IDEAS home Printed from https://ideas.repec.org/e/pbe154.html
   My authors  Follow this author

Paul M. Beaumont

Not to be confused with: Paul Beaumont

Personal Details

First Name:Paul
Middle Name:M.
Last Name:Beaumont
Suffix:
RePEc Short-ID:pbe154
[This author has chosen not to make the email address public]
http://myweb.fsu.edu/beaumont/
Paul Beaumont Florida State University Department of Economics 113 Collegiate Loop Office: 276 Bellamy P.O. Box 3062180 Tallahassee, FL 32306
Terminal Degree:1984 Department of Economics; University of Pennsylvania (from RePEc Genealogy)

Affiliation

Department of Economics
Florida State University

Tallahassee, Florida (United States)
http://www.fsu.edu/~economic/
RePEc:edi:defsuus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Beaumont, Paul & Smallwood, Aaron, 2019. "Conditional Sum of Squares Estimation of Multiple Frequency Long Memory Models," MPRA Paper 96314, University Library of Munich, Germany.
  2. Beaumont, Paul & Smallwood, Aaron, 2019. "Inference for likelihood-based estimators of generalized long-memory processes," MPRA Paper 96313, University Library of Munich, Germany.
  3. Paul Beaumont & Yaniv Jerassy-Etzion, 2011. "Computing maximally smooth forward rate curves for coupon bonds: An iterative piecewise quartic polynomial interpolation method," Working Papers wp2011_08_03, Department of Economics, Florida State University.
  4. Muffasir Badshah & Paul Beaumont & Anuj Srivastava, 2011. "Computing Equilibrium Wealth Distributions in Models with Heterogeneous-Agents, Incomplete Markets and Idiosyncratic Risk," Working Papers wp2011_08_02, Department of Economics, Florida State University.
  5. Gorkem Ozer & Paul Beaumont, 2005. "Noisy Earnings Reports and the Equity Premium," Computing in Economics and Finance 2005 389, Society for Computational Economics.
  6. Aaron D. Smallwood & Paul M. Beaumont, 2002. "An Asymptotic MLE Approach to Modelling Multiple Frequency GARMA Models," Computing in Economics and Finance 2002 285, Society for Computational Economics.
  7. Raji Ramachandran & Paul Beaumont, 1999. "Robust Estimation of GARMA Model Parameters and Application to Cointegration among Interest Rates of Industrialized Countries," Computing in Economics and Finance 1999 851, Society for Computational Economics.

Articles

  1. Thomas F. P. Wiesen & Paul M. Beaumont, 2024. "A joint impulse response function for vector autoregressive models," Empirical Economics, Springer, vol. 66(4), pages 1553-1585, April.
  2. Paul M. Beaumont & Aaron D. Smallwood, 2024. "Conditional sum of squares estimation of k-factor GARMA models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 501-543, September.
  3. Yu-Ying Tzeng & Paul M. Beaumont & Giray Ökten, 2018. "Time Series Simulation with Randomized Quasi-Monte Carlo Methods: An Application to Value at Risk and Expected Shortfall," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 55-77, June.
  4. Wiesen, Thomas F.P. & Beaumont, Paul M. & Norrbin, Stefan C. & Srivastava, Anuj, 2018. "Are generalized spillover indices overstating connectedness?," Economics Letters, Elsevier, vol. 173(C), pages 131-134.
  5. Muffasir Badshah & Paul Beaumont & Anuj Srivastava, 2013. "Computing Equilibrium Wealth Distributions in Models with Heterogeneous-Agents, Incomplete Markets and Idiosyncratic Risk," Computational Economics, Springer;Society for Computational Economics, vol. 41(2), pages 171-193, February.
  6. Paul Beaumont & Stefan Norrbin & F. Pinar Yigit, 2007. "Time series evidence on the linkage between the volatility and growth of output," Applied Economics Letters, Taylor & Francis Journals, vol. 15(1), pages 45-48.
  7. Ramachandran, Rajalakshmi & Beaumont, Paul, 2001. "Robust Estimation of GARMA Model Parameters with an Application to Cointegration among Interest Rates of Industrialized Countries," Computational Economics, Springer;Society for Computational Economics, vol. 17(2-3), pages 179-201, June.
  8. Beaumont, Paul M. & Walker, Robert T., 1996. "Land degradation and property regimes," Ecological Economics, Elsevier, vol. 18(1), pages 55-66, July.
  9. Beaumont, Paul M & Bradshaw, Patrick T, 1995. "A Distributed Parallel Genetic Algorithm for Solving Optimal Growth Models," Computational Economics, Springer;Society for Computational Economics, vol. 8(3), pages 159-179, August.
  10. Paul M. Beaumont, 1990. "Supply and Demand Interaction in Integrated Econometric and Input-Output Models," International Regional Science Review, , vol. 13(1-2), pages 167-181, April.
  11. Isserman, Andrew M. & Beaumont, Paul M., 1989. "New directions in quasi-experimental control group methods for project evaluation," Socio-Economic Planning Sciences, Elsevier, vol. 23(1-2), pages 39-53.
  12. Paul M. Beaumont, 1983. "Wage Rate Specfication in Regional and Interregional Econometric Models," International Regional Science Review, , vol. 8(1), pages 75-83, June.
  13. Beaumont, P & Prucha, I & Filatov, V, 1979. "Performance of the LINK System: 1970 versus 1975 Base Year Trade Share Matrix," Empirical Economics, Springer, vol. 4(1), pages 11-41.

