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David NETO

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First Name:David
Middle Name:
Last Name:Neto
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RePEc Short-ID:pne324
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Affiliation

United Nations Conference on Trade and Development (UNCTAD)
United Nations

Genève, Switzerland
http://www.unctad.org/
RePEc:edi:unctach (more details at EDIRC)

Research output

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Jump to: Articles

Articles

  1. Neto, David, 2016. "Extracting volatility signal using maximum a posteriori estimation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 788-794.
  2. Neto, David, 2015. "Revisiting the Fisher parity consistency for the Swiss economy around the modification of the National Bank׳s monetary policy strategy," International Economics, Elsevier, vol. 144(C), pages 83-94.
  3. David Neto, 2015. "Testing for and dating structural break in smooth time-varying cointegration parameters, with an application to retail gasoline price and crude oil price long-run relationship," Empirical Economics, Springer, vol. 49(3), pages 909-928, November.
  4. Neto, David, 2014. "The FMLS-based CUSUM statistic for testing the null of smooth time-varying cointegration in the presence of a structural break," Economics Letters, Elsevier, vol. 125(2), pages 208-211.
  5. Alex Diamantopoulos & A. Finckh & T. Huizinga & D. Sungher & L. Sawyer & D. Neto & F. Dejonckheere, 2014. "Tocilizumab in the Treatment of Rheumatoid Arthritis: A Cost-Effectiveness Analysis in the UK," PharmacoEconomics, Springer, vol. 32(8), pages 775-787, August.
  6. David Neto & Sylvain Sardy, 2012. "Moments structure of ℓ 1 -stochastic volatility models," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(6), pages 1947-1952, October.
  7. Jaya Krishnakumar & David Neto, 2012. "Testing Uncovered Interest Rate Parity and Term Structure Using a Three‐regime Threshold Unit Root VECM: An Application to the Swiss ‘Isle’ of Interest Rates," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 180-202, April.
  8. Neto, David, 2012. "Testing and estimating time-varying elasticities of Swiss gasoline demand," Energy Economics, Elsevier, vol. 34(6), pages 1755-1762.
  9. Jaya Krishnakumar & David Neto, 2011. "Testing the ‘Inaction Corridor’ in a Three‐Regime Threshold Error Correction Model with an Application to a Buffer‐Stock Model for US Money Demand," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 40(1-2), pages 29-43, February.
  10. David Neto, 2006. "Dépendance non-monotone : Une application à la relation rendement-volume," Annals of Economics and Statistics, GENES, issue 82, pages 187-216.
  11. Avouyi-Dovi, S. & Neto, D., 2004. "Equity market interdependence: the relationship between European and US stock markets," Financial Stability Review, Banque de France, issue 4, pages 108-126, June.

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.

Articles

  1. Neto, David, 2014. "The FMLS-based CUSUM statistic for testing the null of smooth time-varying cointegration in the presence of a structural break," Economics Letters, Elsevier, vol. 125(2), pages 208-211.

    Cited by:

    1. Martin Falk & Xiang Lin, 2018. "Income elasticity of overnight stays over seven decades," Tourism Economics, , vol. 24(8), pages 1015-1028, December.

  2. Alex Diamantopoulos & A. Finckh & T. Huizinga & D. Sungher & L. Sawyer & D. Neto & F. Dejonckheere, 2014. "Tocilizumab in the Treatment of Rheumatoid Arthritis: A Cost-Effectiveness Analysis in the UK," PharmacoEconomics, Springer, vol. 32(8), pages 775-787, August.

    Cited by:

    1. Salah Ghabri & Laurent Lam & François Bocquet & Hans-Martin Spath, 2020. "Systematic Literature Review of Economic Evaluations of Biological Treatment Sequences for Patients with Moderate to Severe Rheumatoid Arthritis Previously Treated with Disease-Modifying Anti-rheumati," PharmacoEconomics, Springer, vol. 38(5), pages 459-471, May.
    2. Devin Incerti & Jeffrey R. Curtis & Jason Shafrin & Darius N. Lakdawalla & Jeroen P. Jansen, 2019. "A Flexible Open-Source Decision Model for Value Assessment of Biologic Treatment for Rheumatoid Arthritis," PharmacoEconomics, Springer, vol. 37(6), pages 829-843, June.

