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Laura K. Brown

Personal Details

First Name:Laura
Middle Name:K.
Last Name:Brown
Suffix:
RePEc Short-ID:pbr74
http://www.umanitoba.ca/faculties/arts/departments/economics/faculty/Laura_Brown.html
Terminal Degree: Economics Department; Queen's University (from RePEc Genealogy)

Affiliation

Economics Department
University of Manitoba

Winnipeg, Canada
http://umanitoba.ca/faculties/arts/departments/economics/
RePEc:edi:edumbca (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Laura K. Brown & Elizabeth Troutt, 2018. "A re-analysis of the trade and welfare effects of export subsidies," Applied Economics Letters, Taylor & Francis Journals, vol. 25(6), pages 420-424, March.
  2. Laura K. Brown & Elizabeth Troutt, 2017. "Sex and Salaries at a Canadian University: The Song Remains the Same or the Times They Are a Changin'?," Canadian Public Policy, University of Toronto Press, vol. 43(3), pages 246-260, September.
  3. Laura K. Brown & Elizabeth Troutt & Susan Prentice, 2011. "Ten Years After: Sex and Salaries at a Canadian University," Canadian Public Policy, University of Toronto Press, vol. 37(2), pages 239-255, June.
  4. Laura Brown & Saeed Moshiri, 2004. "Unemployment variation over the business cycles: a comparison of forecasting models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(7), pages 497-511.
  5. Laura Brown & Christopher Ferrall, 2003. "Unemployment insurance and the business cycle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(3), pages 863-894, August.

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.

Articles

  1. Laura K. Brown & Elizabeth Troutt & Susan Prentice, 2011. "Ten Years After: Sex and Salaries at a Canadian University," Canadian Public Policy, University of Toronto Press, vol. 37(2), pages 239-255, June.

    Cited by:

    1. Tom Buchanan & Adian McFarlane & Anupam Das, 2018. "Educational Attainment and the Gender Gap in Childcare in Canada: A Decomposition Analysis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 12(4), pages 458-476, November.
    2. Fourrier-Nicolaï Edwin & Lubrano Michel, 2024. "Bayesian inference for non-anonymous growth incidence curves using Bernstein polynomials: an application to academic wage dynamics," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 28(2), pages 319-336, April.

  2. Laura Brown & Saeed Moshiri, 2004. "Unemployment variation over the business cycles: a comparison of forecasting models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 23(7), pages 497-511.

    Cited by:

    1. Raquel M. Gaspar & Sara D. Lopes & Bernardo Sequeira, 2020. "Neural Network pricing of American put options," Working Papers REM 2020/0122, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    2. S. Madhumitha & Anubhab Pattanayak & K.S. Kavi Kumar, 2021. "Crop Diversity and Resilience to Droughts: Evidence from Indian Agriculture," Working Papers 2021-206, Madras School of Economics,Chennai,India.
    3. Andreas Karatahansopoulos & Georgios Sermpinis & Jason Laws & Christian Dunis, 2014. "Modelling and Trading the Greek Stock Market with Gene Expression and Genetic Programing Algorithms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(8), pages 596-610, December.
    4. Charalampos Stasinakis & Georgios Sermpinis & Konstantinos Theofilatos & Andreas Karathanasopoulos, 2016. "Forecasting US Unemployment with Radial Basis Neural Networks, Kalman Filters and Support Vector Regressions," Computational Economics, Springer;Society for Computational Economics, vol. 47(4), pages 569-587, April.
    5. Chen, Chun-I, 2008. "Application of the novel nonlinear grey Bernoulli model for forecasting unemployment rate," Chaos, Solitons & Fractals, Elsevier, vol. 37(1), pages 278-287.
    6. Barnichon, Regis & Garda, Paula, 2015. "Forecasting Unemployment across Countries: the Ins and Outs," CEPR Discussion Papers 10910, C.E.P.R. Discussion Papers.
    7. Ullrich Heilemann & Herman Stekler, 2010. "Perspectives on Evaluating Macroeconomic Forecasts," Working Papers 2010-002, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    8. John Galbraith & Greg Tkacz, 2007. "How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables," Staff Working Papers 07-1, Bank of Canada.
    9. Tanujit Chakraborty & Ashis Kumar Chakraborty & Munmun Biswas & Sayak Banerjee & Shramana Bhattacharya, 2021. "Unemployment Rate Forecasting: A Hybrid Approach," Computational Economics, Springer;Society for Computational Economics, vol. 57(1), pages 183-201, January.
    10. Elena Olmedo, 2014. "Forecasting Spanish Unemployment Using Near Neighbour and Neural Net Techniques," Computational Economics, Springer;Society for Computational Economics, vol. 43(2), pages 183-197, February.
    11. Mehmet Güler & Ayşıl Kabakçı & Ömer Koç & Ersin Eraslan & K. Hakan Derin & Mustafa Güler & Ramazan Ünlü & Yusuf Sait Türkan & Ersin Namlı, 2024. "Forecasting of the Unemployment Rate in Turkey: Comparison of the Machine Learning Models," Sustainability, MDPI, vol. 16(15), pages 1-17, July.
    12. Regis Barnichon & Christopher J. Nekarda, 2012. "The Ins and Outs of Forecasting Unemployment: Using Labor Force Flows to Forecast the Labor Market," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 83-131.
    13. Adriana AnaMaria Davidescu & Simona-Andreea Apostu & Liviu Adrian Stoica, 2021. "Socioeconomic Effects of COVID-19 Pandemic: Exploring Uncertainty in the Forecast of the Romanian Unemployment Rate for the Period 2020–2023," Sustainability, MDPI, vol. 13(13), pages 1-22, June.
    14. Muneeb Ahmad & Yousaf Ali Khan & Chonghui Jiang & Syed Jawad Haider Kazmi & Syed Zaheer Abbas, 2023. "The impact of COVID‐19 on unemployment rate: An intelligent based unemployment rate prediction in selected countries of Europe," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(1), pages 528-543, January.
    15. Michael H. Breitner & Christian Dunis & Hans-Jörg Mettenheim & Christopher Neely & Georgios Sermpinis & Georgios Sermpinis & Charalampos Stasinakis & Konstantinos Theofilatos & Andreas Karathanasopoul, 2014. "Inflation and Unemployment Forecasting with Genetic Support Vector Regression," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 33(6), pages 471-487, September.
    16. Francisco Lasso-Valderrama & Héctor M. Zárate-Solano, 2019. "Forecasting the Colombian Unemployment Rate Using Labour Force Flows," Borradores de Economia 1073, Banco de la Republica de Colombia.

  3. Laura Brown & Christopher Ferrall, 2003. "Unemployment insurance and the business cycle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(3), pages 863-894, August.

    Cited by:

    1. Miquel Faig & Min Zhang, 2012. "Labor Market Cycles, Unemployment Insurance Eligibility, and Moral Hazard," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(1), pages 41-56, January.
    2. Rodrigo Cerda & Rodrigo Vergara, 2005. "Unemployment Insurance in Chile: Does it Stabilize the Business Cycle?," Documentos de Trabajo 302, Instituto de Economia. Pontificia Universidad Católica de Chile..
    3. Miquel Faig & Min Zhang, 2010. "Labor Market Cycles and Unemployment Insurance Eligibility," Working Papers tecipa-404, University of Toronto, Department of Economics.
    4. Robert E. Hall & Marianna Kudlyak, 2021. "The Unemployed with Jobs and without Jobs," Working Paper Series 2021-17, Federal Reserve Bank of San Francisco.

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Co-authorship network on CollEc

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  1. Queen's Economics Department PhD Graduates

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