Research classified by Journal of Economic Literature (JEL) codes

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Top JEL
/ E: Macroeconomics and Monetary Economics
/ / E3: Prices, Business Fluctuations, and Cycles
/ / / E37: Forecasting and Simulation: Models and Applications

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

1. Forecasting Economic Activity Using Financial Variables
2. Nowcasting

2016

• Graham Gudgin & Ken Coutts & Neil Gibson & Jordan Buchanan, 2016, "The Macro-Economic Impact of Brexit: Using the CBR Macro-Economic Model of the UK Economy (UKMOD)," Working Papers, Centre for Business Research, University of Cambridge, number wp483, May.
• Makram El-Shagi & Gregor von Schweinitz, 2016, "Qual VAR revisited: Good forecast, bad story," Journal of Applied Economics, Universidad del CEMA, volume 19, pages 293-322, November.
• Lutz Kilian & Robert J. Vigfusson, 2016, "The Role of Oil Price Shocks in Causing U.S. Recessions," CESifo Working Paper Series, CESifo, number 5743.
• Robert Lehmann & Klaus Wohlrabe, 2016, "Boosting and Regional Economic Forecasting: The Case of Germany," CESifo Working Paper Series, CESifo, number 6157.
• Cristiana Belu Manescu & Ine Van Robays, 2016, "Forecasting the Brent Oil Price: Addressing Time-Variation in Forecast Performance," CESifo Working Paper Series, CESifo, number 6242.
• Robert Lehmann, 2016, "Economic Growth and Business Cycle Forecasting at the Regional Level," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
• Klaus Abberger & Biswa Nath Bhattacharyay & Chang Woon Nam & Gernot Nerb & Siegfried Schönherr, 2014, "How Can the Crisis Vulnerability of Emerging Economies Be Reduced?," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 65.
• Franziska Fobbe & Robert Lehmann, 2016, "Elektromotoren, Energieversorgung und Erziehung: Die Güte der entstehungsseitigen ifo-Kurzfristprognose," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, volume 69, issue 12, pages 58-63, June.
• Robert Lehmann & Timo Wollmershäuser, 2016, "Zur Prognosegüte der gesamtwirtschaftlichen Stundenproduktivität," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, volume 69, issue 22, pages 57-61, November.
• Carlos Medel & Gilmour Camilleri & Hsiang-Ling Hsu & Stefan Kania & Miltiadis Touloumtzoglou, 2016, "Robustness in Foreign Exchange Rate Forecasting Models: Economics-Based Modelling After the Financial Crisis," Working Papers Central Bank of Chile, Central Bank of Chile, number 784, May.
• Carlos Medel, 2016, "Forecasting Inflation with the Hybrid New Keynesian Phillips Curve: A Compact-Scale Global VAR Approach," Working Papers Central Bank of Chile, Central Bank of Chile, number 785, May.
• Carlos Medel, 2016, "Forecasting Chilean Inflation with the Hybrid New Keynesian Phillips Curve: Globalisation, Combination, and Accuracy," Working Papers Central Bank of Chile, Central Bank of Chile, number 791, Oct.
• Patrick Gagliardini & Eric Ghysels & Mirco Rubin, 2016, "Indirect Inference Estimation of Mixed Frequency Stochastic Volatility State Space Models Using MIDAS Regressions and ARCH Models," Swiss Finance Institute Research Paper Series, Swiss Finance Institute, number 16-46, Jul.
• Dalibor Stevanovic & Rachidi Kotchoni, 2016, "Forecasting U.S. Recessions and Economic Activity," CIRANO Working Papers, CIRANO, number 2016s-36, Aug.
• Sylvain Leduc & Kevin Moran & Robert J. Vigfusson, 2016, "Learning in the Oil Futures Markets: Evidence and Macroeconomic Implications," CIRANO Working Papers, CIRANO, number 2016s-53, Oct.
• Pablo Galaso & Sandra Rodríguez, 2016, "A composite leading cycle indicator for Uruguay," Estudios Regionales en Economía, Población y Desarrollo. Cuadernos de Trabajo de la Universidad Autónoma de Ciudad Juárez., Cuerpo Académico 41 de la Universidad Autónoma de Ciudad Juárez, number 31, Feb, revised 01 Feb 2016.
