Relevant bibliographies by topics / Random-effect panel data

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Random-effect panel data'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Random-effect panel data"

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Huang, Bai, Tae-Hwy Lee, and Aman Ullah. "A combined random effect and fixed effect forecast for panel data models." Journal of Management Science and Engineering 4, no. 1 (March 2019): 28–44. http://dx.doi.org/10.1016/j.jmse.2019.03.004.

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Kencana, Eka N., Darma Arnawa, and Ketut Jayanegara. "Memodelkan Impor Beras Menggunakan Regresi Data Panel." Jurnal Matematika 10, no. 2 (January 17, 2021): 135. http://dx.doi.org/10.24843/jmat.2020.v10.i02.p130.

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Abstrak Beras merupakan salah satu komoditas pangan terpenting dunia. Data Fo-od and Agricultural Organizations (FAO) memperkirakan sekitar 90 persen beras duniadihasilkan negara-negara di Benua Asia dengan pusat produksi padi Asia terletak di Ka-wasan ASEAN. Sebagai negara agraris, Indonesia menduduki peringkat ketiga produsenpadi dunia setelah Tiongkok dan India, dan peringkat pertama produsen padi ASEAN.Meski demikian, Indonesia bersama negara-negara produsen lain di ASEAN juga me-lakukan impor beras. Artikel ini bertujuan memodelkan impor beras 5 negara ASEAN.Menggunakan data komoditas beras dari FAO pada periode tahun 2009–2018, 3 jenismodel Regresi Data Panel diaplikasikan untuk memodelkan impor beras. Hasil analisismenunjukkan Random Effect Model (REM) merupakan model terlayak pada impor beras5 negara ASEAN dengan perbedaan jumlah impor pada 2 tahun berturutan, konsumsi,dan produksi beras sebagai variabel-variabel penjelas.Kata kunci: beras, data panel, impor, random effect, regresi.
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Agus Astapa, I. Gede, Gede Suwardika, and I. Ketut Putu Suniantara. "ANALISIS DATA PANEL PADA KINERJA REKSADANA SAHAM." Jurnal VARIAN 1, no. 2 (April 24, 2018): 59–69. http://dx.doi.org/10.30812/varian.v1i2.72.

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Mutual funds is another investment opportunity with a more measurable risk as well as return high enough with enough capital is affordable for the community. Mutual fund performance can be measured by several indicators.. Modeling the performance of mutual funds modeled by regression of the data panel. The regression model estimation data panel will do with the three approaches, namely the approach of common effect, fixed effects and random effects. This research purpose to know the performance of mutual funds from stock selection skill variable influences, market timing ability and level of risk with the use of panel data analysis. The results shows that the Fund's performance is affected by the stock selection skill, market timing ability, and the level of risk. Model the right approach to model the performance of mutual funds by using a random effects model.
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Suardin, Misriani, Muhammad Nadjib Bustan, and Ansari Saleh Ahmar. "Pemodelan Pertumbuhan Ekonomi Provinsi Sulawesi Selatan dengan Menggunakan Regresi Data Panel." VARIANSI: Journal of Statistics and Its application on Teaching and Research 2, no. 3 (August 7, 2020): 158. http://dx.doi.org/10.35580/variansiunm14637.

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Abstract. Economic growth is a process for change the economic condition a country or regional by continuously for the better condition as long as definite period. Economic growth in South Sulawesi for 2013-2016 have up and down because many factors have influence it. Like jobless, human capital index, regional revenue, expenditure, and total population. This research was conducted to determine the factors that influence economic growth in South Sulawesi by using data panel regression methods. Panel data regression is a regression by using panel data. Panel data is a statistics analysis method that combines between time series data and cross section data. The result indicates that the result if the regression analysis on the =5% show that the best panel data regression model is random effect model and human capital index variable have significant effect on economic growth with probability value about 0,0227. Meanwhile, jobless, regional revenue, expenditure, and total population no significant.Keywords: Panel Data Regression, Economic Growth, Common Effect Model, Fixed Effcet Model, Random Effect Model
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Irwansyah, Muhammad, R. Ruliana, and Muhammad Kasim Aidid. "Analisis Regresi Balanced Panel dengan Komponen Galat Dua Arah pada Kasus Melek Huruf Masyarakat di Provinsi NTB." VARIANSI: Journal of Statistics and Its application on Teaching and Research 3, no. 1 (March 8, 2021): 10. http://dx.doi.org/10.35580/variansiunm14644.

