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Journal articles on the topic 'Empirical analysis'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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1

Prosser, Alexander. "Empirical Analysis." Central and Eastern European eDem and eGov Days 342 (March 17, 2022): 177–88. http://dx.doi.org/10.24989/ocg.v.342.6.

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2

Madan Lal, Madan Lal. "Consumer Food Purchase Intentions: An Empirical Analysis." Indian Journal of Applied Research 3, no. 5 (October 1, 2011): 392–93. http://dx.doi.org/10.15373/2249555x/may2013/118.

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3

TAMURA, Suguru. "A first empirical analysis of JIS lifespan." Synthesiology 9, no. 4 (2016): 198–215. http://dx.doi.org/10.5571/synth.9.4_198.

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TAMURA, Suguru. "A first empirical analysis of JIS lifespan." Synthesiology English edition 9, no. 4 (2016): 197–212. http://dx.doi.org/10.5571/syntheng.9.4_197.

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5

Singh, Monalisa, and Dilfraz Singh. "An Empirical Analysis of India’s Merchandise Trade." Paripex - Indian Journal Of Research 3, no. 8 (January 15, 2012): 71–74. http://dx.doi.org/10.15373/22501991/august2014/22.

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6

Raiyani, Dr Jagdish R., and Dr Gaurav Lodha. "Evolution of Non-Performing Assets: An Empirical Analysis." Indian Journal of Applied Research 1, no. 3 (October 1, 2011): 1–2. http://dx.doi.org/10.15373/2249555x/dec2011/1.

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7

Kustova, A., and I. Rozmainsky. "Empirical Analysis of Generalized Trust in Modern Russia." Economic Herald of the Donbas, no. 4 (62) (2020): 9–22. http://dx.doi.org/10.12958/1817-3772-2020-4(62)-9-22.

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Today the concept of trust plays an important role in economics, but there is a lack of both works devoted to the determinants of generalized trust in modern Russia and relationships between the crises and trust. The Russian economy has suffered several significant recessions in recent years, the most serious of which were crises of 2008 and 2014. It would be interesting to check whether there was a trust change after these events in Russia. The current study has two purposes: the first one is to identify determinants of trust in modern Russia, the second one is to check whether the economic crises of 2008-2009 and 2014-2015 affected the level of generalized trust with the assumption that only population of working age was affected. The study is based on the RLMS-HSE survey. For the purposes of this paper the random-effects ordered logistic models and difference-in-difference ordered logistic models are used. We conclude that the most important determinants of trust are political confidence, age, living in a countryside, higher education; the 2008 crisis did not make influence on trust, where as the 2014 crisis affected on the trust in a positive direction due to the “propaganda effect”.
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8

Bi, Liekai, and Hae Jo Chung. "An Empirical Analysis on China’s Energy sector Investments." Journal of Global and Area Studies(JGA) 5, no. 1 (June 30, 2021): 129–47. http://dx.doi.org/10.31720/jga.5.1.7.

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9

Ahmed Mareai Senan, Nabil, Anwar Ahmad, Suhaib Anagreh, Mosab I. Tabash, and Eissa A. Al-Homaidi. "An empirical analysis of financial leverage and financial performance: Empirical evidence from Indian listed firms." Investment Management and Financial Innovations 18, no. 2 (June 24, 2021): 322–34. http://dx.doi.org/10.21511/imfi.18(2).2021.26.

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The purpose of this paper is to examine the determinants of financial performance, firm liquidity and financial leverage of Indian listed firms. This study uses both static models (pooled, fixed, and random effects) and Generalized Moment Methods (GMM). Financial leverage (FINLE) is defined by the ratio of total liabilities to total assets, whereas the current ratio and the quick ratio are used as firm liquidity factors. Further, a set of financial performance determinants such as return on assets, profit after tax, return on capital employed, return on equity, and Tobin-Q are used as independent factors. The results indicated that profit after tax, return on equity, return on capital employed, and Tobin-Q are the most significant financial success variables that influence financial leverage of Indian listed companies. Furthermore, profit after tax, return on capital invested, return on equity, and Tobin-Q are considered to have a substantial effect on financial leverage among the financial success indicators. In the case of firm liquidity, the findings show that the current ratio and the quick ratio have a substantial effect on the financial leverage of Indian listed companies.
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10

Prakash, Amit, Subrata K. Mitra, and V. B. Singh. "Analysis of Empirical Data." Social Scientist 28, no. 9/10 (September 2000): 87. http://dx.doi.org/10.2307/3517977.

