国有部门和非国有部门工资差异的经验研究
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摘要
随着中国经济持续高速增长,企业职工的工资水平明显得到提升。然而,在城镇居民收入不断提升的同时,城镇劳动力市场中一直存在严重的国有部门和非国有部门之间的市场分割。本文在对工资差异理论及其经验研究方法进行系统梳理的基础上,应用微观经济计量方法,对中国城镇劳动力市场中国有部门和非国有部门之间的工资差异及其影响因素进行了系统的分析。
     不同劳动力群体间的工资差异也自然而然地受到了诸多经济学者的关注。在工资差异理论的发展历程中,主要有三种理论广泛运用,分别是补偿性工资差异理论、新古典学派工资差异理论、歧视和劳动力市场分割导致的工资差异理论。补偿性工资差异理论认为,工作安全程度、工作承担责任和工作成功可能性等工作场所差异将导致相同特征的劳动力工资水平存在明显差异。新古典学派工资差异理论认为,劳动力个体的工资水平与其所具有的人力资本水平有关,且个体在生产过程中所付出的努力是工资的函数,因而工资增加将会提高生产效率。歧视理论认为,劳动力市场中针对某群体的歧视导致了劳动力个体间的工资差异。劳动力市场分割理论认为,劳动力市场的分割使得处于不同市场中企业具有不同的垄断权,因而可以为劳动力支付不同的工资。
     依据劳动力市场工资差异相关理论,大量经济学者给出了群体间工资差异的分解方法,包括传统的工资差异经验研究方法、工资分布上的工资差异经验研究方法、考虑到劳动力市场分割的工资差异经验研究方法以及考虑区域经济因素的工资差异经验研究方法。随着经验研究方法的发展,经济学者基于不同数据对劳动力市场中不同群体间的工资差异进行了分析。本文结合中国实际,对中国劳动力市场中国有部门和非国有部门间的工资差异进行系统分析。
     首先,依据2007年中国城镇家庭收入调查数据(CHIP),建立Mincer工资方程,并应用Heckman两步骤方法消除样本选择偏差,对工资方程进行回归,借鉴Oaxaca和Blinder的工资差异分解方法,对国有部门和非国有部门的总体工资差异进行分解。分析结果表明,国有部门和非国有部门劳动力之间存在明显的工资差异。国有部门的工资水平明显高于非国有部门的工资水平,且国有部门和非国有部门间的劳动力人力资本差异导致的工资差异为0.11,占总体工资差异的45%,劳动力市场所有制分割导致的部门间工资差异为0.13,占总体工资差异的55%。因此,政府部门设计和实施公平的就业制度和工资制度,消除劳动力流动的障碍,将不仅有助于国有部门和非国有部门间工资差异的缩小,而且有助于中国经济持续健康稳定的增长。
     其次,依据2002年和2007年的中国城镇家庭收入调查数据,应用微观经济计量方法和工资差异分解方法分析国有部门和非国有部门间工资差异的变动。分析结果表明,2002年至2007年间,国有部门和非国有部门间的小时工资对数差异由0.29降至0.23,但所有制因素导致的部门间工资差异却在增大,表明部门间工资差异的缩小主要是由两部门间劳动力特征差异的缩小导致的。因此,政府部门在努力提高国有部门劳动效率的同时,努力消除劳动力在国有部门和非国有部门间的流动障碍,消除国有企业对市场的垄断,将有助于国有部门和非国有部门间工资差异的缩小。
     再次,依据2007年中国城镇家庭收入调查数据,建立工资方程的分位数回归模型,并应用M-M分解方法,分解国有部门和非国有部门工资分布差异。分析结果表明,在工资分布的所有分位数上,非国有部门的工资水平均明显低于国有部门的工资水平。随着分位点的提高,国有部门和非国有部门间的工资差异表现出不断下降的趋势。随着工资水平的提高,部门间工资差异的缩小主要由部门间劳动力个体特征差异的缩小导致。因此,针对低收入群体,政府部门应努力提高非国有部门的劳动力的教育和经验水平,促进其工资水平的提高;针对高收入群体,应消除垄断等所有制分割因素带来的工资差异,使其工资更加市场化,才能有效地缩小国有部门和非国有部门间的工资差距。
     最后,依据2007年中国城镇家庭收入调查数据,建立城镇居民工资方程的多层模型,对国有部门和非国有部门的工资方程分别进行回归,进而分析地区经济环境对部门间工资差异的影响。分析结果表明,地区市场化水平的提高对国有部门和非国有部门的工资均具有显著的正向影响,但也将使得所有制分割等因素导致的部门间工资差异增大;失业率的上升对国有部门的工资获得具有显著的正向影响,而对非国有部门工资获得具有显著的负向影响,因而地区失业率的提高将使得所有制分割等因素导致的部门间工资差异增大。因此,政府在注重提高劳动力人力资本水平的同时,应均衡各地区的发展,提高欠发达地区的市场化水平,更应注重社会的公平性,加大劳动力资源在不同地区之间的流动,将有助于缩小国有部门和非国有部门之间的工资差异。
     本文的研究结果不仅有助于理解中国城镇劳动力市场中国有部门和非国有部门间工资差异的来源,把握劳动力市场的运行规律,而且有助于劳动力市场公共政策的评价与设计,具有理论和现实意义。
With China' economy continue rapidly, enterprise workers’ wages have been raisesignificantly. However, there has been a serious market segmentation between statesector and non-state sectors of the urban labor market, while the income of urbanresidents rise, Based on the wage gap theory and empirical research methodssystematically, using application of micro-econometric methods, to analyze, wagedifferences between Chinese authorities and the non-state sector of Chinese urbanlabor market and its influencing factors.
     Wage differences between labor groups have naturally been a serious concern ofmany economists. In the course of wage gap theory development, there are three maintheories widely used, they are compensatory wage gap theory, neoclassical theory ofwage disparities, discrimination and labor market segmentation theory lead to wagedifferentials.Compensating wage differentials theory, that is the degree of job security,job responsibilities and work successfully in the workplace, the possibility of theexistence of differences will lead to significant differences in labor wages the samelevel. Neoclassical theory that wage differences, that is wage labor and human capitalthe individual level have related to the production process and individual effort is afunction of wages, wage increases will therefore increase productivity. Discriminationtheory believes that labor market discrimination against certain groups in the laborforce led to the wage differentials between individuals. Labor market segmentationtheory suggests that labor market segmentation allows companies in different marketswith different monopoly, which can be paid different wages for the labor force.
     Based on wage differences the theory of the labor market, the large number of economists have given a decomposition method of wage differentials between groups,including traditional wage differentials empirical research methods, wage differentialswage distribution experience research methods, taking into account the differences inwage labor market segmentation experience research methods and regional economicfactors to consider wage differentials empirical research methods. With thedevelopment of empirical research methods, based on different data economists wagedifferences between groups in the labor market are analyzed. In this paper, we considerthe reality of China, the Chinese labor market Chinese wage differences betweensectors and non-state sector of system analysis.
     Firstly, according to the2007Chinese urban household income survey data(CHIP), establish Mincer wage equation and apply Heckman two-step method toeliminate sample selection bias, regression equation for wages, refer to wagedifferentials learn Oaxaca and Blinder decomposition method, the state-owned sectorand overall wage gap decomposition of non-state sector. The results show that thereis an obvious difference between the state sector wage and non-state sector workforce.State sector wages significantly higher than the non-state sector wages and wagedifferentials human capital differences in the state sector and non-state sectors resultedin0.11, accounting for45%of the overall wage differentials, labor marketsegmentation caused by ownership sectors the difference between the wages of0.13,accounting for55%of the overall wage differences. Therefore, the governmentdepartments to design and implement fair employment system and the wage system,the elimination of barriers to labor mobility, will not only help state-owned sector andthe non-state sector wage differentials narrowed, but also help China 's economycontinues to grow healthy and stable.
