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Journal articles on the topic 'Panel data regression performance'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Setya, Muhammad Setya Pratama, Riki Afriansyah, and Pidaryani. "Indonesian Banking Financial Performance on Profitability Using Panel Data Regression." Agregat: Jurnal Ekonomi dan Bisnis 8, no. 2 (2024): 131–45. http://dx.doi.org/10.22236/agregat_vol8.i2/16339.

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This study's goal is to determine if the return on assets (ROA) variable posted on the Indonesia Stock Exchange, together with the loan-to-deposit ratio (LDR), capital adequacy ratio (CAR), and non-performing loans (NPL), are correlated with profitability. The impact of return on assets (ROA) factors on the banking sector is investigated in this study. The research used a data sample of 245 from 49 financial institutions that have continuously fulfilled the necessary data requirements for a minimum of five years. Panel data, testing of panel data, testing of classical assumptions, and multiple

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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 (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 r

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Wang, Chunling, and Xiaoyan Lin. "Bayesian Semiparametric Regression Analysis of Multivariate Panel Count Data." Stats 5, no. 2 (2022): 477–93. http://dx.doi.org/10.3390/stats5020028.

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Panel count data often occur in a long-term recurrent event study, where the exact occurrence time of the recurrent events is unknown, but only the occurrence count between any two adjacent observation time points is recorded. Most traditional methods only handle panel count data for a single type of event. In this paper, we propose a Bayesian semiparameteric approach to analyze panel count data for multiple types of events. For each type of recurrent event, the proportional mean model is adopted to model the mean count of the event, where its baseline mean function is approximated by monotone

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Castro, José Raúl, Tuesman Castillo, and Cesar Saravia. "Active Modeling of Solar Panel Performance using K-Means and Multiple Linear Regression with Environmental Variables and Historical Data." IOP Conference Series: Earth and Environmental Science 1434, no. 1 (2024): 012010. https://doi.org/10.1088/1755-1315/1434/1/012010.

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Abstract The present study focuses on the relationship between environmental variables and solar panel performance, using clustering techniques and regression analysis. The K-Means algorithm was implemented to cluster data according to environmental conditions, and multiple linear regression was applied to mathematically model the performance of the panels. This approach allows for the identification of patterns in solar energy production considering solar irradiation and temperature on the solar panels under various conditions. The photovoltaic system of the Universidad Técnica Particular de

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Purwaningsih, S. S., Anny Suryani, and Adolf Taylor. "PENGARUH INFLASI, SUKU BUNGA, DAN INDEKS HARGA SAHAM GABUNGAN (IHSG) TERHADAP KINERJA REKSADANA DENGAN PERMODELAN REGRESI DATA PANEL." Sigma-Mu 7, no. 2 (2017): 1–16. http://dx.doi.org/10.35313/sigmamu.v7i2.128.

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Correlation analysis is used to observe the effect of independent variables on the dependent variable, while the regression analysis is used to determine the shape of the relationship between the variables, and also for predicting or forecasting. The correlation meant in this study is the correlation between inflation, interest rates, the Composite Stock Price Index (CSPI) on the performance of mutual fund products; while the regression model meant in this case is the regression model between inflation, interest rates and stock index mutual fund product performance of some companies Investment

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Hui, Xinye. "Variable Selection for Panel Data Linear Regression Models with Fixed Effects." International Journal of Social Sciences and Public Administration 2, no. 2 (2024): 98–107. http://dx.doi.org/10.62051/ijsspa.v2n2.17.

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This paper introduces a robust variable selection mechanism for fixed effect panel data models by integrating compound quantile regression with the adjusted MIXED penalty method. Initially, forward orthogonal deviation transformation is employed to eliminate the influence of fixed effects. Subsequently, the MIXED penalty is utilized to construct a penalized compound quantile regression objective function, facilitating simultaneous estimation of regression coefficients and variable selection. This method not only effectively eliminates the interference of fixed effects but also demonstrates out

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Georgescu, Irina, Ionuț Nica, Camelia Delcea, Nora Chiriță, and Ștefan Ionescu. "Assessing Regional Economic Performance in Romania Through Panel ARDL and Panel Quantile Regression Models." Sustainability 16, no. 21 (2024): 9287. http://dx.doi.org/10.3390/su16219287.

