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A computationally simple heteroskedasticity and serial correlation robust standard error for the linear regression model

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  • Wooldridge, Jeffrey M.

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  • Wooldridge, Jeffrey M., 1989. "A computationally simple heteroskedasticity and serial correlation robust standard error for the linear regression model," Economics Letters, Elsevier, vol. 31(3), pages 239-243, December.
    • Handle: RePEc:eee:ecolet:v:31:y:1989:i:3:p:239-243
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    Cited by:

    1. Dufour, Jean-Marie & Pelletier, Denis & Renault, Eric, 2006. "Short run and long run causality in time series: inference," Journal of Econometrics, Elsevier, vol. 132(2), pages 337-362, June.
    2. Bernanke, Ben S & Parkinson, Martin L, 1991. "Procyclical Labor Productivity and Competing Theories of the Business Cycle: Some Evidence from Interwar U.S. Manufacturing Industries," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 439-459, June.
    3. Naeem Tabassum & Satwinder Singh, 2020. "Corporate Governance and Organisational Performance," Springer Books, Springer, number 978-3-030-48527-6, June.
    4. Maxwell L. King & Sivagowry Sriananthakumar, 2015. "Point Optimal Testing: A Survey of the Post 1987 Literature," Monash Econometrics and Business Statistics Working Papers 5/15, Monash University, Department of Econometrics and Business Statistics.
    5. Wooldridge, J.M., 1990. "Regression-Based Inference In Linear Time Series Models With Incomplete Dynamics," Working papers 550, Massachusetts Institute of Technology (MIT), Department of Economics.
    6. Pedro M. Nogueira Reis, 2022. "Determinants of Qualified Investor Sentiment during the COVID-19 Pandemic in North America, Asia, and Europe," Economies, MDPI, vol. 10(6), pages 1-20, June.

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