Academic literature on the topic 'Economics and econometrics'

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Journal articles on the topic "Economics and econometrics"

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Thomas, By Jim. "Victor Edelberg: LSE’s forgotten econometrician." Oxford Economic Papers 72, no. 4 (2020): 1006–31. http://dx.doi.org/10.1093/oep/gpaa030.

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Abstract Given Lionel Robbins’s strong scepticism about the value of statistical analysis in economics, it is not surprising that early developments in Econometrics at LSE came from members of the Statistics Department at the School. However, Victor Edelberg, a graduate student in the Economics Department at LSE in the 1930s, published the second article in Econometrica with ‘Econometrics’ in the title and further econometric articles in the Review of Economic Studies. Despite these publications, his work has been forgotten and is not included in the history of econometrics at LSE, nor in the
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Güriş, Selahattin. "Applied Microeconometrics with Health Data." JOURNAL OF APPLIED MICROECONOMETRICS 3, no. 2 (2023): 37–39. http://dx.doi.org/10.53753/jame.2267.

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In this book review, I would like to introduce the book titled “Applied Microeconometrics with Health Data”. Since the book is an econometrics book, we might talk about econometrics first. Econometrics is one of the branches of economics, therefore it covers the methods used especially in the analysis of any topics concerning economics. However, econometric methods can be used in many branches of science such as Health Sciences. First of all, we could assert that econometrics could be used in the economic analysis of events encountered in different branches of science. In addition, econometric
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Hillier, Grant, Raymond Kan, and Xiaolu Wang. "COMPUTATIONALLY EFFICIENT RECURSIONS FOR TOP-ORDER INVARIANT POLYNOMIALS WITH APPLICATIONS." Econometric Theory 25, no. 1 (2009): 211–42. http://dx.doi.org/10.1017/s0266466608090075.

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The top-order zonal polynomials Ck(A), and top-order invariant polynomials Ck1,…,kr (A1, …, Ar) in which each of the partitions of ki, i = 1, …, r, has only one part, occur frequently in multivariate distribution theory, and econometrics — see, for example, Phillips (1980, Econometrica 48, 861–878; 1984, Journal of Econometrics 26, 387–398; 1985, International Economic Review 26, 21–36; 1986, Econometrica 54, 881–896), Hillier (1985, Econometric Theory 1, 53–72; 2001, Econometric Theory 17, 1–28), Hillier and Satchell (1986, Econometric Theory 2, 66–74), and Smith (1989, Journal of Multivariat
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Athey, Susan, and Guido W. Imbens. "Machine Learning Methods That Economists Should Know About." Annual Review of Economics 11, no. 1 (2019): 685–725. http://dx.doi.org/10.1146/annurev-economics-080217-053433.

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We discuss the relevance of the recent machine learning (ML) literature for economics and econometrics. First we discuss the differences in goals, methods, and settings between the ML literature and the traditional econometrics and statistics literatures. Then we discuss some specific methods from the ML literature that we view as important for empirical researchers in economics. These include supervised learning methods for regression and classification, unsupervised learning methods, and matrix completion methods. Finally, we highlight newly developed methods at the intersection of ML and ec
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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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Ditzen, Jan, and Simon Reese. "xtnumfac: A battery of estimators for the number of common factors in time series and panel-data models." Stata Journal: Promoting communications on statistics and Stata 23, no. 2 (2023): 438–54. http://dx.doi.org/10.1177/1536867x231175305.

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In this article, we introduce a new community-contributed command, xtnumfac, for estimating the number of common factors in time-series and panel datasets using the methods of Bai and Ng (2002, Econometrica 70: 191–221), Ahn and Horenstein (2013, Econometrica 81: 1203–1227), Onatski (2010, Review of Economics and Statistics 92: 1004–1016), and Gagliardini, Ossola, and Scaillet (2019, Journal of Econometrics 212: 503–521). Common factors are usually unobserved or unobservable. In time series, they influence all predictors, while in paneldata models, they influence all cross-sectional units at d
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Aradillas-López, Andrés. "The Econometrics of Static Games." Annual Review of Economics 12, no. 1 (2020): 135–65. http://dx.doi.org/10.1146/annurev-economics-081919-113720.

