臺灣人文及社會科學引文索引資料庫系統

:::

詳目顯示

回上一頁
第 1 筆 / 總合 1 筆   第一頁 上一頁 下一頁 最後一頁
/1頁
題名：有關電腦使用與性別差異之研究
作者：江文基
作者(外文)：Wun-Ji Jiang
校院名稱：國立臺灣大學
系所名稱：農業經濟學研究所
指導教授：陸怡蕙
學位類別：博士
出版日期：2016
主題關鍵詞：電腦使用；網路使用；性別差異；薪資差異；Blider-Oaxaca拆解；台灣；Computer use；Internet use；Gender difference；Wage gap；Blider-Oaxaca decomposition；Taiwan
原始連結：連回原系統網址new window
相關次數：
  • 被引用次數被引用次數:期刊(0) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:0
  • 共同引用共同引用:0
  • 點閱點閱:13
本論文包含兩篇有關電腦使用與性別差異的實證研究。
第一篇(本文第貳章)：
從網路採用、使用與使用模式探討台灣性別數位落差
本研究由網路採用、使用與使用模式三個面向來探討台灣目前性別數位落差情況。利用「台灣個人/家戶數位機會2012年調查資料」，實證結果發現性別在網路採用方面並未存在顯著差異。然而，在修正樣本選擇偏誤之後，本文發現台灣女性網路使用時間顯著低於男性。此外，拆解結果進一步顯示網路使用時間之性別差異有34-47%可被兩者之社會經濟差異所解釋，有48-66%是來自性別特定因素。最後，在其他條件不變之下，本研究之模擬結果發現若網路使用時間之性別差異可以被消弭，女性會有較高的機率使用網路搜尋健康與政府資訊，表示加快網路使用時間性別差異的彌合速度對相關單位而言是重要的。
第二篇(本文第參章)：
電腦使用與性別薪資差異─台灣之實證研究
過去已有相當多的文獻探討工作上電腦使用與薪資之間的關聯，然而，針對電腦使用與性別薪資差異的討論卻是相對較少。本研究旨在分析電腦使用對於性別薪資結構影響的差異，並彌補過去文獻不足之處。利用台灣資料，本研究首先發現工作經驗、教育程度、廠商規模與職業別是影響電腦使用的重要因素。其次，雖然OLS估計結果顯示電腦使用對於男女薪資皆有正向影響，然而，在修正電腦使用可能的內生性問題後，本研究實證結果發現，平均而言，電腦使用的男性薪資報酬率為23%，但對女性薪資卻沒有顯著影響。此結果顯示，在OLS的估計中，女性電腦使用的薪資溢酬是自我「選擇」的結果。第三，應用非條件分量迴歸，本文進一步發現，電腦使用對於低薪資分量的勞工有顯著正向影響，且女性群組的影響效果大於男性群組。此外，無論男女，電腦使用在高薪資分量並沒有顯著的影響效果，此結果說明了電腦使用溢酬在不同薪資分量之間具有異質性。最後，利用Blinder-Oaxaca拆解，本文結果顯示台灣性別薪資差異主要來自於傳統人力資本的稟賦差異與歧視，尤其在低薪資分量的女性，勞動市場對於人力資本評價的歧視情形更為嚴重。此外，電腦使用報酬率與稟賦的差異與對於台灣性別薪資差異的貢獻則是相當小。
This dissertation includes two essays on computer use and gender differences.
Essay 1 (Chapter 2 in this dissertation):
Exploring Gender Digital Divide in Taiwan from the Perspectives of Internet Adoption, Use and Usage Patterns
This paper explores gender digital divide in Taiwan from the perspectives of internet adoption, use and usage patterns. Using 2012 Survey of Digital Divide in Taiwan, it is found that gender is not a significant factor determining internet adoption. However, after correcting for Heckman’s sample selection bias, the result reveals that females in Taiwan spend less time on internet than do males. The Blinder-Oaxaca decomposition results further suggest that the gender gap in usage time is the mixed product of both socio-economic difference, accounting for 34-47% of the gap, and gender specific factors, accounting for 48-66% of the gap. Finally, all else equal, the simulation shows that females are inclined to use internet for health information and e-government as the gender digital divide in internet use is eliminated, suggesting a boost to the elimination of the gender gap in internet use is important for Taiwanese government.
Essay 2 (Chapter 3 in this dissertation):
Computer Use and Gender Wage Differential: Evidence from Taiwan
Although there is a considerable body of literature examining the impact of on-the-job computer use on personal wage, little of them are known about the association between computer use and gender wage differential. In an effort to fill this knowledge void, the present study investigates the differential impacts of computer use on gender wage structures. Using the data from Taiwan, the findings first suggest that working experience, education, firm size and occupation are important determinants of on-the-job computer use. In addition, after correcting for the endogeneity of computer use, it is found that, on average, the rate of returns to computer use is 23% for males while it is not evident for females. This finding suggests the OLS estimates of the returns to computer use for females are biased upward as a result of positive self-selection. Third, by applying unconditional quantile regression, it is found that, no matter for males or females, the returns to computer use are more pronounced for employees at the lower quantile of wage distribution, suggesting the impact of computer use are heterogeneous across different quantiles of wage distribution. Moreover, the result suggests that the females at the lower quantile of wage distribution have higher returns to computer use than their male counterparts. Finally, the result of Blinder-Oaxaca decomposition reveals that most of the gender wage differential can be explained by the discrimination, particularly for those females at the lower quantile of wage distribution. However, the contributions of the coefficient and endowment effects of computer use to the gender wage gap are quite small.
第壹章 緒論
Arabsheibani, G. R., J. M. Emami, and A. Marinnn. (2004), “The Impact of Computer Use on Earnings in the UK, ” Scottish Journal of Political Economy, 51, 82-94.
Banerjee, S., R. Parai, and A. K. Parai. (2007), “Computer Use and Wage Differentials: US and Foreign Born Male and Female Workers, ” Applied Economics Letters, 14, 409-413.
Bimber, B. (2000), “Measuring the Gender Gap on the Internet,” Social Science Quarterly, 81, 868-876.
Blinder, A. (1973), “Wage Discrimination: Reduced Forms and Structural Estimation,” Journal of Human Resources, 8, 436-455.
Borghans, L., and B. Weel. (2004), “Are Computer Skills the New Basic Skills? The Returns to Computer, Writing and Math Skills in Britain,” Labour Economics, 11, 85-98.
Cheong, P. H. (2007), “Gender and Perceived Internet Efficacy: Examining Secondary Digital Divide Issues in Singapore,” Women''s Studies in Communication, 30, 205-228.
Danyal, S., P. Maskara, and Naqvi A. (2011), “Impact of Computer Skills on Wages in USA,” Applied Economics Letters, 18, 1077-1081.
Dholakia, R. R. (2006), “Gender and IT in the Household: Evolving Patterns of Internet Use in the United States,” The Information Society, 22, 231-240.
DiNardo, J. E., and J.-S. Pischke. (1997), “The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?” Quarterly Journal of Economics, 112, 291-303.
Dolton, P., and G. Makepeace. (2004), “Computer Use and Earnings in Britain,” Economic Journal, 114, C117-C129.
Dolton, P., and P. Pelkonen. (2008), “The Wage Effects of Computer Use: Evidence from WERS 2004,” British Journal of Industrial Relations, 46, 587-630.
Dostie, B., R. Jayaraman, and M. Trépanier. (2010), “What (If Any) Are the Returns to Computer Use?” Applied Economics, 42, 3903-3912.
Durndell, A., and Z. Hagg. (2002), “Computer Self Efficacy, Computer Anxiety, Attitudes towards the Internet and Reported Experience with the Internet, by Gender, in an East European Sample,” Computers in Human Behavior, 18, 521-535.
Firpo, S., N. M. Fortin, and T. Lemieux. (2009), “Unconditional Quantile Regressions,” Econometrica, 77, 953-973.
