Ronald J. Schoenberg

Personal Details

First Name:	Ronald
Middle Name:	J.
Last Name:	Schoenberg
Suffix:
RePEc Short-ID:	psc142
	https://faculty.washington.edu/rons

Affiliation

University of Washington

http://www.washington.edu
USA, Seattle/Washington

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. Mittelhammer, Ron C & Judge, George G. & Schoenberg, Ron, 2003. "Empirical Evidence Concerning the Finite Sample Performance of EL-Type Structural Equation Estimation and Inference Methods," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2xm0n02g, Department of Agricultural & Resource Economics, UC Berkeley.
   • Mittelhammer, Ronald C. & Judge, George G. & Schoenberg, Ron, 2003. "Empirical Evidence Concerning the Finite Sample Performance of EL-Type Structural Equation Estimation and Inference Methods," CUDARE Working Papers 25090, University of California, Berkeley, Department of Agricultural and Resource Economics.

   Cited by:

   1. Lauren Bin Dong & David E. A. Giles, 2004. "An Empirical Likelihood Ratio Test for Normality," Econometrics Working Papers 0401, Department of Economics, University of Victoria.
   2. Miller, Douglas J. & Mittelhammer, Ronald C. & Judge, George G., 2004. "Entropy-Based Estimation And Inference In Binary Response Models Under Endogeneity," 2004 Annual meeting, August 1-4, Denver, CO 20319, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
   3. Patrik Guggenberger, 2005. "Monte-carlo evidence suggesting a no moment problem of the continuous updating estimator," Economics Bulletin, AccessEcon, vol. 3(13), pages 1-6.
   4. Naoto Kunitomo & Yukitoshi Matsushita, 2009. "Asymptotic Expansions and Higher Order Properties of Semi-Parametric Estimators in a System of Simultaneous Equations," CIRJE F-Series CIRJE-F-611, CIRJE, Faculty of Economics, University of Tokyo.
      • Kunitomo, Naoto & Matsushita, Yukitoshi, 2009. "Asymptotic expansions and higher order properties of semi-parametric estimators in a system of simultaneous equations," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1727-1751, September.
   5. Lauren Bin Dong, 2004. "The Behrens-Fisher Problem: An Empirical Likelihood Ratio Approach," Econometrics Working Papers 0404, Department of Economics, University of Victoria.
   6. Grendar, Marian & Judge, George G., 2006. "Large Deviations Theory and Empirical Estimator Choice," CUDARE Working Papers 25084, University of California, Berkeley, Department of Agricultural and Resource Economics.
      • Grendar, Marian & Judge, George G., 2006. "Large Deviations Theory and Empirical Estimator Choice," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt20n3j23r, Department of Agricultural & Resource Economics, UC Berkeley.
      • Marian Grendar & George Judge, 2008. "Large-Deviations Theory and Empirical Estimator Choice," Econometric Reviews, Taylor & Francis Journals, vol. 27(4-6), pages 513-525.
   7. Judge, George G. & Mittelhammer, Ronald C., 2004. "Estimating the Link Function in Multinomial Response Models under Endogeneity and Quadratic Loss," CUDARE Working Papers 25095, University of California, Berkeley, Department of Agricultural and Resource Economics.
      • Judge, George G. & Mittelhammer, Ron C, 2004. "Estimating the Link Function in Multinomial Response Models under Endogeneity and Quadratic Loss," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4422n50w, Department of Agricultural & Resource Economics, UC Berkeley.
   8. Susanne M. Schennach, 2007. "Point estimation with exponentially tilted empirical likelihood," Papers 0708.1874, arXiv.org.
   9. T. W. Anderson & Naoto Kunitomo & Yukitoshi Matsushita, 2008. "On Finite Sample Properties of Alternative Estimators of Coefficients in a Structural Equation with Many Instruments," CIRJE F-Series CIRJE-F-577, CIRJE, Faculty of Economics, University of Tokyo.
   10. T. W. Anderson & Naoto Kunitomo & Yukitoshi Matsushita, 2006. "A New Light from Old Wisdoms : Alternative Estimation Methods of Simultaneous Equations with Possibly Many Instruments," CIRJE F-Series CIRJE-F-399, CIRJE, Faculty of Economics, University of Tokyo.
   11. Richard Smith, 2005. "Local GEL methods for conditional moment restrictions," CeMMAP working papers CWP15/05, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
   12. Patrik Guggenberger, 2006. "Finite-Sample Evidence Suggesting a Heavy Tail Problem of the Generalized Empirical Likelihood Estimator, accepted for publication, Econometric Reviews," UCLA Economics Online Papers 371, UCLA Department of Economics.
   13. Giuseppe Ragusa, 2011. "Minimum Divergence, Generalized Empirical Likelihoods, and Higher Order Expansions," Econometric Reviews, Taylor & Francis Journals, vol. 30(4), pages 406-456, August.
       • Giuseppe Ragusa, 2008. "Minimum Divergence, Generalized Empirical Likelihoods, and Higher Order Expansions," Working Papers 080906, University of California-Irvine, Department of Economics.
   14. Umut Oguzoglu & Thanasis Stengos, 2005. "Can Dynamic Panel Data Explain the Finance-Growth Link? An Empirical Likelihood Approach," Working Papers 0502, University of Guelph, Department of Economics and Finance.
       • Umut Oguzoglu & Thanasis Stengos, 2011. "Can Dynamic Panel Data Explain the Finance-Growth Link? An Empirical Likelihood Approach," Review of Economic Analysis, Digital Initiatives at the University of Waterloo Library, vol. 3(2), pages 129-148, October.

