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Lina Lu

Personal Details

First Name:Lina
Middle Name:
Last Name:Lu
Suffix:
RePEc Short-ID:plu263
[This author has chosen not to make the email address public]
http://www.columbia.edu/~ll2582/

Affiliation

Department of Economics
School of Arts and Sciences
Columbia University

New York City, New York (United States)
http://www.columbia.edu/cu/economics/

: (212) 854-3680
(212) 854-8059
1022 International Affairs Building, 420 West 118th Street, New York, NY 10027
RePEc:edi:declbus (more details at EDIRC)

Research output

as
Jump to: Working papers

Working papers

  1. Li, Kunpeng & Li, Qi & Lu, Lina, 2016. "Quasi Maximum Likelihood Analysis of High Dimensional Constrained Factor Models," MPRA Paper 75676, University Library of Munich, Germany.
  2. Bai, Jushan & Li, Kunpeng & Lu, Lina, 2014. "Estimation and inference of FAVAR models," MPRA Paper 60960, University Library of Munich, Germany.
  3. Li, Kunpeng & Lu, Lina, 2014. "Efficient estimation of heterogeneous coefficients in panel data models with common shock," MPRA Paper 59312, University Library of Munich, Germany.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Bai, Jushan & Li, Kunpeng & Lu, Lina, 2014. "Estimation and inference of FAVAR models," MPRA Paper 60960, University Library of Munich, Germany.

    Cited by:

    1. Ruiz Ortega, Esther & Vicente Maldonado, Javier de, 2017. "Accurate Subsampling Intervals of Principal Components Factors," DES - Working Papers. Statistics and Econometrics. WS 23974, Universidad Carlos III de Madrid. Departamento de Estadística.
    2. Smeekes, Stephan & Wijler, Etiënne, 2016. "Macroeconomic Forecasting Using Penalized Regression Methods," Research Memorandum 039, Maastricht University, Graduate School of Business and Economics (GSBE).

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (3) 2014-11-22 2015-01-19 2017-01-08. Author is listed
  2. NEP-ETS: Econometric Time Series (1) 2015-01-19. Author is listed
  3. NEP-ORE: Operations Research (1) 2017-01-08. Author is listed

Corrections

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