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  1. Three Interviews.Miro Brada - manuscript
    To support my Phd theses and results of my grant research in 1999, I asked 1) prominent chemist Antonín Holý, author of substances to treat hepatitis and HIV, about the indivisibility of the art and science (published in Slovak Narodna Obroda and Czech blisty,cz), 2) the distinguished economist William Baumol about the alternative activities (published in Slovak Nove Slovo, Czech Respekt and blisty.cz), 3) Nobel Laureate Clive Granger about the significance of the economics (published in 2004 in Czech weekly Tyden). (...)
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  2. Sated but Thirsty – A Prolegomenon to Multidimensional Measures of Need-Based Justice.Alexander Max Bauer - forthcoming - Axiomathes:1-10.
    In attempts to compare different distributions with regards to need, so-called “measures of need-based distributive justice” have emerged in recent years. Each of the proposed measures relies on a single dimension of need that is taken into account. This is shown to be problematic since humans experience different kinds of need that appear to be incommensurable. A strategy to deal with this problem is introduced by using multidimensional measures.
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  3. If Inductive Logic Programming Leads, Will Data Mining Follow?Randy Goebel - forthcoming - Proceedings of the Japanese Society for Artificial Intelligence, Foundations of Ai Special Interest Group Workshop on Inductive Logic Programming.
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  4. Pandemic Economic Crisis: Changes and New Challenges to Society: Scientific Monograph.Maksym Bezpartochnyi (ed.) - 2020 - Sofia, Bułgaria: VUZF Publishing House “St. Grigorii Bogoslov”.
    The current economic crisis caused by the COVID-19 pandemic has created new changes and challenges for society, which has led to a deeper identification of pressing problems and to develop strategies and models for overcoming crises in various countries, industries and businesses. The formation and improvement of modern strategies and models of crisis management is impossible without optimizing the resources of economic entities, providing assistance at various levels of government to support priority sectors of the economy, finding additional sources of (...)
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  5. Blockchain Technology in the Fiscal Process of Ukraine/I. Britchenko, T. Cherniavska//Списание «Икономически Изследвания (Economic Studies)». – Институт За Икономически Изследвания При БАН, София (България). – Volume 28, Issue 5 – 2019. – P. 134-148. ISSN 02053292.Igor Britchenko & Cherniavska Tetiana - 2019 - Списание «Икономически Изследвания (Economic Studies)» 28 (5):134-148.
    The problem of corruption in Ukraine has been examined, as well as Blockchain technology application feasibility in combating the phenomenon has been analyzed in the article. Blockchain instrumental features and properties, making the technology unique and determining its potential applications in many sectors of the economy, have been covered with much attention. The authors have analyzed both advantages and obstacles for a distributed data registry implementation. Analysis of benchmarks and application of the best practices of Blockchain technology in the public (...)
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  6. Imagination Rather Than Observation in Econometrics: Ragnar Frisch’s Hypothetical Experiments as Thought Experiments.Catherine Herfeld - 2019 - Hopos: The Journal of the International Society for the History of Philosophy of Science 9 (1):35-74.
    In economics, thought experiments are frequently justified by the difficulty of conducting controlled experiments. They serve several functions, such as establishing causal facts, isolating tendencies, and allowing inferences from models to reality. In this paper, I argue that thought experiments served a further function in economics: facilitating the quantitative definition and measurement of the theoretical concept of utility, thereby bridging the gap between theory and statistical data. I support my argument by a case study, the “hypothetical experiments” of the Norwegian (...)
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  7. Implementation of ICO European Best Practices by SMEs.Alla Ivashchenko, Yevheniia Polishchuk & Igor Britchenko - 2018 - Economic Annals-XXI 169 (1-2):67-71.
    The article deals with a new financial tool of attracting capital, known as Initial Coin Offering (ICO). In conditions of reduced banking lending and difficult access to finance for SMEs, ICO is viewed to be one of the possible ways to access capital. It considers the main advantages and disadvantages of ICO performance, including its typical features, challenges and regulatory approaches to tax regulation, cybersecurity. The authors of the article determine stages of the ICO mechanism, identifying potential risks and ways (...)
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  8. Theoretical and Methodological Context of (Post)-Modern Econometrics and Competing Philosophical Discourses for Policy Prescription.Emerson Abraham Jackson - 2018 - Journal of Heterodox Economics 4 (2):119-129.
