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Fred Joutz

(deceased)

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Fakhri Hasanov & Frederick Joutz, 2013. "A macroeconometric model for making effective policy decisions in the Republic of Azerbaijan," International Conference on Energy, Regional Integration and Socio-economic Development 6017, EcoMod.

    Mentioned in:

    1. Il buono, il brutto e l'azero
      by Alberto Bagnai in Goofynomics on 2016-01-09 06:34:00

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Fred Joutz & Michael P. Clements & Herman O. Stekler, 2007. "An evaluation of the forecasts of the federal reserve: a pooled approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 121-136.

    Mentioned in:

    1. An evaluation of the forecasts of the federal reserve: a pooled approach (Journal of Applied Econometrics 2007) in ReplicationWiki ()

Working papers

  1. Fakhri Hasanov & Fred Joutz & Muhammad Javid, 2021. "Saudi Non-oil Exports Before and After COVID-19: Historical Impacts of Determinants and Scenario Analysis," Discussion Papers ks--2021-dp09, King Abdullah Petroleum Studies and Research Center.

    Cited by:

    1. Fakhri J. Hasanov & Noha Razek, 2023. "Oil and Non-Oil Determinants of Saudi Arabia’s International Competitiveness: Historical Analysis and Policy Simulations," Sustainability, MDPI, vol. 15(11), pages 1-39, June.
    2. Corbier, Darius & Gonand, Frédéric, 2024. "A hybrid electricity-economy model to assess the aggregate impacts of low-carbon transition: An application to France," Ecological Economics, Elsevier, vol. 216(C).

  2. Fahkri Hasanov & Fred Joutz & Jeyhun Mikayilov & Muhammad Javid, 2020. "KGEMM: A Macroecnometric Model for Saudi Arabia," Discussion Papers ks--2020-dp04, King Abdullah Petroleum Studies and Research Center.

    Cited by:

    1. Elshurafa, Amro M. & Alatawi, Hatem & Hasanov, Fakhri J. & Algahtani, Goblan J. & Felder, Frank A., 2022. "Cost, emission, and macroeconomic implications of diesel displacement in the Saudi agricultural sector: Options and policy insights," Energy Policy, Elsevier, vol. 168(C).
    2. Salaheddine Soummane & F. Ghersi, 2022. "Projecting Saudi sectoral electricity demand in 2030 using a computable general equilibrium model," Post-Print hal-03500916, HAL.
    3. Durand-Lasserve, Olivier & Almutairi, Hossa & Aljarboua, Abdullah & Pierru, Axel & Pradhan, Shreekar & Murphy, Frederic, 2023. "Hard-linking a top-down economic model with a bottom-up energy system for an oil-exporting country with price controls," Energy, Elsevier, vol. 266(C).

  3. Jeyhun Mikayilov & Fred Joutz & Fakhri Hasanov, 2019. "Gasoline Demand in Saudi Arabia: Are the Price and Income Elasticities Constant?," Discussion Papers ks--2019-dp81, King Abdullah Petroleum Studies and Research Center.

    Cited by:

    1. Mohammad Al Dubyan & Anwar Gasim, 2020. "Energy Price Reform in Saudi Arabia: Modeling the Economic and Environmental Impact and Understanding the Demand Response," Discussion Papers ks--2020-dp12, King Abdullah Petroleum Studies and Research Center.
    2. Salaheddine Soummane & F. Ghersi, 2022. "Projecting Saudi sectoral electricity demand in 2030 using a computable general equilibrium model," Post-Print hal-03500916, HAL.
    3. Gasim, Anwar A. & Agnolucci, Paolo & Ekins, Paul & De Lipsis, Vincenzo, 2023. "Modeling final energy demand and the impacts of energy price reform in Saudi Arabia," Energy Economics, Elsevier, vol. 120(C).

  4. Tilak, Doshi & Fred, Joutz & Lakuma, Corti Paul & Lwanga, Musa & Baltasar, Manzano, 2015. "The Challenges of Macroeconomic Management of Natural Resource Revenues in Developing Countries: The Case of Uganda," Research Series 234556, Economic Policy Research Centre (EPRC).

    Cited by:

    1. Lakuma, Corti Paul & Mawejje, Joseph & Lwanga, Musa Mayanja & Munyambonera, Ezra, 2018. "The distributional impacts of fiscal consolidation in Uganda," Research Series 275660, Economic Policy Research Centre (EPRC).
    2. Mohammad Imdadul HAQUE & Bashir Umar FARUK & Mohammad Rumzi TAUSIF, 2022. "A Revisit To The Resource Curse Dilemma In The Mena Region, For 2008-2014," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 22(1), pages 81-104.

  5. Fakhri Hasanov & Frederick Joutz, 2013. "A macroeconometric model for making effective policy decisions in the Republic of Azerbaijan," International Conference on Energy, Regional Integration and Socio-economic Development 6017, EcoMod.

    Cited by:

    1. Huseynov, Salman & Mammadov, Fuad, 2016. "A small scale forecasting and simulation model for Azerbaijan (FORSAZ)," MPRA Paper 76348, University Library of Munich, Germany.
    2. Fakhri Hasanov & Fuad Mammadov & Nayef Al-Musehel, 2018. "The Effects of Fiscal Policy on Non-Oil Economic Growth," Economies, MDPI, vol. 6(2), pages 1-21, April.
    3. Huseynov, Salman & Ahmadov, Vugar, 2014. "Azərbaycan üzrə DSÜT modeli: qiymətləndirmə və proqnozlaşdırma [A DSGE model for Azerbaijan: estimation and forecasting]," MPRA Paper 78123, University Library of Munich, Germany.

  6. Tarek Atallah & Fred Joutz & Axel Pierru, 2013. "Does disagreement among oil price forecasters reflect future volatility? Evidence from the ECB Surveys," Working Papers 2013-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Carlos Medel, 2017. "Geopolitical Tensions, OPEC News, and Oil Price: A Granger Causality Analysis," Working Papers Central Bank of Chile 805, Central Bank of Chile.

  7. Jason B. Jorgensen & Fred Joutz, 2012. "Modelling and Forecasting Residential Electricity Consumption in the U.S. Mountain Region," Working Papers 2012-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Matthew Ranson & Lauren Morris & Alex Kats-Rubin, 2014. "Climate Change and Space Heating Energy Demand: A Review of the Literature," NCEE Working Paper Series 201407, National Center for Environmental Economics, U.S. Environmental Protection Agency, revised Dec 2014.

  8. Mr. Prakash Loungani & Mr. Frederick L Joutz & Gail Cohen, 2011. "Measuring Energy Security: Trends in the Diversification of Oil and Natural Gas Supplies," IMF Working Papers 2011/039, International Monetary Fund.

    Cited by:

