{"id":2188,"date":"2025-10-16T06:42:37","date_gmt":"2025-10-16T10:42:37","guid":{"rendered":"https:\/\/sites.nd.edu\/lawrence-c-marsh\/?page_id=2188"},"modified":"2025-11-30T10:53:26","modified_gmt":"2025-11-30T14:53:26","slug":"my-research-paper-presentations","status":"publish","type":"page","link":"https:\/\/sites.nd.edu\/lawrence-c-marsh\/my-research-paper-presentations\/","title":{"rendered":".My Research Paper Presentations"},"content":{"rendered":"\n

1. “Generalized Principal Components in Seemingly Unrelated Regressions,” Business and Economic Statistics Section, American Statistical Association<\/em>, Chicago, August 1986.<\/p>\n\n\n\n

2. “The Role of Principal Components in Econometric Analysis,” Midwest Economics Association<\/em>, St. Louis, March 1987.<\/p>\n\n\n\n

3. “Estimating Spline Knots in Time Series Polynomial Regression Models,” The Institute of Management Sciences and Operations Research Society of America<\/em>, St. Louis, October 1987.<\/p>\n\n\n\n

4. “Where to Build Your New Home?: Using Bi-Cubic Spline Knots to Estimate the Value of Alternative Building Sites,” presented at the Midwest Economics Association<\/em> on April 1, 1989 in Cincinnati.<\/p>\n\n\n\n

5. “A Lower Bound for Quadratic Risk for the Class of Conditionally Linear Regression Estimators,” presented to the Department of Economics, University of Chicago<\/em>, Chicago, Illinois., May 1989.<\/p>\n\n\n\n

6. “Principal Elements Regression,” with K. Brunson and T. Urbine, presented to the Department of Economics, Indiana University<\/em>, Indianapolis, November 1989.<\/p>\n\n\n\n

7. “Principal Elements Regression: A New Method of Dealing with Multicollinearity,” with K. Brunson, presented to the Fifty-fourth Annual Meeting of the Midwest Economics Association<\/em>, Chicago, Illinois, March 1990.<\/p>\n\n\n\n

8. “A New Approach to Measuring Utility and Output Levels in Microeconomics,” with D. Brummett, presented to the Sixteenth Annual Convention of the Eastern Economics Association<\/em>, Cincinnati, Ohio, April 1990.<\/p>\n\n\n\n

10. “Alternative Methods of Estimating Piecewise Linear and Higher Order Regression Models Using SAS,” with M. Maudgal and J. Raman, presented to the Fifteenth Annual SAS Convention<\/em>, Nashville,Tennessee, April 1990.<\/p>\n\n\n\n

11. A New Calibration Technique for Determining the Effect of Location on Property Values presented to the\u00a0International Association of (Property Tax) Assessing Officers<\/em>, Montreal, Canada, October 1990.<\/p>\n\n\n\n

12. Using SAS\/IML Software in a New Approach to Dealing with Multicollinearity with A. Sindone, presented to\u00a0SAS Conference<\/em>, New Orleans, Louisiana, with K. Brunson, February 1991.<\/p>\n\n\n\n

13. Emerging Stratification in Black South African Villages presented to\u00a0Eastern Economic Association<\/em>, Pittsburgh, Pennsylvania, with M. Leibbrandt, March 1991.<\/p>\n\n\n\n

14. A New Method of Dealing with Multicollinearity presented to\u00a0Eastern Economic Association<\/em>, Pittsburgh, Pennsylvania, with K. Brunson, March 1991.<\/p>\n\n\n\n

15. Reducing Uncertainty in the Housing Market presented to the\u00a0Mid-Continent Regional Science Association<\/em>, Chicago, Illinois, with A. Sindone, June 1991.<\/p>\n\n\n\n

16. Testing Multiple Inequality Restrictions presented to\u00a0Western Economic Association<\/em>, Seattle, Washington, with G. Echecopar, July 1991.<\/p>\n\n\n\n

17. Mean Square Error Reduction Through Improved Data Analysis Transformations: A New Principal Elements Statistical Method presented to the\u00a0American Statistical Association<\/em>, Atlanta, Georgia, with K. Brunson, August 1991.<\/p>\n\n\n\n

