1,350
Views
1
CrossRef citations to date
0
Altmetric
OPERATIONS, INFORMATION & TECHNOLOGY

Estimating the production function for the Brazilian industrial sector: A Bayesian panel VAR approach

ORCID Icon
Article: 2025752 | Received 05 Oct 2017, Accepted 31 Dec 2021, Published online: 31 Jan 2022

References

  • Antonakakisa, N., Cunado, J., Filis, G., & Gracia, F. P. (2017). Oil dependence, quality of political institutions and economic growth: A panel VAR approach. Resources Policy, 53, 147–16. doi:10.1016/j.resourpol.2017.06.005
  • C. Álvarez, I., Barbero, J., & L. Zofío, J. (2016). A spatial autoregressive panel model to analyze road network spillovers on production. Transportation Research Part A, 93, 83–92. doi:10.1016/j.tra.2016.08.018
  • Christou, C., Cunado, J., Gupta, R., & Hassapis, C. (2017). Economic policy uncertainty and stock market returns in Pacific-Rim countries: Evidence based on a Bayesian Panel VAR Model. Journal of Multinational Financial Management, 40, 92–102. https://doi.org/10.1016/j.mulfin.2017.03.001
  • Doan, T., Litterman, R.B., and Sims, C.A. (1984). Forecasting and Conditional Projection Using Realistic Prior Distribution. Econometric Review, 3, 1–100. https://doi.org/10.1080/07474938408800053
  • Enders, W. (1995). Applied econometric time series. Wyley.
  • Holtz-Eakin, D. N., W. Rosen, H., & Rosen, H. S. (1988). Estimating vector autoregressive with panel data. Econometrica, 56(6), 1371–1395. https://doi.org/10.2307/1913103
  • Koop, G., & Korobilis, D. (2016). Model uncertainty in panel vector autoregressive models. European Economic Review, 81, 115–131. https://doi.org/10.1016/j.euroecorev.2015.09.006
  • LeSage, J. (1999). Applied econometrics using MATLAB. MATLAB Toolbox. https://www.spatial-econometrics.com/html/mbook.pdf
  • Levinsohn, J., & Petrin, A. (2003). Estimating production functions using inputs to control for unobservables. Review of Economic Studies, 70(2), 317–342. https://doi.org/10.1111/1467-937X.00246
  • Litterman, R. (1979). Techniques of forecasting using vector autoregressions. Federal Reserve Bank of Minneapolis Working Paper. no. 115: pdf.
  • Litterman, R. (1984). Specifying VAR’s for macroeconomic forecasting. Federal Reserve Bank of Minneapolis Staff report. no. 92.
  • Manuel Arellano, and Stephen Bond. (1991). Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations. The Review of Economic Studies, 58(2), 277–297. http://www.jstor.org/stable/2297968
  • Mavroeidis, S., Sasaki, Y., & Welch, I. (2015). Estimation of heterogeneous autoregressive parameters with short panel data. Journal of Econometrics, 188(1), 219–235. https://doi.org/10.1016/j.jeconom.2015.05.001
  • Miranda, K., Martínez-Ibañez, O., & Manjón-Antolín, M. (2017). Estimating individual effects and their spatial spillovers in linear panel data models: Public capital spillovers after all? Spatial Statistics, 22, 1–17. https://doi.org/10.1016/j.spasta.2017.07.012
  • Olley, G., & Pakes, A. (1996). The dynamics of productivity in the telecommunications equipment industry. Econometrica, 64(6), 1263–1297. https://doi.org/10.2307/2171831