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Saeed Moshiri

Personal Details

First Name:Saeed
Middle Name:
Last Name:Moshiri
Suffix:
RePEc Short-ID:pmo26
222 STM College 1437 College Drive University of Saskatchewan Saskatoon, Saskatchewan S7N 0W6 (306)966 8913

Affiliation

(57%) Department of Economics
St. Thomas More College
University of Saskatchewan

Saskatoon, Canada
http://stmcollege.ca/study-here/programs-and-departments/economics.php

: (306)966-8900
(306)966-8904

RePEc:edi:stuskca (more details at EDIRC)

(33%) Department of Economics
University of Saskatchewan

Saskatoon, Canada
http://www.arts.usask.ca/economics/

: (306) 966-5197
(306) 966-5232
Arts 819, 9 Campus Drive, Saskatoon, SA, S7N 5A5
RePEc:edi:deuskca (more details at EDIRC)

(10%) Faculty of Economics
Allameh Tabataba'i University

Tehran, Iran
http://economics.atu.ac.ir/

: (9821)87254001
(9821)8726388
Shahid Beheshti Ave. Tehran, 15134
RePEc:edi:featuir (more details at EDIRC)

Research output

as
Jump to: Articles Books

Articles

  1. Moshiri, Saeed & Aliyev, Kamil, 2017. "Rebound effect of efficiency improvement in passenger cars on gasoline consumption in Canada," Ecological Economics, Elsevier, vol. 131(C), pages 330-341.
  2. Saeed Moshiri and Nana Duah, 2016. "Changes in Energy Intensity in Canada," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
  3. Moshiri, Saeed, 2015. "The effects of the energy price reform on households consumption in Iran," Energy Policy, Elsevier, vol. 79(C), pages 177-188.
  4. Saeed Moshiri, 2015. "Asymmetric effects of oil price shocks in oil-exporting countries: the role of institutions," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 39(2), pages 222-246, June.
  5. Saeed Moshiri & Wayne Simpson, 2011. "Information technology and the changing workplace in Canada: firm-level evidence," Industrial and Corporate Change, Oxford University Press, vol. 20(6), pages 1601-1636, December.
  6. Saeed Moshiri & Farhad Malaki, 2011. "Testing For Efficiency Wages in Iran," Iranian Economic Review, Economics faculty of Tehran university, vol. 16(1), pages 53-71, winter.
  7. Abdella Abdou & Saeed Moshiri, 2009. "Privatization and capital formation in developing countries: an empirical analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 23(5), pages 557-575.
  8. Saeed Moshiri & Forough Seifi, 2008. "Nonlinearity in Exchange Rates and Forecasting," Iranian Economic Review, Economics faculty of Tehran university, vol. 13(1), pages 83-105, spring.
  9. Sepehri, Ardeshir & Sarma, Sisira & Simpson, Wayne & Moshiri, Saeed, 2008. "How important are individual, household and commune characteristics in explaining utilization of maternal health services in Vietnam?," Social Science & Medicine, Elsevier, vol. 67(6), pages 1009-1017, September.
  10. Saeed Moshiri & Esfandiar Jahangard, 2007. "ICT Impact on the Labor Productivity in the Iranian Manufacturing Industries; a Multilevel Analysis," Iranian Economic Review, Economics faculty of Tehran university, vol. 12(1), pages 121-142, winter.
  11. Saeed Moshiri & Faezeh Foroutan, 2006. "Forecasting Nonlinear Crude Oil Futures Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 81-96.
  12. 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.
  13. Ardeshir Sepehri & Saeed Moshiri, 2004. "Inflation-Growth Profiles Across Countries: Evidence from Developing and Developed Countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 18(2), pages 191-207.
  14. A. Sepehri & S. Moshiri & M. Doudongee, 2000. "The Foreign Exchange Constraints to Economic Adjustment: The case of Iran," International Review of Applied Economics, Taylor & Francis Journals, vol. 14(2), pages 235-251.
  15. Moshiri, Saeed & Cameron, Norman E & Scuse, David, 1999. "Static, Dynamic, and Hybrid Neural Networks in Forecasting Inflation," Computational Economics, Springer;Society for Computational Economics, vol. 14(3), pages 219-235, December.
  16. Moshiri, Saeed, 1999. "Producing Quality Graphs with Econometrics and Statistics Software," Economic Journal, Royal Economic Society, vol. 109(459), pages 756-771, November.