    1. Vivoda, Vlado, 2022. "LNG export diversification and demand security: A comparative study of major exporters," Energy Policy, Elsevier, vol. 170(C).
    2. Wang, Jiangquan & Shahbaz, Muhammad & Song, Malin, 2021. "Evaluating energy economic security and its influencing factors in China," Energy, Elsevier, vol. 229(C).
    3. Chuang, Ming Chih & Ma, Hwong Wen, 2013. "An assessment of Taiwan’s energy policy using multi-dimensional energy security indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 17(C), pages 301-311.
    4. Chuang, Ming Chih & Ma, Hwong Wen, 2013. "Energy security and improvements in the function of diversity indices—Taiwan energy supply structure case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 9-20.
    5. Xu-guang, Zuo & Xue-hong, Zhu & Jin-yu, Chen, 2022. "Trade dependence network structure of tantalum trade goods and its effect on trade prices: An industry chain perspective," Resources Policy, Elsevier, vol. 79(C).
    6. Gomes Relva, Stefania & Oliveira da Silva, Vinícius & Peyerl, Drielli & Veiga Gimenes, André Luiz & Molares Udaeta, Miguel Edgar, 2020. "Regulating the electro-energetic use of natural gas by gas-to-wire offshore technology: Case study from Brazil," Utilities Policy, Elsevier, vol. 66(C).
    7. Kisel, Einari & Hamburg, Arvi & Härm, Mihkel & Leppiman, Ando & Ots, Märt, 2016. "Concept for Energy Security Matrix," Energy Policy, Elsevier, vol. 95(C), pages 1-9.
    8. Bigerna, Simona & Bollino, Carlo Andrea & Polinori, Paolo, 2021. "Oil import portfolio risk and spillover volatility," Resources Policy, Elsevier, vol. 70(C).
    9. Pin Li & Jinsuo Zhang, 2019. "Is China’s Energy Supply Sustainable? New Research Model Based on the Exponential Smoothing and GM(1,1) Methods," Energies, MDPI, vol. 12(2), pages 1-30, January.
    10. Song, Zhouying & Zhu, Qiaoling & Han, Mengyao, 2021. "Tele-connection of global crude oil network: Comparisons between direct trade and embodied flows," Energy, Elsevier, vol. 217(C).
    11. Govindan, Rajesh & Al-Ansari, Tareq, 2019. "Computational decision framework for enhancing resilience of the energy, water and food nexus in risky environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 653-668.
    12. Xiaolei Sun & Jun Hao & Jianping Li, 2022. "Multi-objective optimization of crude oil-supply portfolio based on interval prediction data," Annals of Operations Research, Springer, vol. 309(2), pages 611-639, February.
    13. Brutschin, Elina & Fleig, Andreas, 2018. "Geopolitically induced investments in biofuels," Energy Economics, Elsevier, vol. 74(C), pages 721-732.
    14. Kangyin Dong & Yalin Han & Yue Dou & Muhammad Shahbaz, 2022. "Moving toward carbon neutrality: Assessing natural gas import security and its impact on CO2 emissions," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(4), pages 751-770, August.
    15. Chen, Sai & Song, Yan & Ding, Yueting & Zhang, Ming & Nie, Rui, 2021. "Using long short-term memory model to study risk assessment and prediction of China’s oil import from the perspective of resilience theory," Energy, Elsevier, vol. 215(PB).
    16. Narula, Kapil & Sudhakara Reddy, B. & Pachauri, Shonali, 2017. "Sustainable Energy Security for India: An assessment of energy demand sub-system," Applied Energy, Elsevier, vol. 186(P2), pages 126-139.
    17. Chung, Whan-Sam & Kim, Seung-Su & Moon, Kee-Hwan & Lim, Chae-Young & Yun, Sung-Won, 2017. "A conceptual framework for energy security evaluation of power sources in South Korea," Energy, Elsevier, vol. 137(C), pages 1066-1074.
    18. Radovanović, Mirjana & Filipović, Sanja & Pavlović, Dejan, 2017. "Energy security measurement – A sustainable approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P2), pages 1020-1032.
    19. Christoph Böhringer & Markus Bortolamedi, 2015. "Sense and No(n)-Sense of Energy Security Indicators," ZenTra Working Papers in Transnational Studies 55 / 2015, ZenTra - Center for Transnational Studies.
    20. Zhang, Long & Yu, Jing & Sovacool, Benjamin K. & Ren, Jingzheng, 2017. "Measuring energy security performance within China: Toward an inter-provincial prospective," Energy, Elsevier, vol. 125(C), pages 825-836.
    21. Yang, Yuying & Li, Jianping & Sun, Xiaolei & Chen, Jianming, 2014. "Measuring external oil supply risk: A modified diversification index with country risk and potential oil exports," Energy, Elsevier, vol. 68(C), pages 930-938.
    22. Kashcheeva, Mila & Tsui, Kevin K., 2015. "Political oil import diversification by financial and commercial traders," Energy Policy, Elsevier, vol. 82(C), pages 289-297.
    23. Mohsin, M. & Zhou, P. & Iqbal, N. & Shah, S.A.A., 2018. "Assessing oil supply security of South Asia," Energy, Elsevier, vol. 155(C), pages 438-447.
    24. Erahman, Qodri Febrilian & Purwanto, Widodo Wahyu & Sudibandriyo, Mahmud & Hidayatno, Akhmad, 2016. "An assessment of Indonesia's energy security index and comparison with seventy countries," Energy, Elsevier, vol. 111(C), pages 364-376.
    25. Jianping Li & Xiaolei Sun & Fei Wang & Dengsheng Wu, 2015. "Risk integration and optimization of oil-importing maritime system: a multi-objective programming approach," Annals of Operations Research, Springer, vol. 234(1), pages 57-76, November.
    26. Saleh Mothana Obadi & Matej Korcek, 2020. "Quantifying the Energy Security of Selected EU Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 276-284.
    27. Andrzej T. Szablewski, 2012. "Liberalizacja rynku a bezpieczeństwo dostaw gazu," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 5-6, pages 1-27.
    28. Heetae Kim & Jinwoo Bae & Seoin Baek & Donggyun Nam & Hyunsung Cho & Hyun Joon Chang, 2017. "Comparative Analysis between the Government Micro-Grid Plan and Computer Simulation Results Based on Real Data: The Practical Case for a South Korean Island," Sustainability, MDPI, vol. 9(2), pages 1-18, January.
    29. Huang, Beijia & Zhang, Long & Ma, Linmao & Bai, Wuliyasu & Ren, Jingzheng, 2021. "Multi-criteria decision analysis of China’s energy security from 2008 to 2017 based on Fuzzy BWM-DEA-AR model and Malmquist Productivity Index," Energy, Elsevier, vol. 228(C).
    30. Beccue, Phillip C. & Huntington, Hillard G. & Leiby, Paul N. & Vincent, Kenneth R., 2018. "An updated assessment of oil market disruption risks," Energy Policy, Elsevier, vol. 115(C), pages 456-469.
    31. Maciej Chowaniak & Zofia Gródek-Szostak & Karolina Kotulewicz-Wisińska & Małgorzata Luc & Marcin Suder & Anna Szeląg-Sikora, 2021. "The RES in the Countries of the Commonwealth of Independent States: Potential and Production from 2015 to 2019," Energies, MDPI, vol. 14(7), pages 1-24, March.
    32. Sun, Xiaolei & Liu, Chang & Chen, Xiuwen & Li, Jianping, 2017. "Modeling systemic risk of crude oil imports: Case of China’s global oil supply chain," Energy, Elsevier, vol. 121(C), pages 449-465.
    33. Ji, Qiang & Zhang, Hai-Ying & Zhang, Dayong, 2019. "The impact of OPEC on East Asian oil import security: A multidimensional analysis," Energy Policy, Elsevier, vol. 126(C), pages 99-107.
    34. Pin Li & Jin-Suo Zhang, 2018. "A New Hybrid Method for China’s Energy Supply Security Forecasting Based on ARIMA and XGBoost," Energies, MDPI, vol. 11(7), pages 1-28, June.
    35. Kang, Duan, 2024. "The establishment of evaluation systems and an index for energy superpower," Applied Energy, Elsevier, vol. 356(C).
    36. Teresa Pakulska, 2021. "Green Energy in Central and Eastern European (CEE) Countries: New Challenges on the Path to Sustainable Development," Energies, MDPI, vol. 14(4), pages 1-19, February.
    37. Gasser, Patrick, 2020. "A review on energy security indices to compare country performances," Energy Policy, Elsevier, vol. 139(C).
    38. E. Allevi & L. Boffino & M. E. Giuli & G. Oggioni, 2018. "Evaluating the impacts of the external supply risk in a natural gas supply chain: the case of the Italian market," Journal of Global Optimization, Springer, vol. 70(2), pages 347-384, February.
    39. Tete, Komlan H.S. & Soro, Y.M. & Sidibé, S.S. & Jones, Rory V., 2023. "Assessing energy security within the electricity sector in the West African economic and monetary union: Inter-country performances and trends analysis with policy implications," Energy Policy, Elsevier, vol. 173(C).
    40. Osieczko Kornelia & Polaszczyk Jan, 2018. "Comparison of chosen aspects of Energy Security Index for the natural gas sector in Poland and Ukraine," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 54(3), pages 185-196, September.
    41. Hubbard, L.J. & Hubbard, Carmen, 2013. "Food security in the United Kingdom: External supply risks," Food Policy, Elsevier, vol. 43(C), pages 142-147.
    42. Siqi Li & Rongrong Li, 2017. "Energy Sustainability Evaluation Model Based on the Matter-Element Extension Method: A Case Study of Shandong Province, China," Sustainability, MDPI, vol. 9(11), pages 1-9, November.
    43. Zhang, Long & Bai, Wuliyasu & Xiao, Huijuan & Ren, Jingzheng, 2021. "Measuring and improving regional energy security: A methodological framework based on both quantitative and qualitative analysis," Energy, Elsevier, vol. 227(C).
    44. Doğan, Buhari & Ferraz, Diogo & Gupta, Monika & Duc Huynh, Toan Luu & Shahzadi, Irum, 2022. "Exploring the effects of import diversification on energy efficiency: Evidence from the OECD economies," Renewable Energy, Elsevier, vol. 189(C), pages 639-650.
    45. Honorata Nyga-Łukaszewska & Kentaka Aruga & Katarzyna Stala-Szlugaj, 2020. "Energy Security of Poland and Coal Supply: Price Analysis," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
    46. Kocak, Emrah & Ulug, Eyup Emre & Oralhan, Burcu, 2023. "The impact of electricity from renewable and non-renewable sources on energy poverty and greenhouse gas emissions (GHGs): Empirical evidence and policy implications," Energy, Elsevier, vol. 272(C).
    47. Månsson, André & Johansson, Bengt & Nilsson, Lars J., 2014. "Assessing energy security: An overview of commonly used methodologies," Energy, Elsevier, vol. 73(C), pages 1-14.
    48. J. Magnier, Hamza & Jrad, Asmaa, 2019. "A minimal simplified model for assessing and devising global LNG equilibrium trade portfolios while maximizing energy security," Energy, Elsevier, vol. 173(C), pages 1221-1233.
    49. Shepard, Jun U. & Pratson, Lincoln F., 2020. "Hybrid input-output analysis of embodied energy security," Applied Energy, Elsevier, vol. 279(C).
    50. Mohd Alsaleh & A. S. Abdul-Rahim & A. O. Zubair, 2021. "Impacts of bioenergy sustainable growth on food security in EU28 region: an empirical analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 17423-17442, December.
    51. Narula, Kapil & Reddy, B. Sudhakara, 2016. "A SES (sustainable energy security) index for developing countries," Energy, Elsevier, vol. 94(C), pages 326-343.
    52. Chalvatzis, Konstantinos J. & Ioannidis, Alexis, 2017. "Energy supply security in the EU: Benchmarking diversity and dependence of primary energy," Applied Energy, Elsevier, vol. 207(C), pages 465-476.
    53. Ye Yang & Zegen Wang & Ying Zhang & Jiulin Jiang & Jiwu He, 2023. "Spatial and Temporal Patterns of Green Energy Development in China," Sustainability, MDPI, vol. 15(22), pages 1-15, November.
    54. Wang, Deqing & Tian, Sihua & Fang, Lei & Xu, Yan, 2020. "A functional index model for dynamically evaluating China's energy security," Energy Policy, Elsevier, vol. 147(C).
    55. Lu, Weiwei & Su, Meirong & Fath, Brian D. & Zhang, Mingqi & Hao, Yan, 2016. "A systematic method of evaluation of the Chinese natural gas supply security," Applied Energy, Elsevier, vol. 165(C), pages 858-867.
    56. Jacek Strojny & Anna Krakowiak-Bal & Jarosław Knaga & Piotr Kacorzyk, 2023. "Energy Security: A Conceptual Overview," Energies, MDPI, vol. 16(13), pages 1-35, June.
    57. Triguero-Ruiz, Francisco & Avila-Cano, Antonio & Trujillo Aranda, Francisco, 2023. "Measuring the diversification of energy sources: The energy mix," Renewable Energy, Elsevier, vol. 216(C).
    58. Jang, Jinyong & Lee, Jongsu & Yoo, Seung-Hoon, 2014. "The public׳s willingness to pay for securing a reliable natural gas supply in Korea," Energy Policy, Elsevier, vol. 69(C), pages 3-13.
    59. Giray Gozgor & Sudharshan Reddy Paramati, 2021. "Does Energy Diversification Cause an Economic Slowdown? Evidence from a Newly Constructed Energy Diversification Index," CESifo Working Paper Series 9247, CESifo.
    60. Wang, Shengyan & Li, Bingkang & Zhao, Xudong & Hu, Qianchen & Liu, Da, 2024. "Assessing fossil energy supply security in China using ecological network analysis from a supply chain perspective," Energy, Elsevier, vol. 288(C).
    61. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2013. "An evaluation framework for oil import security based on the supply chain with a case study focused on China," Energy Economics, Elsevier, vol. 38(C), pages 87-95.
    62. Flouri, Maria & Karakosta, Charikleia & Kladouchou, Charikleia & Psarras, John, 2015. "How does a natural gas supply interruption affect the EU gas security? A Monte Carlo simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 785-796.
    63. Timothy Meyer, 2017. "Explaining energy disputes at the World Trade Organization," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 17(3), pages 391-410, June.
    64. Franco Ruzzenenti & Francesco Picciolo & Andreas Papandreou, 2015. "A network analysis of the global energy market: an insight on the entanglement between crude oil and the world economy," Papers 1509.05894, arXiv.org, revised Sep 2015.
    65. Kosai, Shoki & Unesaki, Hironobu, 2017. "Quantitative analysis on the impact of nuclear energy supply disruption on electricity supply security," Applied Energy, Elsevier, vol. 208(C), pages 1198-1207.
    66. Couharde, Cécile & Karanfil, Fatih & Kilama, Eric Gabin & Omgba, Luc Désiré, 2020. "The role of oil in the allocation of foreign aid: The case of the G7 donors," Journal of Comparative Economics, Elsevier, vol. 48(2), pages 363-383.
    67. Paweł Mielcarz & Dmytro Osiichuk & Jarosław Cymerski, 2020. "Algorithmic Sangfroid? The Decline of Sensitivity of Crude Oil Prices to News on Potentially Disruptive Terror Attacks and Political Unrest," Sustainability, MDPI, vol. 13(1), pages 1-24, December.
    68. Zheng, Yan & Yin, Hua & Zhou, Min & Liu, Wenhua & Wen, Fenghua, 2021. "Impacts of oil shocks on the EU carbon emissions allowances under different market conditions," Energy Economics, Elsevier, vol. 104(C).
    69. Zolt n Nagy & Tekla Sebesty n Sz p, 2016. "Losers of the Falling Oil Prices: Changes in Oil Vulnerability in the Oil Exporting Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 6(4), pages 738-752.
    70. Hao, Xiaoqing, 2023. "Import competition and pressure in the international crude oil trade: A network analysis," Resources Policy, Elsevier, vol. 82(C).
    71. De Rosa, Mattia & Gainsford, Kenneth & Pallonetto, Fabiano & Finn, Donal P., 2022. "Diversification, concentration and renewability of the energy supply in the European Union," Energy, Elsevier, vol. 253(C).
    72. Benye Shi & Tian Cai, 2020. "Has China’s Oil Investment in Belt and Road Initiative Countries Helped Its Oil Import?," Energies, MDPI, vol. 13(12), pages 1-13, June.
    73. Vivoda, Vlado, 2019. "LNG import diversification and energy security in Asia," Energy Policy, Elsevier, vol. 129(C), pages 967-974.
    74. Ioannidis, Alexis & Chalvatzis, Konstantinos J. & Li, Xin & Notton, Gilles & Stephanides, Phedeas, 2019. "The case for islands’ energy vulnerability: Electricity supply diversity in 44 global islands," Renewable Energy, Elsevier, vol. 143(C), pages 440-452.
    75. Liu, Litao & Cao, Zhi & Liu, Xiaojie & Shi, Lei & Cheng, Shengkui & Liu, Gang, 2020. "Oil security revisited: An assessment based on complex network analysis," Energy, Elsevier, vol. 194(C).
    76. Sutrisno, Aziiz & Nomaler, Ӧnder & Alkemade, Floor, 2021. "Has the global expansion of energy markets truly improved energy security?," Energy Policy, Elsevier, vol. 148(PA).
    77. Zhang, Hai-Ying & Ji, Qiang & Fan, Ying, 2015. "What drives the formation of global oil trade patterns?," Energy Economics, Elsevier, vol. 49(C), pages 639-648.
    78. Cohen, Gail & Joutz, Frederick & Loungani, Prakash, 2011. "Measuring energy security: Trends in the diversification of oil and natural gas supplies," Energy Policy, Elsevier, vol. 39(9), pages 4860-4869, September.
    79. Zhao, Yiran & Gao, Xiangyun & An, Haizhong & Xi, Xian & Sun, Qingru & Jiang, Meihui, 2020. "The effect of the mined cobalt trade dependence Network's structure on trade price," Resources Policy, Elsevier, vol. 65(C).
    80. Dastan, Seyit Ali & Selcuk, Orhun, 2016. "Review of the security of supply in Turkish energy markets: Lessons from the winter shortages," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 958-971.
    81. Neelawela, U.D. & Selvanathan, E.A. & Wagner, L.D., 2019. "Global measure of electricity security: A composite index approach," Energy Economics, Elsevier, vol. 81(C), pages 433-453.
    82. Dharfizi, Awang Dzul Hashriq & Ghani, Ahmad Bashawir Abdul & Islam, Rabiul, 2020. "Evaluating Malaysia's fuel diversification strategies 1981–2016," Energy Policy, Elsevier, vol. 137(C).
    83. Csaba Weiner, 2017. "Managing energy supply security and gas diversification in Hungary - putting theory into practice," IWE Working Papers 238, Institute for World Economics - Centre for Economic and Regional Studies.
    84. Larsen, Erik R. & Osorio, Sebastian & van Ackere, Ann, 2017. "A framework to evaluate security of supply in the electricity sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 646-655.
    85. Saleh Mothana Obadi & Matej Korcek, 2017. "EU Energy Security - Multidimensional Analysis of 2005-2014 Development," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 113-120.
    86. Csaba Weiner, 2016. "Central and East European diversification under new gas market conditions," IWE Working Papers 221, Institute for World Economics - Centre for Economic and Regional Studies.
    87. Brown, Stephen P.A. & Huntington, Hillard G., 2015. "Evaluating U.S. oil security and import reliance," Energy Policy, Elsevier, vol. 79(C), pages 9-22.
    88. Muhammad Mutasim Billah Tufail & Maawra Salam & Muhammad Shakeel & Ali Gohar, 2022. "Diversified Sustainable Resource Availability by Optimizing Economic Environmental and Supply Risk factors in Malaysia s Power Generation Mix," International Journal of Energy Economics and Policy, Econjournals, vol. 12(1), pages 507-516.
    89. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
    90. Baek, Seoin & Park, Eunil & Kim, Min-Gil & Kwon, Sang Jib & Kim, Ki Joon & Ohm, Jay Y. & del Pobil, Angel P., 2016. "Optimal renewable power generation systems for Busan metropolitan city in South Korea," Renewable Energy, Elsevier, vol. 88(C), pages 517-525.
    91. Izabela Jonek-Kowalska, 2022. "Assessing the energy security of European countries in the resource and economic context," Oeconomia Copernicana, Institute of Economic Research, vol. 13(2), pages 301-334, June.
    92. Daphné Lorne & Stéphane Tchung-Ming, 2012. "The French biofuels mandates under cost uncertainty - an assesment based on robust optimization," Working Papers hal-03206367, HAL.
    93. Le, Thai-Ha & Chang, Youngho & Taghizadeh-Hesary, Farhad & Yoshino, Naoyuki, 2019. "Energy insecurity in Asia: A multi-dimensional analysis," Economic Modelling, Elsevier, vol. 83(C), pages 84-95.
    94. Ang, B.W. & Choong, W.L. & Ng, T.S., 2015. "Energy security: Definitions, dimensions and indexes," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 1077-1093.
    95. Sharifuddin, Shahnaz, 2014. "Methodology for quantitatively assessing the energy security of Malaysia and other southeast Asian countries," Energy Policy, Elsevier, vol. 65(C), pages 574-582.
    96. Walker, Sara Louise & Hope, Alex & Bentley, Edward, 2014. "Modelling steady state performance of a local electricity distribution system under UK 2050 carbon pathway scenarios," Energy, Elsevier, vol. 78(C), pages 604-621.
    97. Zhao, Yong & Shi, Xunpeng & Song, Feng, 2020. "Has Chinese outward foreign direct investment in energy enhanced China's energy security?," Energy Policy, Elsevier, vol. 146(C).
    98. Zhu, Bo & Deng, Yuanyue & Lin, Renda & Hu, Xin & Chen, Pingshe, 2022. "Energy security: Does systemic risk spillover matter? Evidence from China," Energy Economics, Elsevier, vol. 114(C).
    99. Shoki Kosai & Chia Kwang Tan & Eiji Yamasue, 2018. "Evaluating Power Reliability Dedicated for Sudden Disruptions: Its Application to Determine Capacity on the Basis of Energy Security," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    100. Paul Ojeaga & Odejimi Deborah, 2014. "Demand for Energy and Energy Generation: Does Regional Energy Policy Play a Role?," Computational Methods in Social Sciences (CMSS), "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences, vol. 2(1), pages 5-20, June.
    101. Jose Arreola Hernandez & Sang Hoon Kang & Seong‐Min Yoon, 2022. "Nonlinear spillover and portfolio allocation characteristics of energy equity sectors: Evidence from the United States and Canada," Review of International Economics, Wiley Blackwell, vol. 30(1), pages 1-33, February.
    102. Sato, Masahiro & Kharrazi, Ali & Nakayama, Hirofumi & Kraines, Steven & Yarime, Masaru, 2017. "Quantifying the supplier-portfolio diversity of embodied energy: Strategic implications for strengthening energy resilience," Energy Policy, Elsevier, vol. 105(C), pages 41-52.
    103. Ye, Ruike & Zhou, Yunheng & Chen, Jiawei & Tu, Kevin, 2021. "Natural gas security evaluation from a supply vs. demand perspective: A quantitative application of four As," Energy Policy, Elsevier, vol. 156(C).
    104. Thauan Santos & Amaro Olímpio Pereira Júnior & Emilio Lèbre La Rovere, 2017. "Evaluating Energy Policies through the Use of a Hybrid Quantitative Indicator-Based Approach: The Case of Mercosur," Energies, MDPI, vol. 10(12), pages 1-15, December.
    105. Wang, Qiang & Zhou, Kan, 2017. "A framework for evaluating global national energy security," Applied Energy, Elsevier, vol. 188(C), pages 19-31.
    106. Kamonphorn Kanchana & Hironobu Unesaki, 2015. "Assessing Energy Security Using Indicator-Based Analysis: The Case of ASEAN Member Countries," Social Sciences, MDPI, vol. 4(4), pages 1-47, December.

  9. Tara M. Sinclair & Fred Joutz & Herman O. Stekler, 2009. "Can the Fed Predict the State of the Economy?," Working Papers 2009-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Mar 2010.

    Cited by:

    1. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
    2. Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Central banks’ inflation forecasts under asymmetric loss: Evidence from four Latin-American countries," Economics Letters, Elsevier, vol. 129(C), pages 66-70.
    3. Neil R. Ericsson, 2015. "Eliciting GDP Forecasts from the FOMC’s Minutes Around the Financial Crisis," International Finance Discussion Papers 1152, Board of Governors of the Federal Reserve System (U.S.).
    4. Sinclair, Tara M. & Stekler, H.O., 2013. "Examining the quality of early GDP component estimates," International Journal of Forecasting, Elsevier, vol. 29(4), pages 736-750.
    5. Barbara Rossi & Tatevik Sekhposyan, 2016. "Forecast Rationality Tests in the Presence of Instabilities, with Applications to Federal Reserve and Survey Forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(3), pages 507-532, April.
    6. Tara Sinclair & Herman O. Stekler & Warren Carnow, 2012. "A New Approach For Evaluating Economic Forecasts," Working Papers 2012-2, The George Washington University, Institute for International Economic Policy.
    7. Pao‐Lin Tien & Tara M. Sinclair & Edward N. Gamber, 2021. "Do Fed Forecast Errors Matter?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 686-712, June.
    8. Ostry, Jonathan D. & Estefania Flores, Julia & Furceri, Davide & Kothari, Siddharth, 2021. "Worse Than You Think: Public Debt Forecast Errors in Advanced and Developing Economies," CEPR Discussion Papers 16108, C.E.P.R. Discussion Papers.
    9. Constantin Bürgi & Tara M. Sinclair, 2020. "What Does Forecaster Disagreement Tell Us about the State of the Economy?," Working Papers 2020-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    10. Travis J. Berge & Andrew C. Chang & Nitish R. Sinha, 2019. "Evaluating the Conditionality of Judgmental Forecasts," Finance and Economics Discussion Series 2019-002, Board of Governors of the Federal Reserve System (U.S.).
    11. Fritsche, Ulrich & Pierdzioch, Christian & Rülke, Jan-Christoph & Stadtmann, Georg, 2015. "Forecasting the Brazilian real and the Mexican peso: Asymmetric loss, forecast rationality, and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 130-139.
    12. Tsuchiya, Yoichi, 2023. "Assessing the World Bank’s growth forecasts," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 64-84.
    13. Dovern, Jonas & Jannsen, Nils, 2015. "Systematic errors in growth expectations over the business cycle," Kiel Working Papers 1989, Kiel Institute for the World Economy (IfW Kiel).
    14. Clintin P. Davis-Stober & David V. Budescu & Stephen B. Broomell & Jason Dana, 2015. "The Composition of Optimally Wise Crowds," Decision Analysis, INFORMS, vol. 12(3), pages 130-143.
    15. Eleonora Granziera & Pirkka Jalasjoki & Maritta Paloviita, 2021. "The Bias and Efficiency of the ECB Inflation Projections: a State Dependent Analysis," Working Paper 2021/1, Norges Bank.
    16. Michael T. Belongia & Peter N. Ireland, 2018. "Monetary Policy Lessons from the Greenbook," Boston College Working Papers in Economics 955, Boston College Department of Economics.
    17. Tara M. Sinclair, 2012. "Characteristics and Implications of Chinese Macroeconomic Data Revisions," Working Papers 2012-09, The George Washington University, Institute for International Economic Policy.
    18. Neil R. Ericsson, 2017. "How Biased Are U.S. Government Forecasts of the Federal Debt?," Working Papers 2017-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    19. Tara M. Sinclair, 2019. "Continuities and Discontinuities in Economic Forecasting," Working Papers 2019-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    20. Messina, Jeffrey D. & Sinclair, Tara M. & Stekler, Herman, 2015. "What can we learn from revisions to the Greenbook forecasts?," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 54-62.
    21. Sinclair, Tara M. & Stekler, H.O. & Carnow, Warren, 2015. "Evaluating a vector of the Fed’s forecasts," International Journal of Forecasting, Elsevier, vol. 31(1), pages 157-164.
    22. Christopher A. Hollrah & Steven A. Sharpe & Nitish R. Sinha, 2017. "What's the Story? A New Perspective on the Value of Economic Forecasts," Finance and Economics Discussion Series 2017-107, Board of Governors of the Federal Reserve System (U.S.).
    23. Sergey V. Smirnov & Daria A. Avdeeva, 2016. "Wishful Bias in Predicting Us Recessions: Indirect Evidence," HSE Working papers WP BRP 135/EC/2016, National Research University Higher School of Economics.
    24. Granziera, Eleonora & Jalasjoki, Pirkka & Paloviita, Maritta, 2021. "The bias and efficiency of the ECB inflation projections: A state dependent analysis," Bank of Finland Research Discussion Papers 7/2021, Bank of Finland.
    25. Eicher, Theo S. & Kawai, Reina, 2023. "IMF trade forecasts for crisis countries: Bias, inefficiency, and their origins," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1615-1639.
    26. Deschamps, Bruno & Ioannidis, Christos & Ka, Kook, 2020. "High-frequency credit spread information and macroeconomic forecast revision," International Journal of Forecasting, Elsevier, vol. 36(2), pages 358-372.
    27. Tara M. Sinclair & H.O. Stekler, 2011. "Differences in Early GDP Component Estimates Between Recession and Expansion," Working Papers 2011-05, The George Washington University, Institute for International Economic Policy.
    28. Christopher A. Hollrah & Steven A. Sharpe & Nitish R. Sinha, 2020. "The Power of Narratives in Economic Forecasts," Finance and Economics Discussion Series 2020-001, Board of Governors of the Federal Reserve System (U.S.).
    29. Fildes, Robert, 2015. "Forecasters and rationality—A comment on Fritsche et al., Forecasting the Brazilian Real and Mexican Peso: Asymmetric loss, forecast rationality and forecaster herding," International Journal of Forecasting, Elsevier, vol. 31(1), pages 140-143.
    30. Theo S. Eicher & David J. Kuenzel & Mr. Chris Papageorgiou & Mr. Charalambos Christofides, 2018. "Forecasts in Times of Crises," IMF Working Papers 2018/048, International Monetary Fund.
    31. Yoichi Tsuchiya, 2021. "Thirty‐year assessment of Asian Development Bank's forecasts," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(2), pages 18-40, November.
    32. Henning Fischer & Marta García-Bárzana & Peter Tillmann & Peter Winker, 2014. "Evaluating FOMC forecast ranges: an interval data approach," Empirical Economics, Springer, vol. 47(1), pages 365-388, August.
    33. Yoichi Tsuchiya, 2021. "The value added of the Bank of Japan's range forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 817-833, August.
    34. Eicher, Theo S. & Rollinson, Yuan Gao, 2023. "The accuracy of IMF crises nowcasts," International Journal of Forecasting, Elsevier, vol. 39(1), pages 431-449.
    35. Xie, Zixiong & Hsu, Shih-Hsun, 2016. "Time varying biases and the state of the economy," International Journal of Forecasting, Elsevier, vol. 32(3), pages 716-725.
    36. Ines Fortin & Sebastian P. Koch & Klaus Weyerstrass, 2020. "Evaluation of economic forecasts for Austria," Empirical Economics, Springer, vol. 58(1), pages 107-137, January.
    37. Bürgi, Constantin, 2017. "Bias, rationality and asymmetric loss functions," Economics Letters, Elsevier, vol. 154(C), pages 113-116.
    38. Daniel Culbertson & Tara Sinclair, 2014. "The Failure of Forecasts in the Great Recession," Challenge, Taylor & Francis Journals, vol. 57(6), pages 34-45.
    39. Loungani, Prakash & Stekler, Herman & Tamirisa, Natalia, 2013. "Information rigidity in growth forecasts: Some cross-country evidence," International Journal of Forecasting, Elsevier, vol. 29(4), pages 605-621.
    40. Sharpe, Steven A. & Sinha, Nitish R. & Hollrah, Christopher A., 2023. "The power of narrative sentiment in economic forecasts," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1097-1121.
    41. Baghestani, Hamid & AbuAl-Foul, Bassam M., 2017. "Comparing Federal Reserve, Blue Chip, and time series forecasts of US output growth," Journal of Economics and Business, Elsevier, vol. 89(C), pages 47-56.

  10. Tara M. Sinclair & Fred Joutz & Herman O. Stekler, 2008. "Are 'unbiased' forecasts really unbiased? Another look at the Fed forecasts," Working Papers 2008-010, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

    Cited by:

    1. Theo S. Eicher & David J. Kuenzel & Mr. Chris Papageorgiou & Mr. Charalambos Christofides, 2018. "Forecasts in Times of Crises," IMF Working Papers 2018/048, International Monetary Fund.

  11. Mr. Frederick L Joutz & Mr. Yasser Abdih, 2008. "The Impact of Public Capital, Human Capital, and Knowledge on Aggregate Output," IMF Working Papers 2008/218, International Monetary Fund.

    Cited by:

    1. Vitor M. Carvalho & Manuel M. F. Martins, 2011. "Macroeconomic effects of fiscal consolidations in a DSGE model for the Euro Area: does composition matter?," FEP Working Papers 421, Universidade do Porto, Faculdade de Economia do Porto.
    2. Alfredo M. Pereira & Jorge M. Andraz, 2013. "On The Economic Effects Of Public Infrastructure Investment: A Survey Of The International Evidence," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 38(4), pages 1-37, December.
    3. Marie-Ange Véganzonès-Varoudakis & Arup Mitra & Chandan Sharma, 2014. "Infrastructure, Information & Communication Technology and Firms’ Productive Performance of the Indian Manufacturing," Post-Print hal-03058510, HAL.
    4. Dmitriy, Skrypnik, 2020. "Инфраструктура И Экономический Рост. «Бюджетный Маневр» В России [Infrastructure and economic growth. "Budgetary maneuver" in Russia]," MPRA Paper 104920, University Library of Munich, Germany.
    5. Skrypnik, D., 2024. "Infrastructure and economic growth in the context of the evolutionary theory of economic policy," Journal of the New Economic Association, New Economic Association, vol. 62(1), pages 117-142.
    6. Khanna, Rupika & Sharma, Chandan, 2021. "Does infrastructure stimulate total factor productivity? A dynamic heterogeneous panel analysis for Indian manufacturing industries," The Quarterly Review of Economics and Finance, Elsevier, vol. 79(C), pages 59-73.
    7. Valter Di Giacinto & Giacinto Micucci & Pasqualino Montanaro, 2012. "The Macroeconomic Impact of Infrastructures: A Literature Review and Empirical Analysis on the Case of Italy," QA - Rivista dell'Associazione Rossi-Doria, Associazione Rossi Doria, issue 1, March.
    8. Vitor Carvalho & Manuel M. F. Martins, 2011. "Investment and output effects of fiscal consolidations in a new-Keynesian DSGE model for the Euro Area: composition matters?," EcoMod2011 3246, EcoMod.
    9. Juan A. Núñez-Serrano & Francisco J. Velázquez, 2017. "Is Public Capital Productive? Evidence from a Meta-analysis," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(2), pages 313-345.

  12. Stephan Danninger & Fred Joutz, 2007. "What Explains Germany’s Rebounding Export Market Share?," CESifo Working Paper Series 1957, CESifo.

    Cited by:

    1. Klug, Thorsten & Mayer, Eric & Schuler, Tobias, 2021. "The corporate saving glut and the current account in Germany," Working Paper Series 2586, European Central Bank.
    2. Serge Rey, 2011. "Exchange rate fluctuations and extra-eurozone exports: A comparison of Germany and France," Economics Bulletin, AccessEcon, vol. 31(2), pages 1131-1150.
    3. Mr. Bogdan Lissovolik, 2008. "Trends in Italy’s Nonprice Competitiveness," IMF Working Papers 2008/124, International Monetary Fund.
    4. Jacob Funk Kirkegaard, 2014. "What Should Surplus Germany Do?," Policy Briefs PB14-14, Peterson Institute for International Economics.
    5. Frenkel Michael & Zimmermann Lilli, 2020. "What Drives Germany's Exports?," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 56(2), pages 99-108, June.
    6. Lakatos, Csilla & Walmsley, Terrie, 2011. "Dispute Settlement at the WTO: Impacts of a No Deal in the US-Brazil Cotton Dispute," Conference papers 332059, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    7. Carfì, David & Schilirò, Daniele, 2010. "Crisis in the Euro area: coopetitive game solutions as new policy tools," MPRA Paper 27138, University Library of Munich, Germany.
    8. J. Atsu Amegashie & Bazoumana Ouattara & Eric Strobl, 2007. "Moral Hazard and the Composition of Transfers: Theory with an Application to Foreign Aid," Working Papers 0702, University of Guelph, Department of Economics and Finance.
    9. Finicelli, Andrea & Sbracia, Massimo & Zaghini, Andrea, 2008. "A disaggregated analysis of the export performance of some industrial and emerging countries," MPRA Paper 11000, University Library of Munich, Germany.
    10. Breuer, Sebastian & Klose, Jens, 2013. "Who gains from nominal devaluation? An empirical assessment of Euro-area exports and imports," Working Papers 04/2013, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung.
    11. Daniel Detzer & Eckhard Hein, 2014. "Financialisation and the Financial and Economic Crises: The Case of Germany," FESSUD studies fstudy18, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    12. Christian Grimme & Robert Lehmann, 2020. "The ifo Export Climate – A Leading Indicator to Forecast German Export Growth," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 20(04), pages 36-42, January.
    13. Wolfgang Nierhaus & Timo Wollmershäuser, 2016. "ifo Konjunkturumfragen und Konjunkturanalyse: Band II," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 72.
    14. Detzer, Daniel & Hein, Eckhard, 2014. "Finance-dominated capitalism in Germany: Deep recession and quick recovery," IPE Working Papers 39/2014, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    15. Grömling, Michael, 2008. "Globaler Investitionsboom: Eine empirische Bestandsaufnahme," IW-Trends – Vierteljahresschrift zur empirischen Wirtschaftsforschung, Institut der deutschen Wirtschaft (IW) / German Economic Institute, vol. 35(3), pages 45-59.
    16. Steffen Elstner & Christian Grimme & Ulrich Haskamp, 2013. "The Ifo Export Climate – an Early Indicator for the German Export Forecast," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 66(04), pages 36-43, March.
    17. Engelbert Stockhammer & Collin Constantine & Severin Reissl, 2016. "Explaining the Euro crisis: Current account imbalances, credit booms and economic policy in different economic paradigms," Working Papers PKWP1617, Post Keynesian Economics Society (PKES).
    18. Paolo Guerrieri & Filippo Vergara Caffarelli, 2012. "Trade openness and international fragmentation of production in the European Union: the new divide?," Temi di discussione (Economic working papers) 855, Bank of Italy, Economic Research and International Relations Area.
    19. Ruppert, Kilian & Stähler, Nikolai, 2022. "What drives the German current account? Household savings, capital investments and public policies," Economic Modelling, Elsevier, vol. 108(C).
    20. Hartmut Egger & Etzel Daniel & Hagen Lesch & Holger Zernanek & Christoph Moser, 2011. "Does Europe need a coordination of national larbour-market policies?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 64(02), pages 03-15, February.
    21. Servaas Storm & C.W.M. Naastepad, 2016. "Myths, Mix-ups, and Mishandlings: Understanding the Eurozone Crisis," International Journal of Political Economy, Taylor & Francis Journals, vol. 45(1), pages 46-71, January.
    22. Christoph Böhringer & Victoria Alexeeva-Talebi, 2011. "Unilateral climate policy and competitiveness: The implications of differential emission pricing," Working Papers V-338-11, University of Oldenburg, Department of Economics, revised Jun 2011.
    23. Andrea Ginzburg & Annamaria Simonazzi, 2017. "Out of the Crisis. A radical change of strategy for the Eurozone," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 14(1), pages 13-37, June.
    24. Walter Paternesi Meloni, 2017. "Austerity & Competitiveness in the Eurozone: a misleading linkage," Departmental Working Papers of Economics - University 'Roma Tre' 0223, Department of Economics - University Roma Tre.
    25. Gour Gobinda Goswami & Farzana Alamgir, 2018. "Does Economic Growth Spillover More from the Eastern than the Western Countries? Evidence from Bangladesh’s Four Decades of Growth Experience," South Asian Survey, , vol. 25(1-2), pages 59-83, March.
    26. Hubert Gabrisch, 2015. "Net Capital Flows To And The Real Exchange Rate Of Western Balkan Countries," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 60(205), pages 31-52, April – J.
    27. Emanuele Breda & Rita Cappariello & Roberta Zizza, 2007. "Vertical Specialisation in Europe: Evidence from the Import Content of Exports," Rivista di Politica Economica, SIPI Spa, vol. 97(3), pages 189-189, May-June.
    28. Storm, Servaas & Naastepad, C.W.M., 2015. "Crisis and recovery in the German economy: The real lessons," Structural Change and Economic Dynamics, Elsevier, vol. 32(C), pages 11-24.
    29. Klaus Vondra, 2014. "Austria Holds Intra-EU Export Market Shares almost Constant despite Difficult Economic Environment," Monetary Policy & the Economy, Oesterreichische Nationalbank (Austrian Central Bank), issue 3, pages 54-74.
    30. Carfì, D. & Magaudda, M. & Schilirò, D., 2010. "Coopetitive game solutions for the eurozone economy," MPRA Paper 26541, University Library of Munich, Germany.
    31. Hancké, Bob & Coulter, Steve, 2013. "The German manufacturing sector unpacked: institutions, policies and future trajectories," LSE Research Online Documents on Economics 56090, London School of Economics and Political Science, LSE Library.
    32. A. Arrighetti & A. Ninni & E. Breda & R. Cappariello & M. Clemens & D. Schumacher, 2012. "Competitiveness in manufacturing. Germany vs. Italy – a comparison," Economics Department Working Papers 2012-EP01, Department of Economics, Parma University (Italy).
    33. Heinze, Henriette, 2018. "The determinants of German exports: An analysis of intra- and extra-EMU trade," IPE Working Papers 95/2018, Berlin School of Economics and Law, Institute for International Political Economy (IPE).
    34. Bofinger, Peter & Schnabel, Isabel & Feld, Lars P. & Schmidt, Christoph M. & Wieland, Volker, 2014. "Mehr Vertrauen in Marktprozesse. Jahresgutachten 2014/15 [More confidence in market processes. Annual Report 2014/15]," Annual Economic Reports / Jahresgutachten, German Council of Economic Experts / Sachverständigenrat zur Begutachtung der gesamtwirtschaftlichen Entwicklung, volume 127, number 201415.
    35. Marta Fana & Sergio Torrejón Pérez & Enrique Fernández-Macías, 2020. "Employment impact of Covid-19 crisis: from short term effects to long terms prospects," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 47(3), pages 391-410, September.
    36. Luigi Bonatti & Andrea Fracasso, 2013. "The German Model and the European Crisis," Journal of Common Market Studies, Wiley Blackwell, vol. 51(6), pages 1023-1039, November.
    37. Servaas Storm & C.W.M. Naastepad, 2015. "Crisis and Recovery in the German Economy: The Real Lessons," Working Papers Series 10, Institute for New Economic Thinking.
    38. Philipp Heimberger, 2018. "What Explains Austria’s Export Market Performance?," wiiw Working Papers 149, The Vienna Institute for International Economic Studies, wiiw.
    39. Annamaria Simonazzi & Andrea Ginzburg & Gianluigi Nocella, 2013. "Economic relations between Germany and southern Europe," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 37(3), pages 653-675.
    40. Paternesi Meloni, Walter, 2016. "Austerity and competitiveness in the Eurozone: a misleading linkage," MPRA Paper 75962, University Library of Munich, Germany.

  13. Mr. Frederick L Joutz & Mr. Yasser Abdih, 2005. "Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle," IMF Working Papers 2005/074, International Monetary Fund.

