The Factors of Growth of Small Family Businesses - A Robust Estimation of the Behavioural Consistency in Panel Data Models

Benáček, Vladimír; Michalíková, Eva

doi:10.18267/j.pep.538

Cited by 10 publications

(5 citation statements)

References 23 publications

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“…En los estudios recientes ha aumentado el método de la encuesta. Por ejemplo, Benácek & Michalíková (2016) realizaron un estudio con análisis de datos panel aplicando el método de estimación de efectos fijos cuadrados, con pruebas econométricas para conocer los factores de crecimiento de las empresas familiares.…”

Section: Revisión De La Literaturaunclassified

Análisis del crecimiento de las ventas mediante un modelo logarítmico con ratios

Bernal-Domínguez

2018

SUMNEG

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The phenomenon of business growth is a subject that has been little studied in Mexico. The objective was to determine which indicators affect the growth of sales in Mexican beverage issuing companies. The methodology was two case studies with a longitudinal approach. The quantitative data that was collected based on annual financial reports from 2010 to 2016, were sales, consumers, total assets and employees. It is shown that the intensities of the ratios that partially affect the growth of sales are: productivity, labor intensity, capital intensity and the frequency of consumption.

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Section: Revisión De La Literaturaunclassified

Análisis del crecimiento de las ventas mediante un modelo logarítmico con ratios

Bernal-Domínguez

2018

SUMNEG

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“…The city has a direct impact on the farmer as it accumulates almost all available opportunities to replenish the inventory and equipment, purchase household and industrial products, attract credit resources, etc. All this gives grounds to consider large urban communities in local food systems to be the main centres where infrastructure facilities for processing agricultural products and food consumption [20][21][22], along with gross income, investment capital, skilled labour and scientific potential, are concentrated [23][24].…”

Section: Brief Literature Reviewmentioning

confidence: 99%

A logistics model of sustainable food supply of the region

Vorotnikov¹,

Sukhanova²,

Tretyak³

et al. 2017

EA-XXI

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Abstract. Introduction. The problem of sustainable food supply is connected with the optimisation of the distribution of food flows and determined by the quantity of food in terms of per capita consumption, energy value and availability of nutrients. The purpose of the article is to develop a logistics model of sustainable food supply in the region and test it on the example of Saratov region of Russia. Methods. In the process of economic-mathematical modelling, the authors used econometric and logistics methods. Results. The article describes the authors' approach to building local food systems. A two-level model of demand for food products was substantiated. The conducted calculations of the indicators of sustainability of the local food systems of Saratov region for the most important types of food products show that three local food systems centred in towns of Kalininsk, Novouzensk and Ershov are fully food self-sufficient. The local food systems of the towns of Volsk, Balashov and Balakovo have difficulties in the matters of self-sufficiency in meat products; and the local food systems of the city of Saratov and the town of Engels have to import meat and milk in order to have quality and sustainable provision of the population with such products. Conclusions. The use of the logistics approach allows us to develop a universal algorithm for the assessment of the overall sustainability of food supply of the region, consider the impact of transportation costs on food consumption by the population, substantiate the rational logistics and delivery routes of agricultural production for its further processing, which will increase the overall sustainability of food supply in a particular region.

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“…The research on robust estimators in panel data regression model have been carried out by Aquaro and Čížek [1],Bramati and Croux [6], Bakar and Midi [7], Čížek [8], Verardi and Wagner [9]. The least trimmed squares (LTS) estimator method is one of the robust parameter estimation methods of outliers that has a high breakdown point (BDP) compared to other parameter estimation methods [1], [9]. In panel data regression with a fixed effects model, Bramati and Croux [6] also Aquaro and Čížek [1] used within-group generalized M (WGM) estimators as an alternative to classical estimators in the within-groupmethod.…”

Section: Introductionmentioning

confidence: 99%

The Study of Robust Estimators on Panel Data Regression Model for Data Contaminated with Outliers

Amelia¹,

Sadik²,

Sartono³

2020

Proceedings of the Proceedings of the 1st International Conference on Statistics and Analytics, ICSA 2019, 2-3 August 2019, Bog

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Outliers can cause biased parameter estimators and deviate from the actual values. This research studies robust estimators on panel data regression model. The robust estimators used are least trimmed squares (LTS) and within-group generalized M (WGM). This research aims to study robust estimator method in estimating panel data regression parameter on simulation data with various kinds of outliers and outlier proportions. This research utilizes primary data taken from the results of simulation data designed based on fixed effects of the panel data regression. The variety of overall simulation data in this study contains 16 types of contamination. The result shows that the within estimation method is not robust against outliers. Based on the absolute relative bias and RMSE, the WGM method produces a small variety of estimators and high accuracy of estimators for various types of outliers and levels of outlier contaminations.

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The Factors of Growth of Small Family Businesses - A Robust Estimation of the Behavioural Consistency in Panel Data Models

Cited by 10 publications

References 23 publications

Análisis del crecimiento de las ventas mediante un modelo logarítmico con ratios

Análisis del crecimiento de las ventas mediante un modelo logarítmico con ratios

A logistics model of sustainable food supply of the region

The Study of Robust Estimators on Panel Data Regression Model for Data Contaminated with Outliers

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