Azhar Iqbal

Personal Details

First Name:	Azhar
Middle Name:
Last Name:	Iqbal
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RePEc Short-ID:	piq3
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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. Azhar Iqbal & Sam Bullard & John Silvia, 2019. "Are yield-curve/monetary cycles’ approaches enough to predict recessions?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 54(1), pages 61-68, January.

   Cited by:

   1. Kajal Lahiri & Cheng Yang, 2022. "ROC approach to forecasting recessions using daily yield spreads," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 57(4), pages 191-203, October.
   2. Azhar Iqbal & Sam Bullard & Nicole Cervi, 2023. "Predicting recessions, depth of recessions and monetary policy pivots: a new approach," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 58(4), pages 224-236, October.

2. Sam Bullard & Azhar Iqbal & John Silvia, 2016. "A New Framework to Estimate the Near-Term Path of the Fed Funds Rate," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 51(4), pages 239-247, October.

   Cited by:

   1. Azhar Iqbal & Sam Bullard & John Silvia, 2019. "Are yield-curve/monetary cycles’ approaches enough to predict recessions?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 54(1), pages 61-68, January.

3. Azhar Iqbal & John Silvia, 2016. "Is Predicting Recessions Enough?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 51(4), pages 248-259, October.

   Cited by:

   1. Mark Vitner & Azhar Iqbal, 2019. "What is going right in manufacturing?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 54(2), pages 114-121, April.
   2. Gjerde, Kathy Paulson & Prescott, Peter & Rice, Jennifer, 2019. "The Impact of State Fiscal Policy on States' Resilience Entering the Great Recession," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 49(1), January.
   3. Prescott, Peter & Gjerde, Kathy Paulson, 2022. "The Impact of State Fiscal Policy on States’ Resilience During the Great Recession," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 52(1), January.

4. John Silvia & Azhar Iqbal, 2015. "An Ordered Probit Approach to Predicting the Probability of Inflation/Deflation," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 50(1), pages 12-19, January.

   Cited by:

   1. Sam Bullard & Azhar Iqbal & John Silvia, 2016. "A New Framework to Estimate the Near-Term Path of the Fed Funds Rate," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 51(4), pages 239-247, October.
   2. Azhar Iqbal & John Silvia, 2016. "Is Predicting Recessions Enough?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 51(4), pages 248-259, October.
   3. Azhar Iqbal & John E. Silvia, 2016. "Does Deflation Threaten the Global Economy?," Global Economy Journal (GEJ), World Scientific Publishing Co. Pte. Ltd., vol. 16(2), pages 189-212, June.
      • Iqbal Azhar & Silvia John E., 2016. "Does Deflation Threaten the Global Economy?," Global Economy Journal, De Gruyter, vol. 16(2), pages 189-212.

5. John Silvia & Azhar Iqbal, 2014. "Is the Fed Funds Rate Still Effective?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 49(4), pages 253-262, October.

   Cited by:

   1. Koch, Jascha-Alexander & Islam, Mohammad Saiful, 2024. "Impact of higher federal funds rates on bank risk during higher inflation in the U.S," Finance Research Letters, Elsevier, vol. 60(C).

6. Azhar Iqbal & Mark Vitner, 2013. "Did Monetary Policy Fuel the Housing Bubble?," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 29(Fall 2013), pages 1-24.

   Cited by:

   1. Azhar Iqbal & Mark Vitner, 2017. "Quantifying the housing recovery: which MSAs are experiencing bubbles?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 52(4), pages 250-259, October.
   2. Hsiao-Jung Teng & Chin-Oh Chang & Ming-Chi Chen, 2017. "Housing bubble contagion from city centre to suburbs," Urban Studies, Urban Studies Journal Limited, vol. 54(6), pages 1463-1481, May.
   3. Adrián O. Ravier & Nicolás Cachanosky, 2015. "Fiscal Policy in Capital-Based Macroeconomics with Idle Resources," Journal of Private Enterprise, The Association of Private Enterprise Education, vol. 30(Winter 20), pages 81-95.
   4. Edward Stringham, 2014. "It’s not me, it’s you: the functioning of Wall Street during the 2008 economic downturn," Public Choice, Springer, vol. 161(3), pages 269-288, December.
   5. Mahua Barari & Srikanta Kundu, 2019. "The Role of the Federal Reserve in the U.S. Housing Crisis: A VAR Analysis with Endogenous Structural Breaks," JRFM, MDPI, vol. 12(3), pages 1-20, July.