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Abstract. Analsis regresi adalah suatu metode untuk melihat pengaruh antara satu atau lebih peubah bebas terhadap peubah terikat. Data yang digunakan untuk analisis regresi ada yang berupa penggabungan antara data cross section dengan data time series yang dikenal dengan nama data panel. Data panel yang memiliki jumlah pengamatan waktu yang sama di setiap objek pada tabulasi silang merupakan data panel lengkap (Balanced panel). Penelitian ini mencari nilai dugaan terhadap model regresi data panel dengan komponen galat dua arah yaitu galat pada waktu dan galat pada individu. Analisis regresi data panel dapat menggunakan tiga pendekatan yaitu common effect model, fixed effect model, dan random effect model. Pemilihan model terbaik dari ketiga pendekatan regresi data panel menggunakan uji hausman, uji chow, dan uji lagrange multipler. Dalam penelitian ini didapatkan model terbaik yaitu model random effect dimana peubah yang memiliki pengaruh signifikan terhadap melek huruf di Provinsi NTB yaitu rasio murid guru tingkat SMP rasio murid guru tingkat SMA, dan persentase penduduk miskin. Model regresi data panel yang terbentuk yaitu: Y = 117,5728 - 0,1967X5 - 0,3091X6 - 0,3297X7 + eKeywords: regresi data panel, common effect model, fixed effect model, random effect model, melek huruf.
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Xu, Lei, and Jun Shao. "Estimation in Longitudinal or Panel Data Models with Random-Effect-Based Missing Responses." Biometrics 65, no. 4 (May 7, 2009): 1175–83. http://dx.doi.org/10.1111/j.1541-0420.2009.01195.x.

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Drukker, David M. "A Generalized Regression-adjustment Estimator for Average Treatment Effects from Panel Data." Stata Journal: Promoting communications on statistics and Stata 16, no. 4 (December 2016): 826–36. http://dx.doi.org/10.1177/1536867x1601600402.

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I illustrate that the simple regression-adjustment estimator is inconsistent for the average treatment effect when the random effects affecting treatment assignment are correlated with the random effects that affect the potential outcomes. I present a simple parametric estimator that is consistent in this case.
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Olajide, Johnson Taiwo, Jubril Oluwatoyin Fantola, and Olufemi Aderemi Ayansola. "Measuring economic growth in OPEC countries : A panel data approach." International Journal of Applied Mathematical Research 4, no. 2 (April 30, 2015): 345. http://dx.doi.org/10.14419/ijamr.v4i2.4544.

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<p>Most of the developing and under-developed countries have been facing a lot of challenges on the issue of economic growth, despite the fact that they are endowed with both natural and human resources. This study examines the determinants of real per Capita GDP growth in Organization of the Petroleum Exporting Countries (OPEC) using a panel of twelve countries for the period of 1986 and 2010.The pooled Ordinary Least Squares (OLS), Fixed Effect (FE) and Random Effect (RE) models were employed to assess the relationship between CGDP and other economic variables used. The result showed that price level of consumptions (pc) and investment share (ci) are the important factors of CGDP that contribute to the economic growth of OPEC countries. The result also established that exchange rate (Xrat), price of GDP (p), purchasing power parity (ppp) and ci have a positive influence on CGDP. The test statistic revealed that Random Effects Model (REM) estimator is more efficient than OLS and that there is no significance difference between Fixed Effects Model (FEM) and REM estimators.</p>
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Olajide, Johnson T., and Olusanya E. Olubusoye. "Estimating Dynamic Panel Data Models with Random Individual Effect: Instrumental Variable and GMM Approach." Journal of Statistics Applications & Probability 5, no. 1 (March 1, 2016): 79–87. http://dx.doi.org/10.18576/jsap/050107.

