30 research outputs found

    An Analysis on the Policy Evaluation Method in the Labor Market

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    ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ตœ๊ทผ์— ๊ฐœ๋ฐœ๋œ ๋‹ค์–‘ํ•œ ๊ณ ์šฉ์ •์ฑ… ํ‰๊ฐ€ ๋ฐฉ๋ฒ•๋ก ์— ๋Œ€ํ•ด์„œ ๋น„๊ต ๋ถ„์„ํ•˜๊ณ , ํŠนํžˆ ๊ฒฝ์ œ์ „๋ฌธ๊ฐ€ ํ˜น์€ ํ†ต๊ณ„์ „๋ฌธ๊ฐ€๊ฐ€ ์•„๋‹ˆ์–ด๋„ ์ •์ฑ… ํ‰๊ฐ€๋ฅผ ์‰ฝ๊ฒŒ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•๋ก ๋“ค์—์„œ ๋Œ€ํ•ด์„œ ์ƒ์ˆ ํ•˜์˜€๋‹ค. ๋จผ์ € ๊ณ ์šฉ์˜ํ–ฅ ํ‰๊ฐ€์‹œ์˜ ๋ณธ์งˆ์  ๋ฌธ์ œ์ ์ธ ์„ ํƒ ํŽธ์˜ ๋ฌธ์ œ์— ๋Œ€ํ•ด์„œ ์„ค๋ช…ํ•˜๊ณ , ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ์‹œ๋„๋œ ๊ฐ์ข… ๋ฐฉ๋ฒ•๋ก ์— ๋Œ€ํ•˜์—ฌ ๋…ผ์˜ํ•˜์˜€๋‹ค. ์ด ์ค‘์—์„œ ๋น„๊ต์  ์‰ฝ๊ฒŒ ์ด์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•๋ก ์ธ ์„ฑํ–ฅ์ ์ˆ˜ ๋ฐ ์ง์ง“๊ธฐ ๋ชจํ˜•, ์ด์ค‘์ฐจ๊ฐ๋ฒ•, ์„ ํƒ๋ชจํ˜• ๋ฐ ๋„๊ตฌ๋ณ€์ˆ˜ ๋ชจํ˜•์— ๋Œ€ํ•œ ์ด๋ก ์  ์„ค๋ช…๊ณผ ํ•จ๊ป˜ ๊ตฌ์ฒด์  ์ถ”์ •์ ˆ์ฐจ๋ฅผ ์„ค๋ช…ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์ฃผ์–ด์ง„ ํ˜„์‹ค์  ์ œ์•ฝ์กฐ๊ฑดํ•˜์—์„œ ์–ด๋–ค ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ• ์ง€์— ๋Œ€ํ•ด์„œ ์•ฝ์ˆ ํ•˜์˜€๋‹ค.This paper analyzes various empirical methodologies on policy evaluations in the labor market. It focuses especially on the methods which are easily understandable and conveniently implemented by those non-specialists in economics or statistics. First, the paper explains the selection bias, the intrinsic problem in evaluating the labor market policies. It also reviews theoretical approaches to solve the selection problem. Second, it provides detailed explanations on propensity score and matching model, double-difference model, selection model and instrumental variable model. Finally, it recommends the best and/or easiest method in a given situation and dataset

    The Employment for Older Workers and the Wage Structure in Korea

