PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2020 | 14 | nr 2 | 162--181
Tytuł artykułu

Effectiveness of Monetary Policy on Money and Credit in Pakistan

Autorzy
Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper analyzes the effectiveness of monetary policy on money and credit in Pakistan by using the data rich environment. FAVAR model is used which consists of 115 macroeconomic variable for the period 1992:01 to 2010:12. Results depict that after a positive shock in interest rate (discount rate), M0 and M1 do not show any significant response, while M2 shows an instantaneous decline and shows revival after 34 months. Credit to public sector enterprises and credit to private sector both decline after a positive shock in monetary policy but credit to private sector declines more than credit to public sector enterprises and M2. An increase in interest rate discourages private sector which leads to slowdown in the economic activities and creates pressure on prices to increase. In Pakistan, the adverse victim of monetary policy is credit to private sector, therefore policy should be tailored to consider the demands of credit by private sector. The policies should be made which provide the credit to private sector at a subsidized rate and the environment of investment should be promoted by the authorities in the country. (original abstract)
Słowa kluczowe
Rocznik
Tom
14
Numer
Strony
162--181
Opis fizyczny
Twórcy
autor
  • University of Central Punjab, Pakistan
Bibliografia
  • Agha, A. I., Ahmed, N., Mubarik, Y. A., & Shah, H. (2005). Transmission mechanism of monetary policy in Pakistan. SBP-Research Bulletin, 1(1), 1-23.
  • Ahmad, I., & Qayyum, A. (2008). Effect of government spending and macro-economic uncertainty on private investment in services sector: Evidence from Pakistan. European Journal of Economics, Finance and Administrative Sciences, 1, 84-96.
  • Alam, T., & Waheed, M. (2006). Sectoral effects of monetary policy: Evidence from Pakistan. The Pakistan Development Review, 45(4), 1103-1115.
  • Amjad, R., Din, M., & Qayyum, A. (2011). Pakistan: Breaking out of stagflation into sustained growth. Lahore Journal of Economics, 16(SE), 13-30.
  • Bagliano, F. C., & Favero, C. A. (1998). Measuring monetary policy with VAR models: An evaluation. European Economic Review, 42(6), 1069-1112.
  • Bai, J., & Ng, S. (2002). Determining the number of factors in approximate factor models. Econometrica, 70(1), 191-221.
  • Bean, C. S., Larsen, J. D., & Nikolov, K. (2002). Financial frictions and the monetary transmission mechanism: Theory, evidence and implications. European Central Bank Working Papers No. 113. Frankfurt: European Central Bank.
  • Bernanke, B. S. (1983). Non-monetary effects of the financial crisis in the propagation of the Great Depression. The American Economic Review, 73(3), 257-276.
  • Bernanke, B. S., & Blinder, A. S. (1988). Credit, money, and aggregate demand. The American Economic Review, 78(2), 435-39.
  • Bernanke, B. S., & Blinder, A. S. (1992). The federal funds rate and the channels of monetary transmission. The American Economic Review, 82(4), 901-921.
  • Bernanke, B. S., & Boivin, J. (2003). Monetary policy in a data-rich environment. Journal of Monetary Economics, 50(3), 525-546.
  • Bernanke, B. S., & Gertler, M. (1989). Agency costs, net worth, and business fluctuations. The American Economic Review, 79(1), 14-31.
  • Bernanke, B. S., & Gertler, M. (1995). Inside the black box: The credit channel of monetary policy transmission. The Journal of Economic Perspectives, 9(4), 27-48.
  • Bernanke, B. S., Boivin, J., & Eliasz, P. S. (2005). Measuring the effects of monetary policy: A factoraugmented vector autoregressive (FAVAR) approach. The Quarterly Journal of Economics, 120(1), 387-422.
  • Bernanke, B. S., Gertler, M., & Gilchrist, S. (1999). The financial accelerator in a quantitative business cycle framework. In: J. B. Taylor & M. Woodford (Eds.), Handbook of Macroeconomics (pp. 1341-1393). Elsevier.
  • Blaes, B. (2009). Money and monetary policy transmission in the Euro area: Evidence from FAVAR and VAR approaches. Deutsche Bundesbank Discussion Paper no. 18. Frankfurt: Deutsche Bundesbank.