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Marquart, Louise, and Michele Haynes. "Misspecification of multimodal random‐effect distributions in logistic mixed models for panel survey data." Journal of the Royal Statistical Society: Series A (Statistics in Society) 182, no. 1 (June 21, 2018): 305–21. http://dx.doi.org/10.1111/rssa.12385.

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Dissertations / Theses on the topic "Random-effect panel data"

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Mingolini, Riccardo. "Investimenti in lobby: Un modello per stimare il loro impatto sull'azienda." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13291/.

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In questo elaborato di tesi verrà analizzata l’attitudine di una azienda ad investire in lobbying, misurato attraverso varie variabili importanti per la stessa quali ad esempio il capitale, il reddito netto dell’impresa, il numero degli impiegati (et simila) e il loro impatto scoraggiante o incentivante rispetto alla nostra variabile dipendente. Cercheremo infine di trovare un modello che approssima in modo sostanziale suddette dipendenze e variabili, in modo da tracciare un filo logico e matematico fra la nostra variabile dipendente Y ( investimento in lobbying) e le nostre variabili indipendenti X cioè gli indici e le variabili in valore monetario importanti per definire una azienda e il suo settore di appartenenza (SIC CODE).
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Barcelos, Luiz Claudio. "Essays on regulatory risk issues." reponame:Repositório Institucional do FGV, 2010. http://hdl.handle.net/10438/8217.

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Most studies around that try to verify the existence of regulatory risk look mainly at developed countries. Looking at regulatory risk in emerging market regulated sectors is no less important to improving and increasing investment in those markets. This thesis comprises three papers comprising regulatory risk issues. In the first Paper I check whether CAPM betas capture information on regulatory risk by using a two-step procedure. In the first step I run Kalman Filter estimates and then use these estimated betas as inputs in a Random-Effect panel data model. I find evidence of regulatory risk in electricity, telecommunications and all regulated sectors in Brazil. I find further evidence that regulatory changes in the country either do not reduce or even increase the betas of the regulated sectors, going in the opposite direction to the buffering hypothesis as proposed by Peltzman (1976). In the second Paper I check whether CAPM alphas say something about regulatory risk. I investigate a methodology similar to those used by some regulatory agencies around the world like the Brazilian Electricity Regulatory Agency (ANEEL) that incorporates a specific component of regulatory risk in setting tariffs for regulated sectors. I find using SUR estimates negative and significant alphas for all regulated sectors especially the electricity and telecommunications sectors. This runs in the face of theory that predicts alphas that are not statistically different from zero. I suspect that the significant alphas are related to misspecifications in the traditional CAPM that fail to capture true regulatory risk factors. On of the reasons is that CAPM does not consider factors that are proven to have significant effects on asset pricing, such as Fama and French size (ME) and price-to-book value (ME/BE). In the third Paper, I use two additional factors as controls in the estimation of alphas, and the results are similar. Nevertheless, I find evidence that the negative alphas may be the result of the regulated sectors premiums associated with the three Fama and French factors, particularly the market risk premium. When taken together, ME and ME/BE regulated sectors diminish the statistical significance of market factors premiums, especially for the electricity sector. This show how important is the inclusion of these factors, which unfortunately is scarce in emerging markets like Brazil.
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Choi, Ga Eun, and Stephanie Galonja. "The Euro Effect on Trade : The Trade Effect of the Euro on non-EMU and EMU Members." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Economics, Finance and Statistics, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-20114.

