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David A. Belsley

Personal Details

First Name:David
Middle Name:A.
Last Name:Belsley
Suffix:
RePEc Short-ID:pbe28
[This author has chosen not to make the email address public]
http://fmwww.bc.edu:80/EC-V/Belsley.fac.html
Terminal Degree:1965 Economics Department; Massachusetts Institute of Technology (MIT) (from RePEc Genealogy)

Affiliation

Department of Economics
Boston College

Chestnut Hill, Massachusetts (United States)
http://www.bc.edu/economics/
RePEc:edi:debocus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software Chapters Books

Working papers

  1. David A. Belsley, 2000. "An Investigation Of An Unbiased Corection For Heteroskedasticity And The Effects Of Misspecifying The Skedastic Function," Computing in Economics and Finance 2000 154, Society for Computational Economics.
  2. David A. Belsley, 1997. "Mathematica as an Environment for doing Economics and Econometrics," Boston College Working Papers in Economics 364, Boston College Department of Economics.
  3. David A. Belsley, 1996. "A Small-Sample Correction for Testing for gth-Order Serial Correlation with Artificial Regressions," Boston College Working Papers in Economics 331., Boston College Department of Economics.
  4. David A. Belsley, 1988. "Two or Three Stages of Least Squares?," Boston College Working Papers in Economics 184, Boston College Department of Economics.
  5. David A. Belsley, 1988. "A General Conditioning Diagnostic," Boston College Working Papers in Economics 191, Boston College Department of Economics.
  6. David A. Belsley, 1988. "A Guide to Using the Collinearity Diagnostics," Boston College Working Papers in Economics 190, Boston College Department of Economics.
  7. David A. Belsley, 1988. "Modeling and Forecasting Reliability," Boston College Working Papers in Economics 182, Boston College Department of Economics.
  8. David A. Belsley, 1988. "Conditioning in Models with Logs," Boston College Working Papers in Economics 183, Boston College Department of Economics.
  9. David A. Belsley & Roy E. Welsch, 1987. "Modelling Energy Consumption: Using and Abusing Regression Diagnostics," Boston College Working Papers in Economics 139, Boston College Department of Economics.
  10. David A. Belsley, 1987. "Well-Conditioned Collinearity Indices?," Boston College Working Papers in Economics 132, Boston College Department of Economics.
  11. David A. Belsley & Kent D. Wall, 1976. "Estimation of Econometric Model Using Nonlinear Full Information Maximum Likelihood: Preliminary Computer Results," NBER Working Papers 0142, National Bureau of Economic Research, Inc.
  12. David A. Belsley, 1976. "Multicollinearity: Diagnosing its Presence and Assessing the Potential Damage It Causes Least Squares Estimation," NBER Working Papers 0154, National Bureau of Economic Research, Inc.
  13. David A. Belsley & Virginia Klema, 1974. "Detecting and Assessing the Problems Caused by Multi-Collinearity: A Useof the Singular-Value Decomposition," NBER Working Papers 0066, National Bureau of Economic Research, Inc.
  14. David A. Belsley, 1972. "The Simple Analytics of the Snob and Mr. Smith," Boston College Working Papers in Economics 35, Boston College Department of Economics.
  15. David A. Belsley, "undated". "Mathematica and Economic Research: A Student Tutorial," Computing in Economics and Finance 1997 24, Society for Computational Economics.

Articles

  1. Belsley, David A. & Duchesne, Pierre & Kapetanios, George & John Kontoghiorghes, Erricos & Paolella, Marc & van Dijk, Herman K., 2010. "The Fifth Special Issue on Computational Econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2359-2359, November.
  2. Belsley, David A. & Davidson, Russell & Kontoghiorghes, Erricos John & MacKinnon, James G. & van Dijk, Herman K., 2009. "The fourth special issue on Computational Econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1923-1924, April.
  3. Belsley, David A. & Kontoghiorghes, Erricos John & Magnus, Jan R., 2007. "The Third Special Issue on Computational Econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3258-3258, April.
  4. Belsley, David A. & John Kontoghiorghes, Erricos, 2005. "Second Special issue on Computational Econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 283-285, April.
  5. David Belsley, 2005. "Editor’s Preface: Computational Economics and Finance, Amsterdam," Computational Economics, Springer;Society for Computational Economics, vol. 25(1), pages 1-2, February.
  6. David Belsley, 2003. "Editor's Preface," Computational Economics, Springer;Society for Computational Economics, vol. 21(1), pages 1-2, February.
  7. Belsley, David A. & Kontoghiorghes, Erricos John, 2003. "Editorial," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 277-278, March.
  8. David A. Belsley, 2003. "Editor's Preface," Computational Economics, Springer;Society for Computational Economics, vol. 21(1_2), pages 1-2, February.
  9. Foschi, Paolo & Belsley, David A. & Kontoghiorghes, Erricos J., 2003. "A comparative study of algorithms for solving seemingly unrelated regressions models," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 3-35, October.
  10. David Belsley, 2003. "Editor's Preface," Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 111-112, October.
  11. Belsley, David A., 2002. "An investigation of an unbiased correction for heteroskedasticity and the effects of misspecifying the skedastic function," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1379-1396, August.
  12. David A. Belsley, 2000. "Preface," Computational Economics, Springer;Society for Computational Economics, vol. 16(1/2), pages 1-3, October.
  13. David A. Belsley, 2000. "A Small-Sample Correction for Testing for Joint Serial Correlation with Artificial Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 16(1/2), pages 5-45, October.
  14. Belsley, David A, 1999. "Mathematica as an Environment for Doing Economics and Econometrics," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 69-87, October.
  15. Belsley, David A, 1997. "A Small-Sample Correction for Testing for gth-Order Serial Correlation with Artificial Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 10(3), pages 197-229, August.
  16. Belsley, David A, 1996. "The Relative Power of Zero-Padding When Testing for Serial Correlation Using Artificial Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 9(3), pages 181-198, August.
  17. Belsley, David A, 1992. "Paring 3SLS Calculations Down to Manageable Proportions," Computer Science in Economics & Management, Kluwer;Society for Computational Economics, vol. 5(3), pages 157-169, August.
  18. Charles W. Bausell & Scott L. Smith & David A. Belsley, 1992. "An Analysis of 1980s Dairy Programs and Some Policy Implications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 605-616.
  19. Belsley, David A & Welsch, Roy E, 1988. "Modeling Energy Consumption--Using and Abusing Regression Diagnostics: Comment [Combining Robust and Traditional Least Squares Methods: A Critical Evaluation]," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(4), pages 442-447, October.
  20. Belsley, David A., 1988. "Modelling and forecasting reliability," International Journal of Forecasting, Elsevier, vol. 4(3), pages 427-447.
  21. Belsley, David A., 1988. "Editor's introduction," Journal of Econometrics, Elsevier, vol. 38(1-2), pages 3-5.
  22. Belsley, David A., 1988. "Conditioning in models with logs," Journal of Econometrics, Elsevier, vol. 38(1-2), pages 127-143.
  23. Belsley, David A., 1986. "Model selection in regression analysis, regression diagnostics and prior knowledge : A book review article with comments from Anthony C. Atkinson, D.R. Cox And John McDonald," International Journal of Forecasting, Elsevier, vol. 2(1), pages 41-52.
  24. Belsley, David A. & Oldford, R. W., 1986. "The general problem of ill conditioning and its role in statistical analysis," Computational Statistics & Data Analysis, Elsevier, vol. 4(2), pages 103-120, July.
  25. Belsley, David A., 1982. "Assessing the presence of harmful collinearity and other forms of weak data through a test for signal-to-noise," Journal of Econometrics, Elsevier, vol. 20(2), pages 211-253, November.
  26. Belsley, David A., 1981. "Assessing the quality of regression estimates through a test for signal-to-noise and its application to detecting harmful collinearity," Journal of Econometrics, Elsevier, vol. 16(1), pages 167-167, May.
  27. Belsley, David A., 1980. "On the efficient computation of the nonlinear full-information maximum-likelihood estimator," Journal of Econometrics, Elsevier, vol. 14(2), pages 203-225, October.
  28. David A. Belsley, 1974. "The Constant Term and Deviations about the Mean," The American Economist, Sage Publications, vol. 18(2), pages 109-112, October.
  29. Belsley, David A, 1974. "The t-Test and High-Order Serial Correlation: A Reply," The Review of Economics and Statistics, MIT Press, vol. 56(3), pages 417-418, August.
  30. Belsley, David A, 1973. "The Relative Power of the t-Test: A Furthering Comment," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 132-132, February.
  31. Belsley, David A, 1972. "Specification With Deflated Variables and Specious Spurious Correlation," Econometrica, Econometric Society, vol. 40(5), pages 923-927, September.
  32. Franklin M. Fisher & Victor E. Ferrall, Jr. & David Belsley & Bridger M. Mitchell, 1966. "Community Antenna Television Systems and Local Television Station Audience," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 80(2), pages 227-251.

