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Munich Personal RePEc Archive

Items where Subject is "E37 - Forecasting and Simulation: Models and Applications"

Group by: Creators Name | Language
Number of items at this level: 407.

Azerbaijani

Huseynov, Salman and Ahmadov, Vugar (2014): Azərbaycan üzrə DSÜT modeli: qiymətləndirmə və proqnozlaşdırma.

Chinese

dong, congcong (2006): 世界经济长波导论:对危机与萧条的研究及预测.

Czech

Melecky, Ales and Melecky, Martin (2012): Vliv makroekonomických šoků na dynamiku vládního dluhu: jak robustní je fiskální pozice České republiky?

English

Accolley, Delali (2018): Accounting for Busines Cycles in Canada: II. The Role of Money.

Accolley, Delali (2016): Physical and Human Capital over the Business Cycle.

Ackon, Kwabena Meneabe (2015): US Domestic Money, Output, Inflation and Unemployment. Forthcoming in:

Acuña, Andrés and Oyarzún, Carlos (2005): Money and real fluctuations in the Chilean economy. Published in: Economía y Administración , Vol. 42, No. 65 (December 2005): pp. 55-79.

Aguiar-Conraria, Luis and Brinca, Pedro and Gudjonsson, Haukur and Soares, Joana (2015): Optimal currency area and business cycle synchronization across U.S. states.

Ahec Šonje, Amina and Katarina, Bacic (2006): A composite leading indicator for a small transition economy: the case of Croatia.

Akande, Emmanuel (2013): Investment Shocks: Sources of Fluctuations in Small Open Economy. Published in: Economic and Business Review , Vol. 15, No. 3 (October 2013): pp. 213-232.

Albers, Scott (2019): An attitude of complexity: thirteen essays on the nature and construction of reality under the challenge of Zeno's Paradox.

Albers, Scott and Albers, Andrew L. (2011): The Golden Mean, the Arab Spring and a 10-step analysis of American economic history. Published in: The Middle East Studies Online Journal , Vol. 3, No. 6 (3 August 2011): pp. 199-253.

Albers, Scott and Albers, Andrew L. (2012): On the mathematic prediction of economic and social crises: toward a harmonic interpretation of the Kondratiev wave.

Alfaro, Rodrigo and Sagner, Andres (2010): Financial Forecast for the Relative Strength Index.

Aliyu, Shehu Usman Rano (2009): Oil Price Shocks and the Macroeconomy of Nigeria: A Non-linear Approach.

Aliyu, Shehu Usman Rano and Englama, Abwaku (2009): Is Nigeria Ready for Inflation Targeting?

Alkhareif, Ryadh M. and Barnett, William A. (2020): Nowcasting Real GDP for Saudi Arabia.

Alnaa, Samuel Erasmus and Matey, Juabin (2024): Financial Deepening in Ghana; Does Macroeconomics Matter. Published in: International Journal of Scientific Research in Multidisciplinary Studies , Vol. 10, No. 04 (30 April 2024): pp. 39-46.

Andreou, A. S. and Zombanakis, George A. and Likothanassis, S. D. and Georgakopoulos, E. (1998): Modeling And Forecasting Exchange-Rate Shocks. Published in: Proceedings of the 60th BNP/Applied Econometrics Association , Vol. 1, No. Special Issue on Financial Instruments and Emerging Markets (6 June 1998): pp. 1-29.

Andriantomanga, Zo (2023): The role of survey-based expectations in real-time forecasting of US inflation.

Anwar, Dr. Mumtaz and Shabbir, Dr. Ghulam and Shahid, M. Hassam and Samreen, Wajiha (2015): Determinants of Potato Prices and its Forecasting: A Case Study of Punjab, Pakistan.

Ardakani, Omid and Kishor, N. Kundan (2014): Examining the Success of the Central Banks in Inflation Targeting Countries: The Dynamics of Inflation Gap and the Institutional Characteristics.

Armstrong, J. Scott and C., Michael (1972): A Comparative Study of Methods for Long-Range Market Forecasting. Published in: Management Science No. 19 (1972): pp. 211-221.

Arora, Vipin (2014): Estimates of the Price Elasticities of Natural Gas Supply and Demand in the United States.

Arora, Vipin (2018): Natural Gas and the US Economy: Some Preliminary Rules of Thumb.

Arora, Vipin and Lieskovsky, Jozef (2013): Natural Gas and U.S. Economic Activity.

Artiach, Miguel (2012): Leverage, skewness and amplitude asymmetric cycles.

AsadUllah, Muhammad and Mujahid, Hira and I. Tabash, Mosab and Ayubi, Sharique and Sabri, Rabia (2020): Forecasting indian rupee/us dollar: arima, exponential smoothing, naïve, nardl, combination techniques. Published in: Academy of Accounting and Financial Studies Journal , Vol. 25, No. 3 (April 2021)

Asafo, Shuffield Seyram (2019): Exchange Rate Pass-through to Prices : Bayesian VAR Evidence for Ghana. Forthcoming in:

Augustyniak, Hanna and Leszczyński, Robert and Łaszek, Jacek and Olszewski, Krzysztof and Waszczuk, Joanna (2014): On the dynamics of the primary housing market and the forecasting of house prices.

Augustyniak, Hanna and Łaszek, Jacek and Olszewski, Krzysztof and Waszczuk, Joanna (2014): Housing market cycles – a disequilibrium model and its application to the primary housing market in Warsaw. Published in: Ekonomia No. 35 (2014): pp. 5-23.

BLINOV, Sergey (2017): Economic Forecasting Based on the Relationship between GDP and Real Money Supply.

BLINOV, Sergey (2015): How to Double Russia’s GDP.

Barnett, William A. and Duzhak, Evgeniya (2006): Non-Robust Dynamic Inferences from Macroeconometric Models: Bifurcation Stratification of Confidence Regions.

Barnett, William A. and Duzhak, Evgeniya A. (2008): Empirical assessment of bifurcation regions within new Keynesian models.

Barnett, William A. and Duzhak, Evgeniya A. (2014): Structural Stability of the Generalized Taylor Rule.

Barnett, William A. and Eryilmaz, Unal (2012): Hopf bifurcation in the Clarida, Gali, and Gertler model.

Barnett, William A. and Eryilmaz, Unal (2022): Monetary Policy and Determinacy: An Inquiry in Open Economy New Keynesian Framework.

Barnett, William A. and Eryilmaz, Unal (2012): An analytical and numerical search for bifurcations in open economy New Keynesian models.

Barnett, William A. and He, Susan (2009): Existence of Singularity Bifurcation in an Euler-Equations Model of the United States Economy: Grandmont was Right.

Barrera, Carlos (2022): Characterizing the Anchoring Effects of Official Forecasts on Private Expectations.