• Hernando Vargas-Herrera, 2016, "Inflation Expectations and a Model-Based Core Inflation Measure in Colombia," Borradores de Economia, Banco de la Republica, number 14264, Feb.
• Álvaro Hurtado Rendón, 2016, "A contribution of Bayesian approach to experimental economics," Documentos de Trabajo de Valor Público, Universidad EAFIT, number 14250, Feb.
• Abel Rodríguez Tirado & Marcelo Delajara & Federico Hern�ndez �lvarez, 2016, "Nowcasting Mexico’s Short-Term GDP Growth in Real-Time: A Factor Model versus Professional Forecasters," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, volume 0, issue Fall 2016, pages 167-182.
• Fernández-Villaverde, Jesús & Levintal, Oren, 2016, "Solution Methods for Models with Rare Disasters," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 11115, Feb.
• Söderström, Ulf & Iversen, Jens & LASEEN, PER & Lundvall, Henrik, 2016, "Real-Time Forecasting for Monetary Policy Analysis: The Case of Sveriges Riksbank," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 11203, Mar.
• Primiceri, Giorgio & Giannone, Domenico & Lenza, Michele, 2016, "Priors for the Long Run," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 11261, May.
• Adrian, Tobias & Boyarchenko, Nina & Giannone, Domenico, 2016, "Vulnerable Growth," CEPR Discussion Papers, C.E.P.R. Discussion Papers, number 11583, Oct.
• Stéphane Auray & Aurélien Eyquem & Paul Gomme, 2016, "Debt Hangover in the Aftermath of the Great Recession," Working Papers, Center for Research in Economics and Statistics, number 2016-02, Jan.
• Barnett, William A. & Eryilmaz, Unal, 2016, "An Analytical And Numerical Search For Bifurcations In Open Economy New Keynesian Models," Macroeconomic Dynamics, Cambridge University Press, volume 20, issue 2, pages 482-503, March.
• Anton Antonov GERUNOV, 2016, "Automating Analytics: Forecasting Time Series in Economics and Business," Journal of Economics and Political Economy, EconSciences Journals, volume 3, issue 2, pages 340-349, June.
• Philippe De Donder & John E. Roemer, 2016, "The Dynamics of Capital Accumulation in the US: Simulations after Piketty," Cowles Foundation Discussion Papers, Cowles Foundation for Research in Economics, Yale University, number 1998R, Jun.
• Shirly Siew-Ling WONG & Chin-Hong PUAH & Shazali ABU MANSOR & Venus Khim-Sen LIEW, 2016, "Measuring Business Cycle Fluctuations: An Alternative Precursor To Economic Crises," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 50, issue 4, pages 235-248.
• Julio B. CLEMPNER & Alexander S. POZNYAK, 2016, "Analyzing An Optimistic Attitude For The Leader Firm In Duopoly Models: A Strong Stackelberg Equilibrium Based On A Lyapunov Game Theory Approach," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, volume 50, issue 4, pages 41-60.
• Zouhair Ait Benhamou, 2016, "Fluctuations in emerging economies: regional and global factors," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2016-3.
• Rachidi Kotchoni & Dalibor Stevanovic, 2016, "Forecasting U.S. Recessions and Economic Activity," EconomiX Working Papers, University of Paris Nanterre, EconomiX, number 2016-40.
• Robert Kollmann, 2016, "Tractable Likelihood-Based Estimation of Non-Linear DSGE Models Using Higher-Order Approximations," Working Papers ECARES, ULB -- Universite Libre de Bruxelles, number ECARES 2016-15, Mar.
• Studener, Werner & Merriman, Niall & Karakitsos, Polychronis & Bunea, Daniela, 2016, "Profit distribution and loss coverage rules for central banks," Occasional Paper Series, European Central Bank, number 169, Apr.
• Jarociński, Marek & Lenza, Michele, 2016, "How large is the output gap in the euro area," Research Bulletin, European Central Bank, volume 24.