    Cited by:

    1. Pavel Ciaian & d'Artis Kancs & Julda Kielyte, 2016. "Migration to the EU: Social and Macroeconomic Effects on Sending Countries," EERI Research Paper Series EERI RP 2016/09, Economics and Econometrics Research Institute (EERI), Brussels.
    2. Herzer Dierk, 2022. "Semi-endogenous Versus Schumpeterian Growth Models: A Critical Review of the Literature and New Evidence," Review of Economics, De Gruyter, vol. 73(1), pages 1-55, April.
    3. Witajewski-Baltvilks, Jan & Verdolini, Elena & Tavoni, Massimo, 2015. "Directed Technological Change and Energy Efficiency Improvements," Climate Change and Sustainable Development 208910, Fondazione Eni Enrico Mattei (FEEM).
    4. Andre Jungmittag, 2007. "Innovationen, Beschäftigungsstruktur und Wachstum der totalen Faktorproduktivität," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 27(2), pages 143-170, August.
    5. Beaudreau, Bernard C. & Lightfoot, H. Douglas, 2015. "The physical limits to economic growth by R&D funded innovation," Energy, Elsevier, vol. 84(C), pages 45-52.
    6. Tamay Besiroglu & Nicholas Emery-Xu & Neil Thompson, 2022. "Economic impacts of AI-augmented R&D," Papers 2212.08198, arXiv.org, revised Jan 2023.
    7. Andre Jungmittag & Paul J.J. Welfens, 2016. "Beyond EU-US Trade Dynamics: TTIP Effects Related to Foreign Direct Investment and Innovation," EIIW Discussion paper disbei212, Universitätsbibliothek Wuppertal, University Library.
    8. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    9. Bosetti, Valentina & Cattaneo, Cristina & Verdolini, Elena, 2015. "Migration of skilled workers and innovation: A European Perspective," Journal of International Economics, Elsevier, vol. 96(2), pages 311-322.
    10. Andrea Caragliu & Peter Nijkamp, 2011. "The impact of regional absorptive capacity on spatial knowledge spillovers," Post-Print hal-00673204, HAL.
    11. Taegi Kim & Keith Maskus & Keun-Yeob Oh, 2014. "Effects of Knowledge Spillovers on Knowledge Production and Productivity Growth in Korean Manufacturing Firms," Asian Economic Journal, East Asian Economic Association, vol. 28(1), pages 63-79, March.
    12. Wu, Mingran & Zhao, Min & Wu, Zhaodan, 2019. "Evaluation of development level and economic contribution ratio of science and technology innovation in eastern China," Technology in Society, Elsevier, vol. 59(C).
    13. Acs, Zoltan J. & Estrin, Saul & Mickiewicz, Tomasz & Szerb, László, 2014. "The Continued Search for the Solow Residual: The Role of National Entrepreneurial Ecosystem," IZA Discussion Papers 8652, Institute of Labor Economics (IZA).
    14. Steven Bond‐Smith, 2019. "The Decades‐Long Dispute Over Scale Effects In The Theory Of Economic Growth," Journal of Economic Surveys, Wiley Blackwell, vol. 33(5), pages 1359-1388, December.
    15. Kim,Young Eun & Loayza,Norman V., 2019. "Productivity Growth : Patterns and Determinants across the World," Policy Research Working Paper Series 8852, The World Bank.
    16. Michael A. Verba, 2022. "Growth and innovation in the presence of knowledge and R&D accumulation dynamics," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 31(6), pages 485-510, August.
    17. Sarath Delpachitra & Pham Van Dai, 2012. "The Determinants of TFP Growth in Middle Income Economies in ASEAN: Implication of Financial Crises," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 11(1), pages 63-88, June.
    18. Zhang, Lin, 2017. "The knowledge spillover effects of FDI on the productivity and efficiency of research activities in China," China Economic Review, Elsevier, vol. 42(C), pages 1-14.
    19. Candelaria Barrios & Esther Flores & M. Ángeles Martínez & Marta Ruiz-Martínez, 2023. "Are the Major Knowledge-producing Countries Converging in Science and Technology Capabilities?," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(4), pages 4534-4560, December.
    20. James B. Ang & Jakob B. Madsen, 2011. "Can Second-Generation Endogenous Growth Models Explain the Productivity Trends and Knowledge Production in the Asian Miracle Economies?," The Review of Economics and Statistics, MIT Press, vol. 93(4), pages 1360-1373, November.
    21. Rachel L. Ngai, 2007. "An R&D-based Model of Multi-sector Growth," 2007 Meeting Papers 349, Society for Economic Dynamics.
    22. Andre Jungmittag & Paul J. J. Welfens, 2020. "EU-US trade post-trump perspectives: TTIP aspects related to foreign direct investment and innovation," International Economics and Economic Policy, Springer, vol. 17(1), pages 259-294, February.
    23. Yanyan Sun & Sha Fan, 2023. "Chinese Outward Foreign Direct Investment and Innovation in Host Countries: Evidence from Countries Along the Belt and Road," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 15(2), pages 234-253, May.
    24. Jens K. Perret, 2019. "Re-Evaluating the Knowledge Production Function for the Regions of the Russian Federation," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(2), pages 670-694, June.
    25. Grafström, Jonas, 2021. "Ratio Working Paper No. 351: Knowledge Spillovers in the Solar energy sector," Ratio Working Papers 351, The Ratio Institute.
    26. Almeida, Derick & Naudé, Wim & Sequeira, Tiago Neves, 2024. "Artificial Intelligence and the Discovery of New Ideas: Is an Economic Growth Explosion Imminent?," IZA Discussion Papers 16766, Institute of Labor Economics (IZA).
    27. Herzer, Dierk, 2020. "How does mortality affect innovative activity in the long run?," World Development, Elsevier, vol. 125(C).
    28. Andrea Caragliu & Peter Nijkamp, 2012. "The impact of regional absorptive capacity on spatial knowledge spillovers: the Cohen and Levinthal model revisited," Applied Economics, Taylor & Francis Journals, vol. 44(11), pages 1363-1374, April.
    29. Sánchez, Marco V. & Cicowiez, Martín, 2014. "Trade-offs and Payoffs of Investing in Human Development," World Development, Elsevier, vol. 62(C), pages 14-29.
    30. Han, Yoo-Jin, 2007. "Measuring industrial knowledge stocks with patents and papers," Journal of Informetrics, Elsevier, vol. 1(4), pages 269-276.
    31. Zhen Zhang & Minggang Wang & Lixin Tian & Wenbin Zhang, 2017. "Research on the development efficiency of regional high-end talent in China: A complex network approach," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-18, December.
    32. Pradhan, Jaya Prakash, 2013. "The Geography of Patenting In India: Patterns and Determinants," MPRA Paper 50595, University Library of Munich, Germany.
    33. Samira Hasanzadeh, 2017. "Dissemination of Two Faces of Knowledge: Do Liberal-Democracy and Income-Level Matter?," Carleton Economic Papers 17-09, Carleton University, Department of Economics.
    34. Omer Yalcinkaya & Halil Ibrahim Aydin & Ismail Siriner, 2016. "Macroeconomic Determinants Of Total Factor Productivity: New Generation Panel Data Analysis On Oecd Countries (1996-2015)," Annals - Economy Series, Constantin Brancusi University, Faculty of Economics, vol. 6, pages 4-16, December.
    35. Herzer, Dierk, 2022. "The impact of domestic and foreign R&D on TFP in developing countries," World Development, Elsevier, vol. 151(C).
    36. Paulo Matos & Pedro Neves, 2020. "The Determinants of Total Factor Productivity in the Portuguese Quaternary Sector," GEE Papers 0149, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Apr 2020.
    37. Nishat Tasnim & Munshi Naser Ibne Afzal, 2018. "An empirical investigation of country level efficiency and national systems of entrepreneurship using Data Envelopment Analysis (DEA) and the TOBIT model," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 8(1), pages 1-17, December.
    38. Welfens, Paul J. J., 2016. "Integrated Macroeconomic Production Function for Open Economies: A New Schumpeterian Solow Model for Globalization," IZA Discussion Papers 9724, Institute of Labor Economics (IZA).
    39. Ziesemer, Thomas, 2020. "Semi-endogenous growth models with domestic and foreign private and public R&D linked to VECMs with evidence for five countries," MERIT Working Papers 2020-013, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    40. Neves, Pedro Cunha & Sequeira, Tiago Neves, 2018. "Spillovers in the production of knowledge: A meta-regression analysis," Research Policy, Elsevier, vol. 47(4), pages 750-767.
    41. Esteban Lafuente & László Szerb & Zoltan J. Acs, 2016. "Country level efficiency and national systems of entrepreneurship: a data envelopment analysis approach," The Journal of Technology Transfer, Springer, vol. 41(6), pages 1260-1283, December.
    42. Eberhardt, Markus & Helmers, Christian & Strauss, Hubert, 2010. "Do spillovers matter when estimating private returns to R&D?," Economic and Financial Reports 2010/1, European Investment Bank, Economics Department.
    43. Octavian Åžerban, 2020. "From Endogenous Growth Theory to Knowledge Economy Pyramid - Comparative Analysis of Knowledge as an Endogenous Factor of Development," Book chapters-LUMEN Proceedings, in: Marcin Waldemar STANIEWSKI & Valentina VASILE & Adriana Grigorescu (ed.), International Conference Innovative Business Management & Global Entrepreneurship (IBMAGE 2020), edition 1, volume 14, chapter 9, pages 108-128, Editura Lumen.
    44. Jens K. Perret, 2016. "A Spatial Knowledge Production Function Approach for the Regions of the Russian Federation," EIIW Discussion paper disbei217, Universitätsbibliothek Wuppertal, University Library.
    45. Valentina Bosetti & Cristina Cattaneo & Elena Verdolini, 2012. "Migration, Cultural Diversity and Innovation: A European Perspective," Working Papers 469, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    46. Paul J.J. Welfens, 2016. "Schumpeterian Macroeconomic Production Function for Open Economies: A New Endogenous Knowledge and Output Analysis," EIIW Discussion paper disbei211, Universitätsbibliothek Wuppertal, University Library.
    47. Mr. Frederick L Joutz & Mr. Yasser Abdih, 2008. "The Impact of Public Capital, Human Capital, and Knowledge on Aggregate Output," IMF Working Papers 2008/218, International Monetary Fund.
    48. Paula Puskarova & Philipp Piribauer, 2014. "The impact of knowledge spillovers on regional total factor productivity. New empirical evidence from selected European countries," ERSA conference papers ersa14p1813, European Regional Science Association.
    49. Sasaki, Hiroaki & Hoshida, Keisuke, 2014. "Semi-Endogenous R&D Growth Model with Negative Population Growth," MPRA Paper 53833, University Library of Munich, Germany.
    50. Roberto M Samaniego, 2005. "Investment-Specific Technical Change and the Production of Ideas," Computing in Economics and Finance 2005 291, Society for Computational Economics.
    51. Jens K. Perret, 2016. "An Alternative Approach towards the Knowledge Production Function on a Regional Level - Applications for the USA and Russia," Schumpeter Discussion Papers SDP16003, Universitätsbibliothek Wuppertal, University Library.

  14. Gamber, Edward N. & Joutz, Frederick L., 2005. "The Yield Curve Slope and Monetary Policy Innovations," Economics Series 171, Institute for Advanced Studies.

    Cited by:

    1. Edward N Gamber & Julie K Smith, 2020. "Monetary policy and the yield curve," Economics Bulletin, AccessEcon, vol. 40(1), pages 407-424.

  15. Joutz, Frederick L. & Trost, Robert P. & Hallahan, Charles B. & Clauson, Annette L. & Denbaly, Mark, 2000. "Retail Food Price Forecasting At Ers: The Process, Methodology, And Performance From 1984 To 1997," Technical Bulletins 33575, United States Department of Agriculture, Economic Research Service.

    Cited by:

    1. Amiri, Arshia & Bakhshoodeh, Mohamad & Najafi, Bahaeddin, 2011. "Forecasting seasonality in prices of potatoes and onions: challenge between geostatistical models, neuro fuzzy approach and Winter method," MPRA Paper 34093, University Library of Munich, Germany.
    2. Kuhns, Annemarie & Leibtag, Ephraim & Volpe, Richard & Roeger, Ed, 2015. "How USDA Forecasts Retail Food Price Inflation," Technical Bulletins 206500, United States Department of Agriculture, Economic Research Service.

  16. Denbaly, Mark & Hallahan, Charles & Joutz, Fred & Reed, Albert & Trost, Robert, 1996. "Forecasting Seven Components of the Food CPI: An Initial Assessment," Technical Bulletins 156790, United States Department of Agriculture, Economic Research Service.

    Cited by:

    1. Covey, Theodore & Erickson, Kenneth W., 2003. "Evaluating USDA Forecasts of Farm Assets: 1986-2002," 2003 Regional Committee NCT-194, October 6-7, 2003; Kansas City, Missouri 132405, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    2. Unknown, 2004. "Agricultural Finance Markets in Transition Proceedings of The Annual Meeting of NCT-194 Hosted by the Center for the Study of Rural America, Federal Reserve Bank of Kansas City October 6 - 7, 2003," Research Bulletins 122103, Cornell University, Department of Applied Economics and Management.

Articles

  1. Fakhri J. Hasanov & Muhammad Javid & Frederick L. Joutz, 2022. "Saudi Non-Oil Exports before and after COVID-19: Historical Impacts of Determinants and Scenario Analysis," Sustainability, MDPI, vol. 14(4), pages 1-38, February.
    See citations under working paper version above.
  2. Fakhri J. Hasanov & Jeyhun I. Mikayilov & Muhammad Javid & Moayad Al-Rasasi & Frederick Joutz & Mohammed B Alabdullah, 2021. "Sectoral employment analysis for Saudi Arabia," Applied Economics, Taylor & Francis Journals, vol. 53(45), pages 5267-5280, September.

    Cited by:

    1. Elshurafa, Amro M. & Alatawi, Hatem & Hasanov, Fakhri J. & Algahtani, Goblan J. & Felder, Frank A., 2022. "Cost, emission, and macroeconomic implications of diesel displacement in the Saudi agricultural sector: Options and policy insights," Energy Policy, Elsevier, vol. 168(C).

  3. Atalla, Tarek & Joutz, Fred & Pierru, Axel, 2016. "Does disagreement among oil price forecasters reflect volatility? Evidence from the ECB surveys," International Journal of Forecasting, Elsevier, vol. 32(4), pages 1178-1192.

    Cited by:

    1. Gonzalo Cortazar & Cristobal Millard & Hector Ortega & Eduardo S. Schwartz, 2016. "Commodity Price Forecasts, Futures Prices and Pricing Models," NBER Working Papers 22991, National Bureau of Economic Research, Inc.
    2. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“A geometric approach to proxy economic uncertainty by a metric of disagreement among qualitative expectations”," AQR Working Papers 201803, University of Barcelona, Regional Quantitative Analysis Group, revised Jun 2018.
    3. Qingqing Hu & Tinghui Li & Xue Li & Hao Dong, 2021. "Dynamic Characteristics of Oil Attributes and Their Market Effects," Energies, MDPI, vol. 14(13), pages 1-22, June.
    4. Oscar Claveria, 2020. "Measuring and assessing economic uncertainty," IREA Working Papers 202011, University of Barcelona, Research Institute of Applied Economics, revised Jul 2020.
    5. Ruttachai Seelajaroen & Pornanong Budsaratragoon & Boonlert Jitmaneeroj, 2020. "Do monetary policy transparency and central bank communication reduce interest rate disagreement?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 368-393, April.
    6. Robert L. Czudaj, 2021. "Heterogeneity of Beliefs and Information Rigidity in the Crude Oil Market: Evidence from Survey Data," Chemnitz Economic Papers 050, Department of Economics, Chemnitz University of Technology, revised Sep 2021.
    7. Glas, Alexander & Heinisch, Katja, 2021. "Conditional macroeconomic forecasts: Disagreement, revisions and forecast errors," IWH Discussion Papers 7/2021, Halle Institute for Economic Research (IWH).
    8. Glas, Alexander & Heinisch, Katja, 2023. "Conditional macroeconomic survey forecasts: Revisions and errors," Journal of International Money and Finance, Elsevier, vol. 138(C).
    9. Oscar Claveria, 2021. "Uncertainty indicators based on expectations of business and consumer surveys," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 48(2), pages 483-505, May.
    10. Oscar Claveria, 2021. "On the Aggregation of Survey-Based Economic Uncertainty Indicators Between Different Agents and Across Variables," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(1), pages 1-26, April.
    11. Li, Yan & Liang, Chao & L.D. Huynh, Toan, 2022. "A new momentum measurement in the Chinese stock market," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
    12. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Economic Uncertainty: A Geometric Indicator of Discrepancy Among Experts’ Expectations," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 95-114, May.
    13. Li, Xuerong & Shang, Wei & Wang, Shouyang, 2019. "Text-based crude oil price forecasting: A deep learning approach," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1548-1560.
    14. Yu, Lean & Zhao, Yaqing & Tang, Ling & Yang, Zebin, 2019. "Online big data-driven oil consumption forecasting with Google trends," International Journal of Forecasting, Elsevier, vol. 35(1), pages 213-223.
    15. Oscar Claveria, 2021. "Disagreement on expectations: firms versus consumers," SN Business & Economics, Springer, vol. 1(12), pages 1-23, December.
    16. Wachtmeister, Henrik & Henke, Petter & Höök, Mikael, 2018. "Oil projections in retrospect: Revisions, accuracy and current uncertainty," Applied Energy, Elsevier, vol. 220(C), pages 138-153.

  4. Chen, Yihsu & Hobbs, Benjamin F. & Hugh Ellis, J. & Crowley, Christian & Joutz, Frederick, 2015. "Impacts of climate change on power sector NOx emissions: A long-run analysis of the US mid-atlantic region," Energy Policy, Elsevier, vol. 84(C), pages 11-21.