     Secondly, according to the2002and2007survey of Chinese urban householdincome data, applications, micro-economic approach and wage differences between measured decomposition analysis of changes in the state sector and the non-state sectorwage differences. The results showed that between year2002-2007, the number ofdifferences between the hourly wage of the state sector and the non-state sector fellfrom0.29to0.23, but the wage differentials between sectors and ownership factors isincreasing, indicating narrowing of wage differentials between sectors mainly by thecharacteristic differences between the two sectors of the labor narrow lead. Therefore,the government departments in the state sector efforts to improve labor efficiency,efforts to eliminate barriers to labor mobility between the state sector and the non-state sector, to eliminate the monopoly of state-owned enterprises on the market willhelp the wage difference between the state-owned sector and non-state sectornarrowing.
     Moreover, according to the2007Chinese urban household income survey data toestablish the wage equation quintile regression model, and apply MM decomposition, todecompose of the state sector and the distribution of non-state sector wage differences.The results show that the median wage in all of the distribution of the non-state sectorwage was lower than the average wage in the state sector. With the improvement ofsites, and the non-state sector wage differentials between the state sectors showed adeclining trend. With the increase in wage levels, department wage differentialsnarrowed between departments reduced mainly by the individual characteristics lead todifferences in the labor force. Therefore, for low-income groups, the governmentshould strive to improve the level of education and experience of non-state sectorworkforce, promote the improvement of their wages;For high-income groups, shouldeliminate the wage gap monopoly ownership split factors brought to wages moremarket-oriented, in order to effectively reduce the wage gap between the state sectorand non-state sectors.
     Finally, according to the2007Chinese urban household income survey data, to build multi-tier model of urban wage equation, the state-owned sector and thenon-state sector wage equation regression respectively, and then analyze the impact ofthe regional economic environment sector wage differences. The results show thatincreasing the level of regional markets all have significant positive impact on thewages of non-state sector and the state sector, but will also make the ownership splitbetween the department and other factors led to the wage gap increases; rise inunemployment in the state-owned wage differences between wage sector obtain asignificant positive impact, while the non-state sector wages to obtain a significantnegative impact, thus increasing regional unemployment rates and other factors willmake the ownership split led sector increases. Therefore, the government focus onimproving the level of human capital, while the balanced development of all regionsshould improve the underdeveloped areas of the market level, and also focus on socialequity, increase labor resources flow between different regions, and it will help narrowthe wage gap in the state sector and the non-state sector.
     Results of this study will not only help understand the sectors and non-state sectorwage differences of Chinese market, grasping the laws governing the operation of thelabor market, but also contribute a lot to the evaluation and design of public policies ofChinese labor market. It has theoretical and practical significance.
引文
[1]蔡昉,都阳,王美艳.中国劳动力市场转型与发育[M].北京:商务印书馆,2005.
    [2]蔡昉,都阳.我们需要什么样的劳动力市场制度[J].吉林大学社会科学学报,2005(9):29-31.
    [3]蔡玉梅.基于构建和谐社会的收入分配公平问题的研究[D].广西大学,2006.
    [4]陈戈.台湾公私部门工资差异的拟真分解——分量回归分析[J].台湾经济学,2005(3):15-17.
    [5]陈弋, Dmurger S., Fournier M.中国企业的工资差异和所有制结构[J].世界经济文汇,2005(6):11-15.
    [6]陈钊,万广华,陆铭.行业间不平等:日益重要的城镇收入差距成因[J].中国社会科学,2010(3):65-70.
    [7]迟福林主编.中国收入分配制度改革与职工持股[M].中国经济出版社,2000.
    [8]丁守海.劳动剩余条件下的供给不足与工资上涨———基于家庭分工的视角[J].中国社会科学,2011(5):4-21.
    [9]都阳,陆旸.中国自然失业率水平及其含义[J].世界经济,2011(4):3-21.
    [10]樊纲,王小鲁,朱恒鹏.中国市场化指数——各地区市场化相对进程2006年报告[M].经济科学出版社,2007.