Software components

  1. David A. Belsley, 2001. "GENSERCOR: Mathematica module for testing for joint serial correlation in regression," Computational Economics Software Archive CE16.5, Kluwer Academic Publishers.
  2. David A. Belsley, 2001. "SERCOR: Mathematica module for testing for gth order serial correlation in regression," Computational Economics Software Archive CE10.197, Kluwer Academic Publishers.
  3. David A. Belsley, 1996. "STATUTILITIES: Mathematica package of statistical utilities," Statistical Software Components M6B2303, Boston College Department of Economics, revised 05 Mar 2001.
  4. David A. Belsley, 1996. "ECONOMETRICS: Mathematica package of econometric tools," Statistical Software Components M6B2302, Boston College Department of Economics, revised 30 Mar 2008.
  5. David A. Belsley, 1996. "ECONOMETRICS-STATUTILITIES: Mathematica packages of econometric tools and utilities," Computational Economics Software Archive CE14.69, Kluwer Academic Publishers, revised 05 Mar 2001.
  6. David A. Belsley, 1996. "BLOCKMATRIX: Mathematica package to handle block matrix operations," Statistical Software Components M6B2301, Boston College Department of Economics, revised 05 Mar 2001.

Chapters

  1. David A. Belsley, 1974. "Estimation of Systems of Simultaneous Equations, and Computational Specifications of GREMLIN," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 551-614, National Bureau of Economic Research, Inc.
  2. David A. Belsley & Edwin Kuh, 1973. "Time-Varying Parameter Structures: An Overview," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 375-379, National Bureau of Economic Research, Inc.
  3. David A. Belsley, 1973. "On the Determination of Systematic Parameter Variation in the Linear Regression Model," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 487-494, National Bureau of Economic Research, Inc.
  4. David A. Belsley, 1973. "The Applicability of the Kalman Filter in the Determination of Systematic Parameter Variation," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 531-533, National Bureau of Economic Research, Inc.
  5. David A. Belsley, 1973. "A Test for Systematic Variation in Regression Coefficients," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 495-499, National Bureau of Economic Research, Inc.

Books

  1. David A. Belsley & Edwin Kuh (ed.), 1985. "Model Reliability," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262524015, December.

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. David A. Belsley, 2000. "An Investigation Of An Unbiased Corection For Heteroskedasticity And The Effects Of Misspecifying The Skedastic Function," Computing in Economics and Finance 2000 154, Society for Computational Economics.

    Cited by:

    1. Erdenebat Bataa & Dong H. Kim & Denise R. Osborn, 2006. "A Further Examination of the Expectations Hypothesis for the Term Structure," Economics Discussion Paper Series 0611, Economics, The University of Manchester.
    2. Erdenebat Bataa & Dong H. Kim & Denise R. Osborn, 2007. "Expectations Hypothesis Tests in the Presence of Model Uncertainty," Discussion Paper Series 0703, Institute of Economic Research, Korea University.
    3. Godfrey, L.G., 2006. "Tests for regression models with heteroskedasticity of unknown form," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2715-2733, June.
    4. Godfrey, L.G. & Tremayne, A.R., 2005. "The wild bootstrap and heteroskedasticity-robust tests for serial correlation in dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 377-395, April.

  2. David A. Belsley, 1997. "Mathematica as an Environment for doing Economics and Econometrics," Boston College Working Papers in Economics 364, Boston College Department of Economics.