• Coenen, Günter & Schmidt, Sebastian, 2016, "The role of the ECB’s asset purchases in preventing a potential de-anchoring of longer-term inflation expectations," Research Bulletin, European Central Bank, volume 25.
• Gilbert, Thomas & Scotti, Chiara & Strasser, Georg & Vega, Clara, 2016, "Is the intrinsic value of macroeconomic news announcements related to their asset price impact?," Working Paper Series, European Central Bank, number 1882, Feb.
• Rünstler, Gerhard, 2016, "On the design of data sets for forecasting with dynamic factor models," Working Paper Series, European Central Bank, number 1893, Apr.
• Dées, Stéphane, 2016, "Credit, asset prices and business cycles at the global level," Working Paper Series, European Central Bank, number 1895, Apr.
• Krylova, Elizaveta, 2016, "Leading indicator properties of corporate bond spreads, excess bond premia and lending spreads in the euro area," Working Paper Series, European Central Bank, number 1911, Jun.
• Mikolajun, Irena & Lodge, David, 2016, "Advanced economy inflation: the role of global factors," Working Paper Series, European Central Bank, number 1948, Aug.
• Lenza, Michele & Jarociński, Marek, 2016, "An inflation-predicting measure of the output gap in the euro area," Working Paper Series, European Central Bank, number 1966, Sep.
• Hubrich, Kirstin & Skudelny, Frauke, 2016, "Forecast combination for euro area inflation: a cure in times of crisis?," Working Paper Series, European Central Bank, number 1972, Oct.
• Tanveer Bagh & Muhammad Imran Nazir & Muhammad Asif Khan & Muhammad Atif Khan & Sadaf Razzaq, 2016, "The Impact of Working Capital Management on Firms Financial Performance: Evidence from Pakistan," International Journal of Economics and Financial Issues, Econjournals, volume 6, issue 3, pages 1097-1105.
• Marat Rashitovich Safiullin & Leonid Alekseevich Elshin & Leonid Alekseevich Elshin & Elvira Gumarovna Nikiforova, 2016, "Methodological Approaches to the Diagnosis and Forecast of the Long-Wave Fluctuations in the Economy," International Journal of Economics and Financial Issues, Econjournals, volume 6, issue 4, pages 1616-1624.
• Fuentes H., Fernando & García, Carlos J., 2016, "Ciclo económico y minería del cobre en Chile," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
• Fuentes H., Fernando & García, Carlos J., 2016, "The business cycle and copper mining in Chile," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), April.
• Groen, Jan J.J. & Kapetanios, George, 2016, "Revisiting useful approaches to data-rich macroeconomic forecasting," Computational Statistics & Data Analysis, Elsevier, volume 100, issue C, pages 221-239, DOI: 10.1016/j.csda.2015.11.014.
• Elias, Christopher J., 2016, "Asset pricing with expectation shocks," Journal of Economic Dynamics and Control, Elsevier, volume 65, issue C, pages 68-82, DOI: 10.1016/j.jedc.2016.02.005.
• Popp, Aaron & Zhang, Fang, 2016, "The macroeconomic effects of uncertainty shocks: The role of the financial channel," Journal of Economic Dynamics and Control, Elsevier, volume 69, issue C, pages 319-349, DOI: 10.1016/j.jedc.2016.05.021.
• Dovern, Jonas & Feldkircher, Martin & Huber, Florian, 2016, "Does joint modelling of the world economy pay off? Evaluating global forecasts from a Bayesian GVAR," Journal of Economic Dynamics and Control, Elsevier, volume 70, issue C, pages 86-100, DOI: 10.1016/j.jedc.2016.06.006.
• Sims, Eric, 2016, "What׳s news in News? A cautionary note on using a variance decomposition to assess the quantitative importance of news shocks," Journal of Economic Dynamics and Control, Elsevier, volume 73, issue C, pages 41-60, DOI: 10.1016/j.jedc.2016.09.005.
• Belongia, Michael T. & Ireland, Peter N., 2016, "The evolution of U.S. monetary policy: 2000–2007," Journal of Economic Dynamics and Control, Elsevier, volume 73, issue C, pages 78-93, DOI: 10.1016/j.jedc.2016.09.009.