    [11]范明悦.我国垄断行业的高收入问题及其政府规制研究[D].西安理工大学,2009.
    [12]葛玉好.工资分布的性别差异:分位数分解方法[J].上海经济研究.2007(4):22-25.
    [13]郭凤鸣.中国城镇劳动力市场中性别工资差异的经验研究[D].吉林大学,2011.
    [14]郭凤鸣,张世伟.国有部门和非国有部门中的性别工资差异——基于双重样本选择模型的经验研究[J].数量经济技术经济研究,2010(12):91-102.
    [15]郭凤鸣,张世伟.区域经济环境对工资性别差异的影响——基于多层模型的分析途径[J].人口学刊,2013(4):42-56.
    [16]郭凤鸣,张世伟.性别工资差异缘何扩大?[J].世界经济文汇,2012(4):43-59.
    [17]张世伟,郭凤鸣.城市劳动力市场中性别工资差异的变动——基于固定效应模型的研究途径[J].经济评论,2010(4):66-72.
    [18]郭继强,姜俪,陆莉莉.工资差异分解方法述评[J].经济学季刊,2011(2):363-414.
    [19]国家发展改革委发展规划司调研组.关于收入分配问题的调研[J].中国经济导刊,2009(6):12-15.
    [20]郝大海,李路路.区域差异改革中的国家垄断与收入不平等——基于2003年全国综合社会调查资料[J].中国社会科学,2006(2):110-124.
    [21]何怀宏.公平的正义[M].山东人民出版社,2002.
    [22]胡放之.中国当前工资决定机制研究[J].求实,2006(11):36-37.
    [23]胡少维.如何看待目前的居民收入差距——关于收入分配问题的思考[J].消费经济,2001(6):48-51.
    [24]黄爱军.如何看待我国的贫富差距问题[J].经济问题探索,2000(6):89-91.
    [25]黄乾.城市农民工的就业稳定性及其工资效应[J].人口研究,2009(3):53-62.
    [26]贾朋.最低工资的就业效应和收入分配效应[D].吉林大学,2012.
    [27]江皓.公平分配理论与我国转型期居民收入差距问题研究习[D].中共江苏省委党校,2006.
    [28]金玉国.马克思主义经济伦理的核心价值及其实现[J].经济伦理—马克思主义经济伦理思想研究.道德与文明,2005(1):15-17.
    [29]金玉国.马克思主义伦理和市场经济[J].决策探索,2008(11):21-23.
    [30]赖德胜.教育与收入分配[M].北京:北京师范大学出版社,2001.
    [31]李春玲,李实.市场竞争还是性别歧视——收入性别差异扩大趋势及其原因解释[J].社会学研究,2008(3):94-97.
    [32]李荻等.中国城镇就业所有制结构的演变:1988—2000年[J].经济学,2005(10):19-21.
    [33]李君如主编.社会主义和谐社会论[M].北京:人民出版社,2005.
    [34]李强.我国收入分配差距拉大的原因及对策研究[D].中共中央党校,2007.
    [35]李实,马欣欣.中国城镇职工的性别工资差异与职业分割的经验分析[J].中国人口科学.2006(5):2-13.
    [36]李实.中国经济转轨中劳动力流动模型[J].经济研究,1997(1):23-26.
    [37]李晓峰,王晓方,高旺盛.北京市农民工工资差异分解分析[J].农业经济问题,2010(2):33-37.
    [38]刘林平,张春妮.农民工工资:人力资本、社会资本、企业制度还是社会环境?[J].社会学研究,2007(6):114-137.
    [39]刘生龙.教育和经验对中国居民收入的影响——基于分位数回归和审查分位数回归的实证研究[J].数量经济技术经济研究.2008(4):75-80.
    [40]刘旭.我国垄断行业收入分配合理化研究[D].辽宁大学,2010.
    [41]陆铭.中国教育投资的个人收益率的估计[J].企业经济,2004(12):41-43.
