Modeling Firm Population Dynamics: An Application to the Turkish Manufacturing Industry for the 1950-2000 Period.

Download

index.pdf

Date

2009-12-01

Author

Soytaş, Uğur

Metadata

Show full item record

Item Usage Stats

150
views

64
downloads

This paper examines the population dynamics of Turkish manufacturing firms using annual data on the aggregate industry over the period 1950-2000. Among the four models considered, the density dependence model seems to provide the best fit. This model is extended for further examination. One interesting finding is that business cycles do not play a role in determining changes in firm numbers in the industry. The number of firms is negatively influenced by average number of employees; however, it does not appear to depend on average payments to employees. Energy intensity also does not seem to influence the population size dynamics.

URI

https://hdl.handle.net/11511/77933

Journal

International Journal of Business & Economics

Collections

Department of Business Administration, Article

Suggestions

OpenMETU
Core

Forecasting Turkish real GDP growth in a data-rich environment Sen Dogan, Bahar; Midilic, Murat (2019-01-01) This study generates nowcasts and forecasts for the growth rate of the gross domestic product in Turkey using 204 daily financial series with mixed data sampling (MIDAS) framework. The daily financial series include commodity prices, equity indices, exchange rates, and global and domestic corporate risk series. Forecasting exercises are also carried out with the daily factors extracted from separate financial data classes and from the whole dataset. The findings of the study suggest that MIDAS regression mo...
Long run relationship between entry and exit: time series evidence from Turkish manufacturing industry Soytaş, Uğur (2006-12-01) This paper investigates the long run relationship between entry and exit using aggregate annual data from the Turkish manufacturing industry for the period 1968-2001. The time series properties of the data imply that simple OLS regressions may yield spurious results. We employ both bivariate and multivariate models to test for Granger causality. Utilizing relatively new time series techniques, we find that exit Granger causes entry in the long run, but not vice versa. However, unlike many empirical fin...
The Determinants of the Price-Cost Margins of the Manufacturing Firms in Turkey Çulha, Ali; Yalçın, Cihan (Orta Doğu Teknik Üniversitesi (Ankara, Turkey), 2005-12) This study examines the determinants of the price-cost margins in the Turkish manufacturing industry spanning from 1995 to 2003. The literature on this subject points to the importance of market structure, business cycles and input costs. Utilizing panel data econometric techniques on a large number of manufacturing firms by conditioning on their size, age, ownership and export orientation, the study finds that there exists a marked difference among the firms’ pricing behaviors according to their market sha...
The Relationship between unemployment rate and growth: time series approach for Turkey Akpiliç, Ferdi; Yozgatlıgil, Ceylan; Department of Statistics (2016) This study analyzes the relationship of economic growth and unemployment by using quarterly data for the period 2005:Q1-2016:Q1 for Turkish Economy. Three different versions of Okun’s law which are difference, gap and dynamic versions are investigated in the study. According to results, it is found that Okun’s Law is valid for Turkey. In addition, productivity variable is added to dynamic models to test effect of productivity on unemployment rate and models results reveal positive relationship between produ...
The relationship between energy and production: Evidence from Turkish manufacturing industry Soytaş, Uğur; Sarı, Ramazan (2007-11-01) This paper investigates the relationship between energy and production at the industry level in an emerging market, Turkey, in a multivariate framework. The electricity consumption and value added relation is examined in the Turkish manufacturing industry, while also accounting for labor and fixed investment. We find that labor, fixed investment, electricity consumption, and value added are related via three cointegrating vectors. The VEC results indicate uni-directional causality running from electricity c...

Citation Formats

U. Soytaş, “Modeling Firm Population Dynamics: An Application to the Turkish Manufacturing Industry for the 1950-2000 Period.,” International Journal of Business & Economics, pp. 213–223, 2009, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/77933.