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This study aims to address the persistent regional economic disparities in Romania by evaluating economic performance through Panel Autoregressive Distributed Lag (pARDL) and panel quantile regression (PQR) models. The analysis focuses on the impact of key economic variables, including research and development expenditures (CTCRD), IT infrastructures (IT), the number of universities (FCL), and the average number of employees (NMSP), on regional gross domestic product (GDPR). Using data from the Romanian National Institute of Statistics for the period 2003–2022, this research seeks to understan

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Wahile, Ganesh S., Srikant Londhe, Shivshankar Trikal, et al. "Performance analysis of photovoltaic panel using machine learning method." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 1 (2024): 19–30. https://doi.org/10.11591/ijeecs.v34.i1.pp19-30.

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Demand for energy is increasing as the world’s population grows, fossil fuels deplete on a daily basis, and climate conditions change. Renewable energy is more important than ever. Solar energy is the most accessible and cost-effective renewable energy source available today. Photovoltaic (PV) cells are the most promising way to convert solar energy into electricity. Wind speed, ambient temperature, incident radiation rate, and dust deposition are some of the internal and external variables that affect photovoltaic panel performance. Unwanted heat from the sun’s rays raises panel t

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Wahile, Ganesh S., Srikant Londhe, Shivshankar Trikal, et al. "Performance analysis of photovoltaic panel using machine learning method." Indonesian Journal of Electrical Engineering and Computer Science 34, no. 1 (2024): 19. http://dx.doi.org/10.11591/ijeecs.v34.i1.pp19-30.

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Demand for energy is increasing as the world’s population grows, fossil fuels deplete on a daily basis, and climate conditions change. Renewable energy is more important than ever. Solar energy is the most accessible and cost-effective renewable energy source available today. Photovoltaic (PV) cells are the most promising way to convert solar energy into electricity. Wind speed, ambient temperature, incident radiation rate, and dust deposition are some of the internal and external variables that affect photovoltaic panel performance. Unwanted heat from the sun’s rays raises panel temperatures,

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Lmakri, Aziz, Abdelhadi Akharif, and Amal Mellouk. "Optimal Detection of Bilinear Dependence in Short Panels of Regression Data." Revista Colombiana de Estadística 43, no. 2 (2020): 143–71. http://dx.doi.org/10.15446/rce.v43n2.83044.

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In this paper, we propose parametric and nonparametric locally andasymptotically optimal tests for regression models with superdiagonal bilinear time series errors in short panel data (large n, small T). We establish a local asymptotic normality property– with respect to intercept μ, regression coefficient β, the scale parameter σ of the error, and the parameter b of panel superdiagonal bilinear model (which is the parameter of interest)– for a given density f1 of the error terms. Rank-based versions of optimal parametric tests are provided. This result, which allows, by Hájek’s representation

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Mulyani, Mulyani, and Yasinta Fitriani. "Determinants of Finance Performance of State-Owned Enterprises (BUMN) Banking Using Data Panel Regression." Accounting and Business Journal 4, no. 2 (2022): 92. http://dx.doi.org/10.54248/abj.v4i2.4398.

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The purpose of this study was to determine whether there is an effect of Capital Adequacy Ratio (CAR), Net Performing Financing (NPF), Financing to Deposit Ratio (FDR), and Operating Expenses and Operating Income (BOPO) on the profitability of state -owned banking companies listed on the IDX. simultaneously and partially. The sample in this study were 7 banking companies listed on the IDX whose financial statement data were listed on the Indonesia Stock Exchange for the 2015- 2020 period. Data analysis using Panel Data Regression Test, hypothesis testing using the coefficient of determination

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Ji, Jie, and Sang-Hyeon Jin. "Panel Data Regression of Environmental Regulations on Corporate Performance in Chinese Carbon Trading Scheme." Journal of Environmental Policy and Administration 32, no. 4 (2024): 339–65. https://doi.org/10.15301/jepa.2024.32.4.339.

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Kaličanin, Tijana, Aleksandar Zdravković, and Mladenka Balaban. "Profitability determinants in the Serbian insurance sector: A panel data approach." International Review, no. 1-2 (2024): 197–202. http://dx.doi.org/10.5937/intrev2401197k.

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The aim of this paper was to analyze profitability determinants in the insurance sector of the Republic of Serbia. The study relies on empirical research that involves the evaluation of panel regression models including all insurance companies that operated in the Republic of Serbia in the period 2005-2021. The data are collected from the financial statements published by the National Bank of Serbia, covering unbalanced panel that includes a total number of 32 life insurance, non-life insurance and reinsurance companies. The results of the panel regression models indicate that insurance-specif

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Jaya, David Singh. "Impact of Macroeconomics Factors on Stok Market Performance “A Panel Data Analysis”." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–5. https://doi.org/10.55041/ijsrem40086.