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This article reviews the econometrics of static games, with a focus on discrete-choice cases. These models have been used to study a rich variety of empirical problems, ranging from labor force participation to entry decisions. We outline the components of a general game and describe the problem of doing robust inference in the presence of multiple solutions, as well as the different econometric approaches that have been applied to tackle this problem. We then describe the specific challenges that arise in different variations of these models depending on whether players are assumed to have co
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Hozer, Józef, and Mariusz Doszyń. "Econometric Models of Propensities." Folia Oeconomica Stetinensia 6, no. 1 (2007): 15–25. http://dx.doi.org/10.2478/v10031-007-0008-1.

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Econometric Models of Propensities Human being is one of the most important sources of causative forces of events that assemble economical processes. Working out the effective tools that enable measurement of the impact of people on socio-economic processes is necessary in analyzing, troubleshooting and forecasting. In the article the issues of calculating propensities by means of properly specified econometrics models were presented. The definition of propensity was introduced. Questions connected with topic of propensities were presented in context of concepts promoted by Szczecin school of
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Haug, Alfred A. "TESTING LINEAR RESTRICTIONS ON COINTEGRATING VECTORS: SIZES AND POWERS OF WALD AND LIKELIHOOD RATIO TESTS IN FINITE SAMPLES." Econometric Theory 18, no. 2 (2002): 505–24. http://dx.doi.org/10.1017/s0266466602182119.

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The Wald test for linear restrictions on cointegrating vectors is compared in finite samples using the Monte Carlo method. The Wald test is calculated within the vector error-correction based estimation methods of Bewley, Orden, Yang, and Fisher (1994, Journal of Econometrics 64, 3–27) and of Johansen (1991, Econometrica 59, 1551–1580), the canonical cointegration method of Park (1992, Econometrica 60, 119–143), the dynamic ordinary least squares method of Phillips and Loretan (1991, Review of Economic Studies 58, 407–436), Saikkonen (1991, Econometric Theory 7, 1–21), and Stock and Watson (19
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Jakimowicz, Aleksander. "The Role of Entropy in the Development of Economics." Entropy 22, no. 4 (2020): 452. http://dx.doi.org/10.3390/e22040452.

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The aim of this paper is to examine the role of thermodynamics, and in particular, entropy, for the development of economics within the last 150 years. The use of entropy has not only led to a significant increase in economic knowledge, but also to the emergence of such scientific disciplines as econophysics, complexity economics and quantum economics. Nowadays, an interesting phenomenon can be observed; namely, that rapid progress in economics is being made outside the mainstream. The first significant achievement was the emergence of entropy economics in the early 1970s, which introduced the
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Dissertations / Theses on the topic "Economics and econometrics"

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Qin, Duo. "History of econometric thought (1930-1960) : the formation of econometrics." Thesis, University of Oxford, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314446.

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Kaddour, Hadri. "Disequilibrium econometrics." Thesis, University of Exeter, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.359795.

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Chen, Zhihong. "Three essays in applied econometrics." Thesis, Boston College, 2005. http://hdl.handle.net/2345/0.

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Thesis advisor: Arthur Lewbel<br>This dissertation consists of three self-contained papers in applied econometrics. The frrst chapter, Testing Multivariate Distributions (joint with Jushan Bai), proposes a new method to test multivariate distributions with a focus on multivariate normality and multivariate t distribution, motivated in part by examination of financial market data. Using Khmaladze's martingale transformation to purge the effect of parameter estimation, our test generates a distribution-free statistic and can be easily applied to cases with complicated parameters. Simulation show
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Ip, Wai Cheung. "Bootstrap methods in econometrics." Thesis, University of Leeds, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292325.

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Vougas, Dimitrios V. "Aspects of integration in econometrics." Thesis, University of Bristol, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243693.

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Porter, Jack Ray. "Essay in econometrics." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/10677.

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Atak, Alev. "Essays in econometrics." Thesis, Queen Mary, University of London, 2011. http://qmro.qmul.ac.uk/xmlui/handle/123456789/2408.

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This thesis consists of two main parts. The rst part deals with an analysis of realized volatility and its relationship with market mi- crostructure problem. The second part of the thesis presents a time trend analysis in a panel data framework, with a semiparametric ap- proach. Chapter 1 introduces the topics that I embark upon the thesis. In particular, I motivate the interest in realized volatility and market mi- crostructure problem in the rst part of the thesis, with a factor model approach. Then, in the second part, the motivation is on the estimation of time varying coe¢ cient trend fun
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Andrade, Isabel C. "Three essays in applied multivariate econometrics." Thesis, University of Southampton, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241034.