Articles

1. Schoenberg, Ronald, 1997. "Constrained Maximum Likelihood," Computational Economics, Springer;Society for Computational Economics, vol. 10(3), pages 251-266, August.

   Cited by:

   1. Guohua Feng & Apostolos Serletis, 2009. "Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity," Monash Econometrics and Business Statistics Working Papers 5/09, Monash University, Department of Econometrics and Business Statistics.
      • Feng, Guohua & Serletis, Apostolos, 2010. "Efficiency, technical change, and returns to scale in large US banks: Panel data evidence from an output distance function satisfying theoretical regularity," Journal of Banking & Finance, Elsevier, vol. 34(1), pages 127-138, January.
   2. Valéria Perim da Cunha & Glenda Michele Botelho & Ary Henrique Morais de Oliveira & Lorena Dias Monteiro & David Gabriel de Barros Franco & Rafael da Costa Silva, 2021. "Application of the ARIMA Model to Predict Under-Reporting of New Cases of Hansen’s Disease during the COVID-19 Pandemic in a Municipality of the Amazon Region," IJERPH, MDPI, vol. 19(1), pages 1-12, December.
   3. Robert F. Engle & Aaron D. Smith, 1999. "Stochastic Permanent Breaks," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 553-574, November.
      • Engle, Robert F & Smith, Aaron, 1998. "Stochastic Permanent Breaks," University of California at San Diego, Economics Working Paper Series qt99v0s0zx, Department of Economics, UC San Diego.
   4. Ortelli, Nicola & Hillel, Tim & Pereira, Francisco C. & de Lapparent, Matthieu & Bierlaire, Michel, 2021. "Assisted specification of discrete choice models," Journal of choice modelling, Elsevier, vol. 39(C).
   5. Tianshun Yan & Yanyong Zhao & Wentao Wang, 2020. "Likelihood-based estimation of a semiparametric time-dependent jump diffusion model of the short-term interest rate," Computational Statistics, Springer, vol. 35(2), pages 539-557, June.
   6. Ooms, M., 2008. "Trends in Applied Econometrics Software Development 1985-2008, an analysis of Journal of Applied Econometrics research articles, software reviews, data and code," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
   7. P. S. Sephton, 2000. "Financial analysis package for GAUSS," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(4), pages 433-438.
   8. Peter Andre, 2021. "Shallow Meritocracy: An Experiment on Fairness Views," ECONtribute Discussion Papers Series 115, University of Bonn and University of Cologne, Germany.
   9. Jolynn Pek & Hao Wu, 2015. "Profile Likelihood-Based Confidence Intervals and Regions for Structural Equation Models," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 1123-1145, December.
   10. George Economides & Jim Malley & Apostolis Philippopoulos & Ulrich Woitek, 2003. "Electoral Uncertainty, Fiscal Policies & Growth: Theory and Evidence from Germany, the UK and the US," CESifo Working Paper Series 1072, CESifo.
       • Apostolis Philippopoulos & George Economides & Jim Malley, 2004. "Electoral Uncertainty, Fiscal Policies & Growth: Theory And Evidence From Germany, The UK And The US," Royal Economic Society Annual Conference 2004 39, Royal Economic Society.
   11. Nurudeen A. Adegoke & Andrew Punnett & Marti J. Anderson, 2022. "Estimation of Multivariate Dependence Structures via Constrained Maximum Likelihood," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(2), pages 240-260, June.

