scholarly journals Economies of Scale in Brazilian Supplementary Health

2021 ◽  
Vol 20 ◽  
pp. e3194
Author(s):  
Rudolph Fabiano Alves Pedroza Teixeira ◽  
Adriano Rodrigues ◽  
Ricardo Fraga Lima
Keyword(s):  
Panel Data ◽  
Random Effects ◽  
Fixed Effects ◽  
Economies Of Scale ◽  
Health Sector ◽  
Geographic Location ◽  
Total Cost ◽  
Price Increases ◽  
Administrative Expenses ◽  
Total Cost Function

Low profitability has been responsible for the insolvency of a large number of health plan operators (HPO) in recent years, which increasingly requires these entities to assess which services can be optimized without compromising their final activities. An answer to this problem may lie in the adequate dimensioning of support activities. Therefore, the aim of this study is to investigate the economies of scale in the support activities of Brazilian HPO. In the presence of such economies, it can be considered that operators have room to dilute their administrative expenses, suggesting that profitability can be increased without the need for large price increases, which can guarantee the survival of companies in the sector without penalizing their customers. For this purpose, panel data regressions with Random Effects (RE), Fixed Effects (FE) and pooled were estimated, considering 5,185 observations for the period 2011 – 2018. The results found by estimating the total cost function were favorable to the hypothesis of economies of scale in the supplementary health sector. Finally, it was also possible to verify that the type of operator and the geographic location of the administrative headquarters of these entities contribute to the scale effect to a greater or lesser extent. These results show that the economies of scale existing in the sector can significantly contribute to the operational and financial maintenance of various HPO, providing an alternative to mitigate the low profitability of these companies.

scholarly journals PENGARUH PENYEDERHANAAN STRUKTUR TARIF CUKAI SPESIFIK TERHADAP KONSUMSI ROKOK

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Nur Indah Lestari
Keyword(s):  
Panel Data ◽  
Random Effects ◽  
Random Effect ◽  
Random Effect Model ◽  
Rate Structure ◽  
Price Increases ◽  
Using Data ◽  
Structure Simplification ◽  
The Impact ◽  
Unbalanced Panel Data

ABSTRACT:  This study is conducted to estimate the impact of the increase in regular and specific excise rates structure simplification on cigar's consumption through its price. Using data in 2015 and applying random effect model for unbalanced panel data on Sigaret Kretek Mesin-type and Sigaret Kretek Tangan-type of the cigar, this study compares the impact of price increases due to both specific excise rate structure simplification and regular increase on the excise rate in cigar’s consumption. The results indicate that increase in the specific excise rate structure simplification has a lower impact on raising cigar’s prices than regular excise rate increases. Furthermore, the impact of price increases due to the specific excise rate structure simplification is greater in reducing cigar’s consumption than the price increases due to regular excise rate increases. In addition, it is found that the average price of Sigaret Kretek Mesin-type is lower and has an average consumption that is much higher than Sigaret Kretek Tangan-type. Overall, this result suggests that the specific excise rate structure simplification's policy should be continued in order to reduce cigar's consumption.Keywords: specific excise rate structure simplification, cigar’s consumption, random effects modelABSTRAK:  Penelitian ini dilakukan untuk mengetahui pengaruh kenaikan tarif cukai biasa maupun spesifik terhadap konsumsi rokok melalui harga jual ecerannya. Rokok yang digunakan adalah rokok jenis Sigaret Kretek Mesin (SKM) dan Sigaret Kretek Tangan (SKT). Dengan menggunakan data tahun 2015 dan menerapkan random effect pada unbalanced panel data, penelitian ini membandingkan pengaruh kenaikan harga jual eceran akibat penyederhanaan struktur tarif cukai spesifik dan kenaikan tarif cukai biasa terhadap konsumsi rokok. Hasil penelitian menunjukkan bahwa penyederhanaan struktur tarif cukai spesifik berpengaruh lebih rendah terhadap kenaikan harga jual eceran rokok dibandingkan dengan akibat kenaikan tarif biasa. Lebih lanjut, pengaruh kenaikan harga jual eceran akibat penyederhanaan struktur tarif cukai spesifik lebih besar dalam mengurangi konsumsi rokok dibandingkan kenaikan harga jual eceran akibat kenaikan tarif cukai biasa. Selain itu ditemukan bahwa harga jual eceran rata-rata rokok jenis Sigaret Kretek Mesin (SKM) lebih rendah dan mempunyai rata-rata konsumsi yang jauh lebih tinggi dibandingkan rokok jenis Sigaret Kretek Tangan (SKT). Secara menyeluruh, temuan ini menyarankan agar kebijakan penyederhanaan struktur tarif cukai perlu dilanjutkan karena efektif untuk mengurangi konsumsi rokok. Kata kunci: Penyederhanaan struktur tarif cukai spesifik, konsumsi rokok, random effects model.   

scholarly journals Trade-Off Variables and Market Value: An Estimated Panel Data Study of Quoted Small and Medium Scale Enterprises from Nigeria

