THE WELFARE GAINS OF FINANCIAL LIBERALIZATION: CAPITAL ACCUMULATION AND HETEROGENEITY

Research has shown that, absent individual heterogeneity and under complete markets, the welfare impact of financial openness is quantitatively limited. Not only are inequalities in wealth and labor productivity a feature of most societies, but also financial markets suffer from many well‐known frictions. This paper demonstrates that, when households face borrowing constraints and uninsurable idiosyncratic shocks to income, the welfare implications of financial liberalization are considerable. For instance, the average increase in welfare of a typical emerging market economy that switches from a closed capital market to perfect capital mobility is equivalent to a permanent increase in average consumption of roughly 5.4%. This is about 3.9 times more than the welfare gains of the same policy under a complete markets environment without any individual heterogeneity. We show that individual heterogeneity accounts for two thirds of this additional increase in the average welfare gain; market incompleteness accounts for the remaining third. In our calibration, the median household in capital‐scarce countries is in favor of international financial integration. However, if the pivotal voter is wealthy enough then such reform might not be implemented, since richer households have a vested interest in capital market closedness.     

CHANGES IN CHINA'S WAGE STRUCTURE

Using a national sample of Urban Household Surveys, we document several profound changes in China's wage structure during a period of rapid economic growth. Between 1992 and 2007, the average real wage increased by 202%, accompanied by a sharp rise in wage inequality. Decomposition analysis reveals 80% of this wage growth to be attributable to higher pay for basic labor, rising returns to human capital, and increases in the state‐sector wage premium. By employing an aggregate production function framework, we account for the sources of wage growth and wage inequality amid fast economic growth and transition. We find capital accumulation, skill‐biased technological change, and rural–urban migration to be the major forces behind the evolving wage structure in urban China.     

Social pressure in the stadiums: Do agents change behavior without crowd support?

Social pressure may have relevant consequences in many contexts but it is hard to evaluate it empirically. In this paper we exploit a natural experiment in soccer to provide clear evidence of its effects. We aim to study how social pressure from the crowd in a stadium affects both players and referees. While in normal matches crowd support may be correlated to a host of variables affecting the outcome of interest, we exploit the fact that after the health emergency for the Covid-19 pandemic in 2020, soccer matches in top European Leagues have been allowed only behind closed doors, that is, without spectators in the stadiums. We use data of first and second division of five major European Leagues (Germany, Spain, England, Italy and Portugal) for the last 10 seasons and compare – using a differences-in-differences analysis – several outcomes (determined by players’ performance and referees’ decisions) of matches played with crowd support to the same outcomes when matches were played without crowd. We find considerable effects of the pressure from the crowd: while with the support of the crowd a considerable home advantage emerges in various measures of performance (points, goals, shots, etc.), this advantage is almost halved when matches are played behind closed doors. Similar effects are found for the behavior of referees: decisions of fouls, yellow cards, red cards and penalties that tend to favor home teams in normal matches, are much more balanced without the crowd pressing on referees. The evidence we provide strongly supports the idea that social pressure has intense effects on agents’ behavior.     

CONVERGENCE: AN EXPERIMENTAL STUDY OF TEACHING AND LEARNING IN REPEATED GAMES

Nash equilibrium can be interpreted as a steady state where players hold correct beliefs about the other players’ behavior and act rationally. We experimentally examine the process that leads to this steady state. Our results indicate that some players emerge as teachers—those subjects who, by their actions, try to influence the beliefs of their opponent and lead the way to a more favorable outcome—and that the presence of teachers appears to facilitate convergence to Nash equilibrium. In addition to our experiments, we examine games, with different properties, from other experiments and show that teaching plays an important role in these games. We also report results from treatments in which teaching is made more difficult. In these treatments, convergence rates go down and any convergence that does occur is delayed.     

包含逆向物流的供应链库存控制问题研究

逆向物流的参与使得供应链库存管理问题更加复杂，为了切合物流运作的实际，本文在介绍逆向物流库存控制的最新理论——收集商管理库存（CMI）的基础上，引入逆向物流产品回收率a和修复率b两参数，建立了逆向物流产品到达服从泊松分布，产品修复周期为L的连续库存控制模型。经求解，模型的订货周期T和订货批量Q与修复周期L无关，是关于回收率a和修复率b的减函数且都较经典EOQ模型的订货周期和订货批量小。     

Factor stochastic volatility with time varying loadings and Markov switching regimes

