MODELLING PRODUCTIVITY EFFECTS OF TRADE OPENNESS: A DUAL APPROACH*

A cost function framework is used to model the productivity effect of trade openness in terms of cost saving. The idea of ‘cost saving’ is closer to the entrepreneur's view of productivity. An entrepreneur would expect a reduction in the cost of production if trade openness brings any benefits to their firm. The output‐enhancing (primal) productivity effect of openness is obtainable from the cost‐saving (dual) productivity effect through the cost‐output link. The cost‐function framework also enables us to investigate whether trade openness induces firms to adopt a technology that is biased towards the use or saving of any factor of production. An empirical exercise based on time series data for the Australian two‐digit manufacturing industries reveals significant cost‐saving and output‐enhancing productivity effects of trade openness. Trade openness is biased towards the saving of labour and the use of capital. These results are quite insensitive to the choice of alternative measures of openness.     

Trust, Inequality and Ethnic Heterogeneity

Using a large Australian social survey, combined with precise data on neighbourhood characteristics, I explore the factors that affect trust at a local level ('localised trust') and at a national level ('generalised trust'). Trust is positively associated with the respondent's education, and negatively associated with the amount of time spent commuting. At a neighbourhood level, trust is higher in affluent areas, and lower in ethnically and linguistically heterogeneous communities, with the effect being stronger for linguistic heterogeneity than ethnic heterogeneity. Linguistic heterogeneity reduces localised trust for both natives and immigrants, and reduces generalised trust only for immigrants. Instrumental variables specifications show similar results. In contrast to the USA, there is no apparent relationship between trust and inequality across neighbourhoods in Australia.     

INTERGENERATIONAL INCOME MOBILITY IN URBAN CHINA

This paper estimates the intergenerational income elasticity for urban China, paying careful attention to the potential biases induced by income fluctuations and life cycle effects. Our preferred estimate indicates that the intergenerational income elasticity for father–son is 0.63. This suggests that while China has experienced rapid growth of absolute incomes, the relative position of children in the distribution is largely related to their parents' incomes. By investigating possible causal channels, we find that parental education plays one of the most important roles in transmitting economic status from parents to children.     

Output Gaps In Real Time: How Reliable Are They?

The output gap is of central interest to policymakers. Being unobservable, however, its estimation is prone to error, particularly in real time. Errors result from revisions to the data and unavoidable end-point problems associated with the econometric techniques used to estimate it.
This is the first study of the seriousness of these problems for Australia. Over a 28-year period, we obtain real-time output-gap estimates which are unbiased and highly correlated with final estimates derived with the latest data and the benefit of hindsight. We conclude that reasonably reliable output gap estimates can be obtained in real time.     

The underground economy and its macroeconomic consequences

This study develops a dynamic general equilibrium model in which optimizing agents evade taxes by operating in the underground economy. The cost to firms of evading taxes is that they find themselves subject to credit rationing from banks. Our model simulations show that in the absence of budgetary flexibility to adjust expenditures, raising tax rates too high drives firms into the underground economy, thereby reducing the tax base. Aggregate investment in the economy is lowered because of credit rationing. Taxes that are too low eliminate the underground economy, but result in unsustainable budget and trade deficits. Thus, the optimal rate of taxation, from a macroeconomic point of view, may lead to some underground activity.     

Model Comparison with Transaction Costs

Failing to account for transaction costs materially impacts inferences drawn when evaluating asset pricing models, biasing tests in favor of those employing high-cost factors. Ignoring transaction costs, Hou, Xue, and Zhang (2015, Review of Financial Studies, 28, 650–705) q-factor model and Barillas and Shanken (2018, The Journal of Finance, 73, 715–754) six-factor models have high maximum squared Sharpe ratios and small alphas across 205 anomalies. They do not, however, come close to spanning the achievable mean-variance efficient frontier. Accounting for transaction costs, the Fama and French (2015, Journal of Financial Economics, 116, 1–22; 2018, Journal of Financial Economics, 128, 234–252) five-factor model has a significantly higher squared Sharpe ratio than either of these alternative models, while variations employing cash profitability perform better still.