Books

  1. Moshiri, Saeed & Lechtenböhmer, Stefan (ed.), 2015. "Sustainable energy strategy for Iran," Wuppertal Spezial, Wuppertal Institute for Climate, Environment and Energy, volume 51, number 51.

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.

Wikipedia mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Ardeshir Sepehri & Saeed Moshiri, 2004. "Inflation-Growth Profiles Across Countries: Evidence from Developing and Developed Countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 18(2), pages 191-207.

    Mentioned in:

    1. Antas ng interes in Wikipedia (Tagalog)
    2. Lãi suất in Wikipedia (Vietnamese)

Articles

  1. Moshiri, Saeed & Aliyev, Kamil, 2017. "Rebound effect of efficiency improvement in passenger cars on gasoline consumption in Canada," Ecological Economics, Elsevier, vol. 131(C), pages 330-341.

    Cited by:

    1. Spiller, Elisheba & Stephens, Heather M. & Chen, Yong, 2017. "Understanding the heterogeneous effects of gasoline taxes across income and location," Resource and Energy Economics, Elsevier, vol. 50(C), pages 74-90.
    2. Rivers, Nicholas & Schaufele, Brandon, 2017. "Gasoline price and new vehicle fuel efficiency: Evidence from Canada," Energy Economics, Elsevier, vol. 68(C), pages 454-465.
    3. Qiang Du & Yi Li & Libiao Bai, 2017. "The Energy Rebound Effect for the Construction Industry: Empirical Evidence from China," Sustainability, MDPI, Open Access Journal, vol. 9(5), pages 1-11, May.
    4. Jihye Byun & Sungjin Park & Kitae Jang, 2017. "Rebound Effect or Induced Demand? Analyzing the Compound Dual Effects on VMT in the U.S," Sustainability, MDPI, Open Access Journal, vol. 9(2), pages 1-10, February.
    5. Moshiri, Saeed & Martinez Santillan, Miguel Alfonso, 2018. "The welfare effects of energy price changes due to energy market reform in Mexico," Energy Policy, Elsevier, vol. 113(C), pages 663-672.
    6. Danny Harvey, L.D., 2017. "Implications for the floor price of oil of aggressive climate policies," Energy Policy, Elsevier, vol. 108(C), pages 143-153.

  2. Moshiri, Saeed, 2015. "The effects of the energy price reform on households consumption in Iran," Energy Policy, Elsevier, vol. 79(C), pages 177-188.

    Cited by:

    1. Breton, Michèle & Mirzapour, Hossein, 2016. "Welfare implication of reforming energy consumption subsidies," Energy Policy, Elsevier, vol. 98(C), pages 232-240.
    2. Groissböck, Markus & Pickl, Matthias J., 2018. "Fuel-price reform to achieve climate and energy policy goals in Saudi Arabia: A multiple-scenario analysis," Utilities Policy, Elsevier, vol. 50(C), pages 1-12.
    3. Nie, Pu-yan & Yang, Yong-cong, 2016. "Effects of energy price fluctuations on industries with energy inputs: An application to China," Applied Energy, Elsevier, vol. 165(C), pages 329-334.
    4. Sebestyénné Szép, Tekla, 2018. "A hatósági árcsökkentés lakossági energiafelhasználásra gyakorolt hatásának vizsgálata indexdekompozícióval
      [Analysing the effects of utility-cost reduction on household energy consumption, using i
      ," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 185-205.
    5. Acharya, Rajesh H. & Sadath, Anver C., 2017. "Implications of energy subsidy reform in India," Energy Policy, Elsevier, vol. 102(C), pages 453-462.
    6. Moshiri, Saeed & Martinez Santillan, Miguel Alfonso, 2018. "The welfare effects of energy price changes due to energy market reform in Mexico," Energy Policy, Elsevier, vol. 113(C), pages 663-672.
    7. Tofigh, Ali.A. & Abedian, Maryam, 2016. "Analysis of energy status in Iran for designing sustainable energy roadmap," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1296-1306.
    8. Dennis, Allen, 2016. "Household welfare implications of fossil fuel subsidy reforms in developing countries," Energy Policy, Elsevier, vol. 96(C), pages 597-606.
    9. Saari, M. Yusof & Dietzenbacher, Erik & Los, Bart, 2016. "The impacts of petroleum price fluctuations on income distribution across ethnic groups in Malaysia," Ecological Economics, Elsevier, vol. 130(C), pages 25-36.
    10. Mousavi, Babak & Lopez, Neil Stephen A. & Biona, Jose Bienvenido Manuel & Chiu, Anthony S.F. & Blesl, Markus, 2017. "Driving forces of Iran's CO2 emissions from energy consumption: An LMDI decomposition approach," Applied Energy, Elsevier, vol. 206(C), pages 804-814.
    11. Moshiri, Saeed & Lechtenböhmer, Stefan (ed.), 2015. "Sustainable energy strategy for Iran," Wuppertal Spezial, Wuppertal Institute for Climate, Environment and Energy, volume 51, number 51.