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Kocatulum, Emre. "Essays in financial econometrics." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45905.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Economics, 2008.<br>Includes bibliographical references.<br>Chapter 1 is the product of joint work with Ferhat Akbas and it provides a behavioral explanation for monthly negative serial correlation in stock returns. For the first time in the literature, this work reports that only low momentum stocks experience monthly negative serial correlation. Using a recently collected dataset, this finding provides the basis for a behavioral explanation for monthly negative serial correlation. Chapter 2 uses mean squared error (MSE) criteri
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Hou, J. Mark (Jie Mark), Eric Sodomka, and Moses Nicolás E. Stier. "Topics in applied econometrics." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/107319.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Economics, 2016.<br>Cataloged from PDF version of thesis. "with Eric Sodomka and Nicolas E. Stier-Moses"--Page 6 [Below title of Chapter 1].<br>Includes bibliographical references.<br>Chapter 1 focuses on the problem of predicting equilibrium outcomes in large online auction markets. For online retailers, content publishers, and search engines, predicting how the behavior of their auction markets might respond to policy changes is an important business problem. However, this problem is challenging due to both the size and the
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Books on the topic "Economics and econometrics"

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Vlasov, Dmitriy. Econometrics. INFRA-M Academic Publishing LLC., 2025. https://doi.org/10.12737/2145221.

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The textbook presents basic theoretical principles, techniques and methods that are in demand in the practice of empirical analysis of socio-economic situations and forecasting trends in their development. Specific examples are given that reveal the research capabilities of basic-level econometrics and the directions of using the new Wolfram|Alpha tool in applied research based on econometric modeling. Considerable attention is paid to the mathematical apparatus, the peculiarities of socio-economic situations, meaningful interpretations and the possibilities of applying new results obtained th
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Baltagi, Badi H. Econometrics. Springer-Verlag Berlin Heidelberg, 2008.

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M, Amman Hans, Belsley David A, and Pau L. F. 1948-, eds. Computational economics and econometrics. Kluwer Academic Publishers, 1992.

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Newhouse, Joseph P. Health economics and econometrics. Rand, 1987.

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Amman, Hans M., David A. Belsley, and Louis F. Pau, eds. Computational Economics and Econometrics. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-3162-9.

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Babeshko, Lyudmila, Mihail Bich, and Irina Orlova. Econometrics and econometric modeling. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1141216.

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The textbook covers a wide range of issues related to econometric modeling. Regression models are the core of econometric modeling, so the issues of their evaluation, testing of assumptions, adjustment and verification are given a significant place. Various aspects of multiple regression models are included: multicollinearity, dummy variables, and lag structure of variables. Methods of linearization and estimation of nonlinear models are considered. An apparatus for evaluating systems of simultaneous and apparently unrelated equations is presented. Attention is paid to time series models. Deta
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Jon, Stewart. Econometrics. P. Allan, 1991.

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Maddala, G. S. Introduction to econometrics. 2nd ed. Prentice-Hall International, 1992.

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Hill, R. Carter. Principles of econometrics. 3rd ed. Wiley, 2008.

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Richard, Blundell, Newey Whitney K, and Persson Torsten, eds. Advances in economics and econometrics. Cambridge University Press, 2006.

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Book chapters on the topic "Economics and econometrics"

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Pesaran, M. Hashem. "Econometrics." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 1987. http://dx.doi.org/10.1057/978-1-349-95121-5_188-1.

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Geweke, John, Joel Horowitz, and Hashem Pesaran. "Econometrics." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_188-2.

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Geweke, John, Joel Horowitz, and Hashem Pesaran. "Econometrics." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_188.

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H. Baltagi, Badi. "Correction to: Econometrics." In Classroom Companion: Economics. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-80149-6_15.

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Baltagi, Badi H. "What Is Econometrics?" In Classroom Companion: Economics. Springer International Publishing, 2012. http://dx.doi.org/10.1007/978-3-030-80149-6_1.