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. Beaumont, Paul & Smallwood, Aaron, 2019. "Conditional Sum of Squares Estimation of Multiple Frequency Long Memory Models," MPRA Paper 96314, University Library of Munich, Germany.

    Cited by:

    1. Beaumont, Paul & Smallwood, Aaron, 2019. "Inference for likelihood-based estimators of generalized long-memory processes," MPRA Paper 96313, University Library of Munich, Germany.

  2. Beaumont, Paul & Smallwood, Aaron, 2019. "Inference for likelihood-based estimators of generalized long-memory processes," MPRA Paper 96313, University Library of Munich, Germany.

    Cited by:

    1. Beaumont, Paul & Smallwood, Aaron, 2019. "Conditional Sum of Squares Estimation of Multiple Frequency Long Memory Models," MPRA Paper 96314, University Library of Munich, Germany.

  3. Muffasir Badshah & Paul Beaumont & Anuj Srivastava, 2011. "Computing Equilibrium Wealth Distributions in Models with Heterogeneous-Agents, Incomplete Markets and Idiosyncratic Risk," Working Papers wp2011_08_02, Department of Economics, Florida State University.

    Cited by:

    1. Burkhard Heer & Alfred Maußner, 2024. "Dynamic General Equilibrium Modeling," Springer Texts in Business and Economics, Springer, edition 3, number 978-3-031-51681-8, October.

  4. Aaron D. Smallwood & Paul M. Beaumont, 2002. "An Asymptotic MLE Approach to Modelling Multiple Frequency GARMA Models," Computing in Economics and Finance 2002 285, Society for Computational Economics.

    Cited by:

    1. L.A. Gil-Alanaa, 2007. "Testing The Existence of Multiple Cycles in Financial and Economic Time Series," Annals of Economics and Finance, Society for AEF, vol. 8(1), pages 1-20, May.

Articles

  1. Yu-Ying Tzeng & Paul M. Beaumont & Giray Ökten, 2018. "Time Series Simulation with Randomized Quasi-Monte Carlo Methods: An Application to Value at Risk and Expected Shortfall," Computational Economics, Springer;Society for Computational Economics, vol. 52(1), pages 55-77, June.

    Cited by:

    1. Lu-Tao Zhao & Li-Na Liu & Zi-Jie Wang & Ling-Yun He, 2019. "Forecasting Oil Price Volatility in the Era of Big Data: A Text Mining for VaR Approach," Sustainability, MDPI, vol. 11(14), pages 1-20, July.
    2. Yingchao Zou & Kaijian He, 2022. "Forecasting Crude Oil Risk Using a Multivariate Multiscale Convolutional Neural Network Model," Mathematics, MDPI, vol. 10(14), pages 1-11, July.

  2. Wiesen, Thomas F.P. & Beaumont, Paul M. & Norrbin, Stefan C. & Srivastava, Anuj, 2018. "Are generalized spillover indices overstating connectedness?," Economics Letters, Elsevier, vol. 173(C), pages 131-134.