7. Mark Vitner & Azhar Iqbal, 2013. "Is Productivity Growth Too Strong For Our Own Good?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 48(1), pages 29-41, February.

   Cited by:

   1. Mark Vitner & Azhar Iqbal, 2019. "What is going right in manufacturing?," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 54(2), pages 114-121, April.

8. John Silvia & Azhar Iqbal, 2012. "A Comparison of Consensus and BVAR Macroeconomic Forecasts," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 47(4), pages 250-261, November.

   Cited by:

   1. Cortazar, Gonzalo & Ortega, Hector & Valencia, Consuelo, 2021. "How good are analyst forecasts of oil prices?," Energy Economics, Elsevier, vol. 102(C).

9. Zhihong Chen & Azhar Iqbal & Huiwen Lai, 2011. "Forecasting the probability of US recessions: a Probit and dynamic factor modelling approach," Canadian Journal of Economics, Canadian Economics Association, vol. 44(2), pages 651-672, May.
   • Zhihong Chen & Azhar Iqbal & Huiwen Lai, 2011. "Forecasting the probability of US recessions: a Probit and dynamic factor modelling approach," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 44(2), pages 651-672, May.

   Cited by:

   1. Barış Soybilgen, 2020. "Identifying US business cycle regimes using dynamic factors and neural network models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(5), pages 827-840, August.
   2. Donato Ceci & Andrea Silvestrini, 2023. "Nowcasting the state of the Italian economy: The role of financial markets," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(7), pages 1569-1593, November.
      • Donato Ceci & Andrea Silvestrini, 2022. "Nowcasting the state of the Italian economy: the role of financial markets," Temi di discussione (Economic working papers) 1362, Bank of Italy, Economic Research and International Relations Area.
   3. Fornaro, Paolo, 2015. "Forecasting U.S. Recessions with a Large Set of Predictors," MPRA Paper 62973, University Library of Munich, Germany.
   4. Marius M. Mihai, 2020. "Do credit booms predict US recessions?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 887-910, September.
   5. Davig, Troy & Hall, Aaron Smalter, 2019. "Recession forecasting using Bayesian classification," International Journal of Forecasting, Elsevier, vol. 35(3), pages 848-867.
   6. Pönkä, Harri & Stenborg, Markku, 2018. "Forecasting the state of the Finnish business cycle," MPRA Paper 91226, University Library of Munich, Germany.
      • Harri Pönkä & Markku Stenborg, 2020. "Forecasting the state of the Finnish business cycle," Finnish Economic Papers, Finnish Economic Association, vol. 29(1), pages 81-99, Spring.
   7. Nissilä, Wilma, 2020. "Probit based time series models in recession forecasting – A survey with an empirical illustration for Finland," BoF Economics Review 7/2020, Bank of Finland.
   8. Massimo Ferrari Minesso & Laura Lebastard & Helena Mezo, 2023. "Text-Based Recession Probabilities," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 71(2), pages 415-438, June.
      • Le Mezo, Helena & Ferrari Minesso, Massimo, 2021. "Text-based recession probabilities," Working Paper Series 2516, European Central Bank.
   9. Bellégo, C. & Ferrara, L., 2012. "Macro-financial linkages and business cycles: A factor-augmented probit approach," Economic Modelling, Elsevier, vol. 29(5), pages 1793-1797.
   10. Harri Ponka, 2017. "The Role of Credit in Predicting US Recessions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 36(5), pages 469-482, August.
       • Harri Pönkä, 2015. "The Role of Credit in Predicting US Recessions," CREATES Research Papers 2015-48, Department of Economics and Business Economics, Aarhus University.
   11. Kevin Moran & Simplice Aime Nono, 2016. "Using Confidence Data to Forecast the Canadian Business Cycle," Cahiers de recherche 1606, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
   12. Alonso-Alvarez, Irma & Molina, Luis, 2023. "How to foresee crises? A new synthetic index of vulnerabilities for emerging economies," Economic Modelling, Elsevier, vol. 125(C).
   13. Heikki Kauppi, 2019. "Recession Prediction with OptimalUse of Leading Indicators," Discussion Papers 125, Aboa Centre for Economics.
   14. Soybilgen, Baris, 2018. "Identifying US business cycle regimes using dynamic factors and neural network models," MPRA Paper 94715, University Library of Munich, Germany.
   15. Nataša Erjavec & Petar Soriæ & Mirjana Èižmešija, 2016. "Predicting the probability of recession in Croatia: Is economic sentiment the missing link?," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 34(2), pages 555-579.
   16. Baris Soybilgen, 2017. "Identifying Us Business Cycle Regimes Using Factor Augmented Neural Network Models," Working Papers 1703, The Center for Financial Studies (CEFIS), Istanbul Bilgi University.
   17. Kevin Moran & Simplice Aimé Nono & Imad Rherrad, 2018. "Forecasting with Many Predictors: How Useful are National and International Confidence Data?," Cahiers de recherche 1814, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
   18. Proaño, Christian R. & Theobald, Thomas, 2014. "Predicting recessions with a composite real-time dynamic probit model," International Journal of Forecasting, Elsevier, vol. 30(4), pages 898-917.
   19. Troy Davig & Aaron Smalter Hall, 2016. "Recession forecasting using Bayesian classification," Research Working Paper RWP 16-6, Federal Reserve Bank of Kansas City.
   20. Yang Aijun & Xiang Ju & Yang Hongqiang & Lin Jinguan, 2018. "Sparse Bayesian Variable Selection in Probit Model for Forecasting U.S. Recessions Using a Large Set of Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 51(4), pages 1123-1138, April.
   21. Huiwen Lai & Eric C. Y. Ng, 2020. "On business cycle forecasting," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-26, December.
   22. Irma Alonso & Luis Molina, 2019. "The SHERLOC: an EWS-based index of vulnerability for emerging economies," Working Papers 1946, Banco de España.