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11

Raudenbush, Stephen W., and Anthony S. Bryk. "Empirical Bayes Meta-Analysis." Journal of Educational Statistics 10, no. 2 (June 1985): 75–98. http://dx.doi.org/10.3102/10769986010002075.

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As interest in quantitative research synthesis grows, investigators increasingly seek to use information about study features—study contexts, designs, treatments, and subjects—to account for variation in study outcomes. To facilitate analysis of diverse study findings, a mixed linear model with fixed and random effects is presented and illustrated with data from teacher expectancy experiments. This strategy enables the analyst to (a) estimate the variance of the effect size parameters by means of maximum likelihood; (b) pose a series of linear models to explain the effect parameter variance; (c) use information about study characteristics to derive improved empirical Bayes estimates of individual study effect sizes; and (d) examine the sensitivity of all substantive inferences to likely errors in the estimation of variance components.
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Raudenbush, Stephen W., and Anthony S. Bryk. "Empirical Bayes Meta-Analysis." Journal of Educational Statistics 10, no. 2 (1985): 75. http://dx.doi.org/10.2307/1164836.

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13

Cutillo, L., and U. Amato. "Localized empirical discriminant analysis." Computational Statistics & Data Analysis 52, no. 11 (July 2008): 4966–78. http://dx.doi.org/10.1016/j.csda.2008.04.015.

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14

Brinkmann, Emile J., Paul M. Horvitz, and Ying-Lin Huang. "Forbearance: An empirical analysis." Journal of Financial Services Research 10, no. 1 (March 1996): 27–41. http://dx.doi.org/10.1007/bf00120144.

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15

Buhr, Walter. "Empirical Analysis of Allocation." Journal of Contextual Economics – Schmollers Jahrbuch 107, no. 2 (February 1, 1987): 169–99. http://dx.doi.org/10.3790/schm.107.2.169.

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16

Klartag, B., and S. Mendelson. "Empirical processes and random projections." Journal of Functional Analysis 225, no. 1 (August 2005): 229–45. http://dx.doi.org/10.1016/j.jfa.2004.10.009.

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17

Halim, Kusuma Indawati. "An Empirical Analysis on the Integrity of Financial Statements." Journal of Advanced Research in Dynamical and Control Systems 12, no. 5 (May 30, 2020): 544–49. http://dx.doi.org/10.5373/jardcs/v12i5/20201973.

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18

Nath, Suresh Kr, and Nissar A. Barua. "State Financing of Education in India: An Empirical Analysis." Indian Journal of Applied Research 3, no. 3 (October 1, 2011): 75–79. http://dx.doi.org/10.15373/2249555x/mar2013/27.

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P. Mohanraj, P. Mohanraj, K. Gunasekaran K. Gunasekaran, S. Pounsamy S. Pounsamy, and S. Baby S. Baby. "An Empirical Analysis of Consumer Behaviour on Insurance Products." International Journal of Scientific Research 2, no. 11 (June 1, 2012): 328–30. http://dx.doi.org/10.15373/22778179/nov2013/103.

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20

Pires Manso, José R., António J. Fernandes de Matos, and Cláudia C. M. Carvalho. "Determinants of Regional Growth in Portugal: An Empirical Analysis." ECONOMICS & SOCIOLOGY 8, no. 4 (December 20, 2015): 11–31. http://dx.doi.org/10.14254/2071-789x.2015/8-4/1.

