Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ C: Mathematical and Quantitative Methods
/ / C3: Multiple or Simultaneous Equation Models; Multiple Variables
/ / / C32: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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This JEL code is mentioned in the following RePEc Biblio entries:

1. Estimated DSGE Models
2. Forecasting with DSGE Models
3. Nowcasting
4. Sign Restrictions
5. Bayesian Vector autoregressions (BVARs)
6. Dynamic Factor Models

2020

• Broto, Carmen & Lamas, Matías, 2020, "Is market liquidity less resilient after the financial crisis? Evidence for US Treasuries," Economic Modelling, Elsevier, volume 93, issue C, pages 217-229, DOI: 10.1016/j.econmod.2020.08.001.
• Calmès, Christian & Théoret, Raymond, 2020, "Bank fee-based shocks and the U.S. business cycle," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2018.09.002.
• Lee, Chia-Hao & Chou, Pei-I, 2020, "Structural breaks in the correlations between Asian and US stock markets," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2019.101087.
• Gil-Alana, Luis A. & Carcel, Hector, 2020, "A fractional cointegration var analysis of exchange rate dynamics," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2018.09.006.
• Kirikkaleli, Dervis, 2020, "The effect of domestic and foreign risks on an emerging stock market: A time series analysis," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2018.11.005.
• Chang, Kuang-Liang, 2020, "An investigation on mixed housing-cycle structures and asymmetric tail dependences," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2018.10.012.
• Kim, Jong-Min & Tabacu, Lucia & Jung, Hojin, 2020, "A quantile-copula approach to dependence between financial assets," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2019.101066.
• Wu, Xinyu & Hou, Xinmeng, 2020, "Forecasting volatility with component conditional autoregressive range model," The North American Journal of Economics and Finance, Elsevier, volume 51, issue C, DOI: 10.1016/j.najef.2019.101078.
• Dey, Shubhasis & Sampath, Aravind, 2020, "Returns, volatility and spillover – A paradigm shift in India?," The North American Journal of Economics and Finance, Elsevier, volume 52, issue C, DOI: 10.1016/j.najef.2019.101110.
• Guevara, Carlos & Rodríguez, Gabriel, 2020, "The role of credit supply shocks in pacific alliance countries: A TVP-VAR-SV approach," The North American Journal of Economics and Finance, Elsevier, volume 52, issue C, DOI: 10.1016/j.najef.2019.101140.
• Dai, Zhifeng & Zhou, Huiting & Wen, Fenghua & He, Shaoyi, 2020, "Efficient predictability of stock return volatility: The role of stock market implied volatility," The North American Journal of Economics and Finance, Elsevier, volume 52, issue C, DOI: 10.1016/j.najef.2020.101174.
• Tang, Zhenpeng & Ran, Meng & Zhao, Yongxiang, 2020, "Stock trading dynamics and pedestrian counterflows: Analogies and differences," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2019.101015.
• Wang, Peiwan & Zong, Lu, 2020, "Contagion effects and risk transmission channels in the housing, stock, interest rate and currency markets: An Empirical Study in China and the U.S," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2019.101113.
• Balcilar, Mehmet & Ozdemir, Zeynel Abidin & Ozdemir, Huseyin & Wohar, Mark E., 2020, "Spillover effects in oil-related CDS markets during and after the sub-prime crisis," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2020.101249.
• Horváth, Lajos & Li, Bo & Li, Hemei & Liu, Zhenya, 2020, "Time-varying beta in functional factor models: Evidence from China," The North American Journal of Economics and Finance, Elsevier, volume 54, issue C, DOI: 10.1016/j.najef.2020.101283.
• Nonejad, Nima, 2020, "Crude oil price volatility and short-term predictability of the real U.S. GDP growth rate," Economics Letters, Elsevier, volume 186, issue C, DOI: 10.1016/j.econlet.2019.108527.
• Gupta, Rangan & Sun, Xiaojin, 2020, "Forecasting economic policy uncertainty of BRIC countries using Bayesian VARs," Economics Letters, Elsevier, volume 186, issue C, DOI: 10.1016/j.econlet.2019.108677.
