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Ashish Rajbhandari

Personal Details

First Name:Ashish
Middle Name:
Last Name:Rajbhandari
Suffix:
RePEc Short-ID:pra536
Terminal Degree:2012 Department of Economics; University of California-Irvine (from RePEc Genealogy)

Affiliation

Department of Economics
University of California-Irvine

Irvine, California (United States)
http://www.economics.uci.edu/
RePEc:edi:deucius (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Rajbhandari,Ashish & Zhang,Fan, 2017. "Does energy efficiency promote economic growth? : evidence from a multi-country and multi-sector panel data set," Policy Research Working Paper Series 8077, The World Bank.
  2. Ashish Rajbhandari, 2015. "Estimating Markov-switching regression models in Stata," 2015 Stata Conference 24, Stata Users Group.
  3. Fabio Milani & Ashish Rajrhandari, 2012. "Observed Expectations, News Shocks, and the Business Cycle," Working Papers 121305, University of California-Irvine, Department of Economics.
  4. Fabio Milani & Ashish Rajbhandari, 2012. "Expectation Formation and Monetary DSGE Models: Beyond the Rational Expectations Paradigm," Working Papers 111212, University of California-Irvine, Department of Economics.

Articles

  1. Milani, Fabio & Rajbhandari, Ashish, 2020. "Observed expectations, news shocks, and the business cycle," Research in Economics, Elsevier, vol. 74(2), pages 95-118.
  2. Jonathan A. Cook & Ashish Rajbhandari, 2018. "heckroccurve: ROC curves for selected samples," Stata Journal, StataCorp LP, vol. 18(1), pages 174-183, March.
  3. Rajbhandari, Ashish & Zhang, Fan, 2018. "Does energy efficiency promote economic growth? Evidence from a multicountry and multisectoral panel dataset," Energy Economics, Elsevier, vol. 69(C), pages 128-139.

Software components

  1. Jonathan Cook & Ashish Rajbhandari, 2017. "HECKROC: Stata module to plot ROC curves," Statistical Software Components S458320, Boston College Department of Economics, revised 21 Oct 2017.

Citations

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

Working papers

  1. Rajbhandari,Ashish & Zhang,Fan, 2017. "Does energy efficiency promote economic growth? : evidence from a multi-country and multi-sector panel data set," Policy Research Working Paper Series 8077, The World Bank.

    Cited by:

    1. Jiang Du & Mengqin Zhao & Ming Zeng & Kezhen Han & Huaping Sun, 2020. "Spatial Effects of Urban Agglomeration on Energy Efficiency: Evidence from China," Sustainability, MDPI, Open Access Journal, vol. 12(8), pages 1-19, April.
    2. Hu, Bin & Li, Zhengtao & Zhang, Lin, 2019. "Long-run dynamics of sulphur dioxide emissions, economic growth and energy efficiency in China," MPRA Paper 94588, University Library of Munich, Germany.
    3. Díaz, Antonia & Rodríguez, Jesús & Puch, Luis A. & Marrero, Gustavo, 2019. "Economic Growth, Energy Intensity and the Energy Mix," UC3M Working papers. Economics 28461, Universidad Carlos III de Madrid. Departamento de Economía.
    4. Pan, Xiongfeng & Uddin, Md. Kamal & Han, Cuicui & Pan, Xianyou, 2019. "Dynamics of financial development, trade openness, technological innovation and energy intensity: Evidence from Bangladesh," Energy, Elsevier, vol. 171(C), pages 456-464.
    5. Jinjin Zhou & Zenglin Ma & Taoyuan Wei & Chang Li, 2021. "Threshold Effect of Economic Growth on Energy Intensity—Evidence from 21 Developed Countries," Energies, MDPI, Open Access Journal, vol. 14(14), pages 1-12, July.
    6. Magdalena Ziolo & Sandra Jednak & Gordana Savić & Dragana Kragulj, 2020. "Link between Energy Efficiency and Sustainable Economic and Financial Development in OECD Countries," Energies, MDPI, Open Access Journal, vol. 13(22), pages 1-28, November.
    7. Yongwei, Cheng & Dong, Mu & Huanyu, Ren & Tijun, Fan & Jianbang, Du, 2020. "Using a temporal input-output approach to analyze the ripple effect of China’s energy consumption," Energy, Elsevier, vol. 211(C).
    8. Akram, Rabia & Chen, Fuzhong & Khalid, Fahad & Huang, Guanhua & Irfan, Muhammad, 2021. "Heterogeneous effects of energy efficiency and renewable energy on economic growth of BRICS countries: A fixed effect panel quantile regression analysis," Energy, Elsevier, vol. 215(PB).
    9. Liu, Tie-Ying & Lee, Chien-Chiang, 2020. "Convergence of the world’s energy use," Resource and Energy Economics, Elsevier, vol. 62(C).
    10. You-How Go & Lin-Sea Lau & Kwang-Jing Yii & Wee-Yeap Lau, 2020. "Does energy efficiency affect economic growth? Evidence from aggregate and disaggregate levels," Energy & Environment, , vol. 31(6), pages 983-1006, September.
    11. Thapar, Sapan, 2020. "Energy consumption behavior: A data-based analysis of urban Indian households," Energy Policy, Elsevier, vol. 143(C).
    12. Jianqing Zhang & Song Wang & Peilei Yang & Fei Fan & Xueli Wang, 2020. "Analysis of Scale Factors on China’s Sustainable Development Efficiency Based on Three-Stage DEA and a Double Threshold Test," Sustainability, MDPI, Open Access Journal, vol. 12(6), pages 1-26, March.
    13. da Silva, Felipe L.C. & Cyrino Oliveira, Fernando L. & Souza, Reinaldo C., 2019. "A bottom-up bayesian extension for long term electricity consumption forecasting," Energy, Elsevier, vol. 167(C), pages 198-210.
    14. Yilmaz Bayar & Marius Dan Gavriletea, 2019. "Energy efficiency, renewable energy, economic growth: evidence from emerging market economies," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2221-2234, July.
    15. Walheer, Barnabé, 2018. "Labour productivity growth and energy in Europe: A production-frontier approach," Energy, Elsevier, vol. 152(C), pages 129-143.
    16. Jorge Flores-Chamba & Michelle López-Sánchez & Pablo Ponce & Patricia Guerrero-Riofrío & José Álvarez-García, 2019. "Economic and Spatial Determinants of Energy Consumption in the European Union," Energies, MDPI, Open Access Journal, vol. 12(21), pages 1-15, October.
    17. Cui, Qiang & Li, Ye, 2018. "Airline dynamic efficiency measures with a Dynamic RAM with unified natural & managerial disposability," Energy Economics, Elsevier, vol. 75(C), pages 534-546.
    18. Syeda Azra Batool & Humara Ahmad & Syed Muhammad Ahmad Hassan Gillani & Hamad Raza & Muhammad Siddique & Nohman Khan & Muhammad Imran Qureshi, 2021. "Investigating the Causal Linkage among Economic Growth, Energy Consumption, Urbanization and Environmental Quality in ASEAN-5 Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 319-327.

  2. Fabio Milani & Ashish Rajrhandari, 2012. "Observed Expectations, News Shocks, and the Business Cycle," Working Papers 121305, University of California-Irvine, Department of Economics.

    Cited by:

    1. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    2. Pratiti Chatterjee & Fabio Milani, 2020. "Perceived Uncertainty Shocks, Excess Optimism-Pessimism, and Learning in the Business Cycle," Working Papers 202101, University of California-Irvine, Department of Economics.
    3. Caterina Mendicino & Sandra Gomes, 2011. "Housing Market Dynamics: Any News?," Working Papers w201121, Banco de Portugal, Economics and Research Department.
    4. Nikolay Iskrev, 2018. "Are asset price data informative about news shocks? A DSGE perspective," Working Papers REM 2018/33, ISEG - Lisbon School of Economics and Management, REM, Universidade de Lisboa.
    5. Iskrev, Nikolay, 2019. "On the sources of information about latent variables in DSGE models," European Economic Review, Elsevier, vol. 119(C), pages 318-332.
    6. Greta Meggiorini & Fabio Milani, 2021. "Behavioral New Keynesian Models: Learning vs. Cognitive Discounting," CESifo Working Paper Series 9039, CESifo.
    7. Miyamoto, Wataru & Nguyen, Thuy Lan, 2020. "The expectational effects of news in business cycles: Evidence from forecast data," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 184-200.
    8. Kenza Benhima & Céline Poilly, 2017. "Do Misperceptions about Demand Matter? Theory and Evidence," Working Papers halshs-01518467, HAL.
    9. Fabio Milani, 2014. "Sentiment and the U.S. Business Cycle," 2014 Meeting Papers 883, Society for Economic Dynamics.
    10. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    11. Stefania D'Amico & Thomas B. King, 2015. "What Does Anticipated Monetary Policy Do?," Working Paper Series WP-2015-10, Federal Reserve Bank of Chicago.
    12. Yasuo Hirose & Takushi Kurozumi, 2017. "Changes in the Federal Reserve Communication Strategy: A Structural Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(1), pages 171-185, February.
    13. Yasuo Hirose & Takushi Kurozumi, 2012. "Identifying News Shocks with Forecast Data," CAMA Working Papers 2012-01, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    14. Dongho Song & Jenny Tang, 2018. "News-driven uncertainty fluctuations," Working Papers 18-3, Federal Reserve Bank of Boston.
    15. Kortelainen, Mika & Paloviita, Maritta & Viren, Matti, 2016. "How useful are measured expectations in estimation and simulation of a conventional small New Keynesian macro model?," Economic Modelling, Elsevier, vol. 52(PB), pages 540-550.
    16. Cole, Stephen J., 2020. "The influence of learning and price-level targeting on central bank forward guidance," Journal of Macroeconomics, Elsevier, vol. 65(C).
    17. Thuy Lan Nguyen & Wataru Miyamoto, 2014. "News shocks and Business cycles: Evidence from forecast data," 2014 Meeting Papers 259, Society for Economic Dynamics.

