Research classified by Journal of Economic Literature (JEL) codes

1. Forecasting with DSGE Models
2. Forecasting

2017

• Khairul Kabir Sumon & Md. Sazib Miyan, 2017, "Inflation and Economic Growth: An Empirical Evidence of Bangladesh (1986-2016)," International Journal of Economics and Financial Issues, Econjournals, volume 7, issue 5, pages 454-464.
• Tuyen Ngoc Nguyen & Winai Wongsurawat, 2017, "Multivariate Cointegration and Causality between Electricity Consumption, Economic Growth, Foreign Direct Investment and Exports: Recent Evidence from Vietnam," International Journal of Energy Economics and Policy, Econjournals, volume 7, issue 3, pages 287-293.
• Hossain, Akhand Akhtar & Arwatchanakarn, Popkarn, 2017, "Does Money Have a Role in Monetary Policy for Price Stability under Inflation Targeting in Thailand?," Journal of Asian Economics, Elsevier, volume 53, issue C, pages 37-55, DOI: 10.1016/j.asieco.2017.10.003.
• Grant, Angelia L. & Chan, Joshua C.C., 2017, "Reconciling output gaps: Unobserved components model and Hodrick–Prescott filter," Journal of Economic Dynamics and Control, Elsevier, volume 75, issue C, pages 114-121, DOI: 10.1016/j.jedc.2016.12.004.
• Le, Vo Phuong Mai & Meenagh, David & Minford, Patrick & Wickens, Michael, 2017, "A Monte Carlo procedure for checking identification in DSGE models," Journal of Economic Dynamics and Control, Elsevier, volume 76, issue C, pages 202-210, DOI: 10.1016/j.jedc.2017.01.009.
• Caggiano, Giovanni & Castelnuovo, Efrem & Damette, Olivier & Parent, Antoine & Pellegrino, Giovanni, 2017, "Liquidity traps and large-scale financial crises," Journal of Economic Dynamics and Control, Elsevier, volume 81, issue C, pages 99-114, DOI: 10.1016/j.jedc.2017.03.001.
• Guerini, Mattia & Moneta, Alessio, 2017, "A method for agent-based models validation," Journal of Economic Dynamics and Control, Elsevier, volume 82, issue C, pages 125-141, DOI: 10.1016/j.jedc.2017.06.001.
• Aruoba, S. Borağan & Bocola, Luigi & Schorfheide, Frank, 2017, "Assessing DSGE model nonlinearities," Journal of Economic Dynamics and Control, Elsevier, volume 83, issue C, pages 34-54, DOI: 10.1016/j.jedc.2017.07.006.
• Liu, Jing & Wei, Yu & Ma, Feng & Wahab, M.I.M., 2017, "Forecasting the realized range-based volatility using dynamic model averaging approach," Economic Modelling, Elsevier, volume 61, issue C, pages 12-26, DOI: 10.1016/j.econmod.2016.11.020.
• Mogliani, Matteo & Darné, Olivier & Pluyaud, Bertrand, 2017, "The new MIBA model: Real-time nowcasting of French GDP using the Banque de France's monthly business survey," Economic Modelling, Elsevier, volume 64, issue C, pages 26-39, DOI: 10.1016/j.econmod.2017.03.003.
• Ma, Feng & Liu, Jing & Huang, Dengshi & Chen, Wang, 2017, "Forecasting the oil futures price volatility: A new approach," Economic Modelling, Elsevier, volume 64, issue C, pages 560-566, DOI: 10.1016/j.econmod.2017.04.020.
• Fang, Libing & Yu, Honghai & Li, Lei, 2017, "The effect of economic policy uncertainty on the long-term correlation between U.S. stock and bond markets," Economic Modelling, Elsevier, volume 66, issue C, pages 139-145, DOI: 10.1016/j.econmod.2017.06.007.
• Salisu, Afees A. & Isah, Kazeem O., 2017, "Revisiting the oil price and stock market nexus: A nonlinear Panel ARDL approach," Economic Modelling, Elsevier, volume 66, issue C, pages 258-271, DOI: 10.1016/j.econmod.2017.07.010.
• Balcombe, Kelvin & Fraser, Iain, 2017, "Do bubbles have an explosive signature in markov switching models?," Economic Modelling, Elsevier, volume 66, issue C, pages 81-100, DOI: 10.1016/j.econmod.2017.06.001.
• Araichi, Sawssen & Peretti, Christian de & Belkacem, Lotfi, 2017, "Reserve modelling and the aggregation of risks using time varying copula models," Economic Modelling, Elsevier, volume 67, issue C, pages 149-158, DOI: 10.1016/j.econmod.2016.11.016.
• Fitzpatrick, Luke & Parmeter, Christopher F. & Agar, Juan, 2017, "Threshold Effects in Meta-Analyses With Application to Benefit Transfer for Coral Reef Valuation," Ecological Economics, Elsevier, volume 133, issue C, pages 74-85, DOI: 10.1016/j.ecolecon.2016.11.015.
• Tu, Yundong, 2017, "On spurious regressions with partial unit root processes," Economics Letters, Elsevier, volume 150, issue C, pages 142-145, DOI: 10.1016/j.econlet.2016.11.028.
• Xie, Tian, 2017, "Heteroscedasticity-robust model screening: A useful toolkit for model averaging in big data analytics," Economics Letters, Elsevier, volume 151, issue C, pages 119-122, DOI: 10.1016/j.econlet.2016.12.019.
• Wichman, Casey J. & Ferraro, Paul J., 2017, "A cautionary tale on using panel data estimators to measure program impacts," Economics Letters, Elsevier, volume 151, issue C, pages 82-90, DOI: 10.1016/j.econlet.2016.11.029.
• Bürgi, Constantin, 2017, "Bias, rationality and asymmetric loss functions," Economics Letters, Elsevier, volume 154, issue C, pages 113-116, DOI: 10.1016/j.econlet.2017.03.002.