  3. Jaya Krishnakumar & David Neto, 2012. "Testing Uncovered Interest Rate Parity and Term Structure Using a Three‐regime Threshold Unit Root VECM: An Application to the Swiss ‘Isle’ of Interest Rates," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 180-202, April.

    Cited by:

    1. Peter Sephton & Janelle Mann, 2013. "Threshold Cointegration: Model Selection with an Application," Journal of Economics and Econometrics, Economics and Econometrics Society, vol. 56(2), pages 54-77.
    2. Kirstin Hubrich & Timo Teräsvirta, 2013. "Thresholds and Smooth Transitions in Vector Autoregressive Models," CREATES Research Papers 2013-18, Department of Economics and Business Economics, Aarhus University.
    3. David Neto, 2015. "Testing for and dating structural break in smooth time-varying cointegration parameters, with an application to retail gasoline price and crude oil price long-run relationship," Empirical Economics, Springer, vol. 49(3), pages 909-928, November.
    4. Costantini, Mauro & Crespo Cuaresma, Jesus & Hlouskova, Jaroslava, 2014. "Can Macroeconomists Get Rich Forecasting Exchange Rates?," Department of Economics Working Paper Series 176, WU Vienna University of Economics and Business.
    5. Feld, Lars P. & Köhler, Ekkehard A., 2015. "Is Switzerland an interest rate island after all? Time series and non-linear switching regime evidence," Freiburg Discussion Papers on Constitutional Economics 15/08, Walter Eucken Institut e.V..
    6. Neto, David, 2021. "Adaptive LASSO for selecting Fourier coefficients in a functional smooth time-varying cointegrating regression: An application to the Feldstein–Horioka puzzle," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 179(C), pages 253-264.
    7. Georgoutsos, Dimitris A. & Kouretas, Georgios P., 2016. "Interest parity, cointegration, and the term structure: Testing in an integrated framework," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 281-294.

  4. Neto, David, 2012. "Testing and estimating time-varying elasticities of Swiss gasoline demand," Energy Economics, Elsevier, vol. 34(6), pages 1755-1762.

    Cited by:

