The International Effects of China’s Growth,Trade and Education Booms

China’s international trade flows have increased by 500 per cent since 1992, far outstripping GDP growth. Likewise tertiary education enrolments have increased by 300 per cent. We simulate these changes using a multi‐sector growth model of the Chinese and USA economies. A decade of trade biased growth in China is found to raise USA GDP by approximately 3–4.5 percentage points and has a large impact on the demand for tertiary education in China. Despite these positive effects of growth, the results suggest that the expansion of China’s education sector per se has practically no long‐run impact on the USA economy.     

Long-run growth in the OECD: A test of the parallel growth paths hypothesis

A prediction of a class of neoclassical growth models is that countries with similar levels of integration in the world economy will have parallel long-run growth paths. We test this hypothesis for the OECD, using estimates of long-run mean growth rates of per capita output for each country for the period 1870–2005. The results show strong evidence for unconditional β-convergence only in the post-WWII period of 1951–1974. The results serve as a caution against drawing inferences regarding long-run growth patterns from this sample of countries when the time frame includes the post-WWII golden-age period.     

The small sample properties of several limited information estimators in interdependent structures with scalar and vector autoregressive errors

This study is concerned with an examination of the finite sample behaviour of several limited information estimators in interdependent structures with error terms related over time and in certain specifications across equations. The Monte Carlo or simulation approach is adopted and applied to computationally manageable structures containing lagged dependent variables. The analysis of the Monte Carlo experiments is formulated in terms of estimating response functions, the dependent variables of which are the first two moments of target model estimators. In addition to the impact of simultaneity, autocorrelation and lagged dependent variables on the estimators, evidence is also accumulated on the small sample effects of misspecification in terms of the faulty inclusion and deletion of regressors. The results of the experiments revealed the substantial impact which autocorrelation can have on ordinary least squares (OLS) and two-stage least squares (2SLS) in terms of efficiency loss. Averaging over all the coefficients in the models, estimators which take account of both autocorrelation and simultaneity had a relative efficiency factor of about 1.5 to 1.9. Many of the parameters in the Monte Carlo model (including misspecification errors, multicollinearity) had qualitatively the same effect on bias and dispersion properties of the estimators.     

A QUEST FOR UNFETTERED CREDIT: HOW MONETARY POLICY DRIVES CREDIT RISK TRANSFER OF STRUCTURED FINANCE PRODUCTS

This study examines the effects of monetary policy contractions on bank loans to households and firms and instruments in three different credit risk transfer (CRT) capital markets over two separate time periods (1995–2006 and 2007–2015). The findings show that in both periods, banks decrease business lending but increase lending to consumers through a combination of mortgage, auto, credit card, and student loans from more liquidity produced by consumer‐related CRT activity. Additional results reveal relative CRT movements toward securitized mortgages from bank mortgage debt over both periods and toward securitized and insured business loans from bank business debt in the latter period, which suggest vulnerabilities among interconnected credit markets. (JEL E44, E51, G21, G23)