18. Testing Inequality Restrictions with a Computer Intensive Method presented to the\u00a0American Statistical Association<\/em>, Atlanta, Georgia, with G. Echecopar, August 1991.<\/p>\n\n\n\n

19. Consumer Demand Preference Patterns: Using PROC IML to Forecast Future Demand presented to the\u00a0Midwest SAS Conference<\/em>, Chicago, Illinois, with D. Brummett, September 1991.<\/p>\n\n\n\n

20. A Principal Elements Regression Approach to Forecasting Fatalities in Bituminous Coal Production presented to the\u00a0InterAmerican Statistics Seminar<\/em>, Mexico City, Mexico, with K. Brunson, September 1991.<\/p>\n\n\n\n

21. Home Value – Location, Location, Location: An Application of Real Property Global Response Surface Technology presented to the\u00a0Midwest SAS Conference<\/em>, Chicago, Illinois, with A. Sindone, October 1991.<\/p>\n\n\n\n

22. Comparing Alternative Shrinkage Estimators to Reduce Mean Square Error presented to the\u00a0Southern Economic Association<\/em>, Nashville, Tennessee, with K. Brunson, November 1991.<\/p>\n\n\n\n

23. Forecasting International Growth Rates using Principal Elements Regression presented to the\u00a0North American Economics and Finance Association<\/em>, New Orleans, Louisiana, January 1992, with graduate student Kevin Brunson.<\/p>\n\n\n\n

24. Determinants of Achievement in Graduate Statistics Courses presented to the\u00a0Winter Conference of the American Statistical Association<\/em>, Nashville, Tennessee, January 1992.<\/p>\n\n\n\n

25. Production Functions: A Back-Propagating Neural-Networks Approach presented to the\u00a0Midwest Economics Association<\/em>, Chicago, Illinois, March 1992, with graduate student Daric Brummett. <\/p>\n\n\n\n

26. A Method for Analyzing Relationships Among Interdependent Nonlinear Time Series presented to the\u00a0Midwest Economics Association<\/em>, Chicago, Illinois, March 1992, with graduate student David Carrier.<\/p>\n\n\n\n

27. Approaches to Reducing Quadratic Risk Using Principle Elements Regression and Shrinkage Estimators with K. Brunson, invited speaker presented to the Department of Economics at\u00a0Indiana University\u00a0at Bloomington<\/em>, March 1992.<\/p>\n\n\n\n

28. Comparing Traditional Econometric Simultaneous Model with an Unstructured Neural Network Simultaneous Output Model presented to the\u00a0Eastern Economics Association<\/em>, New York, March 1992, with graduate student David M. Brennan.<\/p>\n\n\n\n

29. A Principal Elements Evaluation of Selected Shrinkage Estimators presented to the\u00a0American Statistical Association<\/em>, Boston, August 1992, with graduate student Kevin D. Brunson.<\/p>\n\n\n\n

30. Changes in the Major and Marginal Breadwinner Status of Husbands and Wives During the Period 1967-1987 presented to the\u00a0American Statistical Association<\/em>, Boston, August 1992, with graduate student Kim Montgomery. <\/p>\n\n\n\n

31. Selected Shrinkage Estimators and Principal Elements Evaluation presented to the\u00a0Midwest Econometrics Group<\/em>, at the Federal Reserve Bank of Minneapolis<\/em>, September 1992, with graduate student Kevin D. Brunson.<\/p>\n\n\n\n

32. Determining Primary and Secondary Wage Earner Status Within the Family as a Response to Marginal Tax Rates presented to the\u00a0Southern Economic Association<\/em>, Washington, DC, November 1992, with graduate student Kim Montgomery. <\/p>\n\n\n\n

33. Predicting Family Work Hours presented to the\u00a0Winter Conference of the American Statistical Association<\/em>, Fort Lauderdale, Florida, January 1993, with graduate student David M. Brennan. <\/p>\n\n\n\n