    Cited by:

    1. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020. "Spillover effects in oil-related CDS markets during and after the sub-prime crisis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Xu, Danyang & Hu, Yang & Corbet, Shaen & Hou, Yang (Greg) & Oxley, Les, 2024. "Green bonds and traditional and emerging investments: Understanding connectedness during crises," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    3. Stenfors, Alexis & Chatziantoniou, Ioannis & Gabauer, David, 2022. "Independent policy, dependent outcomes: A game of cross-country dominoes across European yield curves," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    4. Chatziantoniou, Ioannis & Gabauer, David & Gupta, Rangan, 2023. "Integration and risk transmission in the market for crude oil: New evidence from a time-varying parameter frequency connectedness approach," Resources Policy, Elsevier, vol. 84(C).
    5. Abakah, Emmanuel Joel Aikins & Brahim, Mariem & Carlotti, Jean-Etienne & Tiwari, Aviral Kumar & Mensi, Walid, 2024. "Extreme downside risk connectedness and portfolio hedging among the G10 currencies," International Economics, Elsevier, vol. 178(C).
    6. David Gabauer, 2020. "Volatility impulse response analysis for DCC‐GARCH models: The role of volatility transmission mechanisms," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 788-796, August.
    7. Lastrapes, William D. & Wiesen, Thomas F.P., 2021. "The joint spillover index," Economic Modelling, Elsevier, vol. 94(C), pages 681-691.
    8. Lilian Muchimba, 2022. "Connectedness of money market instruments: A time-varying vector autoregression approach," Working Papers in Economics & Finance 2022-07, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    9. Akyol, Sinem & Alatas, Bilal, 2020. "Sentiment classification within online social media using whale optimization algorithm and social impact theory based optimization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    10. Elie Bouri & Riza Demirer & David Gabauer & Rangan Gupta, 2020. "Sentiment and Financial Market Connectedness: The Role of Investor Happiness," Working Papers 202022, University of Pretoria, Department of Economics.
    11. Billah, Mabruk & Hadhri, Sinda & Balli, Faruk & Sahabuddin, Mohammad, 2024. "Exploring the dynamic links, implications for hedging and investment strategies between Sukuk and commodity market volatility: Evidence from country level analysis," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 350-371.
    12. Dang, Tam Hoang Nhat & Balli, Faruk & Balli, Hatice Ozer & Gabauer, David & Nguyen, Thi Thu Ha, 2024. "Sectoral uncertainty spillovers in emerging markets: A quantile time–frequency connectedness approach," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 121-139.
    13. Supanee Harnphattananusorn, 2024. "Spillover Effects between Oil, Gold, Stock, and Exchange Rate Returns in Thailand: An Extended Joint Connected TVP-VAR Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 14(5), pages 62-72, September.
    14. Umar, Zaghum & Adekoya, Oluwasegun Babatunde & Oliyide, Johnson Ayobami & Gubareva, Mariya, 2021. "Media sentiment and short stocks performance during a systemic crisis," International Review of Financial Analysis, Elsevier, vol. 78(C).
    15. Thomas F. P. Wiesen & Lakshya Bharadwaj, 2023. "Cryptocurrency Connectedness: Does Controlling for the Cross-Correlations Matter?," Applied Economics Letters, Taylor & Francis Journals, vol. 30(20), pages 2873-2880, November.
    16. Ioannis Chatziantoniou & David Gabauer & Hardik A. Marfatia, 2022. "Dynamic connectedness and spillovers across sectors: Evidence from the Indian stock market," Scottish Journal of Political Economy, Scottish Economic Society, vol. 69(3), pages 283-300, July.
    17. David Gabauer & Rangan Gupta & Hardik A. Marfatia & Stephen M. Miller, 2020. "Estimating U.S. Housing Price Network Connectedness: Evidence from Dynamic Elastic Net, Lasso, and Ridge Vector Autoregressive Models," Working Papers 202065, University of Pretoria, Department of Economics.
    18. Banerjee, Ameet Kumar & Pradhan, H.K. & Sensoy, Ahmet & Goodell, John W., 2024. "Assessing the US financial sector post three bank collapses: Signals from fintech and financial sector ETFs," International Review of Financial Analysis, Elsevier, vol. 91(C).
    19. Chen, Ruoyu & Iqbal, Najaf & Irfan, Muhammad & Shahzad, Farrukh & Fareed, Zeeshan, 2022. "Does financial stress wreak havoc on banking, insurance, oil, and gold markets? New empirics from the extended joint connectedness of TVP-VAR model," Resources Policy, Elsevier, vol. 77(C).
    20. Keagile Lesame & Elie Bouri & David Gabauer & Rangan Gupta, 2021. "On the Dynamics of International Real Estate Investment Trust Propagation Mechanisms: Evidence from Time-Varying Return and Volatility Connectedness Measures," Working Papers 202152, University of Pretoria, Department of Economics.
    21. Tang, Chun & Yang, Guangyi & Liu, Xiaoxing, 2024. "Risk spillover within the carbon-energy system – New evidence considering China's national carbon market," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1227-1240.
    22. Ioannis Chatziantoniou & David Gabauer & Rangan Gupta, 2021. "Integration and Risk Transmission in the Market for Crude Oil: A Time-Varying Parameter Frequency Connectedness Approach," Working Papers 202147, University of Pretoria, Department of Economics.
    23. Ioannis Chatziantoniou & David Gabauer & Alexis Stenfors, 2019. "From CIP-Deviations to a Market for Risk Premia: A Dynamic Investigation of Cross-Currency Basis Swaps," Working Papers in Economics & Finance 2019-05, University of Portsmouth, Portsmouth Business School, Economics and Finance Subject Group.
    24. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    25. Shahbaz, Muhammad & Sheikh, Umaid A. & Tabash, Mosab I. & Jiao, Zhilun, 2024. "Shock transmission between climate policy uncertainty, financial stress indicators, oil price uncertainty and industrial metal volatility: Identifying moderators, hedgers and shock transmitters," Energy Economics, Elsevier, vol. 136(C).
    26. Thomas F. P. Wiesen & Todd Gabe & Lakshya Bharadwaj, 2023. "Econometric connectedness as a measure of urban influence: evidence from Maine," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-16, December.