• Campos, Luciano & Casas, Agustín, 2020, "Populism and income redistribution," Economics Letters, Elsevier, volume 186, issue C, DOI: 10.1016/j.econlet.2019.108773.
• Karlsson, Sune & Österholm, Pär, 2020, "The relation between the corporate bond-yield spread and the real economy: Stable or time-varying?," Economics Letters, Elsevier, volume 186, issue C, DOI: 10.1016/j.econlet.2019.108883.
• Colombo, Valentina & Paccagnini, Alessia, 2020, "Does the credit supply shock have asymmetric effects on macroeconomic variables?," Economics Letters, Elsevier, volume 188, issue C, DOI: 10.1016/j.econlet.2020.108958.
• Milunovich, George, 2020, "Mapping out network connections between residential property markets," Economics Letters, Elsevier, volume 189, issue C, DOI: 10.1016/j.econlet.2020.109006.
• Cretarola, Alessandra & Figà-Talamanca, Gianna, 2020, "Bubble regime identification in an attention-based model for Bitcoin and Ethereum price dynamics," Economics Letters, Elsevier, volume 191, issue C, DOI: 10.1016/j.econlet.2019.108831.
• Damianov, Damian S. & Elsayed, Ahmed H., 2020, "Does Bitcoin add value to global industry portfolios?," Economics Letters, Elsevier, volume 191, issue C, DOI: 10.1016/j.econlet.2019.108935.
• Gefang, Deborah & Koop, Gary & Poon, Aubrey, 2020, "Computationally efficient inference in large Bayesian mixed frequency VARs," Economics Letters, Elsevier, volume 191, issue C, DOI: 10.1016/j.econlet.2020.109120.
• Kurita, Takamitsu, 2020, "Normalising cointegrating relationships subject to long-run exclusion," Economics Letters, Elsevier, volume 192, issue C, DOI: 10.1016/j.econlet.2020.109161.
• Bakas, Dimitrios & Triantafyllou, Athanasios, 2020, "Commodity price volatility and the economic uncertainty of pandemics," Economics Letters, Elsevier, volume 193, issue C, DOI: 10.1016/j.econlet.2020.109283.
• Caggiano, Giovanni & Castelnuovo, Efrem & Kima, Richard, 2020, "The global effects of Covid-19-induced uncertainty," Economics Letters, Elsevier, volume 194, issue C, DOI: 10.1016/j.econlet.2020.109392.
• de Castro, Luciano & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2020, "Quantile selection in non-linear GMM quantile models," Economics Letters, Elsevier, volume 195, issue C, DOI: 10.1016/j.econlet.2020.109402.
• Lütkepohl, Helmut, 2020, "Structural vector autoregressive models with more shocks than variables identified via heteroskedasticity," Economics Letters, Elsevier, volume 195, issue C, DOI: 10.1016/j.econlet.2020.109458.
• Magnus, Jan R. & Sentana, Enrique, 2020, "Zero-diagonality as a linear structure," Economics Letters, Elsevier, volume 196, issue C, DOI: 10.1016/j.econlet.2020.109513.
• Chang, Seong Yeon, 2020, "A new test of asset return predictability with an unstable predictor," Economics Letters, Elsevier, volume 196, issue C, DOI: 10.1016/j.econlet.2020.109529.
• Cheng, Kai & Yang, Yang, 2020, "Revisiting the effects of monetary policy shocks: Evidence from SVAR with narrative sign restrictions," Economics Letters, Elsevier, volume 196, issue C, DOI: 10.1016/j.econlet.2020.109598.
• Karlsson, Sune & Österholm, Pär, 2020, "A hybrid time-varying parameter Bayesian VAR analysis of Okun’s law in the United States," Economics Letters, Elsevier, volume 197, issue C, DOI: 10.1016/j.econlet.2020.109622.
• Ruge-Murcia, Francisco, 2020, "Estimating nonlinear dynamic equilibrium models by matching impulse responses," Economics Letters, Elsevier, volume 197, issue C, DOI: 10.1016/j.econlet.2020.109624.
• Kim, Dukpa & Oka, Tatsushi & Estrada, Francisco & Perron, Pierre, 2020, "Inference related to common breaks in a multivariate system with joined segmented trends with applications to global and hemispheric temperatures," Journal of Econometrics, Elsevier, volume 214, issue 1, pages 130-152, DOI: 10.1016/j.jeconom.2019.05.008.
