Title Page

Abstract

Contents

Chapter 1. Relocation Policy of Public Sector: Employment Effect of Financial Public Institutions Relocated to Busan 11

1.1. Introduction 11

1.2. Relocation Policy of Public Sector in South Korea 16

1.3. Data Construction 21

1.4. Empirical Strategy 33

1.5. Results 39

1.6. Conclusions 67

Appendix: Data 69

Chapter 2. The Impact of COVID-19 on the Gender Wage Gap in Korea 87

2.1. Introduction 87

2.2. Discussions relating to the Gender Wage Gap 90

2.3. Data and Methodology 95

2.4. Results 102

2.5. Conclusion 114

Appendix: Additional Tables 116

References 119

국문초록 128

Table 1.3.1. The number of businesses by industry in Busan based on the employment insurance DB in 2011. 23

Table 1.3.2. The number of workers by industry in Busan based on the employment insurance DB in 2011. 24

Table 1.3.3. Size of businesses by industry in Busan based on employment insurance DB in 2011. 25

Table 1.3.4. Comparison between 2011 and 2017 of the number of businesses in Busan industry. 27

Table 1.3.5. Comparison between 2011 and 2017 of the number of workers in Busan industry. 27

Table 1.3.6. Comparison between 2011 and 2017 of the number of businesses by size in Busan industry. 31

Table 1.3.7. Comparison between 2011 and 2017 of the number of workers by size in Busan industry. 32

Table 1.4.1. Industry code according to industry classification (2-digit) 36

Table 1.4.2. The size of workers at four financial public institutions that flowed into BIFC in Nam-gu. 37

Table 1.5.1. Basic statistics on the number of workers by 2-digit industry according to treated units and control units. 41

Table 1.5.2. The number of businesses in the 2-digit industry by treated units and control units. 42

Table 1.5.3. The number of workers in the 2-digit industry by treated units and control units. 51

Table 1.5.4. Industry code according to industry classification (3-digit) 54

Table 1.5.5. Basic statistics on the number of workers by 3-digit industry according to treated units and control units. 55

Table 1.5.6. The number of businesses in the 3-digit industry by treated units and control units. 56

Table 1.5.7. The number of workers in the 3-digit industry by treated units and control units. 63

Table 1.5.8. The number of workers in Banking and savings institutions (641) by size. 65

Table 1.5.9. The number of workers in Activities auxiliary to insurance and pension funding (662) by size. 66

Table 2.3.1. Time trends in Duncan Index by industry and occupation. 98

Table 2.3.2. Basic statistics for the RES data sample. 100

Table 2.4.1. The wage equation estimated in the female-dominated industry. 104

Table 2.4.2. The wage equation estimated in the mixed industry. 105

Table 2.4.3. The wage equation estimated in the male-dominated industry. 106

Table 2.4.4. Gender wage gap and decomposition by industry based on gender segregation. 108

Table 2.4.5. The wage equation estimated in the mixed industry of manufacturing. 110

Table 2.4.6. The wage equation estimated in the male-dominated industry of manufacturing. 111

Table 2.4.7. Gender wage gap and decomposition of manufacturing based on gender segregation. 113

Figure 1.4.1. Map of administrative districts of Busan according to treated units and control units. 34

Figure 1.4.2. The number of financial industry workers in the Nam-gu area. 37

Figure 1.5.1. Changes in employment in the financial sector (2-digit) due to the relocation of public institutions. 45

Figure 1.5.2. Changes in employment in the regional service sector (2-digit) due to the relocation of public institutions. 48

Figure 1.5.3. Changes in employment in the financial service activities (3-digit) due to the relocation of public institutions. 58

Figure 1.5.4. Changes in employment in the Activities auxiliary (3-digit) due to the relocation of public institutions. 59

Figure 1.5.5. Changes in employment of the business in two industries by size. 65