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    This paper analyzes the wage structure in Korea by occupation and by industry. To identify whether the wage structure is productivity-based or seniority-based, experience-wage profiles and tenure-wage profiles are estimated. The empirical analysis finds that tenure-wage profiles are steeper than experience-wage profiles in all occupations and in all industries. The steep slope of the tenure-profiles imply either large accumulations of firm-specific human capital or the seniority-based wage structure. Especially, the slopes of tenure-profiles are very high for both specialist and unskilled workers who do not have much firm-specific human capitals. This finding shows that seniority-base wage structure are still prevalent in Korean firms. Without the productivity-based structure, however, any measure to increase the employment and/or the hiring for older workers would be ineffective.๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ•œ๊ตญ์˜ ๊ณ ๋ น์ž ์ž„๊ธˆ ์ฒด๊ณ„๋ฅผ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ๊ฒฝ๋ ฅ-์ž„๊ธˆ ๊ณก์„ ๊ณผ ๊ทผ์†-์ž„๊ธˆ ๊ณก์„ ์„ ์‚ฐ์—…๋ณ„โ€ค์ง์ข…๋ณ„๋กœ ์ถ”์ •ํ•˜์˜€๋‹ค. ๊ทผ์†์—ฐ์ˆ˜-์ž„๊ธˆ ๊ณก์„ ์ด ๊ฐ€ํŒŒ๋ฅธ ์ด์œ ๋Š” ๊ธฐ์—…ํŠน์ˆ˜์  ์ธ์ ์ž๋ณธ(firm-specific human capital)์˜ ์ถ•์ ์ด ๋งŽ๊ฑฐ๋‚˜, ์—ฐ๊ณต๊ธ‰์  ์„ฑ๊ฒฉ์œผ๋กœ ์ž„๊ธˆ์ด ์ƒ์Šนํ•˜๋Š” ๊ฒฝ์šฐ์ด๋‹ค. ์‹ค์ฆ๋ถ„์„์— ์˜ํ•˜๋ฉด, ๊ธฐ์—…ํŠน์ˆ˜์  ์ธ์ ์ž๋ณธ์˜ ์ถ•์ ์ด ๊ฑฐ์˜ ์—†๋Š” ์ „๋ฌธ๊ฐ€์™€ ๋ฏธ์ˆ™๋ จ๊ทผ๋กœ์ž๋ฅผ ํฌํ•จํ•œ ๋ชจ๋“  ์ง์ข…์—์„œ ๊ทผ์†-์ž„๊ธˆ ๊ณก์„ ์ด ๊ฐ€ํŒŒ๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” ์•„์ง๊นŒ์ง€ ์šฐ๋ฆฌ๋‚˜๋ผ ๊ธฐ์—…๋“ค์ด ์—ฐ๊ณต๊ธ‰์ œ์— ์˜ํ•œ ์ž„๊ธˆ์ฒด๊ณ„๊ฐ€ ์ฃผ๋ฅผ ์ด๋ฃจ๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค€๋‹ค. ๋˜ํ•œ, ์‚ฐ์—…๋ณ„ ๋ถ„์„์—์„œ๋„ ๊ธฐ์—… ๋‚ด๋ถ€์ž-์™ธ๋ถ€์ž ๊ฐ„ ์ž„๊ธˆ๊ฒฉ์ฐจ ์—ญ์‹œ ํฐ ํŽธ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ–ฅํ›„ ์ž„๊ธˆ ์œ ์—ฐ์„ฑ์„ ์ œ๊ณ ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ธฐ์—… ๋‚ด๋ถ€์˜ ์ž„๊ธˆ์ฒด๊ณ„๋ฅผ ๋Šฅ๋ ฅ, ์ง๋ฌด ๋ฐ ์„ฑ๊ณผ ์ค‘์‹ฌ์˜ ์ž„๊ธˆ์ฒด๊ณ„๋กœ ์ „ํ™˜ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ์ž„๊ธˆ์ฒด๊ณ„ ์œ ์—ฐํ™”๊ฐ€ ์ด๋ฃจ์–ด์ง€์ง€ ์•Š์œผ๋ฉด ์ž„๊ธˆํ”ผํฌ์ œ๋„, ์ •๋…„์—ฐ์žฅ, ์žฌ๊ณ ์šฉ ๋“ฑ์˜ ์ •์ฑ…์ด ๋ชจ๋‘ ํšจ๊ณผ๋ฅผ ๋ณด์ด๊ธฐ ํž˜๋“ค๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค

    ๋ฏธ์‹œ์  ๋ชจ์˜์‹คํ—˜์„ ์œ„ํ•œ ์ถ”์ข…๋ชจํ˜•์˜ ๋น„๊ต๋ถ„์„์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :ํ† ๋ชฉ๊ณตํ•™๊ณผ ๋„์‹œ๊ณตํ•™์ „๊ณต,1998.Maste

    The Employment for Older Workers and the Wage Structure in Korea

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    ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ํ•œ๊ตญ์˜ ๊ณ ๋ น์ž ์ž„๊ธˆ ์ฒด๊ณ„๋ฅผ ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด ๊ฒฝ๋ ฅ-์ž„๊ธˆ ๊ณก์„ ๊ณผ ๊ทผ์†-์ž„๊ธˆ ๊ณก์„ ์„ ์‚ฐ์—…๋ณ„ยท์ง์ข…๋ณ„๋กœ ์ถ”์ •ํ•˜์˜€๋‹ค. ๊ทผ์†์—ฐ์ˆ˜-์ž„๊ธˆ ๊ณก์„ ์ด ๊ฐ€ํŒŒ๋ฅธ ์ด์œ ๋Š” ๊ธฐ์—…ํŠน์ˆ˜์  ์ธ์ ์ž๋ณธ(firm-specific human capital)์˜ ์ถ•์ ์ด ๋งŽ๊ฑฐ๋‚˜, ์—ฐ๊ณต๊ธ‰์  ์„ฑ๊ฒฉ์œผ๋กœ ์ž„๊ธˆ์ด ์ƒ์Šนํ•˜๋Š” ๊ฒฝ์šฐ์ด๋‹ค. ์‹ค์ฆ๋ถ„์„์— ์˜ํ•˜๋ฉด, ๊ธฐ์—…ํŠน์ˆ˜์  ์ธ์ ์ž๋ณธ์˜ ์ถ•์ ์ด ๊ฑฐ์˜ ์—†๋Š” ์ „๋ฌธ๊ฐ€์™€ ๋ฏธ์ˆ™๋ จ๊ทผ๋กœ์ž๋ฅผ ํฌํ•จํ•œ ๋ชจ๋“  ์ง์ข…์—์„œ ๊ทผ์†-์ž„๊ธˆ ๊ณก์„ ์ด ๊ฐ€ํŒŒ๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ์ด๋Š” ์•„์ง๊นŒ์ง€ ์šฐ๋ฆฌ๋‚˜๋ผ ๊ธฐ์—…๋“ค์ด ์—ฐ๊ณต๊ธ‰์ œ์— ์˜ํ•œ ์ž„๊ธˆ์ฒด๊ณ„๊ฐ€ ์ฃผ๋ฅผ ์ด๋ฃจ๊ณ  ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค€๋‹ค. ๋˜ํ•œ, ์‚ฐ์—…๋ณ„ ๋ถ„์„์—์„œ๋„ ๊ธฐ์—… ๋‚ด๋ถ€์ž-์™ธ๋ถ€์ž ๊ฐ„ ์ž„๊ธˆ๊ฒฉ์ฐจ ์—ญ์‹œ ํฐ ํŽธ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ–ฅํ›„ ์ž„๊ธˆ ์œ ์—ฐ์„ฑ์„ ์ œ๊ณ ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ธฐ์—… ๋‚ด๋ถ€์˜ ์ž„๊ธˆ์ฒด๊ณ„๋ฅผ ๋Šฅ๋ ฅ, ์ง๋ฌด ๋ฐ ์„ฑ๊ณผ ์ค‘์‹ฌ์˜ ์ž„๊ธˆ์ฒด๊ณ„๋กœ ์ „ํ™˜ํ•˜๋Š” ๊ฒƒ์ด ํ•„์š”ํ•˜๋‹ค. ์ž„๊ธˆ์ฒด๊ณ„ ์œ ์—ฐํ™”๊ฐ€ ์ด๋ฃจ์–ด์ง€์ง€ ์•Š์œผ๋ฉด ์ž„๊ธˆํ”ผํฌ์ œ๋„, ์ •๋…„์—ฐ์žฅ, ์žฌ๊ณ ์šฉ ๋“ฑ์˜ ์ •์ฑ…์ด ๋ชจ๋‘ ํšจ๊ณผ๋ฅผ ๋ณด์ด๊ธฐ ํž˜๋“ค๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค.This paper analyzes the wage structure in Korea by occupation and by industry. To identify whether the wage structure is