• Gadea Rivas, María Dolores & Gonzalo, Jesús, 2020, "Trends in distributional characteristics: Existence of global warming," Journal of Econometrics, Elsevier, volume 214, issue 1, pages 153-174, DOI: 10.1016/j.jeconom.2019.05.009.
• Bruns, Stephan B. & Csereklyei, Zsuzsanna & Stern, David I., 2020, "A multicointegration model of global climate change," Journal of Econometrics, Elsevier, volume 214, issue 1, pages 175-197, DOI: 10.1016/j.jeconom.2019.05.010.
• Holt, Matthew T. & Teräsvirta, Timo, 2020, "Global hemispheric temperatures and co-shifting: A vector shifting-mean autoregressive analysis," Journal of Econometrics, Elsevier, volume 214, issue 1, pages 198-215, DOI: 10.1016/j.jeconom.2019.05.011.
• Wagner, Martin & Grabarczyk, Peter & Hong, Seung Hyun, 2020, "Fully modified OLS estimation and inference for seemingly unrelated cointegrating polynomial regressions and the environmental Kuznets curve for carbon dioxide emissions," Journal of Econometrics, Elsevier, volume 214, issue 1, pages 216-255, DOI: 10.1016/j.jeconom.2019.05.012.
• Pretis, Felix, 2020, "Econometric modelling of climate systems: The equivalence of energy balance models and cointegrated vector autoregressions," Journal of Econometrics, Elsevier, volume 214, issue 1, pages 256-273, DOI: 10.1016/j.jeconom.2019.05.013.
• Li, Mengheng & Koopman, Siem Jan & Lit, Rutger & Petrova, Desislava, 2020, "Long-term forecasting of El Niño events via dynamic factor simulations," Journal of Econometrics, Elsevier, volume 214, issue 1, pages 46-66, DOI: 10.1016/j.jeconom.2019.05.004.
• Phillips, Peter C.B. & Leirvik, Thomas & Storelvmo, Trude, 2020, "Econometric estimates of Earth’s transient climate sensitivity," Journal of Econometrics, Elsevier, volume 214, issue 1, pages 6-32, DOI: 10.1016/j.jeconom.2019.05.002.
• She, Rui & Ling, Shiqing, 2020, "Inference in heavy-tailed vector error correction models," Journal of Econometrics, Elsevier, volume 214, issue 2, pages 433-450, DOI: 10.1016/j.jeconom.2019.03.008.
• Lu, Xiaohui & Zheng, Xu, 2020, "A goodness-of-fit test for copulas based on martingale transformation," Journal of Econometrics, Elsevier, volume 215, issue 1, pages 84-117, DOI: 10.1016/j.jeconom.2019.08.007.
• Akashi, Fumiya & Taniguchi, Masanobu & Monti, Anna Clara, 2020, "Robust causality test of infinite variance processes," Journal of Econometrics, Elsevier, volume 216, issue 1, pages 235-245, DOI: 10.1016/j.jeconom.2020.01.016.
• Alonso, Andrés M. & Galeano, Pedro & Peña, Daniel, 2020, "A robust procedure to build dynamic factor models with cluster structure," Journal of Econometrics, Elsevier, volume 216, issue 1, pages 35-52, DOI: 10.1016/j.jeconom.2020.01.004.
• Barigozzi, Matteo & Hallin, Marc, 2020, "Generalized dynamic factor models and volatilities: Consistency, rates, and prediction intervals," Journal of Econometrics, Elsevier, volume 216, issue 1, pages 4-34, DOI: 10.1016/j.jeconom.2020.01.003.
• Bräuning, Falk & Koopman, Siem Jan, 2020, "The dynamic factor network model with an application to international trade," Journal of Econometrics, Elsevier, volume 216, issue 2, pages 494-515, DOI: 10.1016/j.jeconom.2019.10.007.
• Chambers, Marcus J., 2020, "Frequency domain estimation of cointegrating vectors with mixed frequency and mixed sample data," Journal of Econometrics, Elsevier, volume 217, issue 1, pages 140-160, DOI: 10.1016/j.jeconom.2019.10.010.