Green, F., A. Felstead, D. Gallie, and Y. Zhou. (2007), “Computers and Pay,” National Institute Economic Review, 201, 63-75.
Haskel, J. (1999), “Small Firms, Contracting‐out, Computers and Wage Inequality: Evidence from UK Manufacturing,” Economica, 66, 1-21.
Hilbert, M. (2011), “Digital Gender Divide or Technologically Empowered Women in Developing Countries? A Typical Case of Lies, Damned Lies, and Statistics,” Women''s Studies International Forum, 34, 479-489.
Kennedy, T., B. Wellman, and K. Klement. (2003), “Gendering the Digital Divide,” IT & Society, 1, 72-96.
Koch, S. C., S. M. Muller, and M. Sieverding. (2008), “Women and Computers. Effects of Stereotype Threat on Attribution of Failure,” Computers & Education, 51, 1795-1803.
Krueger, A. B. (1993), “How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984-1989,” Quarterly Journal of Economics, 108, 33-60.
Liff, S., and A. Shepherd. (2004), “An Evolving Gender Digital Divide? Oxford Internet Institute,” Internet Issue Brief, 2, 1-17.
Liu, J. T., M. W. Tsou, and J. K. Hammitt. (2004), “Computer Use and Wages: Evidence from Taiwan,” Economics Letters, 82, 43-51.
Losh, S. C. (2004), “Gender, Educational, and Occupational Digital Gaps 1983-2002,” Social Science Computer Review, 22, 152-166.
Noriss, P. (2001), Digital Divide: Civic Engagement, Information Poverty and the Internet in Democratic Societies. New York: Cambridge University.
Oaxaca, R. (1973), “Male-Female Wage Differentials in Urban Labor Markets,” International Economic Review, 14, 693-709.
Ono, H., and M. Zavodny. (2003), “Gender and the Internet,” Social Science Quarterly, 84, 111-121.
Pabilonia, S. W., and C. Zoghi. (2005), “Returning to the Returns to Computer Use,” American Economic Review, 95, 314-317.
Schumacher, P., and J. Morahan-Martin. (2001), “Gender, Internet and Computer Attitudes and Experiences.,” Computers in Human Behavior, 17, 95-110.
Sherman, R. C., C. End, E. Kraan, A. Cole, J. Campbell, Z. Birchmeier, and J. Klausner. (2000), “The Internet Gender Gap among College Students: Forgotten but Not Gone?” CyberPsychology & Behavior, 3, 885-894.
Siegel, D. S. (1998), “The Impact of Technological Change on Employment: Evidence from a Firm-level Survey of Long Island Manufacturers,” Economics of Innovation and New Technology, 5, 227-246.
Thayer, S. E., and S Ray. (2006), “Online Communication Preferences across Age, Gender, and Duration of Internet Use,” CyberPsychology & Behanior, 9, 432-440.
Van Dijk, J. A. G. M. (2012), “The Evolution of the Digital Divide: The Digital Divide Turns to Inequality of Skills and Usage.” In Digital Enlightenment Yearbook 2012, edited by J. Bus et al. Amsterdam, Netherlands: IOS Press.

第貳章 從網路採用、使用與使用模式探討台灣性別數位落差
一、中文部分
陳碧姬與吳宜鮮(2005)，「家庭內兩性數位機會、電腦態度與網路使用行為初探」，《資訊社會研究》，9，295-324。
二、英文部分
Aguiar, M., and E. Hurst. (2007), “Measuring Trends in Leisure: The Allocation of Time over Five Decades,” Quarterly Journal of Economics, 122, 969-1006.
Becker, G. S. (1965), “A Theory of the Allocation of Time,” Economic Journal, 75, 493-517.
Bimber, B. (2000), “Measuring the Gender Gap on the Internet,” Social Science Quarterly, 81, 868-876.
Blinder, A. (1973), “Wage Discrimination: Reduced Forms and Structural Estimation,” Journal of Human Resources, 8, 436-455.