  • Blinder, A. S., & Stiglitz, J. E. (1983). Money, credit constraints, and economic cctivity. The American Economic Review, 73(2), 297-302.
  • Christiano, L. J., Eichenbaum, M., & Evans, C. L. (1999). Monetary policy shocks: what have we learned and to what end? In: J. B. Taylor & M. Woodford (Eds.), Handbook of Macroeconomics (pp. 65-148). Elsevier.
  • Gertler, M., & Gilchrist, S. (1993). The role of credit market imperfections in the monetary transmission mechanism: Arguments and evidence. The Scandinavian Journal of Economics, 95(1), 43-64.
  • Greenwald, B. C., & Stiglitz, J. E. (1993). Financial market imperfections and business cycles. The Quarterly Journal of Economics, 108(1), 77-114.
  • Hamilton, J. D. (1994), Time Series Analysis. Princeton University Press.
  • Ireland, P. N. (2005). The Monetary Transmission Mechanism. Federal Reserve Bank of Boston Working Papers No. 06. Boston: Federal Reserve Bank of Boston.
  • Javid, M., & Munir, K. (2010). The price puzzle and monetary policy transmission mechanism in Pakistan: Structural vector autoregressive approach. The Pakistan Development Review, 49(4), 449-460.
  • Kabundi, A., & Ngwenya, N. (2011). Assessing monetary policy in South Africa in a data-rich environment. South African Journal of Economics, 79(1), 91-107.
  • Kamin, S., Turner, P., & Dack, J. V. (1998). The transmission of monetary policy. Bank for International Settlements Policy Paper No. 3. Basel: Bank for International Settlements.
  • Kashyap, A. K., & Stein, J. C. (1994). Monetary policy and bank lending. In: N. G. Mankiw (Ed.), Monetary policy (pp. 221-261). University of Chicago Press.
  • Kilian, L. (1998). Small-sample confidence intervals for impulse response functions. The Review of Economics and Statistics, 80(2), 218-230.
  • Kiyotaki, N., & Moore, J. (1997). Credit cycles. Journal of Political Economy, 105(2), 211-248.
  • Kuttner, K. N., & Mosser, P. C. (2002). The Monetary transmission mechanism: Some answers and further questions. Federal Reserve Bank of New York Economic Policy Review, 8(1), 15-26.
  • Lagana, G., & Mountford, A. (2005). Measuring monetary policy in the U.K.: A factor-augmented vector autoregression model approach. The Manchester School, 73(SE), 77-98.
  • Lutkepohl, H. (2005). New introduction to multiple time series analysis. Springer-Verlag.
  • Mishkin, F. S. (1995). Symposium on the monetary transmission mechanism. The Journal of Economic Perspectives, 9(4), 3-10.
  • Munir, K. (2018). Dynamic effects of monetary policy on output and prices in Pakistan: A Disaggregate Analysis. Journal of the Asia Pacific Economy, 23(1), 99-118.
  • Munir, K., & Qayyum, A. (2014). Measuring the effects of monetary policy in Pakistan: A factor augmented vector autoregressive approach. Empirical Economics, 46(3), 843-864.
  • Roosa, R. V. (1951). Interest rates and the Central Bank. In: H. G. Johnson, (Ed.), Money, trade, and economic growth: Essays in honor of John Henry Williams (pp. 270-295). Macmillan.
  • SBP. (2002). Pakistan: Financial sector assessment 1990-2000. State Bank of Pakistan.
  • Senbet, D. (2008). Measuring the impact and international transmission of monetary policy: A factor-augmented vector autoregressive (FAVAR) approach. European Journal of Economics, Finance and Administrative Sciences, 13, 121-143.
  • Shibamoto, M. (2007). An analysis of monetary policy shocks In Japan: A factor augmented vector autoregressive approach. The Japanese Economic Review, 58(4), 484-503.
  • Sims, C. A. (1980). Macroeconomics and reality. Econometrica, 48(1), 1-48.
  • Sims, C. A. (1992). Interpreting the macroeconomic time series facts: The effects of monetary policy. European Economic Review, 36(5), 975-1000.
  • Soares, R. (2011). Assessing monetary policy in the Euro area: a Factor-Augmented VAR Approach (Banco de Portugal Working Paper No. 11), Lisbon: Banco de Portugal.
  • Stock, J. H., & Watson, M. W. (2002). Macroeconomic forecasting using diffusion indexes. Journal of Business & Economic Statistics, 20(2), 147-162.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171594019

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.