    Cited by:

    1. Vieira, Wilson da Cruz & Lelis, Levi H. Santana de, 2005. "Programming languages in economics: a comparison among Fortran77, C++, and Java," Revista de Economia e Agronegócio / Brazilian Review of Economics and Agribusiness, Federal University of Vicosa, Department of Agricultural Economics, vol. 3(3), pages 1-16.
    2. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    3. Luke Olson & Max Jerrell & Ryder Delaloye, 2005. "A Computer Algebra Primer and Homework Exercises for use in an Intermediate Macroeconomics Course – A Student/Teacher Collaboration," Computational Economics, Springer;Society for Computational Economics, vol. 26(3), pages 51-58, November.
    4. Tomasz Kopczewski, 2015. "Think not calculate! Implementation of Felix Klein postulates in economic education with CAS software," Working Papers 2015-38, Faculty of Economic Sciences, University of Warsaw.
    5. Tim Kochanski, 2007. "Moving Economic Models from the Chalk Board to the Computer: A Computer-Based Assignment Based on a Dynamic Cournot Model," Computers in Higher Education Economics Review, Economics Network, University of Bristol, vol. 19(1), pages 24-32.
    6. Halkos, George & Tsilika, Kyriaki, 2016. "Measures of correlation and computer algebra," MPRA Paper 70200, University Library of Munich, Germany.
    7. George E. Halkos & Kyriaki D. Tsilika, 2018. "Programming Correlation Criteria with free CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 299-311, June.

  3. David A. Belsley, 1996. "A Small-Sample Correction for Testing for gth-Order Serial Correlation with Artificial Regressions," Boston College Working Papers in Economics 331., Boston College Department of Economics.

    Cited by:

    1. Belsley, David A., 2002. "An investigation of an unbiased correction for heteroskedasticity and the effects of misspecifying the skedastic function," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1379-1396, August.
    2. Mohd. FAYAZ & Kaur Bhatia SANDEEP, 2016. "Trends , Patterns and Determinants of Indian Current Account Deficit," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 16(1).
    3. Godfrey, L.G. & Tremayne, A.R., 2005. "The wild bootstrap and heteroskedasticity-robust tests for serial correlation in dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 377-395, April.

  4. David A. Belsley, 1988. "Two or Three Stages of Least Squares?," Boston College Working Papers in Economics 184, Boston College Department of Economics.

    Cited by:

    1. Eileen Trzcinski & Elke Holst, 2011. "A Critique and Reframing of Personality in Labour Market Theory: Locus of Control and Labour Market Outcomes," SOEPpapers on Multidisciplinary Panel Data Research 403, DIW Berlin, The German Socio-Economic Panel (SOEP).
    2. Ozdamar, Oznur & Giovanis, Eleftherios, 2014. "Valuing the Effects of Air and Noise Pollution on Health Status in Turkey," MPRA Paper 59992, University Library of Munich, Germany.
    3. Jorge Braga de Macedo & Joaquim Oliveira Martins & João Tovar Jalles, 2021. "Globalization, Freedoms and Economic Convergence: An empirical exploration of a trivariate relationship using a large panel," Working Papers REM 2021/0189, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    4. Tram Nguyen & David Tripe & Thanh Ngo, 2018. "Operational Efficiency of Bank Loans and Deposits: A Case Study of Vietnamese Banking System," IJFS, MDPI, vol. 6(1), pages 1-13, January.
    5. Xun Bian & Geoffrey K. Turnbull & Bennie D. Waller, 2017. "Client Externality Effects of Agents Selling Their Own Properties," The Journal of Real Estate Finance and Economics, Springer, vol. 54(2), pages 139-164, February.
    6. Agnese Romiti, 2018. "The Effects of Immigration on Household Services, Labour Supply and Fertility," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(4), pages 843-869, August.
    7. Yoo, Sunbin & Yoshida, Yoshikuni, 2019. "Consumer preferences and financial incentives in the Japanese automobile industry," Transport Policy, Elsevier, vol. 81(C), pages 220-229.
    8. José Carlos Coelho & José Alves, 2021. "Two-way relationship between inequality and growth within fiscal policy channel: an empirical assessment for European countries," Working Papers REM 2021/0205, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    9. Charles-Coll, Jorge A., 2010. "The optimal rate of inequality: A framework for the relationship between income inequality and economic growth," MPRA Paper 28921, University Library of Munich, Germany.
    10. Mircea I. Cosbuc & Cristian Gatu & Ana Colubi & Erricos John Kontoghiorghes, 2017. "A Generalized Singular Value Decomposition Strategy for Estimating the Block Recursive Simultaneous Equations Model," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 503-515, October.
    11. Cameron McIntosh, 2014. "The presence of an error term does not preclude causal inference in regression: a comment on Krause (2012)," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 243-250, January.

  5. David A. Belsley, 1988. "A Guide to Using the Collinearity Diagnostics," Boston College Working Papers in Economics 190, Boston College Department of Economics.

    Cited by:

    1. Tomasz Chrulski & Mariusz Łaciak, 2021. "Analysis of Natural Gas Consumption Interdependence for Polish Industrial Consumers on the Basis of an Econometric Model," Energies, MDPI, vol. 14(22), pages 1-26, November.
    2. Lettie C. McKay & Karen L. DeLong & Kimberly L. Jensen & Andrew P. Griffith & Christopher N. Boyer & Dayton M. Lambert, 2019. "Estimating restaurant willingness to pay for local beef," Agribusiness, John Wiley & Sons, Ltd., vol. 35(4), pages 610-624, October.
    3. Velandia, Margarita & Jensen, Kimberly & DeLong, Karen L. & Wszelaki, Annette & Rihn, Alicia, 2020. "Tennessee Fruit and Vegetable Farmer Preferences and Willingness to Pay for Plastic Biodegradable Mulch," Journal of Food Distribution Research, Food Distribution Research Society, vol. 51(3), November.
    4. Luis Enrique Valdez-Juárez & Dolores Gallardo-Vázquez & Elva Alicia Ramos-Escobar, 2021. "Entrepreneurial orientation and CSR: a dynamic capability in the corporate performance of Mexican SMEs," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(3), pages 654-680, March.
    5. Xingqiang Du & Jianying Weng & Quan Zeng & Yingying Chang & Hongmei Pei, 2017. "Do Lenders Applaud Corporate Environmental Performance? Evidence from Chinese Private-Owned Firms," Journal of Business Ethics, Springer, vol. 143(1), pages 179-207, June.
    6. Velandia, Margarita & Edge, Brittani & Boyer, Christopher & Larson, James & Lambert, Dayton & Wilson, Bradley & Buschermohle, Michael & Rejesus, Roderick & Falconer, Larry & English, Burton C., 2016. "Factors Influencing the Adoption of Automatic Section Control Technologies and GPS Auto-Guidance Systems in Cotton Production," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235563, Agricultural and Applied Economics Association.
    7. Jaebong Son & Jintae Lee & Kai R. Larsen & Jiyoung Woo, 2020. "Understanding the uncertainty of disaster tweets and its effect on retweeting: The perspectives of uncertainty reduction theory and information entropy," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(10), pages 1145-1161, October.
    8. Jamie Alcock & Petra Andrlikova, 2018. "Asymmetric Dependence in Real Estate Investment Trusts: An Asset-Pricing Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 56(2), pages 183-216, February.
    9. Jeetendra Prakash Aryal & Dil Bahadur Rahut & Sofina Maharjan & Olaf Erenstein, 2018. "Factors affecting the adoption of multiple climate‐smart agricultural practices in the Indo‐Gangetic Plains of India," Natural Resources Forum, Blackwell Publishing, vol. 42(3), pages 141-158, August.
    10. Lkhagvadorj Munkhdalai & Tsendsuren Munkhdalai & Oyun-Erdene Namsrai & Jong Yun Lee & Keun Ho Ryu, 2019. "An Empirical Comparison of Machine-Learning Methods on Bank Client Credit Assessments," Sustainability, MDPI, vol. 11(3), pages 1-23, January.
    11. Xingqiang Du & Jianying Weng & Quan Zeng & Hongmei Pei, 2017. "Culture, Marketization, and Owner-Manager Agency Costs: A Case of Merchant Guild Culture in China," Journal of Business Ethics, Springer, vol. 143(2), pages 353-386, June.
    12. Kimon Ntotsis & Alex Karagrigoriou & Andreas Artemiou, 2021. "Interdependency Pattern Recognition in Econometrics: A Penalized Regularization Antidote," Econometrics, MDPI, vol. 9(4), pages 1-13, December.
    13. Olena Koval & Håvard Hansen, 2021. "It Takes a Couple to Tango: Antecedents to Collaborative Decision-Making," Social Sciences, MDPI, vol. 10(7), pages 1-15, June.
    14. Juan Laborda & Seyong Ryoo, 2021. "Feature Selection in a Credit Scoring Model," Mathematics, MDPI, vol. 9(7), pages 1-22, March.
    15. Bellingham, Sarah & Velandia, Margarita & Boyer, Christopher & Hellwinckel, Chad, 2018. "Factors Influencing Tomato Prices at Tennessee Farmers' Markets," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266568, Southern Agricultural Economics Association.
    16. Ningcheng Wang & Yufan Liu & Jinzi Wang & Xingjian Qian & Xizhi Zhao & Jianping Wu & Bin Wu & Shenjun Yao & Lei Fang, 2019. "Investigating the Potential of Using POI and Nighttime Light Data to Map Urban Road Safety at the Micro-Level: A Case in Shanghai, China," Sustainability, MDPI, vol. 11(17), pages 1-14, August.
    17. Howard, Peter H., 2012. "Climate Change, Vegetation, and Welfare: Estimating the Welfare Loss to Landowners of Marginal Shifts in Blue Oak Habitat," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124744, Agricultural and Applied Economics Association.
    18. DeLong, Karen L. & Jensen, Kimberly L. & Upendram, Sreedhar & Eckelkamp, Elizabeth, . "Consumer Preferences for Tennessee Milk," Journal of Food Distribution Research, Food Distribution Research Society, vol. 51(2).
    19. Halkos, George & Tsilika, Kyriaki, 2016. "Measures of correlation and computer algebra," MPRA Paper 70200, University Library of Munich, Germany.
    20. Román Salmerón Gómez & Catalina García García & José García Pérez, 2020. "Detection of Near-Nulticollinearity through Centered and Noncentered Regression," Mathematics, MDPI, vol. 8(6), pages 1-17, June.
    21. Markussen, Simen & Strøm, Marte, 2015. "The Effects of Motherhood," Memorandum 19/2015, Oslo University, Department of Economics.
    22. George E. Halkos & Kyriaki D. Tsilika, 2018. "Programming Correlation Criteria with free CAS Software," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 299-311, June.

  6. David A. Belsley, 1988. "Conditioning in Models with Logs," Boston College Working Papers in Economics 183, Boston College Department of Economics.

    Cited by:

    1. Robert McClelland & Mary F. Kokoski, 1994. "Econometric Issues in the Analysis of Charitable Giving," Public Finance Review, , vol. 22(4), pages 498-517, October.

  7. David A. Belsley, 1987. "Well-Conditioned Collinearity Indices?," Boston College Working Papers in Economics 132, Boston College Department of Economics.

    Cited by:

    1. Santiago Velilla, 2018. "A Note on Collinearity Diagnostics and Centering," The American Statistician, Taylor & Francis Journals, vol. 72(2), pages 140-146, April.
    2. Alexis Lazaridis, 2007. "A Note Regarding the Condition Number: The Case of Spurious and Latent Multicollinearity," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(1), pages 123-135, February.

  8. David A. Belsley, 1976. "Multicollinearity: Diagnosing its Presence and Assessing the Potential Damage It Causes Least Squares Estimation," NBER Working Papers 0154, National Bureau of Economic Research, Inc.

    Cited by:

    1. Roy E. Welsch & Edwin Kuh, 1977. "Linear Regression Diagnostics," NBER Working Papers 0173, National Bureau of Economic Research, Inc.
    2. H J P Timmermans, 1981. "Multiattribute Shopping Models and Ridge Regression Analysis," Environment and Planning A, , vol. 13(1), pages 43-56, January.
    3. G. Acosta & M. Graña & J. P. Pinasco, 2006. "Condition numbers and scale free graphs," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 53(3), pages 381-385, October.