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The purpose of this paper is to investigate how the changes in trade values are affected by the implementation of the euro currency. We study the EU members, including 11 EMU members and 3 non-EMU members (Sweden, Denmark and the United Kingdom). The empirical analysis is conducted by using a modified version of the standard gravity model. Our core findings can be summarized into two parts. First, the euro effect on trade which is estimated by the euro-dummy coefficient reflects an adverse influence by the euro creation on trade values for the first two years of the implementation on all our sample countries. It leads us to a conclusion that there is no significant improvement of trade in the year of implementation. These results do not change when a time trend variable is added to evaluate the robustness of the model. Our primary interpretation is that the euro creation does not have an immediate impact on trade but it is rather gradual as countries need time to adapt to a new currency. It is connected to our second finding that the negative influence of the euro implementation is not permanent but eventually initiates positive outcomes on trade values over time, thus concluding that the euro implementation has had gradual impact on both EMU and non-EMU members.
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Kamangar, Daniel, and Richard Sundin. "Management and CEO Stock Ownership and its Effect on Company Performance." Thesis, KTH, Matematisk statistik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229670.

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This is a study on the effect of management and CEO stock ownership on company performance. A regression analysis is performed on panel data consisting of a sample of 30 companies listed on OMX Stockholm Mid Cap. A total of 210 and 2520 observations is considered on a yearly and monthly basis, respectively, for seven years (2010-2016). The Hausman test is applied for determining between the fixed effects and random effects regression models. Results show that management relative stock ownership has a significant positive effect on company net income growth and return on assets. The effect is not significant for CEO stock ownership, which is contrary to what commonly has been shown for large companies in previous research. Moreover, alternative methodology is discussed for the benefit of the future researcher. The authors illustrate how the selection of dummy variables can be vital for final model outcomes, and it is thus an important aspect to consider when performing panel data analysis.
I den här studien undersöks hur aktieinnehav hos ledning och den verkställande direktören i ett företag påverkar företagsutvecklingen. Studien genomförs med regressionsanalys på paneldata som består av 30 företag, samtliga noterade på OMX Stockholm Mid Cap. Totalt samlas 210 och 2520 observationer på årsbasis respektive månadsbasis över sju år (2010-2016). Hausman-testet används för att bestämma vilken av fixed effects-modellen och random effects-modellen som ska användas i regressionen. Resultaten visar att relativt aktieinnehav hos ledningen har en positiv signifikant påverkan på ett företags nettoinkomstutveckling och avkastning på tillgångar. Den verkställande direktörens aktieinnehav visas inte vara signifikant, vilket är motsatt till det som generellt har visats för stora företag i tidigare forskning. Regressionerna genomförs även med alternativa metoder, vilka det resoneras kring i en diskussion som bör vara till gagn för vidare forskning. Författarna illustrerar hur val av dummy-variabler kan ha en avgörande betydelse för regressionsanalysen, och att det således är en viktig aspekt att ta hänsyn till när regressioner genomförs på paneldata.
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Bouhlal, Yasser. "A Retrospective and Prospective Analysis of the Demand for Cheese Varieties in the United States." Thesis, 2012. http://hdl.handle.net/1969.1/ETD-TAMU-2012-05-10745.

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The United States cheese consumption has grown considerably over the years. Using Nielsen Homescan panel data for calendar years 2005 and 2006, this dissertation examines the effect of economic and socio-demographic factors on the demand for disaggregated cheese varieties and on the cheese industry in general. In the first essay, we estimated the censored demand for 14 cheese varieties and identified the respective own-price and cross-price elasticities. Also, non-price factors were determined affecting the purchase of each variety as well as the impact of generic dairy advertising. Results revealed that most of the natural cheese varieties have an elastic demand while the processed cheese products exhibited inelastic demands. Strong substitution and complementarity relationships were identified as well, and a two quarter carry-over effect of advertising was observed for most of cheese demands. Results also showed that household demographics affected the demands differently, depending on the nature of the cheese varieties. The second essay examined the impact of retail promotion on the decision to purchase private label processed cheese products using a probit model. A strong negative relationship was found between national brand manufacturer couponing activity and the private label purchase decision. Therefore, national brand couponing appears to be an effective strategy for manufacturers to deter private label growth. This analysis also shows that the decision of purchasing a private label cheese product is influenced by socio-demographic characteristics of the household, namely household income and size, age and education level of the household head, race, ethnicity, and location. In the third study, the feasibility of fortifying processed cheese with omega-3 is investigated. This ex-ante analysis took into account the market conditions and evaluates the increase in the demand for processed cheese needed to offset the costs of fortification in order to maintain the profitability of manufacturers like Kraft. Initially, the censored demand for processed cheese products is estimated using panel data; subsequently, the profitability of manufacturing such product is determined.This analysis shows that, within reasonable market conditions and reasonable marginal costs, the fortification of processed cheese products with omega-3 fatty acids indeed is feasible from a profitability standpoint to manufacturers.
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Books on the topic "Random-effect panel data"