• Valadkhani, Abbas & Costello, Greg & Ratti, Ronald, 2016, "House price cycles in Australia’s four largest capital cities," Economic Analysis and Policy, Elsevier, volume 52, issue C, pages 11-22, DOI: 10.1016/j.eap.2016.07.003.
• Dees, Stéphane, 2016, "Credit, asset prices and business cycles at the global level," Economic Modelling, Elsevier, volume 54, issue C, pages 139-152, DOI: 10.1016/j.econmod.2015.12.027.
• Tsuchiya, Yoichi, 2016, "Do production managers predict turning points? A directional analysis," Economic Modelling, Elsevier, volume 58, issue C, pages 1-8, DOI: 10.1016/j.econmod.2016.05.019.
• Fan, Jingwen & Minford, Patrick & Ou, Zhirong, 2016, "The role of fiscal policy in Britain's Great Inflation," Economic Modelling, Elsevier, volume 58, issue C, pages 203-218, DOI: 10.1016/j.econmod.2016.05.027.
• Hur, Joonyoung & Kim, Insu, 2016, "Information rigidities in survey data: Evidence from dispersions in forecasts and forecast revisions," Economics Letters, Elsevier, volume 142, issue C, pages 10-14, DOI: 10.1016/j.econlet.2016.02.021.
• Baetje, Fabian & Friedrici, Karola, 2016, "Does cross-sectional forecast dispersion proxy for macroeconomic uncertainty? New empirical evidence," Economics Letters, Elsevier, volume 143, issue C, pages 38-43, DOI: 10.1016/j.econlet.2016.03.014.
• Barhoumi, Karim & Darné, Olivier & Ferrara, Laurent, 2016, "A World Trade Leading Index (WTLI)," Economics Letters, Elsevier, volume 146, issue C, pages 111-115, DOI: 10.1016/j.econlet.2016.07.032.
• Lucotte, Yannick, 2016, "Co-movements between crude oil and food prices: A post-commodity boom perspective," Economics Letters, Elsevier, volume 147, issue C, pages 142-147, DOI: 10.1016/j.econlet.2016.08.032.
• Chudik, Alexander & Grossman, Valerie & Pesaran, M. Hashem, 2016, "A multi-country approach to forecasting output growth using PMIs," Journal of Econometrics, Elsevier, volume 192, issue 2, pages 349-365, DOI: 10.1016/j.jeconom.2016.02.003.
• Chan, Joshua C.C. & Eisenstat, Eric & Koop, Gary, 2016, "Large Bayesian VARMAs," Journal of Econometrics, Elsevier, volume 192, issue 2, pages 374-390, DOI: 10.1016/j.jeconom.2016.02.005.
• Del Negro, Marco & Hasegawa, Raiden B. & Schorfheide, Frank, 2016, "Dynamic prediction pools: An investigation of financial frictions and forecasting performance," Journal of Econometrics, Elsevier, volume 192, issue 2, pages 391-405, DOI: 10.1016/j.jeconom.2016.02.006.
• Pettenuzzo, Davide & Timmermann, Allan & Valkanov, Rossen, 2016, "A MIDAS approach to modeling first and second moment dynamics," Journal of Econometrics, Elsevier, volume 193, issue 2, pages 315-334, DOI: 10.1016/j.jeconom.2016.04.009.
• Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016, "Forecasting the South African inflation rate: On asymmetric loss and forecast rationality," Economic Systems, Elsevier, volume 40, issue 1, pages 82-92, DOI: 10.1016/j.ecosys.2015.08.004.
• Caldara, Dario & Fuentes-Albero, Cristina & Gilchrist, Simon & Zakrajšek, Egon, 2016, "The macroeconomic impact of financial and uncertainty shocks," European Economic Review, Elsevier, volume 88, issue C, pages 185-207, DOI: 10.1016/j.euroecorev.2016.02.020.
• Albonico, Alice & Paccagnini, Alessia & Tirelli, Patrizio, 2016, "In search of the Euro area fiscal stance," Journal of Empirical Finance, Elsevier, volume 39, issue PB, pages 254-264, DOI: 10.1016/j.jempfin.2016.06.007.