• Yao, Wenying & Kam, Timothy & Vahid, Farshid, 2017, "On weak identification in structural VARMA models," Economics Letters, Elsevier, volume 156, issue C, pages 1-6, DOI: 10.1016/j.econlet.2017.03.035.
• Fosten, Jack, 2017, "Confidence intervals in regressions with estimated factors and idiosyncratic components," Economics Letters, Elsevier, volume 157, issue C, pages 71-74, DOI: 10.1016/j.econlet.2017.05.034.
• Chang, Chia-Lin & McAleer, Michael, 2017, "The correct regularity condition and interpretation of asymmetry in EGARCH," Economics Letters, Elsevier, volume 161, issue C, pages 52-55, DOI: 10.1016/j.econlet.2017.09.017.
• Guerron-Quintana, Pablo & Inoue, Atsushi & Kilian, Lutz, 2017, "Impulse response matching estimators for DSGE models," Journal of Econometrics, Elsevier, volume 196, issue 1, pages 144-155, DOI: 10.1016/j.jeconom.2016.09.009.
• Tu, Yundong & Yi, Yanping, 2017, "Forecasting cointegrated nonstationary time series with time-varying variance," Journal of Econometrics, Elsevier, volume 196, issue 1, pages 83-98, DOI: 10.1016/j.jeconom.2016.09.012.
• Massacci, Daniele, 2017, "Least squares estimation of large dimensional threshold factor models," Journal of Econometrics, Elsevier, volume 197, issue 1, pages 101-129, DOI: 10.1016/j.jeconom.2016.11.001.
• Perera, Indeewara & Koul, Hira L., 2017, "Fitting a two phase threshold multiplicative error model," Journal of Econometrics, Elsevier, volume 197, issue 2, pages 348-367, DOI: 10.1016/j.jeconom.2016.12.002.
• Gonçalves, Sílvia & McCracken, Michael W. & Perron, Benoit, 2017, "Tests of equal accuracy for nested models with estimated factors," Journal of Econometrics, Elsevier, volume 198, issue 2, pages 231-252, DOI: 10.1016/j.jeconom.2017.01.004.
• Kheifets, Igor & Velasco, Carlos, 2017, "New goodness-of-fit diagnostics for conditional discrete response models," Journal of Econometrics, Elsevier, volume 200, issue 1, pages 135-149, DOI: 10.1016/j.jeconom.2017.05.017.
• Liu, Nianqing & Vuong, Quang & Xu, Haiqing, 2017, "Rationalization and identification of binary games with correlated types," Journal of Econometrics, Elsevier, volume 201, issue 2, pages 249-268, DOI: 10.1016/j.jeconom.2017.08.007.
• Darolles, Serge & Le Fol, Gaëlle & Mero, Gulten, 2017, "Mixture of distribution hypothesis: Analyzing daily liquidity frictions and information flows," Journal of Econometrics, Elsevier, volume 201, issue 2, pages 367-383, DOI: 10.1016/j.jeconom.2017.08.014.
• Li, Jia & Todorov, Viktor & Tauchen, George & Chen, Rui, 2017, "Mixed-scale jump regressions with bootstrap inference," Journal of Econometrics, Elsevier, volume 201, issue 2, pages 417-432, DOI: 10.1016/j.jeconom.2017.08.017.
• Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017, "An empirical assessment of Optimal Monetary Policy in the Euro area," European Economic Review, Elsevier, volume 100, issue C, pages 95-115, DOI: 10.1016/j.euroecorev.2017.07.012.
• Guarin, Alexander & Lozano, Ignacio, 2017, "Credit funding and banking fragility: A forecasting model for emerging economies," Emerging Markets Review, Elsevier, volume 32, issue C, pages 168-189, DOI: 10.1016/j.ememar.2017.06.004.
• Marinelli, Carlo & d’Addona, Stefano, 2017, "Nonparametric estimates of pricing functionals," Journal of Empirical Finance, Elsevier, volume 44, issue C, pages 19-35, DOI: 10.1016/j.jempfin.2017.07.005.
• Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2017, "Forecasting the term structure of government bond yields in unstable environments," Journal of Empirical Finance, Elsevier, volume 44, issue C, pages 209-225, DOI: 10.1016/j.jempfin.2017.09.004.
• Giannoccaro, Giacomo & de Gennaro, Bernardo C. & De Meo, Emilio & Prosperi, Maurizio, 2017, "Assessing farmers' willingness to supply biomass as energy feedstock: Cereal straw in Apulia (Italy)," Energy Economics, Elsevier, volume 61, issue C, pages 179-185, DOI: 10.1016/j.eneco.2016.11.009.
• Pircalabu, A. & Hvolby, T. & Jung, J. & Høg, E., 2017, "Joint price and volumetric risk in wind power trading: A copula approach," Energy Economics, Elsevier, volume 62, issue C, pages 139-154, DOI: 10.1016/j.eneco.2016.11.023.
• Bennedsen, Mikkel, 2017, "A rough multi-factor model of electricity spot prices," Energy Economics, Elsevier, volume 63, issue C, pages 301-313, DOI: 10.1016/j.eneco.2017.02.007.
• Kakeu, Johnson & Nguimkeu, Pierre, 2017, "Habit formation and exhaustible resource risk-pricing," Energy Economics, Elsevier, volume 64, issue C, pages 1-12, DOI: 10.1016/j.eneco.2017.03.013.
• Pinheiro Neto, Daywes & Domingues, Elder Geraldo & Coimbra, António Paulo & de Almeida, Aníbal Traça & Alves, Aylton José & Calixto, Wesley Pacheco, 2017, "Portfolio optimization of renewable energy assets: Hydro, wind, and photovoltaic energy in the regulated market in Brazil," Energy Economics, Elsevier, volume 64, issue C, pages 238-250, DOI: 10.1016/j.eneco.2017.03.020.