productivity-based or seniority-based, experience-wage profiles and tenure-wage profiles are estimated. The empirical analysis finds that tenure-wage profiles are steeper than experience-wage profiles in all occupations and in all industries. The steep slope of the tenure-profiles imply either large accumulations of firm-specific human capital or the seniority-based wage structure. Especially, the slopes of tenure-profiles are very high for both specialist and unskilled workers who do not have much firm-specific human capitals. This finding shows that seniority-base wage structure are still prevalent in Korean firms. Without the productivity-based structure, however, any measure to increase the employment and/or the hiring for older workers would be ineffective

    An Analysis of Growing Wage Inequality and the Relief Measures : Analysis of Human Capital Corporate Panel Survey

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    21์„ธ๊ธฐ ์„ธ๊ณ„ํ™” ์‹œ๋Œ€๋ฅผ ๋งž์•„ ์ง€์‹์ •๋ณดํ™” ์‚ฌํšŒ๋กœ ์ง„์ž…ํ•˜๋ฉด์„œ ๋…ธ๋™์‹œ์žฅ์—์„œ์˜ ๋ถˆํ‰๋“ฑ ํ˜„์ƒ์€ ๋”์šฑ ์‹ฌํ™”๋˜๊ณ  ์žˆ๋‹ค. ๊ทผ๋กœ์†Œ๋“์˜ ๋ถˆํ‰๋“ฑ ์ฆ๊ฐ€๋Š” ๋ฌผ๋ก  ๊ณ ์šฉ์˜ ์–‘๊ณผ ์งˆ์—์„œ์˜ ๋ถˆํ‰๋“ฑ๋„ ์ปค์ง€๊ณ  ์žˆ๋‹ค. ์ด๋Š” ์—ฌ๋Ÿฌ ๊ฐ€์ง€ ์ œ๋„์  ์š”์ธ ๋•Œ๋ฌธ์ด๊ธฐ๋„ ํ•˜์ง€๋งŒ ์ฃผ๋กœ ๋…ธ๋™๊ณต๊ธ‰๊ณผ ๋…ธ๋™์ˆ˜์š”์˜ ์˜ํ–ฅ ๋•Œ๋ฌธ์ด๋ผ ๋ณผ ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์šฐ๋ฆฌ๋‚˜๋ผ ๋…ธ๋™์‹œ์žฅ ๋ถˆํ‰๋“ฑ ํ˜„์ƒ์˜ ์›์ธ์„ ๋…ธ๋™์‹œ์žฅ์—์„œ์˜ ์ˆ˜์š”์™€ ๊ณต๊ธ‰ ์ธก๋ฉด์—์„œ ์ฐพ์•„๋ณด์•˜๊ณ , ํŠนํžˆ ๋…ธ๋™์ˆ˜์š” ์ธก๋ฉด์˜ ์š”์ธ์œผ๋กœ ๊ธฐ์ˆ ์ง„๋ณด์˜ ํšจ๊ณผ๋ฅผ ์ฃผ๋กœ ๋ถ„์„ํ•˜์˜€๋‹ค. ํ•œ๊ตญ์ง์—…๋Šฅ๋ ฅ๊ฐœ๋ฐœ์›์ด ๊ตฌ์ถ•ํ•˜๊ณ  ์žˆ๋Š” ์ธ์ ์ž๋ณธ๊ธฐ์—…ํŒจ๋„(HCCP)๋ฅผ ํ™œ์šฉํ•˜์˜€์œผ๋ฉฐ, ์ด๋Š” ๋ณธ๊ณ ์˜ ๋ถ„์„์—์„œ ๊ฐ€์žฅ ์ ํ•ฉํ•œ ์ž๋ฃŒ์ด๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ์ตœ๊ทผ์˜ ๊ธฐ์ˆ ์ง„๋ณด์™€ ๊ทผ๋กœ์ž๋“ค์˜ ๋…ธ๋™์‹œ์žฅ ์„ฑ๊ณผ ๊ฐ„์˜ ๊ด€๊ณ„๋ฅผ ๋ถ„์„ํ•จ์œผ๋กœ์จ ๊ธฐ์ˆ ์ง„๋ณด์˜ ์š”์ธ์ด ๋…ธ๋™์‹œ์žฅ ๋ถˆํ‰๋“ฑ์— ์–ด๋–ค ์˜ํ–ฅ์„ ๋ฏธ์ณค๋Š”์ง€๋ฅผ ํŒŒ์•…ํ•˜์˜€๋‹ค. ๊ทธ ๊ฒฐ๊ณผ, ๊ธฐ์ˆ ์ง„๋ณด์˜ ํšจ๊ณผ๋Š” ๋ชจ๋“  ๊ทผ๋กœ์ž๋“ค์—๊ฒŒ ์ผ๋ฅ ์ ์œผ๋กœ ๋‚˜ํƒ€๋‚˜๋Š” ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ๊ทผ๋กœ์ž๋งˆ๋‹ค ์ถ•์ ๋œ ์ธ์ ์ž๋ณธ์˜ ์ข…๋ฅ˜์™€ ์–‘์— ๋”ฐ๋ผ ๋‹ฌ๋ผ์ง€๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋˜ํ•œ ๊ธฐ์ˆ ์ง„๋ณด์˜ ์„ฑ๊ฒฉ ๋ฐ ๊ทธ ์ถฉ๊ฒฉ์˜ ์ข…๋ฅ˜์— ๋”ฐ๋ผ์„œ ๊ทผ๋กœ์ž์˜ ์ƒ๋Œ€์  ์ƒ์‚ฐ์„ฑ(์ž„๊ธˆ)์€ ๋‹ฌ๋ผ์งˆ ์ˆ˜ ์žˆ์Œ์„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ์ด๋Ÿฌํ•œ ์ ์—์„œ ๋ณธ๋‹ค๋ฉด ํ–ฅํ›„ ์ธ์ ์ž๋ณธ์ •์ฑ… ์—ญ์‹œ ์„ธ๋ถ„ํ™”๋  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ์•ž์œผ๋กœ ๊ธฐ์ˆ ์€ ๋”์šฑ ์ง„๋ณดํ•  ๊ฒƒ์ด๊ณ  ๊ธฐ์—…์˜ ์™ธ๋ถ€ํ™˜๊ฒฝ ๋ณ€ํ™”๋Š” ๊ฐˆ์ˆ˜๋ก ๋ถˆํ™•์‹คํ•ด์งˆ ๊ฒƒ์ด๋‹ค. ๋”ฐ๋ผ์„œ ์ธ์  ์ž๋ณธ์— ๋Œ€ํ•œ ํˆฌ์ž ์—ญ์‹œ ๋‹จ์ˆœํžˆ ๊ณ ํ•™๋ ฅํ™”๋ฅผ ๋ชฉํ‘œ๋กœ ํ•  ๊ฒƒ์ด ์•„๋‹ˆ๋ผ ์ฃผ์–ด์ง„ ์—ฌ๊ฑด์— ๋”ฐ๋ผ ํ•„์š”ํ•œ ๊ต์œก๊ณผ ํ›ˆ๋ จ์ด ์‹ค์‹œ๋˜๋Š” ๋ฐฉ์‹์œผ๋กœ ๋ฐ”๋€Œ์–ด์•ผ ํ•œ๋‹ค. ํ–ฅํ›„ ๊ธฐ์ˆ ์ง„๋ณด์™€ ์™ธ๋ถ€ํ™˜๊ฒฝ ๋ณ€ํ™”์— ์ž˜ ์ ์‘ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜๋Š” ๊ต์œก๊ณผ ํ›ˆ๋ จ์˜ ๋‚ด์šฉ์— ๊ด€๋ จ๋œ ์—ฐ๊ตฌ๊ฐ€ ๋” ํ•„์š”ํ•  ๊ฒƒ์ด๋‹ค. โ—‹ ์ฃผ์š”๋‚ด์šฉ - ๊ทผ๋กœ์†Œ๋“ ๋ถˆํ‰๋“ฑ์— ๊ด€ํ•œ ๊ธฐ์กด ๋ฌธํ—Œ ์—ฐ๊ตฌ - ๋…ธ๋™์‹œ์žฅ์˜ ์ˆ˜์š”ยท๊ณต๊ธ‰ ๋ชจํ˜• - ๋…ธ๋™์ˆ˜์š” ๋ณ€ํ™” ๋ฐ ๊ธฐ์ˆ ์ง„๋ณด์˜ ํšจ๊ณผ - ์‹ค์ฆ๋ถ„์„ - ์š”์•ฝ ๋ฐ ์ •์ฑ…๋Œ€์•ˆโ… . Introduction With the advent of the knowledge-based economy, earnings inequality became worse in Korea like other advanced economies such as the United States. There are various factors affecting the earnings inequality: shifts in labor supply, shifts in labor demand and institutional changes in the labor market. The main cause of the widening inequality among others is changes in labor demand, especially changes in technology. This study focuses on the impact of technological changes on earnings inequality in Korea. Using HCCP data set, this study tests the skill biased technological change among various workers. โ…ก. Previous Literature The employment and wage level in the labor market are