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Using a panel data analysis approach, this research identifies the impact of GDP growth on stock prices across sector wise indices including BSE Sensex, Bankex, FMCG, Oil &Gas Healthcare and Information technology in India. This study explores the relationship between macroeconomics factors specifically GDP growth and Indian stock market. The analysis uses descriptive statistics and quantifies the relationship with ordinary least squares (OLS) regression. The results show that higher stock returns are driven by larger GDP growth across all sectors. GDP growth in regression coefficients has

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Tajudeen, Alaburo, Seun Samuel, and Bolanle Rofiat. "Does CSR expenditure reward the financial performance of Nigerian quoted oil and gas companies: A pooled panel regression model?" Ekonomski pogledi 26, no. 1 (2024): 1–39. http://dx.doi.org/10.5937/ep26-51141.

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Nigeria's oil and gas industry has significantly harmed the environment, with a 5 to 10 percent loss of mangrove ecosystems and the deforestation of 8,400 km² of rainforest. The industry has been criticized for prioritizing profits over social and environmental responsibilities. The research examines how Corporate Social Responsibility (CSR) expenditure affects the financial performance of Nigeria's oil and gas sector. By utilizing a positivist approach guided by quantitative methodology, the study analyses panel data from the annual and sustainability reports of listed oil and gas companies f

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Kumar, Sunil, and Vipin Kumar Meena. "Credit Risk and financial performance banks: a panel data analysis." International Journal of Accounting, Business and Finance 1, no. 2 (2022): 36–47. http://dx.doi.org/10.55429/ijabf.v1i2.70.

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The NIFTY50 index is the premier benchmark for the Indian stock market, comprising 50 companies from 13 diverse sectors. As five of the country's largest commercial banks are part of this index, their performance indicates the overall market performance. This study aimed to investigate the correlation between credit risk and the financial performance of these NIFTY50-indexed banks. Utilizing secondary data collected from the banks' annual reports over the past decade (2012-2021), the study employed panel data regression analysis to examine the relationship between return on equity and return o

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Karki, Dipendra, Ganesh Bhattarai, Rewan Kumar Dahal, and Kunti Dhami. "Should income be diversified? A dynamic panel data analysis of Nepalese depository financial institutions." Investment Management and Financial Innovations 20, no. 3 (2023): 332–43. http://dx.doi.org/10.21511/imfi.20(3).2023.28.

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This study analyzes the possible impact of diversity in non-interest income on Nepalese Depository Financial Institutions (DFIs) performance. The study examines variables such as service fees, dividends on equity instruments, and the non-interest revenue ratio to total operational income as endogenous factors. The ROE serves as the key profitability indicator. Additionally, the study explores the impact of control variables on the performance of financial institutions, such as the cost-to-income ratio, the equity-to-total assets ratio, and the ratio of non-performing loans to total loans. Seco

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18

Wati, Agustina Sulistyo, and Lyna Latifah. "The Effect of Environmental Performance, Green Innovation, and Good Corporate Governance on Financial Performance." AJAR 7, no. 02 (2024): 296–323. https://doi.org/10.35129/ajar.v7i02.520.

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The aim of this research is to analyze the influence of environmental performance, green innovation, and good corporate governance on financial performance. The population used is manufacturing companies listed on the Indonesia Stock Exchange in 2020 - 2022. This research uses a panel data regression model with a population of 495 units. The number of samples used was 109 units selected using the purposive sampling method. This research uses documentation data collection techniques where data is obtained through financial reports, annual reports and company sustainability reports. The results

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You, Jinhong, and Xian Zhou. "ASYMPTOTIC THEORY IN FIXED EFFECTS PANEL DATA SEEMINGLY UNRELATED PARTIALLY LINEAR REGRESSION MODELS." Econometric Theory 30, no. 2 (2013): 407–35. http://dx.doi.org/10.1017/s0266466613000352.

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This paper deals with statistical inference for the fixed effects panel data seemingly unrelated partially linear regression model. The model naturally extends the traditional fixed effects panel data regression model to allow for semiparametric effects. Multiple regression equations are permitted, and the model includes the aggregated partially linear model as a special case. A weighted profile least squares estimator for the parametric components is proposed and shown to be asymptotically more efficient than those neglecting the contemporaneous correlation. Furthermore, a weighted two-stage

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Dai, Xiaowen, and Libin Jin. "Minimum distance quantile regression for spatial autoregressive panel data models with fixed effects." PLOS ONE 16, no. 12 (2021): e0261144. http://dx.doi.org/10.1371/journal.pone.0261144.