  9. David A. Belsley & Virginia Klema, 1974. "Detecting and Assessing the Problems Caused by Multi-Collinearity: A Useof the Singular-Value Decomposition," NBER Working Papers 0066, National Bureau of Economic Research, Inc.

    Cited by:

    1. David A. Belsley, 1976. "Multicollinearity: Diagnosing its Presence and Assessing the Potential Damage It Causes Least Squares Estimation," NBER Working Papers 0154, National Bureau of Economic Research, Inc.
    2. Irene Aldridge & Payton Martin, 2022. "ESG In Corporate Filings: An AI Perspective," Papers 2212.00018, arXiv.org.

Articles

  1. Belsley, David A. & Kontoghiorghes, Erricos John & Magnus, Jan R., 2007. "The Third Special Issue on Computational Econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3258-3258, April.

    Cited by:

    1. Belsley, David A. & Davidson, Russell & Kontoghiorghes, Erricos John & MacKinnon, James G. & van Dijk, Herman K., 2009. "The fourth special issue on Computational Econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1923-1924, April.

  2. Belsley, David A. & John Kontoghiorghes, Erricos, 2005. "Second Special issue on Computational Econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 283-285, April.

    Cited by:

    1. Giorgio Calzolari & Laura Neri, 2010. "The Method of Simulated Scores for Estimating Multinormal Regression Models with Missing Values," Econometrics Working Papers Archive wp2010_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    2. Belsley, David A. & Davidson, Russell & Kontoghiorghes, Erricos John & MacKinnon, James G. & van Dijk, Herman K., 2009. "The fourth special issue on Computational Econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1923-1924, April.

  3. Foschi, Paolo & Belsley, David A. & Kontoghiorghes, Erricos J., 2003. "A comparative study of algorithms for solving seemingly unrelated regressions models," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 3-35, October.

    Cited by:

    1. Giorgio Calzolari & Laura Neri, 2010. "The Method of Simulated Scores for Estimating Multinormal Regression Models with Missing Values," Econometrics Working Papers Archive wp2010_01, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    2. Godolphin, J.D., 2009. "New formulations for recursive residuals as a diagnostic tool in the fixed-effects linear model with design matrices of arbitrary rank," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2119-2128, April.
    3. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    4. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    5. Wang, Hao, 2010. "Sparse seemingly unrelated regression modelling: Applications in finance and econometrics," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2866-2877, November.
    6. Gatu, Cristian & Kontoghiorghes, Erricos J., 2006. "Estimating all possible SUR models with permuted exogenous data matrices derived from a VAR process," Journal of Economic Dynamics and Control, Elsevier, vol. 30(5), pages 721-739, May.
    7. Hadjiantoni, Stella & Kontoghiorghes, Erricos John, 2022. "An alternative numerical method for estimating large-scale time-varying parameter seemingly unrelated regressions models," Econometrics and Statistics, Elsevier, vol. 21(C), pages 1-18.
    8. Triantafyllopoulos, K. & Nason, G.P., 2007. "A Bayesian analysis of moving average processes with time-varying parameters," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 1025-1046, October.
    9. Hofmann, Marc & Kontoghiorghes, Erricos John, 2010. "Matrix strategies for computing the least trimmed squares estimation of the general linear and SUR models," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3392-3403, December.
    10. Foschi, Paolo & Kontoghiorghes, Erricos J., 2003. "Estimating seemingly unrelated regression models with vector autoregressive disturbances," Journal of Economic Dynamics and Control, Elsevier, vol. 28(1), pages 27-44, October.
    11. Paolo, Foschi, 2005. "Estimating regressions and seemingly unrelated regressions with error component disturbances," MPRA Paper 1424, University Library of Munich, Germany, revised 07 Sep 2006.
    12. Di Iorio, Francesca & Fachin, Stefano, 2012. "A note on the estimation of long-run relationships in panel equations with cross-section linkages," Economics Discussion Papers 2012-1, Kiel Institute for the World Economy (IfW Kiel).

  4. Belsley, David A., 2002. "An investigation of an unbiased correction for heteroskedasticity and the effects of misspecifying the skedastic function," Journal of Economic Dynamics and Control, Elsevier, vol. 26(9-10), pages 1379-1396, August.
    See citations under working paper version above.
  5. David A. Belsley, 2000. "A Small-Sample Correction for Testing for Joint Serial Correlation with Artificial Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 16(1/2), pages 5-45, October.

    Cited by:

    1. Godfrey, L.G. & Tremayne, A.R., 2005. "The wild bootstrap and heteroskedasticity-robust tests for serial correlation in dynamic regression models," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 377-395, April.

  6. Belsley, David A, 1999. "Mathematica as an Environment for Doing Economics and Econometrics," Computational Economics, Springer;Society for Computational Economics, vol. 14(1-2), pages 69-87, October.
    See citations under working paper version above.
  7. Belsley, David A, 1997. "A Small-Sample Correction for Testing for gth-Order Serial Correlation with Artificial Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 10(3), pages 197-229, August.
    See citations under working paper version above.
  8. Belsley, David A, 1992. "Paring 3SLS Calculations Down to Manageable Proportions," Computer Science in Economics & Management, Kluwer;Society for Computational Economics, vol. 5(3), pages 157-169, August.

    Cited by:

    1. Kontoghiorghes, Erricos J & Dinenis, Elias, 1997. "Computing 3SLS Solutions of Simultaneous Equation Models with a Possible Singular Variance-Covariance Matrix," Computational Economics, Springer;Society for Computational Economics, vol. 10(3), pages 231-250, August.
    2. Mircea I. Cosbuc & Cristian Gatu & Ana Colubi & Erricos John Kontoghiorghes, 2017. "A Generalized Singular Value Decomposition Strategy for Estimating the Block Recursive Simultaneous Equations Model," Computational Economics, Springer;Society for Computational Economics, vol. 50(3), pages 503-515, October.
    3. Cameron McIntosh, 2014. "The presence of an error term does not preclude causal inference in regression: a comment on Krause (2012)," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 243-250, January.
    4. Foschi, Paolo & Belsley, David A. & Kontoghiorghes, Erricos J., 2003. "A comparative study of algorithms for solving seemingly unrelated regressions models," Computational Statistics & Data Analysis, Elsevier, vol. 44(1-2), pages 3-35, October.