Chang, H. H., and D. R. Just. (2009), “Internet Access and Farm Household Income-Empirical Evidence Using a Semi-parametric Assessment in Taiwan,” Journal of Agricultural Economics, 60, 348-366.
Cheong, P. H. (2007), “Gender and Perceived Internet Efficacy: Examining Secondary Digital Divide Issues in Singapore,” Women’s Studies in Communication, 30, 205-228.
Cotton, J. (1988), “On the Decomposition of Wage Differentials,” Review of Economics and Statistics, 70, 236-243.
Dholakia, R. R. (2006), “Gender and IT in the Household: Evolving Patterns of Internet Use in the United States,” The Information Society, 22, 231-240.
Dickerson, M. D., and J. W. Gentry. (1983), “Characteristics of Adopters and Non-adopters of Home Computers,” Journal of Consumer Research, 10, 225-235.
Doctor, R. D. (1991), “Information Technologies and Social Equity: Confronting the Revolution,” Journal of the American Society for Information Science, 42, 216-228.
Drouard, J. (2011), “Costs or Gross Benefits? - What Mainly Drives Cross-sectional Variance in Internet Adoption,” Information Economics and Policy, 23, 127-140.
Duncan, G. M., and D. E. Leigh. (1980), “Wage Determination in the Union and Nonunion Sectors: A Sample Selectivity Approach,” Industrial and Labor Relations Review, 34, 24-34.
Durndell, A., and Z. Hagg. (2002), “Computer Self Efficacy, Computer Anxiety, Attitudes towards the Internet and Reported Experience with the Internet, by Gender, in an East European Sample,” Computers in Human Behavior, 18, 521-535.
Dutton, W, E Helsper, and M Gerber. (2011), The Internet in Britain in 2011. Oxford: Oxford Internet Institute.
Eysenbach, G. (2001), “What is E-health?” Journal of medical Internet research, 3, e20.
Gardeazabal, J., and A. Ugidos. (2004), “More on Identification in Detailed Wage Decompositions,” Review of Economics and Statistics, 86, 1034-1036.
Goldfarb, A., and J. Prince. (2008), “Internet Adoption and Usage Patterns Are Different: Implications for the Digital Divide,” Information Economics and Policy, 20, 2-15.
Heckman, J. (1979), “Sample Selection Bias as a Specification Error,” Econometrica, 47, 153-161.
Hitt, L., and P. Tambe. (2007), “Broadband Adoption and Content Consumption,” Information Economics and Policy, 19, 362-378.
Hoffman, D. L., and T. P. Novak. (1998), “Bridging the Racial Divide on the Internet,” Science, 280, 390-391.
Horrace, W. C., and R. L. Oaxaca. (2001), “Inter-industry Wage Differentials and the Gender Wage Gap: An Identification Problem,” Industrial and Labor Relations Review, 54, 611-618.
Howland, J. (1998), “The ‘Digital Divide’: Are We Becoming a World of Technological ‘Haves’ and ‘Have-nots’?” Electronic Library, 16, 287-289.
Jackson, L. A., K. S. Ervin, P. D. Gardner, and N. Schmitt. (2001), “Gender and the Internet: Women Communicating and Men Searching,” Sex Roles, 44, 363-379.
Jones, F. L. (1983), “On Decomposing the Wage Gap: A Critical Comment on Blinder’s Method,” Journal of Human Resources, 18, 126-130.
Kennedy, T., B. Wellman, and K. Klement. (2003), “Gendering the Digital Divide,” IT & Society, 1, 72-96.
Koch, S. C., S. M. Muller, and M. Sieverding. (2008), “Women and Computers. Effects of Stereotype Threat on Attribution of Failure,” Computers & Education, 51, 1795-1803.
Li, N., and G. Kirkup. (2007), “Gender and Cultural Differences in Internet Use: A Study of China and the UK,” Computers & Education, 48, 301-317.
Liff, S., and A. Shepherd. (2004), “An Evolving Gender Digital Divide?” Oxford Internet Institute, Internet Issue Brief, 2, 1-17.
