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An Exploratory Analysis of the Profitability of Small and Medium Firms using Panel Data: The Case of the Greater Bucharest Metropolitan Area

机译:使用小组数据的中小企业盈利能力的探索性分析:大布加勒斯特大都市区的案例

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This study attempts to predict aggregate profits for small and medium Romanian firms using a relatively naive model. We use a dataset consisting of 4,519 observations spanning a period of eleven years, from 2001 to 2011. Each observation is obtained by aggregating the data associated with all small and medium firms that can be found for a given NACE and SIRUTA code in the greater Bucharest metropolitan area. Our sample includes a number of more than 1,514 observations that correspond to firms with aggregate zero turnover and aggregate zero number of employees. These are in fact shell companies, firms that are inactive, but somehow remained in the evidence of the Romanian Trade Register Office. We split our sample into two distinct periods, using the 2008 financial crisis as the dividing point. We fit a simple prediction model of aggregate total profits as a function of four variables, using the pre-financial crisis period. We test the predictions of our model using the post-crisis period. The results are imparting three important lessons. First, by allowing shell companies in our sample, the prediction accuracy of our model appears to weaken. Many surveys and economic policy studies conducted by the Romanian government take into account all companies in the evidence of the Trade Register Office, whether active or not. We thus strongly recommend that policy initiatives be based solely on statistical surveys that include only firms in operation. Second, we do not need very detailed information, a large number of explanatory variables, or a very sophisticated model in order to achieve a good prediction power. Using only four variables, our naive prediction model boasts an impressive out-of-sample R-square of almost 62%. Third, the 2008 financial crisis that wreaked havoc in Western Europe and North America, represented a true tipping point for the economy of the greater Bucharest metropolitan area as well.
机译:本研究试图使用相对幼稚的模型预测小型罗马尼亚公司的总利润。我们使用由2001年至2011年跨越十一年的4,519个观察组成的数据集。每次观察都是通过聚合与所有中小企业相关联的数据来获得,这些数据可以在更大的布加勒斯特的给定NACE和Siruta代码中找到。都市区。我们的示例包括许多超过1,514个观察,该观察结果对应于零营业额汇总的公司和占用零员工的零数。这些实际上是壳牌公司,无效的公司,但不知何故仍然是罗马尼亚贸易登记处的证据。我们将我们的样本分成两个不同的时期,使用2008年金融危机作为分界点。我们使用金融前危机期间适用于四个变量的常量总收益的简单预测模型。我们使用危机后期测试我们模型的预测。结果赋予三个重要的课程。首先,通过允许Shell公司在我们的样本中,我们模型的预测准确性似乎削弱了。罗马尼亚政府进行的许多调查和经济政策研究考虑了所有公司在贸易报告办公室的证据中,无论是否有效。因此,我们强烈建议策略举措完全基于统计调查,该调查仅包括在运作中的公司。其次,我们不需要非常详细的信息,大量的解释变量,或者是一个非常复杂的模型,以实现良好的预测能力。只使用四个变量,我们的天真预测模型具有令人印象深刻的超出样本R-Square,近62%。第三,2008年在西欧和北美造成严重破坏的2008年金融危机,也是大布加勒斯特大都市区经济的真正举报点。

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