  9. Charles W. Bausell & Scott L. Smith & David A. Belsley, 1992. "An Analysis of 1980s Dairy Programs and Some Policy Implications," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 605-616.

    Cited by:

    1. D’Antoni, Jeremy M. & Mishra, Ashok K. & Blayney, Donald, 2013. "Assessing participation in the Milk Income Loss Contract program and its impact on milk production," Journal of Policy Modeling, Elsevier, vol. 35(2), pages 243-254.
    2. Helmberger, Peter G. & Chen, Yu-Hui, 1994. "Economic Effects Of U.S. Dairy Programs," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(2), pages 1-14, December.
    3. Wang, Fude & Boisvert, Richard N. & Kaiser, Harry, 1992. "U.S. Dairy Policy Alternatives Under Bovine Somatotropin," Staff Papers 197594, Cornell University, Department of Applied Economics and Management.
    4. Nubern, Chris A. & Purcell, Wayne D., 1997. "Competitiveness of Dairy Producers in a Deregulated Market," Staff Papers 232553, Virginia Polytechnic Institute and State University, Department of Agricultural and Applied Economics.
    5. Adelaja, Adesoji O. & Miller, Tracy & Taslim, Mohammad, 1998. "Land Values, Market Forces, And Declining Dairy Herd Size: Evidence From An Urban-Influenced Region," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 27(1), pages 1-9, April.
    6. Kaiser, Harry M., 1993. "An Analysis of Alternatives to the Dairy Price Support Program," Research Bulletins 123016, Cornell University, Department of Applied Economics and Management.
    7. Thomas L. Cox & Jean-Paul Chavas & Edward Jesse, 1994. "Regional Impacts of Reducing Dairy Price Supports and Removing Milk Marketing Orders in the U.S. Dairy Sector," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 377, Wisconsin-Madison Agricultural and Applied Economics Department.
    8. Paudel, Krishna P. & Gauthier, Wayne M. & Hall, Larry M. & Westra, John V., 2006. "Willingness to Participate in Dairy Programs to Reduce Manure Related Problems in Louisiana's Major Dairy Production Region," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35259, Southern Agricultural Economics Association.

  10. Belsley, David A & Welsch, Roy E, 1988. "Modeling Energy Consumption--Using and Abusing Regression Diagnostics: Comment [Combining Robust and Traditional Least Squares Methods: A Critical Evaluation]," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(4), pages 442-447, October.

    Cited by:

    1. Kane, Stephen, 2004. "Scientific methods in finance," International Review of Financial Analysis, Elsevier, vol. 13(1), pages 105-118.

  11. Belsley, David A., 1988. "Conditioning in models with logs," Journal of Econometrics, Elsevier, vol. 38(1-2), pages 127-143.
    See citations under working paper version above.
  12. Belsley, David A., 1982. "Assessing the presence of harmful collinearity and other forms of weak data through a test for signal-to-noise," Journal of Econometrics, Elsevier, vol. 20(2), pages 211-253, November.

    Cited by:

    1. José García & Román Salmerón & Catalina García & María del Mar López Martín, 2016. "Standardization of Variables and Collinearity Diagnostic in Ridge Regression," International Statistical Review, International Statistical Institute, vol. 84(2), pages 245-266, August.
    2. Joseph, Agnes S. & Kiviet, Jan F., 2005. "Viewing the relative efficiency of IV estimators in models with lagged and instantaneous feedbacks," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 417-444, April.
    3. Roman Salmerón Gómez & José García Pérez & María Del Mar López Martín & Catalina García García, 2016. "Collinearity diagnostic applied in ridge estimation through the variance inflation factor," Journal of Applied Statistics, Taylor & Francis Journals, vol. 43(10), pages 1831-1849, August.
    4. Eréndira Fierro Moreno & Francisca Ariadna Ortiz Reyes & Juan Carlos Montes de Oca López, 2020. "Job Satisfaction And Knowledge Sharing In A Public Government Organization In The State Of Mexico," 'Oikos Polis', Revista Latinoamericana de Ciencias Económicas y Sociales (RLCES), Instituto de Investigaciones Economicas y Sociales 'Jose Ortiz Mercado' (IIES-JOM), Facultad de Ciencias Económicas, Administrativas y Financieras, Universidad Autonoma Gabriel Rene Moreno, vol. 5(2), pages 71-96.
    5. Michael Miller & Frank Farmer, 1988. "Substantive nonadditivity in social science research A note on induced collinearity and measurement and testing of effects," Quality & Quantity: International Journal of Methodology, Springer, vol. 22(3), pages 221-237, September.
    6. Andrea Poli & Angelo Gemignani & Mario Miccoli, 2022. "Randomized Trial on the Effects of a Group EMDR Intervention on Narrative Complexity and Specificity of Autobiographical Memories: A Path Analytic and Supervised Machine-Learning Study," IJERPH, MDPI, vol. 19(13), pages 1-18, June.
    7. Román Salmerón & José García & Catalina García & María del Mar López, 2018. "Transformation of variables and the condition number in ridge estimation," Computational Statistics, Springer, vol. 33(3), pages 1497-1524, September.
    8. Lee C. Adkins & Melissa S. Waters & R. Carter Hill, 2015. "Collinearity Diagnostics in gretl," Economics Working Paper Series 1506, Oklahoma State University, Department of Economics and Legal Studies in Business.
    9. Braden, J. B. & Kolstad, C. D. & Woock, R. A. & Machado, J. A., 2001. "Is coal desulphurisation worthwhile? Evidence from the market," Energy Policy, Elsevier, vol. 29(3), pages 217-225, February.
    10. Salmerón Gómez, Román & Rodríguez Martínez, Eduardo, 2017. "Métodos cuantitativos para un modelo de regresión lineal con multicolinealidad. Aplicación a rendimientos de letras del tesoro || Quantitative Methods for a Linear Regression Model with Multicollinear," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 24(1), pages 169-189, Diciembre.
    11. Román Salmerón-Gómez & Ainara Rodríguez-Sánchez & Catalina García-García, 2020. "Diagnosis and quantification of the non-essential collinearity," Computational Statistics, Springer, vol. 35(2), pages 647-666, June.
    12. Ehalaiye, Dimu & Tippett, Mark & van Zijl, Tony, 2017. "The predictive value of bank fair values," Pacific-Basin Finance Journal, Elsevier, vol. 41(C), pages 111-127.
    13. Marc de Bourmont, 2012. "La résolution d'un problème de multicolinéarité au sein des études portant sur les déterminants d'une publication volontaire d'informations : proposition d'un algorithme de décision simplifié basé sur," Post-Print hal-00691156, HAL.

