{"title":"Higher education in Iran: An investigation of its expansion during 2005–2015 period using a control function approach","authors":"Hamed Mirzaei Abbasabadi, M. G. Asl","doi":"10.3233/jem-200470","DOIUrl":null,"url":null,"abstract":"This article aims at investigating the significant higher education expansion in the Islamic Republic of Iran during 2005–2015 period through employing the production function of higher education. Avoiding simultaneity and selection problems in the presence of shocks, we have used a novel method from industrial organization discipline introduced by Rovigatti and Mollisi [1] – which is officially offered embeded in a Stata® module – by providing different production function estimators (Olley-Pakes, Levinsohn-Petrin, and Wooldridge) using provincial data on Iran. Our empirical results reveal that physical capital is the most critical determinant of higher education graduates. The results also uncover some important facts about the contribution of academic staff to the process of graduation. Compared to other conventional estimation methods, we also provide evidence on the superiority of this innovative method, which is far beyond its original context.","PeriodicalId":53705,"journal":{"name":"Journal of Economic and Social Measurement","volume":"33 1","pages":"1-64"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Economic and Social Measurement","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/jem-200470","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0
Abstract
This article aims at investigating the significant higher education expansion in the Islamic Republic of Iran during 2005–2015 period through employing the production function of higher education. Avoiding simultaneity and selection problems in the presence of shocks, we have used a novel method from industrial organization discipline introduced by Rovigatti and Mollisi [1] – which is officially offered embeded in a Stata® module – by providing different production function estimators (Olley-Pakes, Levinsohn-Petrin, and Wooldridge) using provincial data on Iran. Our empirical results reveal that physical capital is the most critical determinant of higher education graduates. The results also uncover some important facts about the contribution of academic staff to the process of graduation. Compared to other conventional estimation methods, we also provide evidence on the superiority of this innovative method, which is far beyond its original context.
期刊介绍:
The Journal of Economic and Social Measurement (JESM) is a quarterly journal that is concerned with the investigation of all aspects of production, distribution and use of economic and other societal statistical data, and with the use of computers in that context. JESM publishes articles that consider the statistical methodology of economic and social science measurements. It is concerned with the methods and problems of data distribution, including the design and implementation of data base systems and, more generally, computer software and hardware for distributing and accessing statistical data files. Its focus on computer software also includes the valuation of algorithms and their implementation, assessing the degree to which particular algorithms may yield more or less accurate computed results. It addresses the technical and even legal problems of the collection and use of data, legislation and administrative actions affecting government produced or distributed data files, and similar topics. The journal serves as a forum for the exchange of information and views between data producers and users. In addition, it considers the various uses to which statistical data may be put, particularly to the degree that these uses illustrate or affect the properties of the data. The data considered in JESM are usually economic or social, as mentioned, but this is not a requirement; the editorial policies of JESM do not place a priori restrictions upon the data that might be considered within individual articles. Furthermore, there are no limitations concerning the source of the data.