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This paper considers the quantile regression model with individual fixed effects for spatial panel data. Efficient minimum distance quantile regression estimators based on instrumental variable (IV) method are proposed for parameter estimation. The proposed estimator is computational fast compared with the IV-FEQR estimator proposed by Dai et al. (2020). Asymptotic properties of the proposed estimators are also established. Simulations are conducted to study the performance of the proposed method. Finally, we illustrate our methodologies using a cigarettes demand data set.

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As'ad, Akbar Syaifuddin, and Rosinta Ria Panggabean. "Does intellectual capital drive firm performance? Data from secondary sector companies on the Indonesia Stock Exchange." Jurnal Inovasi Ekonomi 6, no. 3 (2021): 107–16. https://doi.org/10.22219/jiko.v6i03.18468.

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This research aims to determine the effects of Intellectual Capital, Leverage, and Liquidity on Firm Performance. Sample are secondary sector companies on the Indonesia Stock Exchange and used panel data regression for analysis; this research found that Intellectual Capital and Liquidity had a significant positive effect on Firm Performance, and Leverage did not have a considerable impact.

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Sar, Ashok, and Kshirod Panigrahi. "The dynamics of financial performance and market performance in the context of Indian banking industry." F1000Research 13 (February 4, 2025): 657. https://doi.org/10.12688/f1000research.151628.2.

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Background This study aims to gain insight into the effect of banks’ financial performance on their market performance. We conceptualized the research subject on the assumption that the financial performance of an organization is the most important criterion for triggering movement in its stock price. We explored various models and parameters to evaluate financial performance of banks and found CAMELS being one of the most comprehensive and appropriate model. We considered share price growth of banks to measure their stock market performance Methods We collected financial and stock market data

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Sar, Ashok, and Kshirod Panigrahi. "The dynamics of financial performance and market performance in the context of Indian banking industry." F1000Research 13 (June 18, 2024): 657. http://dx.doi.org/10.12688/f1000research.151628.1.

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Background This study aims to gain insight into the effect of banks’ financial performance on their market performance. We conceptualized the research subject on the assumption that the financial performance of an organization is the most important criterion for triggering movement in its stock price. We explored various models and parameters to evaluate financial performance of banks and found CAMELS being one of the most comprehensive and appropriate model. We considered share price growth of banks to measure their stock market performance Methods We collected financial and stock market data

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Singh, Surat, and Tegjit Kaur Sachdeva. "The Financial Performance of Selected IT Companies in India; A Panel Data Approach." Shanlax International Journal of Arts, Science and Humanities 7, no. 3 (2020): 7–14. http://dx.doi.org/10.34293/sijash.v7i3.411.

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Despite the global economy growing up, the Indian Information technology industry is maintaining a steady pace of growth. Financial analysis is an aspect of the overall business finance function that involves examining historical data to gain information about the current and future financial health of a company. IT has the great possibility of becoming an engine of accelerated economic growth, efficiency, improvement for all sectors of the economy, developing India’s position in the export market, improving trade insufficiency, and means of efficient governance. It enhances the way into infor

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MacCarthy, John, and Helena Ahulu. "Does Capital Structure Affects Firms’ Performance in Ghana? Panel Data Analysis." Accounting and Finance Research 8, no. 4 (2019): 131. http://dx.doi.org/10.5430/afr.v8n4p131.

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This paper examines the effect of capital structure on the firms’ performance. The study collected data from seventeen firms listed on the Ghana Stock Exchange from 2009 to 2018. A quantitative research technique is used to collect data to test two hypotheses. Panel data regression is employed to determine the effect of capital structure on firms’ performance. The study revealed that short-term debt and total debt accounted for 67% and 76.3% respectively of capital used to finance the operations for the period. Furthermore, the study revealed that there is significant and negative relationship

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Hančlová, Jana, and Lucie Chytilová. "Education Performance of Czech Public Higher Education Institutions Using Data Envelopment and Panel Regression Analysis." Journal on Efficiency and Responsibility in Education and Science 16, no. 4 (2023): 313–28. http://dx.doi.org/10.7160/eriesj.2023.160405.

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The priority goals of the development of Czech higher education include ensuring the quality of its activities, improving the availability and relevance of flexible forms of education, and increasing efficiency in teaching and research. Several professional articles evaluated educational efficiency, but the proposed models did not include unemployed graduate students. The paper assesses education efficiency at public universities in the Czech Republic in 2020-2021 using an extended Data envelopment model with undesirable outputs, non-proportional and non-radial measures of distance from the ef

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Ajao, K., M. O. Adenomon, and M. U. Adehi. "Comparing some panel data estimators in the presence of autocorrelation." Science World Journal 18, no. 3 (2023): 398–403. http://dx.doi.org/10.4314/swj.v18i3.12.

