RISS 학술연구정보서비스

검색

인기 검색어

    다국어 입력

    http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

    변환된 중국어를 복사하여 사용하시면 됩니다.

    예시)
    • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
    • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
    닫기

    Financial dollarization and business cycle uncertainty : evidence from the Democratic Republic of the Congo

    한글로보기

    https://www.riss.kr/link?id=T15808771

    • 0

      상세조회
    • 0

      다운로드
    서지정보 열기
    • 내보내기
    • 내책장담기
    • 공유하기
    • 오류접수

    부가정보

    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This thesis estimates the stochastic relationship between financial dollarization and business cycle uncertainty using quantile regression technique over the period 2000 to 2015. We do not find strong evidence of a significant effect of business cycle uncertainty on financial dollarization in the Democratic Republic of the Congo. Inflation negatively affects dollarization from lower quantiles to higher quantiles. However, the effect is statistically insignificant. The oil price index has a positive influence on dollarization but the effect is statistically insignificant as well. Other control variables have no significant effect on dollarization (net exports, investment and government consumption). We attribute dollarization hysteresis in DRC to a memory effect in economic agent’s mind: lack of trust in monetary authorities due to past hyperinflation and macroeconomic instability back in the 1990s and the early 2000s. We also attribute dollarization inertia to positive network externalities. Constant exchange rate depreciation is another cause of dollarization hysteresis. On top of all, political instability in DR Congo is a serious cause of dollarization inertia. We recommend a sustainable dedollarization process in DRC.
    번역하기

    This thesis estimates the stochastic relationship between financial dollarization and business cycle uncertainty using quantile regression technique over the period 2000 to 2015. We do not find strong evidence of a significant effect of business cycle...

    This thesis estimates the stochastic relationship between financial dollarization and business cycle uncertainty using quantile regression technique over the period 2000 to 2015. We do not find strong evidence of a significant effect of business cycle uncertainty on financial dollarization in the Democratic Republic of the Congo. Inflation negatively affects dollarization from lower quantiles to higher quantiles. However, the effect is statistically insignificant. The oil price index has a positive influence on dollarization but the effect is statistically insignificant as well. Other control variables have no significant effect on dollarization (net exports, investment and government consumption). We attribute dollarization hysteresis in DRC to a memory effect in economic agent’s mind: lack of trust in monetary authorities due to past hyperinflation and macroeconomic instability back in the 1990s and the early 2000s. We also attribute dollarization inertia to positive network externalities. Constant exchange rate depreciation is another cause of dollarization hysteresis. On top of all, political instability in DR Congo is a serious cause of dollarization inertia. We recommend a sustainable dedollarization process in DRC.

    더보기

    목차 (Table of Contents)

    • Acknowledgements................................................................................................................................ 1
    • List of tables........................................................................................................................................... 3
    • List of figures ......................................................................................................................................... 3
    • 1. Introduction ................................................................................................................................... 4
    • 2. Literature review........................................................................................................................... 8
    • Acknowledgements................................................................................................................................ 1
    • List of tables........................................................................................................................................... 3
    • List of figures ......................................................................................................................................... 3
    • 1. Introduction ................................................................................................................................... 4
    • 2. Literature review........................................................................................................................... 8
    • 2.1. Overview..................................................................................................................................... 8
    • 2.2. Empirical literature review .................................................................................................... 18
    • 3. Data and sample .......................................................................................................................... 20
    • 3.1. Sample ...................................................................................................................................... 20
    • 3.2. Descriptive analysis ................................................................................................................. 21
    • 4. Methodology................................................................................................................................. 24
    • 5. Findings ........................................................................................................................................ 27
    • 6. Conclusion and policy implications ........................................................................................... 32
    • Appendix .............................................................................................................................................. 35
    • References ............................................................................................................................................ 3
    더보기

    분석정보

    View

    상세정보조회

    0

    Usage

    원문다운로드

    0

    대출신청

    0

    복사신청

    0

    EDDS신청

    0

    동일 주제 내 활용도 TOP

    더보기

    주제

    연도별 연구동향

    연도별 활용동향

    연관논문

    연구자 네트워크맵

    공동연구자 (7)

    유사연구자 (20) 활용도상위20명

    이 자료와 함께 이용한 RISS 자료

    나만을 위한 추천자료

    해외이동버튼