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Shawn Ni

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. Lee, Kiseok & Ni, Shawn, 2002. "On the dynamic effects of oil price shocks: a study using industry level data," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 823-852, May.

    Mentioned in:

    1. On the dynamic effects of oil price shocks: a study using industry level data (JME 2002) in ReplicationWiki ()

Working papers

  1. Shawn Ni & Michael Podgursky & Fangda Wang, 2020. "How Teachers Value Pension Wealth: A Reexamination of the Illinois Experience," Working Papers 2007, Department of Economics, University of Missouri.

    Cited by:

    1. Fuchsman, Dillon & McGee, Josh B. & Zamarro, Gema, 2023. "Teachers’ willingness to pay for retirement benefits: A national stated preferences experiment," Economics of Education Review, Elsevier, vol. 92(C).

  2. Shawn Ni & Michael Podgursky & Xiqian Wang, 2020. "Teacher Pension Enhancements and Staffing in an Urban School District," Working Papers 2006, Department of Economics, University of Missouri.

    Cited by:

    1. Knapp, David & Hosek, James & Mattock, Michael G. & Asch, Beth J., 2023. "Predicting teacher retention behavior: Ex ante prediction and ex post realization of a voluntary retirement incentive offer," Economics of Education Review, Elsevier, vol. 93(C).

  3. Wei Kong & Shawn Ni & Michael Podgursky & Weiwei Wu, 2018. "Pension Enhancements and Teacher Retirement Behavior," Working Papers 1814, Department of Economics, University of Missouri.

    Cited by:

    1. Dongwoo Kim & Cory Koedel & Wei Kong & Shawn Ni & Michael Podgursky & Weiwei Wu, 2021. "Pensions and Late-Career Teacher Retention," Education Finance and Policy, MIT Press, vol. 16(1), pages 42-65, Winter.
    2. Shawn Ni & Michael Podgursky & Xiqian Wang, 2018. "Teacher Pension Plan Incentives, Retirement Decisions, and Workforce Quality," Working Papers 1815, Department of Economics, University of Missouri.
    3. Kaifala, Gabriel B. & Paisey, Catriona & Paisey, Nicholas J., 2021. "The UK pensions landscape – A critique of the role of accountants and accounting technologies in the treatment of social and societal risks," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 75(C).
    4. Quinby, Laura D. & Wettstein, Gal, 2021. "Do deferred benefit cuts for current employees increase separation?," Labour Economics, Elsevier, vol. 73(C).

  4. Dongwoo Kim & Cory Koedel & Shawn Ni & Michael Podgursky, 2016. "Labor Market Frictions and Production Efficiency in Public Schools," Working Papers 1604, Department of Economics, University of Missouri, revised Jul 2017.

    Cited by:

    1. Hinrichs, Peter, 2021. "What kind of teachers are schools looking for? Evidence from a randomized field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 395-411.

  5. Dongwoo Kim & Cory Koedel & Shawn Ni & Michael Podgursky & Weiwei Wu, 2016. "Pensions and Late-Career Teacher Retention," Working Papers 1608, Department of Economics, University of Missouri, revised Jul 2017.

    Cited by:

    1. Leslie E. Papke, 2019. "Retirement Choices by State and Local Public Sector Employees: The Role of Eligibility and Financial Incentives," NBER Working Papers 25436, National Bureau of Economic Research, Inc.
    2. Kim, Dongwoo & Koedel, Cory & Gorina, Eugenia & Harrington, James, 2025. "Rule-of-X and the retirement timing of public school teachers," Economics Letters, Elsevier, vol. 256(C).

  6. Ben Backes & Ben Backes & Dan Goldhaberb & Cyrus Grout & Cory Koedel & Shawn Ni & Michael Podgursky & P. Brett Xiang & Zeyu Xu, 2015. "Benefit or Burden? On the Intergenerational Inequity of Teacher Pension Plans," Working Papers 1517, Department of Economics, University of Missouri, revised Apr 2016.

    Cited by:

    1. Fuchsman, Dillon & McGee, Josh B. & Zamarro, Gema, 2023. "Teachers’ willingness to pay for retirement benefits: A national stated preferences experiment," Economics of Education Review, Elsevier, vol. 92(C).
    2. Leslie E. Papke, 2019. "Retirement Choices by State and Local Public Sector Employees: The Role of Eligibility and Financial Incentives," NBER Working Papers 25436, National Bureau of Economic Research, Inc.
    3. Dongwoo Kim & Cory Koedel & P. Brett Xiang, 2019. "The Trade-off Between Pension Costs and Salary Expenditures in the Public Sector," Working Papers 1913, Department of Economics, University of Missouri.
    4. Robert M. Costrell & Josh McGee, 2019. "Cross-Subsidization of Teacher Pension Costs: The Case of California," Education Finance and Policy, MIT Press, vol. 14(2), pages 327-354, Spring.
    5. Kim, Dongwoo & Koedel, Cory & Ni, Shawn & Podgursky, Michael, 2017. "Labor market frictions and production efficiency in public schools," Economics of Education Review, Elsevier, vol. 60(C), pages 54-67.

  7. Cory Koedel & Shawn Ni & Michael Podgursky, 2012. "Who Benefits from Pension Enhancements?," Working Papers 1207, Department of Economics, University of Missouri, revised 08 Jun 2012.

    Cited by:

    1. Dongwoo Kim & Cory Koedel & Wei Kong & Shawn Ni & Michael Podgursky & Weiwei Wu, 2021. "Pensions and Late-Career Teacher Retention," Education Finance and Policy, MIT Press, vol. 16(1), pages 42-65, Winter.
    2. Kim, Dongwoo & Koedel, Cory & Gorina, Eugenia & Harrington, James, 2025. "Rule-of-X and the retirement timing of public school teachers," Economics Letters, Elsevier, vol. 256(C).
    3. Shawn Ni & Michael Podgursky & Xiqian Wang, 2018. "Teacher Pension Plan Incentives, Retirement Decisions, and Workforce Quality," Working Papers 1815, Department of Economics, University of Missouri.
    4. Shawn Ni & Michael Podgursky, 2015. "How Teachers Respond to Pension System Incentives: New Estimates and Policy Applications," Working Papers 1510, Department of Economics, University of Missouri.
    5. Dongwoo Kim & Cory Koedel & P. Brett Xiang, 2019. "The Trade-off Between Pension Costs and Salary Expenditures in the Public Sector," Working Papers 1913, Department of Economics, University of Missouri.
    6. Shawn Ni & Michael Podgursky & Xiqian Wang, 2020. "Teacher Pension Enhancements and Staffing in an Urban School District," Working Papers 2006, Department of Economics, University of Missouri.
    7. Wei Kong & Shawn Ni & Michael Podgursky & Weiwei Wu, 2018. "Pension Enhancements and Teacher Retirement Behavior," Working Papers 1814, Department of Economics, University of Missouri.
    8. Matthew M. Chingos & Martin R. West, 2015. "Which Teachers Choose a Defined Contribution Pension Plan? Evidence from the Florida Retirement System," Education Finance and Policy, MIT Press, vol. 10(2), pages 193-222, March.
    9. David N. Figlio & Krzysztof Karbownik & Kjell G. Salvanes, 2015. "Education Research and Administrative Data," NBER Working Papers 21592, National Bureau of Economic Research, Inc.
    10. Melinda S. Morrill & John Westall, 2018. "Social Security and Retirement Timing: Evidence from a National Sample of Teachers," NBER Working Papers 25411, National Bureau of Economic Research, Inc.
    11. Ben Backes & Ben Backes & Dan Goldhaberb & Cyrus Grout & Cory Koedel & Shawn Ni & Michael Podgursky & P. Brett Xiang & Zeyu Xu, 2015. "Benefit or Burden? On the Intergenerational Inequity of Teacher Pension Plans," Working Papers 1517, Department of Economics, University of Missouri, revised Apr 2016.
    12. Cory Koedel & P. Brett Xiang, 2014. "Pension Enhancements and the Retention of Public Employees," Working Papers 1418, Department of Economics, University of Missouri, revised 09 Feb 2015.
    13. Kim, Dongwoo, 2020. "Worker retirement responses to pension incentives: Do they respond to pension wealth?," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 365-385.