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In this work, panel data that were characterized by features of no first order autocorrelation was modelled using three estimation models: Pool Regression, Fixed Effect, Random Effect models. Panel data like other aspects of econometrics, exploits regression analysis as one of the statistical tools to formulate and illustrate models. The regression analysis requires some assumptions which, if violated, results to one problem or the other. In such case, the Pooling method of estimation remains linear, unbiased and normally distributed but might not be efficient as the estimates of the parameter

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Antoun, Roger, Ali Coskun, and Bojan Georgievski. "Determinants of financial performance of banks in Central and Eastern Europe." Business and Economic Horizons 14, no. 3 (2018): 513–29. https://doi.org/10.15208/beh.2018.37.

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The aim of this study is to investigate the bank-specific, industry-specific, and macroeconomic determinants of the financial performance of banks in Central and Eastern European Countries. For this purpose, first we determined the factors affecting performance, based on findings in the literature. We constructed a financial performance index (FPI) based on CAMEL ratios and then ran the computed index on the aforementioned determinants. In the analysis, we used unbalanced panel data covering the period 2009–2014, which were collected from from the Bankscope database, World Development In

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Amamou, Meriam. "Corporate Social Responsibility Disclosure and Corporate Financial Performance: A Panel Data Analysis." International Journal of Membrane Science and Technology 10, no. 2 (2023): 2549–58. http://dx.doi.org/10.15379/ijmst.v10i2.2907.

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This study investigates the relationship between Corporate Social Responsibility (CSR) and Corporate Financial Performance (CFP) and how CSR activities impact a company's financial performance. We used STATA and a panel regression to analyze the data from sixty French-listed firms from 2012 to 2020. The data was obtained from the DataStream website. The results showed that CSR has a positive and significant impact on CFP. Additionally, companies that engage in socially responsible activities positively impact their financial performance. However, size and leverage have a negative impact on a c

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Kotte, Sathish, and Irala Lokanandha Reddy. "The influence of corporate governance factors on intellectual capital performance: Panel data evidence from the Indian banking sector." Banks and Bank Systems 18, no. 2 (2023): 101–12. http://dx.doi.org/10.21511/bbs.18(2).2023.09.

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This study empirically examined the relationship between corporate governance factors, namely CEO duality, independent directors, board meeting frequency, board size, gender diversity, audit committee size and audit committee meetings, and intellectual capital performance. The above premise is studied using data of 26 commercial banks listed on the Indian Stock Exchange (NSE) from 2010 to 2020. The study used purposive sampling as the methodology and multiple regression models with VAIC and ROA as attributes. VAIC measures the efficiency of intellectual capital. ROA is used to determine financ

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Aris, Bachtiar, and Anny Nainggolan Yunieta. "Financing For Sustainability and Bank Performance: Case of G-20 Countries." International Journal of Current Science Research and Review 06, no. 05 (2023): 2924–36. https://doi.org/10.5281/zenodo.7953513.

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<strong>ABSTRACT: </strong>Unstable economic conditions and high uncertainty resulting from the COVID-19 pandemic and geopolitical tensions between Russia and Ukraine have made it difficult for global economic recovery. Banks has an important role in the economy to support the implementation of a sustainable economy through the disbursement of sustainable financing. The bank expects sustainability financing has a positive impact on financial performance. It can attract investors because one of the main priorities of investors at this time is a sustainable business. The study uses 68 banks from

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Jeet, Vikram, and Parvesh Kumar Aspal. "The Determinant of Financial Performance of Indian Public Sector Banks- A Panel Data Approach." International Journal of Financial Research 11, no. 5 (2020): 285. http://dx.doi.org/10.5430/ijfr.v11n5p285.

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In the accelerated development of an economy, the role of a vibrant banking system and financial structure is considered as highly indispensable. The banking sector is recognized as an important element to portrait the financial and economic strength of a country. The economic importance of the banking system may be considered in the form of capital formation, inspiring innovation, monetization, and facilitator of monetary policy. The present research work investigates the association between banks' profitability and the banks’ specific factors of Indian Public Sector Banks. The research work

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Ristati, Raihan Cahaya, Nurlela, Ghazali Syamni, and Zulham Ibrahim. "The Effect of Ownership Structure on Financial Performance in Lippo Group Company." Indonesian Journal of Innovation and Applied Sciences (IJIAS) 1, no. 3 (2021): 245–49. http://dx.doi.org/10.47540/ijias.v1i3.299.

