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1. Introduction 4
2. Literature Review 6
3. Analytical Framework 8
4. Data and Sample for Korea 10
5. Regression Results using Korean Population Census data 19
6. Regression Results using KLIPS data 23
6.1. Individual Logistic Regression Analyses using KLIPS data 23
6.2. City-level Regression Results using KLIPS Data 26
7. Conclusion 27
References 32
APPENDIX 81
Table 1.1. Korea Employment Rate of the Youth (ages 20-24) Male, Urban, By Regions 34
Table 1.2. Korea Employment Rate of the Prime Age (ages 25-54) Male, Urban, By Regions 35
Table 1.3. Korea Employment Rate of the Older (ages 55-64) Male, Urban, By Regions 36
Table 1.4. Korea Employment Rate of the Youth (20-24) Female, Urban, By Regions 37
Table 1.5. Korea Employment Rate of the Prime Age (ages 25-54) Female, Urban, By Regions 38
Table 1.6. Korea Employment Rate of the Older (55-64) Female, Urban, By Regions 39
Table 2. Highest and Lowest Employment Rate by City Based on Older Workers, Urban, Year 1990-2005 40
Table 3.1. Highest and Lowest Employment Rate by Cityname Based on Older Workers, Urban, Year 1990 42
Table 3.2. Highest and Lowest Employment Rate by Cityname Based on Older Workers, Urban, Year 1995 43
Table 3.3. Highest and Lowest Employment Rate by Cityname Based on Older Workers, Urban, Year 2000 44
Table 3.4. Highest and Lowest Employment Rate by Cityname Based on Older Workers, Urban, Year 2005 45
Table 4.1. Descriptive Statistics (Mean), by sex and age group, urban, Year 1990 46
Table 4.2. Descriptive Statistics (Mean), by sex and age group, urban, Year 1995 46
Table 4.3. Descriptive Statistics (Mean), by sex and age group, Year 2000 47
Table 4.4. Descriptive Statistics (Mean), by sex and age group, Year 2005 47
Table 5.1. Descriptive Statistics (Mean), High Education, by sex and age group, urban, Year 1990 48
Table 5.2. Descriptive Statistics (Mean), High Education, by sex and age group, urban, Year 1995 48
Table 5.3. Descriptive Statistics (Mean), High Education, by sex and age group, urban, Year 200 49
Table 5.4. Descriptive Statistics (Mean), High Education, by sex and age group, urban, Year 2005 49
Table 5.5. Descriptive Statistics (Mean), Low Education, by sex and age group, urban, Year 1990 50
Table 5.6. Descriptive Statistics (Mean), Low Education, by sex and age group, urban, Year 1995 50
Table 5.7. Descriptive Statistics (Mean), Low Education, by sex and age group, urban, Year 2000 51
Table 5.8. Descriptive Statistics (Mean), Low Education, by sex and age group, urban, Year 2005 51
Table 6.1. Individual Logistic Regression Relationship between Older Workers (Male 55-64) and Youth Workers Employment Rate: Pooled Year 1990-2005 52
Table 6.2. Individual Logistic Regression Relationship between Male Older Workers (Age 55-64) and Male Prime-age Workers Employment Rate: Pooled Year 1990-2005 53
Table 6.3. Individual Logistic Regression Relationship between Male Older Workers (Age 55-64) and Female Youth Workers Employment Rate: Pooled Year 1990-2005 54
Table 6.4. Individual Logistic Regression Relationship between Male Older Workers (Age 55-64) and Female Prime-age Workers Employment Rate: Pooled Year 1990-2005 55
Table 6.5. Individual Logistic Regression Relationship between Male Older Workers (Age 55-64) and Female Older Workers Employment Rate: Pooled Year 1990-2005 56
Table 7.1. Individual Logistic Regression Relationship between High and Low Educated Older Workers (Age 55-64) and High and Low Educated Youth Workers (Age 20-24) Employment Rate: Pooled Year 1990-2005 57
Table 7.2. Individual Logistic Regression Relationship between High and Low Educated Older Workers (Age 55-64) and High and Low Educated Youth Workers (Age 23-27) Employment Rate: Pooled Year 1990-2005 58
Table 7.3. Individual Logistic Regression Relationship between High and Low Educated Older Workers (Age 55-64) and High and Low Educated Prime-age Workers (Age 25-54) Employment Rate: Pooled Year 1990-2005 59
Table 8.1. City Average Regression Relationship between Male Older Workers (Age 55-64) and Male Youth Workers (Age 20-24 and Age 23-27) Employment Rate: Pooled Year 1990-2005 60
Table 8.2. City Average Regression Relationship between Male Older Workers (Age 55-64) and Male Prime Age Workers (Age 25-54 and Age 28-54) Employment Rate: Pooled Year 1990-2005 61
Table 8.3. City Average Regression Relationship between Female Older Workers (Age 55-64) and Female Youth Workers (Age 20-24 and Age 23-27) Employment Rate: Pooled Year 1990-2005 62