• Zhao, Yang & Li, Jianping & Yu, Lean, 2017, "A deep learning ensemble approach for crude oil price forecasting," Energy Economics, Elsevier, volume 66, issue C, pages 9-16, DOI: 10.1016/j.eneco.2017.05.023.
• Wei, Yu & Liu, Jing & Lai, Xiaodong & Hu, Yang, 2017, "Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?," Energy Economics, Elsevier, volume 68, issue C, pages 141-150, DOI: 10.1016/j.eneco.2017.09.016.
• Kahouli, Bassem, 2017, "The short and long run causality relationship among economic growth, energy consumption and financial development: Evidence from South Mediterranean Countries (SMCs)," Energy Economics, Elsevier, volume 68, issue C, pages 19-30, DOI: 10.1016/j.eneco.2017.09.013.
• Miao, Hong & Ramchander, Sanjay & Wang, Tianyang & Yang, Dongxiao, 2017, "Influential factors in crude oil price forecasting," Energy Economics, Elsevier, volume 68, issue C, pages 77-88, DOI: 10.1016/j.eneco.2017.09.010.
• Asongu, Simplice A. & Le Roux, Sara & Biekpe, Nicholas, 2017, "Environmental degradation, ICT and inclusive development in Sub-Saharan Africa," Energy Policy, Elsevier, volume 111, issue C, pages 353-361, DOI: 10.1016/j.enpol.2017.09.049.
• Sun, Xiaolei & Yao, Xiaoyang & Wang, Jun, 2017, "Dynamic interaction between economic policy uncertainty and financial stress: A multi-scale correlation framework," Finance Research Letters, Elsevier, volume 21, issue C, pages 214-221, DOI: 10.1016/j.frl.2016.12.010.
• Ben Sita, Bernard, 2017, "Volatility patterns of the constituents of FTSE100 in the aftermath of the U.K. Brexit referendum," Finance Research Letters, Elsevier, volume 23, issue C, pages 137-146, DOI: 10.1016/j.frl.2017.02.011.
• Barrell, Ray & Karim, Dilruba & Ventouri, Alexia, 2017, "Interest rate liberalization and capital adequacy in models of financial crises," Journal of Financial Stability, Elsevier, volume 33, issue C, pages 261-272, DOI: 10.1016/j.jfs.2016.09.001.
• Erus, Burcay & Hatipoglu, Ozan, 2017, "Physician payment schemes and physician productivity: Analysis of Turkish healthcare reforms," Health Policy, Elsevier, volume 121, issue 5, pages 553-557, DOI: 10.1016/j.healthpol.2017.02.012.
• Kang, Yanfei & Hyndman, Rob J. & Smith-Miles, Kate, 2017, "Visualising forecasting algorithm performance using time series instance spaces," International Journal of Forecasting, Elsevier, volume 33, issue 2, pages 345-358, DOI: 10.1016/j.ijforecast.2016.09.004.
• Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pintér, Gábor, 2017, "Forecasting with VAR models: Fat tails and stochastic volatility," International Journal of Forecasting, Elsevier, volume 33, issue 4, pages 1124-1143, DOI: 10.1016/j.ijforecast.2017.03.001.
• Döpke, Jörg & Fritsche, Ulrich & Pierdzioch, Christian, 2017, "Predicting recessions with boosted regression trees," International Journal of Forecasting, Elsevier, volume 33, issue 4, pages 745-759, DOI: 10.1016/j.ijforecast.2017.02.003.
• Leippold, Markus & Vasiljević, Nikola, 2017, "Pricing and disentanglement of American puts in the hyper-exponential jump-diffusion model," Journal of Banking & Finance, Elsevier, volume 77, issue C, pages 78-94, DOI: 10.1016/j.jbankfin.2017.01.014.
• Adams, Zeno & Füss, Roland & Glück, Thorsten, 2017, "Are correlations constant? Empirical and theoretical results on popular correlation models in finance," Journal of Banking & Finance, Elsevier, volume 84, issue C, pages 9-24, DOI: 10.1016/j.jbankfin.2017.07.003.
• Koning, Pierre & van Sonsbeek, Jan-Maarten, 2017, "Making disability work? The effects of financial incentives on partially disabled workers," Labour Economics, Elsevier, volume 47, issue C, pages 202-215, DOI: 10.1016/j.labeco.2017.05.008.
• Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017, "How optimal is US monetary policy?," Journal of Monetary Economics, Elsevier, volume 92, issue C, pages 96-111, DOI: 10.1016/j.jmoneco.2017.09.009.
• Mokni, Khaled & Mansouri, Faysal, 2017, "Conditional dependence between international stock markets: A long memory GARCH-copula model approach," Journal of Multinational Financial Management, Elsevier, volume 42, issue , pages 116-131, DOI: 10.1016/j.mulfin.2017.10.006.
• Juneja, Januj, 2017, "Invariance, observational equivalence, and identification: Some implications for the empirical performance of affine term structure models," The Quarterly Review of Economics and Finance, Elsevier, volume 64, issue C, pages 292-305, DOI: 10.1016/j.qref.2016.08.003.
• Ramcharran, Harri, 2017, "Bank lending to small business in India: Analyzing productivity and efficiency," The Quarterly Review of Economics and Finance, Elsevier, volume 65, issue C, pages 16-24, DOI: 10.1016/j.qref.2016.06.003.
• Teye, Alfred Larm & Ahelegbey, Daniel Felix, 2017, "Detecting spatial and temporal house price diffusion in the Netherlands: A Bayesian network approach," Regional Science and Urban Economics, Elsevier, volume 65, issue C, pages 56-64, DOI: 10.1016/j.regsciurbeco.2017.04.005.
• Smimou, K., 2017, "Does gold Liquidity learn from the greenback or the equity?," Research in International Business and Finance, Elsevier, volume 41, issue C, pages 461-479, DOI: 10.1016/j.ribaf.2017.04.030.
