Economics in the age of big data

被引:292
作者
Einav, Liran [1 ,2 ]
Levin, Jonathan [1 ,2 ]
机构
[1] Stanford Univ, Dept Econ, Stanford, CA 94305 USA
[2] NBER, Cambridge, MA 02138 USA
关键词
TEACHERS; BEHAVIOR; IMPACTS;
D O I
10.1126/science.1243089
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The quality and quantity of data on economic activity are expanding rapidly. Empirical research increasingly relies on newly available large-scale administrative data or private sector data that often is obtained through collaboration with private firms. Here we highlight some challenges in accessing and using these new data. We also discuss how new data sets may change the statistical methods used by economists and the types of questions posed in empirical research.
引用
收藏
页码:715 / +
页数:7
相关论文
共 42 条
  • [1] High wage workers and high wage firms
    Abowd, JM
    Kramarz, F
    Margolis, DN
    [J]. ECONOMETRICA, 1999, 67 (02) : 251 - 333
  • [2] AKERMAN A, 2013, 7762 IZA
  • [3] Albergotti R, 2014, WALL STREET J
  • [4] [Anonymous], 2011, Mining of Massive Datasets
  • [5] [Anonymous], 20010 NBER
  • [6] Baker S.R., 2013, 1302 CHIC BOOTH
  • [7] Sparse Models and Methods for Optimal Instruments With an Application to Eminent Domain
    Belloni, A.
    Chen, D.
    Chernozhukov, V.
    Hansen, C.
    [J]. ECONOMETRICA, 2012, 80 (06) : 2369 - 2429
  • [8] BELLONI A, 2012, CEMMAP WORKING PAPER
  • [9] BLAKE T, 20171 NBER
  • [10] CARD D, 2010, 112 NSF SBE ID