19 research outputs found

    The Labor Market Outcomes in Young Adulthood by Income Class

    Get PDF
    ๋ณธ ์—ฐ๊ตฌ๋Š” ํ•œ๊ตญ๊ต์œก๊ณ ์šฉํŒจ๋„์กฐ์‚ฌ(KEEP)๋ฅผ ํ™œ์šฉํ•˜์—ฌ ๊ณ ๋“ฑํ•™๊ต 3ํ•™๋…„ ์‹œ์  ๊ฐ€๊ตฌ์˜ ์†Œ๋“๊ณ„์ธต์— ๋”ฐ๋ผ ์ฒญ๋…„์˜ ๋…ธ๋™์‹œ์žฅ ์„ฑ๊ณผ๊ฐ€ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚˜๋Š”์ง€๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ์ฒซ์งธ, ์†Œ๋“๊ณ„์ธต๋ณ„ ์ฒซ ์ผ์ž๋ฆฌ ์ดํ–‰๊ธฐ๊ฐ„์„ ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ์†Œ๋“1๋ถ„์œ„์— ๋น„ํ•ด ์†Œ๋“4๋ถ„์œ„์™€ ์†Œ๋“5๋ถ„์œ„์˜ ์ฒซ ์ผ์ž๋ฆฌ ์ดํ–‰๊ธฐ๊ฐ„์ด ๋” ๊ธด ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ์œผ๋ฉฐ, ๋‘˜์งธ, ๊ณ ์šฉ์ƒํƒœ์™€ ์ด์งํšŸ์ˆ˜์— ์žˆ์–ด์„œ๋Š” ์†Œ๋“๊ณ„์ธต์— ๋”ฐ๋ฅธ ์ฐจ์ด๋ฅผ ๋ฐœ๊ฒฌํ•˜๊ธฐ ์–ด๋ ค์› ๋‹ค. ์…‹์งธ, ์†Œ๋“1๋ถ„์œ„์— ๋น„ํ•ด ์†Œ๋“4๋ถ„์œ„์™€ ์†Œ๋“5๋ถ„์œ„์˜ ์ž„๊ธˆ์ˆ˜์ค€์ด ๋†’๊ณ  ์ €์ž„๊ธˆ๊ทผ๋กœ๋ฅผ ํ•  ๊ฐ€๋Šฅ์„ฑ์ด ๋‚ฎ์•„์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด์™€ ๋”๋ถˆ์–ด ๊ต์œก์ˆ˜์ค€์ด ๋†’๊ณ , ํ•ด์™ธ์—ฐ์ˆ˜ ๊ฒฝํ—˜์ด ์žˆ๋Š” ๊ฒฝ์šฐ์— ์ž„๊ธˆ์ˆ˜์ค€์ด ๋†’์€ ๊ฒƒ์œผ๋กœ ํ™•์ธ๋˜์—ˆ๋‹ค. ์ด๋ฅผ ํ† ๋Œ€๋กœ ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ณ ๋“ฑํ•™๊ต ์‹œ์ ์˜ ๊ฐ€๊ตฌ ์†Œ๋“๊ณ„์ธต์— ๋”ฐ๋ผ ๋…ธ๋™์‹œ์žฅ ์„ฑ๊ณผ๊ฐ€ ๋‹ฌ๋ผ์ง€๋Š” ์ ์„ ๊ณ ๋ คํ•˜์—ฌ ์†Œ๋“ํ•˜์œ„๊ณ„์ธต์— ์†ํ•œ ์ฒญ๋…„๋“ค์˜ ๋…ธ๋™์‹œ์žฅ ์„ฑ๊ณผ๋ฅผ ๋†’์ด๊ธฐ ์œ„ํ•œ ์ƒ์• ์ฃผ๊ธฐ์  ์ •์ฑ…์ด ์š”๊ตฌ๋˜๋ฉฐ, ๊ณ ์šฉ๊ณผ ๊ต์œก, ๋ณต์ง€๋ฅผ ํฌ๊ด„ํ•˜๋Š” ํ†ตํ•ฉ์  ์ •์ฑ…์ด ํ™•์ถฉ๋˜์–ด์•ผ ํ•จ์„ ์ œ์–ธํ•˜์˜€๋‹ค.This study aimed to estimate the differences among labor market achievements during young adulthood (ages about 27) by their income class at the age of 17. This study analyzed the Korea Education and Employment Panel(KEEP) using survival analysis and Heckman's sample selection model. Main