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21

Rattanawiboonsom, Vichayanan, and Muhammad Mahboob Ali. "Factors affecting entrepreneurial management in Bangladesh: an empirical analysis." Problems and Perspectives in Management 14, no. 3 (November 10, 2016): 677–90. http://dx.doi.org/10.21511/ppm.14(3-3).2016.11.

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Economic growth is considered as an important objective for national governments for which entrepreneurial management is required. This paper introduces issue on the business creation by women and the factors which are instrumental in their success including economics, institutions and infrastructural factors have been taken as major factors. The study used both primary and secondary sources. The study used hypotheses testing considering four factors of entrepreneurial facilities such as male and female entrepreneurs, infrastructural and institutional requirements, and economic factor whether helps to enhance growth of entrepreneurial management of the country. Authors’ observed that the nature of SME activities is less favorable for women entrepreneur than the men entrepreneur. The authors suggested that the number of women entrepreneurs at rural areas should be increased through establishing community banks at a cheaper rate. In the formal sector, financial organizations are being required for developing proper steps to poverty alleviation, public-private and foreign strategic alliances and implementation procedures are required with special emphasis on achieving sustainable development goals (SDGS) of the country. Keywords: Bangladesh, economic factor, entrepreneurship, women, infrastructure, institutional. JEL Classifications: L26, O43
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22

Mahima Ima, Ummay, Maliha Rabeta, Nurun Nahar, and Mst Sharmin Sultana Sumi. "Leverage-induced profitability in Bangladeshi firms: An empirical analysis." Investment Management and Financial Innovations 21, no. 1 (March 18, 2024): 356–72. http://dx.doi.org/10.21511/imfi.21(1).2024.27.

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The intent of the inquiry is to extensively examine the impact of leveraged financing on firm performance in Bangladesh, revealing the subtle dynamics of leverage-induced profitability and emphasizing the importance of a balanced debt and equity structure for financial sustainability in emerging markets. To explore how financial leverage in an entity’s capital structure affects a business’s financial sustainability and analyze how it may be used to improve company performance, the study has employed a 22-year data set (2000–2021) from the Dhaka Stock Exchange. To perform Fixed Effect Regression based on the Hausman test, ‘Firm performance’ is used as the regressand, which was further proxied by Earnings per Share, Return on Assets, Return on Equity, and Basic Earning Power respectively. Alternatively, proxy variables for the regressor ‘Financial leverage’ include Debt-to-Equity, Debt-to-Asset, Current Liability-to-Equity, and Current Liability-to-Asset. The test has shown that leverage in the capital structure could lead to both favorable and unfavorable effects in emerging countries like Bangladesh. Age, along with Debt-to-Asset, has shown a substantial negative impact on Earnings per Share. Also, the Debt-to-Asset and Current Liability-to-Asset negatively affect the Return on Assets. However, Debt-to-Equity, Current Liability-to-Equity and Size have a substantial positive impact, however Age has a negative effect on Return on Equity. Lastly, Debt-to-Asset has shown a positive impact on Basic Earning Power. The findings suggest that balancing debt and equity is crucial to benefit from leverage-induced profitability, and the models can be extended or amended across industries to expand the study on this persistent leverage-induced profitability argument.
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23

Shimi, G., C. Jerin Mahibha, and Durairaj Thenmozhi. "An Empirical Analysis of Language Detection in Dravidian Languages." Indian Journal Of Science And Technology 17, no. 15 (April 16, 2024): 1515–26. http://dx.doi.org/10.17485/ijst/v17i15.765.

