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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. Quinby, Laura D. & Wettstein, Gal, 2021. "Do deferred benefit cuts for current employees increase separation?," Labour Economics, Elsevier, vol. 73(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. 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. 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. Peter Hinrichs, 2014. "What Kind of Teachers Are Schools Looking For? Evidence from a Randomized Field Experiment," Working Papers (Old Series) 1436, Federal Reserve Bank of Cleveland.

  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.

  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. 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.

  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. Figlio, David & Karbownik, Krzysztof & Salvanes, Kjell G., 2015. "Education Research and Administrative Data," Discussion Paper Series in Economics 24/2015, Norwegian School of Economics, Department of Economics.
    2. 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.
    3. 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.
    4. Melinda Sandler Morrill & John Westall, 2018. "Social Security and Retirement Timing: Evidence from a National Sample of Teachers," NBER Chapters, in: Incentives and Limitations of Employment Policies on Retirement Transitions, National Bureau of Economic Research, Inc.
    5. Ni, Shawn & Podgursky, Michael & Wang, Xiqan, 2021. "Teacher Pension Enhancements and Staffing in an Urban School District," Working Papers 21-1, Sinquefield Center for Applied Economic Research, Saint Louis University.
    6. 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.
    7. 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.
    8. Wei Kong & Shawn Ni & Michael Podgursky & Weiwei Wu, 2018. "Pension Enhancements and Teacher Retirement Behavior," Working Papers 1814, Department of Economics, University of Missouri.
    9. 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.
    10. 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.
    11. Cory Koedel & P. Brett Xiang, 2017. "Pension Enhancements and the Retention of Public Employees," ILR Review, Cornell University, ILR School, vol. 70(2), pages 519-551, March.
    12. 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. 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. Melinda Sandler Morrill & John Westall, 2018. "Social Security and Retirement Timing: Evidence from a National Sample of Teachers," NBER Chapters, in: Incentives and Limitations of Employment Policies on Retirement Transitions, National Bureau of Economic Research, Inc.
    5. Ni, Shawn & Podgursky, Michael & Wang, Xiqan, 2021. "Teacher Pension Enhancements and Staffing in an Urban School District," Working Papers 21-1, Sinquefield Center for Applied Economic Research, Saint Louis University.
    6. Fuchsman, Dillon & McGee, Josh & Zamarro, Gema, 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.
    7. Quinby, Laura D. & Wettstein, Gal, 2021. "Do deferred benefit cuts for current employees increase separation?," Labour Economics, Elsevier, vol. 73(C).
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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).
    13. 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.
    14. Maria D. Fitzpatrick, 2018. "Pension Reform and Return to Work Policies," NBER Working Papers 25299, National Bureau of Economic Research, Inc.
    15. 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.
    16. 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.

  9. 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. Cory Koedel & Jiaxi Li, 2016. "The Efficiency Implications Of Using Proportional Evaluations To Shape The Teaching Workforce," Contemporary Economic Policy, Western Economic Association International, vol. 34(1), pages 47-62, January.
    2. 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.
    3. 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.
    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.
    5. Maria D. Fitzpatrick, 2013. "Retiree Health Insurance for Public School Employees: Does it Affect Retirement?," CESifo Working Paper Series 4415, CESifo.
    6. 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.
    7. 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.

  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. Morana, Claudio, 2012. "The Oil Price-Macroeconomy Relationship since the Mid- 1980s: A Global Perspective," Energy: Resources and Markets 127423, Fondazione Eni Enrico Mattei (FEEM).
    3. 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.
    4. 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.
    5. 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.
    6. Benk, Szilard & Gillman, Max, 2023. "Identifying money and inflation expectation shocks to real oil prices," Energy Economics, Elsevier, vol. 126(C).
    7. J. Isaac Miller, 2012. "Mixed-frequency Cointegrating Regressions with Parsimonious Distributed Lag Structures," Working Papers 1211, Department of Economics, University of Missouri.
    8. {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.
    9. Tapia, Carlos & Coulton, Jeff & Saydam, Serkan, 2020. "Using entropy to assess dynamic behaviour of long-term copper price," Resources Policy, Elsevier, vol. 66(C).
    10. 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. 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).
    12. Alexander HARIN, 2014. "Partially Unforeseen Events. Corrections and Correcting Formulae for Forecasts," Expert Journal of Economics, Sprint Investify, vol. 2(2), pages 69-79.