• Han, Hyojin & Khrapov, Stanislav & Renault, Eric, 2020, "The leverage effect puzzle revisited: Identification in discrete time," Journal of Econometrics, Elsevier, volume 217, issue 2, pages 230-258, DOI: 10.1016/j.jeconom.2019.12.003.
• Bauwens, Luc & Otranto, Edoardo, 2020, "Nonlinearities and regimes in conditional correlations with different dynamics," Journal of Econometrics, Elsevier, volume 217, issue 2, pages 496-522, DOI: 10.1016/j.jeconom.2019.12.014.
• Martínez-Iriarte, Julián & Sun, Yixiao & Wang, Xuexin, 2020, "Asymptotic F tests under possibly weak identification," Journal of Econometrics, Elsevier, volume 218, issue 1, pages 140-177, DOI: 10.1016/j.jeconom.2019.10.011.
• Antoine, Bertille & Renault, Eric, 2020, "Testing identification strength," Journal of Econometrics, Elsevier, volume 218, issue 2, pages 271-293, DOI: 10.1016/j.jeconom.2020.04.017.
• Komunjer, Ivana & Zhu, Yinchu, 2020, "Likelihood ratio testing in linear state space models: An application to dynamic stochastic general equilibrium models," Journal of Econometrics, Elsevier, volume 218, issue 2, pages 561-586, DOI: 10.1016/j.jeconom.2020.04.029.
• Gungor, Sermin & Luger, Richard, 2020, "Small-sample tests for stock return predictability with possibly non-stationary regressors and GARCH-type effects," Journal of Econometrics, Elsevier, volume 218, issue 2, pages 750-770, DOI: 10.1016/j.jeconom.2020.04.037.
• Lütkepohl, Helmut & Staszewska-Bystrova, Anna & Winker, Peter, 2020, "Constructing joint confidence bands for impulse response functions of VAR models – A review," Econometrics and Statistics, Elsevier, volume 13, issue C, pages 69-83, DOI: 10.1016/j.ecosta.2018.10.002.
• Filippeli, Thomai & Harrison, Richard & Theodoridis, Konstantinos, 2020, "DSGE-based priors for BVARs and quasi-Bayesian DSGE estimation," Econometrics and Statistics, Elsevier, volume 16, issue C, pages 1-27, DOI: 10.1016/j.ecosta.2018.12.002.
• Haddad, Hedi Ben & Mezghani, Imed & Al Dohaiman, Mohammed, 2020, "Common shocks, common transmission mechanisms and time-varying connectedness among Dow Jones Islamic stock market indices and global risk factors," Economic Systems, Elsevier, volume 44, issue 2, DOI: 10.1016/j.ecosys.2020.100760.
• Amendola, Adalgiso & Di Serio, Mario & Fragetta, Matteo & Melina, Giovanni, 2020, "The euro-area government spending multiplier at the effective lower bound," European Economic Review, Elsevier, volume 127, issue C, DOI: 10.1016/j.euroecorev.2020.103480.
• Gambetti, Luca & Musso, Alberto, 2020, "The effects of the ECB’s expanded asset purchase programme," European Economic Review, Elsevier, volume 130, issue C, DOI: 10.1016/j.euroecorev.2020.103573.
• Gribisch, Bastian & Hartkopf, Jan Patrick & Liesenfeld, Roman, 2020, "Factor state–space models for high-dimensional realized covariance matrices of asset returns," Journal of Empirical Finance, Elsevier, volume 55, issue C, pages 1-20, DOI: 10.1016/j.jempfin.2019.08.003.
• Pacicco, Fausto & Vena, Luigi & Venegoni, Andrea, 2020, "Communication and financial supervision: How does disclosure affect market stability?," Journal of Empirical Finance, Elsevier, volume 57, issue C, pages 1-15, DOI: 10.1016/j.jempfin.2020.01.002.
• Ji, Jingru & Wang, Donghua & Xu, Dinghai & Xu, Chi, 2020, "Combining a self-exciting point process with the truncated generalized Pareto distribution: An extreme risk analysis under price limits," Journal of Empirical Finance, Elsevier, volume 57, issue C, pages 52-70, DOI: 10.1016/j.jempfin.2020.03.003.
