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Cem Cakmakli
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Cited by
Year
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
1062021
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
612015
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
152020
A dynamic evaluation of central bank credibility
C Çakmaklı, S Demiralp
Working Paper, 2020
142020
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
112021
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
102013
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
42022
Using survey information for improving the density nowcasting of US GDP
C Çakmakl i, H Demircan
Journal of Business & Economic Statistics, 1-16, 2022
12022
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
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Articles 1–20