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Aye, Goodness C., Laurence Harris, and Junior T. Chiweza. Monetary policy and wealth inequality in South Africa: Evidence from tax administrative data. UNU-WIDER, 2020. http://dx.doi.org/10.35188/unu-wider/2020/931-0.

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This paper examines the relationship between monetary policy and wealth inequality in South Africa. We employed a unique database of tax administrative data which allowed us to account for individual heterogeneity. These tax data span from 2011 to 2017 and include over 3 million individual taxpayers in South Africa after data cleaning. Results based on fixed- and random-effects panel model estimates show that monetary policy generally increases wealth Gini inequality while it decreases the wealth 90–10 percentile differential. Increasing asset prices and gross domestic product per capita generally increases wealth inequality, while inflation reduces wealth inequality. The effect of age on wealth distribution varies depending on whether a fixed- or random-effects panel model is considered. Based on the estimates and observed data, being male tends to increase wealth inequality.
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Book chapters on the topic "Random-effect panel data"

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Bawazir, Abdullah Abdulaziz, Mohamed Aslam, and Ahmad Farid Osman. "The Impact of Population Aging on Economic Growth: Panel Data Evidence from Middle East Countries." In Advances in Human Services and Public Health, 67–86. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7327-3.ch005.

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This study examines the relationship between population aging and economic growth in a panel of 10 selected Middle East countries for the period of 1996–2016. For this purpose, this study uses two different measures of population aging, namely population aged 65 and over and old dependency ratio, to investigate their impacts on economic growth. The study utilizes the three alternative models of static panel data comprised of the pooled ordinary least squares, random effects, and fixed effects. The results of the robust fixed effects model indicate that the population aged 65 and over and the old dependency ratio have a positive effect on economic growth. The finding supports the argument indicating that an aging population does not necessarily adversely affect economic growth in the developing countries as it does in the developed countries. Therefore, the elderly population is not a matter of concern for the Middle East and the mechanisms through which the effect can take place are savings behavior and human capital accumulation of the individuals.
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Chatterjee, Ahan, Swagatam Roy, and Trisha Sinha. "Patient Arrival to Public OPDs." In Advances in Data Mining and Database Management, 83–114. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4706-9.ch004.

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The main objective of this chapter is to take a deeper look into the infrastructural condition of the hospitals across the districts of West Bengal, India. There is a liaison between various variables and the infrastructural growth of the public healthcare centres. In this chapter, the authors have formed a panel data from the year 2004 – 2017, consisting of 17 districts across West Bengal. They have assessed the random effect model on the data to choose their respective hypothesis. A Bayesian risk analysis had also been carried out on the mortality rate of the patients on which factors it depends. Next, a Poisson distribution model is being fit to get some insights into the data. Afterward, they predicted the number of patients who will arrive in 2020 and the shortfall of hospitals is also being projected. The remedies to these have also been suggested in that section. At last, they carried out an econometric analysis in the healthcare domain and took a closer look at how healthcare expenditure affects our focus variables performance.
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Mungunzul, Erdenebat, and Taikoo Chang. "The Effect of Foreign Direct Investment on the Economic Development of Mongolia." In Foreign Direct Investments, 1064–75. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2448-0.ch044.