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McPake, Barbara, Charles Normand, Samantha Smith, and Anne Nolan. "Introductory applied health econometrics." In Health Economics. Routledge, 2020. http://dx.doi.org/10.4324/9781315169729-29.

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Stoker, Thomas M. "Aggregation (Econometrics)." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2620.

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Poirier, Dale J. "Bayesian Econometrics." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2754.

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Jones, Andrew M. "Health Econometrics." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2018. http://dx.doi.org/10.1057/978-1-349-95189-5_2938.

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Conley, Timothy G. "Spatial Econometrics." In The New Palgrave Dictionary of Economics. Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/978-1-349-95121-5_2023-1.

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Conference papers on the topic "Economics and econometrics"

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Nekipelov, Denis, Vasilis Syrgkanis, and Eva Tardos. "Econometrics for Learning Agents." In EC '15: ACM Conference on Economics and Computation. ACM, 2015. http://dx.doi.org/10.1145/2764468.2764522.

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Liu, Ye, and Wei-Bin Huang. "Software choice of econometrics courses for economics undergraduates." In 2009 4th International Conference on Computer Science & Education (ICCSE 2009). IEEE, 2009. http://dx.doi.org/10.1109/iccse.2009.5228286.

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Cladera, Magdalena. "ACCEPTANCE OF THE FLIPPED CLASSROOM BY ECONOMETRICS UNDERGRADUATE ECONOMICS STUDENTS." In 15th International Conference on Education and New Learning Technologies. IATED, 2023. http://dx.doi.org/10.21125/edulearn.2023.0531.

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Nisan, Noam, and Gali Noti. "A "Quantal Regret" Method for Structural Econometrics in Repeated Games." In EC '17: ACM Conference on Economics and Computation. ACM, 2017. http://dx.doi.org/10.1145/3033274.3085111.

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Lomys, Niccolò, and Lorenzo Magnolfi. "Estimation of Games under No Regret: Structural Econometrics for AI." In EC '25: 26th ACM Conference on Economics and Computation. ACM, 2025. https://doi.org/10.1145/3736252.3742516.

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Silaban, Putri Sari M. J., Dede Ruslan, and Joko Suharianto. "An Attempt to Improve the EViews-Based Econometrics Learning." In International Conference on Strategic Issues of Economics, Business and, Education (ICoSIEBE 2020). Atlantis Press, 2021. http://dx.doi.org/10.2991/aebmr.k.210220.042.

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Sholikah, Ni'matus, Choirul Nikmah, and Albrian Prakoso. "Improving Processing Data Skills on Econometrics. Could Cybernetic Learning Theory Practice Do it?" In Social Sciences, Humanities and Economics Conference (SoSHEC 2017). Atlantis Press, 2018. http://dx.doi.org/10.2991/soshec-17.2018.56.

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Blagoveshchenskiy, Yuriy. "Composite distributions in Economics, natural Sciences, and sociology." In Multivariate statistical analysis, econometrics and simulation of real processes. Proceedings of Xth International School-Seminar. CEMI RAS, 2020. http://dx.doi.org/10.33276/978-5-8211-0786-2-33-34.

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FOUQUET, ROGER. "THE GROWTH OF THE COINTEGRATION TECHNIQUE IN UK ENERGY DEMAND MODELLING AND ITS RELATIONSHIP TO DYNAMIC ECONOMETRICS." In Proceedings of the British Institute of Energy Economics Conference. PUBLISHED BY IMPERIAL COLLEGE PRESS AND DISTRIBUTED BY WORLD SCIENTIFIC PUBLISHING CO., 1996. http://dx.doi.org/10.1142/9781848161030_0022.

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Silaban, Putri Sari M. J., Joko Suharianto, Aurora Elise Putriku, Sabda D. N. Siahaan, and Jessica Putri Br Sembiring. "The Effectiveness of Developing Econometrics Learning Media Based on the Website “Poetrisilaban.com” on Learning Outcomes." In 2nd International Conference of Strategic Issues on Economics, Business and, Education (ICoSIEBE 2021). Atlantis Press, 2022. http://dx.doi.org/10.2991/aebmr.k.220104.035.

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Reports on the topic "Economics and econometrics"

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Lozada, Gabriel A. The Perils of Antitrust Econometrics: Unrealistic Engel Curves, Inadequate Data, and Aggregation Bias. Institute for New Economic Thinking Working Paper Series, 2023. http://dx.doi.org/10.36687/inetwp203.

