# Robert F. Phillips

**Professor of Economics**

**George Washington University**

**Mailing Address:**

2115 G Street, NW

Suite 340

Washington, DC 20052

**Office:** 303 Hall of Government

**Phone: **202-994-8619

**e-mail:** rphil at gwu dot edu

**Areas of Expertise:**

Panel Data Estimation Methods

Computational Methods

Partially Adaptive Estimation

Switching Regressions

Estimation of Mixtures

**Experience:**

**Professor of Economics**(2000--present), George Washington University.**Associate Professor of Economics**(1991--2000), George Washington University.**Consultant**(1997--1998), DRI/McGraw-Hill.**Assistant Professor of Economics**(1985--1991), George Washington University.**Consultant**(1987), World Bank.**Consultant**(1985--1986), United States Bureau of the Census.**Research Associate**(1984--1985), United States Bureau of the Census.**Lecturer**(1981--1984), Columbia University.

**Education:**

Ph.D. in Economics in 1985, under the direction of Phoebus Dhrymes, Columbia University.

M.Phil. in Economics in 1981, Columbia University.

M.A. in Economics in 1980, Columbia University.

B.A. in Economics and Political Science in 1978, University of California, Berkeley.

## Publications:

Phillips, R. F. (2020). The Equivalence of Two-Step First Difference and Forward Orthogonal Deviations GMM.

40, 2865-2871.**Economics Bulletin**Phillips, R. F. (2020). Quantifying the Advantages of Forward Orthogonal Deviations for Long Time Series.

55, 653-672.**Computational Economics**Phillips, R. F. (2019). A Numerical Equivalence Result for Generalized Method of Moments.

179, 13-15. Reviewed in Mathematical Reviews.**Economics Letters**Phillips, R. F. (2018). Quasi Maximum-Likelihood Estimation of Dynamic Panel Data Models.

47, 3970-3986. Reviewed in Mathematical Reviews.**Communications in Statistics -- Theory and Methods**Phillips, R. F. (2015). On Quasi Maximum-Likelihood Estimation of Dynamic Panel Data Models.

137. 91-94. Reviewed in Mathematical Reviews.**Economics Letters**Phillips, R. F. (2012). On Computing Generalized Least Squares and Maximum-Likelihood Estimates of Error-Components Models with Incomplete Panels and Correlated Disturbances

**.**, Vol. 32, No. 4, pp. 3017-3024.**Economics Bulletin**Phillips, R. F. (2012). On Computing Maximum-Likelihood Estimates of the Unbalanced Two-Way Random-Effects Model.

41, 1921-1927.**Communications in Statistics – Simulation and Computation**Phillips, R. F. (2010). Iterated Feasible Generalized Least-Squares Estimation of Augmented Dynamic Panel Data Models.

28, 410-422. Reviewed in Mathematical Reviews.**Journal of Business & Economic Statistics**Phillips, R. F. (2008). On Calculating Estimates of Stratified Error-Components Models,

, Vol. 3, No. 75, 1-10.**Economics Bulletin**Phillips, R. F. (2004). Estimation of a Generalized Random-Effects Model: Some ECME Algorithms and Monte Carlo Evidence.

28, 1801-1824. Indexed in Mathematical Reviews.**Journal of Economic Dynamics and Control**Phillips, R. F. (2003). Some Monte Carlo Results for a Generalized Error Component Model with Heteroskedastic Disturbances.

3, 1-4.**Economics Bulletin**Phillips, R. F. (2003). Estimation of a Stratified Error-Components Model,

44, 501-521.**International Economic Review**Phillips, R. F. (2003). Review of "Specifying and Diagnostically Testing Econometric Models," 2nd ed. by Stokes, H. H., 1997, in

19, 523-524.**International Journal of Forecasting**Phillips, R. F. (2002). Least Absolute Deviations Estimation via the EM Algorithm.

12 (2002), 281-285. (Wikipedia**Statistics and Computing**reference under "Further reading" for "Least absolute deviations".)Phillips, R. F. (2002). Partially Adaptive Estimation of Autoregressive Processes via a Normal Mixture.

105, 313-326. Reviewed in Mathematical Reviews.**Journal of Statistical Planning and Inference**Phillips, R. F. (1999). Partially Adaptive Estimation of Nonlinear Models via a Normal Mixture.

18, 141-167. Indexed in Mathematical Reviews.**Econometric Reviews**Klock, M. and Phillips, R. F. (1999). A Model of Return Volatility with Application to Estimating Relative Risk Aversion

**.**13, 249-260.**Review of Quantitative Finance and Accounting**Phillips, R. F. (1998). Partially Adaptive Estimation via a Normal Mixture: Some Further Monte Carlo Evidence.

27, 107-114.**Communications in Statistics – Simulation and Computation**Phillips, R. F. (1997). On the Robustness of Two Alternatives to Least Squares: A Monte Carlo Study.

56, 21-26.**Economics Letters**Phillips, R. F. (1996). Forecasting in the Presence of Large Shocks.

20, 1581-1608. Reviewed in Mathematical Reviews.**Journal of Economic Dynamics and Control**Phillips, R. F. (1996). A Note on Partially Adaptive Estimation via a Normal Mixture.

25, 1199--1206. Reviewed in Mathematical Reviews.**Communications in Statistics – Theory and Methods**Phillips, R. F. and Yezer, A. M. J. (1996). Self-Selection and Tests for Bias and Risk in Mortgage Lending: Can You Price the Mortgage if You Don't Know the Process?.