    This research article was championed as a way of providing discourses pertaining to the concept of "Critical Realism (CR)" approach, which is amongst many othe forms of competing postmodern philosophical concepts for the engagement of dialogical discourses in the area of established econonetric methodologies for effective policy prescription in the economic science discipline. On the the whole, there is no doubt surrounding the value of empirical endeavours in econometrics to address real world economic problems, but equally so, the heavy weighted (...)
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  9. ОБҐРУНТУВАННЯ СТРАТЕГІЇ САМОДОСТАТНЬОГО РОЗВИТКУ ТРАНСПОРТНО-КОМУНІКАТИВНОЇ СИСТЕМИ УКРАЇНИ.Igor Britchenko, Брітченко Ігор Геннадійович & Чернявська Тетяна Анатоліївна - 2017 - Науковий Журнал «Молодий Вчений» 4 (44.4):12-16.
    Стаття присвячена дослідженню питань формування нової стратегії самодостатнього розвитку транспортно- комунікативної системи України. Проаналізовано стратегічний документ «Транспортна стратегія України на період до 2020 р.» та виявлено низку недоліків. Було виокремлено недоліки стратегічного та методич- ного характеру. Окрему увагу автором приділено недосконалості системи стратегічних документів, які регулюють розвиток ТКС, відсутності деяких стратегій розвитку галузей ТКС, проблемам фінансування, а також проблемам, пов’язаним з цільовими програмами розвитку. Вказано на проблеми, пов’язані із структурним наповненням зазначеної стратегії. -/- Статья посвящена исследованию вопросов формирования новой стратегии (...)
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  10. Proposed Methodology for Estimating the Index of Social Exclusion: The Case of Indigenous Population in the State of Veracruz Mexico.Carlos Medel-Ramírez - 2017 - RINOE Journal 1 (1):1-15.
    Recent studies have shown that the indigenous population has been subject to social exclusion (Medel, 2016; Tetreault,2012; Rionda,2010; Del Popolo et al.,2009; World Bank,2004; Uquillas et al.,2003; Appasamy,1996). However, in the case of Mexico, there is no indicator to measure the degree of social exclusion. This article presents a methodology for estimating social exclusion index (IES) by estimating main components. Our proposal is to incorporate the index of social exclusion as a factor that can explain the current status of poverty (...)
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  11. Data Mining and Privacy of Social Network Sites’ Users: Implications of the Data Mining Problem.Yeslam Al-Saggaf & Md Zahidul Islam - 2015 - Science and Engineering Ethics 21 (4):941-966.
    This paper explores the potential of data mining as a technique that could be used by malicious data miners to threaten the privacy of social network sites users. It applies a data mining algorithm to a real dataset to provide empirically-based evidence of the ease with which characteristics about the SNS users can be discovered and used in a way that could invade their privacy. One major contribution of this article is the use of the decision forest data mining algorithm (...)
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  12. Two Approaches to Reasoning From Evidence or What Econometrics Can Learn From Biomedical Research.Julian Reiss - 2015 - Journal of Economic Methodology 22 (3):373-390.
    This paper looks at an appeal to the authority of biomedical research that has recently been used by empirical economists to motivate and justify their methods. I argue that those who make this appeal mistake the nature of biomedical research. Randomised trials, which are said to have revolutionised biomedical research, are a central methodology, but according to only one paradigm. There is another paradigm at work in biomedical research, the inferentialist paradigm, in which randomised trials play no special role. I (...)
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  13. Revisiting Haavelmo's Structural Econometrics: Bridging the Gap Between Theory and Data.Aris Spanos - 2015 - Journal of Economic Methodology 22 (2):171-196.
    The objective of the paper is threefold. First, to argue that some of Haavelmo's methodological ideas and insights have been neglected because they are largely at odds with the traditional perspective that views empirical modeling in economics as an exercise in curve-fitting. Second, to make a case that this neglect has contributed to the unreliability of empirical evidence in economics that is largely due to statistical misspecification. The latter affects the reliability of inference by inducing discrepancies between the actual and (...)
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  14. Better Decision Support Through Exploratory Discrimination-Aware Data Mining: Foundations and Empirical Evidence.Bettina Berendt & Sören Preibusch - 2014 - Artificial Intelligence and Law 22 (2):175-209.
    Decision makers in banking, insurance or employment mitigate many of their risks by telling “good” individuals and “bad” individuals apart. Laws codify societal understandings of which factors are legitimate grounds for differential treatment —or are considered unfair discrimination, including gender, ethnicity or age. Discrimination-aware data mining implements the hope that information technology supporting the decision process can also keep it free from unjust grounds. However, constraining data mining to exclude a fixed enumeration of potentially discriminatory features is insufficient. We argue (...)