Barrera Chaupis, Carlos (2016): Expectations' Dispersion & Convergence towards Central Banks' IR forecasts: Chile, Colombia, Mexico, Peru & United Kingdom, 2004-2014.

Barrie, Mohamed Samba and Jackson, Emerson Abraham (2022): Impact of Technological Shock on the Sierra Leone Economy: A Dynamic Stochastic General Equilibrium (DSGE) Approach. Published in: Economic Insights - Trends and Challenges , Vol. 12, No. 2 (28 September 2022): pp. 1-19.

Bataa, Erdenebat (2012): The Composite Leading Indicator of Mongolia.

Belanger, Gilles (2016): Inequality Causes Recessions: A Fallout from Ramsey's Conjecture.

Belhadj, ARAM and Bouguezzi, WAJDI and Jedlane, NABIL (2009): A Common Monetary Policy For The Maghreb: The Winners and The Losers?

Bell, Peter N (2010): Introduction of the Profit Surface.

Bell, William Paul (2008): Adaptive interactive profit expectations using small world networks and runtime weighted model averaging. Published in: Biomedical Applications of Micro- and Nanoengineering IV and Complex Systems (Proceedings Volume) , Vol. 7270, (30 December 2008)

Benchimol, Jonathan (2016): Money and monetary policy in Israel during the last decade. Published in: Journal of Policy Modeling , Vol. 38, No. 1 (9 February 2016): pp. 103-124.

Benhima, Kenza and Bolliger, Elio (2022): Do Local Forecasters Have Better Information?

Berg, Tim Oliver (2015): Multivariate Forecasting with BVARs and DSGE Models.

Bessonovs, Andrejs (2011): GDP Modelling with Factor Model: an Impact of Nested Data on Forecasting Accuracy.

Bezemer, Dirk J (2009): “No One Saw This Coming”: Understanding Financial Crisis Through Accounting Models.

Bhattacharya, Rudrani and Sen Gupta, Abhijit (2017): Drivers and Impact of Food Inflation in India. Published in: Macroeconomics and Finance in Emerging Market Economies , Vol. 2, No. 11 (May 2018): pp. 146-168.

Bilgili, Faik (2011): City price convergence in Turkey with structural breaks.

Bilgili, Faik (2000): Forecasting the Macro Targets of Turkish Economy for the Year 2000: An Application of Box-Jenkins and Exponential Smoothing Methods. Published in: Dokuz Eylül University, Faculty of Economics and Administrative Sciences Journal , Vol. 15, No. 2 (March 2000): pp. 85-99.

Bilgili, Faik and Mugaloglu, Erhan and Koçak, Emrah (2018): The impact of oil prices on CO2 emissions in China: A Wavelet coherence approach.

Boer, Lukas and Pescatori, Andrea and Stuermer, Martin (2021): Energy Transition Metals.

Bongers, Anelí and Molinari, Benedetto and Torres, José L. (2022): Computers, Programming and Dynamic General Equilibrium Macroeconomic Modeling.

Boschi, Melisso and Girardi, Alessandro (2005): Does one monetary policy fit all? the determinants of inflation in EMU countries. Published in: Current Politics and Economics of Europe , Vol. 1/2, No. 19 (January 2008): pp. 31-62.

Branimir, Jovanovic and Magdalena, Petrovska (2010): Forecasting Macedonian GDP: Evaluation of different models for short-term forecasting. Published in: National Bank of the Republic of Macedonia Working Paper (August 2010)

Brinca, Pedro and Costa-Filho, João and Loria, Francesca (2020): Business Cycle Accounting: what have we learned so far?

Brinca, Pedro and Iskrev, Nikolay and Loria, Francesca (2018): On Identification Issues in Business Cycle Accounting Models.

Brinca, Pedro and João, Costa-Filho (2021): Output falls and the international transmission of crises.

Brissimis, Sophocles and Migiakis, Petros (2011): Inflation persistence and the rationality of inflation expectations.

Bruno, Giancarlo and Malgarini, Marco (2002): An Indicator of Economic Sentiment for the Italian Economy.

Buncic, Daniel and Melecky, Martin (2007): An estimated New Keynesian policy model for Australia.

Cavallari, Lilia (2012): Markups and Entry in a DSGE Model.

Cebula, Richard (2014): An Investigation into the Impact of Federal Government Budget Deficits on the Ex Ante Real Interest Rate Yield on Treasury Notes in the U.S.

Chan, Joshua and Koop, Gary and Potter, Simon (2012): A new model of trend inflation.

Chang, Chia-Lin and Franses, Philip Hans and McAleer, Michael (2013): Are Forecast Updates Progressive?

Checo, Ariadne and Pradel, Salome and Ramirez, Francisco A. (2015): Measuring the Effects of the ‘Normalization’ of US Monetary Policy on Central America and the Dominican Republic.

Chen, Nan-Kuang and Cheng, Han-Liang (2020): A Study of Financial Cycles and the Macroeconomy in Taiwan.

Christoffel, Kai and Coenen, Gunter and Warne, Anders (2007): Conditional versus unconditional forecasting with the New Area-Wide Model of the euro area.

Cobb, Marcus P A (2017): Aggregate Density Forecasting from Disaggregate Components Using Large VARs.

Cobb, Marcus P A (2017): Forecasting Economic Aggregates Using Dynamic Component Grouping.

Cobb, Marcus P A (2018): Improving Underlying Scenarios for Aggregate Forecasts: A Multi-level Combination Approach.

Cobb, Marcus P A (2017): Joint Forecast Combination of Macroeconomic Aggregates and Their Components.

Coenen, Gunter (2009): Extending the NAWM with a partial indexation mechanism linking wages and trend productivitiy.

Coenen, Gunter and Vetlov, Igor (2009): Extending the NAWM for the import content of exports.

Colasante, Annarita and Alfarano, Simone and Camacho-Cuena, Eva and Gallegati, Mauro (2016): Long-run expectations in a Learning-to-Forecast Experiment.

Costa Junior, Celso Jose and Sampaio, Armando Vaz and Gonçalves, Flávio de Oliveria (2012): Income Transfer as Model of Economic Growth. Published in: Revista Economia & Tecnologia , Vol. 8, (2012): pp. 17-32.

Cruz, Christopher John and Mapa, Dennis (2013): An Early Warning System for Inflation in the Philippines Using Markov-Switching and Logistic Regression Models.

D'Agostino, A and Surico, P (2007): Does global liquidity help to forecast US inflation? Forthcoming in:

D'Agostino, Antonello and McQuinn, Kieran and Whelan, Karl (2011): Are some forecasters really better than others?

D'Amuri, Francesco and Marcucci, Juri (2009): "Google it!" Forecasting the US unemployment rate with a Google job search index.

