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Title: Predicting the causes and phases of business cycles in India a macro econometric analysis
Researcher: Sumanpreet Kaur
Guide(s): Arora, Nitin
Keywords: Bry Boschan Dating Algorithm
Business Cycles
Business Cycle Synchronisation
Probit Regression
Social Sciences,Economics and Business,Economics
SVAR Modeling
University: Panjab University
Completed Date: 2018
Abstract: The present study has been undertaken to date the business cycles, to determine its causes, to test the sensitivity of Indian business cycles and to finally predict the probability of recession. The Bry and Boschan dating algorithm has been applied for identifying business cycle chronology and the sources of business cycles were identified through SVAR modeling. For analysing the business cycle synchronisation between India and its trading associates, the regression relationships amongst the variables of interest are estimated. Finally, probit regression is also estimated for comparing the actual and predicted phases and for obtaining the probability of recession for the future forecast horizon. The empirical findings suggested that 2 classical cycles, 13 growth cycles, and 16 growth newlinerate cycles were identified in IIP with an average duration of 215, 38 and 32 months respectively. The innovation accounting results revealed that the responses of IIPcy to the monetary sector, fiscal situation, and the commodity market prices were strong and significant in comparison to other shocks. The business cycle correlations and root mean squared analysis confirm the presence of business cycle co-movements between India and its partners except for Iraq. The relation between business cycle synchronisation and trade integration for India is found to be significant with Australia, China, Iran, Saudi Arabia, Singapore and the USA. Finally, the CILI was constructed as a weighted average of all the scrutinised component series. The average duration of lead for peak and trough is reported to be 6.4 months and 7.8 months respectively in case of growth cycles and 5 and 3 months for growth rate cycles. Next, a probit model was estimated for evaluating the predictive power of CILI which reflected an insignificant difference between the actual and predicted phases of the business cycle. And the probability of witnessing a recession in growth and growth rate cycles with forecast horizons of 3, 6, 9 and 12 months, glided around 0.4.
Pagination: 232p.
Appears in Departments:Department of Economics

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01_title.pdfAttached File10.36 kBAdobe PDFView/Open
02_certificate.pdf2.93 MBAdobe PDFView/Open
03_acknowledgement.pdf101.52 kBAdobe PDFView/Open
04_contents.pdf110.98 kBAdobe PDFView/Open
05_list_of_tables.pdf79.35 kBAdobe PDFView/Open
06_list_of_figures.pdf98.97 kBAdobe PDFView/Open
07_list_of_acronyms_and_abbreviations.pdf224.04 kBAdobe PDFView/Open
08_chapter1.pdf313.69 kBAdobe PDFView/Open
09_chapter2.pdf583.71 kBAdobe PDFView/Open
10_chapter3.pdf570 kBAdobe PDFView/Open
11_chapter4.pdf556.06 kBAdobe PDFView/Open
12_chapter5.pdf376.78 kBAdobe PDFView/Open
13_chapter6.pdf465.16 kBAdobe PDFView/Open
14_chapter7.pdf1 MBAdobe PDFView/Open
15_chapter8.pdf262.04 kBAdobe PDFView/Open
16_bibliography_and_references.pdf299.7 kBAdobe PDFView/Open
17_appendix_tables.pdf530.29 kBAdobe PDFView/Open

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