  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. Asai, M. & Chang, C-L. & McAleer, M.J., 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Econometric Institute Research Papers EI2016-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. 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".
    3. Gregor Kastner, 2016. "Sparse Bayesian time-varying covariance estimation in many dimensions," Papers 1608.08468, arXiv.org, revised Nov 2017.
    4. Tsunehiro Ishihara & Yasuhiro Omori & Manabu Asai, 2011. "Matrix Exponential Stochastic Volatility with Cross Leverage," CIRJE F-Series CIRJE-F-812, CIRJE, Faculty of Economics, University of Tokyo.
    5. 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.
    6. 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.

  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 (IfW Kiel).

    Cited by:

    1. 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. Tuan-Hwee Sng & Chiaki Moriguchi, 2013. "Taxation and Public Goods Provision in China and Japan before 1850," Global COE Hi-Stat Discussion Paper Series gd12-284, Institute of Economic Research, Hitotsubashi University.
    5. Yang, Li & Milanović, Branko & Lin, Yaoqi, 2023. "Anti-corruption campaign in China: An empirical investigation," ZEW Discussion Papers 23-052, ZEW - Leibniz Centre for European Economic Research.
    6. 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.
    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. 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.
    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. 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.

  6. 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. Adamopoulou, Effrosyni & Zizza, Roberta, 2017. "Regular versus Lump-Sum Payments in Union Contracts and Household Consumption," IZA Discussion Papers 10509, Institute of Labor Economics (IZA).
    2. 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.
    3. 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.
    4. Tomas Havranek & Anna Sokolova, 2016. "Do Consumers Really Follow a Rule of Thumb? Three Thousand Estimates from 130 Studies Say "Probably Not"," HSE Working papers WP BRP 137/EC/2016, National Research University Higher School of Economics.
    5. 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.
    6. 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.
    7. 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.
    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. Sirisankanan, Aeggarchat, 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, June.

  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 (IfW Kiel), 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. Ellington, Michael & Milas, Costas, 2021. "On the economic impact of aggregate liquidity shocks: The case of the UK," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 737-752.
    2. Feldkircher, Martin & Gruber, Thomas & Huber, Florian, 2017. "Spreading the word or reducing the term spread? Assessing spillovers from euro area monetary policy," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168111, Verein für Socialpolitik / German Economic Association.
    3. Koop, Gary & Korobilis, Dimitris, 2016. "Model uncertainty in Panel Vector Autoregressive models," European Economic Review, Elsevier, vol. 81(C), pages 115-131.
    4. Jonas Dovern & Martin Feldkircher & Florian Huber, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 200, Oesterreichische Nationalbank (Austrian Central Bank).
    5. 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.
    6. Michael D. Bauer, 2018. "Restrictions on Risk Prices in Dynamic Term Structure Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(2), pages 196-211, April.
    7. Mackowiak, Bartosz & Jarocinski, Marek, 2013. "Granger-Causal-Priority and Choice of Variables in Vector Autoregressions," CEPR Discussion Papers 9686, C.E.P.R. Discussion Papers.
    8. Matkovskyy, Roman, 2012. "The Index of the Financial Safety (IFS) of South Africa and Bayesian Estimates for IFS Vector-Autoregressive Model," MPRA Paper 42173, University Library of Munich, Germany.
    9. Wensheng Kang & Ronald A. Ratti & Kyung Hwan Yoon, 2015. "Time-varying effect of oil market shocks on the stock market," CAMA Working Papers 2015-35, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    10. Louzis Dimitrios P., 2016. "Steady-state priors and Bayesian variable selection in VAR forecasting," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(5), pages 495-527, December.
    11. Markus Jochmann & Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2009. "Stochastic Search Variable Selection in Vector Error Correction Models with an Application to a Model of the UK Macroeconomy," Working Paper series 44_09, Rimini Centre for Economic Analysis.
    12. 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.
    13. Gary Koop, 2011. "Forecasting with Medium and Large Bayesian VARs," Working Papers 1117, University of Strathclyde Business School, Department of Economics.
    14. 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.
    15. 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.
    16. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2016. "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1371-1391, November.
    17. Gary Koop & Dimitris Korobilis, 2018. "Forecasting with High-Dimensional Panel VARs," Working Paper series 18-20, Rimini Centre for Economic Analysis.
    18. 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.
    19. Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Papers 1607.04532, arXiv.org, revised Jul 2018.
    20. Koop, Gary & Korobilis, Dimitris & Pettenuzzo, Davide, 2019. "Bayesian compressed vector autoregressions," Journal of Econometrics, Elsevier, vol. 210(1), pages 135-154.
    21. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
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  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. 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 201470, University of Pretoria, Department of Economics.
    2. DongHyuk Lee & Raymond J. Carroll & Samiran Sinha, 2017. "Frequentist standard errors of Bayes estimators," Computational Statistics, Springer, vol. 32(3), pages 867-888, September.
    3. 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.
    4. 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.
    5. 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.
    6. 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.