2021 ◽  
Vol 04 (08) ◽  
Author(s):  
Anyamaobi Chukwuemeka ◽  
Keyword(s):  
Panel Data ◽  
Random Effects ◽  
Significant Relationship ◽  
Firm Value ◽  
Fixed Effects ◽  
Market Value ◽  
Equity Capital ◽  
Trade Off ◽  
Medium Scale

This study was undertaken to examine the relationship between trade off variables and market value of quoted small and medium scale enterprises in Nigeria. Secondary data obtained from financial statement of 10 quoted small and medium scale enterprises from 2009 – 2018. Market value was modeled as the function of, non-tax shield, business risk and tangibility. Panel data methods were employed while the fixed and random effects models were used as estimation technique at 5% level of significance. Fixed effects, random effects and pooled estimates were tested while the Hausman test was used to determine the best fit. Panel unit roots and panel cointegration analysis were conducted on the study. The study found that trade off variables has significant relationship with market value of the small and medium scale enterprises. From the regression summary, we conclude that, trade off variables have significant relationship with market value of the small and medium scale enterprises. We recommend that financial managers should institute sound, efficient and coherent capital structure management policies such that will enable them determine the right mix or combination of debt, equity or both that will enhance firms’ value in Nigeria. Firm should expand to a level it does not result to diseconomies of scale and the eventual fall in the value of the small and medium scale enterprises. Government and policy makers should provide an enabling market environment capable of enhancing easy source of capital to enhance firm value in Nigeria. Management of the small and medium scale enterprises should employ more of long-term debt than equity capital in financing their operations, because it results in higher small and medium scale enterprises value. Corporate financial decision makers should employ more of long-term-debt than equity in their financial option. This is in line with the pecking order theory. Management of the small and medium scale enterprises should compare the marginal benefit of using long-term-debt to the marginal costs of long-term-debt before concluding on using it in financing their operations. This is because as shown by this work, long-term-debt impact positively on firm’s value unlike equity capital.

scholarly journals FORECASTING MONEY DEMAND WITH THE INCLUSION OF FINANCIAL INNOVATION FOR THE ASSOCIATION OF SOUTHEAST ASIAN NATIONS: EVIDENCE FROM PANEL DATA ANALYSIS

2019 ◽  
Vol 1 (1) ◽  
pp. 59-74
Author(s):  
Payam Mohammad Aliha ◽  
Tamat Sarmidi ◽  
Fathin Faizah Said
Keyword(s):  
Time Series ◽  
Panel Data ◽  
Random Effects ◽  
Money Demand ◽  
Fixed Effects ◽  
Random Effects Model ◽  
Fixed Effects Model ◽  
Demand For Money ◽  
Financial Innovations ◽  
The Impact

This paper investigates the impact of financial innovations on the demand for money using a dynamic panel data for 10 ASEAN member states from 2004 to 2012 and attempt to forecast the demand for money during 2013 – 2016 to compare between forecasting performance of the fixed effects model with that of random effects model and also to compare the forecasting accuracy of dynamic forecasting and static forecasting obtained from these two models. An autoregressive model by definition is when a value from a time series is regressed on previous values from that same time series. There are two types of forecasting namely dynamic forecast and static forecast. “Dynamic forecast will take previously forecasted values while static forecast will take actual values to make next step forecast. Panel effects models assist in controlling for unobserved heterogeneity when this heterogeneity is constant over time and correlated (fixed effects) or uncorrelated (random effects) with independent variables. Hausman test indicates that the random-effects model is appropriate. We use the conventional money demand that is enriched with the number of automated teller machines (ATM) to proxy for the effect of financial innovations on money demand. By comparing the magnitude of “Root Mean Squared Error” (RMSE) as a benchmark for the two forecasts (0.1164 for dynamic forecast versus 0.0635 for static forecast) we simply find out that static forecast is superior to dynamic forecast meaning that static forecast provides more accurate forecast compared to a dynamic forecast for the fixed-effects model. Therefore, we conclude the static forecast on the basis of the random-effects model provides the most accurate forecasting. The estimation result of the chosen random-effects regression also indicates the estimated coefficient of ATM is not significant meaning that ATM does not impact money demand in ASEAN countries.

MODELLING AND ESTIMATING INDIVIDUAL AND FIRM EFFECTS WITH COUNT PANEL DATA

2018 ◽  
Vol 48 (3) ◽  
pp. 1049-1078 ◽  
Author(s):  
Jean-François Angers ◽  
Denise Desjardins ◽  
Georges Dionne ◽  
François Guertin
Keyword(s):  
Panel Data ◽  
Random Effects ◽  
Fixed Effects ◽  
Parametric Model ◽  
Random Effects Model ◽  
Road Accidents ◽  
Fixed Effects Model ◽  
Insurance Pricing ◽  
Count Panel Data ◽  
Unobservable Factors

AbstractWe propose a new parametric model for the modelling and estimation of event distributions for individuals in different firms. The analysis uses panel data and takes into account individual and firm effects in a non-linear model. Non-observable factors are treated as random effects. In our application, the distribution of accidents is affected by observable and non-observable factors from vehicles, drivers and fleets of vehicles. Observable and unobservable factors are significant to explain road accidents, which mean that insurance pricing should take into account all these factors. A fixed effects model is also estimated to test the consistency of the random effects model.