• Tchamyou, Vanessa S. & Asongu, Simplice A., 2017, "Conditional market timing in the mutual fund industry," Research in International Business and Finance, Elsevier, volume 42, issue C, pages 1355-1366, DOI: 10.1016/j.ribaf.2017.07.072.
• Sehgal, Sanjay & Pandey, Piyush & Diesting, Florent, 2017, "Examining dynamic currency linkages amongst South Asian economies: An empirical study," Research in International Business and Finance, Elsevier, volume 42, issue C, pages 173-190, DOI: 10.1016/j.ribaf.2017.05.008.
• Shah, Said Zamin & Baharumshah, Ahmad Zubaidi & Hook, Law Siong & Habibullah, Muzafar Shah, 2017, "Nominal uncertainty, real uncertainty and macroeconomic performance in a time-varying asymmetric framework: Implications for monetary policy," Research in International Business and Finance, Elsevier, volume 42, issue C, pages 75-93, DOI: 10.1016/j.ribaf.2017.05.012.
• Halkos, George & Matsiori, Steriani, 2017, "Environmental attitude, motivations and values for marine biodiversity protection," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, volume 69, issue C, pages 61-70, DOI: 10.1016/j.socec.2017.05.009.
• Asongu, Simplice A. & Nwachukwu, Jacinta C., 2017, "The Impact of Terrorism on Governance in African Countries," World Development, Elsevier, volume 99, issue C, pages 253-270, DOI: 10.1016/j.worlddev.2017.05.023.
• Joshua C C Chan & Angelia L Grant, 2017, "Measuring the Output Gap Using Stochastic Model Specification Search," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2017-02, Jan.
• Tng Boon Hwa & Mala Raghavan & Teh Tian Huey, 2017, "Macro-Financial Effects of Portfolio Flows: Malaysia's Experience," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2017-35, May.
• Mardi Dungey & John Harvey & Pierre Siklos & Vladimir Volkov, 2017, "Signed Spillover Effects Building on Historical Decompositions," CAMA Working Papers, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University, number 2017-52, Aug.
• Zivile Zekaite & Gabe de Bondt & Elke Hahn, 2017, "Alice: A New Inflation Monitoring Tool," EcoMod2017, EcoMod, number 10414, Jul.
• Theresa Leary, 2017, "Moroccan Public Debt and Economic Growth," EcoMod2017, EcoMod, number 10590, Jul.
• Yurun Yang & Ahmet Goncu & Athanasios Pantelous, 2017, "Pairs trading with commodity futures: evidence from the Chinese market," China Finance Review International, Emerald Group Publishing Limited, volume 7, issue 3, pages 274-294, August, DOI: 10.1108/CFRI-09-2016-0109.
• SeEun Jung, 2017, "The gender wage gap and sample selection via risk attitudes," International Journal of Manpower, Emerald Group Publishing Limited, volume 38, issue 2, pages 318-335, May, DOI: 10.1108/IJM-08-2015-0136.
• Sanjay Sehgal & Sonal Babbar, 2017, "Evaluating alternative performance benchmarks for Indian mutual fund industry," Journal of Advances in Management Research, Emerald Group Publishing Limited, volume 14, issue 2, pages 222-250, May, DOI: 10.1108/JAMR-04-2016-0028.
• Chang, C-L. & McAleer, M.J., 2017, "The Correct Regularity Condition and Interpretation of Asymmetry in EGARCH," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2017-17, Jun.
• McAleer, M.J., 2017, "Stationarity and Invertibility of a Dynamic Correlation Matrix," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number TI 2017-082/III, Sep.
• Franses, Ph.H.B.F. & Janssens, E., 2017, "Spurious Principal Components," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number EI2017-31, Nov.
• Chang, C-L. & McAleer, M.J., 2017, "The Fiction of Full BEKK," Econometric Institute Research Papers, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute, number TI 2017-015/III, Jan.
• Korobilis, D, 2017, "Forecasting with many predictors using message passing algorithms," Essex Finance Centre Working Papers, University of Essex, Essex Business School, number 19565, May.
• Valentin EPURE, 2017, "Analysis of Structural Breaks in BET Index," Eco-Economics Review, Ecological University of Bucharest, Economics Faculty and Ecology and Environmental Protection Faculty, volume 3, issue 1, pages 21-34, June.
• M. Hakan Eratalay & Evgenii Vladimirov, 2017, "Mapping the Stocks in MICEX: Who Is Central in Moscow Stock Exchange?," EUSP Department of Economics Working Paper Series, European University at St. Petersburg, Department of Economics, number 2017/01, Jan.
• DorothŽe Charlier & Berang re Legendre & Anna Risch, 2017, "Fuel poverty and indoor pollution: Providing financial support vs. combatting poor housing?," Policy Papers, FAERE - French Association of Environmental and Resource Economists, number 2017.05, Sep.
• F. J. Callado-Munoz & J. Gonzalez-Chapela & N. Utrero-Gonzalez, 2017, "Analysis of Variance in Household Financial Portfolio Choice: Evidence from Spain," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, volume 67, issue 5, pages 439-459, October.
• Tomas Havranek & Zuzana Irsova & Olesia Zeynalova, 2017, "Tuition Fees and University Enrollment: A Meta-Analysis," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2017/16, Aug, revised Aug 2017.
• Jiri Witzany, 2017, "A Bayesian Approach to Backtest Overfitting," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2017/18, Sep, revised Sep 2017.
• Evzen Kocenda & Michala Moravcova, 2017, "Exchange Rate Co-movements, Hedging and Volatility Spillovers in New EU Forex Markets," Working Papers IES, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, number 2017/27, Nov, revised Nov 2017.
• Frencesco Lamperti & Andrea Roventini & Amir Sani, 2017, "Agent-based model calibration using machine learning surrogates," Documents de Travail de l'OFCE, Observatoire Francais des Conjonctures Economiques (OFCE), number 2017-09, Mar.
• Arnaud MILLIEN, 2017, "Electricity supply reliability and households decision to connect to the grid," Working Papers, FERDI, number P192, Jul.