  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. Ching-Wai Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "VAR Models with Non-Gaussian Shocks," Discussion Papers 1609, Centre for Macroeconomics (CFM).
    2. 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.
    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. 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.
    5. 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.
    6. 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 (IfW Kiel).
    7. Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
    8. 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.
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    11. 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.
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    16. 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).
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    21. Kociecki, Andrzej, 2012. "Orbital Priors for Time-Series Models," MPRA Paper 42804, 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. 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.
    2. Ghent, Andra, 2006. "Comparing Models of Macroeconomic Fluctuations: How Big Are the Differences?," MPRA Paper 180, University Library of Munich, Germany.
    3. Tao Zeng & Yong Li & Jun Yu, 2014. "Deviance Information Criterion for Comparing VAR Models," Advances in Econometrics, in: Essays in Honor of Peter C. B. Phillips, volume 33, pages 615-637, Emerald Group Publishing Limited.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. T. Manouchehri & A. R. Nematollahi, 2019. "Periodic autoregressive models with closed skew-normal innovations," Computational Statistics, Springer, vol. 34(3), pages 1183-1213, September.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. Sun, Dongchu & Ni, Shawn, 2014. "A Bayesian analysis of normalized VAR models," Journal of Multivariate Analysis, Elsevier, vol. 124(C), pages 247-259.
    18. 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.
    19. 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.
    20. Kociecki, Andrzej, 2012. "Orbital Priors for Time-Series Models," MPRA Paper 42804, University Library of Munich, Germany.

  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. Fan, Qinbin & Jahan-Parvar, Mohammad R., 2012. "U.S. industry-level returns and oil prices," International Review of Economics & Finance, Elsevier, vol. 22(1), pages 112-128.
    2. 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.
    3. Matthias Kehrig & Nicolas L. Ziebarth, 2017. "The Effects of the Real Oil Price on Regional Wage Dispersion," CESifo Working Paper Series 6408, CESifo.
    4. Imran Shah, 2012. "Revisiting the Dynamic Effects of Oil Price Shock on Small Developing Economies," Bristol Economics Discussion Papers 12/626, School of Economics, University of Bristol, UK.
    5. 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.
    6. 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.
    7. 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.
    8. Abhay Abhyankar, Bing Xu, and Jiayue Wang, 2013. "Oil Price Shocks and the Stock Market: Evidence from Japan," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    9. 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.
    10. Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020. "Spillover effects in oil-related CDS markets during and after the sub-prime crisis," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    11. 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.
    12. Hilde C. Bjørnland & Julia Zhulanova, 2019. "The shale oil boom and the U.S. economy: Spillovers and time-varying effects," Working Paper 2019/14, Norges Bank.
    13. 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.
    14. Kang, Wensheng & Ratti, Ronald A. & Vespignani, Joaquin, 2016. "The impact of oil price shocks on the U.S. stock market: A note on the roles of U.S. and non-U.S. oil production," Economics Letters, Elsevier, vol. 145(C), pages 176-181.
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    21. Hutter, Christian & Weber, Enzo, 2023. "Russia-Ukraine War: A Note on Short-Run Production and Labour Market Effects of the Energy Crisis," MPRA Paper 116620, University Library of Munich, Germany.
    22. Liu, Yang & Han, Liyan & Xu, Yang, 2021. "The impact of geopolitical uncertainty on energy volatility," International Review of Financial Analysis, Elsevier, vol. 75(C).
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    21. Gisle James Natvik, 2009. "Government Spending and the Taylor Principle," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(1), pages 57-77, February.
    22. Kazuo Nishimura & Carine Nourry & Thomas Seegmuller & Alain Venditti, 2014. "On the (de)Stabilizing Effect of Public Debt In a Ramsey Model with Heterogeneous Agents," Discussion Paper Series DP2014-03, Research Institute for Economics & Business Administration, Kobe University.
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    26. Fiorito, Riccardo & Kollintzas, Tryphon, 2004. "Public goods, merit goods, and the relation between private and government consumption," European Economic Review, Elsevier, vol. 48(6), pages 1367-1398, December.
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    28. Hashmat Khan & Abeer Reza, 2013. "House Prices and Government Spending Shocks," Carleton Economic Papers 13-10, Carleton University, Department of Economics, revised 14 Sep 2016.
    29. Germaschewski, Yin & Wang, Shu-Ling, 2022. "Fiscal stabilization in high-debt economies without monetary independence," Journal of Macroeconomics, Elsevier, vol. 72(C).
    30. Yum K. Kwan, 2007. "The Direct Substitution between Government and Private Consumption in East Asia," NBER Chapters, in: Fiscal Policy and Management in East Asia, pages 45-58, National Bureau of Economic Research, Inc.
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    32. Pieroni, Luca, 2009. "Does defence expenditure affect private consumption? Evidence from the United States," Economic Modelling, Elsevier, vol. 26(6), pages 1300-1309, November.
    33. Masataka Eguchi & Yuhki Hosoya & Mai Yamada, 2023. "The Consumption Multiplier of Government Spending: The Role of Substitutability between Government Spending and Leisure," ISER Discussion Paper 1211, Institute of Social and Economic Research, Osaka University.
    34. Pozzi, Lorenzo, 2003. "The coefficient of relative risk aversion: a Monte Carlo study investigating small sample estimator problems," Economic Modelling, Elsevier, vol. 20(5), pages 923-940, September.
    35. Takeo Hori & Noritaka Maebayashi, 2013. "Indeterminacy and utility-generating government spending under balanced-budget fiscal policies," Discussion Papers in Economics and Business 13-13, Osaka University, Graduate School of Economics.
    36. Miguel Viegas & Ana Ribeiro, 2015. "Welfare and inequality effects of debt consolidation processes: the case of Spain, 1996–2007," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 6(4), pages 479-496, November.
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  21. 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. Juan Carlos Echeverry, 1996. "The rise and Perpetuation of a Moderate Inflation, Colombia 1970-1991," Borradores de Economia 050, Banco de la Republica de Colombia.
    2. 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.
    3. 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.
    4. 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.
    5. Gerald Stuber, 2001. "Implications of Uncertainty about Long-Run Inflation and the Price Level," Staff Working Papers 01-16, Bank of Canada.

