TR
EN
FORECASTING INFLATION THROUGH ECONOMETRIC MODELS: AN EMPIRICAL STUDY ON PAKISTANI DATA
Öz
This article aims at modeling and forecasting inflation in Pakistan. For this purpose a number of econometric approaches are implemented and their results are compared. In ARIMA models, adding additional lags for p and/or q necessarily reduced the sum of squares of the estimated residuals. When a model is estimated using lagged variables, some observations are lost. Results further indicate that the VAR models do not perform better than the ARIMA 2, 1, 2 models and, the two factor model with ARIMA 2, 1, 2 slightly performs better than the ARIMA 2, 1, 2 . Although the study focuses on the problem of macroeconomic forecasting, the empirical results have more general implications for small scale macroeconometric models.
Anahtar Kelimeler
Kaynakça
- BAI, J., (2003). Inferential theory for factor models of large dimensions. Econometrica. 71, (1), pp.135-171.
- BAI, J. & NG, S. (2002). Determining the number of factors in approximate factor models. Econometrica. 70, (1), pp.191-221.
- BAILLIE, R.T. & CHUNG, C. (1996). Analyzing inflation by the fractionally integrated ARFIMA-GARCH model. Journal of Applied Econometrics. 11, (1), pp.23-40.
- BIDARKOTA, P.V. & MCCULLOCH, J.H. (1998). Optimal univariate inflation forecasting with symmetric stable shocks. Journal of Applied Econometrics. 13, (6), pp.659-670.
- CARLSON, J.A., 1977. Short-term interest rates as predictors of inflation: Comment. The American Review. 67, (3), pp.469-475.
- CONNOR, G. & KORAJZCYK R.A. (1993). A test for the number of factors in an approximate factor model. The Journal of Finance. 48, (4), pp.1263-1291.
- DAVIS, E.P. & FAGAN, G. (1997). Are financial spreads useful indicators of future inflation and output growth in EU countries? Journal of Applied Econometrics. 12, (6), pp.701-714.
- ENGLE, R.F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica. 50, (4), pp.987- 1008.
Ayrıntılar
Birincil Dil
İngilizce
Konular
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Bölüm
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Yayımlanma Tarihi
1 Ocak 2006
Gönderilme Tarihi
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Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2006 Cilt: 7 Sayı: 1
APA
Bokharı, S. M. H., & Feridun, M. (2006). FORECASTING INFLATION THROUGH ECONOMETRIC MODELS: AN EMPIRICAL STUDY ON PAKISTANI DATA. Doğuş Üniversitesi Dergisi, 7(1), 39-47. https://izlik.org/JA44JB94SK
AMA
1.Bokharı SMH, Feridun M. FORECASTING INFLATION THROUGH ECONOMETRIC MODELS: AN EMPIRICAL STUDY ON PAKISTANI DATA. DOUJ. 2006;7(1):39-47. https://izlik.org/JA44JB94SK
Chicago
Bokharı, S. M. Husnain, ve Mete Feridun. 2006. “FORECASTING INFLATION THROUGH ECONOMETRIC MODELS: AN EMPIRICAL STUDY ON PAKISTANI DATA”. Doğuş Üniversitesi Dergisi 7 (1): 39-47. https://izlik.org/JA44JB94SK.
EndNote
Bokharı SMH, Feridun M (01 Ocak 2006) FORECASTING INFLATION THROUGH ECONOMETRIC MODELS: AN EMPIRICAL STUDY ON PAKISTANI DATA. Doğuş Üniversitesi Dergisi 7 1 39–47.
IEEE
[1]S. M. H. Bokharı ve M. Feridun, “FORECASTING INFLATION THROUGH ECONOMETRIC MODELS: AN EMPIRICAL STUDY ON PAKISTANI DATA”, DOUJ, c. 7, sy 1, ss. 39–47, Oca. 2006, [çevrimiçi]. Erişim adresi: https://izlik.org/JA44JB94SK
ISNAD
Bokharı, S. M. Husnain - Feridun, Mete. “FORECASTING INFLATION THROUGH ECONOMETRIC MODELS: AN EMPIRICAL STUDY ON PAKISTANI DATA”. Doğuş Üniversitesi Dergisi 7/1 (01 Ocak 2006): 39-47. https://izlik.org/JA44JB94SK.
JAMA
1.Bokharı SMH, Feridun M. FORECASTING INFLATION THROUGH ECONOMETRIC MODELS: AN EMPIRICAL STUDY ON PAKISTANI DATA. DOUJ. 2006;7:39–47.
MLA
Bokharı, S. M. Husnain, ve Mete Feridun. “FORECASTING INFLATION THROUGH ECONOMETRIC MODELS: AN EMPIRICAL STUDY ON PAKISTANI DATA”. Doğuş Üniversitesi Dergisi, c. 7, sy 1, Ocak 2006, ss. 39-47, https://izlik.org/JA44JB94SK.
Vancouver
1.S. M. Husnain Bokharı, Mete Feridun. FORECASTING INFLATION THROUGH ECONOMETRIC MODELS: AN EMPIRICAL STUDY ON PAKISTANI DATA. DOUJ [Internet]. 01 Ocak 2006;7(1):39-47. Erişim adresi: https://izlik.org/JA44JB94SK