    [42]罗楚亮.城镇居民教育收益率及其分布特征[J].经济研究,2007(6):119-201.
    [43]潘胜文.典型垄断行业职工收入状况分析及对策[J].经济问题探索,2009(1):105-107.
    [44]彭巧霞.中国企业的工资差异和所有制结构[D].南昌大学,2007.
    [45]亓寿伟,刘智强.“天花板效应”还是“地板效应”——探讨国有与非国有部门性别工资差异的分布与成因[J].数量经济技术经济研究,2009(11):63-77.
    [46]齐良书.国有部门劳动工资制度改革对教育收益率的影响——对1988-1999年中国城市教育收益率的实证研究[J].教育与经济,2005(4):19-23.
    [47]史先诚.中国劳动力市场转型与发育[M].北京:商务印刷馆,2007.
    [48]王济川,谢海义,姜宝法.多层统计分析模型——方法与应用[M].高等教育出版社,2008.
    [49]王巍巍.教育与收入分配[M].北京:北京师范大学出版社,2001.
    [50]王喜权.解决分配不公是构建和谐社会的一个关键[D].华中科技大学,2007.
    [51]肖景华,洪向华主编.社会主义和谐社会的25个理论热点[M].北京:中国方正出版社,2005.
    [52]肖玉贵.中国的经济增长、经济改革和收入差距的加大[D].山东大学,2006.
    [53]邢春冰.不同所有制企业工资决定机制考察[J].经济研究,2005(6):16-18.
    [54]邢春冰.分位回归、教育回报率与收入差距[J].统计研究.2008(5):5.
    [55]邢春冰.中国不同所有制部门的工资决定与教育回报:分位回归的证据[J].世界经济文汇,2006(8):13-15.
    [56]熊若愚.调节贫富差距坚持共同富裕[J].党政干部论坛,2010(09):11-13.
    [57]徐春莲.和谐社会视域下的收入分配公平问题探析[D].华中师范大学,2007.
    [58]薛欣欣.不同所有制部门工资差异的行业分布特征分析[J].产业经济评论,2010(3):10-13.
    [59]薛欣欣.我国国有部门与非国有部门工资决定机制差异的实证研究[J].产业经济评论,2008,(1):60-81.
    [60]薛欣欣.转型时期国有部门与非国有部门工资差异研究[J].制度经济学研究,2009,(4):159-175.
    [61]杨菊华.多层模型在社会科学领域的应用[J].中国人口科学,2006(3):44-51.
    [62]姚俊.流动就业类型与农民工工资收入———来自长三角制造业的经验数据[J].中国农村经济,2010(11):53-62.
    [63]易锐.积极的就业政策和劳动力市场发育[D].湘潭大学,2009.
    [64]殷保兵.中国劳动力市场转型与发育[D].湘潭大学,2009.
    [65]俞可平.社会公平和善治是建设和谐社会的两大基石[J].中国特色社会主义研究,2005(2):10-13.
    [66]岳希明.中国城市劳动力市场回报因素分析[D].中国社会科学院研究生院,2010.
    [67]张车伟,薛欣欣.国有部门与非国有部门工资差异及人力资本贡献[J].经济研究,2008,(4):15-18.
    [68]张丹丹市场化与性别工资差异研究[J].中国人口科学,2004,(1):32-41.
    [69]张海峰.我国行业收入差距实证研究[D].浙江大学,2011.
    [70]章元,陆铭.社会网络是否有助于提高农民工的工资水平?[J].管理世界,2009(3):45-54.
    [71]朱莉莉.研究部门收入差距问题研究[D].山西财经大学,2009.
    [72]邹丽花.我国收入分配公平理念的变迁[D].河南大学,2006.
    [73]祖进.收入分配差距和经济增长的关系研究[D].西北大学,2007.
    [74] Abadie, A. Changes in Spanish Labor Income Structure during the1980's: A QuintileRegression Approach [J]. Investigations Economics,1997,21(2):253-272.