  3. Saeed Moshiri, 2015. "Asymmetric effects of oil price shocks in oil-exporting countries: the role of institutions," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 39(2), pages 222-246, June.

    Cited by:

    1. Imran Shah, 2012. "Revisiting the Dynamic Effects of Oil Price Shock on Small Developing Economies," Bristol Economics Discussion Papers 12/626, Department of Economics, University of Bristol, UK.
    2. Heidorn, Thomas & Van Huellen, Sophie & Ruehl, C. & Woebbeking, F., 2017. "The long- and short-run impact of oil price changes on major global economies," Frankfurt School - Working Paper Series 225, Frankfurt School of Finance and Management.
    3. LAOURARI, Imène & GASMI, Farid, 2016. "The impact of real oil revenues fluctuations on economic growth in Algeria: evidence from 1960-2015 data," MPRA Paper 77590, University Library of Munich, Germany.

  4. Saeed Moshiri & Wayne Simpson, 2011. "Information technology and the changing workplace in Canada: firm-level evidence," Industrial and Corporate Change, Oxford University Press, vol. 20(6), pages 1601-1636, December.

    Cited by:

    1. Sandulli, Francesco D. & Baker, Paul M.A. & López-Sánchez, José I., 2013. "Can small and medium enterprises benefit from skill-biased technological change?," Journal of Business Research, Elsevier, vol. 66(10), pages 1976-1982.
    2. Spyros Arvanitis & Euripidis N. Loukis & Vasiliki Diamantopoulou, 2013. "Are ICT, Workplace Organization and Human Capital Relevant for Innovation?," KOF Working papers 13-333, KOF Swiss Economic Institute, ETH Zurich.
    3. Francesco Venturini & Ana Rincon-Aznar & Dr Michela Vecchi, 2013. "ICT as a general purpose technology: spillovers, absorptive capacity and productivity performance," National Institute of Economic and Social Research (NIESR) Discussion Papers 416, National Institute of Economic and Social Research.
    4. Ana Rincon & Michela VECCHI & Francesco VENTURINI, 2012. "ICT spillovers, absorptive capacity and productivity performance," Quaderni del Dipartimento di Economia, Finanza e Statistica 103/2012, Università di Perugia, Dipartimento Economia.
    5. Fabio Pieri & Michela Vecchi & Francesco Venturini, 2017. "Modelling the joint impact of R and D and ICT on productivity: A frontier analysis approach," DEM Working Papers 2017/13, Department of Economics and Management.

  5. Sepehri, Ardeshir & Sarma, Sisira & Simpson, Wayne & Moshiri, Saeed, 2008. "How important are individual, household and commune characteristics in explaining utilization of maternal health services in Vietnam?," Social Science & Medicine, Elsevier, vol. 67(6), pages 1009-1017, September.

    Cited by:

    1. Alassane Drabo & Christian Hubert Ebeke, 2011. "Remittances, Public Health Spending and Foreign Aid in the Access to Health Care Services in Developing Countries," Working Papers halshs-00552996, HAL.
    2. Saturnin Bertrand Nguenda Anya & Atanase Yene, 2016. "The determinants of the choice of treatment of pregnant women in Cameroon," Health Economics Review, Springer, vol. 6(1), pages 1-9, December.
    3. Adjiwanou, Vissého & LeGrand, Thomas, 2013. "Does antenatal care matter in the use of skilled birth attendance in rural Africa: A multi-country analysis," Social Science & Medicine, Elsevier, vol. 86(C), pages 26-34.
    4. Guliani, Harminder & Sepehri, Ardeshir & Serieux, John, 2012. "What impact does contact with the prenatal care system have on women’s use of facility delivery? Evidence from low-income countries," Social Science & Medicine, Elsevier, vol. 74(12), pages 1882-1890.
    5. Yusuke Kamiya, 2010. "Endogenous Women's Autonomy and the Use of Reproductive Health Services: Empirical Evidence from Tajikistan," OSIPP Discussion Paper 10E010, Osaka School of International Public Policy, Osaka University.
    6. Shandana Dar & Uzma Afzal, 2015. "Education and Maternal Health in Pakistan: The Pathways of Influence," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 20(2), pages 1-34, July-Dec.
    7. Kruk, Margaret E. & Rockers, Peter C. & Mbaruku, Godfrey & Paczkowski, Magdalena M. & Galea, Sandro, 2010. "Community and health system factors associated with facility delivery in rural Tanzania: A multilevel analysis," Health Policy, Elsevier, vol. 97(2-3), pages 209-216, October.

