Jackknife Instrumental Variables Estimation*
* This paper has been replicatedAuthor
Suggested Citation
Download full text from publisher
Other versions of this item:
- Joshua D. Angrist & Guido W. Imbens & Alan Krueger, 1995. "Jackknife Instrumental Variables Estimation," NBER Technical Working Papers 0172, National Bureau of Economic Research, Inc.
References listed on IDEAS
- Altonji, Joseph G & Segal, Lewis M, 1996.
"Small-Sample Bias in GMM Estimation of Covariance Structures,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 353-366, July.
- Joseph Altonji & Lewis M. Segal, 1994. "Small sample bias in GMM estimation of covariance structures," Working Paper Series, Macroeconomic Issues 94-8, Federal Reserve Bank of Chicago.
- Joseph G. Altonji & Lewis M. Segal, 1994. "Small Sample Bias in GMM Estimation of Covariance Structures," NBER Technical Working Papers 0156, National Bureau of Economic Research, Inc.
- Anderson, T W & Kunitomo, Naoto & Sawa, Takamitsu, 1982. "Evaluation of the Distribution Function of the Limited Information Maximum Likelihood Estimator," Econometrica, Econometric Society, vol. 50(4), pages 1009-1027, July.
- Blomquist, Soren & Dahlberg, Matz, 1999. "Small Sample Properties of LIML and Jackknife IV Estimators: Experiments with Weak Instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 69-88, Jan.-Feb..
- Angrist, Joshua D, 1990.
"Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records,"
American Economic Review, American Economic Association, vol. 80(3), pages 313-336, June.
- Joshua D. Angrist, 1989. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records," Working Papers 631, Princeton University, Department of Economics, Industrial Relations Section..
- Angrist, Joshua D & Krueger, Alan B, 1995. "Split-Sample Instrumental Variables Estimates of the Return to Schooling," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 225-235, April.
- Bekker, Paul A, 1994. "Alternative Approximations to the Distributions of Instrumental Variable Estimators," Econometrica, Econometric Society, vol. 62(3), pages 657-681, May.
- Nelson, Charles R & Startz, Richard, 1990.
"The Distribution of the Instrumental Variables Estimator and Its t-Ratio When the Instrument Is a Poor One,"
The Journal of Business, University of Chicago Press, vol. 63(1), pages 125-140, January.
- Nelson, C. & Startz, R., 1988. "The Distribution Of The Instrumental Variables Estimator And Its T-Ratio When The Instrument Is A Poor One," Working Papers 88-07, University of Washington, Department of Economics.
- Nelson, C. & Startz, R., 1988. "The Distribution Of The Instrumental Variables Estimator And Its T-Ratio When The Instrument Is A Poor One," Discussion Papers in Economics at the University of Washington 88-07, Department of Economics at the University of Washington.
- Charles R. Nelson & Richard Startz, 1988. "The Distribution of the Instrumental Variables Estimator and Its t-RatioWhen the Instrument is a Poor One," NBER Technical Working Papers 0069, National Bureau of Economic Research, Inc.
- Gary Chamberlain & Guido W. Imbens, 1996.
"Hierarchical Bayes Models with Many Instrumental Variables,"
Harvard Institute of Economic Research Working Papers
1781, Harvard - Institute of Economic Research.
- Gary Chamberlain & Guido W. Imbens, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," NBER Technical Working Papers 0204, National Bureau of Economic Research, Inc.
- Chamberlain, Gary & Imbens, Guido, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," Scholarly Articles 3221489, Harvard University Department of Economics.
- Douglas Staiger & James H. Stock, 1997.
"Instrumental Variables Regression with Weak Instruments,"
Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
- Douglas Staiger & James H. Stock, 1994. "Instrumental Variables Regression with Weak Instruments," NBER Technical Working Papers 0151, National Bureau of Economic Research, Inc.
- Angrist, J D & Imbens, G W & Krueger, A B, 1999.