Losh, S. C. (2004), “Gender, Educational, and Occupational Digital Gaps 1983-2002,” Social Science Computer Review, 22, 152-166.
Malanda, M., V. B. Jenvey, and J. G. Phillips. (2004), “Internet Use in Adulthood: Loneliness, Computer Anxiety and Education,” Behavior Change, 21, 103-114.
McFadden, D. (1974), “The Measurement of Urban Travel Demand,” Journal of Public Economics, 3, 303-328.
McFadden, D. (1981), Econometrics Models of Probabilistic Choice. Edited by C. Manski and D. McFadden, Structural Analysis of Discrete Data. Cambridge: MIT
Neumark, D. (1988), “Employers’ Discriminatory Behavior and the Estimation of Wage Discrimination,” Journal of Human Resources, 23, 279-295.
Noriss, P. (2001), Digital Divide: Civic Engagement, Information Poverty and the Internet in Democratic Societies. New York: Cambridge University.
Oaxaca, R. (1973), “Male-Female Wage Differentials in Urban Labor Markets,” International Economic Review, 14, 693-709.
Oaxaca, R. L., and M. R. Ransom. (1999), “Identification in Detailed Wage Decompositions,” Review of Economics and Statistics, 81, 154-157.
OECD. (2001), Understanding the Digital Divide. Paris: OECD.
Ono, H., and M. Zavodny. (2003), “Gender and the Internet,” Social Science Quarterly, 84, 111-121.
Orviska, M., and J. Hudson. (2009), “Dividing or Uniting Europe? Internet Usage in the EU,” Information Economics and Policy, 21, 279-290.
Reimers, C. W. (1983), “Labor Market Discrimination against Hispanic and Black Men,” Review of Economics and Statistics, 65, 570-579.
Rice, R. E. (2006), “Influences, Usage, and Outcomes of Internet Health Information Searching: Multivariate Results from Pew Surveys,” International Journal of Medical Informatics, 75, 8-28.
Rogers, E. M. (1983), Diffusion of Innovations. New York: Free.
Roycroft, T. R. (2013), “Empirical Study of Broadband Adoption Using Data from the 2009 Residential Energy Consumption Survey,” Journal of Regulatory Economics, 43, 214-228.
Sabzian, F., and A. P. Gilakjani. (2013), “Teachers’ Attitudes about Computer Technology Training, Professional Development, Integration, Experience, Anxiety, and Literacy in English Language Teaching and Learning,” International Journal of Applied Science and Technology, 3 (67-75).
Scealy, M., J. G. Phillips, and R. Stephenson. (2002), “Shyness and Anxiety as Predictors of Patterns of Internet Usage,” Cyberpyschology and Behavior, 5, 507-515.
Schumacher, P., and J. Morahan-Martin. (2001), “Gender, Internet and Computer Attitudes and Experiences,” Computers in Human Behavior, 17, 95-110.
Selwyn, N. (2006), “Digital Division or Digital Decision? A Study of Non-users and Low-users of Computers,” Poetics, 34, 273-292.
Shaw, L. H., and L. M. Gant. (2002), “Users Divided? Exploring the Gender Gap in Internet Use,” CyberPsychology & Behavior, 5, 517-527.
Sherman, R. C., C. End, E. Kraan, A. Cole, J. Campbell, Z. Birchmeier, and J. Klausner. (2000), “The Internet Gender Gap among College Students: Forgotten but Not Gone?” CyberPsychology & Behavior, 3, 885-894.
Tai, C. C., and C. C. Lin. (2004), “Taiwanese Adolescents’ Perceptions and Attitudes Regarding the Internet: Exploring Gender Differences,” Adolescents, 39, 725-734.
Van Deursen, A. J. A. M., and J. A. G. M. Van Dijk. (2014), “The Digital Divide Shifts to Differences in Usage,” New Media & Society, 16, 507-526.
Van Dijk, J. A. G. M. (2006), “Digital Divide Research, Achievements and Shortcomings,” Poetics, 34, 221-235.