• Fang, Tong & Lee, Tae-Hwy & Su, Zhi, 2020, "Predicting the long-term stock market volatility: A GARCH-MIDAS model with variable selection," Journal of Empirical Finance, Elsevier, volume 58, issue C, pages 36-49, DOI: 10.1016/j.jempfin.2020.05.007.
• Barbora Malinska, 2020, "Time-Varying Pricing of Risk in Sovereign Bond Futures Returns," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2020/7, Mar, revised Mar 2020.
• Lucrezia Reichlin & Giovanni Ricco & Thomas Hasenzagl, 2020, "Financial Variables as Predictors of Real Growth Vulnerability," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2020-06, Feb.
• Yifan Liu & Shi-Dong Liang, 2020, "A Global-Optimal Portfolio Theory beyond the R-s Model," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, volume 15, issue 1, pages 124-139, March.
• Pawel Krolikowski & Kurt Graden Lunsford, 2020, "Advance Layoff Notices and Aggregate Job Loss," Working Papers, Federal Reserve Bank of Cleveland, number 20-03R, Jan, revised 02 Feb 2022, DOI: 10.26509/frbc-wp-202003r.
• Edward S. Knotek & Saeed Zaman, 2020, "Asymmetric Responses of Consumer Spending to Energy Prices: A Threshold VAR Approach," Working Papers, Federal Reserve Bank of Cleveland, number 20-17, Jun, DOI: 10.26509/frbc-wp-202017.
• Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2020, "No-Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates," Working Papers, Federal Reserve Bank of Cleveland, number 20-27, Sep, DOI: 10.26509/frbc-wp-202027.
• Enrique Martínez García, 2020, "A Matter of Perspective: Mapping Linear Rational Expectations Models into Finite-Order VAR Form," Globalization Institute Working Papers, Federal Reserve Bank of Dallas, number 389, May, DOI: 10.24149/gwp389.
• Alexander Chudik & Kamiar Mohaddes & M. Hashem Pesaran & Mehdi Raissi & Alessandro Rebucci, 2020, "A Counterfactual Economic Analysis of COVID-19 Using a Threshold Augmented Multi-Country Model," Globalization Institute Working Papers, Federal Reserve Bank of Dallas, number 402, Oct, DOI: 10.24149/gwp402.
• Sílvia Gonçalves & Ana María Herrera & Lutz Kilian & Elena Pesavento, 2020, "Impulse Response Analysis for Structural Dynamic Models with Nonlinear Regressors," Working Papers, Federal Reserve Bank of Dallas, number 2019, Jun, DOI: 10.24149/wp2019.
• Nathan S. Balke & Xin Jin & Mine K. Yücel, 2020, "The Shale Revolution and the Dynamics of the Oil Market," Working Papers, Federal Reserve Bank of Dallas, number 2021, Jun, DOI: 10.24149/wp2021.
• Atsushi Inoue & Lutz Kilian, 2020, "Joint Bayesian Inference about Impulse Responses in VAR Models," Working Papers, Federal Reserve Bank of Dallas, number 2022, Jul, DOI: 10.24149/wp2022.
• Atsushi Inoue & Lutz Kilian, 2020, "The Role of the Prior in Estimating VAR Models with Sign Restrictions," Working Papers, Federal Reserve Bank of Dallas, number 2030, Dec, DOI: 10.24149/wp2030.
• Jens H. E. Christensen & Glenn D. Rudebusch & Patrick Shultz, 2020, "Accounting for Low Long-Term Interest Rates: Evidence from Canada," Working Paper Series, Federal Reserve Bank of San Francisco, number 2020-35, Nov, DOI: 10.24148/wp2020-35.
• Régis Barnichon & Davide Debortoli & Christian Matthes, 2020, "Understanding the Size of the Government Spending Multiplier: It's in the Sign," Working Paper Series, Federal Reserve Bank of San Francisco, number 2021-01, Sep, DOI: 10.24148/wp2021-01.
• Hess T. Chung & Cristina Fuentes-Albero & Matthias Paustian & Damjan Pfajfar, 2020, "Latent Variables Analysis in Structural Models: A New Decomposition of the Kalman Smoother," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-100, Dec, DOI: 10.17016/FEDS.2020.100.
