本文選題：Rubin因果模型 + 工具變量��； 參考：《遼寧大學(xué)》2017年碩士論文

【摘要】：教育和就業(yè)之間的問(wèn)題,一直以來(lái)都是廣大學(xué)者的研究熱點(diǎn)。而教育投資回報(bào)率,因其不但是勞動(dòng)經(jīng)濟(jì)學(xué)的核心內(nèi)容,還能較好地反映教育對(duì)個(gè)人收入的因果效應(yīng),使得研究者對(duì)教育投資回報(bào)率的研究興趣長(zhǎng)盛不衰。在我國(guó),一方面,隨著各大高等院校的不斷擴(kuò)招,大學(xué)生人數(shù)比例日益增加,導(dǎo)致其畢業(yè)后就業(yè)形勢(shì)嚴(yán)峻。另一方面,以培養(yǎng)專(zhuān)業(yè)技能型人才為辦學(xué)目的的職業(yè)技術(shù)類(lèi)院校社會(huì)認(rèn)可度較低,招生困難,用人單位內(nèi)部對(duì)應(yīng)崗位存在巨大缺口。針對(duì)這一現(xiàn)狀,本文以中國(guó)綜合社會(huì)調(diào)查(CGSS)數(shù)據(jù)為依據(jù),分析了技校類(lèi)畢業(yè)生和大學(xué)類(lèi)畢業(yè)生的個(gè)人職業(yè)收入差異情況。在模型構(gòu)建上,以Rubin因果模型為基礎(chǔ),為克服解釋變量?jī)?nèi)生性將工具變量法嵌入其中。根據(jù)研究個(gè)體所接受的教育水平不同將其分為處理組和控制組,其中處理組成員為技校類(lèi)畢業(yè)生,包括技校和中專(zhuān);控制組成員為大學(xué)類(lèi)畢業(yè)生,包括大學(xué)專(zhuān)科和大學(xué)本科。接著,利用Stata統(tǒng)計(jì)分析軟件得到2SLS方法下工具變量估計(jì)量的輸出結(jié)果,即處理效應(yīng)。在估計(jì)時(shí),排除了可能出現(xiàn)自相關(guān)、異方差及弱工具變量的情況。然后,將通過(guò)估計(jì)得到的2012年和2013年技校類(lèi)畢業(yè)生與大學(xué)類(lèi)畢業(yè)生個(gè)人職業(yè)收入水平差異進(jìn)行對(duì)比,發(fā)現(xiàn)2012年技校類(lèi)畢業(yè)生個(gè)人職業(yè)收入水平比大學(xué)類(lèi)畢業(yè)生平均低26.4%,2013年技校類(lèi)畢業(yè)生比大學(xué)類(lèi)畢業(yè)生平均低17.7%,二者間的收入差距呈明顯縮小趨勢(shì)。最后就研究結(jié)果所得到的結(jié)論,分析產(chǎn)生這種現(xiàn)象的原因,并就幾個(gè)方面提出對(duì)策建議。
[Abstract]:The problem between education and employment has always been a hot topic for scholars. The return on investment in education is not only the core content of labor economics, but also reflects the causal effect of education on personal income. In our country, on the one hand, with the increasing enrollment of universities and colleges, the proportion of college students is increasing day by day, which leads to the severe employment situation after graduation. On the other hand, the vocational and technical colleges with the aim of cultivating professional and technical talents are low in social recognition, difficult in recruiting students, and there is a huge gap in the corresponding positions within the employing units. In view of this situation, based on the data of China Comprehensive Social Survey (CGSS), this paper analyzes the difference of personal occupational income between technical school graduates and university graduates. On the basis of Rubin causality model, tool variable method is embedded to overcome the endogenicity of explanatory variables. According to the educational level of the individual, they are divided into treatment group and control group, in which the members of the treatment group are technical school graduates, including technical school and technical secondary school, and the control group members are university graduates, including college students and university graduates. Then, using Stata statistical analysis software, the output of tool variable estimator under 2SLS method is obtained, that is, processing effect. In the estimation, the autocorrelation, heteroscedasticity and weak tool variables are excluded. Then, the differences in the level of personal occupational income of the 2012 and 2013 technical school graduates and those of the university graduates, which were estimated, were compared. It was found that the average income level of technical school graduates in 2012 was 26.4 lower than that of college graduates, and the average income level of technical school graduates in 2013 was 17.7 lower than that of college graduates. Finally, based on the conclusions of the research, the causes of this phenomenon are analyzed, and some countermeasures are put forward.
【學(xué)位授予單位】：遼寧大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：F124.7

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 張巍巍;李雪松;;中國(guó)高等教育異質(zhì)性回報(bào)的變化:1992～2009——基于MTE方法的實(shí)證研究[J];首都經(jīng)濟(jì)貿(mào)易大學(xué)學(xué)報(bào);2014年03期

2 吳要武;;尋找阿基米德的“杠桿”——“出生季度”是個(gè)弱工具變量嗎?[J];經(jīng)濟(jì)學(xué)(季刊);2010年02期

，

本文編號(hào)：2011560