scholarly journals The Impact of Foreign Direct Investment in the Western Balkan Countries - A Panel Data Analysis

2021 ◽  
Vol 16 (6) ◽  
pp. 1185-1190
Author(s):  
Nexhat Shkodra ◽  
Xhevat Sopi ◽  
Florentina Xhelili Krasniqi
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Panel Data ◽  
Random Effects ◽  
Direct Investment ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Random Effects Model ◽  
Balkan Countries ◽  
The Impact

Foreign Direct Investment (FDI) has a significant effect on the economic growth and development of host economies, but also on international economic integration through globalization. Particular aspects of this topic are being extensively addressed by scientific research in recent decades. The purpose of this paper is to determine whether globalization and through it the Foreign Direct Investment (FDI) has an impact on the economic growth (GDPgr) of the Western Balkan countries which are facing a transitional phase. The relation between FDI and economic growth has been analyzed by employing econometric models with panel data approach: linear regression with poled data, the Fixed Effects model, and the Random-Effects model (GLS). The study is based on panel data of six countries for the period between 2004-2018, obtained by the World Bank. The results of the Random Effects model (GLS) shown that lagged FDI has a significant impact on the economic growth (GDPgr) of the Western Balkans (p<0.05%), as well as gross capital formation (Cap) and government expenditure (Gov) whereas export (Ex) has been excluded from the model. The results also shown that there are significant differences in the factors influencing economic growth among countries in the region (LM Method - Breusch-Pagan test; p=0.02455 < 0.05).

scholarly journals Estimating the impact of export costs on Vietnam‟s export

2018 ◽  
Vol 1 (Q5) ◽  
pp. 74-81
Author(s):  
Tu Thi Cam Mai
Keyword(s):  
Panel Data ◽  
Random Effects ◽  
Fixed Effects ◽  
Trade Costs ◽  
Export Growth ◽  
International Competition ◽  
Data Set ◽  
Factors Affecting ◽  
Domestic Trade ◽  
The Impact

In the context of increasing international competition, production and export costs are the two crucial factors affecting the competitiveness and sustainability of developing ountries’ export growth The p per hen e fo use on estim ting the imp t of export ost on Vien m’s export value. This paper employed panel data set which covers the annual export from 2001 to 2013 of 70 Vietnamese major exporters with 910 observations. Hausman – Taylor (1981) test is used to compare the Random-effects (RE) and Fixed-effects (FE) estimations to determine the most appropriate. The findings confirmed that export cost plays an import nt role in the Vietn m’s export perform n e in the period 2001-2013. The determinants of Vietn m’s export v lue re tr e ost (-2.965), Vietn m’s GDP (0 658) importer’s GDP (0 413) importer’s popul tion (0 289) importer’s openness (0.252). This suggests that the Vietnamese Government should attempt to reduce domestic trade costs to enhance competitiveness and boost export growth sustainably.

scholarly journals Board of Directors’ Size and Firm Performance: Evidence from Non-Financial French Firms Listed on CAC 40

2020 ◽  
Vol 15 (2) ◽  
pp. 46-61
Author(s):  
Hemza Boussenna
Keyword(s):  
Firm Performance ◽  
Panel Data ◽  
Board Of Directors ◽  
Random Effects ◽  
Fixed Effects ◽  
Optimal Number ◽  
Board Size ◽  
The Relationship ◽  
Positive Effect

AbstractThe study aims to investigate the relationship between board size and firm’s performance for a sample of non-financial French firms listed on the CAC 40 between 2005 and 2017. We estimated the firm’s performance using two types of metrics, the accounting-based measures (ROA and ROE) and the market-based measures (Tobin Q and MTB). By applying the panel data regressions (fixed-effects and random-effects), the findings show that there is a positive effect of board size on firm performance. In addition, our results show that the optimal number of the board size should be between 13 and 17 members in order to achieve good performance for non-financial French firms.

scholarly journals The Cost Function and Scale Economies in Academic Research Libraries

2002 ◽  
Vol 63 (5) ◽  
pp. 406-420 ◽  
Author(s):  
Lewis Guodo Liu
Keyword(s):  
Cost Function ◽  
Economies Of Scale ◽  
Academic Research ◽  
Scale Economies ◽  
Information Provision ◽  
Total Cost ◽  
Research Libraries ◽  
Wide Range ◽  
The Cost ◽  
Total Cost Function

This empirical research examined scale economies of academic research libraries that belong to the Association of Research Libraries and developed a total cost function for estimating economies of scale. The author argues that libraries in general, and academic research libraries in particular, are information provision organizations that provide multiproducts and multiservices and points out that some previous studies that used the production function have limitations due to the fact that this function only permits a single-output variable. This investigation incorporated a wide range of collections and service output variables into the total cost function. The regression results show that the R square of the cost function model is .8142 and that the coefficients of three very important output variables (volumes held, serials, and group presentations) are statistically significant at high confidence levels. The findings of this research show that the function coefficient is .93, indicating that slight economies of scale exist in academic research libraries.

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