  8. Cory Koedel & Jason A. Grissom & Shawn Ni & Michael Podgursky, 2011. "Pension-Induced Rigidities in the Labor Market for School Leaders," CESifo Working Paper Series 3605, CESifo.

    Cited by:

    1. Dan Goldhaber & Cyrus Grout, 2016. "Pension Choices and the Savings Patterns of Public School Teachers," Education Finance and Policy, MIT Press, vol. 11(4), pages 449-481, Fall.
    2. Cory Koedel & Mark Ehlert & Eric Parsons & Michael Podgursky, 2012. "Selecting Growth Measures for School and Teacher Evaluations," Working Papers 1210, Department of Economics, University of Missouri.
    3. Maria D. Fitzpatrick, 2013. "Retiree Health Insurance for Public School Employees: Does It Affect Retirement?," NBER Chapters, in: State and Local Health Plans for Active and Retired Public Employees, National Bureau of Economic Research, Inc.
    4. Martin F. Lueken & Michael Podgursky, 2016. "Determinants of Cashing Out: A Behavioral Analysis of Refund Claimants and Annuitants in the Illinois Teachers Retirement System," Working Papers 1605, Department of Economics, University of Missouri.
    5. Cory Koedel & Jiaxi Li, 2014. "The Efficiency Implications of Using Proportional Evaluations to Shape the Teaching Workforce," Working Papers 1402, Department of Economics, University of Missouri, revised 16 Mar 2015.
    6. Cory Koedel & Shawn Ni & Michael Podgursky, 2014. "Who Benefits from Pension Enhancements?," Education Finance and Policy, MIT Press, vol. 9(2), pages 165-192, March.
    7. Dongwoo Kim & Cory Koedel & Shawn Ni & Michael Podgursky, 2016. "Labor Market Frictions and Production Efficiency in Public Schools," Working Papers 1604, Department of Economics, University of Missouri, revised Jul 2017.

  9. Shawn Ni & Michael Podgursky, 2011. "How Teachers Respond to Pension System Incentives: New Estimates and Policy Applications," Working Papers 1111, Department of Economics, University of Missouri, revised 20 Jan 2015.

    Cited by:

    1. Dongwoo Kim & Cory Koedel & Wei Kong & Shawn Ni & Michael Podgursky & Weiwei Wu, 2021. "Pensions and Late-Career Teacher Retention," Education Finance and Policy, MIT Press, vol. 16(1), pages 42-65, Winter.
    2. Vera, Celia Patricia, 2018. "A structural approach to assessing retention policies in public schools," MPRA Paper 90657, University Library of Munich, Germany.
    3. Justin Falk & Nadia Karamcheva, 2018. "Comparing the Effects of Current Pay and Defined Benefit Pensions on Employee Retention: Working Paper 2018-06," Working Papers 54056, Congressional Budget Office.
    4. Dillon Fuchsman & Josh McGee & Gema Zamarro, 2022. "Teachers’ Knowledge and Preparedness for Retirement: Results from a Nationally Representative Teacher Survey," Working Papers 21-5, Sinquefield Center for Applied Economic Research, Saint Louis University.
    5. Shawn Ni & Michael Podgursky & Xiqian Wang, 2018. "Teacher Pension Plan Incentives, Retirement Decisions, and Workforce Quality," Working Papers 1815, Department of Economics, University of Missouri.
    6. Dan Goldhaber & Cyrus Grout & Kristian L. Holden & Josh B. McGee, 2024. "Evidence on the Relationship between Pension-Driven Financial Incentives and Late-Career Attrition: Implications for Pension Reform," ILR Review, Cornell University, ILR School, vol. 77(2), pages 175-198, March.
    7. Shawn Ni & Michael Podgursky & Xiqian Wang, 2020. "Teacher Pension Enhancements and Staffing in an Urban School District," Working Papers 2006, Department of Economics, University of Missouri.
    8. Robert M. Costrell & Josh McGee, 2019. "Cross-Subsidization of Teacher Pension Costs: The Case of California," Education Finance and Policy, MIT Press, vol. 14(2), pages 327-354, Spring.
    9. María del Carmen Valls Martínez & José Manuel Santos-Jaén & Fahim-ul Amin & Pedro Antonio Martín-Cervantes, 2021. "Pensions, Ageing and Social Security Research: Literature Review and Global Trends," Mathematics, MDPI, vol. 9(24), pages 1-25, December.
    10. Bloomfield, Adam & Goodman, Lucas & Rao, Manita & Slavov, Sita, 2025. "State Auto-IRA policies and firm behavior: Lessons from administrative tax data," Journal of Public Economics, Elsevier, vol. 247(C).
    11. Quinby, Laura D. & Wettstein, Gal, 2021. "Do deferred benefit cuts for current employees increase separation?," Labour Economics, Elsevier, vol. 73(C).
    12. Melinda S. Morrill & John Westall, 2018. "Social Security and Retirement Timing: Evidence from a National Sample of Teachers," NBER Working Papers 25411, National Bureau of Economic Research, Inc.
    13. Vera Celia P., 2019. "A Structural Approach to Assessing Retention Policies in Public Schools," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(3), pages 1-26, July.
    14. Laura D. Quinby, 2020. "Do Deferred Retirement Benefits Retain Government Employees?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(2), pages 469-509, March.
    15. Knapp, David & Hosek, James & Mattock, Michael G. & Asch, Beth J., 2023. "Predicting teacher retention behavior: Ex ante prediction and ex post realization of a voluntary retirement incentive offer," Economics of Education Review, Elsevier, vol. 93(C).
    16. Maria D. Fitzpatrick, 2018. "Pension Reform and Return to Work Policies," NBER Working Papers 25299, National Bureau of Economic Research, Inc.
    17. Kim, Dongwoo, 2020. "Worker retirement responses to pension incentives: Do they respond to pension wealth?," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 365-385.

  10. J. Isaac Miller & Shawn Ni, 2010. "Long-Term Oil Price Forecasts: A New Perspective on Oil and the Macroeconomy," Working Papers 1012, Department of Economics, University of Missouri.

    Cited by:

    1. Turhan, M. Ibrahim & Sensoy, Ahmet & Ozturk, Kevser & Hacihasanoglu, Erk, 2014. "A view to the long-run dynamic relationship between crude oil and the major asset classes," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 286-299.
    2. Ratti, Ronald A. & Vespignani, Joaquin L., 2013. "Liquidity and crude oil prices: China's influence over 1996–2011," Economic Modelling, Elsevier, vol. 33(C), pages 517-525.
    3. Zhang, Chuanguo & Chen, Xiaoqing, 2014. "The impact of global oil price shocks on China’s bulk commodity markets and fundamental industries," Energy Policy, Elsevier, vol. 66(C), pages 32-41.
    4. {L}ukasz Bielak & Aleksandra Grzesiek & Joanna Janczura & Agnieszka Wy{l}oma'nska, 2021. "Market risk factors analysis for an international mining company. Multi-dimensional, heavy-tailed-based modelling," Papers 2107.07142, arXiv.org.
    5. Claudio Morana, 2012. "The Oil price-Macroeconomy Relationship since the Mid- 1980s: A global perspective," Working Papers 2012.28, Fondazione Eni Enrico Mattei.
    6. Costa, Alexandre Bonnet R. & Ferreira, Pedro Cavalcanti G. & Gaglianone, Wagner P. & Guillén, Osmani Teixeira C. & Issler, João Victor & Lin, Yihao, 2021. "Machine learning and oil price point and density forecasting," Energy Economics, Elsevier, vol. 102(C).
    7. Alexander HARIN, 2014. "Partially Unforeseen Events. Corrections and Correcting Formulae for Forecasts," Expert Journal of Economics, Sprint Investify, vol. 2(2), pages 69-79.
    8. Ratti, Ronald A & Vespignani, Joaquin L., 2012. "Crude Oil Prices: China’s Influence Over 1996-2011," Working Papers 15728, University of Tasmania, Tasmanian School of Business and Economics, revised 17 Dec 2012.
    9. Benk, Szilard & Gillman, Max, 2023. "Identifying money and inflation expectation shocks to real oil prices," Energy Economics, Elsevier, vol. 126(C).
    10. J. Isaac Miller, 2012. "Mixed-frequency Cointegrating Regressions with Parsimonious Distributed Lag Structures," Working Papers 1211, Department of Economics, University of Missouri.
    11. Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020. "Using entropy to assess dynamic behaviour of long-term copper price," Resources Policy, Elsevier, vol. 66(C).
    12. Angelo Mont’Alverne Duarte & Wagner Piazza Gaglianone & Osmani Teixeira de Carvalho Guillén & João Victor Issler, 2020. "Commodity Prices and Global Economic Activity: a derived-demand approach," Working Papers Series 539, Central Bank of Brazil, Research Department.

  11. Shawn Ni & Antonello Loddo & Dongchu Sun, 2009. "Selection of Multivariate Stochastic Volatility Models via Bayesian Stochastic Search," Working Papers 0911, Department of Economics, University of Missouri.

    Cited by:

    1. Roberto Casarin & Marco Tronzano & Domenico Sartore, 2013. "Bayesian Markov Switching Stochastic Correlation Models," Working Papers 2013:11, Department of Economics, University of Venice "Ca' Foscari".
    2. Gregor Kastner, 2016. "Sparse Bayesian time-varying covariance estimation in many dimensions," Papers 1608.08468, arXiv.org, revised Nov 2017.
    3. Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Documentos de Trabajo del ICAE 2016-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    4. Asai, Manabu & Chang, Chia-Lin & McAleer, Michael, 2022. "Realized matrix-exponential stochastic volatility with asymmetry, long memory and higher-moment spillovers," Journal of Econometrics, Elsevier, vol. 227(1), pages 285-304.
    5. Ishihara, Tsunehiro & Omori, Yasuhiro & Asai, Manabu, 2016. "Matrix exponential stochastic volatility with cross leverage," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 331-350.
    6. Roberto Casarin & Domenico Sartore & Marco Tronzano, 2018. "A Bayesian Markov-Switching Correlation Model for Contagion Analysis on Exchange Rate Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 101-114, January.

  12. Ni, Shawn & Ratti, Ronald A., 2009. "Heterogeneous Parameter Uncertainty and the Timing of Investment during Crisis," Economics Discussion Papers 2009-12, Kiel Institute for the World Economy.

    Cited by:

    1. Dimitrios Vortelinos & Angeliki Menegaki & Ioannis Passas & Alexandros Garefalakis & Georgios Viskadouros, 2024. "Heterogeneous Responses of Energy and Non-Energy Assets to Crises in Commodity Markets," Energies, MDPI, vol. 17(21), pages 1-25, October.
    2. David Meenagh & Patrick Minford, 2012. "Non Stationary Shocks, Crises and Policy," Rivista italiana degli economisti, Società editrice il Mulino, issue 2, pages 191-224.

  13. Shawn Ni & Pham Hoang Van, 2005. "High Corruption Income in Ming and Qing China," Working Papers 0503, Department of Economics, University of Missouri.

    Cited by:

    1. Bai, Ying, 2019. "Farewell to confucianism: The modernizing effect of dismantling China's imperial examination system," Journal of Development Economics, Elsevier, vol. 141(C).
    2. Sng, Tuan-Hwee & Moriguchi, Chiaki, 2014. "Asia's Little Divergence: State Capacity in China and Japan before 1850," PRIMCED Discussion Paper Series 58, Institute of Economic Research, Hitotsubashi University.
    3. Pei Gao, 2015. "Risen from Chaos: What drove the spread of Mass Education in the early 20th century China," Working Papers 0089, European Historical Economics Society (EHES).
    4. Jiwei Qian & Tuan‐Hwee Sng, 2021. "The state in Chinese economic history," Australian Economic History Review, Economic History Society of Australia and New Zealand, vol. 61(3), pages 359-395, November.
    5. Yang, Li & Milanovic, Branko & Lin, Yaoqi, 2023. "Anti-Corruption Campaign in China: An Empirical Investigation," SocArXiv b3jze, Center for Open Science.
    6. Van-Ha Le & Jakob de Haan & Erik Dietzenbacher & Jakob de Haan, 2013. "Do Higher Government Wages Reduce Corruption? Evidence Based on a Novel Dataset," CESifo Working Paper Series 4254, CESifo.
    7. Logan (Geng) Li & Zhengwei Wang, 2022. "Understanding the long‐term effects of Keju: The case of entrepreneurship in China," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 30(4), pages 665-689, October.
    8. Sng, Tuan-Hwee & Moriguchi, Chiaki, 2013. "Taxation and Public Goods Provision in China and Japan before 1850," PRIMCED Discussion Paper Series 35, Institute of Economic Research, Hitotsubashi University.
    9. Sng, Tuan-Hwee, 2014. "Size and dynastic decline: The principal-agent problem in late imperial China, 1700–1850," Explorations in Economic History, Elsevier, vol. 54(C), pages 107-127.

Articles

  1. Dongwoo Kim & Cory Koedel & Wei Kong & Shawn Ni & Michael Podgursky & Weiwei Wu, 2021. "Pensions and Late-Career Teacher Retention," Education Finance and Policy, MIT Press, vol. 16(1), pages 42-65, Winter.
    See citations under working paper version above.
  2. Kim, Dongwoo & Koedel, Cory & Ni, Shawn & Podgursky, Michael, 2017. "Labor market frictions and production efficiency in public schools," Economics of Education Review, Elsevier, vol. 60(C), pages 54-67.
    See citations under working paper version above.
  3. Shawn Ni & Michael Podgursky, 2016. "How Teachers Respond to Pension System Incentives: New Estimates and Policy Applications," Journal of Labor Economics, University of Chicago Press, vol. 34(4), pages 1075-1104.
    See citations under working paper version above.
  4. Cory Koedel & Shawn Ni & Michael Podgursky, 2014. "Who Benefits from Pension Enhancements?," Education Finance and Policy, MIT Press, vol. 9(2), pages 165-192, March.
    See citations under working paper version above.
  5. Ni, Shawn & Seol, Youn, 2014. "New evidence on excess sensitivity of household consumption," Journal of Monetary Economics, Elsevier, vol. 63(C), pages 80-94.