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This study examined the effect of Ownership Structure on Financial Performance at Lippo Group companies in Indonesia from 2015 to 2019. The number of samples in this study was 14 companies and 60 observations. The data were accessed on www.idx.go.id. The data used in this study was panel data or a combination of cross-section data and time-series data. The data analysis method in this research was the Panel Data Regression analysis method with panel estimation model Random Effect Model. The results showed that Managerial ownership and institutional ownership had a negative and significant effe

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Sasaki, Yuya, and Yi Xin. "xtusreg: Software for dynamic panel regression under irregular time spacing." Stata Journal: Promoting communications on statistics and Stata 22, no. 3 (2022): 713–24. http://dx.doi.org/10.1177/1536867x221124567.

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We introduce a new command, xtusreg, that estimates parameters of fixed-effects dynamic panel regression models under unequal time spacing. After reviewing the method, we examine the finite-sample performance of the command using simulated data. We also illustrate the command with the National Longitudinal Survey Original Cohorts: Older Men, whose personal interviews took place in the unequally spaced years of 1966, 1967, 1969, 1971, 1976, 1981, and 1990. The methods underlying xtusreg are those discussed by Sasaki and Xin (2017, Journal of Econometrics 196: 320–330).

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Shobayo, P. B. "Supply Chain Management and Operational Performance in Nigeria: A Panel Regression Model Approach." International Journal of Entrepreneurial Knowledge 5, no. 2 (2017): 66–77. http://dx.doi.org/10.1515/ijek-2017-0012.

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Abstract The research examined the effect of supply chain management on firm’s operational performance in Nigeria manufacturing companies with specific interest on supply chain strategy and supply chain flexibility. A random effect model was developed to examine whether there is a significant effect on the variables identified, and the level of significance that exist in the variables. This study adopts an ex post-facto type of descriptive research design using Secondary sources to generate the data. The data were gathered from the annual report of manufacturing companies between 2011 and 2016

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Lmakri, A., A. Akharif, and A. Mellouk. "Estimation in short-panel data models with bilinear errors." Mathematical Modeling and Computing 10, no. 3 (2023): 682–92. http://dx.doi.org/10.23939/mmc2023.03.682.

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Many estimation methods have been proposed for the parameters of the regression models with serially correlated errors. In this work, we develop an asymptotic theory for estimation in the short panel data models with bilinear error. We propose a comparative study by simulation between several estimators (adaptive, ordinary and weighted least squares) for the coefficients of panel data models when the errors are bilinear serially correlated. As a consequence of the uniform local asymptotic normality property, we obtain adaptive estimates of the parameters. Finally, we illustrate the performance

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Yu, Yantuan, Jianhuan Huang, and Yanmin Shao. "The Sustainability Performance of Chinese Banks: A New Network Data Envelopment Analysis Approach and Panel Regression." Sustainability 11, no. 6 (2019): 1622. http://dx.doi.org/10.3390/su11061622.

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This paper develops a new network data envelopment analysis (DEA) model that simultaneously integrates the non-convex metafrontier and undesirable outputs and which is super efficient at performing dynamic network slacks-based measures. The model is employed to discuss the efficiency of 36 commercial banks in China during the years 2010–2014. The efficiency of these banks shows significant heterogeneity and the efficiency of most foreign banks has much room for improvement. Regarding both the non-convex metafrontier and the group frontier, state-owned banks perform the best, followed by joint-

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Brzozowska-Rup, Katarzyna, and Marzena Nowakowska. "Modelling road traffic safety indices by means of regression with panel data." Engineering Management in Production and Services 12, no. 4 (2020): 40–51. http://dx.doi.org/10.2478/emj-2020-0026.

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Abstract Although the occurrence of road accidents and the number of road accident casualties in almost all Polish voivodeships has decreased over the last few years, the rate of this change varies considerably from region to region. To provide a better understanding of such a tendency, panel data regression models are proposed to conduct this pilot research which evaluates the relative performance of Polish regions in terms of their road traffic safety. Panel data are multi-dimensional data which involve measurements over time. In the research, a voivodeship is a unit analysed at a group leve

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Agrawal, Karmendra Kumar, Shibani Khanra Jha, Ravi Kant Mittal, et al. "Predictive Modeling of Solar PV Panel Operating Temperature over Water Bodies: Comparative Performance Analysis with Ground-Mounted Installations." Energies 17, no. 14 (2024): 3489. http://dx.doi.org/10.3390/en17143489.

