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Record W3152886293

An Interview With Professor Dilip M Nachane

2020· article· en· W3152886293 on OpenAlexaboutno aff
Grk Murty

Bibliographic record

VenueSSRN Electronic Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Economic Development in India
Canadian institutionsnot available
Fundersnot available
KeywordsSchools of economic thoughtManagementSociologyPolitical scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

Inspired by the Strumilin-Mahalanobis model of planning being implemented by the young independent India for laying a strong foundation for its economic growth, a young graduate who had just then passed BA Mathematics, securing first rank with distinction from Bombay University in 1965, in an unusual move decided to pursue another BA degree, this time in Economics as elective, hoping that with his knowledge of Mathematics and Statistics allied with economic theory, he could contribute his mite to the then ongoing India’s planning exercise and its overall economic welfare. After completing BA with Economics, he joined MA Economics at Bombay University and passed in 1968 with first rank. He obtained his PhD in 1973. That young scholar is none other than Dilip Madhukar Nachane, who in 1971 joining his alma mater as a lecturer, became a reader, then UGC Chair in Modern Quantitative Economics in 1978, before finally becoming the Director of the Department of Economics at Mumbai University in 1993. In 2003, Prof. Nachane joined the Indira Gandhi Institute of Development Research (IGIDR) as a Senior Professor, and later in 2007-10, he served as its Director-cum-Vice Chancellor. Since 2010, he has been working as Professor Emeritus at IGIDR. In 2011, he was also appointed the Chancellor of Central University of Manipur. When Prof. Nachane started teaching Mathematical Economics to the first batch of students in 1977-79, there was no tradition of teaching the subject with any of the expected rigor; nor were there any textbooks available like today. According to Romar Correa, the first batch student, their background in Mathematics education was limited to high-school algebra and geometry. Correa says that yet “Prof. Nachane rising to the occasion gamely”, skirting the likely pitfalls of either the sophistication dictated by the reading list that would have been completely incomprehensible to the students, or without trivializing math with chitchat substituting for proofs, “pitched his teaching high but not inaccessible to the outstretched hands”. Correa, Prof. Nachane’s doctoral student, who later became RBI Chair Professor of Monetary Economics, University of Mumbai, further states that Prof. Nachane “is a renaissance man. The history of economics and economic history, literature and philosophy, are part of his makeup and come to the fore in interactions.” No surprise, he was conferred with the UGC Swami Pranavananda Saraswathi National Award in 2004 for his lifelong contribution to the teaching of economics in India. Besides teaching economics for over five-and-a-half decades, Prof. Nachane also guided 40 scholars for PhD in several facets of economics. He has also carried out research into core econometrics, improving the testing tools for causal relationships, computational methods for TVP problems, etc. He has made significant contributions to several areas in economics by publishing more than 100 papers. He has also carried out extensive research in post-liberalization growth in India, impact of reforms on banks’ credit behavior and capital adequacy requirements, etc. It is in recognition of his outstanding contributions to econometric studies in India that he was elected President of the Indian Econometric Society in 2003. For Prof. Nachane, Monetary Economics remained his main research area for almost five decades. He did extensive research in the areas of monetary policy, its transmission to real economy, inflation estimation, exchange rate regimes, business cycles, international trade and balance of payments, etc. During 2005-11, he also served as a member of the Technical Advisory Committee on Monetary Policy of the Reserve Bank of India. His youthful ambition to work for the welfare of the Indian economy appeared to have been fulfilled when he was appointed Member of the Prime Minister’s Economic Advisory Council in 2013. He has recently been included in the International Biographical Center (Cambridge, UK) list of 2000 “Outstanding Intellectuals of the 21st Century.” He was a Visiting Professor at University of British Columbia, Canada (1988-89), University of Manchester, UK (1990), University of Ulster, UK (1991), University of Avigon, France (1997) and Otto von Guericke University, Germany (2002-2004). Once, I heard a Professor describing Monetary Economics as something akin to that of Uankara’s Advaita Vedânta, which apparently sounds simple but profoundly complex to comprehend as an integral whole. There is a certain mysticism encircling it, yet, at the hands of Prof. Nachane, you find monetary issues turning so obvious as he so lucidly articulates his way forward through the maze of issues raised in this interview. He simply makes everything look so very clear to every reader, for he speaks as a teacher but not as an economist. That is his depth of knowledge and his commitment as a teacher to make complex concepts obvious to students, and that is what you will enjoy in the following pages.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.027
Threshold uncertainty score0.092

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0090.002
Scholarly communication0.0040.006
Open science0.0010.004
Research integrity0.0070.017
Insufficient payload (model declined to judge)0.0270.011

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.288
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2020
Admission routes1
Has abstractyes

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