    [75] Adam Smith. Nature and Causes of the Wealth of Nations Studies [M]. Cambridge:Harvard University Press,1776.
    [76] Aligner D, Cain G.. Statistical Theories of Discrimination in the Labor Markets [J].Industrial and Labor Relations Review,1977,30(2):175-187.
    [77] Arrow K. Models of Job Discrimination China,1986-2000[J]. Journal of ComparativeEconomics,2005(33):710-729.
    [78] Bassett G, Koneke R. Strong Consistency of Regression Quintiles and Related EmpiricalProcesses [J]. Econometric Theory,1986(2):191-201.
    [79] Bland and Run. Poverty, Inequality and Growth in Urban [J]. Economic Perspectives,2010(02).
    [80] Blien, U., Wiedenbeck, M. and Arminger, G.: Reconciling Macro and Micro Perspectivesby Multilevel Models: An Application to Regional Wage Differences [A], Trends andPerspectives in Empirical Social Research[R], Edited by Borg, I. and Mahler,2011:266-282.
    [81] Blinder A. Wage discrimination: Reduced form and structural estimates [J]. Journal ofHuman Resources,1973,8(4):436-455.
    [82] Blinder, A.,. Wage Discrimination: Reduced Form and Structural Estimates [J]. Journal ofHuman Resources,1973,8:436-455.
    [83] Brown, R., Moon, M. and Zoloth, B. Incorporating Occupational Attainment in Studies ofMale-female Earnings Differentials [J]. Journal of Human Resources,1980,15:3-28.
    [84] Buchinsky M. Hahn J. An Alternative Estimator for the Censored Quintile RegressionModel Source: Econometrica [J].1998,66(3):653-671.
    [85] Buchinsky M. Hahn J. Changes in the U.S. Wage Structure1963-1987: Application ofQuintile Regression [J]. Economnetrica,1994,(2):405-458.
    [86] Buchinsky M. Hahn J. Quintile Regression with Unknown Censoring Point Yale University
    [W]. Cowles Foundation Discussion Paper,1995, No.1096.
    [87] Buchinsky M. Hahn J. Quintile Regression, Box-Cox Transformation Model, and the U.S.Wage Structure,1963-1987[J]. Journal of Econometrics [J].1995,65,109-154.
    [88] Buchinsky M. The Dynamics of Changes in the Female Wage Distribution in the USA: AQuintile Regression Approach [J]. Journal of Journal of Applied Econometrics1998(13):1-13.
    [89] Cain L, Liu, A. Public-Private Wage Gap in Australia: Variation along the Distribution[R],NBER Working paper no.4734,1994.
    [90] Cardoso, A.: Wage Differentials across Firms: An Application of Multilevel Modelling[J], Journal of Applied Econometrics,2000,15(4):343-354.
    [91] Choudhury s. Reassessing the Male-Female Wage Differential: A Fixed Effects Approach[J]. Southern Economic Journal,1993,60(2):327-340.
    [92] Dong BP. Segmentation and Discrimination in China's Emerging Industrial Labor Market[J]. China Economic Review,2002(13):170-196.
    [93] Freeman B,Richard. Decline of Labor market Discrimination and Economic Analysis [J].American Economic Review.1973,Vo1.63,No.2:280286.
    [94] Gainsay E, Lashing M. Wage Differentials between the Public and Private Sectors in India[J]. Journal of International Development,2007(19):333-355.
    [95] Gardeazabal J. Ugidos A. Gender Wage Discrimination at Quintiles Journal of PopulationEconomics [J].2005,18(1):165-179.
    [96] Gimpelson V., Lukiyanova A. Are public sector workers under paid in Russia? Estimatingthe public-private wage gap [W]. IZA, No.3941,2009.
    [97] Gout D, Maurine E. Persistence of Inter-industry Wage Differentials: A ReexaminationUsing Matched Worker-Firm Panel Data [J]. Journal of Labor Economics,1999,17(3).
    [98] Gustafson, B. and Li, S. Economic Transformation and the Gender Earnings Gap in UrbanChina [J]. Journal of Population Economics,2000,13(2):305-329.