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  15. The Econometric Modelling of Social Preferences.Anna Conte & Peter G. Moffatt - 2014 - Theory and Decision 76 (1):119-145.
    Experimental data on social preferences present a number of features that need to be incorporated in econometric modelling. We explore a variety of econometric modelling approaches to the analysis of such data. The approaches under consideration are: the Random Utility approach ; the Random Behavioural approach ; and the Random Preference approach. These approaches are applied in various ways to an experiment on fairness conducted by Cappelen et al. :818–827, 2007). Various models that we estimate succeed in capturing the key (...)
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  16. Causal Models and Evidential Pluralism in Econometrics.Alessio Moneta & Federica Russo - 2014 - Journal of Economic Methodology 21 (1):54-76.
    Social research, from economics to demography and epidemiology, makes extensive use of statistical models in order to establish causal relations. The question arises as to what guarantees the causal interpretation of such models. In this paper we focus on econometrics and advance the view that causal models are ‘augmented’ statistical models that incorporate important causal information which contributes to their causal interpretation. The primary objective of this paper is to argue that causal claims are established on the basis of a (...)
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  17. The First Mining Boom: The Impact of the Gold Rushes on Colonial Victoria.Marion Littlejohn - 2013 - Agora (History Teachers' Association of Victoria) 48 (1):20.
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  18. Indonesian Mining Landscapes. The Reclamation of Ore Mining Sites in Mimika Regency, Papua.Puspita Galih Resi - 2013 - Topos: European Landscape Magazine 82:42.
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  19. Savant Officials in the Prussian Mining Administration.Ursula Klein - 2012 - Annals of Science 69 (3):349-374.
    Summary In the second half of the eighteenth century, the Prussian State supported savants who combined learned inquiry into nature with technical work. Members of the physical and mathematical classes of the Royal Prussian Academy of Sciences were involved in State projects such as surveying for the construction of canals, chemical analysis of Silesian iron, production of porcelain and of beet sugar. Some of these men were truly ?hybrid? experts living both in the worlds of State-directed manufacture and academic natural (...)
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  20. The Hybrid Expert in the 'Bergstaat': Anton von Ruprecht as a Professor of Chemistry and Mining and as a Mining Official, 1779–1814. [REVIEW]Peter Konečný - 2012 - Annals of Science 69 (3):335-347.
    Summary In the course of the 18th century a new type of scientifically educated functional elites developed, who were trained to administer mines. The educational project that led to the formation of a corps of mining engineers was part of a programme of administrative and economic reforms that led to a new configuration of bonds between state, economy and science. At the same time the status of this new group of experts was predicated substantially by the new emerging corpora of (...)
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  21. The Error Term and its Interpretation in Structural Models in Econometrics.Damien Fennell - 2011 - In Phyllis McKay Illari, Federica Russo & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press.
  22. Mining Civilizational Knowledge.Susantha Goonatilake - 2011 - In Sandra G. Harding (ed.), The Postcolonial Science and Technology Studies Reader. Duke University Press. pp. 380.
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  23. A Metaphysical Mix: Morphing, Mal, and Mining.Hud Hudson - 2011 - Philosophical Perspectives 25 (1):223-239.
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  24. Explaining Growth? The Case of the Trade–Growth Relationship.Jonathan Perraton - 2011 - Journal of Economic Methodology 18 (3):283-296.
    This paper provides a critical analysis of the modelling strategies adopted in the trade?growth literature. Despite a huge number of econometric studies, there is a growing dissatisfaction with such studies and serious questions over what exactly has been learnt from them. Econometric work has been criticized for, amongst other things, its lack of clear relationship to underlying theory and questionable use of proxies for trade policy. It is frequently unclear what hypothesis is being tested in this literature. Universalist assumptions of (...)
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  25. Can Graphical Causal Inference Be Extended to Nonlinear Settings?Nadine Chlaß & Alessio Moneta - 2010 - In M. Dorato M. Suàrez (ed.), Epsa Epistemology and Methodology of Science. Springer. pp. 63--72.
  26. Econometrics : A Varying Coefficients Approach.Baldev Raj & Aman Ullah - 2010 - Routledge.
    Originally published in 1981, this book considers one particular area of econometrics- the linear model- where significant recent advances have been made. It considers both single and multiequation models with varying co-efficients, explains the various theories and techniques connected with these and goes on to describe the various applications of the models. Whilst the detailed explanation of the models will interest primarily econometrics specialists, the implications of the advances outlined and the applications of the models will intrest a wide range (...)