D'Ecclesia, Rita Laura and Gallo, Crescenzio (2002): Price-caps and Efficient Pricing for the Electricity Italian Market. Published in: Quaderni del Dipartimento di Matematica Statistica, Informatica ed Applicazioni No. 5 (2002)

Dahem, Ahlem (2015): Short term Bayesian inflation forecasting for Tunisia. Published in: ECOFORUM JOURNAL , Vol. 5, No. 1 (8) (2016)

Dale, Charles (1990): From Kondratieff to Chaos: Some Perspectives on Long-Term and Short-Term Business Cycles. Published in: Futures Research Quarterly , Vol. 6, No. 4 (1990): pp. 71-83.

Damdinsuren, Batnyam and Doojav, Gan-Ochir and Łyziak, Tomasz (2008): Small Inflation Model of Mongolia (SIMOM).

Dasgupta, Dipak and Dubey, R.N. and Sathish, R (2011): Domestic Wheat Price Formation and Food Inflation in India. Published in: Working Paper Series, MOF, India No. Working Paper No. 2, 2011 (15 May 2011): pp. 1-58.

Degiannakis, Stavros and Filis, George (2020): Oil price assumptions for macroeconomic policy.

Delavari, Majid and Gandali Alikhani, Nadiya and Naderi, Esmaeil (2013): Does long memory matter in forecasting oil price volatility?

DiGabriele, Jim and Ojo, Marianne (2019): The wage growth puzzle and the Philips Curve explained: recent developments. Published in: Centre & Institute for Innovation and Sustainable Development Economic Review

Doojav, Gan-Ochir and Luvsannyam, Davaajargal (2017): Forecasting inflation in Mongolia: A dynamic model averaging approach.

Doshchyn, Artur and Giommetti, Nicola (2013): Learning, Expectations, and Endogenous Business Cycles.

Durevall, Dick and Loening, Josef (2009): Ethiopia: Updated Inflation Forecasts.

Dybczak, Kamil and Melecky, Martin (2012): EU Fiscal Stance Vulnerability: Are the Old Members the Gold Members?

Dybczak, Kamil and Melecky, Martin (2011): Macroeconomic Shocks and the Fiscal Stance within the EU: A Panel Regression Analysis.

Ellul, Reuben (2016): A real-time measure of business conditions in Malta. Published in: Central Bank of Malta working paper

Engemann, Kristie and Owyang, Michael T. and Wall, Howard J. (2011): Where is an oil shock?

Ermişoğlu, Ergun and Akcelik, Yasin and Oduncu, Arif (2013): GDP Growth and Credit Data.

Escañuela Romana, Ignacio (2011): Empirical Evidence on the Predictability of Stock Market Cycles: the Behaviour of the Dow Jones Index Industrial Average in the Stock Market Crises of 1929, 1987 and 2007.

Esquivel Monge, Manfred and Gomez Rodriguez, Jose Fabio (2010): Asymmetries of the Exchange Rate Pass Through to Domestic Prices: The Case of Costa Rica. Published in: CEMLA (June 2010)

Everett, Craig R. and Paglia, John K. (2013): Private Businesses Predict Limited Growth for 2013. Published in: Graziadio Business Review , Vol. 16, No. 1 (January 2013)

Everts, Martin (2006): Duration of Business Cycles.

Everts, Martin (2006): Sectoral and Industrial Business Cycles.

Eyler, Robert and Sonora, Robert (2010): Is a National Monetary Policy Optimal?

Fabbri, Giorgio and Iacopetta, Maurizio (2007): Dynamic Programming, Maximum Principle and Vintage Capital.

Fajar, Muhammad and Prasetyo, Octavia Rizky and Nonalisa, Septiarida and Wahyudi, Wahyudi (2020): Forecasting unemployment rate in the time of COVID-19 pandemic using Google trends data (case of Indonesia). Published in: International Journal of Scientific Research in Multidisciplinary Studies , Vol. 6, No. 11 (30 November 2020): pp. 29-33.

Falnita, Eugen and Sipos, Ciprian (2007): A multiple regression model for inflation rate in Romania in the enlarged EU. Published in: Economic integration, competition and cooperation (1 August 2007)

Farzanegan, Mohammad Reza (2012): Does the Iranian oil supply matter for the oil prices?

Fioramanti, Marco (2016): Potential Output, Output Gap and Fiscal Stance: is the EC estimation of the NAWRU too sensitive to be reliable? Forthcoming in: Italian Fiscal Policy Review , Vol. 1, (2015)

Firouzi Naeim, Peyman and Rahimzadeh, golnoush (2013): Inflation Skewness and Price Indexation.

Fokin, Nikita and Polbin, Andrey (2019): A Bivariate Forecasting Model For Russian GDP Under Structural Changes In Monetary Policy and Long-Term Growth.

Foresti, Pasquale (2006): Testing for Granger causality between stock prices and economic growth.

Fornaro, Paolo (2015): Forecasting U.S. Recessions with a Large Set of Predictors.

Franco, Ray John Gabriel and Mapa, Dennis S. (2014): The Dynamics of Inflation and GDP Growth: A Mixed Frequency Model Approach.

Freeman, Alan (2015): Heavens above: what equilibrium means for economics. With an appendix on temporality, equilibrium, endogeneity and exogeneity, in the inductive sciences and in economics.

Freeman, Alan (1997): An endogenous profit rate cycle.

Fry, J. M. (2010): Bubbles and crashes in finance: A phase transition from random to deterministic behaviour in prices.

G.K., Chetan Kumar and K.B., Rangappa and S., Suchitra (2022): Normative analysis of the impact of Covid-19 on prominent sectors of Indian economy by using ARCH Model. Published in: Theoretical and Applied Economics , Vol. 29, No. No. 2 / 2022 (631), Summer (20 June 2022): pp. 151-164.

Gallic, Ewen and Vermandel, Gauthier (2017): Weather Shocks.

Ganev, Kaloyan (2015): A Small Model for Output Gap and Potential Growth Estimation. An Application to Bulgaria.

Gao, Xu (2007): Business Cycle Accounting for the Chinese Economy.

Garnitz, Johanna and Lehmann, Robert and Wohlrabe, Klaus (2017): Forecasting GDP all over the World: Evidence from Comprehensive Survey Data.

Garratt, Anthony and Petrella, Ivan and Zhang, Yunyi (2022): Asymmetry and Interdependence when Evaluating U.S. Energy Information Administration Forecasts.

Garratt, Anthony and Petrella, Ivan and Zhang, Yunyi (2022): Asymmetry and Interdependence when Evaluating U.S. Energy Information Agency Forecasts.

Gatt, William (2014): Communicating uncertainty - a fan chart for HICP projections. Published in: Central Bank of Malta Quarterly Review 2014:2 (September 2014): pp. 40-44.

Gatt, William (2013): Forecasting inflation at the Central Bank of Malta. Published in: Central Bank of Malta Quarterly Review 2012 No. 4 (March 2013): pp. 68-71.