    [99] Heckman J. Sample selection bias as a specification error [J]. Econometric,1979,47.
    [100]Heckman, J. Varieties of sample selection bias [J]. American Economic Review,1990,80(2):313-318.
    [101]Heckman, J., Sample selection bias as a specification error, E. Stromsdorfer and G. Farkas(eds)[J]. Evaluation Studies, Review Annual,5, Sage, Beverly Hills,1980:61-74.
    [102]Heckman, J.: Sample Selection Bias as a Specification Error [J], Econometric,1979,47(1):153-162.
    [103]Heitmueller A. Public-Private Sector Wage Differentials in Scotland: An EndogenousSwitching Model [W]. Isa’s research area General Labor Economics Discussion Paper,2004, No.992.
    [104]Heywood, J.S. and M.S. Mohanty. The Role of Employer and Workplace Size in the USFederal Sector Job Queue [J]. Oxford Bulletin of Economics and Statistics,1994(6):171-188.
    [105]Heywood, J.S.. Government Employment and the Provision of Fringe Benefits [J].Applied Economics,1991(23):417-423.
    [106]Ichimura, H., Semi parametric least squares (SLS) and weighted SLS estimation ofsingle-index models [J]. Journal of Econometrics,1993,58,71-120.
    [107]Ippolito, R.A.. Labor Market Reform in China [D]. Cambridge University Press,1987.
    [108]Jacobsen, J.P.. Spillover Effects from Government Employment [J]. Economics Letters,1992(39):101-104.
    [109]Jaume Garcia&Pedro J. Hernández&ángel López Nicolás. How Wide Is the Gap? AnInvestigation of Gender Wage Differences Using Quintile Regression [W]. EconomicsWorking Papers287, Department of Economics and Business, Universidad Pompeii Fabre,1998.
    [110]Johnson Emily N. and Gregory Chow. Rate of Return to Schooling in China [J]. PacificEconomic Review,1997(2):101-113.
    [111]Kesler, C. and Hout M.: Entrepreneurship and Immigrant Wages in US Labor Markets: AMulti-level Approach [J], Social Science Research,2010,39(2):187-201.
    [112]Khana S. Powellb J. Two-step estimation of semi parametric censored regression models [J].Journal of Econometrics2001,(103):73-110.
    [113]Kim M, Polachek S. Panel Estimates of Male-Female Earnings Functions [J]. Journal ofHuman Resources,1994,29:406-428.
    [114]Krueger A, summers, L. Efficiency Wages and the Inter-Industry Wage Structure [J].Econometrical,1988,56(2):259-293.
    [115]Krueger, Alan B.&Lawrence H. Summers. Efficiency Wages and the Inter-industry WageStructure [J]. Econometrical,1988,56(2):259-293.
    [116]Krueger, Rosen. Types of Income and Inequality in China at the End of1980s[C]//.Industrial Relations, Koshers M. Workers and Their Wages1997:697-726.
    [117]Leping K. Public-Private Sector Wage Differential in Estonia: Evidence From QuintileRegression [D].Tartu University Press,2005.
    [118]Liu, Z. Rules versus Bargaining: Pay Determination in the Italian Public Sector [M].Working paper.1996.
    [119]Lundberg, J. Shelly and Richard Starts. Primary Discrimination and Social Intervention inCompetitive Labor markets [J]. American Economic Review,1983,Vo1.73,No.3:340347.
    [120]Machado J. Counterfactual Decomposition of Changes in Wage Distributions UsingQuintile Regression [J]. Journal of Applied Economics,2005(20):445-465.
    [121]Machado, J. and J. Mata. Using Quintile Regression [J]. Journal of Applied Economics.2005(20):445-465.
    [122]Melly B. Public-Private Sector Wage Differentials in Germany: Evidence from QuintileRegression [J]. Empirical Economics,2005,30:505-520.
    [123]Meng, X., Kidd, M. P. Racial Discrimination in Economic Life [M]. Lexington: DCHeath,1972.