• Michael Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2020, "Online Estimation of DSGE Models," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-023, Feb, DOI: 10.17016/FEDS.2020.023.
• Hie Joo Ahn & Matteo Luciani, 2020, "Common and Idiosyncratic Inflation," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-024r1, Mar, revised 01 Aug 2024, DOI: 10.17016/FEDS.2020.024r1.
• Travis J. Berge & Maarten De Ridder & Damjan Pfajfar, 2020, "When is the Fiscal Multiplier High? A Comparison of Four Business Cycle Phases," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-026, Mar, DOI: 10.17016/FEDS.2020.026.
• Elena Afanasyeva & Sam Jerow & Seung Jung Lee & Michele Modugno, 2020, "Sowing the Seeds of Financial Imbalances: The Role of Macroeconomic Performance," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-028, Apr, DOI: 10.17016/FEDS.2020.028.
• Hie Joo Ahn & Yun Liu & Yeonwoo Rho, 2020, "Revealing Cluster Structures Based on Mixed Sampling Frequencies," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-082, Sep, DOI: 10.17016/FEDS.2020.082.
• Manuel González-Astudillo & Jean-Philippe Laforte, 2020, "Estimates of r* Consistent with a Supply-Side Structure and a Monetary Policy Rule for the U.S. Economy," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2020-085, Oct, DOI: 10.17016/FEDS.2020.085.
• Matteo Luciani, 2020, "Common and Idiosyncratic Inflation," FEDS Notes, Board of Governors of the Federal Reserve System (U.S.), number 2020-03-05, Mar, DOI: 10.17016/2380-7172.2508.
• Scott A. Brave & R. Andrew Butters & Michael Fogarty, 2020, "Looking down the road with ALEX: Forecasting U.S. GDP," Chicago Fed Letter, Federal Reserve Bank of Chicago, issue 447, pages 1-5, October.
• Fabio Canova & Filippo Ferroni, 2020, "Mind the gap! Stylized Dynamic Facts and Structural Models," Working Paper Series, Federal Reserve Bank of Chicago, number WP-2020-29, Nov, DOI: 10.21033/wp-2020-29.
• Renato Faccini & Leonardo Melosi, 2020, "Bad Jobs and Low Inflation," Working Paper Series, Federal Reserve Bank of Chicago, number WP-2020-09, Mar, revised 09 Feb 2021, DOI: 10.21033/wp-2020-09.
• Yifei Lyu & Jun Nie & Shu-Kuei X. Yang, 2020, "Forecasting U.S. Economic Growth in Downturns Using Cross-Country Data," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 20-09, Aug, DOI: 10.18651/RWP2020-09.
• Amy Y. Guisinger & Michael T. Owyang & Daniel Soques, 2020, "Industrial Connectedness and Business Cycle Comovements," Working Papers, Federal Reserve Bank of St. Louis, number 2020-052, Dec, revised 04 Aug 2021, DOI: 10.20955/wp.2020.052.
• Jan J. J. Groen & Michael Nattinger & Adam I. Noble, 2020, "Measuring Global Financial Market Stresses," Staff Reports, Federal Reserve Bank of New York, number 940, Sep.
• Frank Schorfheide & Dongho Song, 2020, "Real-Time Forecasting with a (Standard) Mixed-Frequency VAR During a Pandemic," Working Papers, Federal Reserve Bank of Philadelphia, number 20-26, Jul, DOI: 10.21799/frbp.wp.2020.26.
• Siddhartha Chib & Minchul Shin & Fei Tan, 2020, "High-Dimensional DSGE Models: Pointers on Prior, Estimation, Comparison, and Prediction∗," Working Papers, Federal Reserve Bank of Philadelphia, number 20-35, Sep, DOI: 10.21799/frbp.wp.2020.35.
• Jonas E. Arias & Juan F. Rubio-Ramirez & Daniel F. Waggoner, 2020, "Uniform Priors for Impulse Responses," Working Papers, Federal Reserve Bank of Philadelphia, number 22-30, Sep, DOI: 10.21799/frbp.wp.2022.30.