determined by the labor supply and labor demand in a given labor institutes. Therefore, changes in employment and wage level are also affected by these factors: shifts in labor supply, labor demand and labor institutes. Shifts in the labor institutes include changes in minimum wage level, union density, changes in labor law and etc. In explaining the widening wage gap in the United States as well as other countries such as Korea, many studies confirm the role of skill biased technological change. There are, however, other phenomena which can not be explained by the SBTC hypothesis. So, there have been various arguments on the changes in labor demand. โ…ข. Model Specification The modified Mincerian earnings equation is used to estimate the determinants of workers' earnings. Specifically, the dependent variable is log hourly wage and independent variables include individual workers' human capital characteristics as well as one's job information. It also includes the technology level the worker confronts with at his/her job places. In this specification, wages of skilled workers as well as those of unskilled workers would rise when there are skill-neutral technological changes. However, when there are skill-biased technological changes, relative demand for skilled workers will arise. To identify the effect, the interaction terms between schooling years and technological change variables are added to the equation. Therefore, when there is skill biased technological change, the coefficient of the interaction term between schooling years and technological change variable is positive.๋ชฉ ์ฐจ ์ œ1์žฅ ์„œ๋ก  ์ œ2์žฅ ๊ทผ๋กœ์†Œ๋“ ๋ถˆํ‰๋“ฑ์— ๊ด€ํ•œ ๊ธฐ์กด ๋ฌธํ—Œ ์—ฐ๊ตฌ 1. ์™ธ๊ตญ ๋ฌธํ—Œ์˜ ๊ฒ€ํ†  5 2. ๊ตญ๋‚ด ๋ฌธํ—Œ์˜ ๊ฒ€ํ†  13 ์ œ3์žฅ ์ด๋ก ์  ๋ชจํ˜• 1. ๋…ธ๋™์‹œ์žฅ์˜ ์ˆ˜์š”ใ†๊ณต๊ธ‰ ๋ชจํ˜• 19 2. ๋…ธ๋™์ˆ˜์š” ๋ณ€ํ™”์˜ ํšจ๊ณผ 22 3. ๊ธฐ์ˆ ์ง„๋ณด์˜ ํšจ๊ณผ 32 ์ œ4์žฅ ์‹ค์ฆ๋ถ„์„ 1. ์‚ฌ์šฉ์ž๋ฃŒ 35 2. ์ž„๊ธˆํ•จ์ˆ˜ ๊ธฐ๋ณธ ๋ชจํ˜• 39 3. ์ˆ™๋ จํŽธํ–ฅ ๊ธฐ์ˆ ์ง„๋ณด ๋ชจํ˜• 51 4. ์„ฑ๋ณ„ ๋ชจํ˜• 68 5. ์‚ฐ์—… ๋ฐ ์ง์ข…๋ณ„ ๋ชจํ˜• 86 ์ œ5์žฅ ์š”์•ฝ ๋ฐ ์ •์ฑ…๋Œ€์•ˆ SUMMARY 101 109 ์ฐธ๊ณ ๋ฌธํ—Œ 18