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Objectives: Language detection is the process of identifying a language associated with a text. The proposed system aims to detect the Dravidian language that is associated with the given text using different machine learning and deep learning algorithms. The paper presents an empirical analysis of the results obtained using the different models. It also aims to evaluate the performance of a language agnostic model for the purpose of language detection. Method: An empirical analysis of Dravidian language identification in social media text using machine learning and deep learning approaches with k-fold cross validation has been implemented. The identification of Dravidian languages, including Tamil, Malayalam, Tamil Code Mix, and Malayalam Code Mix, is performed using both machine learning (ML) and deep learning algorithms. The machine learning algorithms used for language detection are Naive Bayes (NB), Multinomial Logistic Regression (MLR), Support Vector Machine (SVM), and Random Forest (RF). The supervised Deep Learning (DL) models used include BERT, mBERT and language agnostic models. Findings: The language agnostic model outperform all other models considering the task of language detection in Dravidian languages. The results of both the ML and DL models are analyzed empirically with performance measures like accuracy, precision, recall, and f1-score. The accuracy associated with different machine learning algorithms varies from 85% to 89%. It is evident from the experimental result that the deep learning model outperformed with an accuracy of 98%. Novelty: The proposed system emphasizes on the use of the language agnostic model to implement the process of detecting Dravidian languages associated with the given text which provides a promising result of 98% accuracy which is higher than the existing methodologies. Keywords: Language, Machine learning, Deep learning, Transformer model, Encoder, Decoder
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Azhagiri, M., S. Divya Meena, A. Rajesh, M. Mangaleeswaran, and M. Gowtham Sethupathi. "Empirical Study on Sentiment Analysis." Indian Journal of Artificial Intelligence and Neural Networking 3, no. 1 (December 30, 2023): 8–18. http://dx.doi.org/10.54105/ijainn.b1044.123122.

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Sentiment analysis (SA), generally known as Opinion Mining (OM), is really the process of gathering and evaluating people's ideas, thoughts, feelings, beliefs, including views about various subjects, goods, as well as services. Individuals produce large amounts of comments and evaluations about products, services, and day-to-day tasks as Internet-based applications such as webpages, online sites, social networking sites, and blog posts continue to evolve at a rapid pace. Firms, government institutions medical researchers and scholars may use sentiment analysis to collect and evaluate mood of the people and perspectives, obtain business information, and make smarter and more informed choices. The approaches for sentiment analysis are thoroughly examined in this work, problems, trends and features in order to provide academics with a worldwide overview of sentiment analysis and topics of interest. The paper discusses the various uses of sentiment analysis as well as the general procedure for performing this assignment. The report subsequently examines, analyses, and analyses the various techniques in order to gain a comprehensive understanding of its benefits and downsides. Furthermore, to elucidate long term prospects, the constraints of sentiment analysis have been highlighted.
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Dey, Prasanta Kumar. "Growth Analysis of Stock Market in India: An Empirical Study." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 386–92. http://dx.doi.org/10.31142/ijtsrd10895.

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Tiwari, Neha. "An Empirical Analysis of Entrepreneurial Ecosystem in Selected Asian Countries." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (February 28, 2018): 633–42. http://dx.doi.org/10.31142/ijtsrd9436.

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V.Pradeepa, V. Pradeepa. "Usage of Celebrity Endorsers in Television Advertising -An Empirical Analysis." International Journal of Scientific Research 2, no. 4 (June 1, 2012): 35–38. http://dx.doi.org/10.15373/22778179/apr2013/14.

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28

Saranya, R. Kamala, and Dr S. Duraisamy Dr. S. Duraisamy. "An Empirical Analysis on Training & Development Evaluation Across Organizations." International Journal of Scientific Research 3, no. 4 (June 1, 2012): 262–63. http://dx.doi.org/10.15373/22778179/apr2014/91.

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Ur Rahiman, Habeeb, and Rashmi Kodikal. "Understanding transactional analysis of managers: an empirical study in India." Problems and Perspectives in Management 18, no. 1 (February 24, 2020): 141–53. http://dx.doi.org/10.21511/ppm.18(1).2020.13.

