New evidence about regional income divergence in China

There are many empirical studies trying to test if there is income convergence across the provinces of China. In this paper, we bring new information to the current literature by applying non-linear panel unit root test of Exponential Smooth Auto-Regressive Augmented Dickey-Fuller (ESTAR-ADF) unit root test developed by Cerrato et al. (2008) to the time series data for the period 1952–2003. The number of converging provinces decreases in the post-reform period when using panel ESTAR-ADF test. Furthermore, our results find evidence of increasing regional disparity that has been prevailing in China since the open door economic reforms of the late 1970s, which confirms the view of Pedroni and Yao (2006) that interprovincial inequalities have been widening since 1978.In addition, we also examine the determinants of conditional convergence in China. The results indicate that low inflation, transport and telecommunication infrastructure, and trade openness could stimulate economic growth in China. Human capital also play a significant role in growth, and it exhibits non-linearity between human capital and growth in the sense that at low levels of human capital the effect on growth is negative and became positive at middle levels.     

Robustness and Pricing with Uncertain Growth

We study how decision-makers' concerns about robustness affectprices and quantities in a stochastic growth model. In the modeleconomy, growth rates in technology are altered by infrequentlarge shocks and continuous small shocks. An investor observesmovements in the technology level but cannot perfectly distinguishtheir sources. Instead the investor solves a signal extractionproblem. We depart from most of the macroeconomics and financeliterature by presuming that the investor treats the specificationof technology evolution as an approximation. To promote a decisionrule that is robust to model misspecification, an investor actsas if a malevolent player threatens to perturb the actual data-generatingprocess relative to his approximating model. We study how aconcern about robustness alters asset prices. We show that thedynamic evolution of the risk-return trade-off is dominatedby movements in the growth-state probabilities and that theevolution of the dividend-price ratio is driven primarily bythe capital-technology ratio.     

99 Luftballons: Monetary policy and the house price boom across U.S. states

We use a dynamic factor model estimated on quarterly state-level data from 1986 to 2005 via Bayesian methods to disentangle the relative importance of the common component in OFHEO house price movements from local (state- or region-specific) shocks. We find that historically movements in house prices were mainly driven by the local component. The recent period (2001-2005) has been different: the increase in house prices is a national phenomenon. We use a VAR to investigate the extent to which expansionary monetary policy is responsible for this phenomenon. We find the impact of policy shocks on house prices to be small in comparison with the magnitude of recent fluctuations.     

Reputational cheap talk

We analyze information reporting by a privately informed expert concerned about being perceived to have accurate information. When the expert's reputation is updated on the basis of the report as well as the realized state, the expert typically does not wish to truthfully reveal the signal observed. The incentives to deviate from truth telling are characterized and shown to depend on the information structure. In equilibrium, experts can credibly communicate only part of their information. Our results also hold when experts have private information about their own accuracy and care about their reputation relative to others.     

Incorporating biometric data in models of consumer choice

The use of neuro-physiological data in models of consumer choice is gaining popularity. This article presents some of the benefits of using psycho-physiological data in analyzing consumer valuation and choice. Eye-tracking, facial expressions, and electroencephalography (EEG) data were used to construct three non-conventional choice models, namely, eye-tracking, emotion and brain model. The predictive performance of the non-conventional models was compared to a baseline model, which was based entirely on conventional data. While the emotion and brain models proved to be as good as conventional data in explaining and predicting consumer choice, the eye-tracking model generated superior predictions. Moreover, we document a significant increase in predictive power when biometric data from different sources were combined into a mixed model. Finally, we utilize a machine learning technique to sparse the data and enhance out-of-sample prediction, thus showcasing the compatibility of biometric data with well-established statistical and econometric methods.     

Large newsvendor games

We consider a game, called newsvendor game, where several retailers, who face a random demand, can pool their resources and build a centralized inventory that stocks a single item on their behalf. Profits have to be allocated in a way that is advantageous to all the retailers. A game in characteristic form is obtained by assigning to each coalition its optimal expected profit. We consider newsvendor games with possibly an infinite number of newsvendors. We prove in great generality results about balancedness of the game, and we show that in a game with a continuum of players, under a nonatomic condition on the demand, the core is a singleton. For a particular class of demands we show how the core shrinks to a singleton when the number of players increases.     

What kind of preference maximization does the weak axiom of revealed preference characterize?

A (multivalued) choice is justified if no two chosen alternatives are preferred to each other, and if all chosen alternatives are preferred to all rejected alternatives. This concept permits a connection between the behavioral property expressed by WARP and a weak form of preference maximization. I am grateful to Michele Lombardi, Michael Mandler, Paola Manzini and an anonymous referee for useful discussions and comments.     

Technology shocks, structural breaks and the effects on the business cycle

It is shown that time-series of US productivity and hours are apparently affected by a structural break in the late 60s. Moreover, the importance of technology shocks over the business cycle has sharply decreased after the break.     

Smoke in the (Tariff) Water

As the economic crisis deepened and widened, fears of a return to the protectionist spiral of the 1930s become more common. However, an important difference between the 1930s and today is the existence of the World Trade Organization and the legal limits it imposes on the protectionist responses members can pursue. The first objective of this paper is to assess the extent to which applied tariffs can be legally raised without violating bound tariff obligations and compare it with what is economically feasible. The second objective is the examination of whether individual countries have taken advantage of these legal tariff hikes as protectionist responses during economic crises, after the creation of the WTO. Results suggest that the policy space left when looking at what is economically possible is indeed quite large. However, in the recent past little of the available policy space has been used by countries suffering from an economic crisis.