34. How Do You Choose the Best Estimator to Fit Your Particular Application? presented to the\u00a0Eastern Economic Association<\/em>, Washington, DC, March 1993, with graduate student Kevin D. Brunson. <\/p>\n\n\n\n

35. Analyzing Relationships Among Interdependent Nonlinear Time Series presented to the\u00a0Midwest Business Economics Association<\/em>, Chicago, March 1993, with graduate student David Carrier. <\/p>\n\n\n\n

36. Appropriate Econometric Loss Functions for Economics presented to the\u00a0Midwest Economics Association<\/em>, Indianapolis, April 1993, with graduate student Jill Krus. <\/p>\n\n\n\n

37. A Truncated Errors-in-Variables Model for Automobile Miles-per-Gallon Estimation presented to the\u00a0Midwest Economics Association<\/em>, Indianapolis, April 1993, with graduate student Brad Lemler.<\/p>\n\n\n\n

38. Estimating Neural Network Flexible Form Production Functions presented to the\u00a0SAS Conference<\/em>, New York, NY, May 1993, with graduate student Daric L. Brummett. <\/p>\n\n\n\n

39. Nonparametric Neural Network Estimators of Production Function Models presented to the Empirical Economics Workshop<\/em> of the Department of Economics at the\u00a0University of Chicago<\/em>, June 1993, with graduate student Daric L. Brummett. <\/p>\n\n\n\n

40. Nonparametric Neural Network Estimators of Production Function Models presented to the\u00a0Midwest Econometrics Group<\/em>\u00a0at the Department of Economics at the University of Illinois at Urbana-Champaign<\/em>, September 1993, with graduate student Daric L. Brummett. <\/p>\n\n\n\n

41. An Econometric Method for Detecting Relative Power and Agreement\/ Disagreement in Joint Decision Making presented to the\u00a0Southern Economic Association<\/em>, New Orleans, November 1993, with graduate student Aijun Huang. <\/p>\n\n\n\n

42. Causality and Nonlinear Feedback in a Model of Investment and Finance presented at the North American Economics and Finance Association\u00a0<\/em>at the Allied Social Science Association Convention<\/em>, Boston, December 1993, with graduate student David Carrier. <\/p>\n\n\n\n

43. Principal Elements Regression and Shrinkage Estimators presented at the North American Economics and Finance Association\u00a0<\/em>at the Allied Social Science Association Convention<\/em>, Boston, December 1993, with graduate student Kevin Brunson. <\/p>\n\n\n\n

44. Econometric Estimation of “Inefficient” Disequilibrium Models of the Housing MarketNorth American Economics and Finance Association at the Allied Social Science Association Convention, Boston, December 1993, with graduate student Tatre Jantarakolica.<\/p>\n\n\n\n

45. Computer Presentation using Electronic MultiMediapresented to faculty at the University of Chicago at the request of Arnold Zellner, Chicago, January 1994, with Robert Sandy.<\/p>\n\n\n\n

46. Detecting Relative Power and Conflict in Joint Decision MakingMidwest Economics Association, Chicago, March 1994, with Aijun Huang.<\/p>\n\n\n\n

47. Econometric Estimation of ‘Inefficient’ Disequilibrium Models of the Housing Marketinvited presentation to Department of Economics, Indiana University-Purdue University at Indianapolis, Indianapolis, April 1994, with Tatre Janatarokolica.<\/p>\n\n\n\n

48. Interpreting Complex Nonlinear ModelsSAS Convention, Dallas, May 1994, with Maureen McGlynn and Debopam Chakraborty.<\/p>\n\n\n\n

49. Bayesian Solutions to Selection ProblemsValencia Conference on Bayesian Statistics, Alicante, Spain, June 1994, with Arnold Zellner.<\/p>\n\n\n\n

50. Bayesian Solutions to Selection ProblemsInternational Society for Bayesian Analysis, Alicante, Spain, June 1994, with Arnold Zellner.<\/p>\n\n\n\n

51. Bayesian Solutions to Selection ProblemsInternational Society for Bayesian Analysis, Toronto, Canada, August 1994, with Arnold Zellner.<\/p>\n\n\n\n