Van Dijk, J. A. G. M. (2012), “The Evolution of the Digital Divide: The Digital Divide Turns to Inequality of Skills and Usage” In Digital Enlightenment Yearbook 2012, edited by J. Bus et al. Amsterdam, Netherlands: IOS Press.
Van Dijk, J. A. G. M., and K. Hacker. (2003), “The Digital Divide as a Complex and Dynamic Phenomenon,” The Information Society: An International Journal, 19, 315-326.
Vicente, M. R., and A. J. López. (2010), “A Multidimensional Analysis of the Disability Digital Divide: Some Evidence for Internet Use,” The Information Society, 26, 48-64.
Victory, N. J., and K. B. Cooper. (2002), A Nation Online: How Americans Are Expanding Their Use of the Internet. Washington, DC: National Telecommunications and Information Administration, Economics and Statistics Administration, U.S. Department of Commerce.
Wilder, G., D. Mackie, and J. Cooper. (1985), “Gender and Computers: Two Computer-related Attitudes,” Sex Roles, 13, 215-228.
Wooldridge, J. M. (2010), Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press.
Yun, M. S. (2005), “A Simple Solution to the Identification Problem in Detailed Wage Decompositions,” Economic Inquiry, 43, 766-772.

第參章 電腦使用與性別薪資差異─台灣之實證研究
一、中文部分
徐美、陳明郎與方俊德（2006），台灣產業結構變遷和性別歧視對男女薪資溢酬變動趨勢之影響，《經濟論文》，34，505-539。new window
陳建良與管中閔（2006），台灣工資函數與工資性別歧視的分量迴歸分析，《經濟論文》，34，435-468。
莊奕琦與楊孟嘉（2014），中國農民工與城鎮勞工之薪資差異與歧視，《人文及社會科學集刊》，26，525-553。
劉錦龍、劉錦添（1988），台灣地區公共部門與民間部門工資率的比較，《經濟論文叢刊》，16，393-412。new window
二、英文部分
Arabsheibani, G. R., J. M. Emami, and A. Marinnn. (2004), “The Impact of Computer Use on Earnings in the UK,” Scottish Journal of Political Economy, 51, 82-94.
Banerjee, S., R. Parai, and A. K. Parai. (2007), “Computer Use and Wage Differentials: US and Foreign Born Male and Female Workers,” Applied Economics Letters, 14, 409-413.
Blinder, A. (1973), “Wage Discrimination: Reduced Forms and Structural Estimation,” Journal of Human Resources, 8, 436-455.
Borghans, L., and B. Weel. (2004), “Are Computer Skills the New Basic Skills? The Returns to Computer, Writing and Math Skills in Britain,” Labour Economics, 11, 85-98.
Bound, J., and G. Johnson. (1992), “Changes in the Structure of Wages in the 1980''s: An Evaluation of Alternative Explanations,” American Economic Review, 82, 371-392.
Brown, C., and J. Medoff. (1989), “The Employer Size-Wage Effect,” Journal of Political Economy, 97, 1027-1059.
Buchinsky, M. (1994), “Changes in the US Wage Structure 1963-1987: Application of Quantile Regression,” Econometrica, 62, 405-458.
Chennells, L., and J. Van Reenen. (1997), “Technical Change and Earnings in British Establishments,” Economica, 64, 587-604.
Chennells, L., and J. Van Reenen. (1998), “Establishment Level Earnings, Technology and the Growth of Inequality: Evidence from Britain,” Economics of Innovation and New Technology, 5, 139-164.
Danyal, S., P. Maskara, and Naqvi A. (2011), “Impact of Computer Skills on Wages in USA,” Applied Economics Letters, 18, 1077-1081.
DiNardo, J. E., and J.-S. Pischke. (1997), “The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?” Quarterly Journal of Economics, 112, 291-303.
Dolton, P., and G. Makepeace. (2004), “Computer Use and Earnings in Britain,” Economic Journal, 114, C117-C129.
Dolton, P., G. Makepeace, and H. Robinson. (2007), “Use It or Lose It? The Impact of Computers on Earnings,” Manchester School, 75, 673-694.