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Solar panel efficiency is significantly influenced by its operating temperature. Recent advancements in emerging renewable energy alternatives have enabled photovoltaic (PV) module installation over water bodies, leveraging their increased efficiency and associated benefits. This paper examines the operational performance of solar panels placed over water bodies, comparing them to ground-mounted solar PV installations. Regression models for panel temperature are developed based on experimental setups at BITS Pilani, India. Developed regression models, including linear, quadratic, and exponenti

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Jamel, Lamia, Monia Ben Ltaifa, Ahmed K. Elnagar, and Abdelkader Derbali. "Impact of Corporate Social Performance on Financial Performance: Case of Firms Listed on the Stock Exchange of Casablanca." Risk and Financial Management 2, no. 1 (2020): p51. http://dx.doi.org/10.30560/rfm.v2n1p51.

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This paper examines empirically the impact of corporate social performance (CSP) on financial performance (FP). The study relates to a panel of 32 firms listed on the Stock Exchange of Casablanca during the period of study from 2011 to 2017. The empirical findings obtained, by linear regressions on panel data, clearly find the lack of impact of the corporate social performance on the financial performance measured by the Return on Investment (ROI), Return on Equity (ROE) and Earnings Per Share (EPS) ratios. The influence of corporate social performance on financial performance is statistically

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Purnamasari, Keti. "Analisi Regresi Data Panel pada Kinerja Perbankan di Indonesia." Benefit: Jurnal Manajemen dan Bisnis 5, no. 2 (2020): 199–208. http://dx.doi.org/10.23917/benefit.v5i2.12492.

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Abstract- The determinants of bank performance can be grouped into three groups, namely; 1) bank specific factors related to management decisions and policy objectives, 2) industry factors related to industrial structure and market growth, and 3) macroeconomic factors that reflect the economic conditions in which the bank operates. This study analyzes the effect of bank-specific factors and industry factors on banking performance using panel data regression analysis on a sample of 39 Indonesian Commercial Banks during the 2015-2019 period. Bank specific factors consist of bank size, efficiency

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Kılıç, Salim, Ertuğrul Adıgüzel, and Erkan Atmaca. "Analysis of the Performance of Different Types of PV Panels in Spring and Summer Using Regression Methods." Applied Sciences 15, no. 1 (2025): 345. https://doi.org/10.3390/app15010345.

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The present study employs machine learning regression analyses to investigate the efficiency of photovoltaic (PV) panels utilizing solar energy under the influence of environmental factors. The experimental study was conducted on two 100-watt monocrystalline and two polycrystalline PV panels, which were divided into clean and dirty groups. The following variables were monitored and recorded for a period of six months: radiation, panel temperature, air temperature, wind speed, humidity, pressure, and ultraviolet (UV) radiation. Additionally, current, voltage, and power were recorded. These meas

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Ramadoni, Sri Purwaningsih, and Jesi Pebralia. "Analisis Intensitas Radiasi Matahari terhadap Efisiensi Panel Surya menggunakan Algoritma Support Vector Regression (SVR) dan Naïve Bayes." JFT: Jurnal Fisika dan Terapannya 12, no. 1 (2025): 87–101. https://doi.org/10.24252/jft.v12i1.56806.

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Solar radiation is an alternative energy in the form of heat from electromagnetic waves consisting of electric and magnetic fields. The utilization of solar energy to be converted into electrical energy can be done through solar panels with the photovoltaic effect mechanism. This research aims to analyze the effect of solar radiation intensity on solar panel efficiency using the Support Vector Regression (SVR) and Naïve Bayes algorithms. The research method used is a computational method with Machine Learning techniques. The algorithms used are the Support Vector Regression algorithm and Naïve

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Cui, Weijie, and Yong Li. "Bicluster Analysis of Heterogeneous Panel Data via M-Estimation." Mathematics 11, no. 10 (2023): 2333. http://dx.doi.org/10.3390/math11102333.

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This paper investigates the latent block structure in the heterogeneous panel data model. It is assumed that the regression coefficients have group structures across individuals and structural breaks over time, where change points can cause changes to the group structures and structural breaks can vary between subgroups. To recover the latent block structure, we propose a robust biclustering approach that utilizes M-estimation and concave fused penalties. An algorithm based on local quadratic approximation is developed to optimize the objective function, which is more compact and efficient tha

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Wang, Mu Shun. "Could Innovation Capital Impact on Firm Performance? Study by Panel Data Two Stage Regression with Board Composition." Applied Mechanics and Materials 145 (December 2011): 430–35. http://dx.doi.org/10.4028/www.scientific.net/amm.145.430.