    1. Liddle, Brantley & Hasanov, Fakhri J. & Parker, Steven, 2022. "Your mileage may vary: Have road-fuel demand elasticities changed over time in middle-income countries?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 38-53.
    2. Liddle, Brantley & Parker, Steven, 2022. "One more for the road: Reconsidering whether OECD gasoline income and price elasticities have changed over time," Energy Economics, Elsevier, vol. 114(C).
    3. Scott, K. Rebecca, 2013. "Demand and Price Uncertainty: Rational Habits in International Gasoline Demand," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt25q4w08n, Department of Agricultural & Resource Economics, UC Berkeley.
    4. Eleyan, Mohammed I.Abu & Çatık, Abdurrahman Nazif & Balcılar, Mehmet & Ballı, Esra, 2021. "Are long-run income and price elasticities of oil demand time-varying? New evidence from BRICS countries," Energy, Elsevier, vol. 229(C).
    5. Salisu, Afees A. & Ayinde, Taofeek O., 2016. "Modeling energy demand: Some emerging issues," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1470-1480.
    6. Jorge Barrientos & Esteban Velilla & David Tobón-Orozco & Fernando Villada & Jesús M. López-Lezama, 2018. "On the estimation of the price elasticity of electricity demand in the manufacturing industry of Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 88, pages 155-182, Enero - J.
    7. Adewuyi, Adeolu O., 2016. "Determinants of import demand for non-renewable energy (petroleum) products: Empirical evidence from Nigeria," Energy Policy, Elsevier, vol. 95(C), pages 73-93.
    8. Tan, Xiujie & Wang, Banban & Wei, Jie & Taghizadeh-Hesary, Farhad, 2023. "The role of carbon pricing in achieving energy transition in the Post-COP26 era: Evidence from China's industrial energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    9. Wang, Banban & Wei, Jie & Tan, Xiujie & Su, Bin, 2021. "The sectorally heterogeneous and time-varying price elasticities of energy demand in China," Energy Economics, Elsevier, vol. 102(C).
    10. David Neto, 2015. "Testing for and dating structural break in smooth time-varying cointegration parameters, with an application to retail gasoline price and crude oil price long-run relationship," Empirical Economics, Springer, vol. 49(3), pages 909-928, November.
    11. Jeyhun Mikayilov & Fred Joutz & Fakhri Hasanov, 2019. "Gasoline Demand in Saudi Arabia: Are the Price and Income Elasticities Constant?," Discussion Papers ks--2019-dp81, King Abdullah Petroleum Studies and Research Center.
    12. Jeyhun I. Mikayilov & Shahriyar Mukhtarov & Jeyhun Mammadov, 2020. "Gasoline Demand Elasticities at the Backdrop of Lower Oil Prices: Fuel-Subsidizing Country Case," Energies, MDPI, vol. 13(24), pages 1-18, December.
    13. Liddle, Brantley, 2023. "Is timing everything? Assessing the evidence on whether energy/electricity demand elasticities are time-varying," Energy Economics, Elsevier, vol. 124(C).
    14. Deepankar Sinha & Virupaxi Bagodi & Debasri Dey, 2020. "The Supply Chain Disruption Framework Post COVID-19: A System Dynamics Model," Foreign Trade Review, , vol. 55(4), pages 511-534, November.
    15. Liddle, Brantley & Smyth, Russell & Zhang, Xibin, 2020. "Time-varying income and price elasticities for energy demand: Evidence from a middle-income panel," Energy Economics, Elsevier, vol. 86(C).
    16. Neto, David, 2014. "The FMLS-based CUSUM statistic for testing the null of smooth time-varying cointegration in the presence of a structural break," Economics Letters, Elsevier, vol. 125(2), pages 208-211.
    17. Martin Falk & Xiang Lin, 2018. "Income elasticity of overnight stays over seven decades," Tourism Economics, , vol. 24(8), pages 1015-1028, December.

  5. Jaya Krishnakumar & David Neto, 2011. "Testing the ‘Inaction Corridor’ in a Three‐Regime Threshold Error Correction Model with an Application to a Buffer‐Stock Model for US Money Demand," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 40(1-2), pages 29-43, February.

    Cited by:

    1. David Neto, 2015. "Testing for and dating structural break in smooth time-varying cointegration parameters, with an application to retail gasoline price and crude oil price long-run relationship," Empirical Economics, Springer, vol. 49(3), pages 909-928, November.

  6. Avouyi-Dovi, S. & Neto, D., 2004. "Equity market interdependence: the relationship between European and US stock markets," Financial Stability Review, Banque de France, issue 4, pages 108-126, June.

    Cited by:

    1. Roland Gillet & Amos Sodjahin & Claudia Champagne & Frank Coggins, 2017. "Leading or lagging indicators of risk? The informational content of extra-financial performance scores," Post-Print hal-03690817, HAL.
    2. Georges Prat & David Le Bris, 2019. "Equity Risk Premium and Time Horizon: what do the French secular data say ?," Working Papers hal-04141877, HAL.
    3. Georges Prat & David Le Bris, 2019. "Equity Risk Premium and Time Horizon: what do the French secular data say ?," EconomiX Working Papers 2019-8, University of Paris Nanterre, EconomiX.
    4. Morten Balling & Ernest Gnan, 2013. "The development of financial markets and financial theory: 50 years of interaction," SUERF 50th Anniversary Volume Chapters, in: Morten Balling & Ernest Gnan (ed.), 50 Years of Money and Finance: Lessons and Challenges, chapter 5, pages 157-194, SUERF - The European Money and Finance Forum.
    5. Vanshu Mahajan & Sunil Thakan & Aashish Malik, 2022. "Modeling and Forecasting the Volatility of NIFTY 50 Using GARCH and RNN Models," Economies, MDPI, vol. 10(5), pages 1-20, April.
    6. Clerc, L., 2007. "Understanding Asset Prices: Determinants and Policy Implications," Working papers 168, Banque de France.

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