• Grey Gordon, 2020, "Efficient VAR Discretization," Working Paper, Federal Reserve Bank of Richmond, number 20-06, Jun, DOI: 10.21144/wp20-06.
• Paul Ho, 2020, "Global Robust Bayesian Analysis in Large Models," Working Paper, Federal Reserve Bank of Richmond, number 20-07, Jun, DOI: 10.21144/wp20-07.
• Paul Ho & Thomas A. Lubik & Christian Matthes, 2020, "How To Go Viral: A COVID-19 Model with Endogenously Time-Varying Parameters," Working Paper, Federal Reserve Bank of Richmond, number 20-10, Aug, DOI: 10.21144/wp20-10.
• Fabrizio Cipollini & Giampiero Gallo & Alessandro Palandri, 2020, "A Dynamic Conditional Approach to Portfolio Weights Forecasting," Econometrics Working Papers Archive, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", number 2020_06, May.
• Leyla BAÅžTAV, 2020, "Monetary Policy Interest Rate Channel in Turkey: Toda-Yamamoto Method (2011-2018)," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 2, DOI: 10.25295/fsecon.2020.02.004.
• Tuğçe TATOÄžLU & Esra AKSOY, 2020, "The Impact of Bank and Credit Card Expenditures on Real Exchange Rate in Turkey: VAR Analysis and Toda-Yamamoto Causality Test," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 3, DOI: 10.25295/fsecon.759460.
• Leonardo BARGIGLI & Giulio CIFARELLI, 2020, "Structural Interdependence of Price and Demand in a Model of the Foreign Exchange Market with Heterogeneous Speculators: Evidence from High-frequency Data," Working Papers - Economics, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa, number wp2020_04.rdf.
• Leonardo Bargigli & Giulio Cifarelli, 2020, "Endogenous and Exogenous Volatility in the Foreign Exchange Market," Working Papers - Economics, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa, number wp2020_17.rdf.
• Marius Cristian Acatrinei, 2020, "Financial stability indicator for non-banking markets," Journal of Financial Studies, Institute of Financial Studies, volume 9, issue 5, pages 3-9, November, DOI: 10.6084/m9.figshare.13621271.
• Marius Cristian Acatrinei, 2020, "Spillover index for European business cycle," Journal of Financial Studies, Institute of Financial Studies, volume 9, issue 5, pages 49-57, November, DOI: 10.6084/m9.figshare.13621658.
• Polbin Andrei & Sinelnikov-Murylev Sergey, 2020, "A simple macro-econometric simultaneous equation model for the Russian economy," Research Paper Series, Gaidar Institute for Economic Policy, issue 180P, pages 1-51.
• David Ardia & Lukasz T. Gatarek & Lennart Hoogerheide & Herman K. Van Dijk, 2020, "Correction: Ardia, D., et al. Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices. Econometrics 2016, 4 , 14," Econometrics, MDPI, volume 8, issue 1, pages 1-1, February.
• Peter C. B. Phillips, 2020, "Dynamic Panel Modeling of Climate Change," Econometrics, MDPI, volume 8, issue 3, pages 1-28, July.
• Katsuto Tanaka & Weilin Xiao & Jun Yu, 2020, "Maximum Likelihood Estimation for the Fractional Vasicek Model," Econometrics, MDPI, volume 8, issue 3, pages 1-28, August.
• Katarzyna Maciejowska & Bartosz Uniejewski & Tomasz Serafin, 2020, "PCA Forecast Averaging—Predicting Day-Ahead and Intraday Electricity Prices," Energies, MDPI, volume 13, issue 14, pages 1-19, July.
• Grzegorz Marcjasz & Bartosz Uniejewski & Rafał Weron, 2020, "Beating the Naïve—Combining LASSO with Naïve Intraday Electricity Price Forecasts," Energies, MDPI, volume 13, issue 7, pages 1-16, April.
• Dean Fantazzini & Nikita Kolodin, 2020, "Does the Hashrate Affect the Bitcoin Price?," JRFM, MDPI, volume 13, issue 11, pages 1-29, October.
• Christiane Baumeister & Dimitris Korobilis & Thomas K. Lee, 2020, "Energy Markets and Global Economic Conditions," Working Papers, Business School - Economics, University of Glasgow, number 2020_08, Feb.
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