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Details about Federico Andres Bugni

Homepage:http://fds.duke.edu/db/aas/Economics/faculty/fb32
Workplace:Department of Economics, Duke University, (more information at EDIRC)

Access statistics for papers by Federico Andres Bugni.

Last updated 2017-08-26. Update your information in the RePEc Author Service.

Short-id: pbu197


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Working Papers

2017

  1. Identification and inference on regressions with missing covariate data
    LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library Downloads
    See also Journal Article in Econometric Theory (2017)
  2. Permutation tests for equality of distributions of functional data
    CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies Downloads

2016

  1. Inference in partially identified models with many moment inequalities using Lasso
    CREATES Research Papers, Department of Economics and Business Economics, Aarhus University Downloads
  2. Inference under Covariate-Adaptive Randomization
    CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies Downloads
    Also in CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies (2015) Downloads View citations (4)

2015

  1. Inference for functions of partially identified parameters in moment inequality models
    CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies Downloads View citations (1)
    Also in CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies (2014) Downloads View citations (14)
    CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies (2014) Downloads View citations (6)

2014

  1. Specification tests for partially identified models defined by moment inequalities
    CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies Downloads View citations (2)
    Also in CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies (2013) Downloads View citations (3)

    See also Journal Article in Journal of Econometrics (2015)

2012

  1. Approximating High-Dimensional Dynamic Models: Sieve Value Function Iteration
    NBER Working Papers, National Bureau of Economic Research, Inc Downloads View citations (1)
    Also in Working Papers, Duke University, Department of Economics (2012) Downloads
    Working Paper, Federal Reserve Bank of Cleveland (2012) Downloads

2010

  1. Specification Test for Missing Functional Data
    Working Papers, Duke University, Department of Economics Downloads
    See also Journal Article in Econometric Theory (2012)

Journal Articles

2017

  1. IDENTIFICATION AND INFERENCE ON REGRESSIONS WITH MISSING COVARIATE DATA
    Econometric Theory, 2017, 33, (01), 196-241 Downloads
    See also Working Paper (2017)

2016

  1. COMPARISON OF INFERENTIAL METHODS IN PARTIALLY IDENTIFIED MODELS IN TERMS OF ERROR IN COVERAGE PROBABILITY
    Econometric Theory, 2016, 32, (01), 187-242 Downloads

2015

  1. Specification tests for partially identified models defined by moment inequalities
    Journal of Econometrics, 2015, 185, (1), 259-282 Downloads View citations (2)
    See also Working Paper (2014)

2012

  1. Child labor legislation: effective, benign, both, or neither?
    Cliometrica, Journal of Historical Economics and Econometric History, 2012, 6, (3), 223-248 Downloads View citations (2)
  2. Distortions of Asymptotic Confidence Size in Locally Misspecified Moment Inequality Models
    Econometrica, 2012, 80, (4), 1741-1768 Downloads View citations (8)
  3. SPECIFICATION TEST FOR MISSING FUNCTIONAL DATA
    Econometric Theory, 2012, 28, (05), 959-1002 Downloads
    See also Working Paper (2010)

2010

  1. Bootstrap Inference in Partially Identified Models Defined by Moment Inequalities: Coverage of the Identified Set
    Econometrica, 2010, 78, (2), 735-753 Downloads View citations (74)

2009

  1. Goodness-of-fit tests for functional data
    Econometrics Journal, 2009, 12, (s1), S1-S18 Downloads
 
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