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Journal articles on the topic 'Econometric research'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Baltagi, Badi H. "WORLDWIDE INSTITUTIONAL RANKINGS IN ECONOMETRICS: 1989–1995." Econometric Theory 14, no. 1 (1998): 1–43. http://dx.doi.org/10.1017/s0266466698141014.

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This paper updates Hall's (1987, Econometric Theory 3, 171–194; 1990, Econometric Theory 6, 1–16) rankings of academic institutions by publication activity in econometrics over the period 1989–1995. Fifteen leading international journals that publish econometrics articles are used to provide the database. The rankings are based on standardized page counts of articles published in these journals over the stated period. Separate rankings are provided for theoretical contributions in econometrics and for all contributions in econometrics. An “Econometricians' Hall of Fame” is developed listing th

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2

Gruszczyński, Marek. "Accounting and Econometrics: From Paweł Ciompa to Contemporary Research." Journal of Risk and Financial Management 15, no. 11 (2022): 510. http://dx.doi.org/10.3390/jrfm15110510.

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This paper examines the little-known connection between econometrics and accounting invoked by Paweł Ciompa, who first introduced the term econometrics in 1910. Since then, research in accounting and in statistical (econometric) analysis has developed in parallel. It is argued that contemporary accounting research is methodologically closer to econometrics than ever before. This paper concentrates on the accounting origins of econometrics and on the econometric methodologies currently in use in accounting research, beginning with Paweł Ciompa’s introduction of the term econometrics in accounti

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3

Cribari-Neto, Francisco, Mark J. Jensen, and Álvaro A. Novo. "RESEARCH IN ECONOMETRIC THEORY: QUANTITATIVE AND QUALITATIVE PRODUCTIVITY RANKINGS." Econometric Theory 15, no. 5 (1999): 719–52. http://dx.doi.org/10.1017/s0266466699155051.

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We rank institutions and researchers based on a standardized page count of their econometric theory publications over the last 11 years (1986–1996) in 11 economics and statistics journals. Our ranking criteria differ from those employed by Hall (1987, Econometric Theory 3, 171–194; 1990, Econometric Theory 6, 1–16) and Baltagi (1998, Econometric Theory 14, 1–43). We weight the standardized page count of a publication by the publishing journal's “impact factor,” which measures a journal's impact on the profession. We also depart from the previous rankings by focusing only on publications in the

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4

Sun, Xiaolin, and Menghe Zhao. "Analysis of econometric research hotspots and application prospects —— visualization research based on citespace." E3S Web of Conferences 292 (2021): 03027. http://dx.doi.org/10.1051/e3sconf/202129203027.

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By analyzing scholars’ research on econometrics, we can understand the hot topics of related research and, based on the changes of research hotspots in different years, we can derive the future application prospects. In this paper, the literature related to econometrics in cnki and web of science is selected as the sample source, and the literature between 2010 and 2020 is analyzed by the visualization software citespace for authors, keywords, etc. Through the study, it is found that the application of spatial econometrics and the solution to practical problems are the focus of current scholar

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Rancan, Antonella. "Econometric modelling in Italy: From economic planning to academic research." HISTORY OF ECONOMIC THOUGHT AND POLICY, no. 1 (November 2021): 63–82. http://dx.doi.org/10.3280/spe2021-001003.

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The paper deals with the introduction and acceptance of econometric model-ling as a tool to conduct economic policy analysis in Italy in the Post War. A re-search practice first applied in public and private institutions other than universi-ties. It is argued that economic planning and policymakers' needs of empirical es-timations, simulations and forecasts played an important role in supporting quan-titative research, at the time when economics was still conceived as a theoretical discipline. Sylos Labini's (1967) econometric model, the Modellaccio (1970-75), the University of Bologna model (

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Gruszczyński, Marek. "Accounting Research and the Role of Microeconometrics." Metody Ilościowe w Badaniach Ekonomicznych 25, no. 4 (2024): 145–56. https://doi.org/10.22630/mibe.2024.25.4.13.