• Arnaud MILLIEN, 2017, "Electricity supply reliability and households decision to connect to the grid," Working Papers, FERDI, number P192, Jul.
• Nikolay Gospodinov & Esfandiar Maasoumi, 2017, "General Aggregation of Misspecified Asset Pricing Models," FRB Atlanta Working Paper, Federal Reserve Bank of Atlanta, number 2017-10, Nov.
• Andrew Martinez, 2017, "Testing for Differences in Path Forecast Accuracy: Forecast-Error Dynamics Matter," Working Papers (Old Series), Federal Reserve Bank of Cleveland, number 1717, Nov, DOI: 10.26509/frbc-wp-201717.
• Manuel Gonzalez-Astudillo, 2017, "GDP Trend-cycle Decompositions Using State-level Data," Finance and Economics Discussion Series, Board of Governors of the Federal Reserve System (U.S.), number 2017-051, May, DOI: 10.17016/FEDS.2017.051.
• Yasuo Hirose & Takushi Kurozumi & Willem Van Zandweghe, 2017, "Monetary Policy and Macroeconomic Stability Revisited," Research Working Paper, Federal Reserve Bank of Kansas City, number RWP 17-1, Jan, DOI: 10.18651/RWP2017-01.
• Michael W. McCracken & Joseph McGillicuddy, 2017, "An Empirical Investigation of Direct and Iterated Multistep Conditional Forecasts," Working Papers, Federal Reserve Bank of St. Louis, number 2017-40, Nov, DOI: 10.20955/wp.2017.040.
• Giampiero M. Gallo & Edoardo Otranto, 2017, "Combining Sharp and Smooth Transitions in Volatility Dynamics: a Fuzzy Regime Approach," Econometrics Working Papers Archive, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", number 2017_05, Aug.
• Peter Willemé, 2017, "Working Paper 14-17 - Modelling unobserved heterogeneity in distribution - Finite mixtures of the Johnson family of distributions," Working Papers, Federal Planning Bureau, Belgium, number 201714, Aug.
• Paolo Brunori & Vito Peragine & Laura Serlenga, 2017, "Upward and downward bias when measuring inequality of opportunity," Working Papers - Economics, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa, number wp2017_02.rdf.
• Căpățînă Adrian-Nicolae, 2017, "Evaluarea riscului unui portofoliu de acțiuni utilizând metoda Value at Risk," Journal of Financial Studies, Institute of Financial Studies, volume 3, issue 2, pages 140-156, June.
• Jan Kiviet & Milan Pleus & Rutger Poldermans, 2017, "Accuracy and Efficiency of Various GMM Inference Techniques in Dynamic Micro Panel Data Models," Econometrics, MDPI, volume 5, issue 1, pages 1-54, March.
• Chia-Lin Chang & Michael McAleer, 2017, "A Simple Test for Causality in Volatility," Econometrics, MDPI, volume 5, issue 1, pages 1-5, March.
• Vardan Baghdasaryan & Giovanna Iannantuoni & Valeria Maggian, 2017, "Electoral fraud and voter turnout: An experimental study," Working Papers, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon, number 1716.
• Vugar Rahimov & Nigar Jafarova & Fuad Ganbarov, 2017, "The Exchange Rate Pass-Through to CPI and its components in Oil-Exporting CIS Countries," IHEID Working Papers, Economics Section, The Graduate Institute of International Studies, number 06-2017, Feb.
• Maike Hohberg & Katja Landau & Thomas Kneib & Stephan Klasen & Walter Zucchini, 2017, "Vulnerability to poverty revisited: flexible modeling and better predictive performance," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers, Courant Research Centre PEG, number 240, Nov.
• Francesco Lamperti & Andrea Roventini & Amir Sani, 2017, "Agent-Based Model Calibration using Machine Learning Surrogates," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number hal-01499344, Apr.
• Rémy Herrera & Zhiming Long, 2017, "Capital accumulation, profit rates and cycles in China from 1952 to 2014: lessons from the evolution of Chinese industry," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number hal-03233297, DOI: 10.3917/jie.pr1.0010.
• Monica Billio & Lorenzo Frattarolo & Dominique Guegan, 2017, "Multivariate Reflection Symmetry of Copula Functions," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers), HAL, number halshs-01592147, Jul.
• Christophe Gouel & Nicolas Legrand, 2017, "Estimating the Competitive Storage Model with Trending Commodity Prices," Post-Print, HAL, number hal-01584507, DOI: 10.1002/jae.2553.
• Serge Darolles & Gaëlle Le Fol & Gulten Mero, 2017, "Mixture of Distribution Hypothesis: Analyzing daily liquidity frictions and information flows," Post-Print, HAL, number hal-01593402, DOI: 10.1016/j.jeconom.2017.08.014.
• Dorothée Charlier & Bérangère Legendre & Anna Risch, 2017, "Fuel poverty and indoor pollution: Providing financial support vs. combatting poor housing?," Post-Print, HAL, number hal-02098045, Sep.
• Bilel Sanhaji, 2017, "Testing for nonlinearity in conditional covariances," Post-Print, HAL, number hal-02879361, DOI: 10.1515/jtse-2016-0010.
• Marie-Ange Véganzonès-Varoudakis & Hoang Thanh Mai Nguyen, 2017, "Investment Climate, Outward Orientation and Manufacturing Firms’ Productivity: New Empirical Evidence," Post-Print, HAL, number hal-03049286, Jun.
• Marie-Ange Véganzonès-Varoudakis & Hoang Thanh Mai Nguyen, 2017, "Investment Climate, Outward Orientation and Manufacturing Firms’ Productivity: New Empirical Evidence," Post-Print, HAL, number hal-03049290, Nov.
• Rémy Herrera & Zhiming Long, 2017, "Capital accumulation, profit rates and cycles in China from 1952 to 2014: lessons from the evolution of Chinese industry," Post-Print, HAL, number hal-03233297, DOI: 10.3917/jie.pr1.0010.