  3. Muffasir Badshah & Paul Beaumont & Anuj Srivastava, 2013. "Computing Equilibrium Wealth Distributions in Models with Heterogeneous-Agents, Incomplete Markets and Idiosyncratic Risk," Computational Economics, Springer;Society for Computational Economics, vol. 41(2), pages 171-193, February.
    See citations under working paper version above.
  4. Paul Beaumont & Stefan Norrbin & F. Pinar Yigit, 2007. "Time series evidence on the linkage between the volatility and growth of output," Applied Economics Letters, Taylor & Francis Journals, vol. 15(1), pages 45-48.

    Cited by:

    1. Balaji Bathmanaban & Raja Sethu Durai S & Ramachandran M, 2017. "The relationship between Output Uncertainty and Economic Growth-Evidence from India," Economics Bulletin, AccessEcon, vol. 37(4), pages 2680-2691.
    2. Christoph Priesmeier & Nikolai Stähler, 2011. "Long Dark Shadows Or Innovative Spirits? The Effects Of (Smoothing) Business Cycles On Economic Growth: A Survey Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 25(5), pages 898-912, December.
    3. Kushal Banik Chowdhury & Nityananda Sarkar, 2019. "Regime Dependent Effect Of Output Growth On Output Growth Uncertainty: Evidence From Oecd Countries," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 257-282, July.
    4. Kushal Banik Chowdhury & Srikanta Kundu & Nityananda Sarkar, 2018. "Regime‐dependent effects of uncertainty on inflation and output growth: evidence from the United Kingdom and the United States," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(4), pages 390-413, September.
    5. Dimitrios Bakas & Georgios Chortareas & Georgios Magkonis, 2019. "Volatility and growth: a not so straightforward relationship," Oxford Economic Papers, Oxford University Press, vol. 71(4), pages 874-907.
    6. Jiranyakul, Komain, 2011. "The Link between Output Growth and Output Volatility in Five Crisis-Affected Asian Countries," MPRA Paper 46068, University Library of Munich, Germany.
    7. Olaf Posch & Klaus Wälde, 2011. "On the link between volatility and growth," Journal of Economic Growth, Springer, vol. 16(4), pages 285-308, December.

