The common component of firm growth
Tài liệu tham khảo
Alessi, 2010, Improved penalization for determining the number of factors in approximate static factor models, Statistics and Probability Letters, 80, 1806, 10.1016/j.spl.2010.08.005
Alessi, 2011, Non-fundamentalness in structural econometric models: a review, International Statistical Review, 79, 16, 10.1111/j.1751-5823.2011.00131.x
Bai, 2002, Determining the number of factors in approximate factor models, Econometrica, 70, 191, 10.1111/1468-0262.00273
Blanchard, 1989, The dynamic effects of aggregate demand and supply disturbances, American Economic Review, 79, 655
Bottazzi, 2003, Common properties and sectoral specificities in the dynamics of U.S. manufacturing companies, Review of Industrial Organization, 23, 217, 10.1023/B:REIO.0000031366.28559.c1
Bottazzi, 2007, Invariances and diversities in the patterns of industrial evolution: some evidence from Italian manufacturing industries, Small Business Economics, 29, 137, 10.1007/s11187-006-0014-y
Chesher, 1979, Testing the law of proportionate effects, Journal of Industrial Economics, 27, 403, 10.2307/2097961
Christiano, 2004, The response of hours to a technology shock: evidence based on direct measures of technology, Journal of the European Economic Association, 2, 381, 10.1162/154247604323068078
Coad, 2007, A closer look at serial growth rate correlation, Review of Industrial Organization, 31, 69, 10.1007/s11151-007-9135-y
Colander, 2008, Beyond DSGE models: toward an empirically based macroeconomics, American Economic Review, 98, 236, 10.1257/aer.98.2.236
Forni, 1998, Let's get real: a factor analytical approach to disaggregated business cycle dynamics, Review of Economic Studies, 65, 453, 10.1111/1467-937X.00053
Forni, 2000, The generalized dynamic factor model: identification and estimation, The Review of Economics and Statistics, 82, 540, 10.1162/003465300559037
Forni, 2009, Opening the black box: structural factor models with large cross sections, Econometric Theory, 25, 1319, 10.1017/S026646660809052X
Fotopoulos, 2008, Gibrat's law and persistence of growth in Greek manufacturing, Small Business Economics, 35, 191, 10.1007/s11187-008-9163-5
Francis, 2005, Is the technology-driven real business cycle hypothesis dead? shocks and aggregate fluctuations revisited, Journal of Monetary Economics, 52, 1379, 10.1016/j.jmoneco.2004.08.009
Gali, 1999, Technology employment and the business cycle: do technology shocks explain aggregate fluctuations?, American Economic Review, 89, 249, 10.1257/aer.89.1.249
Geweke, J., 1978. The dynamic factor analysis of economic time series. In: Aigner, D.J., Golberger, A.S. (Eds.), Latent Variables in Socio-Economic Models. Social Systems Research Institute, University of Wisconsin-Madison.
Hallin, 2007, Determining the number of factors in the general dynamic factor model, Journal of the American Statistical Association, 102, 603, 10.1198/016214506000001275
Lippi, 1997
Reichstein, 2010, The devil dwells in the tails, Journal of Evolutionary Economics, 20, 219, 10.1007/s00191-009-0152-x
Sargent, T.J., Sims, C., 1977. Business cycle modeling without pretending to have too much a-priori economic theory. In: Sims, C., et al. (Eds.), New Methods in Business Cycle Research. Federal Reserve Bank of Minneapolis.
Stam, 2010, Growth beyond gibrat: firm growth processes and strategies, Small Business Economics, 35, 129, 10.1007/s11187-010-9294-3
Stock, 2002, Forecasting using principal components from a large number of predictors, Journal of the American Statistical Association, 97, 1167, 10.1198/016214502388618960
Sutton, 1997, Gibrat's legacy, Journal of Economic Literature, 35, 40