    Cited by:

    1. Arjmand, Reza & McPherson, Madeleine, 2022. "Canada's electricity system transition under alternative policy scenarios," Energy Policy, Elsevier, vol. 163(C).
    2. Krieger, Elena M. & Casey, Joan A. & Shonkoff, Seth B.C., 2016. "A framework for siting and dispatch of emerging energy resources to realize environmental and health benefits: Case study on peaker power plant displacement," Energy Policy, Elsevier, vol. 96(C), pages 302-313.
    3. Garra, Patxi & Leyssens, Gontrand & Allgaier, Olivier & Schönnenbeck, Cornelius & Tschamber, Valérie & Brilhac, Jean-François & Tahtouh, Toni & Guézet, Olivier & Allano, Sylvain, 2017. "Magnesium/air combustion at pilot scale and subsequent PM and NOx emissions," Applied Energy, Elsevier, vol. 189(C), pages 578-587.
    4. Ma, Teng & Takeuchi, Kenji, 2017. "Technology choice for reducing NOx emissions: An empirical study of Chinese power plants," Energy Policy, Elsevier, vol. 102(C), pages 362-376.
    5. Campbell, Alrick, 2018. "Cap prices or cap revenues? The dilemma of electric utility networks," Energy Economics, Elsevier, vol. 74(C), pages 802-812.

  5. Hutson, Mark & Joutz, Fred & Stekler, Herman, 2014. "Interpreting and evaluating CESIfo's World Economic Survey directional forecasts," Economic Modelling, Elsevier, vol. 38(C), pages 6-11.

    Cited by:

    1. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "A Data-Driven Approach to Construct Survey-Based Indicators by Means of Evolutionary Algorithms," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 135(1), pages 1-14, January.
    2. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "“Let the data do the talking: Empirical modelling of survey-based expectations by means of genetic programming”," AQR Working Papers 201706, University of Barcelona, Regional Quantitative Analysis Group, revised May 2017.
    3. Bespalova, Olga, 2018. "Forecast Evaluation in Macroeconomics and International Finance. Ph.D. thesis, George Washington University, Washington, DC, USA," MPRA Paper 117706, University Library of Munich, Germany.
    4. Behrens, Christoph & Pierdzioch, Christian & Risse, Marian, 2018. "Testing the optimality of inflation forecasts under flexible loss with random forests," Economic Modelling, Elsevier, vol. 72(C), pages 270-277.
    5. Garnitz, Johanna & Lehmann, Robert & Wohlrabe, Klaus, 2019. "Forecasting GDP all over the world using leading indicators based on comprehensive survey data," Munich Reprints in Economics 78264, University of Munich, Department of Economics.
    6. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Empirical modelling of survey-based expectations for the design of economic indicators in five European regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(2), pages 205-227, May.
    7. Oscar Claveria & Enric Monte & Salvador Torra, 2017. "A new approach for the quantification of qualitative measures of economic expectations," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2685-2706, November.
    8. Boumans, Dorine & Garnitz, Johanna, 2017. "Ifo World Economic Survey Database - An International Economic Expert Survey," Munich Reprints in Economics 55041, University of Munich, Department of Economics.
    9. Claveria, Oscar & Monte, Enric & Torra, Salvador, 2020. "Economic forecasting with evolved confidence indicators," Economic Modelling, Elsevier, vol. 93(C), pages 576-585.
    10. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers 201801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2018.
    11. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Evolutionary Computation for Macroeconomic Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 833-849, February.
    12. Tsuchiya, Yoichi, 2016. "Do production managers predict turning points? A directional analysis," Economic Modelling, Elsevier, vol. 58(C), pages 1-8.
    13. Stefan Sauer & Klaus Wohlrabe, 2020. "ifo Handbuch der Konjunkturumfragen," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 88.
    14. Oscar Claveria & Enric Monte & Salvador Torra, 2021. ""Nowcasting and forecasting GDP growth with machine-learning sentiment indicators"," IREA Working Papers 202103, University of Barcelona, Research Institute of Applied Economics, revised Feb 2021.

  6. Cohen, Gail & Joutz, Frederick & Loungani, Prakash, 2011. "Measuring energy security: Trends in the diversification of oil and natural gas supplies," Energy Policy, Elsevier, vol. 39(9), pages 4860-4869, September.
    See citations under working paper version above.
  7. Joutz, Frederick L., 2010. "Interview with Herman O. Stekler," International Journal of Forecasting, Elsevier, vol. 26(1), pages 195-203, January.

    Cited by:

    1. Tara M. Sinclair, 2019. "Continuities and Discontinuities in Economic Forecasting," Working Papers 2019-003, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.

  8. Laura I. Schultz & Frederick L. Joutz, 2010. "Methods for identifying emerging General Purpose Technologies: a case study of nanotechnologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 155-170, October.

    Cited by:

    1. Munari, Federico & Toschi, Laura, 2014. "Running ahead in the nanotechnology gold rush. Strategic patenting in emerging technologies," Technological Forecasting and Social Change, Elsevier, vol. 83(C), pages 194-207.
    2. Zhang, Yi & Wu, Mengjia & Miao, Wen & Huang, Lu & Lu, Jie, 2021. "Bi-layer network analytics: A methodology for characterizing emerging general-purpose technologies," Journal of Informetrics, Elsevier, vol. 15(4).
    3. Laura Schultz, 2011. "Nanotechnology’s triple helix: a case study of the University at Albany’s College of Nanoscale Science and Engineering," The Journal of Technology Transfer, Springer, vol. 36(5), pages 546-564, October.
    4. Wooseok Jang & Yongtae Park & Hyeonju Seol, 2021. "Identifying emerging technologies using expert opinions on the future: A topic modeling and fuzzy clustering approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6505-6532, August.
    5. Francesco Paolo Appio & Antonella Martini & Gualtiero Fantoni, 2017. "The light and shade of knowledge recombination: Insights from a general-purpose technology," Post-Print halshs-02292316, HAL.
    6. Kreuchauff, Florian & Teichert, Nina, 2014. "Nanotechnology as general purpose technology," Working Paper Series in Economics 53, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    7. Mario Coccia, 2017. "General purpose technologies in dynamic systems: visual representation and analyses of complex drivers," IRCrES Working Paper 201705, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    8. Mario COCCIA, 2017. "The Fishbone diagram to identify, systematize and analyze the sources of general purpose technologies," Journal of Social and Administrative Sciences, KSP Journals, vol. 4(4), pages 291-303, December.
    9. Liu, Yong & Du, Jun-liang & Yang, Jin-bi & Qian, Wu-yong & Forrest, Jeffrey Yi-Lin, 2019. "An incentive mechanism for general purpose technologies R&D based on the concept of super-conflict equilibrium: Empirical evidence from nano industrial technology in China," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 185-197.
    10. Xu, Shuo & Hao, Liyuan & An, Xin & Yang, Guancan & Wang, Feifei, 2019. "Emerging research topics detection with multiple machine learning models," Journal of Informetrics, Elsevier, vol. 13(4).
    11. Kathryn Rudie Harrigan & Yunzhe Fang, 2020. "The financial benefits of persistently high forward citations," The Journal of Technology Transfer, Springer, vol. 45(2), pages 619-647, April.
    12. Ugo Finardi, 2011. "Time relations between scientific production and patenting of knowledge: the case of nanotechnologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 37-50, October.

  9. Leesombatpiboon, Poonpat & Joutz, Frederick L., 2010. "Sectoral demand for petroleum in Thailand," Energy Economics, Elsevier, vol. 32(Supplemen), pages 15-25, September.

    Cited by:

    1. Archanskaïa, Elizaveta & Creel, Jérôme & Hubert, Paul, 2012. "The nature of oil shocks and the global economy," Energy Policy, Elsevier, vol. 42(C), pages 509-520.
    2. Luis Miguel Galindo & Jimy Ferrer Carbonell & José Eduardo Alatorre & Orlando Reyes, 2015. "Metaanálisis de las elasticidades ingreso y precio de la demanda de energía: algunas implicaciones de politica pública para América Latina," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 38(75), pages 9-40.
    3. Yusof, Ahmad & Raman, Maznah & Nopiah, Zulkifli, 2013. "Modeling of the Malaysian Crude Oil System," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 47(1), pages 125-130.
    4. Janthana Kunchornrat & Aumnad Phdungsilp, 2012. "Multi-Level Governance of Low-Carbon Energy Systems in Thailand," Energies, MDPI, vol. 5(3), pages 1-14, February.
    5. Galindo, Luis Miguel & Samaniego, Joseluis & Ferrer, Jimy & Alatorre, José Eduardo & Reyes, Orlando, 2016. "Cambio climático, políticas públicas y demanda de energía y gasolinas en América Latina: un meta-análisis," Documentos de Proyectos 40841, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    6. Kannika Duangnate & James W. Mjelde, 2022. "The Role of Pre-Commitments and Engle Curves in Thailand’s Aggregate Energy Demand System," Energies, MDPI, vol. 15(4), pages 1-16, February.

  10. Sinclair, Tara M. & Joutz, Fred & Stekler, H.O., 2010. "Can the Fed predict the state of the economy?," Economics Letters, Elsevier, vol. 108(1), pages 28-32, July.
    See citations under working paper version above.
  11. Angela Poulakidas & Fred Joutz, 2009. "Exploring the link between oil prices and tanker rates," Maritime Policy & Management, Taylor & Francis Journals, vol. 36(3), pages 215-233, June.

    Cited by:

    1. Bai, Xiwen & Lam, Jasmine Siu Lee, 2021. "Freight rate co-movement and risk spillovers in the product tanker shipping market: A copula analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    2. Wenming Shi & Zhongzhi Yang & Kevin X. Li, 2013. "The impact of crude oil price on the tanker market," Maritime Policy & Management, Taylor & Francis Journals, vol. 40(4), pages 309-322, July.
    3. Sun, Xiaolei & Liu, Chang & Wang, Jun & Li, Jianping, 2020. "Assessing the extreme risk spillovers of international commodities on maritime markets: A GARCH-Copula-CoVaR approach," International Review of Financial Analysis, Elsevier, vol. 68(C).
    4. Vangelis Tsioumas & Stratos Papadimitriou, 2018. "The dynamic relationship between freight markets and commodity prices revealed," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 20(2), pages 267-279, June.
    5. Anna, Merika & Anna, Triantafyllou & George, Zombanakis, 2019. "Wage and tax competitiveness: The case of Hellenic shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 255-270.
    6. Maitra, Debasish & Rehman, Mobeen Ur & Dash, Saumya Ranjan & Kang, Sang Hoon, 2021. "Oil price volatility and the logistics industry: Dynamic connectedness with portfolio implications," Energy Economics, Elsevier, vol. 102(C).
    7. Ki-Hong Choi & Seong-Min Yoon, 2020. "Asymmetric Dependence between Oil Prices and Maritime Freight Rates: A Time-Varying Copula Approach," Sustainability, MDPI, vol. 12(24), pages 1-16, December.
    8. Sun, Xiaolei & Tang, Ling & Yang, Yuying & Wu, Dengsheng & Li, Jianping, 2014. "Identifying the dynamic relationship between tanker freight rates and oil prices: In the perspective of multiscale relevance," Economic Modelling, Elsevier, vol. 42(C), pages 287-295.
    9. Sun, Xiaolin & Haralambides, Hercules & Liu, Hailong, 2019. "Dynamic spillover effects among derivative markets in tanker shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 384-409.
    10. Adewuyi, Adeolu O. & Adeleke, Musefiu A. & Tiwari, Aviral Kumar & Aikins Abakah, Emmanuel Joel, 2023. "Dynamic linkages between shipping and commodity markets: Evidence from a novel asymmetric time-frequency method," Resources Policy, Elsevier, vol. 83(C).
    11. Sunil K. Mohanty & Roar Aadland & Sjur Westgaard & Stein Frydenberg & Hilde Lillienskiold & Cecilie Kristensen, 2021. "Modelling Stock Returns and Risk Management in the Shipping Industry," JRFM, MDPI, vol. 14(4), pages 1-25, April.
    12. Arunava Bandyopadhyay & Prabina Rajib, 2023. "The asymmetric relationship between Baltic Dry Index and commodity spot prices: evidence from nonparametric causality-in-quantiles test," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 217-237, June.
    13. Maitra, Debasish & Chandra, Saurabh & Dash, Saumya Ranjan, 2020. "Liner shipping industry and oil price volatility: Dynamic connectedness and portfolio diversification," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    14. Abdullah Açık & Özhan Okutucu & Kamil Özden Efes & Sadık Özlen Başer, 2021. "Analyzing the Impact of Interest Rate on Dry Bulk Freight Market with Time-Varying Causality Method," Journal of Research in Economics, Politics & Finance, Ersan ERSOY, vol. 6(2), pages 403-417.
    15. Wenming Shi & Kevin X. Li, 2017. "Themes and tools of maritime transport research during 2000-2014," Maritime Policy & Management, Taylor & Francis Journals, vol. 44(2), pages 151-169, February.
    16. Shi, Wenming & Gong, Yuting & Yin, Jingbo & Nguyen, Son & Liu, Qian, 2022. "Determinants of dynamic dependence between the crude oil and tanker freight markets: A mixed-frequency data sampling copula model," Energy, Elsevier, vol. 254(PB).
    17. Goulas, Lambros & Skiadopoulos, George, 2012. "Are freight futures markets efficient? Evidence from IMAREX," International Journal of Forecasting, Elsevier, vol. 28(3), pages 644-659.
    18. Skantzouri, Efthymia Nefeli & Sambracos, Evangelos, 2018. "Freight Rate Volatility and Vessels Size in Tankers’ Sector," MPRA Paper 97896, University Library of Munich, Germany, revised 25 Nov 2019.
    19. Bai, Xiwen & Lam, Jasmine Siu Lee, 2019. "A copula-GARCH approach for analyzing dynamic conditional dependency structure between liquefied petroleum gas freight rate, product price arbitrage and crude oil price," Energy Economics, Elsevier, vol. 78(C), pages 412-427.
    20. Zhang, Yi, 2018. "Investigating dependencies among oil price and tanker market variables by copula-based multivariate models," Energy, Elsevier, vol. 161(C), pages 435-446.
    21. Siddiqui, Atiq W. & Basu, Rounaq, 2020. "An empirical analysis of relationships between cyclical components of oil price and tanker freight rates," Energy, Elsevier, vol. 200(C).
    22. Chen, Feier & Miao, Yuqi & Tian, Kang & Ding, Xiaoxu & Li, Tingyi, 2017. "Multifractal cross-correlations between crude oil and tanker freight rate," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 344-354.

  12. Stephan Danninger & Fred Joutz, 2008. "What Explains Germany's Rebounding Export Market Share?," CESifo Economic Studies, CESifo Group, vol. 54(4), pages 681-714, December.
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  13. Fred Joutz & Michael P. Clements & Herman O. Stekler, 2007. "An evaluation of the forecasts of the federal reserve: a pooled approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 121-136.