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Management is the process of accomplishing the activities efficiently and effectively with the help of human capital. The manpower in any sector is made to sail through a saga of productivity and profitability under the efficient captainship of the managers. This research paper gives insight into the implications of transactional analysis and ego states of the managers rendering the services in the companies of the IT sector in the Coastal Karnataka. To accomplish the objectives of the study, Transactional Style Inventory-Manager (TSI-M) is administered to the respondents, and scoring is done considering the Operating Effectiveness Quotient (OEQ). The research paper highlights that the demographic variables have a major influence on the interpersonal skills of the managers. It is found out that various ego states are predominant among managers, and the lowest state is the creative child ego state. The research concludes that by conducting transactional analysis-based leadership training, the productivity of employees can be enhanced in the future.
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Gupta, Shailja, Manpreet Kaur, Sachin Lakra, and Yogesh Dixit. "A Comparative Theoretical and Empirical Analysis of Machine Learning Algorithms." Webology 17, no. 1 (May 29, 2020): 377–97. http://dx.doi.org/10.14704/web/v17i1/web17011.

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31

Kurekova, Lucie. "Regional migration and the dimension of distance in empirical analysis." International Journal of Economic Sciences 11, no. 2 (November 24, 2022): 80–91. http://dx.doi.org/10.52950/es.2022.11.2.006.

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The phenomenon of migration is addressed by several disciplines, such as demography, sociology, economics, political science and history. Therefore, a wide range of analytical tools can be used to analyse this phenomenon. This study focuses primarily on regional migration and capturing the dimension of distance in empirical analysis. Cartograms can be used to analyse regional migration, and Webb diagrams that capture the evolution of net international and internal migration over time. It is also appropriate to use the efficiency matrix of migration indices and nodal graphs to analyse migration flows between different regions. Spatial econometrics is then important for migration analysis to test the validity of theoretical concepts of migration. However, it is often not possible to track the exact distance of migration flows in the data. Therefore, it is necessary to resort to proxy methods to determine the distance. Tracking internal migration plays a crucial role in regional development and is vital in assessing political, economic and social change. Therefore, appropriate analytical tools must be used to analyse it at the regional level.
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32

Ziegler, Zvi. "Pandemic Spread—an Empirical Analysis." Rambam Maimonides Medical Journal 11, no. 3 (July 31, 2020): e0021. http://dx.doi.org/10.5041/rmmj.10410.

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Kumagai, Narimasa. "An Empirical Analysis on Medicaid." Iryo To Shakai 12, no. 3 (2003): 39–59. http://dx.doi.org/10.4091/iken1991.12.3_39.

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Purohit, Harsh, Vibha Dua Satija, and Sakshi Saxena. "Investors’ Psychology: An Empirical Analysis." LBS Journal of Management & Research 12, no. 1 (2014): 21. http://dx.doi.org/10.5958/0974-1852.2014.00899.2.

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Holden, Craig W. "The Empirical Analysis of Liquidity." Foundations and Trends® in Finance 8, no. 4 (2014): 263–365. http://dx.doi.org/10.1561/0500000044.

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Kyfyak, Viktoriia, Olena Vinnychuk, Liudmyla Sybyrka, and Liubov Vodianka. "Measuring entrepreneurship determinants: empirical analysis." Agricultural and Resource Economics: International Scientific E-Journal 7, no. 2 (June 20, 2021): 40–58. http://dx.doi.org/10.51599/are.2021.07.02.03.