  5. Ramachandran, Rajalakshmi & Beaumont, Paul, 2001. "Robust Estimation of GARMA Model Parameters with an Application to Cointegration among Interest Rates of Industrialized Countries," Computational Economics, Springer;Society for Computational Economics, vol. 17(2-3), pages 179-201, June.

    Cited by:

    1. Paul M. Beaumont & Aaron D. Smallwood, 2024. "Conditional sum of squares estimation of k-factor GARMA models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 501-543, September.
    2. José M. Belbute & Alfredo Marvão Pereira, 2015. "Does Final Energy Demand in Portugal Exhibit Long Memory? A Fractional Integration Analysis," Working Papers 163, Department of Economics, College of William and Mary.
    3. Manabu Asai & Shelton Peiris & Michael McAleer & David E. Allen, 2018. "Cointegrated Dynamics for A Generalized Long Memory Process: An Application to Interest Rates," Documentos de Trabajo del ICAE 2018-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    4. Beaumont, Paul & Smallwood, Aaron, 2019. "Inference for likelihood-based estimators of generalized long-memory processes," MPRA Paper 96313, University Library of Munich, Germany.
    5. Aaron D. Smallwood & Stefan C. Norrbin, 2006. "Generalized long memory processes, failure of cointegration tests and exchange rate dynamics," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(4), pages 409-417, May.
    6. Asai, M. & Peiris, S. & McAleer, M.J. & Allen, D.E., 2018. "Cointegrated Dynamics for A Generalized Long Memory Process," Econometric Institute Research Papers EI 2018-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Dissanayake, G.S. & Peiris, M.S. & Proietti, T., 2016. "State space modeling of Gegenbauer processes with long memory," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 115-130.
    8. Beaumont, Paul & Smallwood, Aaron, 2019. "Conditional Sum of Squares Estimation of Multiple Frequency Long Memory Models," MPRA Paper 96314, University Library of Munich, Germany.

  6. Beaumont, Paul M. & Walker, Robert T., 1996. "Land degradation and property regimes," Ecological Economics, Elsevier, vol. 18(1), pages 55-66, July.

    Cited by:

    1. Maria Winkler-Dworak, 2003. "Food Security, Fertility Differentials and Land Degradation in Sub-Saharan Africa: A Dynamic Framework," VID Working Papers 0301, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna.
    2. Vitale, Jeffrey D. & Lee, John G., 2005. "Land Degradation in the Sahel: An Application of Biophysical Modeling in the Optimal Control Setting," 2005 Annual meeting, July 24-27, Providence, RI 19494, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Maria Winkler-Dworak, 2004. "Food Security, Fertility Differentials and Land Degradation in Sub-Saharan Africa: A Dynamic Framework," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 2(1), pages 227-252.
    4. Marco Maialetti & Matteo Clemente & Kostas Rontos & Donato Scarpitta & Alessandra Stefanoni & Fabrizio Rossi & Adele Sateriano & Luca Salvati, 2024. "Climate-Driven vs Human-Driven Land Degradation? The Role of Urbanization and Agricultural Intensification in Italy, 1960–2030," Sustainability, MDPI, vol. 16(20), pages 1-17, October.
    5. Gianluca Egidi & Luca Salvati & Pavel Cudlin & Rosanna Salvia & Manuela Romagnoli, 2020. "A New ‘Lexicon’ of Land Degradation: Toward a Holistic Thinking for Complex Socioeconomic Issues," Sustainability, MDPI, vol. 12(10), pages 1-19, May.
    6. Rares Halbac-Cotoara-Zamfir & Andrea Colantoni & Enrico Maria Mosconi & Stefano Poponi & Simona Fortunati & Luca Salvati & Filippo Gambella, 2020. "From Historical Narratives to Circular Economy: De-Complexifying the “Desertification” Debate," IJERPH, MDPI, vol. 17(15), pages 1-18, July.
    7. Prskawetz, Alexia & Winkler-Dworak, Maria & Feichtinger, Gustav, 2003. "Production, distribution and insecurity of food: a dynamic framework," Structural Change and Economic Dynamics, Elsevier, vol. 14(3), pages 317-337, September.
    8. Rares Halbac-Cotoara-Zamfir & Daniela Smiraglia & Giovanni Quaranta & Rosanna Salvia & Luca Salvati & Antonio Giménez-Morera, 2020. "Land Degradation and Mitigation Policies in the Mediterranean Region: A Brief Commentary," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    9. Clayton, Helena & Brennan, Donna C., 2003. "The economics of land degradation and technological change: a case study in Vietnam," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57845, Australian Agricultural and Resource Economics Society.
    10. Simmons, Cynthia S., 1997. "Forest management practices in the Bayano region of Panama: Cultural variations," World Development, Elsevier, vol. 25(6), pages 989-1000, June.