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    1. Sinclair, Tara M. & Gamber, Edward N. & Stekler, Herman & Reid, Elizabeth, 2012. "Jointly evaluating the Federal Reserve’s forecasts of GDP growth and inflation," International Journal of Forecasting, Elsevier, vol. 28(2), pages 309-314.
    2. Carola Conces Binder & Rodrigo Sekkel, 2023. "Central Bank Forecasting: A Survey," Staff Working Papers 23-18, Bank of Canada.
    3. Katharina Glass & Ulrich Fritsche, 2015. "Real-time Macroeconomic Data and Uncertainty," Macroeconomics and Finance Series 201406, University of Hamburg, Department of Socioeconomics.
    4. Chen, Qiwei & Costantini, Mauro & Deschamps, Bruno, 2016. "How accurate are professional forecasts in Asia? Evidence from ten countries," International Journal of Forecasting, Elsevier, vol. 32(1), pages 154-167.
    5. Tara Sinclair & Herman O. Stekler & Warren Carnow, 2012. "A New Approach For Evaluating Economic Forecasts," Working Papers 2012-2, The George Washington University, Institute for International Economic Policy.
    6. Silvija Vlah Jerić & Mihovil Anđelinović, 2019. "Evaluating Croatian stock index forecasts," Empirical Economics, Springer, vol. 56(4), pages 1325-1339, April.
    7. Travis J. Berge & Andrew C. Chang & Nitish R. Sinha, 2019. "Evaluating the Conditionality of Judgmental Forecasts," Finance and Economics Discussion Series 2019-002, Board of Governors of the Federal Reserve System (U.S.).
    8. Arai, Natsuki, 2014. "Using forecast evaluation to improve the accuracy of the Greenbook forecast," International Journal of Forecasting, Elsevier, vol. 30(1), pages 12-19.
    9. Hans Christian Müller-Dröge & Tara M. Sinclair & Herman O. Stekler, 2014. "Evaluating Forecasts Of A Vector Of Variables: A German Forecasting Competition," Working Papers 2014-004, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    10. Sun, Yuying & Wang, Shouyang & Zhang, Xun, 2018. "How efficient are China's macroeconomic forecasts? Evidences from a new forecasting evaluation approach," Economic Modelling, Elsevier, vol. 68(C), pages 506-513.
    11. Mihaela SIMIONESCU, 2015. "The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance," Management Dynamics in the Knowledge Economy, College of Management, National University of Political Studies and Public Administration, vol. 3(1), pages 133-149, March.
    12. Ager, P. & Kappler, M. & Osterloh, S., 2009. "The accuracy and efficiency of the Consensus Forecasts: A further application and extension of the pooled approach," International Journal of Forecasting, Elsevier, vol. 25(1), pages 167-181.
    13. Paul Hubert, 2009. "An Empirical Review of Federal Reserve’s Informational Advantage," Documents de Travail de l'OFCE 2009-03, Observatoire Francais des Conjonctures Economiques (OFCE).
    14. Demetrescu, Matei & Hacıoğlu Hoke, Sinem, 2019. "Predictive regressions under asymmetric loss: Factor augmentation and model selection," International Journal of Forecasting, Elsevier, vol. 35(1), pages 80-99.
    15. Dean Croushore & Simon van Norden, 2017. "Fiscal Surprises At The Fomc," Working Papers 17-13, Federal Reserve Bank of Philadelphia.
    16. Kappler, Marcus, 2007. "Projecting the Medium-Term: Outcomes and Errors for GDP Growth," ZEW Discussion Papers 07-068, ZEW - Leibniz Centre for European Economic Research.
    17. Eleonora Granziera & Pirkka Jalasjoki & Maritta Paloviita, 2021. "The Bias and Efficiency of the ECB Inflation Projections: a State Dependent Analysis," Working Paper 2021/1, Norges Bank.
    18. Xiao, Jinzhi, 2015. "Essays on the forecasts of ending stocks," ISU General Staff Papers 201501010800005902, Iowa State University, Department of Economics.
    19. Paul Hubert, 2015. "Revisiting the Greenbook’s relative forecasting performance," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(1), pages 151-179.
    20. Messina, Jeffrey D. & Sinclair, Tara M. & Stekler, Herman, 2015. "What can we learn from revisions to the Greenbook forecasts?," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 54-62.
    21. Mihaela Simionescu, 2014. "Directional accuracy for inflation and unemployment rate predictions in Romania," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 7(2), pages 129-138, September.
    22. Paul Hubert, 2009. "Informational Advantage and Influence of Communicating Central Banks," Documents de Travail de l'OFCE 2009-04, Observatoire Francais des Conjonctures Economiques (OFCE).
    23. Kajal Lahiri, 2012. "Comment on "Forecast Rationality Tests Based on Multi-Horizon Bounds" by Andrew Patton and Allan Timmermann. Journal of Business and Economic Statistics, No. 1, Vol. 30, 2012, pp.1-17," Discussion Papers 12-10, University at Albany, SUNY, Department of Economics.
    24. Sinclair, Tara M. & Stekler, H.O. & Carnow, Warren, 2015. "Evaluating a vector of the Fed’s forecasts," International Journal of Forecasting, Elsevier, vol. 31(1), pages 157-164.
    25. Granziera, Eleonora & Jalasjoki, Pirkka & Paloviita, Maritta, 2021. "The bias and efficiency of the ECB inflation projections: A state dependent analysis," Bank of Finland Research Discussion Papers 7/2021, Bank of Finland.
    26. Sheng, Xuguang (Simon), 2015. "Evaluating the economic forecasts of FOMC members," International Journal of Forecasting, Elsevier, vol. 31(1), pages 165-175.
    27. Kontogeorgos, Georgios & Lambrias, Kyriacos, 2019. "An analysis of the Eurosystem/ECB projections," Working Paper Series 2291, European Central Bank.
    28. Peter Tillmann, 2011. "Reputation and Forecast Revisions: Evidence from the FOMC," MAGKS Papers on Economics 201128, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    29. 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.
    30. Davies, Antony, 2006. "A framework for decomposing shocks and measuring volatilities derived from multi-dimensional panel data of survey forecasts," International Journal of Forecasting, Elsevier, vol. 22(2), pages 373-393.
    31. Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465, April.
    32. Xiao, Jinzhi & Lence, Sergio H. & Hart, Chad, 2014. "Usda And Private Analysts' Forecasts Of Ending Stocks: How Good Are They?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170642, Agricultural and Applied Economics Association.
    33. Paul Hubert, 2015. "Do Central Bank forecasts influence private agents? Forecasting Performance vs. Signals," Post-Print hal-03399242, HAL.
    34. Xiao, Jinzhi & Lence, Sergio H. & Hart, Chad E., 2015. "Do analysts forecast the ending stocks or the USDA forecasts?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205759, Agricultural and Applied Economics Association.
    35. Andrew C. Chang & Trace J. Levinson, 2023. "Raiders of the lost high‐frequency forecasts: New data and evidence on the efficiency of the Fed's forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 88-104, January.
    36. Papastamos, Dimitrios & Matysiak, George & Stevenson, Simon, 2015. "Assessing the accuracy and dispersion of real estate investment forecasts," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 141-152.
    37. Dovern, Jonas & Weisser, Johannes, 2008. "Are they really rational? Assessing professional macro-economic forecasts from the G7-countries," Kiel Working Papers 1447, Kiel Institute for the World Economy (IfW Kiel).
    38. Binder, Carola Conces & Wetzel, Samantha, 2018. "The FOMC versus the staff, revisited: When do policymakers add value?," Economics Letters, Elsevier, vol. 171(C), pages 72-75.
    39. Geoff Kenny & Thomas Kostka & Federico Masera, 2015. "Can Macroeconomists Forecast Risk? Event-Based Evidence from the Euro-Area SPF," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 1-46, December.
    40. Deschamps, Bruno & Ioannidis, Christos, 2013. "Can rational stubbornness explain forecast biases?," Journal of Economic Behavior & Organization, Elsevier, vol. 92(C), pages 141-151.
    41. Jones, Adam T. & Ogden, Richard E., 2017. "A day late and a dollar short: The effect of policy uncertainty on fed forecast errors," Economic Analysis and Policy, Elsevier, vol. 54(C), pages 112-122.
    42. Paul Hubert, 2010. "Monetary policy, imperfect information and the expectations channel [Politique monétaire,information imparfaite et canal des anticipations]," SciencePo Working papers Main tel-04095385, HAL.
    43. Strunz, Franziska & Gödl, Maximilian, 2023. "An Evaluation of Professional Forecasts for the German Economy," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277707, Verein für Socialpolitik / German Economic Association.
    44. Dimitrios Papastamos & George Matysiak & Simon Stevenson, 2014. "A Comparative Analysis of the Accuracy and Uncertainty in Real Estate and Macroeconomic Forecasts," Real Estate & Planning Working Papers rep-wp2014-06, Henley Business School, University of Reading.
    45. Engelke, Carola & Heinisch, Katja & Schult, Christoph, 2019. "How forecast accuracy depends on conditioning assumptions," IWH Discussion Papers 18/2019, Halle Institute for Economic Research (IWH).
    46. Lillian R. Gaeto & Sandeep Mazumder, 2019. "Measuring the Accuracy of Federal Reserve Forecasts," Southern Economic Journal, John Wiley & Sons, vol. 85(3), pages 960-984, January.
    47. Paul Hubert, 2010. "Monetary Policy, Imperfect Information and the Expectations Channel," Sciences Po publications info:hdl:2441/f4rshpf3v1u, Sciences Po.
    48. Sergey V. Smirnov, 2014. "Predicting US Recessions: Does a Wishful Bias Exist?," HSE Working papers WP BRP 77/EC/2014, National Research University Higher School of Economics.
    49. Vereda, Luciano & Savignon, João & Gouveia da Silva, Tarciso, 2021. "A new method to assess the degree of information rigidity using fixed-event forecasts," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1576-1589.

  14. Cowan, Adrian M. & Joutz, Frederick L., 2006. "An unobserved component model of asset pricing across financial markets," International Review of Financial Analysis, Elsevier, vol. 15(1), pages 86-107.

    Cited by:

    1. Eliana González & Luis F. Melo & Luis E. Rojas & Brayan Rojas, 2010. "Estimations of the natural rate of interest in Colombia," Borradores de Economia 626, Banco de la Republica de Colombia.
    2. Refai, Hisham Al & Zeitun, Rami & Eissa, Mohamed Abdel-Aziz, 2022. "Impact of global health crisis and oil price shocks on stock markets in the GCC," Finance Research Letters, Elsevier, vol. 45(C).
    3. Migiakis, Petros M. & Bekiris, Fivos V., 2009. "Regime switches between dividend and bond yields," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 198-204, September.
    4. Carlos Castro & Nini Johana Marin, 2014. "Stock return comovements and integration within the Latin American integrated market," Borradores de Investigación 11041, Universidad del Rosario.
    5. Döpke, Jörg & Hartmann, Daniel & Pierdzioch, Christian, 2008. "Real-time macroeconomic data and ex ante stock return predictability," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 274-290.
    6. Miao Jia, 2016. "The Long-Run Effects of the Fed’s Monetary Policy on the Dynamics among Major Asset Classes," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 51(1), pages 9-19, September.

  15. Yasser Abdih & Frederick Joutz, 2006. "Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle," IMF Staff Papers, Palgrave Macmillan, vol. 53(2), pages 1-3.
    See citations under working paper version above.
  16. Holtedahl, Pernille & Joutz, Frederick L., 2004. "Residential electricity demand in Taiwan," Energy Economics, Elsevier, vol. 26(2), pages 201-224, March.