Gerunov, Anton (2016): Automating Analytics: Forecasting Time Series in Economics and Business.

Ghent, Andra (2006): Comparing Models of Macroeconomic Fluctuations: How Big Are the Differences?

Giannoulakis, Stelios (2015): Monetary Policy in a New Keynesian Model with Tobin’s Q Investment Theory Features.

Givens, Gregory and Salemi, Michael (2012): Inferring monetary policy objectives with a partially observed state.

Glocker, Christian and Kaniovski, Serguei (2020): Structural modeling and forecasting using a cluster of dynamic factor models.

Gogas, Periklis and Chionis, Dionisios and Pragkidis, Ioannis (2009): Predicting European Union recessions in the euro era: The yield curve as a forecasting tool of economic activity.

Goyal, Ashima (1998): Labour Market Institutions, Real Wages and Macroeconomic Outcomes. Published in: The Indian Journal of Labour Economics , Vol. 42, No. 4 (October 1999): pp. 767-783.

Grilli, Luca and Santoro, Domenico (2020): Dualism in Bitcoin Dynamics: existence of an Upper Bound in Poincaré Recurrence Theorem for Deterministic vs Stochastic Behavior.

Grilli, Luca and Santoro, Domenico (2020): Generative Adversarial Network for Market Hourly Discrimination.

Grilli, Luca and Santoro, Domenico (2020): How Boltzmann Entropy Improves Prediction with LSTM.

Grothe, Magdalena and Meyler, Aidan (2015): Inflation forecasts: Are market-based and survey-based measures informative?

Gutierrez Girault, Matias Alfredo (2008): Modeling extreme but plausible losses for credit risk: a stress testing framework for the Argentine Financial System.

Guzman, Giselle (2007): Using sentiment surveys to predict GDP growth and stock returns. Published in: The Making of National Economic Forecasts No. Edward Elgar Publishing LTD (2009): pp. 319-351.

Guzman, Giselle C. (2010): The case for higher frequency inflation expectations.

Guzman, Giselle C. (2009): An inflation expectations horserace.

Guénette, Justin Damien and Kose, M. Ayhan and Sugawara, Naotaka (2022): Is a Global Recession Imminent?

Guérin, Pierre and Leiva-Leon, Danilo (2014): Model Averaging in Markov-Switching Models: Predicting National Recessions with Regional Data.

Ha, Jongrim and Kose, Ayhan M. and Ohnsorge, Franziska (2022): From Low to High Inflation: Implications for Emerging Market and Developing Economies.

Hacıoğlu, Volkan (2015): Bayesian Expectations and Strategic Complementarity: Implications for Macroeconomic Stability. Published in: Procedia - Social and Behavioral Sciences , Vol. 195, (3 July 2015): pp. 580-291.

Haider, Adnan and Din, Musleh-ud and Ghani, Ejaz (2012): Monetary policy, informality and business cycle fluctuations in a developing economy vulnerable to external shocks.

Haider, Adnan and Hanif, Muhammad Nadeem (2007): Inflation Forecasting in Pakistan using Artificial Neural Networks.

Haider, Adnan and Safdar Ullah, Khan (2008): Estimating Output Gap for Pakistan Economy:Structural and Statistical Approaches. Published in: SBP Research Bulletin , Vol. 4, No. 1 (15 October 2008): pp. 31-60.

Hanif, Muhammad Nadim and Malik, Muhammad Jahanzeb (2015): Evaluating Performance of Inflation Forecasting Models of Pakistan. Forthcoming in: SBP Research Bulletin , Vol. 11, No. 1 (2015)

Harashima, Taiji (2024): Numerical Simulation of Economic Depression.

Harashima, Taiji (2022): A Theory of the Credit-to-GDP Gap: Using Credit Gaps to Predict Financial Crises.

Harding, Don and Kam, Timothy (2001): Perspectives on Unemployment from a General Equilibrium Search Model.

Harding, Don and Song, Lei Lei and Tran, Duy (2001): Evaluation of the Australian Industry Group / PricewaterhouseCoopers - Performance of Manufacturing Index (Ai-PMI).

Hasumi, Ryo and Iiboshi, Hirokuni and Matsumae, Tatsuyoshi and Nakamura, Daisuke (2018): Does a financial accelerator improve forecasts during financial crises?: Evidence from Japan with Prediction Pool Methods.

He, Yijun and Barnett, William A. (2006): Existence of bifurcation in macroeconomic dynamics: Grandmont was right.

Hecq, Alain and Issler, João Victor and Telg, Sean (2017): Mixed Causal-Noncausal Autoregressions with Strictly Exogenous Regressors.

Hecq, Alain and Telg, Sean and Lieb, Lenard (2016): Do Seasonal Adjustments Induce Noncausal Dynamics in Inflation Rates?

Hegadekatti, Kartik and S G, Yatish (2017): The Programmable Economy: Envisaging an Entire Planned Economic System as a Single Computer through Blockchain Networks. Published in: Economic Growth eJournal , Vol. 09, No. 58 (11 July 2017)

Heinrich, Torsten (2015): Growth Cycles, Network Effects, and Intersectoral Dependence: An Agent-Based Model and Simulation Analysis.

Henzel, Steffen and Lehmann, Robert and Wohlrabe, Klaus (2015): Nowcasting Regional GDP: The Case of the Free State of Saxony.

Hertrich, Markus (2015): Does Credit Risk Impact Liquidity Risk? Evidence from Credit Default Swap Markets. Published in: International Journal of Applied Economics , Vol. 2, No. 12 (September 2015): pp. 1-46.

Hännikäinen, Jari (2014): The mortgage spread as a predictor of real-time economic activity.

Hännikäinen, Jari (2016): The shadow rate as a predictor of real activity and inflation: Evidence from a data-rich environment.

Ichiue, Hibiki and Kurozumi, Takushi and Sunakawa, Takeki (2011): Inflation dynamics and labor market specifications: a Bayesian DSGE approach for Japan's economy.

Isiklar, Gultekin and Lahiri, Kajal and Loungani, Prakash (2006): How quickly do forecasters incorporate news? Evidence from cross-country surveys. Published in: Journal of applied econometrics , Vol. 21, (2006): pp. 703-725.

Jackson, Emerson Abraham and Tamuke, Edmund (2018): Probability Forecast Using Fan Chart Analysis: A case of the Sierra Leone Economy.

Jackson, Emerson Abraham and Tamuke, Edmund (2021): The Science and Art of Communicating Fan Chart Uncertainty: The case of Inflation Outcome in Sierra Leone.

Jackson, Emerson Abraham and Tamuke, Edmund and Jabbie, Mohamed (2019): Disaggregated Short-Term Inflation Forecast (STIF) for Monetary Policy Decision in Sierra Leone. Published in: Financial Markets, Institutions and Risk (FMIR) , Vol. 3, No. 4 (31 November 2019): pp. 36-52.