    Cited by:

    1. Kim, H. Youn, 2017. "The permanent income hypothesis, transitional dynamics, and excess sensitivity of consumption," Structural Change and Economic Dynamics, Elsevier, vol. 40(C), pages 10-25.
    2. Concetta Rondinelli & Roberta Zizza, 2020. "Spend today or spend tomorrow? The role of inflation expectations in consumer behaviour," Temi di discussione (Economic working papers) 1276, Bank of Italy, Economic Research and International Relations Area.
    3. Sena Durguner, 2018. "Variations in farm consumption and their relationship to income: an empirical investigation of Illinois farm households," Applied Economics, Taylor & Francis Journals, vol. 50(9), pages 990-1005, February.
    4. Tomas Havranek & Anna Sokolova, 2016. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 130 Studies Say “Probably Not”," Working Papers IES 2016/15, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jul 2016.
    5. Adamopoulou, Effrosyni & Zizza, Roberta, 2017. "Regular versus Lump-Sum Payments in Union Contracts and Household Consumption," IZA Discussion Papers 10509, IZA Network @ LISER.
    6. Effrosyni Adamopoulou & Roberta Zizza, 2015. "Accessorizing. The effect of union contract renewals on consumption," Temi di discussione (Economic working papers) 1024, Bank of Italy, Economic Research and International Relations Area.
    7. Vellekoop, Nathanael, 2018. "Explaining intra-monthly consumption patterns: The timing of income or the timing of consumption commitments?," SAFE Working Paper Series 237, Leibniz Institute for Financial Research SAFE.
    8. Tomas Havranek & Anna Sokolova, 2020. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 144 Studies Say 'Probably Not'," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 35, pages 97-122, January.
    9. Hiroaki Hayakawa, 2020. "Consumer behavior in a monetary economy and smoothing of composite consumption," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 10(1), pages 89-122, March.
    10. Zhao, Da & Chen, Yifan & Shen, Jim.H., 2020. "Mortgage payments and household consumption in urban China," Economic Modelling, Elsevier, vol. 93(C), pages 100-111.
    11. Aeggarchat Sirisankanan, 2023. "The Response of Household Savings to Anticipated Income Changes: Natural Experiments Using Natural and Non-Natural Factors," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 48(2), pages 1-31.

  6. Sun, Dongchu & Ni, Shawn, 2014. "A Bayesian analysis of normalized VAR models," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 247-259.

    Cited by:

    1. Koglin, Till, 2015. "Organisation does matter – planning for cycling in Stockholm and Copenhagen," Transport Policy, Elsevier, vol. 39(C), pages 55-62.

  7. Loddo, Antonello & Ni, Shawn & Sun, Dongchu, 2011. "Selection of Multivariate Stochastic Volatility Models via Bayesian Stochastic Search," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(3), pages 342-355.
    See citations under working paper version above.
  8. Miller, J. Isaac & Ni, Shawn, 2011. "Long-Term Oil Price Forecasts: A New Perspective On Oil And The Macroeconomy," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 396-415, November.
    See citations under working paper version above.
  9. Ni, Shawn & Ratti, Ronald A., 2009. "Heterogeneous parameter uncertainty and the timing of investment during crisis," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 3, pages 1-22.
    See citations under working paper version above.
  10. George, Edward I. & Sun, Dongchu & Ni, Shawn, 2008. "Bayesian stochastic search for VAR model restrictions," Journal of Econometrics, Elsevier, vol. 142(1), pages 553-580, January.

    Cited by:

    1. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    2. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    3. Mackowiak, Bartosz & Jarocinski, Marek, 2013. "Granger-Causal-Priority and Choice of Variables in Vector Autoregressions," CEPR Discussion Papers 9686, Centre for Economic Policy Research.
    4. Sebastian Ankargren & Mårten Bjellerup & Hovick Shahnazarian, 2017. "The importance of the financial system for the real economy," Empirical Economics, Springer, vol. 53(4), pages 1553-1586, December.
    5. Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2023. "Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage," International Journal of Forecasting, Elsevier, vol. 39(1), pages 346-363.
    6. Hauzenberger, Niko & Huber, Florian, 2018. "Model instability in predictive exchange rate regressions," Department of Economics Working Paper Series 276, WU Vienna University of Economics and Business.
    7. Gruber, Lutz F. & West, Mike, 2017. "Bayesian online variable selection and scalable multivariate volatility forecasting in simultaneous graphical dynamic linear models," Econometrics and Statistics, Elsevier, vol. 3(C), pages 3-22.
    8. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    9. Deborah Gefang & Gary Koop & Aubrey Poon, 2019. "Variational Bayesian Inference in Large Vector Autoregressions with Hierarchical Shrinkage," CAMA Working Papers 2019-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. David Kohns & Tibor Szendrei, 2021. "Decoupling Shrinkage and Selection for the Bayesian Quantile Regression," Papers 2107.08498, arXiv.org.
    11. Manfred M. Fischer & Florian Huber & Michael Pfarrhofer & Petra Staufer‐Steinnocher, 2021. "The Dynamic Impact of Monetary Policy on Regional Housing Prices in the United States," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 49(4), pages 1039-1068, December.
    12. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    13. Mirriam Chitalu Chama-Chiliba & Rangan Gupta & Nonophile Nkambule & Naomi Tlotlego, 2011. "Forecasting Key Macroeconomic Variables of the South African Economy Using Bayesian Variable Selection," Working Papers 201132, University of Pretoria, Department of Economics.
    14. Jursa, Lukáš & Janků, Jan, 2025. "From the core to the European periphery: Spillover effects of financial cycles," Emerging Markets Review, Elsevier, vol. 68(C).
    15. Blazej Mazur, 2015. "Density forecasts based on disaggregate data: nowcasting Polish inflation," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 15, pages 71-87.
    16. Gary Koop, 2012. "Using VARs and TVP-VARs with Many Macroeconomic Variables," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 4(3), pages 143-167, September.
    17. Simon Beyeler, 2019. "Streamlining Time-varying VAR with a Factor Structure in the Parameters," Working Papers 19.03, Swiss National Bank, Study Center Gerzensee.
    18. Niko Hauzenberger & Florian Huber & Luca Onorante, 2021. "Combining shrinkage and sparsity in conjugate vector autoregressive models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 304-327, April.
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    151. Feldkircher, Martin & Huber, Florian, 2016. "The international transmission of US shocks—Evidence from Bayesian global vector autoregressions," European Economic Review, Elsevier, vol. 81(C), pages 167-188.
    152. Joshua C. C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2020. "Composite likelihood methods for large Bayesian VARs with stochastic volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(6), pages 692-711, September.
    153. Sabri Boubaker & Dimitrios Gounopoulos & Duc Khuong Nguyen & Nikos Paltalidis, 2016. "Assessing the Effects of Unconventional Monetary Policy on Pension Funds Risk Incentives," Working Papers 2016-005, Department of Research, Ipag Business School.
    154. Florian Huber & Gregor Kastner & Martin Feldkircher, 2018. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Working Papers in Economics 2018-5, University of Salzburg.
    155. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2014. "Forecasting with Bayesian Global Vector Autoregressive Models: A Comparison of Priors," Working Papers 189, Oesterreichische Nationalbank (Austrian Central Bank).
    156. Daniel Felix Ahelegbey & Luis Carvalho & Eric D. Kolaczyk, 2020. "A Bayesian Covariance Graph And Latent Position Model For Multivariate Financial Time Series," DEM Working Papers Series 181, University of Pavia, Department of Economics and Management.
    157. Teye, Alfred Larm & Ahelegbey, Daniel Felix, 2017. "Detecting spatial and temporal house price diffusion in the Netherlands: A Bayesian network approach," Regional Science and Urban Economics, Elsevier, vol. 65(C), pages 56-64.

  11. Ni, Shawn & Sun, Dongchu & Sun, Xiaoqian, 2007. "Intrinsic Bayesian Estimation of Vector Autoregression Impulse Responses," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 163-176, April.