We generalize the factor stochastic volatility (FSV) model of Pitt and Shephard [1999. Time varying covariances: a factor stochastic volatility approach (with discussion). In: Bernardo, J.M., Berger, J.O., Dawid, A.P., Smith, A.F.M. (Eds.), Bayesian Statistics, vol. 6, Oxford University Press, London, pp. 547–570.] and Aguilar and West [2000. Bayesian dynamic factor models and variance matrix discounting for portfolio allocation. J. Business Econom. Statist. 18, 338–357.] in two important directions. First, we make the FSV model more flexible and able to capture more general time-varying variance–covariance structures by letting the matrix of factor loadings to be time dependent. Secondly, we entertain FSV models with jumps in the common factors volatilities through So, Lam and Li's [1998. A stochastic volatility model with Markov switching. J. Business Econom. Statist. 16, 244–253.] Markov switching stochastic volatility model. Novel Markov Chain Monte Carlo algorithms are derived for both classes of models. We apply our methodology to two illustrative situations: daily exchange rate returns [Aguilar, O., West, M., 2000. Bayesian dynamic factor models and variance matrix discounting for portfolio allocation. J. Business Econom. Statist. 18, 338–357.] and Latin American stock returns [Lopes, H.F., Migon, H.S., 2002. Comovements and contagion in emergent markets: stock indexes volatilities. In: Gatsonis, C., Kass, R.E., Carriquiry, A.L., Gelman, A., Verdinelli, I. Pauler, D., Higdon, D. (Eds.), Case Studies in Bayesian Statistics, vol. 6, pp. 287–302].     

A minimum asymptotic mean squared error controller for an IMA(1,1) noise process with a starting offset, and its resetting design

In a discrete-part manufacturing process, the noise is often described by an IMA(1,1) process and the pure unit delay transfer function is used as the feedback controller to adjust it. The optimal controller for this process is the well-known minimum mean square error (MMSE) controller. The starting level of the IMA(1,1) model is assumed to be on target when it starts. Considering such an impractical assumption, we adopt the starting offset. Since the starting offset is not observable, the MMSE controller does not exist. An alternative to the MMSE controller is the minimum asymptotic mean square error controller, which makes the long-run mean square error minimum.Another concern in this article is the un-stability of the controller, which may produce high adjustment costs and/or may exceed the physical bounds of the process adjustment. These practical barriers will prevent the controller to adjust the process properly. To avoid this dilemma, a resetting design is proposed. That is, the resetting procedure in use of the controller is to adjust the process according to the controller when it remains within the reset limit, and to reset the process, otherwise.The total cost for the manufacturing process is affected by the off-target cost, the adjustment cost, and the reset cost. Proper values for the reset limit are selected to minimize the average cost per reset interval (ACR) considering various process parameters and cost parameters. A time non-homogeneous Markov chain approach is used for calculating the ACR. The effect of adopting the starting offset is also studied here.     

物流与经济发展关系研究

本文基于MF理论,提出物流与经济发展之间的两种关系：一是物流投入量和经济产出量之间的关系,物流经济效率（或叫物流经济效果系数）和物流投入系数（或叫物流消费系数）是其重要衡量指标;二是物流投入量增长速度和经济产出量增长速度之间的关系,物流投入弹性系数是其重要衡量指标。同时提出了上述三个指标之间的数学关系,并进行了实证分析,揭示了物流经济效率、物流投入系数和物流投入弹性系数的发展变化规律。     

Objective Bayesian analysis of spatial data with uncertain nugget and range parameters

The authors develop default priors for the Gaussian random field model that includes a nugget parameter accounting for the effects of microscale variations and measurement errors. They present the independence Jeffreys prior, the Jeffreys‐rule prior and a reference prior and study posterior propriety of these and related priors. They show that the uniform prior for the correlation parameters yields an improper posterior. In case of known regression and variance parameters, they derive the Jeffreys prior for the correlation parameters. They prove posterior propriety and obtain that the predictive distributions at ungauged locations have finite variance. Moreover, they show that the proposed priors have good frequentist properties, except for those based on the marginal Jeffreys‐rule prior for the correlation parameters, and illustrate their approach by analyzing a dataset of zinc concentrations along the river Meuse. The Canadian Journal of Statistics 40: 304–327; 2012 © 2012 Statistical Society of Canada     

Effect of financial development on economic growth in sub-Saharan Africa

This paper examines the overall economic growth effect when the growth in finance and real sector is disproportionate relying on panel data for 29 sub-Saharan African countries over the period 1980–2014. Results from the system generalized methods of moments (GMM) reveal that, while financial development supports economic growth, the extent to which finance helps growth depends crucially on the simultaneous growth of real and financial sectors. The elasticity of growth to changes in either size of the real or financial sector is higher under balanced sectoral growth. We also show that rapid and unbridled credit growth comes at a huge cost to economic growth with consequences stemming from financing of risky and unsustainable investments coupled with superfluous consumption fueling inflation. However, the pass-through excess finance–economic growth effect via the investment channel is stronger.