    [124]Meng, Xin. An Empirical Quintile Function Markets [C]. Princeton University Press,1973:3-33.
    [125]Meng, Xin. Why Urban Wages Differ in China [M]. London: England Macmillan,1993.
    [126]Michael M. Lokshin, Branko Jovanovic. Wage Linkages been Private and Public Sectors inSweden [J]. Labor,1992(6):3-17.
    [127]Mincer, J., Schooling, Experience and Earning [M], Columbia University Press,1974.
    [128]Mueller R. Public-Private Sector Wage Differentials in Canada: Evidence from QuintileRegressions [J]. Economics Letters,1998(60):229-235.
    [129]Mueller R. Public-private sector wage differentials in Canada: Evidence from quintileregressions [J]. Economics Letters,1998,60:229-235.
    [130]Neal D, Johnson W. The Role of Pre-market Factors in Black-White Wage Differences [J].Journal of Political Economy,1996,104:869-895.
    [131]Oaxaca R. Male-female wage differentials in urban labor markets [J]. InternationalEconomic Review,1973,14(3):693-709.
    [132]Pham T. Reilly B. The gender pay gap in Vietnam,1993–2002: A quintile regressionapproach [J]. Journal of Asian Economics2007,(18):775-808.
    [133]Phelps. The Statistical Theory of Racism and Sexism [J]. American Economic Review,1972(09):659-661.
    [134]Plasman, R., Rusinek, M. and Rycx, F.: Union Wage Gaps in Multilevel IndustrialRelations Systems [J], The88th International Conference-Applied EconometricsAssociation-Mons (B),2004.
    [135]Poterba J., Rueben K. The distribution of public sector wage premier: New evidence usingquintile regression methods [W]. NBER, No.4734,1994.
    [136]Powell, J. Least absolute deviation estimation for the censored regression model [J],Journal of Econometrics,1984,(25):303-325.
    [137]Powell, J., Censored regression quintiles [J], Journal of Econometrics,1986,(32):143-155.
    [138]Psacharopoulos, George, Pierce. Partial observability in bivariate profit models Returns toInvestment in Education: a Global Update [J]. World Development,1994(22):1325-1343.
    [139]Reamers, C.J.. Sample Selection Bias as a Specification Error [J]. Econometrical,1979(47):153-162.
    [140]Roger Koenker and Gilbert Bassett. Regression Quintiles [J]. Econometrical,1978, Vol.46, pp33-50.
    [141]Rutkowskz, Jan. Wage Determination in Late Socialism: The Case of Poland [J].Economics of Planning,1994(2):135-164.
    [142]Schultz, T. W. Investment in Human Capital [J]. American Economic Review,1961, March:1-17.
    [143]Simon Appleton, Lina Song, Qingjie Xia. Has China Crossed the River? The Evolution ofWage Structure in Urban China during Reform and Retrenchment [J]. Journal ofComparative Economics.2005(33):644-663.
    [144]Smith, Sharon P. Government Wage Differentials [J]. Journal of urban Economics,1977(4):248-271.
    [145]Utgoff, K.C.. Compensation Levels and Quit Rates in the Public Sector [J]. Journal ofHuman Resources,1983,18:394-406.
    [146]Vend, S.F.. Wages in the Federal and Private Sectors [J]. Review of Economics andStatistics,1983,65:570-579.
    [147]Waltz. American Economist, Human Capital [M]. New York,1979.
    [148]Weitzman, Long, J.E. Share economic [J]. Resources,1984(14):123-131.
    [149]Weitzman, M. Earnings and Education in China's Transition to a Market Economy: SurveyEvidence from1989and1992. Economic Review [J].1999,10(1):17-40.
    [150]Zellner, H. Discrimination against Women, Occupational Segregation, and the RelativeWage [J]. American Economic Review,1972,62:157-160.
    [151]Zhao Y. Earnings differentials between state and non-state enterprises in urban China [J].Pacific Economic Review,2002,7:181-197.

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