• Sylvain Barde, 2017, "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Post-Print, HAL, number hal-03471817, Mar, DOI: 10.1007/s10614-016-9617-9.
• Muhammad Khan & Nikolay Nenovsky, 2017, "Monetary Regimes and External Shocks Reaction: Empirical Investigations on Eastern European Economies," Post-Print, HAL, number hal-03831265.
• Bilel Sanhaji, 2017, "Testing for Nonlinearity in Conditional Covariances," Post-Print, HAL, number hal-04218462, Jan, DOI: 10.1515/jtse-2016-0010.
• Monica Billio & Lorenzo Frattarolo & Dominique Guegan, 2017, "Multivariate Reflection Symmetry of Copula Functions," Post-Print, HAL, number halshs-01592147, Jul.
• Giovanni Caggiano & Efrem Castelnuovo & Olivier Damette & Antoine Parent & Giovanni Pellegrino, 2017, "Liquidity traps and large-scale financial crises," Post-Print, HAL, number halshs-01675562, Aug, DOI: 10.1016/j.jedc.2017.03.001.
• Andrew Phiri, 2017, "Threshold convergence between the federal fund rate and South African equity returns around the colocation period," Post-Print, HAL, number halshs-01861727, DOI: 10.15208/beh.2017.01.
• Francesco Lamperti & Andrea Roventini & Amir Sani, 2017, "Agent-Based Model Calibration using Machine Learning Surrogates," Sciences Po Economics Publications (main), HAL, number hal-01499344, Apr.
• Sylvain Barde, 2017, "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Sciences Po Economics Publications (main), HAL, number hal-03471817, Mar, DOI: 10.1007/s10614-016-9617-9.
• Francesco Lamperti & Andrea Roventini & Amir Sani, 2017, "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers, HAL, number hal-01499344, Apr.
• Francesco Lamperti & Andrea Roventini & Amir Sani, 2017, "Agent-Based Model Calibration using Machine Learning Surrogates," Working Papers, HAL, number hal-03458875, Mar.
• Vardan Baghdasaryan & Giovanna Iannantuoni & Valeria Maggian, 2017, "Electoral Fraud and Voter Turnout: An experimental study," Working Papers, HAL, number halshs-01511596, DOI: 10.2139/ssrn.2696203.
• Sanjay Sehgal & Piyush Pandey & Florent Deisting, 2017, "Time Varying Integration amongst the South Asian Equity Markets: An Empirical Study," Working papers of CATT, HAL, number hal-01885142, Apr.
• Waernbaum, Ingeborg & Pazzagli, Laura, 2017, "Model misspecification and bias for inverse probability weighting and doubly robust estimators," Working Paper Series, IFAU - Institute for Evaluation of Labour Market and Education Policy, number 2017:23, Dec.
• Takeuchi-Nogimori, Asuka, 2017, "An Empirical Analysis of Nikkei 225 Options Using Realized GARCH Models," Economic Review, Hitotsubashi University, volume 68, issue 2, pages 97-113, April, DOI: 10.15057/28531.
• Sonia Benito Muela & Carmen López-Martín & Mª Ángeles Navarro, 2017, "The Role of the Skewed Distributions in the Framework of Extreme Value Theory (EVT)," International Business Research, Canadian Center of Science and Education, volume 10, issue 11, pages 88-102, November.
• Andrew Phiri, 2017, "Long-run equilibrium adjustment between inflation and stock market returns in South Africa: a nonlinear perspective," International Journal of Sustainable Economy, Inderscience Enterprises Ltd, volume 9, issue 1, pages 19-33.
• Le-Yu Chen & Sokbae (Simon) Lee, 2017, "Best subset binary prediction," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies, number CWP50/17, Nov.
• Melanie N Tomintz & Bernhard Kosar & Victor M García-Barrios, 2017, "simSALUD: Design and Implementation of an Open-source Wizard based Spatial Microsimulation Framework," International Journal of Microsimulation, International Microsimulation Association, volume 10, issue 2, pages 118-143.
• Gabriel Rodriguez, 2017, "Selecting between Autoregressive Conditional Heteroskedasticity Models: An Empirical Application to the Volatility of Stock Returns in Peru," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, volume 32, issue 1, pages 69-94, April.
• Mr. Jorge A Chan-Lau & Weimin Miao & Mr. Ken Miyajima & Mr. Jongsoon Shin, 2017, "Assessing Corporate Vulnerabilities in Indonesia: A Bottom-Up Default Analysis," IMF Working Papers, International Monetary Fund, number 2017/097, Apr.
• Christian Menden & Christian R. Proaño, 2017, "Dissecting the financial cycle with dynamic factor models," IMK Working Paper, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute, number 183-2017.
• Christian R. Proaño & Artur Tarassow, 2017, "Evaluating the predicting power of ordered probit models for multiple business cycle phases in the U.S. and Japan," IMK Working Paper, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute, number 188-2017.
• Salvador Cruz Aké & Nora Gavira Durón & Reyna Susana García Ruíz, 2017, "Eficiencia de los modelos Poisson y Logístico en la asignación de probabilidades de incumplimiento a empresas mineras mexicanas," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, volume 12, issue 1, pages 1-21, Enero-Mar.
• Susanne Berger & Nathaniel Graham & Achim Zeileis, 2017, "Various Versatile Variances: An Object-Oriented Implementation of Clustered Covariances in R," Working Papers, Faculty of Economics and Statistics, Universität Innsbruck, number 2017-12, Jul.
• Pei, Zhuan & Pischke, Jörn-Steffen & Schwandt, Hannes, 2017, "Poorly Measured Confounders Are More Useful on the Left Than on the Right," IZA Discussion Papers, IZA Network @ LISER, number 10647, Mar.