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This paper found that the concepts of innovation capital are related to management performance, thereby supporting our hypothesis. Similar results are also obtained with two stage regression, which uses instrumental variables of corporate governance. The results demonstrate that independent directors have influence on innovation capital and management performance. This paper finds the coefficient of value-added innovation capital is negatively related to the grwth rate by return on assets and positively related to total production in two stages least square method. The results also show that A

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Li, Qiang Joshua, You Zhan, Guangwei Yang, Kelvin C. P. Wang, and Chaohui Wang. "Panel data analysis of surface skid resistance for various pavement preventive maintenance treatments using long term pavement performance (LTPP) data." Canadian Journal of Civil Engineering 44, no. 5 (2017): 358–66. http://dx.doi.org/10.1139/cjce-2016-0540.

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Various preventive maintenance (PM) treatments have been employed to restore pavement skid resistance for enhanced safety. This paper investigates the effectiveness of PM treatments using panel data analysis (PDA). Panel data analysis investigates the differences of cross-sectional information among treatments, but also the time-series changes within each treatment over time. Panel data with multiple years of friction data for four treatments (thin overlay, slurry seal, crack seal, and chip seal) at various climate, traffic, and pavement conditions are obtained from 255 long term pavement perf

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Yakubu, Y., and S. M. Egopija. "Modeling the Effect of Bank Specific Factors on Financial Performance of Commercial Banks in Nigeria: Panel Data Regression Approach." Nigerian Journal of Basic and Applied Sciences 28, no. 1 (2021): 40–47. http://dx.doi.org/10.4314/njbas.v28i1.6.

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Periodic checking and evaluation of financial performance of the banking sector is a way of sustaining the development of a nation’s economy. The key indicators of the banks’ financial performance are their return on assets (ROA) and return on equity (ROE). A bank’s financial performance is affected by some specific factors like capital adequacy ratio (CAR), credit risk (CRISK), management quality, liquidity ratio (LIQ.RAT.) and bank size. This work first compares average financial performance of some sampled commercial banks in Nigeria (UBA, GTB, ZENITH, FIRST, and ACCESS banks) based on the

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Putra, Desry Ponisa, and Seto Sulaksono Adi Wibowo. "EFFECT OF FINANCIAL PERFORMANCE AGAINST MARKET PERFORMANCE IN BANKING." JOURNAL OF APPLIED MANAGERIAL ACCOUNTING 2, no. 1 (2018): 1–5. http://dx.doi.org/10.30871/jama.v2i1.723.

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This study aims to examine the effect of the financial performance of the banking market performance. This study used a sample of banking companies listed in Indonesia Stock Exchange 2011-2013. Financial Kineja measured using CAMEL (Capital, Asset Quality, Management, Earnings and Liquidity). market-based financial performance is measured by stock returns, variable we used in this study are the independent variables which covers CAR, DER, ROA, LDR. Data research using panel data and methods of data analysis using simple linear regression. influence the financial performance against the perform

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Arisha, Bella, ,. Titin Agustin Nengsih, Nanda Okti Willyandari, Silvi Maulida, and Susilawati Susilawati. "IMPLEMENTATION OF PANEL DATA REGRESSION ON PROFITABILITY SHARIA STOCK IN THE TRADE SUB SECTOR." Jurnal Samudra Ekonomika 9, no. 1 (2025): 18–27. https://doi.org/10.33059/jse.v9i1.11026.

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Stocks are certificates that show proof of ownership of a company, and shareholders have claim rights to the company's profits and assets. To measure the company's performance in stocks, several ratios can be used. This study aims to determine the effect of net profit margin (NPM), current ratio (CR), and total asset turnover (TATO) on the profitability (ROA) of Retail Trading companies on the IDX. In this study using descriptive quantitative methods and the analysis used is panel data regression analysis. Panel data regression analysis is used to determine the effect of financial ratios on co

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Martyushev, Nikita V., Vladislav Spitsin, Roman V. Klyuev, et al. "Predicting Firm’s Performance Based on Panel Data: Using Hybrid Methods to Improve Forecast Accuracy." Mathematics 13, no. 8 (2025): 1247. https://doi.org/10.3390/math13081247.

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The problem of predicting profitability is exceptionally relevant for investors and company owners making decisions about investment and business development. The global literature contains a number of studies where researchers predict the profitability of firms using various methods, including modern machine learning. However, these works hardly take advantage of panel data. This paper takes advantage of additional capabilities offered by panel data and proposes hybrid forecasting methods based on panel data, which allow significantly improving the accuracy of predicting the profitability. Ou

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