"Jackknife Instrumental Variables Estimation,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 57-67, Jan.-Feb..
- Joshua D. Angrist & Guido W. Imbens & Alan Krueger, 1995. "Jackknife Instrumental Variables Estimation," NBER Technical Working Papers 0172, National Bureau of Economic Research, Inc.
- Joshua D. Angrist & Alan B. Krueger, 1993.
"Split Sample Instrumental Variables,"
Working Papers
699, Princeton University, Department of Economics, Industrial Relations Section..
- Joshua D. Angrist & Alan B. Krueger, 1995. "Split Sample Instrumental Variables," NBER Technical Working Papers 0150, National Bureau of Economic Research, Inc.
- Maddala, G S & Jeong, Jinook, 1992. "On the Exact Small Sample Distribution of the Instrumental Variable Estimator," Econometrica, Econometric Society, vol. 60(1), pages 181-183, January.
- Buse, A, 1992. "The Bias of Instrumental Variable Estimators," Econometrica, Econometric Society, vol. 60(1), pages 173-180, January.
- Joshua D. Angrist & Alan B. Krueger, 1990.
"The Effect of Age at School Entry on Educational Attainment: An Application of Instrumental Variables with Moments from Two Samples,"
NBER Working Papers
3571, National Bureau of Economic Research, Inc.
- Joshua D. Angrist & Alan B. Krueger, 1990. "The Effect of Age at School Entry on Educational Attainment: An Application of Instrumental Variables with Moments from Two Samples," Working Papers 654, Princeton University, Department of Economics, Industrial Relations Section..
- Angrist, Joshua D, 1990. "Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records: Errata," American Economic Review, American Economic Association, vol. 80(5), pages 1284-1286, December.
- Joshua D. Angrist & Alan B. Keueger, 1991.
"Does Compulsory School Attendance Affect Schooling and Earnings?,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 979-1014.
- Joshua D. Angrist & Alan B. Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," Working Papers 653, Princeton University, Department of Economics, Industrial Relations Section..
- Joshua D. Angrist & Alan B. Krueger, 1990. "Does Compulsory School Attendance Affect Schooling and Earnings?," NBER Working Papers 3572, National Bureau of Economic Research, Inc.
- Phillips, P.C.B., 1983.
"Exact small sample theory in the simultaneous equations model,"
Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 8, pages 449-516,
Elsevier.
- Peter C.B. Phillips, 1982. "Exact Small Sample Theory in the Simultaneous Equations Model," Cowles Foundation Discussion Papers 621, Cowles Foundation for Research in Economics, Yale University.
- Stoker, Thomas M., 1996. "Smoothing bias in the measurement of marginal effects," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 49-84.
- Sawa, Takamitsu, 1973. "Almost Unbiased Estimator in Simultaneous Equations Systems," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(1), pages 97-106, February.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Paul A. Bekker & Jan van der Ploeg, 2000. "Instrumental Variable Estimation Based on Grouped Data," Econometric Society World Congress 2000 Contributed Papers 1862, Econometric Society.
- Joshua D. Angrist & Alan B. Krueger, 2001.
"Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments,"
Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 69-85, Fall.
- Joshua Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," NBER Working Papers 8456, National Bureau of Economic Research, Inc.
- Joshua D. Angrist & Alan B. Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
- Joshua Angrist & Alan Krueger, 2001. "Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments," Working Papers 834, Princeton University, Department of Economics, Industrial Relations Section..
- Blomquist, Soren & Dahlberg, Matz, 1999. "Small Sample Properties of LIML and Jackknife IV Estimators: Experiments with Weak Instruments," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(1), pages 69-88, Jan.-Feb..
- Alonso-Borrego, Cesar & Arellano, Manuel, 1999.
"Symmetrically Normalized Instrumental-Variable Estimation Using Panel Data,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 36-49, January.
- César Alonso-Borrego & Manuel Arellano, 1996. "Symmetrically Normalized Instrumental-Variable Estimation Using Panel Data," Working Papers wp1996_9612, CEMFI.