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This article describes how foreign direct investment in Mongolia has reached 3.9 billion US$ mainly in the mining sector that amounted approximately 40% of the year's GDP. Even though FDI into Mongolia has been grown along with the country's economic development with trade openness to the world, a few studies have used regression analysis to analyze determinant factors of FDI. This article has estimated the determinants attracting FDI inflow into Mongolia by using two methods: applying single country (Mongolia) data using the determinants attracting FDI inflow into Mongolia from 1995-2014, and applying the determinants attracting FDI from the top investment countries using panel data, using random and fixed effects models from 2005-2013. The study results showed that GDP of Mongolia has a positive and significant effect on the FDI inflow. It was also revealed that the partner countries located either too far away from or too close to Mongolia pay little attention to and play a small investment role in Mongolian FDI.
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Huamaní, Guillermo Andrés Zapata, Sara Fernández-López, Isabel Neira Gómez, Lucía Rey-Ares, María Jesús Rodríguez-Gulías, and David Rodeiro-Pazos. "The Role Models as Determinants of New Technology-Based Firms." In Nascent Entrepreneurship and Successful New Venture Creation, 272–88. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2936-1.ch013.

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The new technology-based firms (NTBF) are a key element of economic growth, and therefore, understanding NTBF´s driving forces becomes a particularly important field of study. Relatively few studies have addressed the analysis of the determinants of technology entrepreneurship (TE), and those that did, have paid more attention to institutional or external factors (Aceytuno & de Paz, 2008). Role models have received less attention but seem to play a determinant role regarding TE (Venkataraman, 2004). The present chapter aims to analyse whether these role models and its proximity to potential entrepreneurs influence the NTBF creation. Using a sample of 65 countries over the period 2006-2013, we apply panel data random effect models. Overall, empirical evidence revealed that the variables media attention on entrepreneurship and personally know an entrepreneur exert significant influence on TE.
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Conference papers on the topic "Random-effect panel data"

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Zhou, Xianbo, and Kui-Wai Li. "The effects of openness and indigeneity on Growth: Evidence from nonparametric panel data model with two-way random effect." In 2011 International Conference on E-Business and E-Government (ICEE). IEEE, 2011. http://dx.doi.org/10.1109/icebeg.2011.5882239.

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Kolçak, Menşure, and Ali Yasin Kalabak. "Do Government Expenditures Subject to Law of Diminishing Returns? A Panel Data Application." In International Conference on Eurasian Economies. Eurasian Economists Association, 2018. http://dx.doi.org/10.36880/c10.02212.

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The effect of government expenditure on economic growth has attracted attention of economist for long time. In this context, this paper aims to understand that government expenditure subjects to whether constant, decreasing or increasing yield. For this reason, countries were classified as with low government expenditure, medium government expenditure and high government expenditure, and were added into empirical analysis in the paper. The number of countries included in the analysis is 138 and the analysis covers the period between years 1980 and 2016. In this context, empirical analysis consists of fixed effect model, random effect model, hausman test and unbalanced panel data technique was applied. According to results of analysis, when government expenditure increases as quantitative, it’s effect on economic growth decreases but it still affects economic growth positively. To make public expenditures lately subject to law of diminishing returns, it may come into question that public expenditures is canalized to technology intensive areas. In order to increase productivity in the public expenditures and to shift out diminishing returns, level of spendings on human capital can be increased.
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Çevik, Savaş, Ahmet Ay, and Mahamane Moutari Abdou Baoua. "Natural Resources Revenue, Fiscal Policy and Economic Growth: Panel Data Analysis for Sub-Saharan Africa Countries." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c09.02005.

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The main purpose of this study is to examine the relationship between natural resources revenue, fiscal policy and economic growth for 35 selected Sub-Saharan African countries. The panel data covering the periods of 1986-2014 was analyzed by using the fixed/random effect model estimation and the panel causality test. We also performed the panel unit root test in order to insure that our variables are stationary. The empirical results indicate that there is insignificant negative effect of natural resources revenue and bad fiscal policy on the economic growth. However, there is significant positive effect of capital formation on economic growth. We also found a bidirectional causality relationship between Natural resources rents and economic growth. There is also unidirectional causality link from government final consumption expenditure to Natural resources revenue and from Natural resources revenue to capital formation. These empirical results mean that Sub-Saharan African countries apply bad fiscal policy to improve the natural resource sector which does not efficiently contribute to the economic growth. This study suggests that countries of Sub-Saharan Africa must apply improved fiscal policy in order to add tax revenue to their total revenue; and they must also use the natural resources revenue in order to invest in other sectors such as education, manufacturing and agriculture.
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Bayrak, Metin, Kadyrbek Sultakeev, and Dastan Aseinov. "Effect of Efficiency on Interest Rate in Microfinance Systems of Some Transition Economies." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01566.