  3. Fabio Milani & Ashish Rajbhandari, 2012. "Expectation Formation and Monetary DSGE Models: Beyond the Rational Expectations Paradigm," Working Papers 111212, University of California-Irvine, Department of Economics.

    Cited by:

    1. Paul Beaudry & Franck Portier, 2014. "News Driven Business Cycles: Insights and Challenges," 2014 Meeting Papers 289, Society for Economic Dynamics.
    2. Sergey Ivashchenko & Rangan Gupta, 2017. "Near-Rational Expectations: How Far are Surveys from Rationality?," EERI Research Paper Series EERI RP 2017/04, Economics and Econometrics Research Institute (EERI), Brussels.
    3. Best Gabriela & Kapinos Pavel, 2016. "Monetary policy and news shocks: are Taylor rules forward-looking?," The B.E. Journal of Macroeconomics, De Gruyter, vol. 16(2), pages 335-360, June.
    4. Lance Kent, 2015. "Relaxing Rational Expectations," Working Papers 159, Department of Economics, College of William and Mary.
    5. Guimarães, Rodrigo, 2014. "Expectations, risk premia and information spanning in dynamic term structure model estimation," Bank of England working papers 489, Bank of England.
    6. Fabio Milani, 2014. "Sentiment and the U.S. Business Cycle," 2014 Meeting Papers 883, Society for Economic Dynamics.
    7. Fabio Milani, 2012. "The Modeling of Expectations in Empirical DSGE Models: a Survey," Working Papers 121301, University of California-Irvine, Department of Economics.
    8. Holtemöller, Oliver & Schult, Christoph, 2018. "Expectation formation, financial frictions, and forecasting performance of dynamic stochastic general equilibrium models," IWH Discussion Papers 15/2018, Halle Institute for Economic Research (IWH).
    9. Milani, Fabio & Rajbhandari, Ashish, 2020. "Observed expectations, news shocks, and the business cycle," Research in Economics, Elsevier, vol. 74(2), pages 95-118.
    10. Kortelainen, Mika & Paloviita, Maritta & Viren, Matti, 2016. "How useful are measured expectations in estimation and simulation of a conventional small New Keynesian macro model?," Economic Modelling, Elsevier, vol. 52(PB), pages 540-550.
    11. Ali, Syed Zahid & Anwar, Sajid, 2018. "Price puzzle in a small open New Keynesian model," The Quarterly Review of Economics and Finance, Elsevier, vol. 69(C), pages 29-42.

Articles

  1. Milani, Fabio & Rajbhandari, Ashish, 2020. "Observed expectations, news shocks, and the business cycle," Research in Economics, Elsevier, vol. 74(2), pages 95-118.
    See citations under working paper version above.
  2. Rajbhandari, Ashish & Zhang, Fan, 2018. "Does energy efficiency promote economic growth? Evidence from a multicountry and multisectoral panel dataset," Energy Economics, Elsevier, vol. 69(C), pages 128-139. See citations under working paper version above.Sorry, no citations of articles recorded.

Software components

    Sorry, no citations of software components recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-DGE: Dynamic General Equilibrium (2) 2012-06-25 2013-01-19. Author is listed
  2. NEP-MAC: Macroeconomics (2) 2012-06-25 2013-01-19. Author is listed
  3. NEP-FOR: Forecasting (1) 2012-06-25. Author is listed
  4. NEP-MON: Monetary Economics (1) 2012-06-25. Author is listed

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