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The paper discusses and examines the presence of microeconometrics in contemporary accounting research. Quantitative methodology in accounting utilizes econometrics, particularly microeconometrics. Our analysis shows that approximately two-thirds of publications in leading journals, as well as submissions to the SSRN Accounting Research Network employ econometric methods, specifically within the field of financial microeconometrics. The papers reviewed in the author’s two surveys typically use panel econometrics methods, methods of causal microeconometrics and qualitative variables modelling.

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Silahtaroğlu, Yenilmez Oğuz. "Machine Learning Integration in Econometric Models." Next Generation Journal for The Young Researchers 8, no. 1 (2024): 77. http://dx.doi.org/10.62802/8c33p210.

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The integration of machine learning (ML) into econometric models represents a transformative advancement in the field of econometrics, enabling researchers to tackle complex, high-dimensional datasets while maintaining the interpretability and rigor of traditional econometric approaches. This research investigates the synergies between machine learning and econometrics, focusing on how ML techniques can enhance model flexibility, predictive accuracy, and causal inference in economic analysis. By leveraging methods such as regularization, ensemble learning, and deep learning, the study explores

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8

Koenker, Roger, and Achim Zeileis. "On reproducible econometric research." Journal of Applied Econometrics 24, no. 5 (2009): 833–47. http://dx.doi.org/10.1002/jae.1083.

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9

MİXON, Franklin, and Kamal UPADHYAYA. "Scholarly Impact of Core Econometrics Journals: A Catalog and Citations-Based Ranking." International Econometric Review 13, no. 4 (2022): 118–31. http://dx.doi.org/10.33818/ier.984141.

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With 23 core econometrics journals now in operation, this study fills a gap in the literature by cataloguing the editorial specifications of each journal, and, more importantly, assessing their impact based on citations to research published in each over the 15-year period beginning in 2001 and ending in 2015. Our investigation reveals that about one-half of all core econometrics journals publish in an online format only, while the others publish both online and in-print. About one-fourth of all core econometrics journals are affiliated with an academic organization or society, while the same

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10

QIN, Duo. "BAYESIAN ECONOMETRICS: The First Twenty Years." Econometric Theory 12, no. 3 (1996): 500–516. http://dx.doi.org/10.1017/s0266466600006836.

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This paper sketches the history of how Bayesian inference was adopted and utilized in econometrics during its first 20 years. It focuses on the causes of the Bayesian movement, the ways in which Bayesian inference was applied, the problems that the application was intended to solve, and the results achieved. It shows that Bayesian research has largely followed mainstream econometric development as far as the major econometric ideas and methods are concerned and that Bayesian reformulation of mainstream econometrics has nevertheless helped in deepening econometricians' understanding of many mod

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11

Sun, Yike. "Research on Application of artificial Neural Network in econometrics." Advances in Engineering Technology Research 3, no. 1 (2022): 309. http://dx.doi.org/10.56028/aetr.3.1.309.

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As a fringe subject of artificial intelligence and systems engineering, artificial neuron network can not only discover more valuable data information, but also accelerate the calculation speed of data information in econometrics. With the rapid development of econometrics, the artificial neural network method has received wide attention of scholars research at home and abroad, compared with the traditional econometric method, artificial neural network algorithm with adjustable parameters and highly nonlinear simulation operation ability, self-learning and self-organization can function in dea

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12

Skoruks, Dmitrijs, and Maija Šenfelde. "ECONOMETRIC METHODOLOGY OF MONOPOLIZATION PROCESS EVALUATION." Business, Management and Education 12, no. 1 (2014): 47–59. http://dx.doi.org/10.3846/bme.2014.04.

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The research “Econometric Methodology of Monopolization Process Evaluation” gives a perspective description of monopolization process’ nature, occurrence source, development procedure and internal conjuncture specifics, as well as providing an example of modern econometrical method application within a unified framework of market competition analysis for the purpose of conducting a quantitative competition evaluation on an industry level for practical use in both private and public sectors. The main question of the aforementioned research is the definition and quantitative analysis of monopoli

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13

Chen, Wenhui. "Discussion on Collaborative Teaching of Econometrics in the Field of Environmental Economics." Journal of Contemporary Educational Research 7, no. 11 (2023): 154–59. http://dx.doi.org/10.26689/jcer.v7i11.5590.