52. Detecting Relative Power and Conflict in Joint Decision MakingSocial Statistics Section, American Statistical Association, Toronto, Canada, August 1994, with Aijun Huang.<\/p>\n\n\n\n

53. Econometric Estimation of ‘Inefficient’ Disequilibrium Models of the Housing MarketBusiness and Economics Statistics Statistics Section, American Statistical Association, Toronto, Canada, August 1994, with Tatre Janatarokolica.<\/p>\n\n\n\n

54. Bayesian Solutions to Selection ProblemsMidwest Econometrics Group (MEG), University of Iowa, Iowa City, September 1994, with Arnold Zellner.<\/p>\n\n\n\n

55. Transforming Data in SAS: Restructuring Data Sets, Creating Look-Up Tables, and Forming Event-Person Records for Event History Analysis in SASMidwest SAS Conference, Omaha, Nebraska, September 1994, with Karin L. Wells.<\/p>\n\n\n\n

56. An “Inefficient” Disequilibrium Model: with an Application to the Housing Marketinvited lecture to Department of Economics, Michigan State University, East Lansing, Michigan, December 1994, with Tatre Jantarakolica.<\/p>\n\n\n\n

57. The Impact of Financial Flows on U.S. Investment, 1948-1992; An Empirical Model of Institutional Investment TheoryAssociation for Evolutionary Economics, Washington, D.C., January 1995, with David Carrier.<\/p>\n\n\n\n

58. Karnaugh Maps, Interaction Effects, and Creating Composite Dummy Variables for Regression AnalysisSAS Conference, Orlando, Florida, April 1995 with Karin L. Wells.<\/p>\n\n\n\n

59. Bayesian Estimation for Discrete Product Demand with Simultaneous Estimation of Product Supply and Demand Under Various Market ConditionsAmerican Statistical Association, Orlando, Florida, August 1995, with Arnold Zellner.<\/p>\n\n\n\n

60. A Monte Carlo Simulation of Alternative Principal Elements Regression EstimatorsGeneral Methodology Section, American Statistical Association, Orlando, Florida, August 1995, with Kevin D. Brunson.<\/p>\n\n\n\n

61. Using Karnaugh Maps and Composite Dummy Variables in Logistic Regression: Transforming Dependent and Independent VariablesGeneral Methodology Section,.American Statistical Association, Orlando, Florida, August 1995, with Karin L. Wells.<\/p>\n\n\n\n

62. Bayesian Optimal Promotional Activity for Firms Facing Discrete Product DemandWorld Meeting of International Society for Bayesian Analysis (ISBA), Oaxaca, Mexico, September 1995, with Arnold Zellner.<\/p>\n\n\n\n

63. Bayesian Optimization Procedures for Firms Facing Discrete Product Demand, Economic Random Utility Models and Industry EquilibriumMidwest Econometrics Group (MEG), Washington University, Saint Louis, Missouri, October 1995, with Arnold Zellner.<\/p>\n\n\n\n

64. An Analysis of Changes in the Public Employment of Black Women, White Women, Black Men and White Men Using a New Method of Accounting for Missing Data on Job Loss StatusMidwest Economics Association (MEA), Chicago, Illinois, March 1996, with Karin L. Wells.<\/p>\n\n\n\n

65. Bayesian Optimization Procedures for Firms Facing Discrete Product Demand, Economic Random Utility Models and Industry EquilibriumEconometric Society (ES), University of Iowa, Iowa City, Iowa, June 1996, with Arnold Zellner.<\/p>\n\n\n\n

66. An Application of Bayesian Selection ProceduresBayesian Statistical Science – American Statistical Association, Chicago, Illinois, August 1996, with Arnold Zellner.<\/p>\n\n\n\n

67. Racial Differences in the Return to Education: Multicollinearity and Alternative Shrinkage EstimatorsBusiness and Economic Statistics American Statistical Association, Chicago, Illinois, August 1996, with Kevin D. Brunson.<\/p>\n\n\n\n