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    1. Cabral, Joilson de Assis & Freitas Cabral, Maria Viviana de & Pereira Júnior, Amaro Olímpio, 2020. "Elasticity estimation and forecasting: An analysis of residential electricity demand in Brazil," Utilities Policy, Elsevier, vol. 66(C).
    2. Akihiro Otsuka, 2018. "Population Agglomeration and Residential Energy Consumption: Evidence from Japan," Sustainability, MDPI, vol. 10(2), pages 1-12, February.
    3. Ziramba, Emmanuel, 2008. "The demand for residential electricity in South Africa," Energy Policy, Elsevier, vol. 36(9), pages 3460-3466, September.
    4. Hung, Ming-Feng & Chie, Bin-Tzong, 2017. "The long-run performance of increasing-block pricing in Taiwan's residential electricity sector," Energy Policy, Elsevier, vol. 109(C), pages 782-793.
    5. Xavier Labandeira & Jose M. Labeaga & Miguel Rodriguez, 2004. "Microsimulating the Effects of Household Energy Price Changes in Spain," Public Economics 0412001, University Library of Munich, Germany, revised 02 Dec 2004.
    6. Kurt Kratena & Ina Meyer & Michael Wüger, 2008. "Modelling the Energy Demand of Households in a Combined Top Down/Bottom Up Approach," WIFO Working Papers 321, WIFO.
    7. Sudeshna Ghosh, 2019. "Environmental Pollution, Income Inequality, and Household Energy Consumption: Evidence from the United Kingdom," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-31, June.
    8. Nguyen Quan & Makoto Kakinaka & Koji Kotani, 2017. "How does urbanization affect energy and CO2 emission intensities in Vietnam? Evidence from province-level data," Working Papers SDES-2017-8, Kochi University of Technology, School of Economics and Management, revised Jun 2017.
    9. Chen, Han & Huang, Ye & Shen, Huizhong & Chen, Yilin & Ru, Muye & Chen, Yuanchen & Lin, Nan & Su, Shu & Zhuo, Shaojie & Zhong, Qirui & Wang, Xilong & Liu, Junfeng & Li, Bengang & Tao, Shu, 2016. "Modeling temporal variations in global residential energy consumption and pollutant emissions," Applied Energy, Elsevier, vol. 184(C), pages 820-829.
    10. Liddle, Brantley, 2013. "Population, Affluence, and Environmental Impact Across Development: Evidence from Panel Cointegration Modeling," MPRA Paper 52088, University Library of Munich, Germany.
    11. Carter, Adrian & Craigwell, Roland & Moore, Winston, 2012. "Price reform and household demand for electricity," Journal of Policy Modeling, Elsevier, vol. 34(2), pages 242-252.
    12. Zhang, Yue-Jun & Peng, Hua-Rong, 2017. "Exploring the direct rebound effect of residential electricity consumption: An empirical study in China," Applied Energy, Elsevier, vol. 196(C), pages 132-141.
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    14. Kim, Jee Young & Oh, Hyungna & Choi, Kyung-Mee, 2019. "Why Are Peak Loads Observed during Winter Months in Korea?," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 41(1), pages 43-58.
    15. Yuehjen E. Shao & Yi-Shan Tsai, 2018. "Electricity Sales Forecasting Using Hybrid Autoregressive Integrated Moving Average and Soft Computing Approaches in the Absence of Explanatory Variables," Energies, MDPI, vol. 11(7), pages 1-22, July.
    16. Tran, Nguyen Van & Tran, Quyet Van & Do, Linh Thi Thuy & Dinh, Linh Hong & Do, Ha Thi Thu, 2019. "Trade off between environment, energy consumption and human development: Do levels of economic development matter?," Energy, Elsevier, vol. 173(C), pages 483-493.
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    18. Maluf de Lima, Lilian & Piedade Bacchi, Mirian Rumenos, 2019. "Assessing the impact of Brazilian economic growth on demand for electricity," Energy, Elsevier, vol. 172(C), pages 861-873.
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    21. Lari Shanlang Tiewsoh & Jakub Jirásek & Martin Sivek, 2019. "Electricity Generation in India: Present State, Future Outlook and Policy Implications," Energies, MDPI, vol. 12(7), pages 1-14, April.
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    37. Jonathan D. Quartey & Wisdom D. Ametorwotia & Prosper B. Laari, 2022. "Household Effective Demand for Electricity in Ghana: Analysis and Implication for Tariffs," Management & Economics Research Journal, Faculty of Economics, Commercial and Management Sciences, Ziane Achour University of Djelfa, vol. 4(2), pages 1-24, September.
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    40. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    41. Muntasir Murshed, 2020. "Electricity conservation opportunities within private university campuses in Bangladesh," Energy & Environment, , vol. 31(2), pages 256-274, March.
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    43. Umer Jeelanie Banday & Mustafa Kocoglu, 2023. "Modelling Simultaneous Relationships Between Human Development, Energy, and Environment: Fresh Evidence from Panel Quantile Regression," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1559-1581, June.
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    45. Jamil, Faisal & Ahmad, Eatzaz, 2011. "Income and price elasticities of electricity demand: Aggregate and sector-wise analyses," Energy Policy, Elsevier, vol. 39(9), pages 5519-5527, September.
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    55. Yaqing Sheng & Jinpeng Liu & Delin Wei & Xiaohua Song, 2021. "Heterogeneous Study of Multiple Disturbance Factors Outside Residential Electricity Consumption: A Case Study of Beijing," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
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    66. Loi, Tian Sheng Allan & Loo, Soh Leng, 2016. "The impact of Singapore’s residential electricity conservation efforts and the way forward. Insights from the bounds testing approach," Energy Policy, Elsevier, vol. 98(C), pages 735-743.
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    1. Hamid Baghestani, 2006. "An evaluation of the professional forecasts of U.S. long‐term interest rates," Review of Financial Economics, John Wiley & Sons, vol. 15(2), pages 177-191.
    2. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    3. Sinclair, Tara M. & Gamber, Edward N. & Stekler, Herman & Reid, Elizabeth, 2012. "Jointly evaluating the Federal Reserve’s forecasts of GDP growth and inflation," International Journal of Forecasting, Elsevier, vol. 28(2), pages 309-314.
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    5. Hetzel, Robert L., 1998. "U.S. monetary policy and monetary policy and the ESCB," ZEI Working Papers B 09-1998, University of Bonn, ZEI - Center for European Integration Studies.
    6. Tara M. Sinclair & Fred Joutz & Herman O. Stekler, 2008. "Are 'unbiased' forecasts really unbiased? Another look at the Fed forecasts," Working Papers 2008-010, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    7. Chang, Andrew C. & Hanson, Tyler J., 2016. "The accuracy of forecasts prepared for the Federal Open Market Committee," Journal of Economics and Business, Elsevier, vol. 83(C), pages 23-43.
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    17. Hamid Baghestani, 2008. "Consensus vs. Time‐series Forecasts of US 30‐year Home Mortgage Rates," Journal of Property Research, Taylor & Francis Journals, vol. 25(1), pages 45-60, January.
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    23. Michael P. Clements & Ana Beatriz Galvão, 2007. "Macroeconomic Forecasting with Mixed Frequency Data: Forecasting US Output Growth," Working Papers 616, Queen Mary University of London, School of Economics and Finance.
    24. Julien Champagne & Guillaume Poulin‐Bellisle & Rodrigo Sekkel, 2020. "Introducing the Bank of Canada staff economic projections database," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(1), pages 114-129, January.
    25. Baghestani, Hamid, 2008. "Federal Reserve versus private information: Who is the best unemployment rate predictor," Journal of Policy Modeling, Elsevier, vol. 30(1), pages 101-110.
    26. Masahiro Ashiya, 2009. "Strategic bias and professional affiliations of macroeconomic forecasters," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(2), pages 120-130.
    27. Song, Haiyan & Witt, Stephen F. & Jensen, Thomas C., 2003. "Tourism forecasting: accuracy of alternative econometric models," International Journal of Forecasting, Elsevier, vol. 19(1), pages 123-141.
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    29. Michael T. Belongia & Peter N. Ireland, 2018. "Monetary Policy Lessons from the Greenbook," Boston College Working Papers in Economics 955, Boston College Department of Economics.
    30. William T. Gavin, 2003. "FOMC forecasts: is all the information in the central tendency?," Working Papers 2003-002, Federal Reserve Bank of St. Louis.
    31. Neil R. Ericsson, 2017. "How Biased Are U.S. Government Forecasts of the Federal Debt?," Working Papers 2017-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    32. Francisco Javier Eransus & Alfonso Novales Cinca, 2014. "A statistical test for forecast evaluation under a discrete loss function," Documentos de Trabajo del ICAE 2014-24, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    33. Messina, Jeffrey D. & Sinclair, Tara M. & Stekler, Herman, 2015. "What can we learn from revisions to the Greenbook forecasts?," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 54-62.
    34. Mihaela Simionescu, 2014. "Directional accuracy for inflation and unemployment rate predictions in Romania," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 7(2), pages 129-138, September.
    35. Paul Hubert, 2009. "Informational Advantage and Influence of Communicating Central Banks," Documents de Travail de l'OFCE 2009-04, Observatoire Francais des Conjonctures Economiques (OFCE).
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    37. Greer, Mark, 2003. "Directional accuracy tests of long-term interest rate forecasts," International Journal of Forecasting, Elsevier, vol. 19(2), pages 291-298.
    38. Fred Joutz & Michael P. Clements & Herman O. Stekler, 2007. "An evaluation of the forecasts of the federal reserve: a pooled approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(1), pages 121-136.
    39. Sinclair, Tara M. & Stekler, H.O. & Carnow, Warren, 2015. "Evaluating a vector of the Fed’s forecasts," International Journal of Forecasting, Elsevier, vol. 31(1), pages 157-164.
    40. Bruno Ducoudre, 2008. "Structure par terme des taux d’intérêt et anticipations de la politique économique," Sciences Po publications info:hdl:2441/5221, Sciences Po.
    41. Tara M. Sinclair & H.O. Stekler, 2011. "Differences in Early GDP Component Estimates Between Recession and Expansion," Working Papers 2011-05, The George Washington University, Institute for International Economic Policy.
    42. Baghestani, Hamid & Kherfi, Samer, 2008. "How well do U.S. consumers predict the direction of change in interest rates?," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(4), pages 725-732, November.
    43. Tsuchiya, Yoichi, 2013. "Do corporate executives have accurate predictions for the economy? A directional analysis," Economic Modelling, Elsevier, vol. 30(C), pages 167-174.
    44. Hamid Baghestani, 2008. "Predicting capacity utilization: Federal Reserve vs time-series models," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 32(1), pages 47-57, January.
    45. Baghestani, Hamid, 2006. "An evaluation of the professional forecasts of U.S. long-term interest rates," Review of Financial Economics, Elsevier, vol. 15(2), pages 177-191.
    46. Andrew C. Chang & Trace J. Levinson, 2023. "Raiders of the lost high‐frequency forecasts: New data and evidence on the efficiency of the Fed's forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 88-104, January.
    47. Tara M. Sinclair & Fred Joutz & Herman O. Stekler, 2009. "Can the Fed Predict the State of the Economy?," Working Papers 2009-001, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting, revised Mar 2010.
    48. Oliver Blaskowitz & Helmut Herwartz, 2008. "Testing directional forecast value in the presence of serial correlation," SFB 649 Discussion Papers SFB649DP2008-073, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    49. Yetman, James, 2006. "Are speed limit policies robust?," Journal of Macroeconomics, Elsevier, vol. 28(4), pages 665-679, December.
    50. Julien Champagne & Guillaume Poulin-Bellisle & Rodrigo Sekkel, 2018. "Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts," Staff Working Papers 18-52, Bank of Canada.
    51. Hall, Viv B & Thomson, Peter, 2020. "Does Hamilton’s OLS regression provide a “better alternative” to the Hodrick-Prescott filter? A New Zealand Business Cycle Perspective," Working Paper Series 21070, Victoria University of Wellington, School of Economics and Finance.
    52. Pincheira, Pablo & Hardy, Nicolas, 2021. "The Mean Squared Prediction Error Paradox," MPRA Paper 107403, University Library of Munich, Germany.
    53. Tara Sinclair & H. O. Stekler & L. Kitzinger, 2010. "Directional forecasts of GDP and inflation: a joint evaluation with an application to Federal Reserve predictions," Applied Economics, Taylor & Francis Journals, vol. 42(18), pages 2289-2297.
    54. Masahiro Ashiya, 2003. "The directional accuracy of 15-months-ahead forecasts made by the IMF," Applied Economics Letters, Taylor & Francis Journals, vol. 10(6), pages 331-333.
    55. Gavin, William T. & Mandal, Rachel J., 2003. "Evaluating FOMC forecasts," International Journal of Forecasting, Elsevier, vol. 19(4), pages 655-667.
    56. Yoichi Tsuchiya, 2012. "Is the Purchasing Managers' Index useful for assessing the economy's strength? A directional analysis," Economics Bulletin, AccessEcon, vol. 32(2), pages 1302-1311.
    57. Jones, Adam T. & Ogden, Richard E., 2017. "A day late and a dollar short: The effect of policy uncertainty on fed forecast errors," Economic Analysis and Policy, Elsevier, vol. 54(C), pages 112-122.
    58. Baghestani, Hamid, 2006. "Federal reserve vs. private forecasts of real net exports," Economics Letters, Elsevier, vol. 91(3), pages 349-353, June.
    59. Yoichi Tsuchiya, 2021. "The value added of the Bank of Japan's range forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(5), pages 817-833, August.
    60. Lixiong Yang, 2020. "State-dependent biases and the quality of China’s preliminary GDP announcements," Empirical Economics, Springer, vol. 59(6), pages 2663-2687, December.
    61. Hamid Baghestani, 2011. "A directional analysis of Federal Reserve predictions of growth in unit labor costs and productivity," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(3), pages 303-311.
    62. Xie, Zixiong & Hsu, Shih-Hsun, 2016. "Time varying biases and the state of the economy," International Journal of Forecasting, Elsevier, vol. 32(3), pages 716-725.
    63. Tsuchiya, Yoichi, 2016. "Do production managers predict turning points? A directional analysis," Economic Modelling, Elsevier, vol. 58(C), pages 1-8.
    64. Masahiro Ashiya, 2006. "Are 16-month-ahead forecasts useful? A directional analysis of Japanese GDP forecasts," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(3), pages 201-207.
    65. Baghestani, Hamid, 2011. "Federal Reserve and private forecasts of growth in investment," Journal of Economics and Business, Elsevier, vol. 63(4), pages 290-305, July.
    66. João Valle e Azevedo & João Tovar Jalles, 2011. "Rational vs. Professional Forecasts," Working Papers w201114, Banco de Portugal, Economics and Research Department.
    67. Bespalova, Olga, 2020. "GDP forecasts: Informational asymmetry of the SPF and FOMC minutes," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1531-1540.
    68. Pablo Pincheira, 2012. "A Joint Test of Superior Predictive Ability for Chilean Inflation Forecasts," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(3), pages 04-39, December.
    69. William T. Gavin & Geetanjali Pande, 2008. "FOMC consensus forecasts," Review, Federal Reserve Bank of St. Louis, vol. 90(May), pages 149-164.
    70. Alfredo Pistelli M., 2012. "Análisis de Sesgos y Eficiencia en Proyecciones de Consensus Forecasts," Notas de Investigación Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 15(1), pages 98-104, April.
    71. Baghestani, Hamid, 2009. "Forecasting in efficient bond markets: Do experts know better?," International Review of Economics & Finance, Elsevier, vol. 18(4), pages 624-630, October.
    72. Baghestani, Hamid, 2008. "A random walk approach to predicting US 30-year home mortgage rates," Journal of Housing Economics, Elsevier, vol. 17(3), pages 225-233, September.
    73. Pincheira, Pablo & Hardy, Nicolas, 2022. "Correlation Based Tests of Predictability," MPRA Paper 112014, University Library of Munich, Germany.
    74. Tsuchiya, Yoichi, 2014. "Purchasing and supply managers provide early clues on the direction of the US economy: An application of a new market-timing test," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 599-618.
    75. Hamid Baghestani, 2013. "Evaluating Federal Reserve predictions of growth in consumer spending," Applied Economics, Taylor & Francis Journals, vol. 45(13), pages 1637-1646, May.

  18. Barnhill Jr., Theodore M. & Joutz, Frederick L. & Maxwell, William F., 2000. "Factors affecting the yields on noninvestment grade bond indices: a cointegration analysis," Journal of Empirical Finance, Elsevier, vol. 7(1), pages 57-86, May.

    Cited by:

    1. Jeroen Derwall & Kees Koedijk, 2009. "Socially Responsible Fixed‐Income Funds," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(1‐2), pages 210-229, January.
    2. Cowan, Adrian M. & Joutz, Frederick L., 2006. "An unobserved component model of asset pricing across financial markets," International Review of Financial Analysis, Elsevier, vol. 15(1), pages 86-107.
    3. Batten, Jonathan A. & Hogan, Warren P., 2003. "Time variation in the credit spreads on Australian Eurobonds," Pacific-Basin Finance Journal, Elsevier, vol. 11(1), pages 81-99, January.
    4. Kannan S. Thuraisamy, 2015. "Volatility Dynamics in the Term Structure of Latin American Sovereign International Bonds," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(5), pages 859-866, September.
    5. Dbouk, Wassim & Jamali, Ibrahim & Kryzanowski, Lawrence, 2013. "The January effect for individual corporate bonds," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 69-77.
    6. Loncarski, Igor & Szilagyi, Peter G., 2012. "Empirical analysis of credit spread changes of US corporate bonds," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 12-19.
    7. Thomas, Hugh & Wang, Zhiqiang, 2004. "The integration of bank syndicated loan and junk bond markets," Journal of Banking & Finance, Elsevier, vol. 28(2), pages 299-329, February.
    8. In, Francis & Batten, Jonathan & Kim, Sangbae, 2003. "What drives the term and risk structure of Japanese bonds?," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(3), pages 518-541.
    9. Seung C. Ahn & Stephan Dieckmann & M. Fabricio Perez, 2018. "Is there a missing factor? A canonical correlation approach to factor models," Review of Financial Economics, John Wiley & Sons, vol. 36(4), pages 321-347, October.
    10. Gormus, Alper & Nazlioglu, Saban & Soytas, Ugur, 2018. "High-yield bond and energy markets," Energy Economics, Elsevier, vol. 69(C), pages 101-110.
    11. Batten, Jonathan & Hogan, Warren, 2002. "A perspective on credit derivatives," International Review of Financial Analysis, Elsevier, vol. 11(3), pages 251-278.
    12. Michael Boss & Martin Scheicher, 2002. "The determinants of credit spread changes in the euro area," BIS Papers chapters, in: Bank for International Settlements (ed.), Market functioning and central bank policy, volume 12, pages 181-199, Bank for International Settlements.
    13. T.J. Brailsford & J. H.W. Penm & R.D. Terrell, 2006. "The Equivalence of Causality Detection in VAR and VECM Modeling with Applications to Exchange Rates," Multinational Finance Journal, Multinational Finance Journal, vol. 10(3-4), pages 153-178, September.
    14. Manzoni, Katiuscia, 2002. "Modeling credit spreads: An application to the sterling Eurobond market," International Review of Financial Analysis, Elsevier, vol. 11(2), pages 183-218.
    15. Sun, David & Lin, William T. & Nieh, Chien-Chung, 2007. "Long run credit risk diversification: empirical decomposition of corporate bond spreads," MPRA Paper 37283, University Library of Munich, Germany, revised Jul 2008.

  19. Joutz, Frederick L. & Stekler, H. O., 1999. "An Evaluation of Federal Reserve Forecasting: Comment," Journal of Macroeconomics, Elsevier, vol. 21(1), pages 179-187, January.

    Cited by:

    1. Joutz, Fred & Stekler, H. O., 2000. "An evaluation of the predictions of the Federal Reserve," International Journal of Forecasting, Elsevier, vol. 16(1), pages 17-38.

  20. Frederick Joutz & H. O. Stekler, 1998. "Data revisions and forecasting," Applied Economics, Taylor & Francis Journals, vol. 30(8), pages 1011-1016.

    Cited by:

    1. Stekler, H.O., 2007. "The future of macroeconomic forecasting: Understanding the forecasting process," International Journal of Forecasting, Elsevier, vol. 23(2), pages 237-248.
    2. Sinclair, Tara M. & Stekler, H.O., 2013. "Examining the quality of early GDP component estimates," International Journal of Forecasting, Elsevier, vol. 29(4), pages 736-750.
    3. Christis Tombazos, 2003. "New light on the 'impressionistic view' of the balancing item in Australia's balance of payments accounts," Applied Economics, Taylor & Francis Journals, vol. 35(12), pages 1369-1378.
    4. Jordi Pons-Novell, 2006. "An analysis of a panel of Spanish GDP forecasts," Applied Economics, Taylor & Francis Journals, vol. 38(11), pages 1287-1292.
    5. H. Bakhshi & G. Kapetanios & T. Yates, 2005. "Rational expectations and fixed-event forecasts: An application to UK inflation," Empirical Economics, Springer, vol. 30(3), pages 539-553, October.
    6. Tara M. Sinclair, 2012. "Characteristics and Implications of Chinese Macroeconomic Data Revisions," Working Papers 2012-09, The George Washington University, Institute for International Economic Policy.
    7. Harvey, David I. & Newbold, Paul, 2003. "The non-normality of some macroeconomic forecast errors," International Journal of Forecasting, Elsevier, vol. 19(4), pages 635-653.
    8. Mihaela Simionescu, 2014. "Directional accuracy for inflation and unemployment rate predictions in Romania," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 7(2), pages 129-138, September.
    9. Oliver Blaskowitz & Helmut Herwartz, 2008. "Testing directional forecast value in the presence of serial correlation," SFB 649 Discussion Papers SFB649DP2008-073, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    10. Theo S. Eicher & David J. Kuenzel & Mr. Chris Papageorgiou & Mr. Charalambos Christofides, 2018. "Forecasts in Times of Crises," IMF Working Papers 2018/048, International Monetary Fund.

  21. Edward N. Gamber & Frederick L. Joutz, 1997. "Real Wages over the Business Cycle," Eastern Economic Journal, Eastern Economic Association, vol. 23(3), pages 277-291, Summer.

    Cited by:

    1. Danthine, Jean-Pierre & Kurmann, André, 2010. "The business cycle implications of reciprocity in labor relations," Journal of Monetary Economics, Elsevier, vol. 57(7), pages 837-850, October.
    2. Danthine, Jean-Pierre & Kurmann, Andre, 2005. "The Macroeconomic Consequences of Reciprocity in Labour Relations," CEPR Discussion Papers 5174, C.E.P.R. Discussion Papers.
    3. Laura Bisio & Andrea Faccini, 2010. "Does Cointegration Matter? An Analysis in a RBC Perspective," Working Papers in Public Economics 133, University of Rome La Sapienza, Department of Economics and Law.
    4. Carter, Thomas J., 2005. "Money and efficiency wages: the neglected effect of employment on efficiency," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 34(2), pages 199-209, March.
    5. Thomas J. Carter, 2005. "Monetary Policy, Efficiency Wages, and Nominal Wage Rigidities," Eastern Economic Journal, Eastern Economic Association, vol. 31(3), pages 349-359, Summer.
    6. Martin Schmidt, 2003. "The relative adjustment of wages and prices: direct tests within a multiple-equation system," Applied Economics, Taylor & Francis Journals, vol. 35(8), pages 985-997.
    7. Jean-Pierre DANTHINE & André KURMANN, 2004. "Efficiency Wages Revisited: The Internal Reference Perspective (new version)," Cahiers de Recherches Economiques du Département d'économie 04.09, Université de Lausanne, Faculté des HEC, Département d’économie, revised Jun 2005.
    8. Charles A. Fleischman, 1999. "The causes of business cycles and the cyclicality of real wages," Finance and Economics Discussion Series 1999-53, Board of Governors of the Federal Reserve System (U.S.).
    9. Kakarot-Handtke, Egmont, 2012. "Intertwined real and monetary stochastic business cycles," MPRA Paper 42793, University Library of Munich, Germany.

  22. Silk, Julian I. & Joutz, Frederick L., 1997. "Short and long-run elasticities in US residential electricity demand: a co-integration approach," Energy Economics, Elsevier, vol. 19(4), pages 493-513, October.