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To capitalize on the synergies between the Econometrics course and the Environmental Economics major, this paper aims to enhance students’ability to conduct empirical analysis and practical application using econometric models. It also seeks to promote collaborative teaching through case studies and model research. The primary focus is on the hot research issues within the field of environmental economics, utilizing the econometric model as a vehicle for instruction. To achieve this, the paper proposes the development of a comprehensive case library specific to environmental economics. This re

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14

Orlova, I. V. "EXPERIENCE OF USING MODERN TOOLS IN TEACHING THE DISCIPLINES ECONOMETRICS AND ECONOMETRIC RESEARCH." Фундаментальные исследования (Fundamental research), no. 1 2022 (2022): 40–45. http://dx.doi.org/10.17513/fr.43190.

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15

Qin, Duo. "CONSOLIDATION OF THE HAAVELMO-COWLES COMMISSION RESEARCH PROGRAM." Econometric Theory 31, no. 2 (2014): 275–93. http://dx.doi.org/10.1017/s0266466614000309.

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Much of modern econometrics stems directly from the post-1940 works of Haavelmo and the Cowles Commission (CC) Monograph 10. This paper examines the consolidation process of the Haavelmo-CC research program mainly during the 1950–70 period from three aspects: (i) developments of econometrics textbooks, (ii) emerging themes and trends in econometric research, and (iii) the contribution of the program to empirical modeling of real-world issues. The examination reveals that the program has gained dominance primarily through its adherence to the scientific banner and style rather than its empirica

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16

Watts, Michael, William E. Becker, and William B. Walstad. "Econometric Modeling in Economic Education Research." Journal of Economic Education 20, no. 2 (1989): 223. http://dx.doi.org/10.2307/1182736.

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17

Xu, Xingbai, and Lung-fei Lee. "Theoretical foundations for spatial econometric research." Regional Science and Urban Economics 76 (May 2019): 2–12. http://dx.doi.org/10.1016/j.regsciurbeco.2018.04.002.

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18

Mittelhammer, Ron C., and Roger K. Conway. "Applying Mixed Estimation in Econometric Research." American Journal of Agricultural Economics 70, no. 4 (1988): 859–66. http://dx.doi.org/10.2307/1241927.

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19

SENGUPTA, JATI K. "Maximum entropy in applied econometric research." International Journal of Systems Science 22, no. 10 (1991): 1941–51. http://dx.doi.org/10.1080/00207729108910760.

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20

Басовский, Leonid Basovskiy, Басовская, and Elena Basovskaya. "Russian Regions’ Economy Research: Econometric Approach." Economics 2, no. 2 (2014): 13–17. http://dx.doi.org/10.12737/3648.

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It is proposed a research program related to studying of economic development of regions and country as a whole. It is suggested to build econometric models of influence of factors which are able to affect indicators characterizing the economic development. For this purpose it is proposed to use cross-sectional data of the Federal State Statistics Service of Russia by region .On the basis of obtained models it is possible to get partial regression equations. From these equations it has been obtained equations for partial coefficients of influence of st

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21

Sabirov, Khasan Nusratovich, and Xusan Shermatov. "THE ROLE OF ECONOMIC ANALYSIS IN ECONOMIC DEVELOPMENT." Eurasian Journal of Academic Research 2, no. 2 (2022): 736–39. https://doi.org/10.5281/zenodo.6346818.

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Econometric knowledge is distinguished and formed as a result of the interdependence and development of disciplines such as economic theory, economic mathematics, economic statistics, probability theory, and mathematical statistics. Econometrics shapes its subject, purpose, and research. At the same time, the content of econometrics, its composition and scope are in constant contact with the above disciplines.

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22

Morgan, Mary S. "Perspectives in the History of Econometrics: A Review Essay of R. J. Epstein: A History of Econometrics." Econometric Theory 6, no. 2 (1990): 151–64. http://dx.doi.org/10.1017/s0266466600005090.