• Molina Millán, Teresa & Macours, Karen, 2017, "Attrition in Randomized Control Trials: Using Tracking Information to Correct Bias," IZA Discussion Papers, IZA Network @ LISER, number 10711, Apr.
• de la Rica, Sara & Gorjón, Lucía, 2017, "Assessing the Impact of a Minimum Income Scheme in the Basque Country," IZA Discussion Papers, IZA Network @ LISER, number 10867, Jun.
• Davidescu, Adriana Anamaria & Schneider, Friedrich, 2017, "Nature of the Relationship between Minimum Wage and the Shadow Economy Size: An Empirical Analysis for the Case of Romania," IZA Discussion Papers, IZA Network @ LISER, number 11247, Dec.
• Marno Verbeek, 2017, "Using linear regression to establish empirical relationships," IZA World of Labor, Institute of Labor Economics (IZA), pages 336-336, February.
• Simon Freyaldenhoven, 2017, "A Generalized Factor Model with Local Factors," 2017 Papers, Job Market Papers, number pfr361, Nov.
• Ken Miyajima & Jorge A. Chan-Lau & Weimin Miao & Jongsoon Shin, 2017, "Assessing Corporate Vulnerabilities in Indonesia: A Bottom-Up Default Analysis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, volume 24, issue 4, pages 269-289, December, DOI: 10.1007/s10690-017-9233-2.
• Cathy W. S. Chen & Muyi Li & Nga T. H. Nguyen & Songsak Sriboonchitta, 2017, "On Asymmetric Market Model with Heteroskedasticity and Quantile Regression," Computational Economics, Springer;Society for Computational Economics, volume 49, issue 1, pages 155-174, January, DOI: 10.1007/s10614-015-9550-3.
• Sylvain Barde, 2017, "A Practical, Accurate, Information Criterion for Nth Order Markov Processes," Computational Economics, Springer;Society for Computational Economics, volume 50, issue 2, pages 281-324, August, DOI: 10.1007/s10614-016-9617-9.
• Cristina Muñiz & Plácido Rodríguez & María José Suárez, 2017, "Participation in cultural activities: specification issues," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, volume 41, issue 1, pages 71-93, February, DOI: 10.1007/s10824-015-9261-6.
• Ranoua Bouchouicha & Ferdinand M. Vieider, 2017, "Accommodating stake effects under prospect theory," Journal of Risk and Uncertainty, Springer, volume 55, issue 1, pages 1-28, August, DOI: 10.1007/s11166-017-9266-y.
• Chih-Chen Hsu & An-Sing Chen & Shih-Kuei Lin & Ting-Fu Chen, 2017, "The affine styled-facts price dynamics for the natural gas: evidence from daily returns and option prices," Review of Quantitative Finance and Accounting, Springer, volume 48, issue 3, pages 819-848, April, DOI: 10.1007/s11156-016-0569-x.
• Meng-Wen Wu & Chung-Hua Shen & Ting-Hsuan Chen, 2017, "Application of multi-level matching between financial performance and corporate social responsibility in the banking industry," Review of Quantitative Finance and Accounting, Springer, volume 49, issue 1, pages 29-63, July, DOI: 10.1007/s11156-016-0582-0.
• Iulian Lolea, 2017, "Where did the GARCH Models Perform Best in Terms of Volatility Forecasting? Equity vs. Commodities Markets," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, volume 3, issue 3, pages 79-86, September.
• Hiroyuki Watanabe, 2017, "A Pragmatic Method for Model-Selection Based on the Widely Applicable Bayesian Information Criterion," Discussion Paper Series, Research Institute for Economics & Business Administration, Kobe University, number DP2017-20, Aug.
• Virág, Miklós & Nyitrai, Tamás, 2017, "Magyar vállalkozások felszámolásának előrejelzése pénzügyi mutatóik idősorai alapján
  [Predicting the liquidation of Hungarian firms using a time series of their financial ratios]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), volume 0, issue 3, pages 305-324, DOI: 10.18414/KSZ.2017.3.305.
• Evzen Kocenda & Karen Poghosyan, 2017, "Export sophistication: A dynamic panel data approach," KIER Working Papers, Kyoto University, Institute of Economic Research, number 980 Classification-C52; C, Nov.
• Marisol Valencia Cárdenas & Juan Gabriel Vanegas López & Juan Carlos Correa Morales & Jorge Aníbal Restrepo Morales, 2017, "Comparing forecasts for tourism dynamics in Medellín, Colombia," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 86, pages 199-230, Enero - J, DOI: 10.17533/udea.le.n86a08.
• Anh Dinh Minh Nguyen, 2017, "U.K. Monetary Policy under Inflation Targeting," Bank of Lithuania Working Paper Series, Bank of Lithuania, number 41, Mar.
• Martin Boyer & Philippe De Donder & Claude Fluet & Marie-Louise Leroux & Pierre-Carl Michaud, 2017, "Long-term Care Insurance: Knowledge Barriers, Risk Perception and Adverse Selection," Cahiers de recherche, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques, number 1701.
• Damien Échevin & Qing Li & Marc-André Morin, 2017, "Hospital Readmission is Highly Predictable from Deep Learning," Cahiers de recherche, Chaire de recherche Industrielle Alliance sur les enjeux économiques des changements démographiques, number 1705.
• Jean-Marie Dufour & Richard Luger, 2017, "Identification-robust moment-based tests for Markov-switching in autoregressive models," Cahiers de recherche, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques, number 1701.
• Magdalena Petrovska & Gani Ramadani & Nikola Naumovski & Biljana Jovanovic, 2017, "Forecasting Macedonian Inflation: Evaluation of different models for short-term forecasting," Working Papers, National Bank of the Republic of North Macedonia, number 2017-06.
• Sharif Moghaddasi, Alireza & Mousavi Jahromi, Yeganeh, 2017, "Short-run and Long-run Effects of Financial Intermediation on Economic Growth," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, volume 12, issue 1, pages 89-105, January.
