Bayesian Inference in Spatial Sample Selection Models

In this study, we consider Bayesian methods for the estimation of a sample selection model with spatially correlated disturbance terms. We design a set of Markov chain Monte Carlo algorithms based on the method of data augmentation. The natural parameterization for the covariance structure of our model involves an unidentified parameter that complicates posterior analysis. The unidentified parameter – the variance of the disturbance term in the selection equation – is handled in different ways in these algorithms to achieve identification for other parameters. The Bayesian estimator based on these algorithms can account for the selection bias and the full covariance structure implied by the spatial correlation. We illustrate the implementation of these algorithms through a simulation study and an empirical application.     

Heteroskedasticity-consistent covariance matrix estimators for spatial autoregressive models

In the presence of heteroskedasticity, conventional test statistics based on the ordinary least squares (OLS) estimator lead to incorrect inference results for the linear regression model. Given that heteroskedasticity is common in cross-sectional data, the test statistics based on various forms of heteroskedasticity-consistent covariance matrices (HCCMs) have been developed in the literature. In contrast to the standard linear regression model, heteroskedasticity is a more serious problem for spatial econometric models, generally causing inconsistent extremum estimators of model coefficients. This paper investigates the finite sample properties of the heteroskedasticity-robust generalized method of moments estimator (RGMME) for a spatial econometric model with an unknown form of heteroskedasticity. In particular, it develops various HCCM-type corrections to improve the finite sample properties of the RGMME and the conventional Wald test. The Monte Carlo results indicate that the HCCM-type corrections can produce more accurate results for inference on model parameters and the impact effects estimates in small samples.     

基于破坏性创新的中国轿车企业发展战略研究

破坏性创新作为一种新的战略管理和创新管理理论,为新进企业发挥后发优势,有效攻击和侵入在位企业市场从而颠覆在位者提供了一种新的发展思路。中国轿车企业作为汽车市场的新进入者,应当积极实施破坏性创新战略,并通过市场需求分析、技术研发和资源整合等方式不断提高自身的破坏能力,从而获取更多的市场竞争优势和战略利益。     

The impact of rural roads and irrigation on household welfare: evidence from Vietnam

We measure the impact of road and irrigation projects on the livelihoods of households in the poorest and most remote areas of Vietnam using difference-in-difference estimators. We find that both rural road and irrigation projects help local households improve the access to safe water and welfare measured by a wealth index. The impact of irrigation projects is found to be larger than the impact of road projects. We also find heterogeneous impacts of road and irrigation projects. Households with higher levels of education tend to benefit more from road projects, while households with lower levels of education are likely to benefit more from irrigation projects.     

The influence of internet customer reviews on the online sales and prices in hotel industry

In this paper, the impact of two service quality metrics (star rating and customer rating) on hotel room sales and prices is investigated. Two of the most popular tourist destinations in the world, Paris and London, are chosen. It is found that a higher customer rating significantly increases the online sales of hotels. The study results show that a 1% increase in online customer rating increases Sales per Room up to 2.68% in Paris and up to 2.62% in London. Contrary to expectations, higher stars do not increase the sales. It is also shown that higher customer ratings result in higher prices of the hotel and the prices of high star hotels are more sensitive to online customer ratings.     

Optimal monetary policy regime for oil producing developing economies: Implications for post-war Iraq

This paper theoretically investigates optimal monetary policy regime for oil producing developing countries. We analyze credibility and reputation of the Central Bank and macroeconomic dynamics under alternative monetary policy regimes. We construct a detailed and realistic model that can be used to analyze macroecomic structure and expectation dynamics of an oil producing open economy. We take into account the asymmetric information between the public and the central bank and theoretically investigate how this asymmetric information impacts the real economy and the credibility of the central bank. The simulation results indicate that central bank achieves higher credibility and lower inflation under dollarization and higher output levels under currency board regime. The model constructed in this paper has many policy implications for oil producing open economies. Using the implications of the model, we make monetary policy regime recommendations for post-war Iraq.     

Volatility Spillover Effects in Interregional Equity Markets: Empirical Evidence from Brazil and Turkey

We investigate volatility spillovers between two stock markets: Turkey and Brazil. Using a misspecification-robust causality-in-variance test, we find evidence supporting volatility spillovers from the São Paulo Stock Exchange to the Istanbul Stock Exchange. Moreover, the results imply that financial crises may change the nature of volatility spillovers between the two markets by adding an additional channel of volatility transmission from Turkey to Brazil.     

Inflation Targeting and Inflation Uncertainty

This article empirically investigates the impact of inflation targeting on inflation uncertainty. We implement PARCH and GARCH methodologies to model conditional variance of inflation. We also investigate the relationship between level and volatility of inflation to analyze the validity of the Friedman hypothesis for IT countries. We find that most of the inflation targeting countries have significantly lower inflation variances after inflation targeting. In most of the IT countries, the relationship is consistent with the Friedman hypothesis.     

Boardroom Diversity and its Effect on Social Performance: Conceptualization and Empirical Evidence

In this paper, we seek to answer two questions: (1) what does boardroom diversity stand for in the strategic management literature? And, (2) is there a significant relationship between boardroom diversity and corporate social performance. We first clarify the boardroom diversity concept, distinguishing between a structural diversity of boards and a demographic diversity in boards, and then we investigate its possible linkage to social performance in a sample of S&P500 firms. We find a significant relationship between diversity in boards and social performance. This relationship is moderated by diversity of boards. Our results also reveal the effects of the specific variables that make up the diversity of boards and diversity in boards constructs. In particular, gender, and age have a significant effect on corporate social performance. Some important measurement issues are raised and discussed.