Threshold effects in panel data stochastic frontier models of dairy production in Canada

One of the most enduring problems in econometrics is how to properly account for heterogeneity among firms. Threshold regression models are intuitively appealing methods to deal with this issue. We consider a fixed-effect panel data stochastic frontier model (Schmidt and Sickles, 1984; Martin-Marcos and Suarez-Galvez, 2000) and, relying on Hansen (1999, 2000a), we propose an estimator that accommodates multiple thresholds. Our model assumes absence of any unmeasured time invariant heterogeneity across firms as in Greene (2005, p. 277). Slope and threshold parameters can be estimated using a within estimator combined with a grid search over the threshold parameters. Testing for threshold effects is problematic because threshold parameters are not identified under the null hypothesis, a case of the so-called Davies' problem. We apply the bootstrap procedure proposed by Hansen (1999, 2000a) to test for the presence of thresholds. An asymptotic confidence set for the threshold parameter can be obtained by inverting an LR test, using the distribution result presented in Hansen (1999, 2000a). Our empirical application features a panel of Quebec dairy farms. We use farm size as the threshold variable. The presence of a trend in the specification matters for the determination of the number of thresholds. Technical efficiency scores and rankings of farms estimated from competing model specifications are highly correlated and do not vary significantly across groups of farm sizes defined by the threshold parameter values.     

Performance of private higher education institutions in Vietnam: evidence using DEA-based bootstrap directional distance approach with quasi-fixed inputs

Vietnam’s higher education has witnessed substantial improvements since the implementation of the Doi Moi (renovation) policy. One of the significant developments is the promotion of establishment and enhancement of the role of private institutions in national education systems. However, the quest to improve the overall performance of the private higher education institutions remains a big challenge for many stakeholders. We assess the performance of Vietnamese private universities using a data envelopment analysis–based bootstrap directional distance approach with quasi-fixed inputs. The results show that there was a large variation in the efficiency levels of private universities within and between academic years and between metropolitan and other private universities. Our empirical findings provide more insights for educational leaders and policy makers on the performance of private higher education institutions and the implications of privatization of the national higher education system.     

Predicting technical effciency in stochastic production frontier models in the presence of misspecification: a Monte-Carlo analysis

This paper provides a theoretical explanation for the sensitivity of technical efficiency measures to the choice of functional specification in stochastic production frontier models. It is shown that inappropriate functional specifications translate into a misspecification in the conditional mean of the stochastic frontier regression model. This misspecification, in turn, results in estimates of technical efficiency, confidence intervals and production elasticities being biased, even asymptotically. Monte-Carlo simulations reveal that the severity of the bias depends on the functional specification and the percentage contribution of the variance of technical inefficiency to the total variance of the composed errors.     

Fostering creative minds: what predicts and boosts design competence in the classroom?

International Journal of Technology and Design Education - Can originality in real-world creative design thinking be improved through instruction and practice? Do such frequently-used...     

Poverty and Inequality Maps in Rural Vietnam: An Application of Small Area Estimation

The objective of the present paper is to estimate poverty and inequality for rural Vietnam at different levels of aggregation by combining the Vietnam Household Living Standard Survey from 2006 and the Rural Agriculture and Fishery Census from the same year. Using the small area estimation method, estimates at the regional, provincial and district level are produced, and both expenditure and income based measures are considered. It is found that all provinces across the country have experienced a noticeable reduction in rural poverty during the period 1999–2006. Some of the largest reductions in poverty are observed for provinces with poverty rates close to the national average. The poorest provinces are experiencing reductions in poverty, albeit at a more modest pace. Provinces and districts with a larger poverty reduction in the period 1999–2006 tended to have a lower level of inequality in 2006. Results based on expenditure poverty estimates are found to be very similar to those based on income poverty estimates.     

Social media,political uncertainty,and stock markets

Review of Quantitative Finance and Accounting - This study proposes a new measure of firm-level uncertainty exposure around important political events. More specifically, we construct a degree of...     

ACTIVITY STRATEGIES,AGENCY PROBLEMS,AND BANK RISK

We investigate whether diversification affects bank risk taking in the U.S. banking industry, and whether this relation is partially explained by agency theory. Our results show that U.S. banks with a relatively high share of noninterest income become riskier when moving toward non-interest-income-generating activities, especially activities from investment banking, proprietary trading, and so on. Diversification not only affects conditional average risk, but also the dispersion of risk. Moreover, diversified banks that received assistance from the Troubled Asset Relief Program (TARP) become riskier than diversified nonrecipients after TARP capital injections. Our main findings are robust to a battery of robustness tests. The results are partially explained under agency frameworks related to poor corporate governance.