  7. Beaumont, Paul M & Bradshaw, Patrick T, 1995. "A Distributed Parallel Genetic Algorithm for Solving Optimal Growth Models," Computational Economics, Springer;Society for Computational Economics, vol. 8(3), pages 159-179, August.

    Cited by:

    1. Paul McNelis & John Duffy, 1998. "Approximating and Simulating the Stochastic Growth Model: Parameterized Expectations, Neural Networks, and the Genetic Algorithm," GE, Growth, Math methods 9804004, University Library of Munich, Germany, revised 14 May 1998.
    2. Donghoon Lee & Matthew Wiswall, 2007. "A Parallel Implementation of the Simplex Function Minimization Routine," Computational Economics, Springer;Society for Computational Economics, vol. 30(2), pages 171-187, September.
    3. Beaumont, Paul M. & Walker, Robert T., 1996. "Land degradation and property regimes," Ecological Economics, Elsevier, vol. 18(1), pages 55-66, July.
    4. Clemens, Christiane & Riechmann, Thomas, 1996. "Evolutionäre Optimierungsverfahren und ihr Einsatz in der ökonomischen Forschung," Hannover Economic Papers (HEP) dp-195, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Michael Creel & William Goffe, 2008. "Multi-core CPUs, Clusters, and Grid Computing: A Tutorial," Computational Economics, Springer;Society for Computational Economics, vol. 32(4), pages 353-382, November.
    6. Ostermark, Ralf, 2004. "A multipurpose parallel genetic hybrid algorithm for non-linear non-convex programming problems," European Journal of Operational Research, Elsevier, vol. 152(1), pages 195-214, January.
    7. Kyle Klein & Julian Neira, 2014. "Nelder-Mead Simplex Optimization Routine for Large-Scale Problems: A Distributed Memory Implementation," Computational Economics, Springer;Society for Computational Economics, vol. 43(4), pages 447-461, April.

  8. Paul M. Beaumont, 1990. "Supply and Demand Interaction in Integrated Econometric and Input-Output Models," International Regional Science Review, , vol. 13(1-2), pages 167-181, April.

    Cited by:

    1. Shields, Martin & Deller, Steven C. & Stallmann, Judith I., 2001. "Comparing The Impacts Of Retiree Versus Working-Age Families On A Small Rural Region: An Application Of The Wisconsin Economic Impact Modeling System," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 30(1), pages 1-12, April.
    2. Paul B. Siegel & Jeffrey Alwang & Thomas G. Johnson, 1995. "Decomposing Sources of Regional Growth with an Input-output Model: A Framework for Policy Analysis," International Regional Science Review, , vol. 18(3), pages 331-353, July.
    3. JunHo Yeo & David Holland, 2004. "Economic Growth in Washington: An Examination of Migration Response and a Test of Model Accuracy," International Regional Science Review, , vol. 27(2), pages 205-237, April.
    4. L van der Laan, 1996. "A Review of Regional Labour Supply and Demand Forecasting in the European Union," Environment and Planning A, , vol. 28(12), pages 2105-2123, December.
    5. Fernando Perobelli & Rogério Silva de Mattos & Eduardo Amaral Haddad & Marcos Paulo Novaes Silva, 2007. "An integrated econometric + input-output model for the Brazilian economy: an application to the energy sector," EcoMod2007 23900065, EcoMod.
    6. Ashkan Masouman & Charles Harvie, 2020. "Forecasting, impact analysis and uncertainty propagation in regional integrated models: A case study of Australia," Environment and Planning B, , vol. 47(1), pages 65-83, January.
    7. Sergio J. Rey, 1998. "The Performance of Alternative Integration Strategies for Combining Regional Econometric and Input-Output Models," International Regional Science Review, , vol. 21(1), pages 1-35, April.

