The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
What Happens After A Technology Shock?
Open accessAbstract
We provide empirical evidence that a positive shock to technology drives up per capita hours worked, consumption, investment, average productivity and output . This evidence contrasts sharply with the results reported in a large and growing literature that argues, on the basis of aggregate data, that per capita hours worked fall after a positive technology shock. We argue that the difference in results primarily reflects specification error in the way that the literature models the low-frequency component of hours worked.
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Cites
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1998) · Journal of Econometrics · doi:10.1016/s0304-4076(98)00009-8 · Cited by 22,571
Testing the null hypothesis of stationarity against the alternative of a unit root
Kwiatkowski, D., Phillips, P. C. B., Schmidt, P., & Shin, Y. (1992) · Journal of Econometrics · doi:10.1016/0304-4076(92)90104-y · Cited by 12,633
Testing for Weak Instruments in Linear IV Regression
Stock, J., & Yogo, M. (2002) · doi:10.3386/t0284 · Cited by 1,842
Cited by
Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach
Smets, F., & Wouters, R. (2007) · SSRN Electronic Journal · doi:10.2139/ssrn.1687574 · Cited by 1,506
Metadata
- Authors
- Christiano, L. J., Eichenbaum, M. S., & Vigfusson, R. J.
- Venue
- International Finance Discussion Papers
- Published
- 2003-07
- Volume
- 2003.0
- Issue
- 768
- Pages
- 1-54
- ISSN
- 1073-2500 (ISSN-L)
- OpenAlex
- W3122418294
- Cited by
- 271
- References
- 3
- FWCI
- 55.67
- Type
- journal article
- Language
- en
- Open access
- hybrid
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