• Castro, César & Jerez, Miguel & Barge-Gil, Andrés, 2016, "The deflationary effect of oil prices in the euro area," Energy Economics, Elsevier, volume 56, issue C, pages 389-397, DOI: 10.1016/j.eneco.2016.03.010.
• Naser, Hanan, 2016, "Estimating and forecasting the real prices of crude oil: A data rich model using a dynamic model averaging (DMA) approach," Energy Economics, Elsevier, volume 56, issue C, pages 75-87, DOI: 10.1016/j.eneco.2016.02.017.
• Wang, Yudong & Liu, Li & Ma, Feng & Wu, Chongfeng, 2016, "What the investors need to know about forecasting oil futures return volatility," Energy Economics, Elsevier, volume 57, issue C, pages 128-139, DOI: 10.1016/j.eneco.2016.05.004.
• Haugom, Erik & Mydland, Ørjan & Pichler, Alois, 2016, "Long term oil prices," Energy Economics, Elsevier, volume 58, issue C, pages 84-94, DOI: 10.1016/j.eneco.2016.06.014.
• Arouri, Mohamed & Estay, Christophe & Rault, Christophe & Roubaud, David, 2016, "Economic policy uncertainty and stock markets: Long-run evidence from the US," Finance Research Letters, Elsevier, volume 18, issue C, pages 136-141, DOI: 10.1016/j.frl.2016.04.011.
• Bekiros, Stelios & Cardani, Roberta & Paccagnini, Alessia & Villa, Stefania, 2016, "Dealing with financial instability under a DSGE modeling approach with banking intermediation: A predictability analysis versus TVP-VARs," Journal of Financial Stability, Elsevier, volume 26, issue C, pages 216-227, DOI: 10.1016/j.jfs.2016.07.006.
• Oet, Mikhail V. & Gramlich, Dieter & Sarlin, Peter, 2016, "Evaluating measures of adverse financial conditions," Journal of Financial Stability, Elsevier, volume 27, issue C, pages 234-249, DOI: 10.1016/j.jfs.2016.06.008.
• Altug, Sumru & Çakmaklı, Cem, 2016, "Forecasting inflation using survey expectations and target inflation: Evidence for Brazil and Turkey," International Journal of Forecasting, Elsevier, volume 32, issue 1, pages 138-153, DOI: 10.1016/j.ijforecast.2015.03.010.
• Aastveit, Knut Are & Jore, Anne Sofie & Ravazzolo, Francesco, 2016, "Identification and real-time forecasting of Norwegian business cycles," International Journal of Forecasting, Elsevier, volume 32, issue 2, pages 283-292, DOI: 10.1016/j.ijforecast.2015.06.006.
• Liu, Weiling & Moench, Emanuel, 2016, "What predicts US recessions?," International Journal of Forecasting, Elsevier, volume 32, issue 4, pages 1138-1150, DOI: 10.1016/j.ijforecast.2016.02.007.
• Modugno, Michele & Soybilgen, Barış & Yazgan, Ege, 2016, "Nowcasting Turkish GDP and news decomposition," International Journal of Forecasting, Elsevier, volume 32, issue 4, pages 1369-1384, DOI: 10.1016/j.ijforecast.2016.07.001.
• Chang, Andrew C. & Hanson, Tyler J., 2016, "The accuracy of forecasts prepared for the Federal Open Market Committee," Journal of Economics and Business, Elsevier, volume 83, issue C, pages 23-43, DOI: 10.1016/j.jeconbus.2015.12.001.
• Giglio, Stefano & Kelly, Bryan & Pruitt, Seth, 2016, "Systemic risk and the macroeconomy: An empirical evaluation," Journal of Financial Economics, Elsevier, volume 119, issue 3, pages 457-471, DOI: 10.1016/j.jfineco.2016.01.010.
• Schreiber, Sven & Soldatenkova, Natalia, 2016, "Anticipating business-cycle turning points in real time using density forecasts from a VAR," Journal of Macroeconomics, Elsevier, volume 47, issue PB, pages 166-187, DOI: 10.1016/j.jmacro.2015.12.002.