Juhro, Solikin M. and Sahminan, Sahminan and Wijoseno, Atet and Waluyo, Jati and Bathaluddin, M. Barik (2022): Central Bank Policy Mix: Policy Perspectives and Modeling Issues.

Julio, Juan Manuel (2009): The HPD Fan ChartT With Data Revision.

Kamalyan, Hayk (2021): Phase-Dependent Monetary and Fiscal Policy.

Kamalyan, Hayk (2021): The State-Dependent Effects of Monetary Policy.

Kapoor, Advik and Kaur, Vijay (2018): A novel Optimization Plan for Multiple-Area Economic Dispatch : An Electro Search Optimization Approach.

Khundrakpam, Jeevan Kumar and George, Asish Thomas (2012): An Empirical Analysis of the Relationship between WPI and PMI-Manufacturing Price Indices in India. Published in: RBI WORKING PAPER SERIES , Vol. 2013, No. W P S (DEPR): 06 (July 2013): pp. 1-17.

Kilic Celic, Sinem and Kose, M. Ayhan and Ohnsorge, Franziska (2023): Potential Growth Prospects: Risks, Rewards, and Policies.

Kilic Celik, Sinem and Kose, Ayhan M. and Ohnsorge, Franziska and Ruch, Franz (2023): Potential Growth: A Global Database.

Kim, Insu and Kim, Minsoo (2009): Irrational Bias in Inflation Forecasts.

Kimolo, Deogratius (2009): Modelling and Forecasting Inflation in Tanzania: A Univariate Time Series Analysis.

Kimolo, Deogratius (2018): Price adjustment behaviour of manufacturing and service sector firms in Tanzania: a survey evidence of price stickiness. Published in: Journal of Economics and Sustainable Development , Vol. 9, No. 24 (2018): pp. 128-158.

Kindop, Igor (2021): Ubiquitous multimodality in mixed causal-noncausal processes.

Kishor, N. Kundan (2024): Does Zillow Rent Measure Help Predict CPI Rent Inflation?

Kitchen, John and Monaco, Ralph (2003): Real-Time Forecasting in Practice: The U.S. Treasury Staff's Real-Time GDP Forecast System. Published in: Business Economics , Vol. 38, No. 4 (October 2003): pp. 10-19.

Kitov, Ivan (2009): Apples and oranges: relative growth rate of consumer price indices.

Kitov, Ivan (2007): Exact prediction of inflation and unemployment in Canada.

Kitov, Ivan (2007): Inflation, unemployment, labor force change in European countries.

Kitov, Ivan (2006): The Japanese economy.

Kitov, Ivan (2015): Modeling the price of crude oil and motor fuel: a five-year revision.

Kitov, Ivan and KItov, Oleg (2013): Inflation, unemployment, and labor force. Phillips curves and long-term projections for Japan.

Kitov, Ivan and Kitov, Oleg (2012): Sustainable trends and periodicity in consumer price indices indicate that the era of low energy prices is approaching.

Kitov, Ivan and Kitov, Oleg (2009): Sustainable trends in producer price indices.

Kitov, Ivan and Kitov, Oleg (2009): A fair price for motor fuel in the United States.

Kitov, Ivan and Kitov, Oleg and Dolinskaya, Svetlana (2007): Modelling real GDP per capita in the USA: cointegration test.

Kitov, Ivan and Kitov, Oleg and Dolinskaya, Svetlana (2007): Relationship between inflation, unemployment and labor force change rate in France: cointegration test.

Ko, Jun-Hyung (2011): Productivity shocks and housing market inflations in new Keynesian models.

Koop, Gary and Korobilis, Dimitris (2012): Large time-varying parameter VARs.

Korobilis, Dimitris (2011): Hierarchical shrinkage priors for dynamic regressions with many predictors.

Korobilis, Dimitris (2019): High-dimensional macroeconomic forecasting using message passing algorithms.

Korobilis, Dimitris (2009): VAR forecasting using Bayesian variable selection.

Kose, M. Ayhan and Ohnsorge, Franziska (2023): Slowing Growth: More than a rough Patch.

Kossov, Vladimir and Kossova, Elena (2013): The normal price. The case of the retail price of diesel fuel.

Kreiter, Zebulun and Paul, Tapas Kumar (2010): Deficit Financing and Inflation in Bangladesh: A Vector Autoregressive Analysis. Published in: The Jahangirnagar Economic Review , Vol. 21, (2010): pp. 9-26.

Kumar, Anshul (2023): A basic two-sector new Keynesian DSGE model of the Indian economy.

Kuusela, Annika and Hännikäinen, Jari (2017): What do the shadow rates tell us about future inflation?

Lahcen, Mohammed Ait (2014): DSGE models for developing economies: an application to Morocco.

Lahiri, Kajal and Liu, Fushang (2005): ARCH models for multi-period forecast uncertainty-a reality check using a panel of density forecasts. Published in: Advances in Econometrics , Vol. 20, (2005): pp. 321-363.

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Ledenyov, Dimitri O. and Ledenyov, Viktor O. (2015): General information product theory in economics science.

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Ledenyov, Dimitri O. and Ledenyov, Viktor O. (2015): Information money fields of cyclic oscillations in nonlinear dynamic economic system.

Ledenyov, Dimitri O. and Ledenyov, Viktor O. (2017): Investment in capital markets.

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Ledenyov, Dimitri O. and Ledenyov, Viktor O. (2016): Precise measurement of macroeconomic variables in time domain using three dimensional wave diagrams.

Ledenyov, Dimitri O. and Ledenyov, Viktor O. (2015): Quantum macroeconomics theory.

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Lee, David (2018): Pricing Financial Derivatives Subject to Counterparty Risk and Credit Value Adjustment.

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Lehmann, Robert and Wohlrabe, Klaus (2013): Sectoral gross value-added forecasts at the regional level: Is there any information gain?

Lehmann, Robert and Wohlrabe, Klaus (2015): The role of component-wise boosting for regional economic forecasting.

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Mansur, Alfan (2014): The Impacts of the United States Fiscal Deficit Reduction to the World Economy.

Marcelle, Chauvet and Simon, Potter (2007): Monitoring Business Cycles with Structural Breaks.

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Mukherjee, Deepraj and Kemme, David (2008): Evaluating inflation forecast models for Poland: Openness matters, money does not (but its cost does).

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Mulraine, Millan L. B. (2006): Real Exchange Rate Dynamics With Endogenous Distribution Costs.

NYONI, THABANI (2019): An ARIMA analysis of the Indian Rupee/USD exchange rate in India.

NYONI, THABANI (2019): ARIMA modeling and forecasting of Consumer Price Index (CPI) in Germany.

NYONI, THABANI (2019): ARIMA modeling and forecasting of inflation in Egypt (1960-2017).

