2016
DOI: 10.1007/978-3-319-44591-5_25
|View full text |Cite
|
Sign up to set email alerts
|

The Impact of Selected Firm Features on Sales Growth: Empirical Evidence from S&P500

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

1
3
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(4 citation statements)
references
References 23 publications
1
3
0
Order By: Relevance
“…Therefore, it is confirmed that the estimated models are dynamic in nature. Statistically significant positive coefficients of the lagged firm sales growth is in accordance with other studies (Gurbuz et al, 2017;Behrens &Trunschke, 2020). The impact of size on firm growth is negative and highly significant in all of the three models.…”
Section: Volatility and Firm Growthsupporting
confidence: 91%
“…Therefore, it is confirmed that the estimated models are dynamic in nature. Statistically significant positive coefficients of the lagged firm sales growth is in accordance with other studies (Gurbuz et al, 2017;Behrens &Trunschke, 2020). The impact of size on firm growth is negative and highly significant in all of the three models.…”
Section: Volatility and Firm Growthsupporting
confidence: 91%
“…In this way, we avoided simultaneity and reverse causality problems because the dependent variables were measured in period t while the export variables were measured in the period tÀ1, which renders the model dynamic (Barge-Gil & L opez, 2014;Mairesse & Mohnen, 2010). Furthermore, with the purpose of considering the persistence of both types of innovations, which may create serial correlation in the data, we included the one-year lagged value of the dependent variables (Gurbuz, Ataunal, & Aybars, 2017). We also include the control variables that might influence a firm's innovation output (age, size, R&D and advertising intensity, and sectorial technological intensity):…”
Section: Statistical Approachmentioning
confidence: 99%
“…In our study, biases might result from omitted variables that relate to both export and innovation choices: thus, estimating unbiased coefficients requires econometric methods that account for this (Hamilton & Nickerson, 2003). Furthermore, and considering that prior research has shown that sales growth is characterized by high persistency (e.g., Gurbuz et al, 2017), it is also necessary to control for serial correlation. To address for possible estimation biases due to endogeneity and serial correlation problems due to persistency, we have taken advantage of the yearly panel structure of our data and control for time-invariant unobserved firm heterogeneity.…”
Section: Statistical Approachmentioning
confidence: 99%
See 1 more Smart Citation