    Cited by:

    1. DongHyuk Lee & Raymond J. Carroll & Samiran Sinha, 2017. "Frequentist standard errors of Bayes estimators," Computational Statistics, Springer, vol. 32(3), pages 867-888, September.
    2. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2014. "Regime Switching Model of US Crude Oil and Stock Market Prices: 1859 to 2013," Working papers 2014-26, University of Connecticut, Department of Economics.
    3. David E. Allen & Chialin Chang & Michael McAleer & Abhay K Singh, 2018. "A cointegration analysis of agricultural, energy and bio-fuel spot, and futures prices," Applied Economics, Taylor & Francis Journals, vol. 50(7), pages 804-823, February.
    4. Mehmet Balcilar & Reneé van Eyden & Josine Uwilingiye & Rangan Gupta, 2014. "The impact of oil price on South African GDP growth: A Bayesian Markov Switching-VAR analysis," Working Papers 15-13, Eastern Mediterranean University, Department of Economics.
    5. Chuanming Gao & Kajal Lahiri, 2019. "A Comparison of Some Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometrics, MDPI, vol. 7(3), pages 1-28, July.
    6. Bandyopadhyay, Sanghamitra & Sun, Rui, 2025. "Size matters: Measuring the effects of inequality and growth shocks," China Economic Review, Elsevier, vol. 93(C).
    7. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.

  12. Ni, Shawn & Van, Pham Hoang, 2006. "High corruption income in Ming and Qing China," Journal of Development Economics, Elsevier, vol. 81(2), pages 316-336, December.
    See citations under working paper version above.
  13. Shawn Ni & Dongchu Sun, 2005. "Bayesian Estimates for Vector Autoregressive Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 105-117, January.

    Cited by:

    1. Cyriac Guillaumin & Jean-Baptiste Gossé, 2012. "Can external shocks explain the Asian side of global imbalances ? Lessons from a structural VAR model with block exogeneity," Post-Print halshs-00706743, HAL.
    2. Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pinter, Gabor, 2016. "VAR models with non-Gaussian shocks," LSE Research Online Documents on Economics 86238, London School of Economics and Political Science, LSE Library.
    3. Dean Fantazzini & Julia Pushchelenko & Alexey Mironenkov & Alexey Kurbatskii, 2021. "Forecasting Internal Migration in Russia Using Google Trends: Evidence from Moscow and Saint Petersburg," Forecasting, MDPI, vol. 3(4), pages 1-30, October.
    4. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2016. "Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem," Journal of Econometrics, Elsevier, vol. 192(1), pages 190-206.
    5. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2014. "Bayesian analysis of dynamic factor models: An ex-post approach towards the rotation problem," Kiel Working Papers 1902, Kiel Institute for the World Economy.
    6. Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pintér, Gábor, 2017. "Forecasting with VAR models: Fat tails and stochastic volatility," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1124-1143.
    7. Chen, Jing & Buckland, Roger & Williams, Julian, 2011. "Regulatory changes, market integration and spillover effects in the Chinese A, B and Hong Kong equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 19(4), pages 351-373, September.
    8. T. Manouchehri & A. R. Nematollahi, 2019. "Periodic autoregressive models with closed skew-normal innovations," Computational Statistics, Springer, vol. 34(3), pages 1183-1213, September.
    9. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    10. Sune Karlsson & Stepan Mazur & Hoang Nguyen, 2021. "Vector autoregression models with skewness and heavy tails," Papers 2105.11182, arXiv.org.
    11. Bobeica, Elena & Hartwig, Benny, 2021. "The COVID-19 shock and challenges for time series models," Working Paper Series 2558, European Central Bank.
    12. Kiss, Tamas & Nguyen, Hoang & Österholm, Pär, 2022. "Modelling Okun’s Law – Does non-Gaussianity Matter?," Working Papers 2022:1, Örebro University, School of Business.
    13. Karlsson, Sune & Mazur, Stepan, 2020. "Flexible Fat-tailed Vector Autoregression," Working Papers 2020:5, Örebro University, School of Business.
    14. Lee, Namgil & Choi, Hyemi & Kim, Sung-Ho, 2016. "Bayes shrinkage estimation for high-dimensional VAR models with scale mixture of normal distributions for noise," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 250-276.
    15. Kociecki, Andrzej, 2012. "Orbital Priors for Time-Series Models," MPRA Paper 42804, University Library of Munich, Germany.
    16. Nicolò Bertani & Shane T. Jensen & Ville A. Satopää, 2025. "Joint Bottom-up Method for Probabilistic Forecasting of Hierarchical Time Series," Operations Research, INFORMS, vol. 73(6), pages 3260-3277, November.
    17. Bandyopadhyay, Sanghamitra & Sun, Rui, 2025. "Size matters: Measuring the effects of inequality and growth shocks," China Economic Review, Elsevier, vol. 93(C).
    18. Rangan Gupta & Moses M. Sichei, 2006. "A Bvar Model For The South African Economy," South African Journal of Economics, Economic Society of South Africa, vol. 74(3), pages 391-409, September.
    19. Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
    20. Chih-Wen Hsu & Marick Sinay & John Hsu, 2012. "Bayesian estimation of a covariance matrix with flexible prior specification," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 64(2), pages 319-342, April.
    21. Karling, Maicon J. & Lopes, Sílvia R.C. & de Souza, Roberto M., 2023. "Multivariate α-stable distributions: VAR(1) processes, measures of dependence and their estimations," Journal of Multivariate Analysis, Elsevier, vol. 195(C).
    22. Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
    23. Ossama Mikhail, 2005. "What Happens After A Technology Shock? A Bayesian Perspective," Macroeconomics 0510016, University Library of Munich, Germany.

  14. Ni, Shawn & Raymon, Neil, 2004. "Price uncertainty and consumer welfare in an intertemporal setting," Journal of Economic Dynamics and Control, Elsevier, vol. 28(9), pages 1877-1901, July.

    Cited by:

    1. Nocetti, Diego & Smith, William T., 2011. "Price uncertainty, saving, and welfare," Journal of Economic Dynamics and Control, Elsevier, vol. 35(7), pages 1139-1149, July.

  15. Ni, Shawn & Sun, Dongchu, 2003. "Noninformative priors and frequentist risks of bayesian estimators of vector-autoregressive models," Journal of Econometrics, Elsevier, vol. 115(1), pages 159-197, July.

    Cited by:

