper examines the Turkish wage curve using individual data from the Household Labor Force Survey including 26 NUTS-2 regions over the period 2005–2008. We find an unemployment elasticity of −0.099, with a higher elasticity for younger, less educated, less experienced and female workers.
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the turkish wage curve evidence from the household Labor Force Survey
Social Science Research Network, 2011Co-Authors: Badi H Baltagi, Yusuf Soner Baskaya, Timur HulaguAbstract:This paper examines the Turkish wage curve using individual data from the Household Labor Force Survey (HLFS) including 26 NUTS-2 regions over the period 2005-2008. When the local unemployment rate is treated as predetermined, there is evidence in favor of the wage curve only for younger and female workers. However, if the lagged unemployment rate is used as an instrument for current unemployment rate, we find an unemployment elasticity of -0.099. We also find a higher elasticity for younger, less educated, low experienced workers than for older, more educated and more experienced workers. Another important finding is that the wages of females in Turkey are significantly more responsive to local unemployment rates than their male counterparts.
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the turkish wage curve evidence from the household Labor Force Survey turkiye de ucret egrisi hanehalki isgucu anketi nden bulgular
Research Papers in Economics, 2011Co-Authors: Badi H Baltagi, Yusuf Soner Baskaya, Timur HulaguAbstract:This paper examines the Turkish wage curve using individual data from the Household Labor Force Survey (HLFS) including 26 NUTS-2 regions over the period 2005 - 2008. When the local unemployment rate is treated as predetermined, there is evidence in favor of the wage curve only for younger and female workers. However, if the lagged unemployment rate is used as an instrument for current unemployment rate, we find an unemployment elasticity of -0.099. We also find a higher elasticity for younger, less educated, low experienced workers than for older, more educated and more experienced workers. Another important finding is that the wages of females in Turkey are significantly more responsive to local unemployment rates than their male counterparts.
Yusuf Soner Baskaya - One of the best experts on this subject based on the ideXlab platform.
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the turkish wage curve evidence from the household Labor Force Survey
Economics Letters, 2012Co-Authors: Badi H Baltagi, Yusuf Soner Baskaya, Timur HulaguAbstract:This paper examines the Turkish wage curve using individual data from the Household Labor Force Survey including 26 NUTS-2 regions over the period 2005–2008. We find an unemployment elasticity of −0.099, with a higher elasticity for younger, less educated, less experienced and female workers.
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the turkish wage curve evidence from the household Labor Force Survey
Social Science Research Network, 2011Co-Authors: Badi H Baltagi, Yusuf Soner Baskaya, Timur HulaguAbstract:This paper examines the Turkish wage curve using individual data from the Household Labor Force Survey (HLFS) including 26 NUTS-2 regions over the period 2005-2008. When the local unemployment rate is treated as predetermined, there is evidence in favor of the wage curve only for younger and female workers. However, if the lagged unemployment rate is used as an instrument for current unemployment rate, we find an unemployment elasticity of -0.099. We also find a higher elasticity for younger, less educated, low experienced workers than for older, more educated and more experienced workers. Another important finding is that the wages of females in Turkey are significantly more responsive to local unemployment rates than their male counterparts.
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the turkish wage curve evidence from the household Labor Force Survey turkiye de ucret egrisi hanehalki isgucu anketi nden bulgular
Research Papers in Economics, 2011Co-Authors: Badi H Baltagi, Yusuf Soner Baskaya, Timur HulaguAbstract:This paper examines the Turkish wage curve using individual data from the Household Labor Force Survey (HLFS) including 26 NUTS-2 regions over the period 2005 - 2008. When the local unemployment rate is treated as predetermined, there is evidence in favor of the wage curve only for younger and female workers. However, if the lagged unemployment rate is used as an instrument for current unemployment rate, we find an unemployment elasticity of -0.099. We also find a higher elasticity for younger, less educated, low experienced workers than for older, more educated and more experienced workers. Another important finding is that the wages of females in Turkey are significantly more responsive to local unemployment rates than their male counterparts.
Suprihatin Bambang - One of the best experts on this subject based on the ideXlab platform.
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Pengaruh Faktor Sosio Demografis terhadap Lama Mencari Kerja bagi Tenaga Kerja Terdidik di Provinsi Sumatera Selatan
'Fakultas Ekonomi dan Ilmu Sosial Universitas Islam Raden Rahmat Malang', 2021Co-Authors: Zatzah, Nidatri Mutiah, Suprihatin BambangAbstract:The number of Labor Force in South Sumatra Province when viewed from the percentage of the unemployed workForce for the uneducated workForce is 27% while the educated workForce is unemployed by 73%. The purpose of this study was to explain the influence of socio-demographic factors on the length of time looking for educated workers in South Sumatra Province. This study uses secondary data in the form of the 2017 National Labor Force Survey (Sakernas) South Sumatra Province and the use of multiple linear regression analysis (OLS). The results of the analysis of the research that has been carried out state that the respondents have the characteristics, namely that the majority are male with a high school / vocational high school education level and only a few have work experience. The average respondent was 26.79 years old, had an income of 2124029.59 rupiah and had a long time to look for work 17.31 months. The variables that were not related to the length of time looking for work were age, sex and education. The variables that have a significant relationship with the length of time looking for work are work experience and incom
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Pengaruh Faktor Sosio Demografis terhadap Lama Mencari Kerja bagi Tenaga Kerja Terdidik di Provinsi Sumatera Selatan
'Sunan Gunung Djati State Islamic University of Bandung', 2021Co-Authors: Zatzah, Nidatri Mutiah, Suprihatin Bambang, Zunaidah ZunaidahAbstract:The total workForce in South Sumatra Province is 4,123,669 people, who work 3,942,534 people, and those who are unemployed are 181,135 people if you look at the percentage of the unemployed workForce for the uneducated workForce is 27% while the educated workForce is unemployed by 73%. This study uses secondary data in the form of the 2017 National Labor Force Survey (Sakernas) South Sumatra Province and the use of multiple linear regression analysis (OLS). The results of the analysis of the research that had been conducted stated that the respondents had characteristics, namely that the majority were male at 74%, around 87.4% with a high school / vocational education level, and around 51.1% had work experience. The average respondent was 26.79 years old, had an income of 212 4029.59 rupiah,s and had a long time to look for work 17.31 months. The variables that were not related to the length of time looking for work were age, sex, and education. The variables that have a significant relationship with the length of time looking for work are work experience and income. Each work experience will increase the length of time to look for work in the respondents in South Sumatra Province by 5,132 months