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    1. Marra, Alessandro & Colantonio, Emiliano, 2021. "The path to renewable energy consumption in the European Union through drivers and barriers: A panel vector autoregressive approach," Socio-Economic Planning Sciences, Elsevier, vol. 76(C).
    2. Agustin J. Ros, 2017. "An Econometric Assessment of Electricity Demand in the United States Using Utility-specific Panel Data and the Impact of Retail Competition on Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4).
    3. Sanquist, Thomas F. & Orr, Heather & Shui, Bin & Bittner, Alvah C., 2012. "Lifestyle factors in U.S. residential electricity consumption," Energy Policy, Elsevier, vol. 42(C), pages 354-364.
    4. Makena Coffman & Paul Bernstein & Sherilyn Wee & Aida Arik, 2016. "Estimating the Opportunity for Load-Shifting in Hawaii: An Analysis of Proposed Residential Time-of-Use Rates," Working Papers 2016-10, University of Hawaii Economic Research Organization, University of Hawaii at Manoa.
    5. Arshad Khan, Muhammad & Ahmed, Usman, 2009. "Energy Demand in Pakistan: A Disaggregate Analysis," MPRA Paper 15056, University Library of Munich, Germany.
    6. Alessandro Marra & Emiliano Colantonio, 2022. "The institutional and socio-technical determinants of renewable energy production in the EU: implications for policy," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(2), pages 267-299, June.
    7. Sudeshna Ghosh, 2019. "Environmental Pollution, Income Inequality, and Household Energy Consumption: Evidence from the United Kingdom," Journal of International Commerce, Economics and Policy (JICEP), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-31, June.
    8. Bernstein, Ronald & Madlener, Reinhard, 2011. "Responsiveness of Residential Electricity Demand in OECD Countries: A Panel Cointegation and Causality Analysis," FCN Working Papers 8/2011, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).
    9. Schmidtchen, Dieter & Bier, Christoph, 2005. "Killing the goose that may have laid the golden egg? The incentives to discriminate and the regulation of access charges in the German electricity supply industry," CSLE Discussion Paper Series 2005-07, Saarland University, CSLE - Center for the Study of Law and Economics.
    10. Theologos Dergiades & Lefteris Tsoulfidis, 2011. "Revisiting residential demand for electricity in Greece: new evidence from the ARDL approach to cointegration analysis," Empirical Economics, Springer, vol. 41(2), pages 511-531, October.
    11. Garcia-Cerrutti, L. Miguel, 2000. "Estimating elasticities of residential energy demand from panel county data using dynamic random variables models with heteroskedastic and correlated error terms," Resource and Energy Economics, Elsevier, vol. 22(4), pages 355-366, October.
    12. Theologos Dergiades & Lefteris Tsoulfidis, 2008. "Estimating Residential Demand for Electricity in the United States, 1965-2006," Discussion Paper Series 2008_19, Department of Economics, University of Macedonia, revised Apr 2008.
    13. Espey, James A. & Espey, Molly, 2004. "Turning on the Lights: A Meta-Analysis of Residential Electricity Demand Elasticities," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 36(1), pages 65-81, April.
    14. Yanan Liu & Yixuan Gao & Yu Hao & Hua Liao, 2016. "The Relationship between Residential Electricity Consumption and Income: A Piecewise Linear Model with Panel Data," Energies, MDPI, vol. 9(10), pages 1-11, October.
    15. Kim, Jee Young & Oh, Hyungna & Choi, Kyung-Mee, 2019. "Why Are Peak Loads Observed during Winter Months in Korea?," KDI Journal of Economic Policy, Korea Development Institute (KDI), vol. 41(1), pages 43-58.
    16. Lari Shanlang Tiewsoh & Jakub Jirásek & Martin Sivek, 2019. "Electricity Generation in India: Present State, Future Outlook and Policy Implications," Energies, MDPI, vol. 12(7), pages 1-14, April.
    17. Casarin, Ariel A. & Delfino, Maria Eugenia, 2011. "Price freezes, durables, and residential electricity demand. Evidence from Greater Buenos Aires," Energy Economics, Elsevier, vol. 33(5), pages 859-869, September.
    18. Haitao Yin & Hui Zhou & Kai Zhu, 2016. "Long- and short-run elasticities of residential electricity consumption in China: a partial adjustment model with panel data," Applied Economics, Taylor & Francis Journals, vol. 48(28), pages 2587-2599, June.
    19. Suganthi, L. & Samuel, Anand A., 2012. "Energy models for demand forecasting—A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(2), pages 1223-1240.
    20. Dieter Schmidtchen & Christoph Bier, "undated". "Netznutzungsentgelte als Wettbewerbshindernis? Diskriminierungsanreize und Regulierung in liberalisierten Strommärkten – Eine spieltheoretische Analyse

      The Access Pricing Problem: Incentives      ," German Working Papers in Law and Economics 2006-1-1158, Berkeley Electronic Press.
    21. Wang, Qiang & Lin, Jian & Zhou, Kan & Fan, Jie & Kwan, Mei-Po, 2020. "Does urbanization lead to less residential energy consumption? A comparative study of 136 countries," Energy, Elsevier, vol. 202(C).
    22. Huaccha, Gissell, 2023. "Regional persistence of the energy efficiency gap: Evidence from England and Wales," Energy Economics, Elsevier, vol. 127(PA).
    23. Imen Gam & Jaleleddine Ben Rejeb, 2012. "How Can We Assess the Relation Between Equipment, Price and Electricity Demand in Tunisia?," International Journal of Energy Economics and Policy, Econjournals, vol. 2(3), pages 159-166.
    24. Halicioglu, Ferda, 2007. "Residential electricity demand dynamics in Turkey," Energy Economics, Elsevier, vol. 29(2), pages 199-210, March.
    25. Narayan, Paresh Kumar & Smyth, Russell & Prasad, Arti, 2007. "Electricity consumption in G7 countries: A panel cointegration analysis of residential demand elasticities," Energy Policy, Elsevier, vol. 35(9), pages 4485-4494, September.
    26. El-Shazly, Alaa, 2013. "Electricity demand analysis and forecasting: A panel cointegration approach," Energy Economics, Elsevier, vol. 40(C), pages 251-258.
    27. Pellini, Elisabetta, 2021. "Estimating income and price elasticities of residential electricity demand with Autometrics," Energy Economics, Elsevier, vol. 101(C).
    28. Julián Pérez-García & Julián Moral-Carcedo, 2017. "Why Electricity Demand Is Highly Income-Elastic in Spain: A Cross-Country Comparison Based on an Index-Decomposition Analysis," Energies, MDPI, vol. 10(3), pages 1-20, March.
    29. Yoosoon Chang & Yongok Choi & Chang Sik Kim & Joon Y. Park & J. Isaac Miller, 2013. "Disentangling Temporal Patterns in Elasticities: A Functional Coefficient Panel Analysis of Electricity Demand," Working Papers 1320, Department of Economics, University of Missouri.
    30. Rigoberto Ariel Yepez-Garcia & Todd M. Johnson & Luis Alberto Andres, 2011. "Meeting the Balance of Electricity Supply and Demand in Latin America and the Caribbean," World Bank Publications - Books, The World Bank Group, number 2334, December.
    31. Jamil, Faisal & Ahmad, Eatzaz, 2011. "Income and price elasticities of electricity demand: Aggregate and sector-wise analyses," Energy Policy, Elsevier, vol. 39(9), pages 5519-5527, September.
    32. Ruben Bibas & Aurélie Méjean, 2014. "Potential and limitations of bioenergy for low carbon transitions," Climatic Change, Springer, vol. 123(3), pages 731-761, April.
    33. Contreras, Sergio & Smith, Wm. Doyle & Roth, Timothy P. & Fullerton, Thomas M., Jr., 2009. "Regional Evidence regarding U.S. Residential Electricity Consumption," MPRA Paper 29093, University Library of Munich, Germany, revised 2009.
    34. Zachariadis, Theodoros & Pashourtidou, Nicoletta, 2007. "An empirical analysis of electricity consumption in Cyprus," Energy Economics, Elsevier, vol. 29(2), pages 183-198, March.
    35. Aydin, Erdal, 2016. "Energy conservation in the residential sector : The role of policy and market forces," Other publications TiSEM b9cedba8-1310-4097-90fb-b, Tilburg University, School of Economics and Management.
    36. Daniel de Abreu Pereira Uhr & Júlia Gallego Ziero Uhr, André Luis Squarize Chagas, 2017. "Estimation of price and income elasticities for the Brazilian household electricity demand," Working Papers, Department of Economics 2017_12, University of São Paulo (FEA-USP).
    37. Torriti, Jacopo, 2013. "The significance of occupancy steadiness in residential consumer response to Time-of-Use pricing: Evidence from a stochastic adjustment model," Utilities Policy, Elsevier, vol. 27(C), pages 49-56.
    38. Chang, Yoosoon & Kim, Chang Sik & Miller, J. Isaac & Park, Joon Y. & Park, Sungkeun, 2016. "A new approach to modeling the effects of temperature fluctuations on monthly electricity demand," Energy Economics, Elsevier, vol. 60(C), pages 206-216.
    39. Stiel, Caroline & Cullmann, Astrid & Nieswand, Maria, 2018. "Do Private Utilities Outperform Local Government-Owned Utilities? Evidence from German Retail Electricity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 19(4), pages 401-425.
    40. Hondroyiannis, George, 2004. "Estimating residential demand for electricity in Greece," Energy Economics, Elsevier, vol. 26(3), pages 319-334, May.
    41. Salari, Mahmoud & Javid, Roxana J., 2017. "Modeling household energy expenditure in the United States," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 822-832.
    42. Dieter Schmidtchen & Christoph Bier, "undated". "Killing the Goose That May Have Laid the Golden Egg?," German Working Papers in Law and Economics 2005-1-1123, Berkeley Electronic Press.
    43. Lim, Kyoung-Min & Lim, Seul-Ye & Yoo, Seung-Hoon, 2014. "Short- and long-run elasticities of electricity demand in the Korean service sector," Energy Policy, Elsevier, vol. 67(C), pages 517-521.
    44. Rapanos, Vassilis T. & Polemis, Michael L., 2006. "The structure of residential energy demand in Greece," Energy Policy, Elsevier, vol. 34(17), pages 3137-3143, November.
    45. Jieyi Kang & David Reiner, 2021. "Machine Learning on residential electricity consumption: Which households are more responsive to weather?," Working Papers EPRG2113, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    46. Ramanathan, R., 1999. "Short- and long-run elasticities of gasoline demand in India: An empirical analysis using cointegration techniques," Energy Economics, Elsevier, vol. 21(4), pages 321-330, August.
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    1. Yusuf Soner Baskaya & Tugrul Gurgur & Fethi Ogunc, 2008. "Islenmis Gida Fiyatlarini Belirleyen Faktorler," Working Papers 0809, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    2. Ates, Aaron M. & Lusk, Jayson L. & Brorsen, B. Wade, 2016. "Forecasting Meat Prices using Consumer Expectations from the Food Demand Survey (FooDS)," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229858, Southern Agricultural Economics Association.
    3. Lee, Chinkook, 2002. "The Impact Of Intermediate Input Price Changes On Food Prices: An Analysis Of "From-The-Ground-Up" Effects," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 20(1), pages 1-18.
    4. Gomez, Miguel I. & Gonzalez, Eliana & Melo, Luis F. & Torres, Jose L., 2006. "Forecasting Food Price Inflation, Challenges for Central Banks in Developing Countries using an Inflation Targeting Framework: the Case of Colombia," 2006 Annual meeting, July 23-26, Long Beach, CA 21181, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    5. Andree,Bo Pieter Johannes, 2021. "Estimating Food Price Inflation from Partial Surveys," Policy Research Working Paper Series 9886, The World Bank.

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    Cited by:

    1. Gaétan de Rassenfosse & Bruno Van Pottelsberghe, 2010. "The Role of Fees in Patent Systems: Theory and Evidence," Working Papers ECARES ECARES 2010-023, ULB -- Universite Libre de Bruxelles.

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    Cited by:

    1. Keating, John W. & Nye, John V., 1999. "The Dynamic Effects of Aggregate Demand and Supply Disturbances in the G7 Countries," Journal of Macroeconomics, Elsevier, vol. 21(2), pages 263-278, April.
    2. Acharya, Ram N. & Gentle, Paul F. & Mishra, Ashok K. & Paudel, Krishna P., 2008. "Examining The Crb Index As An Indicator For U.S. Inflation," 2008 Annual Meeting, February 2-6, 2008, Dallas, Texas 6760, Southern Agricultural Economics Association.
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    4. James S. Fackler & W. Douglas McMillin, 1998. "Historical Decomposition of Aggregate Demand and Supply Shocks in a Small Macro Model," Southern Economic Journal, John Wiley & Sons, vol. 64(3), pages 648-664, January.
    5. Alejandro Diaz-Bautista, 2004. "Tijuana's Dynamic Unemployment and Output Growth," Labor and Demography 0401001, University Library of Munich, Germany.
    6. Giuseppe Travaglini & Alessandro Bellocchi, 2018. "How supply and demand shocks affect productivity and unemployment growth: evidence from OECD countries," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 35(3), pages 955-979, December.
    7. Maciej Bukowski & Grzegorz Koloch & Piotr Lewandowski, 2013. "Shocks and rigidities as determinants of CEE labour markets’ performance," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 21(3), pages 553-581, July.
    8. Keating, John W., 2013. "What do we learn from Blanchard and Quah decompositions of output if aggregate demand may not be long-run neutral?," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 203-217.
    9. John W. Keating, 2013. "What Do We Learn from Blanchard and Quah Decompositions If Aggregate Demand May Not be Long-Run Neutral?," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201302, University of Kansas, Department of Economics.

  26. Gamber, Edward N & Joutz, Frederick L, 1993. "The Dynamic Effects of Aggregate Demand and Supply Disturbances: Comment," American Economic Review, American Economic Association, vol. 83(5), pages 1387-1393, December.

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    9. Alessandro Bellocchi & Giuseppe Travaglini & Beatrice Vitali, 2023. "How capital intensity affects technical progress: An empirical analysis for 17 advanced economies," Metroeconomica, Wiley Blackwell, vol. 74(3), pages 606-631, July.
    10. Keating, John W. & Nye, John V., 1999. "The Dynamic Effects of Aggregate Demand and Supply Disturbances in the G7 Countries," Journal of Macroeconomics, Elsevier, vol. 21(2), pages 263-278, April.
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    32. Jacobson, Tor & Vredin, Anders & Warne, Anders, 1997. "Common trends and hysteresis in Scandinavian unemployment," European Economic Review, Elsevier, vol. 41(9), pages 1781-1816, December.
    33. Valter Di Giacinto & Giacinto Micucci & Pasqualino Montanaro, 2009. "Dynamic macroeconomic effects of public capital: evidence from regional Italian data," Temi di discussione (Economic working papers) 733, Bank of Italy, Economic Research and International Relations Area.
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    36. Gianni Amisano & Massimiliano Serati, 2002. "What goes up sometimes stays up: Shocks and Institutions as Determinants of Unemployment Persistence," Tinbergen Institute Discussion Papers 02-116/4, Tinbergen Institute.
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    39. Mendonca, Gui Pedro, 2008. "Structural Breaks, Regime Change and Asymmetric Adjustment: A Short and Long Run Global Approach to the Output/Unemployment Dynamics," MPRA Paper 14648, University Library of Munich, Germany.
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    52. Hilde Bjørnland, 2004. "The Role of the Exchange Rate as a Shock Absorber in a Small Open Economy," Open Economies Review, Springer, vol. 15(1), pages 23-43, January.
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    54. Bryan Perry & Kerk L. Phillips & David E. Spencer, 2012. "State-Level Evidence on the Cyclicality of Real Wages," BYU Macroeconomics and Computational Laboratory Working Paper Series 2012-05, Brigham Young University, Department of Economics, BYU Macroeconomics and Computational Laboratory.
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  27. Joutz, Frederick & Trost, Robert, 1992. "Using stochastic simulation to test the effect of seasonal adjustment on forecast standard errors of motor gasoline demand," International Journal of Forecasting, Elsevier, vol. 8(2), pages 219-231, October.

    Cited by:

    1. Allen, P. Geoffrey & Morzuch, Bernard J., 1995. "Comparing probability forecasts derived from theoretical distributions," International Journal of Forecasting, Elsevier, vol. 11(1), pages 147-157, March.

  28. Frederick L. Joutz, 1988. "Informational efficiency tests of quarterly macroeconometric GNP forecasts from 1976 to 1985," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 9(4), pages 311-330, December.

    Cited by:

    1. Fildes, Robert & Stekler, Herman, 2002. "The state of macroeconomic forecasting," Journal of Macroeconomics, Elsevier, vol. 24(4), pages 435-468, December.
    2. Joutz, Fred & Stekler, H. O., 2000. "An evaluation of the predictions of the Federal Reserve," International Journal of Forecasting, Elsevier, vol. 16(1), pages 17-38.
    3. Paulo Júlio & Pedro M. Esperança, 2012. "Evaluating the forecast quality of GDP components: An application to G7," GEE Papers 0047, Gabinete de Estratégia e Estudos, Ministério da Economia, revised Apr 2012.
    4. Paulo Júlio & Pedro M. Esperança & João C. Fonseca, 2011. "Evaluating the forecast quality of GDP components," GEE Papers 0041 Classification-C52, , Gabinete de Estratégia e Estudos, Ministério da Economia, revised Oct 2011.

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