Year 2016, Volume 62, Issue 2

Year : 2016
Volume : 62
Issue : 2
Authors : Ljiljana KEČA and Milica MARČETA
Abstract : Series of panel data are a combination of comparative data and time series. One of the most significant advantages of using an analysis based on a series of panel data refers to obtaining maximum information from a limited number of observations per unit of observation in a given period, which is very frequent in forestry. The aim of the research is to analyse the individual market factors, examine their interdependence, and establish strength of linkage. In this case study the goal is to examine the influence of independent variables (placement on the domestic market, export and sales prices of non-timber forest products - NTFPs) on the dependent variable - the purchase of raw materials. Variables that are taken into consideration were: buying, selling on the domestic market, export and selling prices of certain types of NTFPs. In the analysis were used R Program and the special package, which is dealing with panel data. Based on Pooling OLS estimators determined that the variable export and sales on the domestic market are important to purchase of NTFPs. By analyzing the variations between objects of observation (between) it is established, as the previous estimator that the variables export and prices are important to the purchase of NTFPs. According to First difference estimator export and sales price are the factors that most influence the purchase of raw NTFPs. According to all tree estimators: Pooled OLS; between and First differences, it was found that the placement on the domestic market variable which, compared with other, largely determines the purchase of raw NTFPs (in terms of the analyzed data). This is evident based on the greatest values that range in interval 0.80 to 1.04 for the domestic market.
For citation : Ljiljana KECA and Milica MARCETA (2016): IMPLEMENTATION OF PANEL DATA: IN MARKETING RESEARCHES IN FORESTRY. Agriculture and Forestry, 62 (2): 193-200.
Keywords : panel data, market, forestry, estimator, strategy.
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ISSN 0554-5579 (Printed)
ISSN 1800-9492 (Online)
DOI : 10.17707/AgricultForest


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