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Only in the last few years has the history of econometrics become established as an accepted field of research, with its own doctoral students and sessions at professional meetings. Yet, the first written histories of econometrics appeared as far back as the 1950s, when Carl Christ [4] reviewed the first 20 years' econometric work of the Cowles Commission and George Stigler [37] surveyed the early econometric analyses of consumer demand. Contributions in the intervening years have been sparse, with historical accounts such as Stigler [38], Humphrey [23], and Cargill [3] providing helpful landm

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23

Martins, Luís Oscar Silva, Roberto Antônio Fortuna Carneiro, Fábio Matos Fernandes, Marcelo Santana Silva, Francisco Gaudêncio Mendonça Freires, and Ednildo Andrade Torres. "use of econometric models in studies of Eletricity Generation from biomass." Brazilian Journal of Information Science 14, no. 1 Jan.-Mar (2020): 130–72. http://dx.doi.org/10.36311/1981-1640.2020.v14n1.07.p130.

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The present research investigated the utilization of econometric models in studies related to the generation of electricity from biomass, through a bibliometric analysis. The general objective of the study was to analyze the publications, from 1987 to 2018, that explored the potential of econometric models involving biomass for electricity generation. Additionally, it was intended to investigate the most cited articles and authors, seeking to verify the most relevant themes and the main econometric techniques used in the analyses; verify the countries most engaged in these researches, drawing

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24

Conrad, Christian A. "Speculation in Food and Commodities - A Research Report: A Critical Discussion of the Econometric Research Method and an Alternative Analysis." International Journal of Economics and Finance 15, no. 6 (2023): 14. http://dx.doi.org/10.5539/ijef.v15n6p14.

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This paper is a report of the research on the effect of speculation on commodities and food since deregulation. Econometrics can be applied to show how speculation influences price and vice versa. However, there is no clear empirical picture. In this paper, we examine the reasons for the lack of empirical clarity and arrive at a critical discussion of the econometric research approach. As an alternative approach, we use scientific logic on the basis of statistical data and other verifiable facts as method of investigation. This method allows us to derive the influence of speculation on spot pr

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25

Dokumacı, Melis. "AI-Driven Econometric Models for Legal Issues." Human Computer Interaction 8, no. 1 (2024): 137. https://doi.org/10.62802/btfvze98.

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Artificial intelligence (AI) is reshaping the landscape of econometric modeling, offering innovative tools to address complex legal issues involving predictive analysis, resource allocation, and policy evaluation. This research explores the application of AI-driven econometric models to legal challenges, focusing on areas such as contract enforcement, intellectual property disputes, and regulatory compliance. By integrating machine learning with traditional econometric techniques, these models enhance the precision and adaptability of legal forecasts and decision-making processes. Key methodol

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26

Moscardini, A. O., K. Lawler, and T. Vlasova. "THE IMPACT OF THE LUCAS CRITIQUE ON MACROECONOMICS: A BRAIDING OF ECONOMIC AND CYBERNETIC INSIGHTS." Bulletin of Taras Shevchenko National University of Kyiv. Economics, no. 216 (2021): 34–43. http://dx.doi.org/10.17721/1728-2667.2021/216-3/4.

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The Lucas Critique has attracted discussion since it was published in 1976. This article evaluates its impact on the epistemology of Macroeconomics. It probes deeper than an analysis on Rational Expectations into a debate on theory and practice in macroeconomics. The originality of the research concerns the convergence/divergence between the Keynes and Lucas critiques of econometrics/econometric policy. The paper updates and refines Lucas’s contribution to econometric policy evaluation framed by the Keynes – Tinbergen – Friedman – Lucas literature. The exegesis uses the expertise of the author

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27

Angrist, Joshua D., and Jörn-Steffen Pischke. "Undergraduate Econometrics Instruction: Through Our Classes, Darkly." Journal of Economic Perspectives 31, no. 2 (2017): 125–44. http://dx.doi.org/10.1257/jep.31.2.125.