11, 87--102.**Journal of Real Estate Research**Phillips, R. F. (1995). Review of "Learning and Practicing Econometrics" by Griffiths, W. E., R. C. Hill, and G. G. Judge, 1993, in

11, 331--333.**International Journal of Forecasting**Phillips, R. F. and Trost, R. P. (1995). Can Statistical Problems in Tests for Mortgage Loan Discrimination be Resolved?, in A. Yezer, ed.,

(American Bankers Association, Washington, DC), 75-84.**Fair Lending Analysis: A Compendium of Essays on the Use of Statistics**Yezer, A. M. J., Phillips, R. F., and Trsot, R. P. (1994). Bias in Estimates of Discrimination and Default in Mortgage Lending: The Effects of Simultaneity and Self-Selection.

9, 197-215.**Journal of Real Estate Finance and Economics**Phillips, R. F. (1994). Partially Adaptive Estimation via a Normal Mixture.

64, 123-144. Reviewed in Mathematical Reviews.**Journal of Econometrics**Phillips, R. F. (1991). A Note on Testing for Switching Regressions.

35, 31-33.**Economics Letters**Phillips, R. F. (1991). A Constrained Maximum-Likelihood Approach to Estimating Switching Regressions.

48, 241-262. Reviewed in Mathematical Reviews.**Journal of Econometrics**Phillips, R. F. (1990). On Constructing Sequences Estimating the Mixing Distribution with Applications.

19, 705-720. Indexed in Mathematical Reviews.**Communications in Statistics – Simulation and Computation**Phillips, R. F. (1988). Comments on Testing for Forecast and Specification Optimality Using Linear Composites.

7, 131-137.**Journal of Forecasting**Phillips, R. F. (1987). Composite Forecasting: An Integrated Approach and Optimality Reconsidered.

5, 389-395.**Journal of Business & Economic Statistics**Phillips, R. F. (1986). “Floor Discussion,”

.**Proceedings of the U.S. Bureau of the Census Second Annual Research Conference**

## Unpublished Papers:

Phillips, R. F. (2022). Forward Orthogonal Deviations GMM and the Absence of Large Sample Bias. ArXiv preprint.

Phillips, R. F. (2019). A Comparison of First-Difference and Forward Orthogonal Deviations GMM. ArXiv preprint.

Phillips, R. F. (2018). Quantifying the Computational Advantage of Forward Orthogonal Deviations. ArXiv preprint.

Phillips, R. F. (2015). Why Do Emissions Growth Rates Differ Across Countries? Manuscript, Department of Economics, George Washington University.

Phillips, R. F. (2014). Quasi Maximum-Likelihood Estimation of Dynamic Panel Data Models for Short Time Series. RPF Working Paper No. 2014-006.

Phillips, R. F. (2014). Growth and the Environmental Kuznets Curve Hypothesis. Manuscript, Department of Economics, George Washington University.

Phillips, R. F. (2010). On Estimating Unbalanced Error-Components Models. Manuscript, Department of Economics, George Washington University.

Phillips, R. F. and Yezer, A. M. (2005). Testing for Bias in Testing for Bias. Presented at the 2005 Association for Public Policy Analysis and Management Fall Conference.

Phillips, R. F. (1998). Estimation of Random Coefficient Regressions. Manuscript, Department of Economics, George Washington University.

Phillips, R. F. (1997). Estimation of General One-Way Error Component Models with GLS and a Generalized EM Algorithm. Manuscript, Department of Economics, George Washington University.

Phillips, R. F. and Yezer, A. M. (1996). Mortgage Lending in Boston: Is the Bias at the Banks or in the Estimates? Manuscript, Department of Economics, George Washington University.

Phillips, R. F. (1993). Partially Adaptive Estimation via a Normal Mixture: A Generalization. Manuscript, Department of Economics, George Washington University.

Phillips, R. F. (1992). Time Series Regression Estimation When the Disturbances are Contaminated. Manuscript, Department of Economics, George Washington University.

Phillips, R. F. (1991). Some Asymptotic Properties of the Maximum-Likelihood Estimator for the Regression Variance-Mixture Model. Manuscript, Department of Economics, George Washington University.

Phillips, R. F. (1987). A Condition for the Rational Expectations Hypothesis. Discussion Paper 8717, Department of Economics, George Washington University.

Phillips, R. F. (1987). Conditioning on Information Sets. Discussion Paper 8701, Department of Economics, George Washington University.

**Administrative Duties:**

**Director of Undergraduate Studies**(Oct. 2014 -- Sept. 2017), Department of Economics, George Washington University.**Director of Masters Program**(Jan. 2012—June 2012), Department of Economics, George Washington University.**Department Chair**(July 2006—Dec. 2010), Department of Economics, George Washington University.**Co-Director of Ph.D. Program**(Unit I Chair) (July 2003—June 2006), Department of Economics, George Washington University.**Co-Director of Ph.D. Program**(Unit II Chair) (1993—1997), Department of Economics, George Washington University.

**Professional Service:**

Associate Editor (2018--present), Economics Bulletin.

Referee for: Communications in Statistics–Theory and Methods, Computational Statistics & Data Analysis, Contemporary Economic Policy, Economics Bulletin, Econometric Reviews, Econometric Theory, Economics e-journal, International Economic Review, International Journal of Forecasting, Journal of Econometrics, Journal of Forecasting, Journal of Multivariate Analysis, Journal of Productivity Analysis, National Science Foundation, Southern Economic Journal