• Morikawa, Masayuki, 2016, "Business uncertainty and investment: Evidence from Japanese companies," Journal of Macroeconomics, Elsevier, volume 49, issue C, pages 224-236, DOI: 10.1016/j.jmacro.2016.08.001.
• Hamilton, J.D., 2016, "Macroeconomic Regimes and Regime Shifts," Handbook of Macroeconomics, Elsevier, chapter 0, in: J. B. Taylor & Harald Uhlig, "Handbook of Macroeconomics", DOI: 10.1016/bs.hesmac.2016.03.004.
• Stock, J.H. & Watson, M.W., 2016, "Dynamic Factor Models, Factor-Augmented Vector Autoregressions, and Structural Vector Autoregressions in Macroeconomics," Handbook of Macroeconomics, Elsevier, chapter 0, in: J. B. Taylor & Harald Uhlig, "Handbook of Macroeconomics", DOI: 10.1016/bs.hesmac.2016.04.002.
• Andrade, Philippe & Crump, Richard K. & Eusepi, Stefano & Moench, Emanuel, 2016, "Fundamental disagreement," Journal of Monetary Economics, Elsevier, volume 83, issue C, pages 106-128, DOI: 10.1016/j.jmoneco.2016.08.007.
• Geyer, Alois & Hanke, Michael & Weissensteiner, Alex, 2016, "Inflation forecasts extracted from nominal and real yield curves," The Quarterly Review of Economics and Finance, Elsevier, volume 60, issue C, pages 180-188, DOI: 10.1016/j.qref.2015.10.002.
• Zhang, Chengsi & Zhou, You, 2016, "The Global Slack Hypothesis: New Evidence from China," International Review of Economics & Finance, Elsevier, volume 42, issue C, pages 339-348, DOI: 10.1016/j.iref.2015.10.007.
• Miah, Fazlul & Rahman, M. Saifur & Albinali, Khalid, 2016, "Rationality of survey based inflation expectations: A study of 18 emerging economies’ inflation forecasts," Research in International Business and Finance, Elsevier, volume 36, issue C, pages 158-166, DOI: 10.1016/j.ribaf.2015.09.029.
• Pierdzioch, Christian & Reid, Monique B. & Gupta, Rangan, 2016, "Inflation forecasts and forecaster herding: Evidence from South African survey data," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, volume 62, issue C, pages 42-50, DOI: 10.1016/j.socec.2016.03.004.
• Setterfield, Mark & Gouri Suresh, Shyam, 2016, "Multi-agent systems as a tool for analyzing path-dependent macrodynamics," Structural Change and Economic Dynamics, Elsevier, volume 38, issue C, pages 25-37, DOI: 10.1016/j.strueco.2016.03.001.
• Prayudhi Azwar & Rod Tyers, 2016, "Post-GFC External Shocks and Indonesian Economic Performance," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2016-58, Sep.
• Delajara, Marcelo & Álvarez, Federico Hernández & Tirado, Abel Rodríguez, 2016, "Nowcasting Mexico’s short-term GDP growth in real-time: a factor model versus professional forecasters," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 123297, Oct.
• Cai, Xiaoming & Den Haan, Wouter J. & Pinder, Jonathan, 2016, "Predictable recoveries," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 65188, Apr.
• Giacomini, Raffaella & Skreta, Vasiliki & Turen, Javier, 2016, "Models, inattention and expectation updates," LSE Research Online Documents on Economics, London School of Economics and Political Science, LSE Library, number 86245, Dec.
• Chávez, Ricardo & García, Carlos J., 2016, "Reforma tributaria en fases," El Trimestre Económico, Fondo de Cultura Económica, volume 0, issue 330, pages .275-310, abril-jun, DOI: http://dx.doi.org/10.20430/ete.v83i.
• Gabriele Fiorentini & Alessandro Galesi & Enrique Sentana, 2016, "Fast ML Estimation of Dynamic Bifactor Models: An Application to European Inflation," Advances in Econometrics, Emerald Group Publishing Limited, "Dynamic Factor Models", DOI: 10.1108/S0731-905320150000035006.