NYONI, THABANI (2019): Analyzing CPI dynamics in Italy.

NYONI, THABANI (2019): Demystifying inflation dynamics in Rwanda: an ARMA approach.

NYONI, THABANI (2019): Forecasting Australian CPI using ARIMA models.

NYONI, THABANI (2019): Forecasting CPI in Sweden.

NYONI, THABANI (2019): Forecasting UK consumer price index using Box-Jenkins ARIMA models.

NYONI, THABANI (2019): Forecasting consumer price index in Norway: An application of Box-Jenkins ARIMA models.

NYONI, THABANI (2019): Forecasting inflation in Burkina Faso using ARMA models.

NYONI, THABANI (2019): Inflation dynamics in Jamaica: Evidence from the ARMA methodology.

NYONI, THABANI (2019): Inflation dynamics in Niger unlocked: An ARMA approach.

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NYONI, THABANI (2019): Is South Africa the South Africa we all desire? Insights from the Box-Jenkins ARIMA approach.

NYONI, THABANI (2019): Is the United States of America (USA) really being made great again? witty insights from the Box-Jenkins ARIMA approach.

NYONI, THABANI (2019): Modeling and forecasting CPI in Iran: A univariate analysis.

NYONI, THABANI (2019): Modeling and forecasting CPI in Mauritius.

NYONI, THABANI (2019): Modeling and forecasting CPI in Myanmar: An application of ARIMA models.

NYONI, THABANI (2019): Modeling and forecasting inflation in Burundi using ARIMA models.

NYONI, THABANI (2019): Modeling and forecasting inflation in Lesotho using Box-Jenkins ARIMA models.

NYONI, THABANI (2019): Modeling and forecasting inflation in Philippines using ARIMA models.

NYONI, THABANI (2019): Modeling and forecasting inflation in Tanzania using ARIMA models.

NYONI, THABANI (2019): Predicting CPI in France.

NYONI, THABANI (2019): Predicting CPI in Panama.

NYONI, THABANI (2019): Predicting CPI in Singapore: An application of the Box-Jenkins methodology.

NYONI, THABANI (2019): Predicting consumer price index in Saudi Arabia.

NYONI, THABANI (2019): Predicting inflation in Senegal: An ARMA approach.

NYONI, THABANI (2019): Predicting inflation in Sri Lanka using ARMA models.

NYONI, THABANI (2019): Predicting inflation in the Kingdom of Bahrain using ARIMA models.

NYONI, THABANI (2019): Prediction of Inflation in Algeria using ARIMA models.

NYONI, THABANI (2019): Time series modeling and forecasting of the consumer price index in Belgium.

NYONI, THABANI (2019): Time series modeling and forecasting of the consumer price index in Japan.

NYONI, THABANI (2019): Uncovering inflation dynamics in Morocco: An ARIMA approach.

NYONI, THABANI (2019): Understanding CPI dynamics in Canada.

NYONI, THABANI (2019): Understanding inflation dynamics in the United States of America (USA): A univariate approach.

NYONI, THABANI (2019): Understanding inflation patterns in Thailand: An ARMA approach.

NYONI, THABANI (2019): Understanding inflation trends in Finland: A univariate approach.

NYONI, THABANI (2019): Understanding inflation trends in Israel: A univariate approach.

NYONI, THABANI (2019): Where is Kenya being headed to? Empirical evidence from the Box-Jenkins ARIMA approach.

NYONI, THABANI and MUCHINGAMI, LOVEMORE (2019): Modeling and forecasting Botswana's Growth Domestic Product (GDP) per capita.

NYONI, THABANI and MUTONGI, CHIPO (2019): Modeling and forecasting inflation in The Gambia: an ARMA approach.

NYONI, THABANI and MUTONGI, CHIPO (2019): Modeling the long-run relationship between inflation and economic growth in Zimbabwe: a bi-variate cointegration (Engle-Granger Two-Step) approach.

NYONI, THABANI and MUTONGI, CHIPO and NYONI, MUNYARADZI and HAMADZIRIPI, OSCAR HAPANYENGWI (2019): Understanding inflation dynamics in the Kingdom of Eswatini: a univariate approach.

NYONI, THABANI and NATHANIEL, SOLOMON PRINCE (2018): Modeling rates of inflation in Nigeria: an application of ARMA, ARIMA and GARCH models.

Nkrumah, Kwabena Meneabe (2015): US Domestic Money, Output, Inflation and Unemployment.

Nyoni, Thabani (2018): Box-Jenkins ARIMA approach to predicting net FDI inflows in Zimbabwe.

Nyoni, Thabani (2018): Modeling and Forecasting Naira / USD Exchange Rate In Nigeria: a Box - Jenkins ARIMA approach.

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Olalude, Gbenga Adelekan and Olayinka, Hammed Abiola and Ankeli, Uchechi Constance (2020): Modelling and forecasting inflation rate in Nigeria using ARIMA models. Published in: KASU Journal of Mathematical Sciences , Vol. 1, No. 2 (6 January 2021): pp. 127-143.

Olkhov, Victor (2023): Economic complexity limits accuracy of price probability predictions by gaussian distributions.

Olkhov, Victor (2024): Lower bounds of uncertainty and upper limits on the accuracy of forecasts of macroeconomic variables.

Olkhov, Victor (2022): Market-Based Asset Price Probability.

Olkhov, Victor (2022): Market-Based Price Autocorrelation.

Olkhov, Victor (2023): Theoretical Economics as Successive Approximations of Statistical Moments.

Olkhov, Victor (2020): Business Cycles as Collective Risk Fluctuations.

Olkhov, Victor (2022): Introduction of the Market-Based Price Autocorrelation.

Olkhov, Victor (2022): The Market-Based Asset Price Probability.

Omay, Tolga (2008): The Term Structure of Interest Rate as a Predictor of Inflation and Real Economic Activity: Nonlinear Evidence from Turkey. Forthcoming in:

Osman, Mohammad and Jean Louis, Rosmy and Balli, Faruk (2008): Output gap and inflation nexus: the case of United Arab Emirates. Published in: International Journal of Economics and Business Research , Vol. 1, No. 1 (January 2009): pp. 118-135.

Owyang, Michael T. and Piger, Jeremy and Wall, Howard J. (2012): Forecasting national recessions using state-level data.

Pakos, Michal (2013): Long-Run Risk and Hidden Growth Persistence. Published in: Journal of Economic Dynamics and Control , Vol. 37, No. 9 (1 September 2013): pp. 1911-1928.

Palma, Nuno (2013): Did Greenspan Open Pandora's Box? Testing the Taylor Hypothesis and Beyond.