  6. Saeed Moshiri & Faezeh Foroutan, 2006. "Forecasting Nonlinear Crude Oil Futures Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 81-96.

    Cited by:

    1. Loretta Mastroeni & Pierluigi Vellucci, 2016. "“Butterfly Effect" vs Chaos in Energy Futures Markets," Departmental Working Papers of Economics - University 'Roma Tre' 0209, Department of Economics - University Roma Tre.
    2. He, Kaijian & Yu, Lean & Lai, Kin Keung, 2012. "Crude oil price analysis and forecasting using wavelet decomposed ensemble model," Energy, Elsevier, vol. 46(1), pages 564-574.
    3. Marc Gronwald, 2009. "Jumps in Oil Prices- Evidence and Implications," ifo Working Paper Series 75, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    4. Monge, Manuel & Gil-Alana, Luis A. & Pérez de Gracia, Fernando, 2017. "Crude oil price behaviour before and after military conflicts and geopolitical events," Energy, Elsevier, vol. 120(C), pages 79-91.
    5. Bernard, Jean-Thomas & Khalaf, Lynda & Kichian, Maral & McMahon, Sébastien, 2008. "Oil Prices: Heavy Tails, Mean Reversion and the Convenience Yield," Cahiers de recherche 0801, GREEN.
    6. Zhao, Yang & Li, Jianping & Yu, Lean, 2017. "A deep learning ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, vol. 66(C), pages 9-16.
    7. Wang, Yudong & Liu, Li & Diao, Xundi & Wu, Chongfeng, 2015. "Forecasting the real prices of crude oil under economic and statistical constraints," Energy Economics, Elsevier, vol. 51(C), pages 599-608.
    8. Matteo Manera & Chiara Longo & Anil Markandya & Elisa Scarpa, 2007. "Evaluating the Empirical Performance of Alternative Econometric Models for Oil Price Forecasting," Working Papers 2007.4, Fondazione Eni Enrico Mattei.
    9. Wang, Tao & Yang, Jian, 2010. "Nonlinearity and intraday efficiency tests on energy futures markets," Energy Economics, Elsevier, vol. 32(2), pages 496-503, March.
    10. Neil A. Wilmot and Charles F. Mason, 2013. "Jump Processes in the Market for Crude Oil," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    11. Mona Shazly & Alice Lou, 2016. "Comparing the Forecasting Performance of Futures Oil Prices with Genetically Evolved Neural Networks," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 22(4), pages 361-376, November.
    12. Andrea Bastianin & Matteo Manera & Anil Markandya & Elisa Scarpa, 2011. "Oil Price Forecast Evaluation with Flexible Loss Functions," Working Papers 2011.91, Fondazione Eni Enrico Mattei.
    13. Jean-Thomas Bernard, Lynda Khalaf, Maral Kichian, and Sebastien McMahon, 2015. "The Convenience Yield and the Informational Content of the Oil Futures Price," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    14. John Francis Diaz & Jo-Hui Chen, 2017. "Testing for Long-memory and Chaos in the Returns of Currency Exchange-traded Notes (ETNs)," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(4), pages 1-2.
    15. Gil-Alana, Luis A. & Yaya, OlaOluwa S., 2014. "The relationship between oil prices and the Nigerian stock market. An analysis based on fractional integration and cointegration," Energy Economics, Elsevier, vol. 46(C), pages 328-333.
    16. Loretta Mastroeni & Pierluigi Vellucci, 2017. "“Chaos” In Energy And Commodity Markets: A Controversial Matter," Departmental Working Papers of Economics - University 'Roma Tre' 0218, Department of Economics - University Roma Tre.
    17. Chantziara, Thalia & Skiadopoulos, George, 2008. "Can the dynamics of the term structure of petroleum futures be forecasted? Evidence from major markets," Energy Economics, Elsevier, vol. 30(3), pages 962-985, May.
    18. Naser, Hanan, 2016. "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, vol. 56(C), pages 75-87.
    19. Huang, Lili & Wang, Jun, 2018. "Global crude oil price prediction and synchronization based accuracy evaluation using random wavelet neural network," Energy, Elsevier, vol. 151(C), pages 875-888.
    20. Safari, Ali & Davallou, Maryam, 2018. "Oil price forecasting using a hybrid model," Energy, Elsevier, vol. 148(C), pages 49-58.
    21. Loretta Mastroeni & Pierluigi Vellucci, 2016. ""Butterfly Effect" vs Chaos in Energy Futures Markets," Papers 1610.05697, arXiv.org.
    22. Gori, Fabio, 2016. "Mass and energy-capital conservation equations to forecast the oil price evolution with accumulation or depletion of the resources," Energy, Elsevier, vol. 116(P1), pages 746-760.
    23. Zhang, Xun & Yu, Lean & Wang, Shouyang & Lai, Kin Keung, 2009. "Estimating the impact of extreme events on crude oil price: An EMD-based event analysis method," Energy Economics, Elsevier, vol. 31(5), pages 768-778, September.
    24. Kisswani, Khalid /M. & Nusair, Salah /A., 2012. "Non-linearities in the dynamics of oil prices," MPRA Paper 36586, University Library of Munich, Germany.
    25. Wang, Minggang & Zhao, Longfeng & Du, Ruijin & Wang, Chao & Chen, Lin & Tian, Lixin & Eugene Stanley, H., 2018. "A novel hybrid method of forecasting crude oil prices using complex network science and artificial intelligence algorithms," Applied Energy, Elsevier, vol. 220(C), pages 480-495.
    26. Loretta Mastroeni & Pierluigi Vellucci, 2016. ""Chaos" in energy and commodity markets: a controversial matter," Papers 1611.07432, arXiv.org, revised Mar 2017.
    27. Barkoulas, John T. & Chakraborty, Atreya & Ouandlous, Arav, 2012. "A metric and topological analysis of determinism in the crude oil spot market," Energy Economics, Elsevier, vol. 34(2), pages 584-591.