68. Testing for and Correcting for Missing Data in Survey ResponsesMidwest SAS Users Group, Minneapolis, Minnesota, September 1996, with Shelley S. Baxter.<\/p>\n\n\n\n

69. An Econometric Method of Determining Market Efficiency When Buyers and Sellers Have Reservation PricesMidwest Econometrics Group (MEG), University of Wisconsin, Madison, Wisconsin, November 1996, with Tatre Jantarakolica.<\/p>\n\n\n\n

70. Chow’s Lagrangian Dynamic Optimization ProcedureMidwest Econometrics Group (MEG), Michigan State University, East Lansing, Michigan, October 1997.<\/p>\n\n\n\n

71. Nested Logit Analysis of Missing Response ObservationsMidwest Econometrics Group (MEG), Michigan State University, East Lansing, Michigan, October 1997, with Byung-Joo Lee.<\/p>\n\n\n\n

72. Discrete Nonparametric RegressionMidwest Economics Association (MEA), Chicago, Illinois, March 1998, with Kajal Mukhopadhyay.<\/p>\n\n\n\n

73. Sample Selection Bias Correction for Missing Response ObservationsMidwest Economics Association (MEA), Chicago, Illinois, March 1998, with Byung-Joo Lee.<\/p>\n\n\n\n

74. U.S. and Canadian Interest Rate Policy: A Bivariate Trinomial AnalysisMidwest Economics Association (MEA), Chicago, Illinois, March 1998, with Kajal Mukhopadhyay.<\/p>\n\n\n\n

75. Chow’s Lagrangian Dynamic Optimization ProcedureMidwest Economics Association (MEA), Chicago, Illinois, March 1998.<\/p>\n\n\n\n

76. An Approach to Nonparametric Kernel Regression for Count DataMidwest Econometrics Group (MEG), University of Indiana, Bloomington, September 1998, with Kajal Mukhopadhyay.<\/p>\n\n\n\n

77. An Approach to Nonparametric Kernel Regression for Count DataUpjohn Institute for Employment Research, Kalamazoo, Michigan, October 1998, with Kajal Mukhopadhyay.<\/p>\n\n\n\n

78. A Bivariate Trinomial Analysis of U.S. and Canadian Interest Rate PolicyNorth American Economics and Finance Association at the ASSA meetings in New York City, January 1999, with Kajal Mukhopadhyay.<\/p>\n\n\n\n

79. Count Regression Models Using the Kernel ApproachJoint meeting of the Midwest Economics Association (MEA) and Midwest Econometrics Group (MEG), Nashville, Tennessee, March 27-28, 1999, with Kajal Mukhopadhyay.<\/p>\n\n\n\n

80. Are U.S. and Canadian Interest Rate Policies Correlated After Controlling for Economic Conditions?Midwest Economics Association (MEA) and Midwest Econometrics Group (MEG), Nashville, Tennessee, March 27-28, 1999, with Kajal Mukhopadhyay.<\/p>\n\n\n\n

81. Discrete Nonparametric RegressionBusiness and Economics Statistics Section – American Statistical Association, Baltimore, Maryland, August 1999, with Kajal Mukhopadhyay.<\/p>\n\n\n\n

82. Alternative Approaches to Correcting for Missing Categorical Dependent Variable ResponsesMidwest Econometrics Group (MEG), Department of Economics, Iowa State University, Ames, Iowa , October 1999.<\/p>\n\n\n\n

83. Correcting for Missing Categorical Dependent Variable ResponsesDepartment of Economics, Ohio State University, Columbus, Ohio, October 1999.<\/p>\n\n\n\n

84. Correcting for Missing Discrete Responses in Business SurveysDepartment of Economics, Western Michigan University, Kalamazoo, Michigan, February 2000.<\/p>\n\n\n\n

85. Maximum Likelihood Estimation of Missing Discrete Responses in Business SurveysMidwest Economics Association (MEA) and Midwest Econometrics Group (MEG), Chicago, Illinois, April 2000.<\/p>\n\n\n\n

86. Business Surveys with Missing Data: How to Test for and Correct for Biased Sample Selectioninvited presentation at Indiana University-Purdue University at Indianapolis, September 2000.<\/p>\n\n\n\n

