16 research outputs found

    Bank-Lending Channel in South Africa: Bank-Level Dynamic Panel Date Analysis

    Get PDF
    The paper investigates the bank-lending channel (BLC) of monetary policy in South Africa using quarterly bank-level data for the period 2000Q1-2004Q4. Capital adequacy and bank size are used as indicators for information problems faced by banks when they look for external finance. Utilising dynamic panel estimation methods the study shows that BLC operates in South Africa. The finding has some policy implications. First, there is need to coordinate monetary policy with financial innovations and prudential banking regulations. Second, the overall effects of monetary policy pursued by the South African Reserve Bank cannot be completely characterised by interest rates only.Monetary policy transmission, Bank-lending channel, Dynamic panel, GMM estimator

    A BVAR MODEL FOR THE SOUTH AFRICAN ECONOMY

    No full text
    The paper develops a Bayesian vector autoregressive (BVAR) model of the South African economy for the period of 1970:1-2000:4 and forecasts GDP, consumption, investment, short-term and long term interest rates, and the CPI. We find that a tight prior produces relatively more accurate forecasts than a loose one. The out-of-sample-forecast accuracy resulting from the BVAR model is compared with the same generated from the univariate and unrestricted VAR models. The BVAR model is found to produce the most accurate out of sample forecasts. The same is also capable of correctly predicting the direction of change in the chosen macroeconomic indicators. Copyright (c) 2006 The Authors. Journal compilation (c) 2006 Economic Society of South Africa.

    What explains China's rising trade in services?: Empirical analysis with a modified gravity model and panel data

    No full text
    From 1982 to 2009, China's exports, imports, and foreign direct investment in services have seen incredibly rapid growth. A high proportion of its trade in services is intra-industry trade, but China has no comparative advantage in most service sectors. What, then, drives the growth of trade in services? Does the law of comparative advantage still work? This article considers the features of traded services and derives a modified gravity model based on a theoretical foundation. Using a database of the bilateral trade in services between China and its main trading partners in the modified gravity model, we find that the law of comparative advantage does apply to China's services trade. China has comparative advantages in relatively low-end service tasks, which are less productive, use relatively low-skilled labor, and are less knowledge- and capital-intensive. Liberalization of trade in services, trade in goods, and China's large home market drive the growth and lead to a high level of intra-industry trade in services.Yihong Tang, Yan Zhang, and Christopher Findla
    corecore