Table 8.4. City Average Regression Relationship between Male Older Workers (Age 55-64) and Female Prime Age Workers (Age 25-54 and Age 28-54) Employment Rate: Pooled Year 1990-2005 63
Table 8.5. City Average Regression Relationship between Male Older Workers (Age 55-64) and Female Older Workers (Age 55-64)Employment Rate: Pooled Year 1990-2005 64
Table 9.1a. Individual Logistic Regression on The Effects of Male Older Workers (55-64) on Employment Rates of a Male Youth Workers (20-24) and Male Prime Age Workers (25-54): Pooled Year 1998-2004 using KLIPS data, Based on 250 Cities, Counties, and Wards Characteristics Data 65
Table 9.1b. Individual Logistic Regression on The Effects of Male Older Workers (55-64) on Employment Rates of a Female Youth Workers (20-24) and Female Prime Age Workers (25-54), and Female Older Workers (55-64) Pooled Year... 66
Table 9.2a. Individual Logistic Regression on The Effects of Male Older Workers (55-64) on Employment Rates of Male Youth Workers (20-24) and Male Prime Age Workers (25-54), Higher Educated Workers Only (High School Graduates or Less)... 67
Table 9.2b. Individual Logistic Regression on The Effects of Male Older Workers (55-64) on Employment Rates of Female Youth Workers (20-24), Female Prime Age Workers (25-54), and Female Older Workers (55-64), Higher Educated Workers Only (High School Graduates or Lee): Pooled Year... 68
Table 9.2c. Individual Logistic Regression on The Effects of Male Older Workers (55-64) on Employment Rates of Male Youth Workers (20-24) and Male Prime Age Workers (25-54), Lower Educated Workers Only (High School Graduates or Less): Pooled Year 1998-2015 using KLIPS data, Based on... 69
Table 9.2d. Individual Logistic Regression on The Effects of Male Older Workers (55-64) on Employment Rates of Female Youth Workers (20-24), Female Prime Age Workers (25-54), and Female Older Workers (55-64), Lower Educated Workers Only (High SchoolGraduates or Lee): Pooled Year 1998-2015... 70
Table 9.3a. City Average Logistic Regression Relationship between Male Older Workers (Age 55-64) and Male Youth Workers (Age 20-24) Employment Rates, Unemployment Rates, Hours Worked Per Week, and Wage Rates based on 150 Cities, Counties, and Wards: Pooled Year 1990-2005 71
Table 9.3b. City Average Logistic Regression Relationship between Male Older Workers (Age 55-64) and Male Prime Age Workers (Age 25-54) Employment Rates, Unemployment Rates, Hours Worked Per Week, and Wage Rates based on 150 Cities, Counties, and Wards: Pooled Year 1990-2005 73
Table 9.3c. City Average Logistic Regression Relationship between Male Older Workers (Age 55-64) and Female Youth Workers (Age 20-24) Employment Rates, Unemployment Rates, Hours Worked Per Week, and Wage Rates based on 150 Cities, Counties, and Wards: Pooled Year 1990-2005 75
Table 9.3d. City Average Logistic Regression Relationship between Male Older Workers (Age 55-64) and Female Prime Age Workers (Age 25-54) Employment Rates, Unemployment Rates, Hours Worked Per Week, and Wage Rates based on 150 Cities, Counties, and Wards: Pooled Year 1990-2005 77
Table 9.3e. City Average Logistic Regression Relationship between Male Older Workers (Age 55-64) and Female Older Workers (Age 55-64) Employment Rates, Unemployment Rates, Hours Worked Per Week, and Wage Rates based on 150 Cities, Counties, and Wards:Pooled Year 1990-2005 79
Table 6.1. A.KLI. Individual Logistic Regression Relationship between Older Workers (Male 55-64) and Male Youth Workers (20-24) Employment Rate, Based on 16 Megacities/Provinces: Pooled Year 1998-2015 81
Table 6.2. A.KLI. Individual Logistic Regression Relationship between Older Workers (Male 55-64) and Male Prime Workers (25-54) Employment Rate, Based on 16 Megacities/Provinces: Pooled Year 1998-2015 82
Table 6.3. A.KLI. Individual Logistic Regression Relationship between Older Workers (Male 55-64) and Female Youth Workers (20-24) Employment Rate, Based on 16 Megacities/Provinces: Pooled Year 1998-2015 83
Table 6.4. A.KLI. Individual Logistic Regression Relationship between Older Workers (Male 55-64) and Female Prime Workers (25-54) Employment Rate, Based on 16 Megacities/Provinces: Pooled Year 1998-2015 84
Table 6.5. A.KLI. Individual Logistic Regression Relationship between Older Workers (Male 55-64) and Female Older Workers (55-64) Employment Rate, Based on 16 Megacities/Provinces: Pooled Year 1998-2015 85
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