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Purpose. The aim of this article is to assess the main determinants that affect entrepreneurial activity, and also the mechanism of its regulation in five countries (Ukraine, Romania, Lithuania, Poland, Germany) during the period from 2007 to 2018. According to the purpose of the article it was empirically tested a number of hypotheses. Methodology / approach. The canonical correlation method is considered as a basic method for maximum correlations between groups of variables. The group of performance indicators includes: GDP per capita, the volume of output at market prices, Global Competitiveness Index as indicators that most completely reflect the results and efficiency of entrepreneurial activity. The group of factor variables includes entrepreneurial activity determinants, which to some extent affect the change of these entrepreneurial efficiency indicators. The advantages of the proposed method is possibility to analyze the multiple relationships between business results and the determinants that determine it. Results. The article examines a related area of the economy, namely entrepreneurship, which is largely related to agriculture. The article gradually reveals scientific approaches to identifying the determinants of entrepreneurial activity, followed by the methodology of the conducted research, analysis of results and substantiation of hypotheses. According to the aims of the article, the authors have got the following results: 1. To analyze the entrepreneurial environment, a systematic approach must be applied whereby all the determinants of the entrepreneurial environment are interrelated and influence one another. 2. The canonical correlation method allowed to determine the system of entrepreneurial activity determinants and to confirm the statement that each country has its own system of determinants. It is justified by the heterogeneity of the studied data sample, i.e. the presence of a large difference between the numerical values of indicators for selected countries. 3. The human development determinant is the key to business development in the country. Such conclusions are made on the basis of the determinants system analysis in Germany, where indicators of business efficiency are the highest. Originality / scientific novelty. The article proposes a method of assessing the determinants of entrepreneurial activity through the use of the canonical correlation method. This method allows us to investigate the relationship between two sets of variables and is a generalized version of pairwise correlation, as opposed to factor analysis, which is used to establish relationships within one set of variables. Practical value / implications. Presented study aims to extend the empirical knowledge on the measurement of entrepreneurship at the country level and its determinants. In assessing the determinants of the entrepreneurial environment, the main causes that lead to incomplete utilization of entrepreneurial potential remain unaccounted for. Particularly practical meaning may have a thorough analysis of the determinants of entrepreneurial activity in different countries. Modern European integration aspirations of Ukraine should be provided with real socioeconomic transformations in which the development of entrepreneurial activity is key. The beginning of an effective process of forming an efficient strategic approach to creating a favourable entrepreneurial environment for every country is to study the existing experience of other countries. For Ukraine, in particular, this is the experience of the EU countries.
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Abate, Guido, Tommaso Bonafini, and Pierpaolo Ferrari. "Portfolio Constraints: An Empirical Analysis." International Journal of Financial Studies 10, no. 1 (January 20, 2022): 9. http://dx.doi.org/10.3390/ijfs10010009.

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Mean-variance optimization often leads to unreasonable asset allocations. This problem has forced scholars and practitioners alike to introduce portfolio constraints. The scope of our study is to verify which type of constraint is more suitable for achieving efficient performance. We have applied the main techniques developed by the financial community, including classical weight, flexible, norm-based, variance-based, tracking error volatility, and beta constraints. We employed panel data on the monthly returns of the sector indices forming the MSCI All Country World Index from January 1995 to December 2020. The assessment of each strategy was based on out-of-sample performance, measured using a rolling window method with annual rebalancing. We observed that the best strategies are those subject to constraints derived from the equal-weighted model. If the goal is the best compromise between absolute return, efficiency, total risk, economic sustainability, diversification, and ease of implementation, the best solution is a portfolio subject to no short selling and bound either to the equal weighting or to TEV limits. Overall, we found that constrained optimization models represent an efficient alternative to classic investment strategies that provide substantial advantages to investors.
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S., Aravind, Dereje Teklemariam Gebremeskel, and Girma Tegene Demessie. "An Empirical Analysis on Empowerment." i-manager’s Journal on Management 5, no. 4 (May 15, 2011): 40–49. http://dx.doi.org/10.26634/jmgt.5.4.1429.

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Yao, Hongxing, and Kejuan Zhou. "Empirical Analysis of AH-Shares." Journal of Systems Science and Information 4, no. 4 (August 25, 2016): 343–53. http://dx.doi.org/10.21078/jssi-2016-343-11.

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Abstract Recent studies of correlations in Chinese stock market have mainly focused on the static correlations in financial time series, and then we pay great attention to investigate their dynamic evolution of correlations. Our paper reports on topology of 41 AH-shares companies traded on Shanghai and Hong Kong Stock Exchange in Chinese stock market. We apply the concept of minimum spanning tree (MST) and hierarchical tree (HT) to analyze and reveal the dynamic evolution of correlations between different market sectors for the period 2008–2014. From these trees, we can detect that significantly industry clustering effects are in the stock network. We measure the linkage of different companies geared to different industrial sectors. We observe the evolution of AH-shares companies in the stock network based on the moving window technique and investigate the correlations by calculating the correlation coefficient distribution, mean correlation coefficient and mean distance of these companies with time. Therefore, through our analysis, we find that companies working in the same branch of production tend to make up cluster. The results present the difference and similarity between different industry sectors in different time periods.
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40

Bossler, Mario. "Recruiting abroad: an empirical analysis." International Journal of Manpower 37, no. 4 (July 4, 2016): 590–605. http://dx.doi.org/10.1108/ijm-12-2014-0233.

