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THE JOURNAL OF ECONOMIC SCIENCES: THEORY AND PRACTICE, V.72,  # 2, 2015, pp. 4-23


                                          FACTOR-AUGMENTED J-CURVE

                                                Mahammad R. Jamilov
                                 Ph.D., Azerbaijan State University of Economics (UNEC)

                                                  Rustam M. Jamilov
                     Ph.D., London Business School. Corresponding author. We are grateful to Mohsen
                      Bahmani-Oskooee for providing the trade balance data. Opinion presented in this
                    paper belongs solely to the authors and does not necessarily reflect the viewpoints of
                                                     UNEC or LBS

                    Received 16 July 2015; accepted 16 December 2015; published online 29 December 2015

                                                        Abstract
                    We  introduce  the  notion  of  the  factor-augmented  J-curve  which  substantially
                    improves  the  presentation  of  and  the  intuition  behind  industrial  J-curve  analysis.
                    Explorative factor analysis is performed on a large number of bilateral industry-level
                    trade  balances,  and  a  small  number  of  common  factors  is  extracted.  An  Auto-
                    Regressive Distributed (ARDL) model is then estimated for the bilateral exchange
                    rate and the scores of the extracted factors. The new strategy is tested on a dataset of
                    US-China  bilateral  trade  over  the  1981-2006  period.  Factor  analysis  reduces  the
                    parameter  dimension  from  59  industries  to  9  composite  factors,  to  which  we
                    arbitrarily assign intuitive labels. Estimation of the trade balance model via ARDL
                    reveals that for 3 factors, namely Total Trade, Heavy Metals and Organic Chemical
                    Industries, and Agriculture and Non-Organic Chemical Industries, the trade balance
                    improves in the long run following a depreciation in the exchange rate. Evidence for
                    the presence of the J-curve effect in the short run is also found. According to the
                    CUSUM  and  CUSUMSQ  tests  for  parameter  stability  our  results  are  stable  and
                    policy  implications  are  robust.  This  analysis  carries  policy  implications  and  is
                    replicable for any bilateral trade dataset.

                    Keywords: J-curve; Marshall-Lerner Condition; Factor Analysis; ARDL Regression
                    JEL Codes: C38, F14, F31
                         Introduction
                         The methodological journey of the J-curve stream of literature has been long and
                    extensive.  The  nexus  between  trade  balance  performance  and  exchange  rate

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