  7. 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. 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.
    2. 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.
    3. 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.
    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. 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.
    6. Barnichon, Régis & 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, Research Program on Forecasting.
    8. John W. 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.

  8. Ardeshir Sepehri & Saeed Moshiri, 2004. "Inflation-Growth Profiles Across Countries: Evidence from Developing and Developed Countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 18(2), pages 191-207.

    Cited by:

    1. Manamba EPAPHRA, 2016. "Nonlinearities in Inflation and Growth Nexus: The Case of Tanzania," Journal of Economics and Political Economy, KSP Journals, vol. 3(3), pages 471-512, September.
    2. Girijasankar Mallik & Anis Chowdhury, 2011. "Effect of inflation uncertainty, output uncertainty and oil price on inflation and growth in Australia," Journal of Economic Studies, Emerald Group Publishing, vol. 38(4), pages 414-429, September.
    3. Schiffbauer, Marc, 2006. "Theoretical and methodological study on the role of public policies in fostering innovation and growth," Papers DYNREG04, Economic and Social Research Institute (ESRI).
    4. Qaiser Munir & Kasim Mansur, 2009. "Non-Linearity between Inflation Rate and GDP Growth in Malaysia," Economics Bulletin, AccessEcon, vol. 29(3), pages 1555-1569.
    5. Ahmad Jafari Samimi & Sedigheh Gholizadeh Kenari, 2015. "Inflation and Economic Growth in Developing Countries: New Evidence," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 3(2), pages 51-56, Fabruary.
    6. Reneé van Eyden & Tolga Omay & Rangan Gupta, 2015. "Inflation-Growth Nexus in Africa: Evidence from a Pooled CCE Multiple Regime Panel Smooth Transition Model," Working Papers 201504, University of Pretoria, Department of Economics.
    7. Ortiz, Isabel, & Cummins, Matthew. & Karunanethy, Kalaivani., 2015. "Fiscal space for social protection options to expand social investments in 187 countries," ILO Working Papers 994877663402676, International Labour Organization.
    8. Jaganath Behera & Alok Kumar Mishra, 2016. "Inflation and Economic Growth Nexus in BRICS: Evidence from ARDL Bound Testing Approach," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 4(1), pages 1-17, March.
    9. Isabel Ortiz & Jingqing Chai & Matthew Cummins, 2011. "Identifying Fiscal Space:Options for Social and Economic Development for Children and Poor Households in 184 Countries," Working papers 1108, UNICEF,Division of Policy and Strategy.
    10. Seleteng, Monaheng & Bittencourt, Manoel & van Eyden, Reneé, 2013. "Non-linearities in inflation–growth nexus in the SADC region: A panel smooth transition regression approach," Economic Modelling, Elsevier, vol. 30(C), pages 149-156.
    11. John Serieux, 2007. "Managing the Exchange Rate Consequences of an MDG-Related Scale-up in HIV/AIDS Financing," Conference Paper 1, International Policy Centre for Inclusive Growth.
    12. Arcade Ndoricimpa, 2017. "Threshold Effects of Debt on Economic Growth in Africa," African Development Review, African Development Bank, vol. 29(3), pages 471-484, September.
    13. Waseem Khadim & Saddam Ilyas & Bilal Mehmood, 2016. "Of Inflation and Growth Nexus in BRIMC Economies," International Journal of Economics and Empirical Research (IJEER), The Economics and Social Development Organization (TESDO), vol. 4(1), pages 32-45, January.
    14. Polterovich, Victor, 2006. "Снижение Инфляции Не Должно Быть Главной Целью Экономической Политики Правительства России
      [Decreasing Inflation Should not Be the Main Task of the Russian Government Economic Policy]
      ," MPRA Paper 22064, University Library of Munich, Germany.