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The past half-century has seen economic research become increasingly empirical, while the nature of empirical economic research has also changed. In the 1960s and 1970s, an empirical economist's typical mission was to “explain” economic variables like wages or GDP growth. Applied econometrics has since evolved to prioritize the estimation of specific causal effects and empirical policy analysis over general models of outcome determination. Yet econometric instruction remains mostly abstract, focusing on the search for “true models” and technical concerns associated with classical regression as

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28

Stock, James H., and Mark W. Watson. "Twenty Years of Time Series Econometrics in Ten Pictures." Journal of Economic Perspectives 31, no. 2 (2017): 59–86. http://dx.doi.org/10.1257/jep.31.2.59.

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This review tells the story of the past 20 years of time series econometrics through ten pictures. These pictures illustrate six broad areas of progress in time series econometrics: estimation of dynamic causal effects; estimation of dynamic structural models with optimizing agents (specifically, dynamic stochastic equilibrium models); methods for exploiting information in “big data” that are specialized to economic time series; improved methods for forecasting and for monitoring the economy; tools for modeling time variation in economic relationships; and improved methods for statistical infe

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29

Zakharova, E. A., D. V. Davydov, and E. M. Zemtsova. "SPATIAL ECONOMETRICS METHODS IN RUSSIAN ECONOMIC RESEARCH." Челябинский физико-математический журнал 10, no. 1 (2025): 182–98. https://doi.org/10.47475/2500-0101-2025-10-1-182-198.

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The paper presents an overview of key econometric models adapted for analysing processes in countries with the heterogeneous territorial development and differences in socio-economic and institutional structures. The discussion includes models and their modifications that take into account the spatial heterogeneity. The methodology and the results of studies employing spatial econometric approaches to the analysis of Russian data are provided.

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30

Tinbergen, J. "On a Method of Statistical Business-Cycle Research. A Reply (With comment by J. M. Keynes)." Voprosy Ekonomiki, no. 4 (April 20, 2007): 46–59. http://dx.doi.org/10.32609/0042-8736-2007-4-46-59.

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In his polemic reply Tinbergen defends the econometric method he applied. He reproaches Keynes for the inaccuracy of his argument and justifies the applicability of linear relationships in economic analysis and their existence in economic interactions. Tinbergen also provides a detailed account of some methodological (primarily addressing the problem of causality) and economic issues of his analysis. In a comment to the Tinbergen’s paper Keynes clarifies his point of view on some particular points as well as on econometrics as a whole.

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31

Stokes, Houston H. "Econometric software as a theoretical research tool." Journal of Economic and Social Measurement 29, no. 1-3 (2004): 183–87. http://dx.doi.org/10.3233/jem-2004-0212.

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32

ЮРЧЕНКО, А. А. "ECONOMETRIC METHODS OF RESEARCH OF ECONOMIC PROCESSES." Экономика и предпринимательство, no. 4(153) (June 15, 2023): 77–82. http://dx.doi.org/10.34925/eip.2023.153.4.012.

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В статье автор дает основные характеристики временных рядов. Рассмотрены особенности эконометрического анализа одномерных временных рядов на примере некоторых макроэкономических показателей Российской Федерации. Описаны модели периодических колебаний и связных временных рядов, а также регрессионные модели с лаговыми переменными. In the article, the author gives the main characteristics of the time series. The features of econometric analysis of one-dimensional time series on the example of some macroeconomic indicators of the Russian Federation are considered. The author described are models o

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33

McAllister, P. R., and T. Condon. "Econometric analysis of biomedical research publishing patterns." Scientometrics 7, no. 1-2 (1985): 55–75. http://dx.doi.org/10.1007/bf02020141.

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34

Meredith, Evan, and Jeffrey S. Racine. "Towards reproducible econometric research: the Sweave framework." Journal of Applied Econometrics 24, no. 2 (2008): 366–74. http://dx.doi.org/10.1002/jae.1030.

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35

Pagan, Adrian. "Introduction calibration and econometric research: An overview." Journal of Applied Econometrics 9, S1 (1994): S1—S10. http://dx.doi.org/10.1002/jae.3950090502.

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36

Mosconi, Rocco, and Paolo Paruolo. "A Conversation with Søren Johansen." Econometrics 10, no. 2 (2022): 21. http://dx.doi.org/10.3390/econometrics10020021.

