| Reference: | Ang, A., Bekaert, G., Wei, M. 2007.
Do macro variables, asset markets, or surveys forecast inflation better?
Journal of Monetary Economics , 54(4), 1163--1212.
Askitas, N., Zimmermann, K. F. 2009.
Google econometrics and unemployment forecasting.
Applied Economics Quarterly , 55(2), 107--120.
Atkeson, A., Ohanian, L.E. 2001.
Are Phillips curves useful for forecasting inflation?
Federal Reserve Bank of Minneapolis Quarterly Review, 25, 2--11.
Bai, J., Ng, S. 2002.
Determining the Number of factors in approximate factor models.
Econometrica , 70(1), 191--221.
Bai, J., Ng, S. 2007.
Determining the number of primitive shocks in factor models.
Journal of Business \\& Economic Statistics , 25(1), 52--60.
Basu, S., Michailidis, G. 2015.
Regularized estimation in sparse high-dimensional time series models.
The Annals of Statistics , 43(4), 1535--1567.
Bernanke, B. S., Boivin, J., Eliasz, P. 2005.
Measuring the effects of monetary policy: A factor augmented vector autoregressive (FAVAR) approach.
Quarterly Journal of Economics , 120, 387--422.
Carriere-Swallow, Y., Labbe, F. 2013.
Nowcasting with Google trends in an emerging market.
Journal of Forecasting , 32(4), 289--298.
Cavallo, A. 2013.
Online and official price indexes: Measuring Argentina’s inflation.
Journal of Monetary Economics , 60(2), 152--165.
Cecchetti, S., Chu, R., Steindel, C., 2000.
The unreliability of inflation indicators.
Federal Reserve Bank of New York Current Issues in Economics and Finance , 6, 1--6.
Chen, Y., Turnovsky, S. J., Zivot, E. 2014.
Forecasting inflation using commodity price aggregates.
Journal of Econometrics , 183(1), 117--134.
Cheung, C. 2009.
Are commodity prices useful leading indicators of inflation??
Bank of Canada Discussion Paper .
Choi, H., Varian, H. 2012.
Predicting the present with Google Trends.
Economic Record , 88(SUPPL.1), 2--9.
Clark, T. E., Mccracken, M. W. 2001.
Tests of equal forecast accuracy and encompassing for nested models.
Journal of Econometrics , 105, 85--110.
Clark, T. E., West, K. D. 2007.
Approximately normal tests for equal predictive accuracy in nested models.
Journal of Econometrics , 138(1), 291--311.
Diebold, F. X., Mariano, R. S. 1995.
Comparing predictive accuracy.
Journal of Business \\& Economic Statistics , 13(3), 253--263
Fama, E.F., Gibbons, M.R. 1984.
A comparison of inflation forecasts.
Journal of Monetary Economics , 13, 327--348.
Fisher, J.D.M., Liu, C.T., Zhou, R. 2002.
When can we forecast inflation?
Federal Reserve Bank of Chicago Economic Perspectives , 1, 30--42.
Furlong, F., Ingenito, R. 1996.
Commodity prices and inflation.
Federal Reserve Bank of San Francisco Economic Review , 27--47.
Guzman, G. 2011.
Internet search behavior as an economic forecasting tool: The case of inflation expectations.
Journal of Economic and Social Measurement , 36(3), 119--167.
Hoerl, A.E. 1962.
Application of ridge analysis to regression problems.
Chemical Engineering Progress , 58, 54--59.
Hoerl, A.E., Kennard, R.W. 1970.
Ridge regression: Biased estimation for nonorthogonal problems.
Technometrics , 12(1), 55--67.
Knotek, E. S., Zaman, S. 2014.
Nowcasting U.S. headline and core inflation.
Cleveland Fed Working Paper, No.14-03R
Mahdavi, S., Zhou, S. 1997.
Gold and commodity prices as leading indicators of inflation: Tests of long-run relationship and predictive performance.
Journal of Economics and Business , 49(5), 475--489.
Seabold, S. 2015.
Nowcasting prices using Google Trends: An application to central America.
World Bank Policy Research Working Paper, No. 7398
Stock, J., Watson, M. W. 1998.
Diffusion indexes.
NBER Working Paper, No. 6702
Stock, J., Watson, M. W.
Forecasting inflation.
Journal of Monetary Economics , 44, 293--335.
Stock, J. H., Watson, M. W. 2002.
Macroeconomic forecasting using diffusion indexes.
Journal of Business \\& Economic Statistics , 20(2), 147--162.
Stock, J. H., Watson, M. W. 2003.
Forecasting output and inflation: The role of asset prices.
Journal of Economic Literature , 41, 788--829.
Stockton, D., Glassman, J. 1987.
An evaluation of the forecast performance of alternative models of inflation.
Review of Economics and Statistics , 69, 108--117.
Tibshirani, R. 1996.
Regression shrinkage and selection via the Lasso.
Royal Statistical Society , 58(1), 267--288.
Varian, H. 2014.
Big data: New tricks for econometrics.
The Journal of Economic Perspectives , 1--36.
Vosen, S., Schmidt, T. 2011.
Forecasting private consumption: Survey-based indicators vs. Google trends.
Journal of Forecasting , 30(6), 565--578.
Zou, H., Hastie,T. 2005.
Regularization and variable selection via the elastic net.
Royal Statistical Society , 67(2), 301--320. |