- Arrellano, Manuel, 1996. "Symmetrically normalized instrumental-variable estimation using panel data," UC3M Working papers. Economics 4098, Universidad Carlos III de Madrid. Departamento de EconomÃa.
- Bekker, Paul A. & Ploeg, Jan van der, 2000. "Instrumental variable estimation based on grouped data," CCSO Working Papers 200009, University of Groningen, CCSO Centre for Economic Research.
- Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
- Gary Chamberlain & Guido W. Imbens, 1996.
"Hierarchical Bayes Models with Many Instrumental Variables,"
Harvard Institute of Economic Research Working Papers
1781, Harvard - Institute of Economic Research.
- Gary Chamberlain & Guido W. Imbens, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," NBER Technical Working Papers 0204, National Bureau of Economic Research, Inc.
- Chamberlain, Gary & Imbens, Guido, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," Scholarly Articles 3221489, Harvard University Department of Economics.
- Daniel A. Ackerberg & Paul J. Devereux, 2009.
"Improved JIVE Estimators for Overidentified Linear Models with and without Heteroskedasticity,"
The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 351-362, May.
- Daniel A. Ackerberg & Paul J. Devereux, 2008. "Improved Jive Estimators for Overidentified Linear Models with and without Heteroskedasticity," Working Papers 200817, School of Economics, University College Dublin.
- Ackerberg, Daniel & Devereux, Paul J., 2008. "Improved JIVE Estimators for Overidentified Linear Models with and without Heteroskedasticity," CEPR Discussion Papers 6926, C.E.P.R. Discussion Papers.
- repec:dgr:rugccs:200009 is not listed on IDEAS
- DUFOUR, Jean-Marie & JASIAK, Joanna, 1998.
"Finite-Sample Inference Methods for Simultaneous Equations and Models with Unobserved and Generated Regressors,"
Cahiers de recherche
9812, Universite de Montreal, Departement de sciences economiques.
- Jean-Marie Dufour & Joanna Jasiak, 2000. "Finite Sample Inference Methods for Simultaneous Equations and Models with Unobserved and Generated Regressors," Econometric Society World Congress 2000 Contributed Papers 1536, Econometric Society.
- Jean-Marie Dufour & Joann Jasiak, 2000. "Finite Sample Inference Methods for Simultaneous Equations and Models with Unobserved and Generated Regressors," CIRANO Working Papers 2000s-13, CIRANO.
- Isaiah Andrews & Timothy B. Armstrong, 2017.
"Unbiased instrumental variables estimation under known first‐stage sign,"
Quantitative Economics, Econometric Society, vol. 8(2), pages 479-503, July.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R5, Cowles Foundation for Research in Economics, Yale University, revised Nov 2016.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R3, Cowles Foundation for Research in Economics, Yale University, revised Oct 2015.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R2, Cowles Foundation for Research in Economics, Yale University, revised Sep 2015.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R4, Cowles Foundation for Research in Economics, Yale University, revised Apr 2016.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
- Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984, Cowles Foundation for Research in Economics, Yale University.
- Markus Frölich & Michael Lechner, 2004.
"Regional treatment intensity as an instrument for the evaluation of labour market policies,"
University of St. Gallen Department of Economics working paper series 2004
2004-08, Department of Economics, University of St. Gallen.
- Frölich, Markus & Lechner, Michael, 2004. "Regional Treatment Intensity as an Instrument for the Evaluation of Labour Market Policies," IZA Discussion Papers 1095, Institute of Labor Economics (IZA).
- Lechner, Michael & Fröhlich, Markus, 2004. "Regional Treatment Intensity as an Instrument for the Evaluation of Labour Market Policies," CEPR Discussion Papers 4304, C.E.P.R. Discussion Papers.
- John C. Chao & Norman R. Swanson, 2005.
"Consistent Estimation with a Large Number of Weak Instruments,"
Econometrica, Econometric Society, vol. 73(5), pages 1673-1692, September.