Papa, Javier and et., al. (2016): Forecasting Trade Deflators In Ireland. Published in: Ireland's Department of Finance - Technical Notes Series 12/2016 (December 2016)

Papavangjeli, Meri and Rama, Arlind (2018): A statistical evaluation of GAP's forecasting performance for the Albanian economy. Published in: Bank of Albania Working Paper Series (2018): pp. 1-28.

Perederiy, Volodymyr (2015): Endogenous derivation and forecast of lifetime PDs.

Petreski, Marjan (2013): Assessing the forecasting power of the leading composite index in Macedonia.

Phillips, Kerk L. and Spencer, David E. (2010): Bootstrapping Structural VARs: Avoiding a Potential Bias in Confidence Intervals for Impulse Response Functions. Published in: Journal of Macroeconomics , Vol. 33, No. 4 (2011): pp. 582-594.

Phiri, Andrew (2015): Examining asymmetric effects in the South African Philips curve: Evidence from logistic smooth transition regression (LSTR) models.

Pincheira, Pablo (2017): A Power Booster Factor for Out-of-Sample Tests of Predictability.

Pincheira, Pablo and Hardy, Nicolas (2022): Correlation Based Tests of Predictability.

Pincheira, Pablo and Hardy, Nicolas (2018): Forecasting Base Metal Prices with Commodity Currencies.

Pincheira, Pablo and Hardy, Nicolas (2021): The Mean Squared Prediction Error Paradox.

Pincheira, Pablo and Hardy, Nicolas (2020): The Mean Squared Prediction Error Paradox: A summary.

Pincheira, Pablo and Hardy, Nicolas (2018): The predictive relationship between exchange rate expectations and base metal prices.

Pincheira, Pablo and Hardy, Nicolas and Bentancor, Andrea and Henriquez, Cristóbal and Tapia, Ignacio (2021): Forecasting Base Metal Prices with an International Stock Index.

Pincheira, Pablo and Hardy, Nicolás (2019): Forecasting Aluminum Prices with Commodity Currencies.

Pincheira, Pablo and Hernández, Ana María (2019): Forecasting Unemployment Rates with International Factors.

Pincheira, Pablo and Jarsun, Nabil (2020): Summary of the Paper Entitled: Forecasting Fuel Prices with the Chilean Exchange Rate.

Pincheira, Pablo and Neumann, Federico (2018): Can we beat the Random Walk? The case of survey-based exchange rate forecasts in Chile.

Pincheira, Pablo and Selaive, Jorge and Nolazco, Jose Luis (2016): The Evasive Predictive Ability of Core Inflation.

Pincheira, Pablo and Selaive, Jorge and Nolazco, Jose Luis (2017): Forecasting Inflation in Latin America with Core Measures.

Podshivalov, Georgii Gordon (2022): Predicting a recession with ensemble forecasting: the Fisher Knight recession indicator.

Pönkä, Harri and Stenborg, Markku (2018): Forecasting the state of the Finnish business cycle.

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Quinn, Terry and Kenny, Geoff and Meyler, Aidan (1999): Inflation Analysis: An Overview. Published in: Central Bank and Financial Services Authority of Ireland Technical Paper Series , Vol. 1999, No. 1/RT/1999 (March 1999): pp. 1-22.

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Rizvi, Syed Kumail Abbas and Naqvi, Bushra (2009): Inflation Volatility: An Asian Perspective.

Rybacki, Jakub (2020): Polish GDP Forecast Errors: A Tale of Ineffectiveness.

Rybacki, Jakub and Gniazdowski, Michał (2021): Macroeconomic Forecasting in Poland: Lessons From the COVID-19 Outbreak.

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Saccal, Alessandro (2022): Confidence and economic activity in Europe. Published in: The IUP Journal of Applied Economics , Vol. XXI, No. 1 (3 January 2022): pp. 55-67.

Saccal, Alessandro (2023): A role for confidence: volition regimes and news.

Sen Gupta, Abhijit and Bhattacharya, Rudrani (2016): What Role Did Rising Demand Play in Driving Food Prices Up? Published in: South Asian Journal of Macroeconomics and Public Finance , Vol. 6, No. 1 (June 2017): pp. 59-81.

Sen Gupta, Abhijit and Bhattacharya, Rudrani and Rao, Narhari (2014): Understanding Food Inflation in India. Published in: South Asia Working Paper No. No. 26 (May 2014): pp. 1-35.

Shamiri, Ahmed and Shaari, Abu Hassan and Isa, Zaidi (2008): Comparing the accuracy of density forecasts from competing GARCH models.

Shin, Inyong and Kim, Hyunho and Yamamura, Eiji (2008): Technological Progress and the Future of Kuznets Curve's.

Shirai, Daichi (2016): Persistence and Amplification of Financial Frictions.

Sinha, Pankaj and Gupta, Sushant and Randev, Nakul (2010): Modeling & Forecasting of Macro-Economic Variables of India: Before, During & After Recession.

Skribans, Valerijs (2011): Development of System Dynamic Model of Latvia’s Economic Integration in the EU. Published in: Proceedings of the 29th International Conference of the System Dynamics Society (2011): pp. 1-16.

Skribans, Valerijs (2012): European Union Economy System Dynamic Model Development. Published in: Proceedings of the 30th International Conference of the System Dynamics Society (2012): pp. 3687-3697.

Skribans, Valerijs (2010): Investments model development with the system dynamic method. Published in: Social Research, Economics and Management: Current Issues and Perspectives , Vol. 2 (18), (2010): pp. 104-114.

Skribans, Valerijs (2010): Latvia’s incoming in European Union economic effect estimation. Published in: BUSINESS, MANAGEMENT AND EDUCATION 2010 No. Contemporary Regional Issues Conference Proceedings (2010)

Skufi, Lorena and Papavangjeli, Meri (2022): THE CHANGING DYNAMICS OF ALBANIAN INFLATION: A QUANTILE REGRESSION APPROACH. Published in: Bank of Albania Economic Review 2021 H2 (2022): pp. 1-8.

Soh, Ann-Ni (2020): A Review on the Leading Indicator Approach towards Economic Forecasting.

Sokolov, Yuri (2010): Business cycle effects on portfolio credit risk: A simple FX Adjustment for a factor model.

Sokolov, Yuri (2009): Interaction between market and credit risk: Focus on the endogeneity of aggregate risk.

Sokolov, Yuri (2012): Modeling risk in a dynamically changing world: from association to causation.

Solomon, Bernard Daniel (2015): Notes on Business Cycle Theory from a Dynamic Stochastic General Equilibrium Perspective.

Soybilgen, Baris (2018): Identifying US business cycle regimes using dynamic factors and neural network models.

Spelta, Alessandro and Pecora, Nicolò and Flori, Andrea and Pammolli, Fabio (2018): Transition drivers and crisis signaling in stock markets.

Stanova, Nadja (2015): Effects of fiscal shocks in new EU members estimated from a SVARX model with debt feedback.