    1. Rodney W. Strachan & Herman K. Van Dijk, 2013. "Evidence On Features Of A Dsge Business Cycle Model From Bayesian Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(1), pages 385-402, February.
    2. Rodney W. Strachan & Herman K. van Dijk, 2014. "Divergent Priors and Well Behaved Bayes Factors," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(1), pages 1-31, March.
    3. K. Triantafyllopoulos, 2011. "Time-varying vector autoregressive models with stochastic volatility," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(2), pages 369-382, September.
    4. K. Triantafyllopoulos & G. Montana, 2011. "Dynamic modeling of mean-reverting spreads for statistical arbitrage," Computational Management Science, Springer, vol. 8(1), pages 23-49, April.
    5. K. Triantafyllopoulos, 2007. "Covariance estimation for multivariate conditionally Gaussian dynamic linear models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 26(8), pages 551-569.
    6. Gefang Deborah & Strachan Rodney, 2009. "Nonlinear Impacts of International Business Cycles on the U.K. -- A Bayesian Smooth Transition VAR Approach," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(1), pages 1-33, December.
    7. T. Manouchehri & A. R. Nematollahi, 2019. "Periodic autoregressive models with closed skew-normal innovations," Computational Statistics, Springer, vol. 34(3), pages 1183-1213, September.
    8. Ghent, Andra C., 2009. "Comparing DSGE-VAR forecasting models: How big are the differences?," Journal of Economic Dynamics and Control, Elsevier, vol. 33(4), pages 864-882, April.
    9. Sun, Dongchu & Ni, Shawn, 2014. "A Bayesian analysis of normalized VAR models," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 247-259.
    10. Chuanming Gao & Kajal Lahiri, 2019. "A Comparison of Some Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometrics, MDPI, vol. 7(3), pages 1-28, July.
    11. Kociecki, Andrzej, 2012. "Orbital Priors for Time-Series Models," MPRA Paper 42804, University Library of Munich, Germany.
    12. Andrew J. Womack & Luis León-Novelo & George Casella, 2014. "Inference From Intrinsic Bayes' Procedures Under Model Selection and Uncertainty," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 1040-1053, September.
    13. Ghent, Andra, 2006. "Comparing Models of Macroeconomic Fluctuations: How Big Are the Differences?," MPRA Paper 180, University Library of Munich, Germany.
    14. Rodney Strachan & Herman K. van Dijk, "undated". "Bayesian Model Averaging in Vector Autoregressive Processes with an Investigation of Stability of the US Great Ratios and Risk of a Liquidity Trap in the USA, UK and Japan," MRG Discussion Paper Series 1407, School of Economics, University of Queensland, Australia.
    15. Bart Diris & Franz Palm & Peter Schotman, 2015. "Long-Term Strategic Asset Allocation: An Out-of-Sample Evaluation," Management Science, INFORMS, vol. 61(9), pages 2185-2202, September.
    16. Roy P. P. M. Hoevenaars & Roderick D. J. Molenaar & Peter C. Schotman & Tom B. M. Steenkamp, 2014. "Strategic Asset Allocation For Long‐Term Investors: Parameter Uncertainty And Prior Information," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(3), pages 353-376, April.
    17. Tao Zha, 2007. "Comment on An and Schorfheide's Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 205-210.
    18. Deborah Gefang, 2012. "Money‐output Causality Revisited – A Bayesian Logistic Smooth Transition VECM Perspective," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(1), pages 131-151, February.
    19. Matthieu Droumaguet & Anders Warne & Tomasz Wozniak, 2015. "Granger Causality and Regime Inference in Bayesian Markov-Switching VARs," Department of Economics - Working Papers Series 1191, The University of Melbourne.
    20. Tao Zeng & Yong Li & Jun Yu, 2014. "Deviance Information Criterion for Comparing VAR Models," Working Papers 01-2014, Singapore Management University, School of Economics.

  16. Lee, Kiseok & Ni, Shawn, 2002. "On the dynamic effects of oil price shocks: a study using industry level data," Journal of Monetary Economics, Elsevier, vol. 49(4), pages 823-852, May.

    Cited by:

    1. Wensheng Kang & Ronald A. Ratti & Joaquin L. Vespignani, 2017. "Global Commodity Prices and Global Stock Volatility Shocks: Effects across Countries," Globalization Institute Working Papers 311, Federal Reserve Bank of Dallas.
    2. Matthias Kehrig & Nicolas L. Ziebarth, 2017. "The Effects of the Real Oil Price on Regional Wage Dispersion," CESifo Working Paper Series 6408, CESifo.
    3. Wensheng Kang & Jing Wang, 2018. "Oil shocks, policy uncertainty and earnings surprises," Review of Quantitative Finance and Accounting, Springer, vol. 51(2), pages 375-388, August.
    4. Camarero, Mariam & Forte, Anabel & Garcia-Donato, Gonzalo & Mendoza, Yurena & Ordoñez, Javier, 2015. "Variable selection in the analysis of energy consumption–growth nexus," Energy Economics, Elsevier, vol. 52(PA), pages 207-216.
    5. Mahmood -ur- Rahman & Zakaria Zoundi, 2018. "Macroeconomic Response of Disentangled Oil Price Shocks: Empirical Evidence from Japan," Economics Bulletin, AccessEcon, vol. 38(4), pages 2240-2253.
    6. Muhammad Arshad Khan & Ayaz Ahmed, 2011. "Macroeconomic Effects of Global Food and Oil Price Shocks to the Pakistan Economy: A Structural Vector Autoregressive (SVAR) Analysis," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 50(4), pages 491-511.
    7. Martin Geiger & Johann Scharler, 2018. "How do consumers interpret the macroeconomic effects of oil price fluctuations? Evidence from U.S. survey data," Working Papers 2018-13, Faculty of Economics and Statistics, Universität Innsbruck.
    8. Blaise Gnimassoun & Marc Joëts & Tovonony Razafindrabe, 2016. "On the link between current account and oil price fluctuations in diversified economies: The case of Canada," EconomiX Working Papers 2016-35, University of Paris Nanterre, EconomiX.
    9. Martin Geiger & Jochen Güntner, 2019. "How are oil supply shocks transmitted to the U.S. economy?," Economics working papers 2019-13, Department of Economics, Johannes Kepler University Linz, Austria.
    10. Abhay Abhyankar & Bing Xu & Jiayue Wang, 2013. "Oil Price Shocks and the Stock Market: Evidence from Japan," The Energy Journal, , vol. 34(2), pages 199-222, April.
    11. Jin‐Yu Chen & Xue‐Hong Zhu & Mei‐Rui Zhong, 2021. "Time‐varying effects and structural change of oil price shocks on industrial output: Evidence from China's oil industrial chain," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3460-3472, July.
    12. Yingce Yang & Junjie Guo & Ruihong He, 2023. "The Asymmetric Impact of the Oil Price and Disaggregate Shocks on Economic Policy Uncertainty: Evidence From China," SAGE Open, , vol. 13(2), pages 21582440231, June.
    13. Cunado, Juncal & Jo, Soojin & Perez de Gracia, Fernando, 2015. "Macroeconomic impacts of oil price shocks in Asian economies," Energy Policy, Elsevier, vol. 86(C), pages 867-879.
    14. Afees A. Salisu & Umar B. Ndako & Idris Adediran, 2018. "Forecasting GDP of OPEC: The role of oil price," Working Papers 044, Centre for Econometric and Allied Research, University of Ibadan.
    15. Kallis, Giorgos & Sager, Jalel, 2017. "Oil and the economy: A systematic review of the literature for ecological economists," Ecological Economics, Elsevier, vol. 131(C), pages 561-571.
    16. Dong Kim, 2012. "What is an oil shock? Panel data evidence," Empirical Economics, Springer, vol. 43(1), pages 121-143, August.
    17. Rajeev Dhawan & Karsten Jeske, 2006. "Energy price shocks and the macroeconomy: the role of consumer durables," FRB Atlanta Working Paper 2006-09, Federal Reserve Bank of Atlanta.
    18. Salisu, Afees A. & Raheem, Ibrahim D. & Ndako, Umar B., 2019. "A sectoral analysis of asymmetric nexus between oil price and stock returns," International Review of Economics & Finance, Elsevier, vol. 61(C), pages 241-259.
    19. Kevin L. Kliesen, 2008. "Oil and the U.S. macroeconomy: an update and a simple forecasting exercise," Review, Federal Reserve Bank of St. Louis, vol. 90(Sep), pages 505-516.
    20. Moses K. Tule & Umar B. Ndako & Samuel F. Onipede, 2017. "Oil price shocks and volatility spillovers in the Nigerian sovereign bond market," Review of Financial Economics, John Wiley & Sons, vol. 35(1), pages 57-65, November.
    21. Hodula Martin & Vahalík Bohdan, 2017. "Effects of oil shocks on EMU exports: technological level differences," Review of Economic Perspectives, Sciendo, vol. 17(4), pages 399-423, December.
    22. Mohamed EL HEDI AROURI & Philippe FOULQUIER & Julien FOUQUAU, 2011. "Oil Prices and Stock Markets in Europe: A Sector Perspective," Discussion Papers (REL - Recherches Economiques de Louvain) 2011011, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    23. Chan, Jenny & Diz, Sebastian & Kanngiesser, Derrick, 2022. "Energy Prices and Household Heterogeneity: Monetary Policy in a Gas-TANK," MPRA Paper 115975, University Library of Munich, Germany, revised Dec 2022.
    24. Acaravci, Ali & Ozturk, Ilhan & Kandir, Serkan Yilmaz, 2012. "Natural gas prices and stock prices: Evidence from EU-15 countries," Economic Modelling, Elsevier, vol. 29(5), pages 1646-1654.
    25. Rebeca Jiménez-Rodríguez, 2004. "Oil Price Shocks: Testing for Non-linearity," CSEF Working Papers 115, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    26. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2014. "Regime Switching Model of US Crude Oil and Stock Market Prices: 1859 to 2013," Working papers 2014-26, University of Connecticut, Department of Economics.
    27. Ramos, Sofía B. & Veiga, Helena & Wang, Chih-Wei, 2012. "Asymmetric long-run effects in the oil industry," DES - Working Papers. Statistics and Econometrics. WS ws120502, Universidad Carlos III de Madrid. Departamento de Estadística.
    28. Nadal, Raquel & Szklo, Alexandre & Lucena, André, 2017. "Time-varying impacts of demand and supply oil shocks on correlations between crude oil prices and stock markets indices," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1011-1020.
    29. Kilian, Lutz & Edelstein, Paul, 2007. "The Response of Business Fixed Investment to Changes in Energy Prices: A Test of Some Hypotheses About the Transmission of Ener," CEPR Discussion Papers 6507, Centre for Economic Policy Research.
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    31. Valadkhani, Abbas & Smyth, Russell, 2017. "How do daily changes in oil prices affect US monthly industrial output?," Energy Economics, Elsevier, vol. 67(C), pages 83-90.
    32. Humera Iram & Abdul Rahim Ridzuan, 2025. "How sensitive are industrial demand and supply to energy price shocks," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 52(1), pages 221-239, March.
    33. Ludwig, Markus, 2012. "The Visible Hand: National Oil Companies, Oil Supply and the Ermergence of the Hotelling Rent," Working papers 2012/11, Faculty of Business and Economics - University of Basel.
    34. Sacchi, Agnese & Salotti, Simone, 2014. "The impact of national fiscal rules on the stabilisation function of fiscal policy," MPRA Paper 56982, University Library of Munich, Germany.
    35. Aggarwal, Raj & Akhigbe, Aigbe & Mohanty, Sunil K., 2012. "Oil price shocks and transportation firm asset prices," Energy Economics, Elsevier, vol. 34(5), pages 1370-1379.
    36. Roengchai Tansuchat & Chia-Lin Chang & Michael McAleer, 2010. "Conditional Correlations and Volatility Spillovers Between Crude Oil and Stock Index Returns," CARF F-Series CARF-F-202, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    37. Ali Ahmed, Huson Joher & Bashar, Omar H.M.N. & Wadud, I.K.M. Mokhtarul, 2012. "The transitory and permanent volatility of oil prices: What implications are there for the US industrial production?," Applied Energy, Elsevier, vol. 92(C), pages 447-455.
    38. Mollick, André V. & Killins, Robert N. & Egly, Peter V. & Johnk, David W., 2024. "Bank equity returns and oil prices: The story from U.S. regional banks during the “shale oil” revolution," Research in International Business and Finance, Elsevier, vol. 70(PA).
    39. Bosupeng, Mpho & Naranpanawa, Athula & Su, Jen-Je, 2024. "Does exchange rate volatility affect the impact of appreciation and depreciation on the trade balance? A nonlinear bivariate approach," Economic Modelling, Elsevier, vol. 130(C).
    40. Chen, Natalie & Graham, Liam & Oswald, Andrew J, 2007. "Oil Prices, Profits, and Recessions : An Inquiry Using Terrorism as an Instrumental Variable," The Warwick Economics Research Paper Series (TWERPS) 809, University of Warwick, Department of Economics.
    41. Holm-Hadulla, Fédéric & Hubrich, Kirstin, 2017. "Macroeconomic implications of oil price fluctuations: a regime-switching framework for the euro area," Working Paper Series 2119, European Central Bank.
    42. Nermeen Harb & Mamdouh Abdelmoula M. Abdelsalam, 2019. "Effect Of Oil Prices On Stock Markets: Evidence From New Generation Of Star Model," Bulletin of Economic Research, Wiley Blackwell, vol. 71(3), pages 466-482, July.
    43. Conny Olovsson, 2019. "Oil prices in a general equilibrium model with precautionary demand for oil," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 1-17, April.
    44. David C Broadstock & Rui Wang & Dayong Zhang, 2014. "The direct and indirect effects of oil shocks on energy related stocks," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 146, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    45. Donald W. Jones & Paul N. Leiby & Inja K. Paik, 2004. "Oil Price Shocks and the Macroeconomy: What Has Been Learned Since 1996," The Energy Journal, , vol. 25(2), pages 1-32, April.
    46. Sunil Mohanty & Aigbe Akhigbe & Tawfeek Al-Khyal & Turki Bugshan, 2013. "Oil and stock market activity when prices go up and down: the case of the oil and gas industry," Review of Quantitative Finance and Accounting, Springer, vol. 41(2), pages 253-272, August.
    47. Evrim Mandacı, Pınar & Cagli, Efe Çaglar & Taşkın, Dilvin, 2020. "Dynamic connectedness and portfolio strategies: Energy and metal markets," Resources Policy, Elsevier, vol. 68(C).
    48. Toan Luu Duc Huynh & Rizwan Ahmed & Muhammad Ali Nasir & Muhammad Shahbaz & Ngoc Quang Anh Huynh, 2024. "The nexus between black and digital gold: evidence from US markets," Annals of Operations Research, Springer, vol. 334(1), pages 521-546, March.
    49. Knop, Stephen J. & Vespignani, Joaquin L., 2014. "The sectorial impact of commodity price shocks in Australia," Economic Modelling, Elsevier, vol. 42(C), pages 257-271.
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    51. Yue Ma & Ling Miao & Lianyong Feng & Ruirui Fang, 2026. "The ripple effects of international energy prices on domestic products in China under external shocks," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 28(3), pages 7129-7145, March.
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    54. Laura Cueppers & Dieter Smeets, 2015. "How Do Oil Price Changes Affect German Stock Returns?," International Journal of Energy Economics and Policy, Econjournals, vol. 5(1), pages 321-334.
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    57. FRIAS-PINEDO, Isidro, 2013. "Oil Price Shocks And The Business Cycle In Spain: Is The 2008 Financial Crisis Different?," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 13(2), pages 15-26.
    58. Farhan Ahmed & Muhammad Osama Daudpota & Muhammad Kashif, 2017. "Oil Price Shocks And Industry Level Production Using Vector Autoregression: Empirical Evidence From Pakistan," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 11(3), pages 13-25.
    59. Apergis, Nicholas & Miller, Stephen M., 2009. "Do structural oil-market shocks affect stock prices?," Energy Economics, Elsevier, vol. 31(4), pages 569-575, July.
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    61. Soojin Jo & Lilia Karnizova & Abeer Reza, 2017. "Industry Effects of Oil Price Shocks: Re-Examination," Working Papers 1710, Federal Reserve Bank of Dallas.
    62. David C Broadstock & Hong Cao & Dayong Zhang, 2012. "Oil Shocks and their Impact on Energy Related Stocks in China," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 137, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    63. Miria A. Pigato, 2019. "Fiscal Policies for Development and Climate Action," World Bank Publications - Books, The World Bank Group, number 31051, April.
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    65. Herrera, Ana María & Karaki, Mohamad B., 2015. "The effects of oil price shocks on job reallocation," Journal of Economic Dynamics and Control, Elsevier, vol. 61(C), pages 95-113.
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    4. Chen, Wanyi & Xu, Jingyu, 2024. "Can digital tax enforcement reduce the risk of corporate debt default?," Economic Analysis and Policy, Elsevier, vol. 83(C), pages 1041-1060.
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    Cited by:

    1. Matthew Taylor & Joe Goldbacher & Charlotte Graham & James Mahon & Mike Chambers, 2026. "Clinical equivalence and non-inferiority within health technology assessment," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 27(1), pages 29-45, February.