• Maximo Camacho & Danilo Leiva-Leon & Gabriel Perez-Quiros, 2016, "Country Shocks, Monetary Policy Expectations and ECB Decisions. A Dynamic Non-linear Approach," Advances in Econometrics, Emerald Group Publishing Limited, "Dynamic Factor Models", DOI: 10.1108/S0731-905320150000035007.
• Gerhard Rünstler, 2016, "On the Design of Data Sets for Forecasting with Dynamic Factor Models," Advances in Econometrics, Emerald Group Publishing Limited, "Dynamic Factor Models", DOI: 10.1108/S0731-905320150000035016.
• SEKINE Atsushi & TSURUGA Takayuki, 2016, "Effects of Commodity Price Shocks on Inflation: A Cross-Country Analysis," ESRI Discussion paper series, Economic and Social Research Institute (ESRI), number 331, Jul.
• Masayuki MORIKAWA, 2016, "Business Uncertainty and Investment: Evidence from Japanese companies," Discussion papers, Research Institute of Economy, Trade and Industry (RIETI), number 16014, Feb.
• Alessandro Girardi & Christian Gayer & Andreas Reuter, 2016, "Replacing Judgment by Statistics: Constructing Consumer Confidence Indicators on the Basis of Data-driven Techniques," European Economy - Discussion Papers, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, number 034, Jul.
• Stanislav Tvrz & Osvald Vasicek, 2016, "The Great Recession in the Non-EMU Visegrád Countries: A Nonlinear DSGE Model with Time-Varying Parameters," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 66, issue 3, pages 207-235, June.
• Pablo M. Pincheira & Carlos A. Medel, 2016, "Forecasting with a Random Walk," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 66, issue 6, pages 539-564, December.
• Vedunka Kopecna, 2016, "Public Employment Effects over the Business Cycle: the Czech Case," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2016/13, Jul, revised Jul 2016.
• Mattia Guerini & Mauro Napoletano & Andrea Roventini, 2016, "No man is an island : the Impact of Heterogeneity and local interactions on Macroeconomic Dynamics," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2016-18, Jun.
• Kevin X. D. Huang & Guoqiang Tian, 2016, "China's Macroeconomic Outlook and Risk Assessment: Counterfactual Analysis, Policy Simulation, and Long-Term Governance¡ªA Summary of Annual Report (2015¨C2016)," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, volume 11, issue 2, pages 173-191, June.
• Cordeiro, Yara de Almeida Campos & Gaglianone, Wagner Piazza & Issler, João Victor, 2016, "Inattention in individual expectations," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE), EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), number 776.
• Nikolay Gospodinov, 2016, "The role of commodity prices in forecasting U.S. core inflation," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2016-5, Feb.
• Brent Meyer & Saeed Zaman, 2016, "The Usefulness of the Median CPI in Bayesian VARs Used for Macroeconomic Forecasting and Policy," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2016-13, Nov.
• Enrique Martínez García, 2016, "Finite-Order VAR Representation of Linear Rational Expectations Models: With Some Lessons for Monetary Policy," Globalization Institute Working Papers, Federal Reserve Bank of Dallas, number 285, Sep, DOI: 10.24149/gwp285r2.
• N. Kundan Kishor & Evan F. Koenig, 2016, "The roles of inflation expectations, core inflation, and slack in real-time inflation forecasting," Working Papers, Federal Reserve Bank of Dallas, number 1613, Nov, DOI: 10.24149/wp1613.
• Kirstin Hubrich & Frauke Skudelny, 2016, "Forecast Combination for Euro Area Inflation - A Cure in Times of Crisis?," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-104, Aug, DOI: 10.17016/FEDS.2016.104.
• Daniela Bragoli & Michele Modugno, 2016, "A Nowcasting Model for Canada: Do U.S. Variables Matter?," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-036, Apr, DOI: 10.17016/FEDS.2016.036.
• Michele Modugno & Bariş Soybilgen & M. Ege Yazgan, 2016, "Nowcasting Turkish GDP and News Decomposition," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-044, May, DOI: 10.17016/FEDS.2016.044.