  13. Belsley, David A., 1980. "On the efficient computation of the nonlinear full-information maximum-likelihood estimator," Journal of Econometrics, Elsevier, vol. 14(2), pages 203-225, October.

    Cited by:

    1. Jason Li-Ying & Yuandi Wang & Lutao Ning, 2016. "How do dynamic capabilities transform external technologies into firms’ renewed technological resources? – A mediation model," Asia Pacific Journal of Management, Springer, vol. 33(4), pages 1009-1036, December.
    2. Gabriele Fiorentini & Giorgio Calzolari & Lorenzo Panattoni, 1995. "Analytic Derivatives and the Computation of GARCH Estimates," Working Papers wp1995_9519, CEMFI.
    3. Wang, Yuandi & Ning, Lutao & Chen, Jin, 2014. "Product diversification through licensing: Empirical evidence from Chinese firms," European Management Journal, Elsevier, vol. 32(4), pages 577-586.
    4. Meijun Liu & Dongbo Shi & Jiang Li, 2017. "Double-edged sword of interdisciplinary knowledge flow from hard sciences to humanities and social sciences: Evidence from China," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-16, September.
    5. Michael Funke & Sean Holly, 1992. "The determinants of West German exports of manufactures: An integrated demand and supply approach," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 128(3), pages 498-512, September.
    6. Weihs, Claus & Calzolari, Giorgio & Panattoni, Lorenzo, 1986. "The behavior of trust-region methods in FIML estimation," MPRA Paper 24122, University Library of Munich, Germany, revised 1987.
    7. Calzolari, Giorgio, 1992. "Stima delle equazioni simultanee non-lineari: una rassegna [Estimation of nonlinear simultaneous equations: a survey]," MPRA Paper 24123, University Library of Munich, Germany, revised 1992.
    8. Wang, Yuandi & Zhou, Zhao, 2013. "The dual role of local sites in assisting firms with developing technological capabilities: Evidence from China," International Business Review, Elsevier, vol. 22(1), pages 63-76.
    9. Calzolari, Giorgio & Panattoni, Lorenzo, 1987. "Finite sample performance of the robust Wald test in simultaneous equation systems," MPRA Paper 22557, University Library of Munich, Germany.
    10. Calzolari, Giorgio & Panattoni, Lorenzo, 1983. "Hessian and approximated Hessian matrices in maximum likelihood estimation: a Monte Carlo study," MPRA Paper 28847, University Library of Munich, Germany.
    11. Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1981. "Alternative estimates of the Klein-I model," MPRA Paper 23337, University Library of Munich, Germany, revised Sep 1981.
    12. Isaiah Hull & Or Sattath & Eleni Diamanti & Goran Wendin, 2020. "Quantum Technology for Economists," Papers 2012.04473, arXiv.org, revised Oct 2021.
    13. Calzolari, Giorgio & Panattoni, Lorenzo, 1985. "Gradient methods in FIML estimation of econometric models," MPRA Paper 24843, University Library of Munich, Germany.
    14. Yuandi Wang & Nadine Roijakkers & Wim Vanhaverbeke, 2014. "How fast do Chinese firms learn and catch up? Evidence from patent citations," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(1), pages 743-761, January.
    15. Meldrum, James R. & Champ, Patricia A. & Bond, Craig A., 2013. "Heterogeneous nonmarket benefits of managing white pine bluster rust in high-elevation pine forests," Journal of Forest Economics, Elsevier, vol. 19(1), pages 61-77.
    16. Calzolari, Giorgio, 2012. "Econometric notes," MPRA Paper 36765, University Library of Munich, Germany.
    17. Yuandi Wang & Zhao Zhou & Jason Li-Ying, 2013. "The impact of licensed-knowledge attributes on the innovation performance of licensee firms: evidence from the Chinese electronic industry," The Journal of Technology Transfer, Springer, vol. 38(5), pages 699-715, October.
    18. Calzolari, Giorgio, 1987. "La varianza delle previsioni nei modelli econometrici [Forecast variance in econometric models]," MPRA Paper 23866, University Library of Munich, Germany.
    19. Audi, Marc & Ali, Amjad & Fayad Hamadeh, Hani, 2022. "Nexus among innovations, financial development and economic growth in developing countries," MPRA Paper 115220, University Library of Munich, Germany.
    20. Hongping Du & Liliana Mitkova & Na Wang, 2020. "The Paths of Internationalization of Chinese Innovative Firms," Sustainability, MDPI, vol. 12(6), pages 1-27, March.
    21. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.

  14. Belsley, David A, 1974. "The t-Test and High-Order Serial Correlation: A Reply," The Review of Economics and Statistics, MIT Press, vol. 56(3), pages 417-418, August.

    Cited by:

    1. Robert Nash Parker, 1980. "Correlation In Time Series Regression," Sociological Methods & Research, , vol. 9(1), pages 99-114, August.

  15. Belsley, David A, 1973. "The Relative Power of the t-Test: A Furthering Comment," The Review of Economics and Statistics, MIT Press, vol. 55(1), pages 132-132, February.

    Cited by:

    1. Ali F. Darrat, 1985. "Inflation and Federal Budget Deficits: some Empirical Results," Public Finance Review, , vol. 13(2), pages 206-215, April.

  16. Belsley, David A, 1972. "Specification With Deflated Variables and Specious Spurious Correlation," Econometrica, Econometric Society, vol. 40(5), pages 923-927, September.