  22. Shawn Ni & Xinghe Wang, 1995. "Balanced Government Budgets versus Deficit Finance in a Growth Economy," Canadian Journal of Economics, Canadian Economics Association, vol. 28(4b), pages 1120-1134, November.

    Cited by:

    1. 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.
    2. 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.

  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. 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.
    2. 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.
    3. Pierre-Richard Agénor, 2012. "Infrastructure, Public Education And Growth With Congestion Costs," Bulletin of Economic Research, Wiley Blackwell, vol. 64(4), pages 449-469, October.
    4. Mr. Dhaneshwar Ghura, 1997. "Private Investment and Endogenous Growth: Evidence From Cameroon," IMF Working Papers 1997/165, International Monetary Fund.
    5. 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.
    6. Eric W. Bond & Kathleen Trask & Ping Wang, 1996. "Factor Accumulation and Trade: Dynamic Comparative Advantage with Endogenous Physical and Human Capital," Vanderbilt University Department of Economics Working Papers 0031, Vanderbilt University Department of Economics, revised Aug 2000.
    7. 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).
    8. Oluwabunmi O. Adejumo & Simplice A. Asongu & Akintoye V. Adejumo, 2021. "Education Enrollment Rate vs Employment Rate: Implications for Sustainable Human Capital Development in Nigeria," Research Africa Network Working Papers 21/013, Research Africa Network (RAN).
    9. Roseline Karambakuwa & Ronney Ncwadi & Andrew Phiri, 2019. "The human capital-economic growth nexus in SSA countries: What can strengthen the relationship?," Working Papers 1905, Department of Economics, Nelson Mandela University, revised Jul 2019.
    10. 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.
    11. 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.
    12. Ben Fine, 1998. "Endogenous Growth Theory: A Critical Assessment," Working Papers 80, Department of Economics, SOAS University of London, UK.
    13. 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.
    14. 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.
    15. 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.
    16. Greiner, Alfred, 2008. "Human capital formation, public debt and economic growth," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 415-427, March.
    17. 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.
    18. Döring, Thomas & Schnellenbach, Jan, 2004. "What Do We Know About Geographical Knowledge Spillovers and Regional Growth? A Survey of the Literature," Research Notes 14, Deutsche Bank Research.
    19. 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.
    20. Yao, Yao, 2019. "Does higher education expansion enhance productivity?," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 169-194.
    21. 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.
    22. 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.
    23. 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.
    24. Chaitali Sinha, 2014. "Human Capital and Public Policy," South Asian Journal of Macroeconomics and Public Finance, , vol. 3(1), pages 79-125, June.
    25. 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.

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