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  27. Review of Representation and Structure in Economics. The Methodology of Econometric Models of the Consumption Function. [REVIEW]Federica Russo - 2010 - Economics and Philosophy 26 (1):114-118.
  28. Econometric Reduction Theory and Philosophy.Genaro Sucarrat - 2010 - Journal of Economic Methodology 17 (1):53-75.
    Econometric reduction theory provides a comprehensive probabilistic framework for the analysis and classification of the reductions (simplifications) associated with empirical econometric models. However, the available approaches to econometric reduction theory are unable to satisfactorily accommodate a commonplace theory of social reality, namely that the course of history is indeterministic, that history does not repeat itself and that the future depends on the past. Using concepts from philosophy this paper proposes a solution to these shortcomings, which in addition permits new reductions, (...)
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  29. Econometric Theory and Methods: International Edition.Russell Davidson - 2009 - Oxford University Press USA.
    Econometric Theory and Methods International Edition provides a unified treatment of modern econometric theory and practical econometric methods. The geometrical approach to least squares is emphasized, as is the method of moments, which is used to motivate a wide variety of estimators and tests. Simulation methods, including the bootstrap, are introduced early and used extensively. The book deals with a large number of modern topics. In addition to bootstrap and Monte Carlo tests, these include sandwich covariance matrix estimators, artificial regressions, (...)
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  30. The Miracle of the Septuagint and the Promise of Data Mining in Economics.Stan Du Plessis - 2009 - In Harold Kincaid & Don Ross (eds.), The Oxford Handbook of Philosophy of Economics. Oxford University Press.
  31. Statistical Vs. Economic Significance in Economics and Econometrics: Further Comments on McCloskey and Ziliak.Tom Engsted - 2009 - Journal of Economic Methodology 16 (4):393-408.
    I comment on the controversy between McCloskey and Ziliak and Hoover and Siegler on statistical versus economic significance, in the March 2008 issue of the Journal of Economic Methodology. I argue that while McCloskey and Ziliak are right in emphasizing ?real error?, i.e. non-sampling error that cannot be eliminated through specification testing, they fail to acknowledge those areas in economics, e.g. rational expectations macroeconomics and asset pricing, where researchers clearly distinguish between statistical and economic significance and where statistical testing plays (...)
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  32. The Cult of Statistical Significance: How the Standard Error Costs Us Jobs, Justice, and Lives.Chee Kian Leong - 2009 - Journal of Economic Methodology 16 (4):431-434.
  33. Error in Economics and the Error Statistical Approach.Aris Spanos - 2009 - Economics and Philosophy 25 (2):206.
  34. Categorized and Integrated Data Mining of Clinical Data.Akinori Abe, Norihiro Hagita, Michiko Furutani, Yoshiyuki Furutani & Rumiko Matsuoka - 2008 - In S. Iwata, Y. Oshawa, S. Tsumoto, N. Zhong, Y. Shi & L. Magnani (eds.), Communications and Discoveries From Multidisciplinary Data. Springer. pp. 315-330.
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  35. Temporal Data Mining for Educational Applications.Carole R. Beal & Paul R. Cohen - 2008 - In Tu-Bao Ho & Zhi-Hua Zhou (eds.), Pricai 2008: Trends in Artificial Intelligence. Springer. pp. 66--77.
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  36. Sound and Fury: McCloskey and Significance Testing in Economics.Kevin D. Hoover & Mark V. Siegler - 2008 - Journal of Economic Methodology 15 (1):1-37.
    For more than 20 years, Deidre McCloskey has campaigned to convince the economics profession that it is hopelessly confused about statistical significance. She argues that many practices associated with significance testing are bad science and that most economists routinely employ these bad practices: ?Though to a child they look like science, with all that really hard math, no science is being done in these and 96 percent of the best empirical economics ?? (McCloskey 1999). McCloskey's charges are analyzed and rejected. (...)
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  37. Risk Mining for Infection Control.Shusaku Tsumoto, Kimiko Matsuoka & Shigeki Yokoyama - 2008 - In S. Iwata, Y. Oshawa, S. Tsumoto, N. Zhong, Y. Shi & L. Magnani (eds.), Communications and Discoveries From Multidisciplinary Data. Springer. pp. 283--297.
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  38. Why Functional Form Matters: Revealing the Structure in Structural Models in Econometrics.Damien Fennell - 2007 - Philosophy of Science 74 (5):1033-1045.