Tabata, Katsushi and Kawaguchi, Yuichiro (2013): Real estate prices in Japan and Lewis turning point.

Tapia, Jose (2015): Profits encourage investment, investment dampens profits, government spending does not prime the pump — A DAG investigation of business-cycle dynamics.

Tausch, Arno (2013): The hallmarks of crisis. A new center-periphery perspective on long cycles.

Topan, Ligia and Castro, César and Jerez, Miguel and Barge-Gil, Andrés (2018): Oil price pass-through into inflation in Spain at national and regional level.

Vitek, Francis (2006): Measuring the Stance of Monetary Policy in a Closed Economy: A Dynamic Stochastic General Equilibrium Approach.

Vitek, Francis (2006): Monetary Policy Analysis in a Closed Economy: A Dynamic Stochastic General Equilibrium Approach.

William, Barnett and Guo, Chen (2015): Bifurcation of macroeconometric models and robustness of dynamical inferences.

Wohlrabe, Klaus and Bührig, Pascal (2015): Forecasting Revisions of German Industrial Production.

Wolters, Maik Hendrik (2012): Evaluating point and density forecasts of DSGE models.

Wong, Shirly Siew-Ling and Puah, Chin-Hong and Abu Mansor, Shazali and Liew, Venus Khim-Sen (2012): Early warning indicator of economic vulnerability.

Yashkir, Olga and Yashkir, Yuriy (2013): Monitoring of Credit Risk through the Cycle: Risk Indicators. Forthcoming in:

Yu, Eric Jinsan (2014): Predictive Power of Aggregate Short Interest.

Yusifzada, Tural (2022): Response of Inflation to the Climate Stress: Evidence from Azerbaijan. Published in: Central Bank of the Republic of Azerbaijan, Working Paper Series No. 02/2022 (January 2023): pp. 1-28.

Zhang, Hewitt and Hu, Yannan and Hu, Bo (2012): House-price crash and macroeconomic crisis: a Hong Kong case study.

Zhang, Tongbin and Hu, Bo (2011): House-Price Crash and Macroeconomic Crisis: A Hong Kong Case Study.

da Silva Filho, Tito Nícias Teixeira (2005): Is there too much certainty when measuring uncertainty.

French

Barrera, Carlos (2022): Les Prévisions des Prévisionnistes Professionnels? Perou, 2009-2017.

Khazri, Afifa (1999): Contrats salariaux, rétention de main-d’œuvre et cycle économique.

Khazri, Afifa (1999): Contrats salariaux, rétention de main-d’œuvre et cycle économique.

Khazri, Afifa (2001): Impact des chocs monétaires sur les variations du salaire réel.

Ngomba Bodi, Francis Ghislain and Bikai, Landry (2019): Les prévisions conditionnelles sont-elles plus précises que les prévisions inconditionnelles dans les projections de croissance et d’inflation en zone CEMAC ?

ODIA NDONGO, Yves Francis (2007): Les sources des fluctuations marcoéconomiques au Cameroun.

Odia Ndongo, Yves Francis (2006): Datation du Cycle du PIB Camerounais entre 1960 et 2003.

Pinshi, Christian (2016): Une perspective macroprudentielle pour la stabilité financière.

Pinshi, Christian (2017): Une perspective macroprudentielle pour la stabilité financière. Published in: MPRA , Vol. 77905, (2016): pp. 1-21.

Pinshi, Christian and Mukendi, Christian and Ndombe, Patrick (2015): Prévision du coefficient de la réserve obligatoire de la Banque centrale du Congo.

Pinshi Paula, Christian (2017): Une perspective macroprudentielle pour la stabilité financière.

Icelandic

Olafsdottir, Katrin and Sigurdsson, Kari (2007): Hversu vel tekst til með verðbólguspár greiningardeilda?

Indonesian

purba, martin (2018): Analisis Pasar Uang Pada Model Mundell-Fleming Pada Perekonomian Indonesia (Tahun 2010-2017). Published in: Jurnal Ilmiah Maksitek , Vol. 3, No. 3 (2018): pp. 16-27.

Italian

Rapacciuolo, Ciro (2003): Un semplice modello univariato per la previsione a breve termine dell'inflazione italiana. Published in: CSC Working Paper No. n. 36 - 2003 (June 2003)

Latvian

Skribans, Valerijs (2010): Latvijas iestāšanās Eiropas Savienībā ekonomiskā efekta novērtēšana. Published in: RTU zinātniskie raksti , Vol. 20, No. 3: Ekonomika un uzņēmējdarbiba (2010): pp. 108-116.

Polish

Jurdziak, Leszek (2008): METODA SZACOWANIA KOSZTÓW INWESTYCYJNYCH ORAZ EKSPLOATACYJNYCH PRZENOŚNIKÓW. Published in: Mining Science , Vol. X, No. 1 (2008): pp. 76-88.

Portuguese

Gaglianone, Wagner Piazza and Pereira, Ana Luiza Louzada (2005): Um ensaio sobre expectativas da taxa de câmbio no Brasil. Published in: Revista Brasileira de Finanças , Vol. 1, No. 1 (2005): pp. 55-100.

Russian

BLINOV, Sergey (2015): Как удвоить ВВП России.

BLINOV, Sergey (2017): Использование взаимосвязи между ВВП и денежной массой для экономического прогнозирования.

Harin, Alexander (2010): Теорема о существовании разрывов в шкале вероятностей. Дискретный случай.

Polbin, Andrey and Shumilov, Andrei (2023): Прогнозирование инфляции в России с помощью TVP-модели с байесовским сжатием параметров. Published in: Voprosy statistiki , Vol. 30, No. 4 (2023): pp. 22-32.

Tretyakov, Dmitriy and Fokin, Nikita (2020): Помогают ли высокочастотные данные в прогнозировании российской инфляции?

Spanish

Ayala, Alfonso (2011): Un modelo de predicción de crisis financieras en los mercados emergentes: 1970 – 2009.

Francisco, Ramirez (2011): Modelos de Estimación de la Brecha de Producto: Aplicación al PIB de la República Dominicana.

Frank, Luis (2023): Revisión del traslado a precios de la devaluación del tipo de cambio oficial durante el período 2017-2023 en Argentina.

Medel, Carlos A. (2014): Probabilidad Clásica de Sobreajuste con Criterios de Información: Estimaciones con Series Macroeconómicas Chilenas.

Mendoza Lugo, Omar and Pedauga, Luis Enrique (2006): Efecto transferencia (pass-through) del tipo de cambio en los precios de bienes y servicios en Venezuela. Published in: Nueva Economía , Vol. XV, No. 26

Ovalle, Raul and Ramírez, Francisco A. (2014): Reglas versus Discreción en la Política Fiscal: Introducción al caso Dominicano. Published in: Nueva Literatura Económica Dominicana (2014)

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