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    Cited by:

    1. Kellermann, Kersten, 2007. "Debt financing of public investment: On a popular misinterpretation of "the golden rule of public sector borrowing"," European Journal of Political Economy, Elsevier, vol. 23(4), pages 1088-1104, December.
    2. Kersten Kellermann, 2008. "Should mobile capital pay for public infrastructure investment?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 35(2), pages 129-143, April.

  22. Kiseok Lee & Shawn Ni, 1995. "Inflation uncertainty and real economic activities," Applied Economics Letters, Taylor & Francis Journals, vol. 2(11), pages 460-462.

    Cited by:

    1. Alan M. Taylor, 2002. "A Century Of Purchasing-Power Parity," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 139-150, February.
    2. Wu, Jyh-Lin & Chen, Show-Lin & Lee, Hsiu-Yun, 2003. "Sources of inflation uncertainty and real economic activity," Journal of Macroeconomics, Elsevier, vol. 25(3), pages 397-409, September.
    3. Gerald Stuber, 2001. "Implications of Uncertainty about Long-Run Inflation and the Price Level," Staff Working Papers 01-16, Bank of Canada.
    4. Juan Carlos Echeverry G., 1996. "The Rise And Perpetuation Of A Moderate Inflation, Colombia 1970-1991," Borradores de Economia 3621, Banco de la Republica.
    5. E. Yuksel & Y. Akdi, 2009. "The effect of different inflation risks on interest rates of the US," Applied Economics Letters, Taylor & Francis Journals, vol. 16(2), pages 169-175.

  23. Ni, Shawn & Wang, Xinghe, 1994. "Human capital and income taxation in an endogenous growth model," Journal of Macroeconomics, Elsevier, vol. 16(3), pages 493-507.

    Cited by:

    1. Mr. Dhaneshwar Ghura, 1997. "Private Investment and Endogenous Growth: Evidence From Cameroon," IMF Working Papers 1997/165, International Monetary Fund.
    2. Alireza Poorfaraj & Hadi Keshavarz, 2011. "Knowledge and Economic Growth: Evidence from Some Developing Countries," Journal of Education and Vocational Research, AMH International, vol. 1(1), pages 21-25.
    3. Pierre-Richard Agénor, 2005. "Infrastructure, Public Education and Growth with Congestion Costs," Economics Discussion Paper Series 0524, Economics, The University of Manchester.
    4. Alfred Greiner & Peter Flaschel, 2009. "Economic Policy in a Growth Model with Human Capital, Heterogenous Agents and Unemployment," Computational Economics, Springer;Society for Computational Economics, vol. 33(2), pages 175-192, March.
    5. Md. Saiful Islam, 2020. "Human Capital and Per Capita Income Linkage in South Asia: A Heterogeneous Dynamic Panel Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(4), pages 1614-1629, December.
    6. Greiner, Alfred, 2008. "Fiscal policy in an endogenous growth model with human capital and heterogenous agents," Economic Modelling, Elsevier, vol. 25(4), pages 643-657, July.
    7. Greiner, Alfred, 2008. "Human capital formation, public debt and economic growth," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 415-427, March.
    8. Thomas Doring & Jan Schnellenbach, 2006. "What do we know about geographical knowledge spillovers and regional growth?: A survey of the literature," Regional Studies, Taylor & Francis Journals, vol. 40(3), pages 375-395.
    9. Youngjin Woo & Euijune Kim & Jaewon Lim, 2017. "The Impact of Education and R&D Investment on Regional Economic Growth," Sustainability, MDPI, vol. 9(5), pages 1-18, April.
    10. Adejumo, Oluwabunmi O. & Asongu, Simplice A. & Adejumo, Akintoye V., 2021. "Education enrolment rate vs employment rate: Implications for sustainable human capital development in Nigeria," International Journal of Educational Development, Elsevier, vol. 83(C).
    11. Wang, Lan-Hsun & Liao, Shu-Yi & Huang, Mao-Lung, 2022. "The growth effects of knowledge-based technological change on Taiwan’s industry: A comparison of R&D and education level," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 525-545.
    12. G. Agiomirgianakis & D. Asteriou & V. Monastiriotis, 2002. "Human capital and economic growth revisited: A dynamic panel data study," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 8(3), pages 177-187, August.
    13. Bhattacharyya, Chandril & Gupta, Manash Ranjan, 2020. "Union, Efficiency of Labour and Endogenous Growth," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 61(2), pages 170-202, December.
    14. Geeta Rani & Kavita Baliyan, 2024. "The Economics of Education: A Panel Data Analysis of the Impact of Gendered Human Capital on Output Growth in India," Indian Journal of Human Development, , vol. 18(2), pages 319-339, August.
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    16. Mastromarco, Camilla & Simar, Leopold, 2017. "Cross-Section Dependence and Latent Heterogeneity to Evaluate the Impact of Human Capital on Country Performance," LIDAM Discussion Papers ISBA 2017030, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    17. Idrissa Zida & Idrissa Ouedraogo & Relwendé Sawadogo, 2025. "Effects of public debt on income inequality in sub-Saharan Africa: exploring the direct and indirect transmission channels," Economic Change and Restructuring, Springer, vol. 58(5), pages 1-37, October.
    18. Karambakuwa, Tapuwa & Ncwadi, Ronney & Phiri, Andrew, 2019. "The human capital-economic growth nexus in SSA countries: What can strengthen the relationship?," MPRA Paper 95199, University Library of Munich, Germany.
    19. Dina Mandour, 2007. "Investigating The Impact Of Health and Enviromental Standards on Exports: The Case Of Egyptian Agro-Food Exports To The EU," Working Papers 707, Economic Research Forum, revised 01 Jan 2007.
    20. Peter Flaschel & Alfred Greiner, 2011. "A Future for Capitalism," Books, Edward Elgar Publishing, number 14241, June.
    21. Md. Saiful Islam & Fakhre Alam, 2023. "Influence of Human Capital Formation on the Economic Growth in Bangladesh During 1990–2019: an ARDL Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(3), pages 3010-3027, September.
    22. Anna V. Tikhonova, 2023. "Development of Tax Incentives for Investments in Human Capital," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 1, pages 116-133, February.
    23. Ben Fine, 1998. "Endogenous Growth Theory: A Critical Assessment," Working Papers 80, Department of Economics, SOAS University of London, UK.
    24. AfDB AfDB, 2007. "Working Paper 88 - Growing a Knowledge - Based Economy: Evidence from Public Expenditure on Education in Africa," Working Paper Series 2221, African Development Bank.
    25. Fabienne Dascher-Preising & Alfred Greiner, 2024. "Human Capital Formation With Heterogeneous Agents, Sustainable Debt Policies and Growth: Who Benefits from Fiscal Policy Rules?," Annals of Economics and Finance, Society for AEF, vol. 25(1), pages 175-212, May.
    26. Yao, Yao, 2019. "Does higher education expansion enhance productivity?," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 169-194.
    27. AfDB AfDB, 2007. "Working Paper 88 - Growing a Knowledge - Based Economy: Evidence from Public Expenditure on Education in Africa," Working Paper Series 2301, African Development Bank.
    28. Verbic, Miroslav & Majcen, Boris & Cok, Mitja, 2009. "Education and Economic Growth in Slovenia: A Dynamic General Equilibrium Approach with Endogenous Growth," MPRA Paper 17817, University Library of Munich, Germany.
    29. Chaitali Sinha, 2014. "Human Capital and Public Policy," South Asian Journal of Macroeconomics and Public Finance, , vol. 3(1), pages 79-125, June.

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