    This paper argues that econometricians' explicit adoption of identification conditions in structural equation modelling commits them to read the functional form of their equations in a strong, nonmathematical way. This content, which is implicitly attributed to the functional form of structural equations, is part of what makes equation structural. Unfortunately, econometricians are not explicit about the role functional form plays in signifying structural content. In order to remedy this, the second part of this paper presents an interpretation of the functional (...)
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  39. Causality, Mechanisms and Modularity: Structural Models in Econometrics.Damien Fennell - 2007 - In Federica Russo & Jon Williamson (eds.), Causality and Probability in the Sciences. pp. 161--177.
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  40. The Cointegrated Var Model.Katarina Juselius - 2007 - Oxford University Press USA.
    This valuable text provides a comprehensive introduction to VAR modelling and how it can be applied. In particular, the author focuses on the properties of the Cointegrated VAR model and its implications for macroeconomic inference when data are non-stationary. The text provides a number of insights into the links between statistical econometric modelling and economic theory and gives a thorough treatment of identification of the long-run and short-run structure as well as of the common stochastic trends and the impulse response (...)
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  41. Data-Mining Probabilists or Experimental Determinists.Thomas Richardson, Laura Schulz & Alison Gopnik - 2007 - In Alison Gopnik & Laura Schulz (eds.), Causal Learning: Psychology, Philosophy, and Computation. Oxford University Press. pp. 208--230.
  42. Part VI-Risk Management Systems with Intelligent Data Analysis-Implementing an Integrated Time-Series Data Mining Environment Based on Temporal Pattern Extraction Methods: A Case Study of An.Hidenao Abe, Miho Ohsaki, Hideto Yokoi & Takahira Yamaguchi - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 425-435.
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  43. Prediction or Prophecy? The Boundaries of Economic Foreknowledge and Their Socio-Political Consequences.Gregor Betz - 2006 - DUV.
    Gregor Betz explores the following questions: Where are the limits of economics, in particular the limits of economic foreknowledge? Are macroeconomic forecasts credible predictions or mere prophecies and what would this imply for the way economic policy decisions are taken? Is rational economic decision making possible without forecasting at all?
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  44. Data Mining, Retrieval and Management-An Interactive Hybrid System for Identifying and Filtering Unsolicited E-Mail.M. Dolores del Castillo & J. Ignacio Serrano - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 779-788.
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  45. Economic History and Economic Theory.Filippo Cesarano - 2006 - Journal of Economic Methodology 13 (4):447-467.
    Since the mid?1950s the spread of formal models and econometric method has greatly improved the study of the past, giving rise to the ?new? economic history; at the same time, the influence of economic history on economists and economics has markedly declined. This paper argues that the contribution of history to the advancement of economics is still paramount, as is evident from the evolution of monetary theory and institutions.JEL classification: NO1, A12.
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  46. Data Mining, Retrieval and Management-Using Rough Set to Find the Factors That Negate the Typical Dependency of a Decision Attribute on Some Condition Attributes.Honghai Feng, Hao Xu, Baoyan Liu, Bingru Yang, Zhuye Gao & Yueli Li - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 713-720.
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  47. Fragility and Robustness in Econometrics: Introduction to the Symposium.Kevin D. Hoover - 2006 - Journal of Economic Methodology 13 (2):159-160.
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  48. Econometrics: Theoretical Foundations and Empirical Perspectives.Dilip M. Nachane - 2006 - Oxford University Press India.
    The book covers both the theory and the applications aspects of econometric theory with reference to India/developing countries. It is comprehensive in its coverage of topics, contains exercises and solved examples and uses applications, detailed illustrative examples from the Indian economy, and data, both from India and the West.Twenty-three chapters spread over eight parts take students from methodology to the statistical foundations and then lead into general models, advanced econometrics, and the newer areas of study.
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  49. Revisiting the Omitted Variables Argument: Substantive Vs. Statistical Adequacy.Aris Spanos - 2006 - Journal of Economic Methodology 13 (2):179-218.
    The problem of omitted variables is commonly viewed as a statistical misspecification issue which renders the inference concerning the influence of X t on yt unreliable, due to the exclusion of certain relevant factors W t . That is, omitting certain potentially important factors W t may confound the influence of X t on yt . The textbook omitted variables argument attempts to assess the seriousness of this unreliability using the sensitivity of the estimator to the inclusion/exclusion of W t (...)
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  50. Data Mining and the Privatization of Accountability.Edward Tverdek - 2006 - Public Affairs Quarterly 20 (1):67-94.
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