findings are as follows: First, young adults who were in the highest income class had longer period of school to work transition and higher wages compared to the lowest income class. Second, young adult who had a vocational training experience or a certification had more probability to get a first job after being graduated or dropped out of school. Third, young adult who graduated from university or had an overseas training experience had higher wages. Based on these findings, this study suggests that young adult policies have to concentrate on welfare services for the job ability of young adults who have been grown up in poor families as well as on improving educational attainment

    ํ•™๊ต์—์„œ ๋…ธ๋™์‹œ์žฅ์œผ๋กœ์˜ ์ดํ–‰ ๊ณผ์ • ๋ณ€ํ™”

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฌํšŒ๊ณผํ•™๋Œ€ํ•™ ์‚ฌํšŒ๋ณต์ง€ํ•™๊ณผ, 2018. 2. ๊ตฌ์ธํšŒ.๋ณธ ์—ฐ๊ตฌ๋Š” 1960-80๋…„๋Œ€ ์ถœ์ƒ ์ฝ”ํ˜ธํŠธ๋ฅผ ๋Œ€์ƒ์œผ๋กœ ๋งŒ19-29์„ธ์— ๊ด€์ธก๋œ ํ•™๊ต์—์„œ ๋…ธ๋™์‹œ์žฅ์œผ๋กœ ์ดํ–‰ ๊ณผ์ • ๋ณ€ํ™”๋ฅผ ๋น„๊ตํ•˜๊ณ , ์ดํ–‰ ๊ณผ์ •์ด ๊ฐ€์กฑ๋ฐฐ๊ฒฝ์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง€๋Š”์ง€ ํ™•์ธํ•˜๋Š” ๊ฒƒ์„ ๋ชฉ์ ์œผ๋กœ ํ•œ๋‹ค. ์ตœ๊ทผ ์ฒญ๋…„ ๋ฌธ์ œ๋Š” ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ์‹คํŒจ๋กœ ์••์ถ•๋œ๋‹ค. ์žฅ๊ธฐ์  ์นจ์ฒด์™€ ๋…ธ๋™์‹œ์žฅ ๋ณ€ํ™”๋Š” ํ•œ๊ตญ ์ฒญ๋…„์ธต์˜ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ๊ณผ์ •์„ ๋ณต์žกํ•˜๊ณ  ๋ถˆ์•ˆ์ •ํ•˜๊ฒŒ ๋งŒ๋“ค๊ณ  ์žˆ๋‹ค. ๊ต์œก์ˆ˜์ค€์ด ๋†’์•„์ง€๋ฉด์„œ ์ดํ–‰ ๊ธฐ๊ฐ„์ด ๋Š˜์–ด๋‚ฌ์œผ๋ฉฐ ๋…ธ๋™์‹œ์žฅ ๋ถˆ์•ˆ์ •์„ฑ ์ฆ๋Œ€๋กœ ๋…ธ๋™์‹œ์žฅ ์ง„์ž…์— ์‹คํŒจํ•˜๊ฑฐ๋‚˜, ์ง„์ž…ํ•˜๋”๋ผ๋„ ์ €์ž„๊ธˆ ๋ถˆ์•ˆ์ • ๊ณ ์šฉ์— ๋จธ๋ฌด๋Š” ์ฒญ๋…„๋“ค์ด ์ฆ๊ฐ€ํ–ˆ๋‹ค. ์ด์™€ ๋”๋ถˆ์–ด ๋ถ€๋ชจ ์˜์กด๋„๊ฐ€ ๋†’์€ ํ•œ๊ตญ์˜ ํŠน์ˆ˜์„ฑ๊ณผ ๋ถˆํ‰๋“ฑ ์‹ฌํ™”, ๊ต์œก๊ณ„์ธตํ™” ์ˆ˜์ค€์„ ๊ณ ๋ คํ•  ๋•Œ ์ฒญ๋…„์ธต์˜ ์ดํ–‰ ๊ณผ์ •์€ ๊ฐ€์กฑ๋ฐฐ๊ฒฝ์— ๋”ฐ๋ผ ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚  ์ˆ˜ ์žˆ๋‹ค. ์ฒญ๋…„์ธต์˜ ์ˆœ์กฐ๋กญ๊ณ  ์•ˆ์ •์ ์ธ ์ดํ–‰์„ ์ด‰์ง„ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๋…ธ๋™์‹œ์žฅ ์ดํ–‰์˜ ๋ณ€ํ™”์™€ ๊ทธ ๋™์ธ์„ ํ™•์ธํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ธฐ์กด ์—ฐ๊ตฌ๋“ค์€ ๋ฏธ์‹œ ํ˜น์€ ๊ฑฐ์‹œ์ ์ธ ์ด๋ก ์„ ๋ถ„์ ˆ์ ์œผ๋กœ ์ ์šฉํ•ด ๋‹จ์ผํ•œ ์ดํ–‰ ์‚ฌ๊ฑด์„ ๋ถ„์„ํ•˜๋Š”๋ฐ ๊ทธ์ณ ์ด์ฒด์  ์ดํ–‰ ๊ณผ์ •์„ ๋ณด์—ฌ์ฃผ์ง€ ๋ชปํ–ˆ๋‹ค. ๋˜ํ•œ ํ•œ๊ตญ ์ฒญ๋…„์ธต์˜ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ๊ณผ์ • ๋ณ€ํ™”์™€ ๊ทธ ์š”์ธ์„ ์‹ค์ฆ์ ์œผ๋กœ ๋ถ„์„ํ•œ ์—ฐ๊ตฌ๋Š” ๋“œ๋ฌผ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ธฐ์กด ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„๋ฅผ ๋ณด์™„ํ•˜๊ธฐ ์œ„ํ•ด ์šฐ์„ , ๋ฏธ์‹œ์™€ ๊ฑฐ์‹œ์  ์ด๋ก ์„ ํ†ตํ•ฉํ•œ ์ƒ์• ๊ณผ์ • ์ด๋ก (Life-course theory)์„ ๊ธฐ๋ฐ˜์œผ๋กœ 1960-80๋…„๋Œ€ ์ถœ์ƒ์ฝ”ํ˜ธํŠธ(birth cohort)์˜ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ๊ณผ์ • ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ–ˆ๋‹ค. ๋‹ค์Œ์œผ๋กœ, ๋…ธ๋™์‹œ์žฅ ์ดํ–‰์„ ๊ณ ๋“ฑํ•™๊ต๋ฅผ ์กธ์—…ํ•œ ๋’ค๋ถ€ํ„ฐ ๊ด€์ธก๋˜๋Š” ๋…ธ๋™์‹œ์žฅ ์ง„์ž…๊ณผ ์ •์ฐฉ ๊ณผ์ •์œผ๋กœ ์ •์˜ํ•˜๊ณ , ๋งŒ19-29์„ธ ์‹œ์ ์˜ ๋…ธ๋™๊ถค์ (work trajectory)์œผ๋กœ ์œ ํ˜•ํ™”ํ–ˆ๋‹ค. ๋…ธ๋™์‹œ์žฅ ๊ทผ์ฐฉ์„ฑ(labor market attachment)๊ณผ ๋…ธ๋™ ๋ถˆ์•ˆ์ •์„ฑ(work precariousness)์„ ๋ฐ˜์˜ํ•œ ๋…ธ๋™ ์•ˆ์ •์„ฑ์œผ๋กœ ์ดํ–‰ ๊ณผ์ •์˜ ์งˆ์ ์ธ ์ฐจ์ด๋ฅผ ๋“œ๋Ÿฌ๋ƒˆ๋‹ค. ๋…ธ๋™์‹œ์žฅ ๊ทผ์ฐฉ์„ฑ์€ ๋…ธ๋™์‹œ์žฅ ์ง„์ž… ์ „ ๋…ธ๋™์ƒํƒœ ๋ณ€ํ™”(employment status change)์™€ ์ง„์ž… ํ›„ ๊ณ ์šฉ์ด ์œ ์ง€๋˜๋Š”์ง€๋ฅผ, ๋…ธ๋™ ์•ˆ์ •์„ฑ์€ ์ž„๊ธˆ๊ณผ ์ข…์‚ฌ์ƒ ์ง€์œ„๋ฅผ ๋ฐ˜์˜ํ•œ ์ผ์ž๋ฆฌ ์งˆ ๋ณ€ํ™”๋ฅผ ๋ณด์—ฌ์ค€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์ดํ–‰ ๊ณผ์ • ๊ฒฐ์ •์š”์ธ์„ ์ฒด๊ณ„์ ์œผ๋กœ ํ™•์ธํ–ˆ๋‹ค. ์ง‘๋‹จ๋‚ด ํ•˜์œ„ ์œ ํ˜•์„ ๊ตฌ๋ถ„ํ•˜๋Š”๋ฐ ์ ํ•ฉํ•œ ์ข…๋‹จ์  ์ž ์žฌ๊ณ„์ธต๋ถ„์„(longitudinal latent class analysis)์ธ ์ง‘๋‹จ๊ธฐ๋ฐ˜๊ถค์ ๋ถ„์„(Group-based trajectory analysis)์„ ์ด์šฉํ•ด ๋…ธ๋™๊ถค์ ์„ ๋„์ถœํ•˜๊ณ  ์ฝ”ํ˜ธํŠธ๊ฐ„ ๊ถค์  ๋ถ„ํฌ์™€ ํŠน์„ฑ ์ฐจ์ด๋ฅผ ๋น„๊ตํ•˜์˜€๋‹ค. ๋˜ํ•œ ์ผ๋ฐ˜ํ™”์„ ํ˜•ํšŒ๊ท€๋ถ„์„(OLS)๊ณผ ์š”์ธ๋ถ„ํ•ด๋ฅผ ์ด์šฉํ•ด ์ดํ–‰ ๊ณผ์ • ๊ฒฐ์ •์š”์ธ์˜ ์ฝ”ํ˜ธํŠธ ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ–ˆ๋‹ค. ํ•œ๊ตญ๋…ธ๋™ํŒจ๋„์กฐ์‚ฌ(Korean Labor and Income Panel Study)์˜ ๊ฐœ์ธ ๋ฐ ๋ถ€๊ฐ€์กฐ์‚ฌ ์ž๋ฃŒ์™€ ์ง์—…๋ ฅ ์ž๋ฃŒ๋ฅผ ์ด์šฉํ•ด 1962-1985๋…„์ƒ์ด 19-29์„ธ์— ๊ฒฝํ—˜ํ•œ ๋…ธ๋™์ƒํƒœ ๋ณ€ํ™”์˜ ์›”๋ณ„ ์ž๋ฃŒ๋ฅผ ๊ตฌ์„ฑํ–ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ฝ”ํ˜ธํŠธ๊ฐ„ ์ดํ–‰ ๊ณผ์ • ๋ณ€ํ™”๋ฅผ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ๋ถ„์„๋Œ€์ƒ์„ ์‚ฌํšŒ๊ฒฝ์ œ์  ์‚ฌ๊ฑด๊ณผ ๊ฑฐ์‹œ์  ํ™˜๊ฒฝ์„ ๊ธฐ์ดˆ๋กœ ์ด 4๊ฐœ์˜ ์ถœ์ƒ์ฝ”ํ˜ธํŠธ(60์ฝ”ํ˜ธํŠธ 1962~68๋…„์ƒ, 70์ฝ”ํ˜ธํŠธ 1969~73๋…„์ƒ, 75์ฝ”ํ˜ธํŠธ 1974~80๋…„์ƒ, 80์ฝ”ํ˜ธํŠธ 1981~85๋…„์ƒ)๋กœ ๋‚˜๋ˆด๋‹ค. ์ด ๊ฐ€์šด๋ฐ ๋…ธ๋™์ƒํƒœ ๊ด€๋ จ ์ •๋ณด๊ฐ€ ํ™•์ธ๋œ ์‚ฌ๋ก€๋Š” 5,653๋ช…์ด์—ˆ๊ณ , ์ž„๊ธˆ ์ •๋ณด๊ฐ€ ์žˆ๋Š” ์‚ฌ๋ก€๋Š” 4,332๋ช…์ด์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ถ„์„ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, 19-29์„ธ ๋…ธ๋™์‹œ์žฅ ๊ทผ์ฐฉ์„ฑ๊ณผ ๋…ธ๋™ ์•ˆ์ •์„ฑ ๋ณ€ํ™”๋Š” ๊ฐ๊ฐ 6๊ฐœ์˜ ๊ถค์ ์œผ๋กœ ์œ ํ˜•ํ™”๋๋‹ค. ๋…ธ๋™์‹œ์žฅ ๊ทผ์ฐฉ์„ฑ์€ ์กฐ๊ธฐ์ง„์ž… ์ดํƒˆ, ์กฐ๊ธฐ์ง„์ž… ๋ถˆ์•ˆ์ •, ์žฅ๊ธฐ๊ต์œก ์ง„์ž…์ง€์ฒด, ์ดˆ๊ธฐ๋ถ„์ ˆ ์ดํ–‰, ์ค‘๊ธฐ ์ ์ง„์  ์ดํ–‰, ์žฅ๊ธฐ๊ต์œก ์•ˆ์ •์  ์ดํ–‰ ์œ ํ˜•์œผ๋กœ, ๋…ธ๋™ ์•ˆ์ •์„ฑ์€ ์ €์ž„๊ธˆ ์ง„์ž… ์ดํƒˆ, ์ €์ž„๊ธˆ ์œ ์ง€, ์ง„์ž…์ง€์ฒด ์ €์ž„๊ธˆ ์ƒ์Šน, ์กฐ๊ธฐ์ง„์ž… ์ €์ž„๊ธˆ ๊ฐ€๊ต, ์žฅ๊ธฐ๊ต์œก ์ž„๊ธˆ ์ƒ์Šน, ์ค‘๊ฐ„์ง„์ž… ์ž„๊ธˆ ์ƒ์Šน ์œ ํ˜•์œผ๋กœ ๋ถ„๋ฅ˜๋๋‹ค. ๋‘˜์งธ, ์ฝ”ํ˜ธํŠธ๊ฐ„ ๋…ธ๋™๊ถค์  ๋ถ„ํฌ์™€ ํŠน์„ฑ์„ ๋น„๊ต ๋ถ„์„ํ•œ ๊ฒฐ๊ณผ, ์ตœ๊ทผ ์ฝ”ํ˜ธํŠธ์˜ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ๊ณผ์ •์€ ๋ถˆ์•ˆ์ •ํ•˜๊ฒŒ ๋ณ€ํ™”ํ–ˆ๋‹ค. ๊ต์œก๊ธฐ๊ฐ„์ด ๊ธธ์–ด์ง€๋ฉด์„œ ๋…ธ๋™์‹œ์žฅ์— ๋Šฆ๊ฒŒ ์ง„์ž…ํ•˜๋Š” ์‚ฌ๋ก€๊ฐ€ ์ฆ๊ฐ€ํ•˜๊ณ , ์ผ์ฐ ์ง„์ž…ํ•ด ์ดํƒˆํ•˜๋Š” ์‚ฌ๋ก€๋Š” ํฌ๊ฒŒ ๊ฐ์†Œํ–ˆ๋‹ค. ๋Œ€ํ•™์žฌํ•™-์ทจ์—… ์œ ํ˜•์ด ์ฆ๊ฐ€ํ–ˆ๊ณ , ์ด๋กœ ์ธํ•ด ๋…ธ๋™์‹œ์žฅ ๊ทผ์ฐฉ์„ฑ์ด ๋†’์•„์กŒ๋‹ค. ํ•˜์ง€๋งŒ ์ƒํƒœ ๊ตฌ์„ฑ์˜ ๋‹ค์–‘์„ฑ์„ ๋ณด์—ฌ์ฃผ๋Š” ์—”ํŠธ๋กœํ”ผ, ์ƒํƒœ๋ณ€ํ™” ํšŸ์ˆ˜, ๊ฒฝํ—˜ํ•œ ์ผ์ž๋ฆฌ ๊ฐœ์ˆ˜๋Š” ์ฆ๊ฐ€ํ–ˆ๋‹ค. ๋˜ํ•œ ์ดํ–‰์˜ ๋ถ„์ ˆ ์ˆ˜์ค€๋„ ๋†’์•„์ ธ์„œ ๋ฏธ์ทจ์—… ๊ธฐ๊ฐ„์ด ์ฆ๊ฐ€ํ–ˆ๋‹ค. ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ๊ณผ์ •์ด ๊ณผ๊ฑฐ์— ๋น„ํ•ด ๋ณต์žกํ•˜๊ณ  ๋‹ค์–‘ํ•˜๊ฒŒ ๋ถ„ํ™”๋˜์—ˆ์Œ์„ ๋ณด์—ฌ์ค€๋‹ค. ๋…ธ๋™ ์•ˆ์ •์„ฑ๋„ ๋‚ฎ์•„์กŒ๋‹ค. ์ค‘์œ„์ž„๊ธˆ ์ด์ƒ ์ผ์ž๋ฆฌ์— ๋ฐ”๋กœ ์ง„์ž…ํ•˜๋Š” ์œ ํ˜•์ด ๊ฐ์†Œํ•˜๊ณ , ์ €์ž„๊ธˆ ๋…ธ๋™์‹œ์žฅ ์ง„์ž… ์œ ํ˜•์€ ์ฆ๊ฐ€ํ–ˆ๋‹ค. ์…‹์งธ, ์ดํ–‰ ๊ณผ์ •์˜ ๋ถˆ์•ˆ์ •์„ฑ ์ฆ๋Œ€ ์ •๋„๋Š” ์„ฑ๊ณผ ๊ต์œก์ˆ˜์ค€์— ๋”ฐ๋ผ ๋‹ฌ๋ž๋‹ค. ์—ฌ์„ฑ์˜ ๋…ธ๋™์‹œ์žฅ ๊ทผ์ฐฉ์„ฑ์€ ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€์œผ๋‚˜ ๋…ธ๋™ ์•ˆ์ •์„ฑ์€ ์—ฌ์ „ํžˆ ๋‚ฎ์•˜๋‹ค. ์—ฌ์„ฑ์˜ ๊ต์œก์ˆ˜์ค€ ์ƒ์Šน, ๊ฒฝ์ œํ™œ๋™ ์ฐธ์—ฌ ์ฆ๊ฐ€๊ฐ€ ์ผ์ž๋ฆฌ ์งˆ ์ฆ๋Œ€๋กœ ์ด์–ด์ง€์ง€ ์•Š์•˜์Œ์„ ๋ณด์—ฌ์ค€๋‹ค. ํ•œํŽธ, ๊ต์œก์ˆ˜์ค€ ์ƒํ–ฅํ™”๋กœ 4๋…„์ œ ๋Œ€ํ•™ ์ด์ƒ ๊ณ ํ•™๋ ฅ ์ฒญ๋…„์ธต์˜ ๋‚ด์  ๋ถ„ํ™”๊ฐ€ ๊ด€์ฐฐ๋๋‹ค. ์ดํ–‰ ๊ณผ์ •์˜ ๋ถˆ์•ˆ์ •์„ฑ์ด ์ปค์ง€๊ณ  ์ €์ž„๊ธˆ๊ทผ๋กœ๋ฅผ ๊ฒฝํ—˜ํ•˜๋Š” ์ฒญ๋…„์ธต์ด ์ฆ๊ฐ€ํ–ˆ๋Š”๋ฐ, ๊ณ ํ•™๋ ฅ์ž๋„ ์˜ˆ์™ธ๊ฐ€ ์•„๋‹ˆ์—ˆ๋‹ค. ์ตœ๊ทผ ์ฝ”ํ˜ธํŠธ ๊ณ ํ•™๋ ฅ์ž ์ค‘ ์žฅ๊ธฐ๊ต์œก ์ž„๊ธˆ ์ƒ์Šน ์œ ํ˜•์€ ํฌ๊ฒŒ ๊ฐ์†Œํ•˜๊ณ , ๊ทธ ์ž๋ฆฌ๋ฅผ ์ง„์ž…์ง€์ฒด ์ €์ž„๊ธˆ ์ƒ์Šน ์œ ํ˜•์ด ๋Œ€์ฒดํ–ˆ๋‹ค. OLS์™€ ์š”์ธ๋ถ„ํ•ด ๊ฒฐ๊ณผ, ์ตœ๊ทผ ์ฝ”ํ˜ธํŠธ์˜ ๊ณ ํ•™๋ ฅ์ž ์ฆ๊ฐ€(ํŠน์„ฑํšจ๊ณผ)๋Š” ๋…ธ๋™ ์•ˆ์ •์„ฑ์„ ๋†’์˜€์œผ๋‚˜, ๊ณ ํ•™๋ ฅ์ด ๋…ธ๋™ ์•ˆ์ •์„ฑ์„ ๋†’์ด๋Š” ์˜ํ–ฅ๋ ฅ์€ ๊ฐ์†Œํ•ด ๋…ธ๋™ ์•ˆ์ •์„ฑ์„ ๋–จ์–ด๋œจ๋ ธ๋‹ค. ๋„ท์งธ, ๋ถˆ๋ฆฌํ•œ ๊ฐ€์กฑ๋ฐฐ๊ฒฝ์˜ ์ฒญ๋…„์€ ๋…ธ๋™์‹œ์žฅ ๊ทผ์ฐฉ์„ฑ๊ณผ ๋…ธ๋™ ์•ˆ์ •์„ฑ์ด ๋‚ฎ์€ ์ดํ–‰์„ ๊ฒฝํ—˜ํ•  ๊ฐ€๋Šฅ์„ฑ์ด ๋†’์•˜๋‹ค. ๊ณ ๋“ฑํ•™๊ต๋ฅผ ์กธ์—…ํ•˜๊ฑฐ๋‚˜ ๋Œ€ํ•™์— ์ง„ํ•™ํ•œ ์•„๋ฒ„์ง€๋ฅผ ๋‘” ์ฒญ๋…„์€ ๊ณผ๊ฑฐ์— ๋น„ํ•ด ์žฅ๊ธฐ๊ต์œก ์•ˆ์ •์  ์ดํ–‰์ด ์ฆ๊ฐ€ํ–ˆ์œผ๋‚˜, ์ค‘์กธ ์ดํ•˜ ์ €ํ•™๋ ฅ ์•„๋ฒ„์ง€๋ฅผ ๋‘” ๊ฒฝ์šฐ์—๋Š” ๋น„์Šทํ•œ ์ˆ˜์ค€์„ ์œ ์ง€ํ–ˆ๋‹ค. ์ค‘์กธ ์ดํ•˜ ์ €ํ•™๋ ฅ ์•„๋ฒ„์ง€๋ฅผ ๋‘” ๊ฒฝ์šฐ ์ €์ž„๊ธˆ ์œ ์ง€ ์œ ํ˜•์ด ์ง€์†์ ์œผ๋กœ ์ฆ๊ฐ€ํ•œ ๋ฐ˜๋ฉด ๊ณ ์กธ๊ณผ ์ „๋ฌธ๋Œ€ ์ง„ํ•™ ์ด์ƒ ์•„๋ฒ„์ง€๋ฅผ ๋‘” ๊ฒฝ์šฐ ํฐ ๋ณ€ํ™”๊ฐ€ ์—†์—ˆ๋‹ค. ์š”์ธ๋ถ„ํ•ด์—์„œ ์•„๋ฒ„์ง€ ๊ต์œก ๊ณ„์ˆ˜์˜ ๋ณ€ํ™”๋Š” ๋ฏธ๋ฏธํ–ˆ์œผ๋‚˜, ๊ณ ํ•™๋ ฅ ์•„๋ฒ„์ง€๊ฐ€ ๋…ธ๋™์‹œ์žฅ ๊ทผ์ฐฉ์„ฑ๊ณผ ๋…ธ๋™ ์•ˆ์ •์„ฑ์— ๋ฏธ์น˜๋Š” ์ •์  ์˜ํ–ฅ์€ ์œ ์ง€๋๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ๋Š” ๊ฑฐ์‹œ๊ฒฝ์ œ์  ์กฐ๊ฑด๊ณผ ๋…ธ๋™์‹œ์žฅ ๋ณ€ํ™”์— ๋”ฐ๋ฅธ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰์˜ ์–ด๋ ค์›€์ด ๋ชจ๋“  ์ฒญ๋…„์ธต์— ๋™์ผํ•œ ์ˆ˜์ค€์œผ๋กœ ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ์•Š์Œ์„ ๋ณด์—ฌ์ค€๋‹ค. ์ดํ–‰์˜ ์–ด๋ ค์›€์€ ์ „ํ†ต์  ๋…ธ๋™ ์ทจ์•ฝ์ง‘๋‹จ์ธ ์—ฌ์„ฑ, ์ €ํ•™๋ ฅ์ž์—๊ฒŒ์„œ ์ง‘์ค‘์ ์œผ๋กœ ํ™•์ธ๋์œผ๋ฉฐ, ๊ฐ€์กฑ๋ฐฐ๊ฒฝ์— ๋”ฐ๋ผ ๊ณ„์ธตํ™”๋˜๋Š” ์–‘์ƒ๋„ ๋ถ€๋ถ„์ ์œผ๋กœ ๋ฐœ๊ฒฌ๋๋‹ค. ์ด๋Š” ์ข‹์€ ์ผ์ž๋ฆฌ์— ์ทจ์—…ํ•  ์ˆ˜ ์žˆ๋Š” ์ฒญ๋…„๋“ค๊ณผ ๊ทธ๋ ‡์ง€ ์•Š์€ ์ฒญ๋…„๊ฐ„์˜ ๊ฒฉ์ฐจ๊ฐ€ ์ปค์ง€๊ณ , ์ดํ–‰ ๊ณผ์ •์ด ๋ถˆ์•ˆ์ •ํ•ด์ง€๋Š” ์ดํ–‰์˜ ์–‘๊ทนํ™”(Polarization of transition) ์–‘์ƒ์ด ํ•œ๊ตญ ์ฒญ๋…„์ธต์—์„œ๋„ ๊ด€์ธก๋จ์„ ๋ณด์—ฌ์ค€๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๊ทธ๊ฐ„ ์ถฉ๋ถ„ํžˆ ์•Œ๋ ค์ง€์ง€ ์•Š์€ ํ•œ๊ตญ ์ฒญ๋…„์ธต์˜ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ๊ณผ์ • ๋ณ€ํ™”๋ฅผ ์ƒ์• ๊ณผ์ • ๊ด€์ ์—์„œ ์‹ค์ฆ์ ์œผ๋กœ ํ™•์ธํ–ˆ๋‹ค๋Š” ์ ์—์„œ ์ฐจ๋ณ„์„ฑ์„ ๊ฐ€์ง„๋‹ค. ๋˜ํ•œ ์ฒญ๋…„์ธต์˜ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰๊ณผ ์ •์ฐฉ์„ ์ด‰์ง„ํ•˜๋Š” ์ •์ฑ… ๋งˆ๋ จ๊ณผ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ์—ฐ๊ตฌ ์ด๋ก ํ™”์— ๊ธฐ์—ฌํ•œ๋‹ค๋Š” ์ ์—์„œ ์˜์˜๊ฐ€ ์žˆ๋‹ค. ์ด์ƒ์˜ ๊ฒฐ๊ณผ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋ณธ ์—ฐ๊ตฌ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์ ์„ ์ œ์–ธํ–ˆ๋‹ค. ์ตœ๊ทผ ์ฒญ๋…„์ธต์˜ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ์‹คํŒจ๋Š” ์ผ์‹œ์  ํ˜„์ƒ์ด ์•„๋‹ˆ๋ผ ๊ตฌ์กฐ์  ๋ณ€ํ™”๋กœ ์ธ์‹ํ•ด์•ผ ํ•œ๋‹ค. ์ฒญ๋…„์ธต์˜ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ์–ด๋ ค์›€์€ ์ƒ์• ๊ณผ์ • ๋ณ€ํ™”๋กœ ์„ค๋ช…ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ฒญ๋…„๊ธฐ ์ƒ์• ๊ณผ์ • ์œ„ํ—˜์— ๋Œ€์ฒ˜ํ•˜๊ธฐ ์œ„ํ•œ ๊ณ ๋ฏผ์ด ํ•„์š”ํ•˜๋‹ค. ๋”ฐ๋ผ์„œ ์ „ํ†ต์ ์œผ๋กœ ์ดํ–‰ ์„ฑ๊ณผ๊ฐ€ ๋‚ฎ์€ ์—ฌ์„ฑ, ์ €ํ•™๋ ฅ์ž, ๋ถˆ๋ฆฌํ•œ ๊ฐ€์กฑ๋ฐฐ๊ฒฝ์˜ ์ฒญ๋…„์ธต ์ง€์› ๋ฐฉ์•ˆ๊ณผ ๋ถˆ์•ˆ์ •์„ฑ์ด ์ฆ๊ฐ€ํ•œ ๊ณ ํ•™๋ ฅ ์ฒญ๋…„์ธต์˜ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰์„ ์ด‰์ง„ํ•˜๊ธฐ ์œ„ํ•œ ์ •์ฑ…์„ ๋งˆ๋ จํ•ด์•ผ ํ•œ๋‹ค.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 2 ์žฅ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 8 ์ œ 1 ์ ˆ ํ•™๊ต์—์„œ ๋…ธ๋™์‹œ์žฅ์œผ๋กœ ์ดํ–‰ ํ˜„ํ™ฉ 8 1. ์ฒญ๋…„์ธต์˜ ์ •์˜ 8 2. ํ•™๊ต์—์„œ ๋…ธ๋™์‹œ์žฅ์œผ๋กœ ์ดํ–‰์˜ ์˜๋ฏธ 9 3. ์ฒญ๋…„์ธต ๋…ธ๋™์‹œ์žฅ ์ดํ–‰์˜ ์–ด๋ ค์›€ 10 ์ œ 2 ์ ˆ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰์„ ์„ค๋ช…ํ•˜๋Š” ์ด๋ก  17 1. ๋ฏธ์‹œ์  ์„ค๋ช… 18 2. ๊ฑฐ์‹œ์  ์„ค๋ช… 24 ์ œ 3 ์ ˆ ํ•™๊ต์—์„œ ๋…ธ๋™์‹œ์žฅ์œผ๋กœ ์ดํ–‰ ๊ณผ์ • ๋ณ€ํ™” 31 1. ์ƒ์• ๊ณผ์ • ๊ด€์ ์—์„œ ๋ฐ”๋ผ๋ณธ ์ดํ–‰ ๊ณผ์ • ๋ณ€ํ™” 31 2. ํ•œ๊ตญ์˜ ๊ฑฐ์‹œ์  ํ™˜๊ฒฝ ๋ณ€ํ™” 40 ์ œ 4 ์ ˆ ์—ฐ๊ตฌ๋ฌธ์ œ ๋ฐ ์—ฐ๊ตฌ๊ฐ€์„ค 48 1. ์—ฐ๊ตฌ๋ฌธ์ œ 48 2. ์—ฐ๊ตฌ๊ฐ€์„ค 49 ์ œ 3 ์žฅ ์—ฐ๊ตฌ๋ฐฉ๋ฒ• 56 ์ œ 1 ์ ˆ ํ•™๊ต์—์„œ ๋…ธ๋™์‹œ์žฅ์œผ๋กœ ์ดํ–‰์˜ ๊ฐœ๋…๊ณผ ์ธก์ • 56 1. ํ•™๊ต์—์„œ ๋…ธ๋™์‹œ์žฅ์œผ๋กœ ์ดํ–‰ ๊ฐœ๋…์— ๋Œ€ํ•œ ๋‘ ๊ด€์  56 2. ์ฒญ๋…„์ธต์˜ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ๊ณผ์ • ๊ฐœ๋…ํ™”์™€ ๊ด€๋ จ๋œ ์Ÿ์  59 3. ํ•™๊ต์—์„œ ๋…ธ๋™์‹œ์žฅ์œผ๋กœ ์ดํ–‰์˜ ๊ฐœ๋…๊ณผ ์ธก์ • 64 ์ œ 2 ์ ˆ ๋ถ„์„๋Œ€์ƒ 69 1. ๋ถ„์„๋Œ€์ƒ 70 2. ๋ถ„์„์ž๋ฃŒ 73 ์ œ 3 ์ ˆ ๋ถ„์„๋ชจํ˜• 78 ์ œ 4 ์ ˆ ํ•™๊ต์—์„œ ๋…ธ๋™์‹œ์žฅ์œผ๋กœ ์ดํ–‰ ๊ณผ์ • ํƒˆํ‘œ์ค€ํ™” 80 1. ์ดํ–‰ ๊ณผ์ • ์œ ํ˜•ํ™” 80 2. ์ดํ–‰ ์œ ํ˜• ํŠน์„ฑ ๋น„๊ต ๋ถ„์„ 89 ์ œ 5 ์ ˆ ๊ณ„์ธตํ™”: ๊ฐ€์กฑ๋ฐฐ๊ฒฝ๊ณผ ์ดํ–‰ ๊ณผ์ • ๊ด€๊ณ„ ๋ณ€ํ™” 91 1. ๊ฐ€์กฑ๋ฐฐ๊ฒฝ๊ณผ ์ดํ–‰ ๊ณผ์ •์˜ ๊ด€๊ณ„ 91 2. ์š”์ธ๋ถ„ํ•ด 94 3. ๋ณ€์ˆ˜์„ค๋ช… 96 ์ œ 4 ์žฅ ๋ถ„์„ ๊ฒฐ๊ณผ 98 ์ œ 1 ์ ˆ ์ผ๋ฐ˜์  ํŠน์„ฑ 98 ์ œ 2 ์ ˆ ํ•™๊ต์—์„œ ๋…ธ๋™์‹œ์žฅ์œผ๋กœ ์ดํ–‰ ๊ณผ์ • ๋ณ€ํ™” 104 1. ๋…ธ๋™์‹œ์žฅ ๊ทผ์ฐฉ์„ฑ ๋ณ€ํ™” 104 2. ๋…ธ๋™ ์•ˆ์ •์„ฑ ๋ณ€ํ™” 123 3. ๋…ธ๋™์‹œ์žฅ ๊ทผ์ฐฉ์„ฑ๊ณผ ๋…ธ๋™ ์•ˆ์ •์„ฑ์˜ ๊ด€๊ณ„ 141 4. ์†Œ๊ฒฐ 143 ์ œ 3 ์ ˆ ๋…ธ๋™์‹œ์žฅ ์ดํ–‰ ๊ณผ์ •์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ 146 1. ๊ฐ€์กฑ๋ฐฐ๊ฒฝ๊ณผ ๋…ธ๋™์‹œ์žฅ ๊ทผ์ฐฉ์„ฑ์˜ ๊ด€๊ณ„ 146 2. ๊ฐ€์กฑ๋ฐฐ๊ฒฝ๊ณผ ๋…ธ๋™ ์•ˆ์ •์„ฑ์˜ ๊ด€๊ณ„ 158 ์ œ 5 ์žฅ ๊ฒฐ๋ก  168 ์ œ 1 ์ ˆ ๊ฒฐ๊ณผ์˜ ์š”์•ฝ 168 1. ์ดํ–‰ ๊ณผ์ • ์œ ํ˜•ํ™” 168 2. ์ดํ–‰ ๊ณผ์ • ๋ณ€ํ™” 170 ์ œ 2 ์ ˆ ๋…ผ์˜ 174 1. ์ดํ–‰ ๊ณผ์ • ๋ณ€ํ™” 174 2. ์ดํ–‰ ๊ณผ์ • ๊ณ„์ธตํ™” 176 ์ œ 3 ์ ˆ ์ •์ฑ… ์ œ์–ธ 178 ์ œ 4 ์ ˆ ์—ฐ๊ตฌ์˜ ์˜์˜ 180 ์ œ 5 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 181 ์ฐธ๊ณ ๋ฌธํ—Œ 184 ๋ถ€๋ก 212 Abstract 224Docto
    corecore