- Chao, John Chao & Norman R. Swanson, 2003. "Consistent Estimation with a Large Number of Weak Instruments," Cowles Foundation Discussion Papers 1417, Cowles Foundation for Research in Economics, Yale University.
- John Chao & Norman Swanson, 2004. "Consistent Estimation with a Large Number of Weak Instruments," Departmental Working Papers 200421, Rutgers University, Department of Economics.
- John C. Chao & Norman Rasmus Swanson, 2004. "Consistent Estimation with a Large Number of Weak Instruments," Yale School of Management Working Papers ysm374, Yale School of Management.
- Chao, John & Swanson, Norman R., 2007.
"Alternative approximations of the bias and MSE of the IV estimator under weak identification with an application to bias correction,"
Journal of Econometrics, Elsevier, vol. 137(2), pages 515-555, April.
- John Chao & Norman R. Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator under Weak Identification with an Application to Bias Correction," Cowles Foundation Discussion Papers 1418, Cowles Foundation for Research in Economics, Yale University.
- John Chao & Norman Swanson, 2003. "Alternative Approximations of the Bias and MSE of the IV Estimator Under Weak Identification With an Application to Bias Correction," Departmental Working Papers 200315, Rutgers University, Department of Economics.
- John C. Chao & Norman Rasmus Swanson, 2004. "Alternative Approximations of the Bias and MSE of the IV Estimator Under Weak Identification with an Application to Bias Correction," Yale School of Management Working Papers ysm375, Yale School of Management.
- Gao, Chuanming & Lahiri, Kajal, 2000. "Further consequences of viewing LIML as an iterated Aitken estimator," Journal of Econometrics, Elsevier, vol. 98(2), pages 187-202, October.
- Devereux, Paul J., 2007.
"Improved Errors-in-Variables Estimators for Grouped Data,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 278-287, July.
- Paul J Devereux, 2006. "Improved Errors-in-Variables Estimators for Grouped Data," Working Papers 200602, School of Economics, University College Dublin.
- Devereux, Paul J., 2007. "Improved Errors-in-Variables Estimators for Grouped Data," CEPR Discussion Papers 6167, C.E.P.R. Discussion Papers.
- Jean-Marie Dufour & Mohamed Taamouti, 2005.
"Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments,"
Econometrica, Econometric Society, vol. 73(4), pages 1351-1365, July.
- Jean-Marie Dufour & Mohamed Taamouti, 2003. "Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments," CIRANO Working Papers 2003s-39, CIRANO.
- DUFOUR, Jean-Marie & TAAMOUTI, Mohamed, 2003. "Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments," Cahiers de recherche 2003-10, Universite de Montreal, Departement de sciences economiques.
- DUFOUR, Jean-Marie & TAAMOUTI, Mohamed, 2003. "Projection-Based Statistical Inference in Linear Structural Models with Possibly Weak Instruments," Cahiers de recherche 08-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Ploeg, Jan van der & Bekker, Paul A., 1995. "Efficiency bounds for instrumental variable estimators under group-asymptotics," Research Report 95B24, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
- Jean‐Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 36(4), pages 767-808, November.
- Dufour, Jean-Marie & Taamouti, Mohamed, 2007. "Further results on projection-based inference in IV regressions with weak, collinear or missing instruments," Journal of Econometrics, Elsevier, vol. 139(1), pages 133-153, July.
Replication
This item has been replicated by:More about this item
JEL classification:
- C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Lists
This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:- Jackknife Instrumental Variables Estimation (Journal of Applied Econometrics 1999) in ReplicationWiki
- Jackknife instrumental variables estimation (Journal of Applied Econometrics 1999) in ReplicationWiki
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jae:japmet:v:14:y:1999:i:1:p:57-67. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley-Blackwell Digital Licensing or Christopher F. Baum (email available below). General contact details of provider: http://www.interscience.wiley.com/jpages/0883-7252/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.