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This article was prepared for the Special Issue “Celebrated Econometricians: Katarina Juselius and Søren Johansen” of Econometrics. It is based on material recorded on 30 October 2018 in Copenhagen. It explores Søren Johansen’s research, and discusses inter alia the following issues: estimation and inference for nonstationary time series of the I(1), I(2) and fractional cointegration types; survival analysis; statistical modelling; likelihood; econometric methodology; the teaching and practice of Statistics and Econometrics.

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37

Zelepukhin, Yuri Valentinovich, and Olga Yurievna Tsybina. "Improvements in the formation of econometric knowledge at training of bachelors - teachers of economic profile." Samara Journal of Science 5, no. 1 (2016): 152–56. http://dx.doi.org/10.17816/snv20161305.

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The concept of modernization of Russian education raises the question about necessity of introduction of profile training to improve and develop the school system of education. It is important that the implementation of ideas to improve education a priority is the presence of expert teachers to work in specialized classes. One of the most difficult is to educate students to work in classrooms socio-economic profile. Future teachers enrolled in the profile "Economics", must use economic, mathematical and econometric methods in solving socio-economic issues, to know the achievements of world eco

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38

Lahiri, Kajal. "ET INTERVIEW: PROFESSOR G.S. MADDALA." Econometric Theory 15, no. 5 (1999): 753–76. http://dx.doi.org/10.1017/s0266466699155063.

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Over the last three decades, G.S. Maddala (universally known as “G.S.”) has been a familiar name to all doing econometric work. His substantial contributions to the discipline through numerous books and articles single him out as one of the most distinguished econometricians of our time. Because of his extraordinary ability to synthesize and exposit complex methodological results in simple intuitive terms, he has influenced econometric research in other areas of social science also. According to the Social Science Citation Index, G.S. has been one of the top five most cited econometricians dur

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39

Silahtaroğlu, Yenilmez Oğuz. "Econometrics of Climate Change Research." Next Generation Journal for The Young Researchers 8, no. 1 (2024): 73. http://dx.doi.org/10.62802/9gqdge41.

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The econometrics of climate change explores the intricate interplay between economic activity and climate dynamics, offering empirical insights into the causes, impacts, and mitigation of global climate change. This research applies advanced econometric techniques to quantify the economic consequences of environmental changes and evaluate the effectiveness of climate policies. By leveraging panel data models, time-series analysis, and causal inference methods, this study investigates critical topics such as the economic costs of extreme weather events, the efficacy of carbon pricing mechanisms

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40

Azhari, Azhari, M. Yusuf, Jamaluddin Jamaluddin, Afriana Afriana, and Sri Yanna. "Pelatihan Pengolahan Data Time Series dan Panel untuk Analisis Regresi dengan Menggunakan EViews-10." Aceh Journal of Community Engagement (AJCE) 2, no. 2 (2023): 17–23. https://doi.org/10.51179/ajce.v2i2.2251.

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Community service activities are one of the lecturers' tri dharma. Service activities were carried out by 5 (five) service members in the form of training in econometric research data processing using time series data and panel data. The software used is EViews version 10. EViews is a Windows-based computer program that is widely used for statistical analysis and is a computational tool for time series econometrics. The training, which was attended by 15 young lecturers, supervisors and final year students, was held in the Aceh Care Cooperative community for 2 days, namely 12-13 August 2023 wi

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41

Teodorovicz, Thomaz, Sandro Cabral, and Sergio Lazzarini. "Insider econometrics: a guide to management scholars." RAUSP Management Journal 54, no. 4 (2019): 446–58. http://dx.doi.org/10.1108/rausp-05-2019-0116.

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Purpose This paper aims to present a new trend in management research: the Insider Econometrics approach. Design/methodology/approach The authors argue that the use of internal organizational data not available in public sources can benefit both researchers interested in advancing theories and practitioners interested to improve the decision-making toward more solid and evidence-based grounds. Findings The authors demonstrate the subjects involved in Insider Econometrics realm and provide a framework to guide management scholars to successfully engage in research involving strong partnerships

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42

Jaunzems, Andrejs, and Ilze Balode. "The Correctness Problems in Applying Inductive Statistics in Economics and Agriculture." Rural Sustainability Research 37, no. 332 (2017): 20–28. http://dx.doi.org/10.1515/plua-2017-0003.

