| Covid-19 and emerging markets: An epidemiological multi-sector model for a small open economy with an application to turkey C Cakmaklı, S Demiralp, Ṣ Kalemli-Özcan, S Yesiltas, MA Yildirim National Bureau of Economic Research, 2020 | 137* | 2020 |
| The economic case for global vaccinations: An epidemiological model with international production networks C Çakmaklı, S Demiralp, Ṣ Kalemli-Özcan, S Yeşiltaş, MA Yıldırım National Bureau of Economic Research, 2021 | 106 | 2021 |
| Getting the most out of macroeconomic information for predicting excess stock returns C Çakmaklı, D van Dijk International Journal of Forecasting 32 (3), 650-668, 2016 | 66* | 2016 |
| Forecasting Inflation using Survey Expectations and Target Inflation: Evidence for Brazil and Turkey S Altuğ, C Çakmaklı International Journal of Forecasting, 2015 | 61 | 2015 |
| Posterior‐predictive evidence on US inflation using extended new Keynesian Phillips curve models with non‐filtered data N Baştürk, C Çakmakli, SP Ceyhan, HK Van Dijk Journal of Applied Econometrics 29 (7), 1164-1182, 2014 | 33* | 2014 |
| Modeling and estimation of synchronization in size-sorted portfolio returns C Çakmaklı, R Paap, D van Dijk Central Bank Review 22 (4), 129-140, 2022 | 32* | 2022 |
| On the rise of Bayesian econometrics after Cowles Foundation monographs 10, 14 N BaŞtürk, C Çakmaklı, SP Ceyhan, HK Dijk Œconomia. History, Methodology, Philosophy, 381-447, 2014 | 18* | 2014 |
| Ambiguous business cycles: A quantitative assessment S Altug, F Collard, C Cakmaklı, S Mukerji, H Özsöylev Review of Economic Dynamics 38, 220-237, 2020 | 15 | 2020 |
| A dynamic evaluation of central bank credibility C Çakmaklı, S Demiralp Working Paper, 2020 | 14 | 2020 |
| An evaluation of the Turkish economy during COVID-19 C Çakmaklı, S Demiralp, S Yeşiltaş, MA Yıldırım Centre for applied Turkey studies (CATS)| WP NR 1, 2021 | 11 | 2021 |
| How do indirect taxes on tobacco products affect inflation? C Çakmaklı, S Demiralp, S Yeşiltaş, MA Yıldırım Working Paper, 2018 | 11* | 2018 |
| Bridging the Covid-19 Data and the Epidemiological Model using Time-Varying Parameter SIRD Model C Cakmakli, Y Simsek arXiv preprint arXiv:2301.13692, 2023 | 10* | 2023 |
| Measuring and predicting heterogeneous recessions C Çakmaklı, R Paap, D van Dijk Journal of Economic Dynamics and Control 37 (11), 2195-2216, 2013 | 10 | 2013 |
| Modeling the density of US yield curve using Bayesian semiparametric dynamic Nelson-Siegel model C Çakmaklı Econometric Reviews 39 (1), 71-91, 2020 | 8* | 2020 |
| Modelling of Economic and Financial Conditions for Real‐Time Prediction of Recessions C Çakmakli, H Dem rcani, S Altug Oxford Bulletin of Economics and Statistics 83 (3), 663-685, 2021 | 5* | 2021 |
| Role of institutional, cultural and economic factors in the effectiveness of lockdown measures C Çakmaklı, S Demiralp, Ö Ergönül, S Yeşiltaş, MA Yıldırım International Journal of Infectious Diseases 116, 111-113, 2022 | 4 | 2022 |
| Using survey information for improving the density nowcasting of US GDP C Çakmakl i, H Demircan Journal of Business & Economic Statistics, 1-16, 2022 | 1 | 2022 |
| How do exchange rates respond to political rhetoric by populist leaders? C Çakmaklı, S Demiralp, GŞ Güneş Working Paper, 2021 | | 2021 |
| Economic value of modeling the joint distribution of returns and volatility: Leverage timing C Çakmaklı, V Öztürk Working Paper, 2021 | | 2021 |
| Using survey information for improving the density nowcasting of US GDP with a focus on predictive performance during Covid-19 pandemic C Çakmaklı, H Demircan Working Paper, 2020 | | 2020 |
Selva DemiralpKoç UniversityVerified email at ku.edu.tr
