The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Effects of innovation on employment: A dynamic panel analysis
Abstract
This paper estimates the effect of innovation on employment at the firm level. Our uniquely long innovation panel data set of German manufacturing firms covers more than 20 years and allows us to use various innovation measures. We can distinguish between product and process innovations as well as between innovation inputs and innovation outputs. Using dynamic panel GMM system estimation we find positive effects of innovation on employment. This result is robust to the use of product and process innovations as well as for innovation input and output.
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Cites
Arellano, M., & Bond, S. (1991) · The Review of Economic Studies · doi:10.2307/2297968 · Cited by 33,272
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
Econometric Analysis of Panel Data
Baltagi, B. H. (2021) · Springer Texts in Business and Economics · doi:10.1007/978-3-030-53953-5 · Cited by 15,104
Initial conditions and moment restrictions in dynamic panel data models
Blundell, R., & Bond, S. (1995) · Working Paper Series · doi:10.1920/wp.ifs.1995.9517 · Cited by 14,755
How to do Xtabond2: An Introduction to Difference and System GMM in Stata
Roodman, D. (2009) · The Stata Journal: Promoting communications on statistics and Stata · doi:10.1177/1536867x0900900106 · Cited by 9,848
Hsiao, C. (2014) · doi:10.1017/cbo9781139839327 · Cited by 7,869
Hsiao, C. (2022) · doi:10.1017/9781009057745 · Cited by 7,869
A finite sample correction for the variance of linear efficient two-step GMM estimators
Windmeijer, F. (2005) · Journal of Econometrics · doi:10.1016/j.jeconom.2004.02.005 · Cited by 5,942
Estimating Vector Autoregressions with Panel Data
Holtz-Eakin, D., Newey, W., & Rosen, H. S. (1988) · Econometrica · doi:10.2307/1913103 · Cited by 4,239
Formulation and estimation of dynamic models using panel data
Anderson, T. W., & Hsiao, C. (1982) · Journal of Econometrics · doi:10.1016/0304-4076(82)90095-1 · Cited by 2,849
Metadata
- Authors
- Lachenmaier, S., & Rottmann, H.
- Venue
- International Journal of Industrial Organization
- Publisher
- Elsevier BV
- Published
- 2011-03
- Volume
- 29
- Issue
- 2
- Pages
- 210-220
- ISSN
- 0167-7187 (ISSN-L)
- OpenAlex
- W3123140879
- Cited by
- 328
- References
- 36
- FWCI
- 37.84
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lachenmaier, S., & Rottmann, H. (2011). Effects of innovation on employment: A dynamic panel analysis. International Journal of Industrial Organization. https://doi.org/10.1016/j.ijindorg.2010.05.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.