Dolton, P., and P. Pelkonen. (2008), “The Wage Effects of Computer Use: Evidence from WERS 2004,” British Journal of Industrial Relations, 46, 587-630.
Doms, M., T. Dunne, and K. R. Troske. (1997), “Workers, Wages, and Technology,” Quarterly Journal of Economics, 112, 253-290.
Dostie, B., R. Jayaraman, and M. Trépanier. (2010), “What (If Any) Are the Returns to Computer Use?” Applied Economics, 42, 3903-3912.
Duncan, G. M., and D. E. Leigh. (1980), “Wage Determination in the Union and Nonunion Sectors: A Sample Selectivity Approach,” Industrial and Labor Relations Review, 34, 24-34.
Dunne, T., and J. A. Schmitz Jr. (1995), “Wages, Employment Structure and Employer Size-wage Premia: Their Relationship to Advanced-technology Usage at US Manufacturing Establishments,” Economica, 62, 89-107.
Entorf, H., and F. Kramarz. (1997), “Does Unmeasured Ability Explain the Higher Wages of New Technology Workers?” European Economic Review, 41, 1489-1509.
Firpo, S., N. M. Fortin, and T. Lemieux. (2009), “Unconditional Quantile Regressions,” Econometrica, 77, 953-973.
Fortin, N. M., T. Lemieux, and S. Firpo. (2011), “Decomposition Methods in Economics,” In Handbook of Labor Economics, edited by O. Ashenfelter and D. Card, 1-102. Amsterdam: North-Holland.
Gallant, A. R., and D. W. Nychka. (1987), “Semi-Nonparametric Maximum Likelihood Estimation,” Econometrica, 55, 363-390.
Garcia, J., P. J. Hernández, and A. Lopez-Nicolas. (2001), “How Wide Is the Gap? An Investigation of Gender Wage Differences Using Quantile Regression,” Empirical Economics, 26, 149-167.
Gardeazabal, J., and A. Ugidos. (2004), “More on Identification in Detailed Wage Decompositions,” Review of Economics and Statistics, 86, 1034-1036.
Green, F., A. Felstead, D. Gallie, and Y. Zhou. (2007), “Computers and Pay,” National Institute Economic Review, 201, 63-75.
Haskel, J. (1999), “Small Firms, Contracting‐out, Computers and Wage Inequality: Evidence from UK Manufacturing,” Economica, 66, 1-21.
Heckman, J. (1979), “Sample Selection Bias as a Specification Error,” Econometrica, 47, 153-161.
Heckman, J. J., and V. J. Hotz. (1986), “An Investigation of the Labor Market Earnings of Panamanian Males: Evaluating the Sources of Inequality,” Journal of Human Resources, 21, 507-542.
Horowitz, J. L. (1992), “A Smoothed Maximum Score Estimator for the Binary Response Model,” Econometrica, 60, 505-531.
Horrace, W. C., and R. L. Oaxaca. (2001), “Inter-industry Wage Differentials and the Gender Wage Gap: An Identification Problem,” Industrial and Labor Relations Review, 54, 611-618.
Imbens, G. W., and J. M. Wooldridge. (2009), “Recent Developments in the Econometrics of Program Evaluation,” Journal of Economic Literature, 47, 5-86.
Jones, F. L. (1983), “On Decomposing the Wage Gap: A Critical Comment on Blinder''s Method,” Journal of Human Resources, 18, 126-130.
Koenker, R. (2005), Quantile Regression. New York: Cambridge University Press.
Koenker, R., and G. Bassett. (1978), “Regression Quantiles,” Econometrica, 46, 33-50.
Koenker, R., and K. F. Hallock. (2001), “Quantile Regression,” Journal of Economic Perspectives, 15, 143-156.
Krueger, A. B. (1993), “How Computers Have Changed the Wage Structure: Evidence from Microdata, 1984-1989,” Quarterly Journal of Economics, 108, 33-60.