• Branko Kavsek, 2017, "Using Words from Daily News Headlines to Predict the Movement of Stock Market Indices," Managing Global Transitions, University of Primorska, Faculty of Management Koper, volume 15, issue 2 (Summer, pages 109-121, DOI: 10.26493/1854-6935.15.109-121.
• Andrew Phiri, 2017, "The Unemployment-Stock Market Relationship in South Africa: Evidence from Symmetric and Asymmetric Cointegration Models," Managing Global Transitions, University of Primorska, Faculty of Management Koper, volume 15, issue 3 (Fall), pages 231-254, DOI: 10.26493/1854-6935.15.231-254.
• Andrew Phiri, 2017, "The Feldstein-Horioka puzzle and the global financial crisis: Evidence from South Africa using asymmetric cointegation analysis," Working Papers, Department of Economics, Nelson Mandela University, number 1701, May, revised May 2017.
• Andrew Phiri, 2017, "Has the South African Reserve Bank responded to equity returns since the sub-prime crisis? An asymmetric convergence appraoch," Working Papers, Department of Economics, Nelson Mandela University, number 1709, Aug, revised Aug 2017.
• Andrew Phiri, 2017, "Threshold convergence between the Federal fund rate and South African equity returns around the colocation period," Working Papers, Department of Economics, Nelson Mandela University, number 1710, Aug, revised Aug 2017.
• Guillaume Bernis & Nicolas Brunel & Antoine Kornprobst & Simone Scotti, 2017, "Stochastic Evolution of Distributions - Applications to CDS indices," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 17007, Jan.
• Arnaud Millien, 2017, "Electricity supply reliability and households decision to connect to the grid," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 17031, Jun.
• Monica Billio & Lorenzo Frattarolo & Dominique Guegan, 2017, "Multivariate Reflection Symmetry of Copula Functions," Documents de travail du Centre d'Economie de la Sorbonne, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne, number 17033, Jul.
• Bin Jiang & George Athanasopoulos & Rob J Hyndman & Anastasios Panagiotelis & Farshid Vahid, 2017, "Macroeconomic forecasting for Australia using a large number of predictors," Monash Econometrics and Business Statistics Working Papers, Monash University, Department of Econometrics and Business Statistics, number 2/17.
• Raúl de Jesús Gutiérrez & Edgar Ortiz & Oswaldo García Salgado, 2017, "Los efectos de largo plazo de la asimetría y persistencia en la predicción de la volatilidad: evidencia para mercados accionarios de América Latina," Contaduría y Administración, Accounting and Management, volume 62, issue 4, pages 1063-1080, Octubre-D.
• Raúl de Jesús Gutiérrez & Edgar Ortiz & Oswaldo García Salgado, 2017, "Long-term effects of the asymmetry and persistence of the prediction of volatility: Evidence for the equity markets of Latin America," Contaduría y Administración, Accounting and Management, volume 62, issue 4, pages 1081-1099, Octubre-D.
• Hunt Allcott & Matthew Gentzkow, 2017, "Social Media and Fake News in the 2016 Election," NBER Working Papers, National Bureau of Economic Research, Inc, number 23089, Jan.
• Joachim Freyberger & Andreas Neuhierl & Michael Weber, 2017, "Dissecting Characteristics Nonparametrically," NBER Working Papers, National Bureau of Economic Research, Inc, number 23227, Mar.
• Zhuan Pei & Jörn-Steffen Pischke & Hannes Schwandt, 2017, "Poorly Measured Confounders are More Useful on the Left Than on the Right," NBER Working Papers, National Bureau of Economic Research, Inc, number 23232, Mar.
• Cristina Amado & Annastiina Silvennoinen & Timo Teräsvirta, 2017, "Modelling and forecasting WIG20 daily returns," NIPE Working Papers, NIPE - Universidade do Minho, number 09/2017.
• Ke, Wen-Chyan & Lin, Hsiou-Wei William, 2017, "An Improved Version of the Volume-Synchronized Probability of Informed Trading," Critical Finance Review, now publishers, volume 6, issue 2, pages 357-376, September, DOI: 10.1561/104.00000046.
• Francesca Rondina, 2017, "Model Uncertainty and the Direction of Fit of the Postwar U.S. Phillips Curve(s)," Working Papers, University of Ottawa, Department of Economics, number 1702E.
• Francine Gresnigt & Erik Kole & Philip Hans Franses, 2017, "Specification Testing in Hawkes Models," Journal of Financial Econometrics, Oxford University Press, volume 15, issue 1, pages 139-171.
• Francesco Calvori & Drew Creal & Siem Jan Koopman & André Lucas, 2017, "Testing for Parameter Instability across Different Modeling Frameworks," Journal of Financial Econometrics, Oxford University Press, volume 15, issue 2, pages 223-246.
• Erik Kole & Thijs Markwat & Anne Opschoor & Dick van Dijk, 2017, "Forecasting Value-at-Risk under Temporal and Portfolio Aggregation," Journal of Financial Econometrics, Oxford University Press, volume 15, issue 4, pages 649-677.
• Joshua D. Angrist & Peter D. Hull & Parag A. Pathak & Christopher R. Walters, 2017, "Leveraging Lotteries for School Value-Added: Testing and Estimation," The Quarterly Journal of Economics, President and Fellows of Harvard College, volume 132, issue 2, pages 871-919.
• Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2017, "Measuring the Sensitivity of Parameter Estimates to Estimation Moments," The Quarterly Journal of Economics, President and Fellows of Harvard College, volume 132, issue 4, pages 1553-1592.
• Joshua D. Angrist & Peter D. Hull & Parag A. Pathak & Christopher R. Walters, 2017, "Erratum to “Leveraging Lotteries for School Value-Added: Testing and Estimation”," The Quarterly Journal of Economics, President and Fellows of Harvard College, volume 132, issue 4, pages 2061-2062.
• Leonardo Melosi, 2017, "Signalling Effects of Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, volume 84, issue 2, pages 853-884.