    Cited by:

    1. Kenneth A. Bollen & Sally Ward, 1979. "Ratio Variables in Aggregate Data Analysis," Sociological Methods & Research, , vol. 7(4), pages 431-450, May.
    2. Glenn Firebaugh & Jack P. Gibbs, 1986. "Using Ratio Variables to Control for Population Size," Sociological Methods & Research, , vol. 15(1-2), pages 101-117, November.
    3. Glenn Firebaugh, 1986. "Is the density-fertility relation a statistical artifact?: A reply to eric Jensen," Demography, Springer;Population Association of America (PAA), vol. 23(2), pages 285-289, May.
    4. Senyo Tse, 1989. "Attributes of industry, industry segment and firm†specific information in security valuation," Contemporary Accounting Research, John Wiley & Sons, vol. 5(2), pages 592-614, March.

  17. Franklin M. Fisher & Victor E. Ferrall, Jr. & David Belsley & Bridger M. Mitchell, 1966. "Community Antenna Television Systems and Local Television Station Audience," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 80(2), pages 227-251.

    Cited by:

    1. Paloyo, Alfredo R., 2011. "When Did We Begin to Spell ""Heteros*edasticity"" Correctly?," Ruhr Economic Papers 300, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.

Software components

    Sorry, no citations of software components recorded.

Chapters

  1. David A. Belsley, 1974. "Estimation of Systems of Simultaneous Equations, and Computational Specifications of GREMLIN," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 551-614, National Bureau of Economic Research, Inc.

    Cited by:

    1. David A. Belsley & Virginia Klema, 1974. "Detecting and Assessing the Problems Caused by Multi-Collinearity: A Useof the Singular-Value Decomposition," NBER Working Papers 0066, National Bureau of Economic Research, Inc.
    2. David A. Belsley, 1976. "Multicollinearity: Diagnosing its Presence and Assessing the Potential Damage It Causes Least Squares Estimation," NBER Working Papers 0154, National Bureau of Economic Research, Inc.
    3. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    4. Various, 1975. "Staff Reports on Research Under Way," NBER Chapters, in: Understanding Economic Change, pages 9-120, National Bureau of Economic Research, Inc.
    5. H. Myoken & Y. Uchida, 1977. "The generalized ridge estimator and improved adjustments for regression parameters," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 24(1), pages 113-124, December.

  2. David A. Belsley & Edwin Kuh, 1973. "Time-Varying Parameter Structures: An Overview," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 375-379, National Bureau of Economic Research, Inc.

    Cited by:

    1. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
    2. Fu, Zhonghao & Hong, Yongmiao & Su, Liangjun & Wang, Xia, 2023. "Specification tests for time-varying coefficient models," Journal of Econometrics, Elsevier, vol. 235(2), pages 720-744.
    3. Winston T. Lin, 1999. "Dynamic and Stochastic Instability and the Unbiased Forward Rate Hypothesis: A Variable Mean Response Approach," Multinational Finance Journal, Multinational Finance Journal, vol. 3(3), pages 173-221, September.
    4. Tucci, Marco P., 1995. "Time-varying parameters: a critical introduction," Structural Change and Economic Dynamics, Elsevier, vol. 6(2), pages 237-260, June.
    5. Lin, Winston T. & Chen, Yueh H. & Hung, TingShu, 2019. "A partial adjustment valuation approach with stochastic and dynamic speeds of partial adjustment to measuring and evaluating the business value of information technology," European Journal of Operational Research, Elsevier, vol. 272(2), pages 766-779.
    6. Winston T. Lin & Hong-Jen Lin & Yueh H. Chen, 2002. "The Dynamics and Stochastics of Currency Betas Based on the Unbiasedness Hypothesis in Foreign Exchange Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 6(3-4), pages 167-195, September.

  3. David A. Belsley, 1973. "On the Determination of Systematic Parameter Variation in the Linear Regression Model," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 487-494, National Bureau of Economic Research, Inc.

    Cited by:

    1. Li, Gang & Song, Haiyan & Witt, Stephen F., 2006. "Time varying parameter and fixed parameter linear AIDS: An application to tourism demand forecasting," International Journal of Forecasting, Elsevier, vol. 22(1), pages 57-71.
    2. Schweickert, Rainer, 1991. "Efficient real exchange rate adjustment in developing countries: alternative devaluation strategies, economic structure, and sequencing of reforms," Kiel Working Papers 473, Kiel Institute for the World Economy (IfW Kiel).
    3. Ward, Ronald W. & Tilley, Daniel S., 1980. "Time Varying Parameters with Random Components: The Orange Juice Industry," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 12(2), pages 5-13, December.
    4. Thomas F. Cooley & Kent D. Wall, 1976. "Identification Theory for Time Varying Models," NBER Working Papers 0127, National Bureau of Economic Research, Inc.
    5. David A. Belsley, 1973. "The Applicability of the Kalman Filter in the Determination of Systematic Parameter Variation," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 531-533, National Bureau of Economic Research, Inc.
    6. Drummond, Paulo, 1997. "Infrequent large nominal devaluations and their impact on the futures prices for freingn exchange in Brazil," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 51(2), April.
    7. Thomas F. Cooley & Kent D. Wall, 1975. "On the Identification of Time Varying Structures," NBER Working Papers 0085, National Bureau of Economic Research, Inc.

  4. David A. Belsley, 1973. "The Applicability of the Kalman Filter in the Determination of Systematic Parameter Variation," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 531-533, National Bureau of Economic Research, Inc.

    Cited by:

    1. Hui ‘Fox’ Ling & Douglas B. Stone, 2016. "Time-varying forecasts by variational approximation of sequential Bayesian inference," Quantitative Finance, Taylor & Francis Journals, vol. 16(1), pages 43-67, January.

  5. David A. Belsley, 1973. "A Test for Systematic Variation in Regression Coefficients," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 2, number 4, pages 495-499, National Bureau of Economic Research, Inc.

    Cited by:

    1. Philip Baird & Pinar Geylani & Jeffrey Roberts, 2012. "Corporate Social and Financial Performance Re-Examined: Industry Effects in a Linear Mixed Model Analysis," Journal of Business Ethics, Springer, vol. 109(3), pages 367-388, September.

Books

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ENE: Energy Economics (1) 2018-11-12
  2. NEP-REG: Regulation (1) 2018-11-12

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