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Purpose – In many European countries labor markets became more and more demand oriented. However, the average use of recruiting abroad is still low. From a firm perspective, recruiting abroad comes at substantial costs and risks. The purpose of this paper is to identify mechanisms leading to the use of recruiting from abroad. Design/methodology/approach – Effects are retrieved from simple OLS regressions as well as from demand-sided instrumental variable specifications applied to a large German establishment-level dataset. Findings – The share of foreign workers in the contemporary work force enhances recruiting abroad, which is in line with theoretical considerations that foreigners indicate of successful international assignments. The results also indicate that internationally operating businesses more likely recruit from abroad. Furthermore, the author finds that market forces are relevant for the strategy to recruit abroad. Both, the regional scarcity of labor and a high demand for skilled labor affect the employer’s decision to recruit abroad. Social implications – The results indicate that internationally oriented businesses more likely recruit abroad. Furthermore, labor market mechanisms, such as scarcities, are functional and foster the use of foreign labor markets. Originality/value – This study adds to the literature by providing first empirical evidence on recruiting abroad, which is the use of foreign labor markets.
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Bojanić, Petar, Samuele Iaquinto, and Giuliano Torrengo. "Conceptual Analysis and Empirical Data." Rivista di estetica, no. 69 (December 1, 2018): 3–6. http://dx.doi.org/10.4000/estetica.3627.

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42

Lee, Changmin. "Empirical Analysis of Corporate Crime." Korean Journal of Law and Economics 16, no. 1 (April 30, 2019): 3–10. http://dx.doi.org/10.46758/kjle.2019.04.16.1.3.

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43

Blume, Grant, Tyler Scott, and Maureen Pirog. "Empirical Innovations in Policy Analysis." Policy Studies Journal 42 (April 2014): S33—S50. http://dx.doi.org/10.1111/psj.12050.

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44

Shepperd, Martin. "Design metrics: an empirical analysis." Software Engineering Journal 5, no. 1 (1990): 3. http://dx.doi.org/10.1049/sej.1990.0002.

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45

Tschuschke, Volker, and K. Roy MacKenzie. "Empirical Analysis of Group Development." Small Group Behavior 20, no. 4 (November 1989): 419–27. http://dx.doi.org/10.1177/104649648902000403.

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Sanders, Ian. "Teaching empirical analysis of algorithms." ACM SIGCSE Bulletin 34, no. 1 (March 2002): 321–25. http://dx.doi.org/10.1145/563517.563468.

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Colacelli, Mariana, and David J. H. Blackburn. "Secondary currency: An empirical analysis." Journal of Monetary Economics 56, no. 3 (April 2009): 295–308. http://dx.doi.org/10.1016/j.jmoneco.2009.02.002.

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Kaur, Daljit, and Parminder Kaur. "Empirical Analysis of Web Attacks." Procedia Computer Science 78 (2016): 298–306. http://dx.doi.org/10.1016/j.procs.2016.02.057.

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Bolotova, Yuliya V. "Cartel overcharges: An empirical analysis." Journal of Economic Behavior & Organization 70, no. 1-2 (May 2009): 321–41. http://dx.doi.org/10.1016/j.jebo.2009.02.002.

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Søndergaard, Dorte Marie. "Poststructuralist approaches to empirical analysis." International Journal of Qualitative Studies in Education 15, no. 2 (March 2002): 187–204. http://dx.doi.org/10.1080/09518390110111910.

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