• Jeremy J. Nalewaik, 2016, "Non-Linear Phillips Curves with Inflation Regime-Switching," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2016-078, Aug, DOI: 10.17016/FEDS.2016.078.
• Dario Caldara & Cristina Fuentes-Albero & Simon Gilchrist & Egon Zakrajšek, 2016, "The Macroeconomic Impact of Financial and Uncertainty Shocks," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.), number 1166, May, DOI: 10.17016/IFDP.2016.1166.
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• Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 20, pages 1-26, February.
• Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Andrei Kaukin & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
• Alexandra Bozhechkova & Alexander Knobel & Sergey Tsukhlo & Elena Grishina & Pavel Trunin & Alexander Firanchuk & Olga Berezinskaya, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 22, pages 1-27, April.
• Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 23, pages 1-27, April.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Averkiev Vladimir & Shishkina Ekaterina & Florinskaya Yulia & Mkrtchian N. & S, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
• Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
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• Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Nat, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
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• Idrisov Georgy & Avraamova Elena & Khromov Mikhail & Tsukhlo Sergey & Shagaida Natalia & Kaukin Andrey & Gurevich Vladimir & Loginov Dmitry & Pavlov Pavel, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 35, pages 1-23, November.
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• Knobel Alexander & Firanchuk Alexander & Kaukin Andrey & Zubarevich Natalia & Gurevich Vladimir & Miller Evgenia, 2016, "Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development (In Russian), Gaidar Institute for Economic Policy, issue 38, pages 1-23, December.
• Sergey Drobyshevsky & Marina Turuntseva & Michael Khromov & Yuri Bobylev & Arseny Mamedov & Evgenia Fomina & Viktoria Petrenko & Vasily Uzun, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 19, pages 1-26, January.
• Arseny Mamedov & Evgenia Fomina & Alexandra Bozhechkova & Sergey Tsukhlo & Pavel Trunin & Victor Lyashok, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 20, pages 1-22, February.
• Arseny Mamedov & Evgenia Fomina & Mikhail Khromov & Natalia Shagaida & Natalia Zubarevich & Pavel Pavlov & Vasily Uzun, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 21, pages 1-30, February.
• Alexandra Bozhechkova & Alexander Knobel & Sergey Tsukhlo & Elena Grishina & Pavel Trunin & Alexander Firanchuk & Olga Berezinskaya, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 22, pages 1-27, March.
• Mikhail Khromov & Yuri Bobylev & Sergey Tsukhlo & E. Avraamova & D. Loginov & O. Rasenko & Ekaterina Ponomareva & Sergey Sudakov, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 23, pages 1-27, March.
• Drobyshevsky Sergey & Turuntseva Marina & Bozhechkova Alexandra & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shishkina Ekaterina & Uzun Vasily & Flor, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 24, pages 1-27, April.
• Idrisov Georgy & Bozhechkova Alexandra & Trunin Pavel & Khromov Mikhail & Tsukhlo Sergey & Goryunov Evgeny & Deryugin Alexander & Kaukin Andrey, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 25, pages 1-22, April.
• Drobyshevsky Sergey & Kazakova Maria & Idrisov Georgy & Tsukhlo Sergey & Lyashok Viktor, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 27, pages 1-24, May.
• Drobyshevsky Sergey & Turuntseva Marina & Bobylev Yuri & Rasenko O. & Trunin Pavel & Knobel Alexander & Firanchuk Alexander & Khromov Mikhail & Averkiev Vladimir & Shagaida Natalia & Kiyutsevskaya Ann, 2016, "Online Monitoring of Russia's Economic Outlook," Monitoring of Russia's Economic Outlook. Trends and Challenges of Socio-Economic Development, Gaidar Institute for Economic Policy, issue 28, pages 1-28, June.
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• Rossen Anja, 2016, "On the Predictive Content of Nonlinear Transformations of Lagged Autoregression Residuals and Time Series Observations," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, volume 236, issue 3, pages 389-409, May, DOI: 10.1515/jbnst-2015-1019.
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