2. Gerhard Arminger & Ronald Schoenberg, 1989. "Pseudo maximum likelihood estimation and a test for misspecification in mean and covariance structure models," Psychometrika, Springer;The Psychometric Society, vol. 54(3), pages 409-425, September.

   Cited by:

   1. Elena Geminiani & Giampiero Marra & Irini Moustaki, 2021. "Single- and Multiple-Group Penalized Factor Analysis: A Trust-Region Algorithm Approach with Integrated Automatic Multiple Tuning Parameter Selection," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 65-95, March.
   2. Ke-Hai Yuan & Peter M. Bentler & Wei Zhang, 2005. "The Effect of Skewness and Kurtosis on Mean and Covariance Structure Analysis," Sociological Methods & Research, , vol. 34(2), pages 240-258, November.
   3. J. Scott Long & Pravin K. Trivedi, 1992. "Some Specification Tests for the Linear Regression Model," Sociological Methods & Research, , vol. 21(2), pages 161-204, November.
   4. Po-Hsien Huang & Hung Chen & Li-Jen Weng, 2017. "A Penalized Likelihood Method for Structural Equation Modeling," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 329-354, June.
   5. Paul Dudgeon, 2017. "Some Improvements in Confidence Intervals for Standardized Regression Coefficients," Psychometrika, Springer;The Psychometric Society, vol. 82(4), pages 928-951, December.
   6. Kenneth A. Bollen & J. Scott Long, 1992. "Tests for Structural Equation Models," Sociological Methods & Research, , vol. 21(2), pages 123-131, November.
   7. Haruhiko Ogasawara, 2000. "Some relationships between factors and components," Psychometrika, Springer;The Psychometric Society, vol. 65(2), pages 167-185, June.
   8. B. N. Sánchez & E. A. Houseman & L. M. Ryan, 2009. "Residual-Based Diagnostics for Structural Equation Models," Biometrics, The International Biometric Society, vol. 65(1), pages 104-115, March.
   9. Hildebrandt, Lutz & Görz, Nicole, 1999. "Zum Stand der Kausalanalyse mit Strukturgleichungsmodellen: Methodische Trends und Software-Entwicklungen," SFB 373 Discussion Papers 1999,46, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
   10. Keke Lai, 2019. "Creating Misspecified Models in Moment Structure Analysis," Psychometrika, Springer;The Psychometric Society, vol. 84(3), pages 781-801, September.
   11. Piotr Tarka, 2018. "An overview of structural equation modeling: its beginnings, historical development, usefulness and controversies in the social sciences," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 313-354, January.
   12. Alexander Robitzsch, 2022. "Comparing the Robustness of the Structural after Measurement (SAM) Approach to Structural Equation Modeling (SEM) against Local Model Misspecifications with Alternative Estimation Approaches," Stats, MDPI, vol. 5(3), pages 1-42, July.
   13. Kalaitzandonakes, Nicholas G. & Dunn, Elizabeth G., 1995. "Technical Efficiency, Managerial Ability And Farmer Education In Guatemalan Corn Production: A Latent Variable Analysis," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 24(1), pages 1-11, April.
   14. David W. Gerbing & James C. Anderson, 1992. "Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models," Sociological Methods & Research, , vol. 21(2), pages 132-160, November.
   15. Ivaldi, Marc & Monier-Dilhan, Sylvette & Simioni, Michel, 1995. "Stochastic production frontiers and panel data: A latent variable framework," European Journal of Operational Research, Elsevier, vol. 80(3), pages 534-547, February.
   16. Albert Satorra, 1991. "Asymptotic robust inferences in the analysis of mean and covariance structures," Economics Working Papers 3, Department of Economics and Business, Universitat Pompeu Fabra.
   17. Yuan, Ke-Hai & Bentler, Peter M., 1997. "Improving parameter tests in covariance structure analysis," Computational Statistics & Data Analysis, Elsevier, vol. 26(2), pages 177-198, December.
   18. Anders Skrondal & Sophia Rabe-Hesketh, 2022. "The Role of Conditional Likelihoods in Latent Variable Modeling," Psychometrika, Springer;The Psychometric Society, vol. 87(3), pages 799-834, September.
   19. Geminiani, Elena & Marra, Giampiero & Moustaki, Irini, 2021. "Single and multiple-group penalized factor analysis: a trust-region algorithm approach with integrated automatic multiple tuning parameter selection," LSE Research Online Documents on Economics 108873, London School of Economics and Political Science, LSE Library.
   20. Hans Baumgartner & Richard P. Bagozzi, 1995. "Specification, Estimation, and Testing of Moment Structure Models Based on Latent Variates Involving Interactions among the Exogenous Constructs," Sociological Methods & Research, , vol. 24(2), pages 187-213, November.
   21. Tenko Raykov & Spiridon Penev, 1997. "Structural equation modeling and the latent linearity hypothesis in social and behavioral research," Quality & Quantity: International Journal of Methodology, Springer, vol. 31(1), pages 57-78, February.
   22. Stanislav Kolenikov & Kenneth A. Bollen, 2012. "Testing Negative Error Variances," Sociological Methods & Research, , vol. 41(1), pages 124-167, February.