87. Sample Augmentation Method (SAM) Multiple Imputation Approach to Missing Discrete Response Data EstimationMidwest Economics Association (MEA) and Midwest Econometrics Group (MEG), Cleveland, Ohio, March 2001.<\/p>\n\n\n\n

88. Direct Maximum Likelihood and Alternative Methods of Estimating Incomplete Categorical Response ModelsMidwest Econometrics Group (MEG), Kansas City, Missouri, October 2001.<\/p>\n\n\n\n

89. Fixed Effects Estimation of Unobserved Heteroskedasticity in Discrete Choice ModelsMidwest Economics Association (MEA) and Midwest Econometrics Group (MEG), Chicago, Illinois, March 2002.<\/p>\n\n\n\n

90. Bayesian Solutions to Graduate Admissions and Related Selection ProblemsMidwest Econometrics Group (MEG) conference at Department of Economics, Ohio State University, Columbus, Ohio, October 2002.<\/p>\n\n\n\n

91. The Economic Impact of Democrat vs. Republican Control of the White House, Senate and House of RepresentativesMidwest Economics Association (MEA) and Midwest Econometrics Group (MEG), Cleveland, Ohio, March 2003.<\/p>\n\n\n\n

92. Using Spline Regression Models to Compare the Economic Performance of Democrat and Republican Administrationsinvited presentation at Indiana University-Purdue University at Indianapolis, April 2003.<\/p>\n\n\n\n

93. A New Approach to Likelihood Ratio and Related Methods of Hypothesis Testing(with Joe Stevano)Midwest Econometrics Group (MEG) meeting at the Department of Economics, University of Missouri, Columbia, Missouri, October 2003.<\/p>\n\n\n\n

94. The Bootstrap’s Finite Sample Distribution: An Analytical ApproachMidwest Econometrics Group (MEG) meeting at the Department of Economics,Northwestern University, Evanston, Illinois, October 2004.<\/p>\n\n\n\n

95. The Bootstrap’s Finite Sample Distribution: An Analytical ApproachEconometrics and Statistics Colloquium Graduate School of Business, University of Chicago, Chicago, Illinois, February 2005.<\/p>\n\n\n\n

96. The Bootstrap’s Finite Sample Distribution: An Analytical ApproachEconometrics Seminar at the Department of Economics, Stanford University, Stanford, California, February 2005.<\/p>\n\n\n\n

97. Aspects of the Bootstrap’s Finite Sample DistributionBusiness and Economics Statistics Section – American Statistical Association, Minneapolis, Minneasota, August 2005.<\/p>\n","protected":false},"excerpt":{"rendered":"

1. “Generalized Principal Components in Seemingly Unrelated Regressions,” Business and Economic Statistics Section, American Statistical Association, Chicago, August 1986. 2. “The Role of Principal Components in Econometric Analysis,” Midwest Economics Association, St. Louis, March 1987. 3. “Estimating Spline Knots in Time Series Polynomial Regression Models,” The Institute of Management Sciences and Operations Research Society of America, […]<\/p>\n","protected":false},"author":2549,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-2188","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/sites.nd.edu\/lawrence-c-marsh\/wp-json\/wp\/v2\/pages\/2188","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/sites.nd.edu\/lawrence-c-marsh\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.nd.edu\/lawrence-c-marsh\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/lawrence-c-marsh\/wp-json\/wp\/v2\/users\/2549"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.nd.edu\/lawrence-c-marsh\/wp-json\/wp\/v2\/comments?post=2188"}],"version-history":[{"count":12,"href":"https:\/\/sites.nd.edu\/lawrence-c-marsh\/wp-json\/wp\/v2\/pages\/2188\/revisions"}],"predecessor-version":[{"id":2369,"href":"https:\/\/sites.nd.edu\/lawrence-c-marsh\/wp-json\/wp\/v2\/pages\/2188\/revisions\/2369"}],"wp:attachment":[{"href":"https:\/\/sites.nd.edu\/lawrence-c-marsh\/wp-json\/wp\/v2\/media?parent=2188"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}