10. Muhammad Shahbaz & Azhar Iqbal & Muhammad Sabihuddin Butt, 2011. "Testing causality between human development and economic growth: a panel data approach," International Journal of Education Economics and Development, Inderscience Enterprises Ltd, vol. 2(1), pages 90-102.

    Cited by:

    1. Susan Randolph & Elizabeth Kaletski, 2018. "Securing Economic and Social Rights: Obstacle or Handmaiden to Growth?," Economic Rights Working Papers 26, University of Connecticut, Human Rights Institute.
    2. Gunay Ozcan & Cigdem Karter, 2020. "The Relationship of Economic Growth And Terrorism with the Human Development Index: A Causality Analysis on MENA Countries," Technium Social Sciences Journal, Technium Science, vol. 11(1), pages 226-234, September.
    3. Jalil, Abdul & Idrees, Muhammad, 2013. "Modeling the impact of education on the economic growth: Evidence from aggregated and disaggregated time series data of Pakistan," Economic Modelling, Elsevier, vol. 31(C), pages 383-388.

11. Silvia John E & Iqbal Azhar, 2009. "Thinking Outside the Cycle," Global Economy Journal, De Gruyter, vol. 9(3), pages 1-12, September.

    Cited by:

    1. Schularick Moritz, 2010. "Touching the Brakes after the Crash: A Historical View of Reserve Accumulation and Financial Integration," Global Economy Journal, De Gruyter, vol. 9(4), pages 1-13, January.

12. Shaista Alam & Muhammad Sabihuddin Butt & Azhar Iqbal, 2001. "The Long-run Relationship between Real Exchange Rate and Real Interest Rate in Asian Countries: An Application of Panel Cointegration," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 40(4), pages 577-602.

    Cited by:

    1. Syed Adnan Haider Ali Shah Bukhari & Muhammad Shahbaz Akmal & Mohammad Sabihuddin Butt, 2006. "Impact of Exchange Market Forces on Pak-Rupee Exchange Rates during Globalization Period: An Empirical Analysis," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 11(1), pages 121-139, Jan-Jun.
    2. M. Ali Kemal & Rana Murad Haider, 2004. "Exchange Rate Behaviour after Recent Float: The Experience of Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 43(4), pages 829-852.

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