Liu, J. T., M. W. Tsou, and J. K. Hammitt. (2001), “The Impact of Advanced Technology Adoption on Wage Structures: Evidence from Taiwan Manufacturing Firms,” Economica, 68, 359-378.
Liu, J. T., M. W. Tsou, and J. K. Hammitt. (2004), “Computer Use and Wages: Evidence from Taiwan,” Economics Letters, 82, 43-51.
Melenberg, B. and A. van Soest. (1996), “Measuring the Costs of Children: Parametric and Semiparametric Estimators,” Statistica Neerlandica, 50, 171-192.
Mellow, W. (1982), “Employer Size and Wages,” Review of Economics and Statistics, 64, 495-501.
Melly, B. (2005), “Public-private Sector Wage Differentials in Germany: Evidence from Quantile Regression,” Empirical Economics, 30, 505-520.
Mincer, J. (1974), Schooling, Experience, and Earnings. New York: Columbia University Press.
Mueller, R. E. (2001), “Public-private Sector Wage Differentials in Canada: Evidence from Quantile Regressions,” Economics Letters, 60, 229-235.
Newgard, C. D., J. R. Hedges, M. Arthur, and R. J. Mullins. (2004), “Advanced Statistics: the Propensity Score—A Method for Estimating Treatment Effect in Observational Research,” Academic Emergency Medicine, 11, 953-961.
Oaxaca, R. (1973), “Male-female Wage Differentials in Urban Labor Markets,” International Economic Review, 14, 693-709.
Oaxaca, R. L., and M. R. Ransom. (1999), “Identification in Detailed Wage Decompositions,” Review of Economics and Statistics, 81, 154-157.
Oosterbeek, H. (1997), “Returns from computer use: A Simple Test on the Productivity Interpretation,” Economics Letters, 55, 273-277.
Pabilonia, S. W., and C. Zoghi. (2005), “Returning to the Returns to Computer Use,” American Economic Review, 95, 314-317.
Pietro, G. D. (2007), “The Effect of Computer Use on Earnings in Italy,” Empirical Economics, 33, 245-262.
Reimers, C. W. (1983), “Labor Market Discrimination against Hispanic and Black Men,” Review of Economics and Statistics, 65, 570-579.
Schmidt, C. M., and K. F. Zimmermann. (1991), “Work Characteristics, Firm Size and Wages,” Review of Economics and Statistics, 73, 705-710.
Siegel, D. S. (1998), “The Impact of Technological Change on Employment: Evidence from a Firm-level Survey of Long Island Manufacturers,” Economics of Innovation and New Technology, 5, 227-246.
Wooldridge, J. M. (2010), Econometric Analysis of Cross Section and Panel Data. Cambridge, MA: MIT Press.
Yun, M. -S. (2005), “A Simple Solution to the Identification Problem in Detailed Wage Decompositions,” Economic Inquiry, 43, 766-772.
Zoghi, C., and S. W. Pabilonia. (2007), “Which Workers Gain upon Adopting a Computer?,” Canadian Journal of Economics, 40, 423-444.

第肆章 總結、研究限制與未來研究方向
Imbens, G. W., and J. M. Wooldridge. (2009), “Recent Developments in the Econometrics of Program Evaluation,” Journal of Economic Literature, 47, 5-86.
Van Dijk, J. A. G. M. (2012), “The Evolution of the Digital Divide: The Digital Divide Turns to Inequality of Skills and Usage,” In Digital Enlightenment Yearbook 2012, edited by J. Bus et al. Amsterdam, Netherlands: IOS Press.

 
 
 
 
第一頁 上一頁 下一頁 最後一頁 top
:::
無相關著作
 
QR Code
QRCODE

臺灣人文及社會科學引文索引資料庫

目前上線人數：545（臺灣：480，外國：65） ／ 本年度總使用人次：1068971 ／ 訪客人次（自102年09月）：66913342
國家圖書館著作權聲明 Copyright © 2013 All rights reserved.
本館地址: 100201臺北市中山南路20號． 本館地圖及交通資訊．
總機：(02)23619132．最佳瀏覽解析度為1024x768以上