  9. Isserman, Andrew M. & Beaumont, Paul M., 1989. "New directions in quasi-experimental control group methods for project evaluation," Socio-Economic Planning Sciences, Elsevier, vol. 23(1-2), pages 39-53.

    Cited by:

    1. Markusen, Ann, 2007. "A Consumption Base Theory of Development: An Application to the Rural Cultural Economy," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 36(1), pages 1-15, April.
    2. Ann Markusen, 2001. "Continuity and Change in Regional Planning and Policy: Scholarship in the Style of William Alonso," International Regional Science Review, , vol. 24(3), pages 396-404, July.
    3. Ann Markusen, 2003. "Fuzzy Concepts, Scanty Evidence, Policy Distance: The Case for Rigour and Policy Relevance in Critical Regional Studies," Regional Studies, Taylor & Francis Journals, vol. 37(6-7), pages 701-717.
    4. Terance J Rephann, 2000. "The Economic Impacts of LULUs," Environment and Planning C, , vol. 18(4), pages 393-407, August.
    5. Marlon G. Boarnet, 2001. "Enterprise Zones and Job Creation: Linking Evaluation and Practice," Economic Development Quarterly, , vol. 15(3), pages 242-254, August.
    6. Yu Xiao, 2011. "Local Economic Impacts Of Natural Disasters," Journal of Regional Science, Wiley Blackwell, vol. 51(4), pages 804-820, October.
    7. Juan-Tomás Sayago-Gomez & Gianfranco Piras & Randall Jackson & Donald Lacombe, 2018. "Impact Evaluation of Investments in the Appalachian Region," International Regional Science Review, , vol. 41(6), pages 601-629, November.
    8. Carol T. West & David G. Lenze, 1994. "Modeling the Regional Impact of Natural Disaster and Recovery: A General Framework and an Application to Hurricane Andrew," International Regional Science Review, , vol. 17(2), pages 121-150, August.
    9. Juan Tomas Sayago-Gomez & Gianfranco Piras & Donald Lacombe & Randall Jackson, 2015. "Impact Evaluation of Investments in the Appalachian Region: A Reappraisal," Working Papers Working Paper 2015-06, Regional Research Institute, West Virginia University.
    10. Ann Markusen, 2015. "Problem-driven Research in Regional Science," International Regional Science Review, , vol. 38(1), pages 3-29, January.
    11. Edward Feser, 2013. "Isserman’s Impact," International Regional Science Review, , vol. 36(1), pages 44-68, January.
    12. David Sorenson & Peter Stenberg, 2015. "The Effect of Military Base Closures on Rural County Economies: An Evaluation of the 1988–1995 Rounds of Cuts," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 21(2), pages 167-187, May.
    13. Ann Markusen, 1995. "Growing Pains: Thoughts on Theory, Method, and Politics for a Regional Science of the Future," International Regional Science Review, , vol. 17(3), pages 319-326, July.

  10. Paul M. Beaumont, 1983. "Wage Rate Specfication in Regional and Interregional Econometric Models," International Regional Science Review, , vol. 8(1), pages 75-83, June.

    Cited by:

    1. James P. Lesage & J. David Reed, 1989. "Interregional Wage Transmission in an Urban Hierarchy: Tests Using Vector Autoregressive Models," International Regional Science Review, , vol. 12(3), pages 305-318, December.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

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 5 papers 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-ECM: Econometrics (3) 2003-10-20 2019-10-14 2019-10-21
  2. NEP-ETS: Econometric Time Series (3) 2003-10-20 2019-10-14 2019-10-21
  3. NEP-ORE: Operations Research (3) 2011-09-16 2019-10-14 2019-10-21
  4. NEP-CMP: Computational Economics (2) 2011-09-16 2011-09-16
  5. NEP-CBA: Central Banking (1) 2011-09-16
  6. NEP-DGE: Dynamic General Equilibrium (1) 2011-09-16

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Paul M. Beaumont should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.