  9. A. Sepehri & S. Moshiri & M. Doudongee, 2000. "The Foreign Exchange Constraints to Economic Adjustment: The case of Iran," International Review of Applied Economics, Taylor & Francis Journals, vol. 14(2), pages 235-251.

    Cited by:

    1. Thilak Ranaweera, 2004. "Ghost of the financing gap: an overlooked aspect of the aid debate," Journal of International Development, John Wiley & Sons, Ltd., vol. 16(4), pages 637-652.
    2. Khemraj, Tarron & Langrin, R. Brian, 2009. "Dynamic interactions of bank assets in two foreign currency constrained economies," MPRA Paper 36620, University Library of Munich, Germany, revised Nov 2010.

  10. Moshiri, Saeed & Cameron, Norman E & Scuse, David, 1999. "Static, Dynamic, and Hybrid Neural Networks in Forecasting Inflation," Computational Economics, Springer;Society for Computational Economics, vol. 14(3), pages 219-235, December.

    Cited by:

    1. Yochanan Shachmurove & Doris Witkowska, "undated". "Utilizing Artificial Neural Network Model to Predict Stock Markets," Penn CARESS Working Papers cae679cdc2e020f74d692ae73, Penn Economics Department.
    2. Christian A. Johnson & Rodrigo Vergara, 2005. "The implementation of monetary policy in an emerging economy: the case of Chile," Revista de Analisis Economico – Economic Analysis Review, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines, vol. 20(1), pages 45-62, June.
    3. Seung Hyun Hong & Peter C. B. Phillips, 2005. "Testing Linearity in Cointegrating Relations with an Application to Purchasing Power Parity," Cowles Foundation Discussion Papers 1541, Cowles Foundation for Research in Economics, Yale University.
    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. M. Ali Choudhary, 2011. "Neural Network Models for Inflation Forecasting: An Appraisal," Post-Print hal-00704670, HAL.
    6. 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.
    7. Karol Szafranek, 2017. "Bagged artificial neural networks in forecasting inflation: An extensive comparison with current modelling frameworks," NBP Working Papers 262, Narodowy Bank Polski, Economic Research Department.
    8. Binner, J.M. & Tino, P. & Tepper, J. & Anderson, R. & Jones, B. & Kendall, G., 2010. "Does money matter in inflation forecasting?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4793-4808.

Books

  1. Moshiri, Saeed & Lechtenböhmer, Stefan (ed.), 2015. "Sustainable energy strategy for Iran," Wuppertal Spezial, Wuppertal Institute for Climate, Environment and Energy, volume 51, number 51.

    Cited by:

    1. Rezaei, Rohollah & Ghofranfarid, Marjan, 2018. "Rural households' renewable energy usage intention in Iran: Extending the unified theory of acceptance and use of technology," Renewable Energy, Elsevier, vol. 122(C), pages 382-391.

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