    An Analysis on the Policy Evaluation Method in the Labor Market

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    ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ตœ๊ทผ์— ๊ฐœ๋ฐœ๋œ ๋‹ค์–‘ํ•œ ๊ณ ์šฉ์ •์ฑ… ํ‰๊ฐ€ ๋ฐฉ๋ฒ•๋ก ์— ๋Œ€ํ•ด์„œ ๋น„๊ต ๋ถ„์„ํ•˜๊ณ , ํŠนํžˆ ๊ฒฝ์ œ์ „๋ฌธ๊ฐ€ ํ˜น์€ ํ†ต๊ณ„์ „๋ฌธ๊ฐ€๊ฐ€ ์•„๋‹ˆ์–ด๋„ ์ •์ฑ… ํ‰๊ฐ€๋ฅผ ์‰ฝ๊ฒŒ ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•๋ก ๋“ค์—์„œ ๋Œ€ํ•ด์„œ ์ƒ์ˆ ํ•˜์˜€๋‹ค. ๋จผ์ € ๊ณ ์šฉ์˜ํ–ฅ ํ‰๊ฐ€์‹œ์˜ ๋ณธ์งˆ์  ๋ฌธ์ œ์ ์ธ ์„ ํƒํŽธ์˜ ๋ฌธ์ œ์— ๋Œ€ํ•ด์„œ ์„ค๋ช…ํ•˜๊ณ , ์ด ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ์‹œ๋„๋œ ๊ฐ์ข… ๋ฐฉ๋ฒ•๋ก ์— ๋Œ€ํ•˜์—ฌ ๋…ผ์˜ํ•˜์˜€๋‹ค. ์ด ์ค‘์—์„œ ๋น„๊ต์  ์‰ฝ๊ฒŒ ์ด์šฉํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•๋ก ์ธ ์„ฑํ–ฅ์ ์ˆ˜ ๋ฐ ์ง์ง“๊ธฐ ๋ชจํ˜•, ์ด์ค‘์ฐจ๊ฐ๋ฒ•, ์„ ํƒ๋ชจํ˜• ๋ฐ ๋„๊ตฌ๋ณ€์ˆ˜ ๋ชจํ˜•์— ๋Œ€ํ•œ ์ด๋ก ์  ์„ค๋ช…๊ณผ ํ•จ๊ป˜ ๊ตฌ์ฒด์  ์ถ”์ •์ ˆ์ฐจ๋ฅผ ์„ค๋ช…ํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์ฃผ์–ด์ง„ ํ˜„์‹ค์  ์ œ์•ฝ์กฐ๊ฑดํ•˜์—์„œ ์–ด๋–ค ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ• ์ง€์— ๋Œ€ํ•ด์„œ ์•ฝ์ˆ ํ•˜์˜€๋‹ค.This paper analyzes various empirical methodologies on policy evaluations in the labor market. It focuses especially on the methods which are easily understandable and conveniently implemented by those non-specialists in economics or statistics. First, the paper explains the selection bias, the intrinsic problem in evaluating the labor market policies. It also reviews theoretical approaches to solve the selection problem. Second, it provides detailed explanations on propensity score and matching model, double-difference model, selection model and instrumental variable model. Finally, it recommends the best and/or easiest method in a given situation and dataset
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