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Although the share of microfinance institutions in financial sector of Transition Economies are increasing, the level of interest rates charged by microfinance institutions are very high than normal bank interest rates. Because in these countries the main reasons of high interest rates are operational cost, funding costs, credit risk, inflation and target profit of MFIs. The main purpose of this paper is to analyze the effect of efficiency on interest rate in microfinance system of sampled transition economies. This study uses MIX data that runs from 2000 to 2014 for transition economies countries. The efficiency of microfinance institutions in sampled transition economies measured by applying Stochastic Frontier Approach. The impact of efficiency on interest rate will be analyzed using fixed effects and random effects panel data models.
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Koşan, Naime İrem, and Sudi Apak. "Trade Openness and Macroeconomic Policy in OECD Countries." In International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01373.

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Abstract:
Trade openness has been subject to an important issue many studies in literature. It allows us to analyze potential trade as a percentage of gross domestic product. Total value of international trade in goods and services shows the countries’ integration into the world economy. Generally, small countries are more integrated because of their dependency on imports. On the other hand, there many variables which effects trade integration. Our study focuses on to analyze the effects on trade openness and make inferences for OECD countries. In this paper we aim to examine the relationship between trade openness and macro-economic indicators in OECD countries. To analyze the relationship, we used panel data regression analysis. Data obtained from World Bank, The Heritage Foundation and United Nations Conference on Trade and Development (UNCTAD). The panel data covers 2000-2013 periods and 33 countries. The analysis made through the Stata econometric packet program. We predicted pooled, fixed effects and random effects panel data models and analyzed them. It has been found that gross domestic savings, investment freedom, and unemployment rate are statistically significant. The results found in this paper show that investment freedom and gross domestic savings have positive effect on trade openness as we expected. On the other hand, unemployment rate has positive effect on trade openness. These findings have important policy implications for OECD countries. Our interpretation of these findings is that, integration to world economy has generally positive effects for macroeconomic factors in OECD countries, but it should be limited.
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Aseinov, Dastan. "Factors Affecting Cost Efficiency in the Banking Sector of Kyrgyzstan." In International Conference on Eurasian Economies. Eurasian Economists Association, 2017. http://dx.doi.org/10.36880/c08.01907.

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Instabilities in the banking sector have had an adverse effect on the economy as a whole, since the largest share in the financial system and financial intermediation in Kyrgyzstan have been captured by banking sector. Economic efficiency in banking can be viewed as a source of financial stability of banking system. Economic efficiency of the banking is more important challenge not only for shareholders and managers of banks, and also for regulation and supervision authorities, and public and potential investors. The aim of this study is to examine factors affecting the banking cost efficiency for Kyrgyz banks. It is also important to choose the appropriate approach in measurement of banking cost efficiency, since there are many different methods. In this study preferred stochastic frontier approach which assumes random error term which captures sampling, measurement and specification errors. We adopted stochastic cost frontier model proposed by Battese ve Coelli (1995) which also allow to examine investigate the impact of variables on efficiency. We used unbalanced panel data set captured 17-23 Kyrgyz commercial banks for period of 2000-2013. Obtained results suggest that capitalization, foreign ownership, credit risk, liquidity risk and currency risk have most influence on cost efficiency scores of banks calculated averagely at level of 0,766. Overall results indicate that domestic banks more cost efficient than domestic private and foreign banks. Average cost efficiency scores of domestic banks, foreign and separately public banks are 0,848; 0,649 and 0,875, respectively.
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