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Abstract In the article “Professor Tinbergen’s Method” (Keynes J. M. Professor Tinbergen’s Method. − The Economic Journal. 1939. Vol. 49. No. 195) John Maynard Keynes expressed critical notes concerning insufficient scientific level of the Jan Tinbergen’s results obtained with the help of econometric methods. The conclusion of present research is that the critical appraisal of econometric applying given by John Maynard Keynes in 1939 can be completely assigned to many published in Latvia research in economics and business done by inductive statistics because scientists carelessly apply the lin

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43

Haghani, Milad, Michiel C. J. Bliemer, and David A. Hensher. "The landscape of econometric discrete choice modelling research." Journal of Choice Modelling 40 (September 2021): 100303. http://dx.doi.org/10.1016/j.jocm.2021.100303.

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44

Van Nes, Floor, and Arie Ten Cate. "Software for econometric research with a personal computer." International Journal of Forecasting 5, no. 2 (1989): 263–78. http://dx.doi.org/10.1016/0169-2070(89)90094-0.

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Gupta, Bhaswar. "Current Research in Alternative Investments and Econometric Methods." Journal of Alternative Investments 5, no. 4 (2003): 98–101. http://dx.doi.org/10.3905/jai.2003.319077.

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Gupta, Bhaswar. "Current Research in Alternative Investments and Econometric Methods." Journal of Alternative Investments 6, no. 3 (2003): 93–94. http://dx.doi.org/10.3905/jai.2003.319103.

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Mukherjee, Barsendu. "Current Research in Alternative Investments and Econometric Methods." Journal of Alternative Investments 6, no. 4 (2004): 95–97. http://dx.doi.org/10.3905/jai.2004.391068.

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Bjerkholt, Olav. "TRYGVE HAAVELMO AT THE COWLES COMMISSION." Econometric Theory 31, no. 1 (2014): 1–84. http://dx.doi.org/10.1017/s026646661400019x.

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The article reviews the early history of the Cowles Commission (CC), its close and intertwined relations with the Econometric Society (ES), and the influence and guidance of Ragnar Frisch. It provides detail on three rounds of choosing a research director for CC in 1937–38, in 1939 and, particularly, at the end of 1942. Haavelmo’s work in the early 1940s came to play a major role for the econometric research at the Cowles Commission under Jacob Marschak as research director 1943–48. The article points to the importance of Abraham Wald and Jacob Marschak for the success of Haavelmo’s venture an

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Yang, Yi, and Songmei Huang. "Research on Real Estate Batch Evaluation Based on Spatial Econometric Model." Frontiers in Business, Economics and Management 14, no. 1 (2024): 145–50. http://dx.doi.org/10.54097/s6kezg45.

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This article studies the real estate batch evaluation model in Yuzhong District, Chongqing City. By analyzing 350 real second-hand housing listing data in October 2023 as sample data, a feature price model is established and a spatial econometric model is constructed based on the regression results to seek the most suitable model for batch evaluation of second-hand housing in Yuzhong District, Chongqing City. The results show that there is a significant spatial correlation between sample data, and both the spatial error model and spatial lag model in the spatial econometric model have improved

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Ramadhani M, Az-zhahra, Yuniar Tri Hidayah, and Fatma Nur A. "PERBANDINGAN METODE DETEKSI PELANGGARAN ASUMSI KLASIK DALAM EKONOMETRIKA MODERN." National Conference on Applied Business, Education, & Technology (NCABET) 3, no. 1 (2024): 101–12. http://dx.doi.org/10.46306/ncabet.v3i1.109.

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This research discusses a comparison of classical assumption violation detection methods in the context of modern econometrics. In econometrics, classic assumptions, such as homoscedasticity, normality, and the absence of multicollinearity, are often the basis of regression analysis. However, with advances in technology and more complex data, concerns about the validity of these assumptions have increased. This literature study involves an in-depth review of the literature related to detecting violations of classical assumptions in modern econometric regression. Current methods, such as the us

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