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Some economists argue antitrust policy should be based on empirical methods used by the Industrial Organization subdiscipline of economics, but non-economists must understand that those methods contain certain highly restrictive assumptions. Those assumptions involve econometric “identification,” and treating aggregate demand as if it were generated by a representative consumer (Muellbauer’s “generalized linear” preferences). We derive new results illustrating how restrictive the representative consumer assumption is; we explain aggregation bias in Almost Ideal Demand System models; and we sho
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Angrist, Joshua, and Jörn-Steffen Pischke. The Credibility Revolution in Empirical Economics: How Better Research Design is Taking the Con out of Econometrics. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w15794.

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Hlushak, Oksana M., Svetlana O. Semenyaka, Volodymyr V. Proshkin, Stanislav V. Sapozhnykov, and Oksana S. Lytvyn. The usage of digital technologies in the university training of future bachelors (having been based on the data of mathematical subjects). [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3860.

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This article demonstrates that mathematics in the system of higher education has outgrown the status of the general education subject and should become an integral part of the professional training of future bachelors, including economists, on the basis of intersubject connection with special subjects. Such aspects as the importance of improving the scientific and methodological support of mathematical training of students by means of digital technologies are revealed. It is specified that in order to implement the task of qualified training of students learning econometrics and economic and m
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Neumark, David. The Econometrics and Economics of the Employment Effects of Minimum Wages: Getting from Known Unknowns to Known Knowns. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w25043.

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Enami, Kohei, and John Mullahy. Tobit at Fifty: A Brief History of Tobin's Remarkable Estimator, of Related Empirical Methods, and of Limited Dependent Variable Econometrics in Health Economics. National Bureau of Economic Research, 2008. http://dx.doi.org/10.3386/w14512.

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Bruno, Michael. Econometrics and the Design of Economic Reform. National Bureau of Economic Research, 1988. http://dx.doi.org/10.3386/w2718.

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Fujimura, Manuba, and Christopher Edmonds. Road Infrastructure and Regional Trade: Evidence from the GMS. Inter-American Development Bank, 2006. http://dx.doi.org/10.18235/0006834.

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This presentation discusses: 1) Background of the research and current status of road infrastructure in Greater Mekong Subregion (GMS); 2) Major findings from econometric analysis for GMS; 3) Am ongoing case study on North-South Economic Corridor Project. This presentation was presented at the 3rd Annual Latin America/Caribbean and Asia/Pacific Economics and Business Association (LAEBA) Meeting held in Seoul, South Korea on November 16th, 2006.
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Giuffrida, Antonio, Héctor Macías, and Roberto F. Iunes. Workers' Health in Latin America: An Econometric Analysis of Work-Related Injuries. Inter-American Development Bank, 2001. http://dx.doi.org/10.18235/0009182.

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Occupational health is increasingly recognized as an important public health issue in Latin American and the Caribbean. One major concern is the absence of reliable data on its magnitude and economic consequences. The first part of the paper presents the official statistics on workplace injuries, which suggest that workers in the Region are exposed to occupational risks that are significantly higher than in established market economies. In the empirical part of the paper, we analyze health risk associated with occupational hazard in Mexico. This analysis sheds light on the relationships betwee
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Cessna, Jerry, Molly DelCurto, Angel Terán, and Joseph Crouse. Documentation for the USDA, Economic Research Service, Annual U.S. Dairy Sector Econometric Model. Economic Research Service, U.S. Department of Agriculture, 2023. http://dx.doi.org/10.32747/2023.8122122.ers.

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This report provides documentation for the Annual U.S. Dairy Sector Model used by the USDA, Economic Research Service (ERS). Using econometric estimation, this dynamic model provides projections for supply, demand, and prices for U.S. milk and dairy products over a 10-year period. The model provides support for U.S. dairy projections (baseline projections) published in the USDA Agricultural Projections report each year. The model is also used to provide scenario analyses related to market conditions and various Federal Government policies.
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Vignoles, Anna. Econometrics of STEM Skills Issues of Supply and Demand: the Economic Case for UK plc. The IFS, 2012. http://dx.doi.org/10.1920/ps.ifs.2024.0884.

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