3. Ronald Schoenberg & Carol Richtand, 1984. "Application of the EM Method," Sociological Methods & Research, , vol. 13(1), pages 127-150, August.

   Cited by:

   1. Kenneth A. Bollen & Karl G. Jã–Reskog, 1985. "Uniqueness does not Imply Identification," Sociological Methods & Research, , vol. 14(2), pages 155-163, November.

4. Parker, D.A. & Parker, E.S. & Brody, J.A. & Schoenberg, R., 1983. "Alcohol use and cognitive loss among employed men and women," American Journal of Public Health, American Public Health Association, vol. 73(5), pages 521-526.

   Cited by:

   1. Jeremy W. Bray, 2005. "Alcohol Use, Human Capital, and Wages," Journal of Labor Economics, University of Chicago Press, vol. 23(2), pages 279-312, April.

5. Ronald Schoenberg, 1982. "Multiple Indicator Models," Sociological Methods & Research, , vol. 10(4), pages 421-433, May.

   Cited by:

   1. Ronald Schoenberg & Carol Richtand, 1984. "Application of the EM Method," Sociological Methods & Research, , vol. 13(1), pages 127-150, August.
   2. Gregory C. Elliott, 1980. "Components of Pacifism," Journal of Conflict Resolution, Peace Science Society (International), vol. 24(1), pages 27-54, March.
   3. Wolf-Dieter Eberwein & Gisela Hübner-Dick & Wolfgang Jagodzinski & Hans Rattinger & Erich Weede, 1979. "External and Internal Conflict Behavior Among Nations, 1966-1967," Journal of Conflict Resolution, Peace Science Society (International), vol. 23(4), pages 715-742, December.
   4. Cameron McIntosh, 2001. "Report on the Construct Validity of the Temporal Satisfaction With Life Scale," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 54(1), pages 37-56, April.
   5. J. Johansson, 1981. "An extension of Wollenberg's redundancy analysis," Psychometrika, Springer;The Psychometric Society, vol. 46(1), pages 93-103, March.

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