Trade liberalization and wage inequality: Evidence from Korea

This paper investigates the heterogeneous income distribution effects of trade liberalization using Korean survey data from years of 2000–2015. Following the Stolper-Samuelson theorem most of previous research studying the effects of trade liberalization on wage differences focus on workers’ characteristics (e.g., skilled or unskilled) while heterogeneity within the same worker group has not been yet substantially investigated. To fill this gap, this paper provides empirical evidence of wage inequality across firms within the same group of workers caused by trade liberalization, potentially implied in the new-new trade models with firm heterogeneity. Employing a difference-in-differences (DID) specification, we find that the wages of unskilled workers in Korea have increased since its FTAs with more advanced countries, such as members of EU and the US, came into effect, while the effects on the wages of skilled workers are negative but not statistically significant. We also show that wage effects are heterogeneous across firms within unskilled and skilled worker groups, while the positive effects are statistically significant and largest for unskilled workers in medium-large sized firms. These findings are in line with both traditional and new-new trade models.     

Perseverance and suspense in tug-of-war

We study a tug-of-war game between two players using the lottery contest success function (CSF) and a quadratic cost (of effort) function. We construct a pure strategy symmetric Markov perfect equilibrium of this game, show that it is unique, and provide closed-form solutions for equilibrium strategies and values. In stark contrast to a model of tug-of-war with an all-pay auction CSF, players exert positive efforts until the very last battle in this equilibrium. We deliver a set of empirically appealing results on effort dynamics.     

服务业对外直接投资的出口效应——基于我国微观企业的研究

文章基于我国服务业上市企业数据，采用多维固定效应模型，探讨和分析了我国服务业OFDI对服务贸易出口的影响，经研究发现：第一，服务业OFDI通过吸收东道国先进技术经验提升企业生产率水平和避开东道国服务贸易壁垒降低贸易成本，促进企业服务贸易出口增长；第二，我国服务业OFDI显著提升了企业服务贸易出口的二元边际，具体而言，整体上服务业OFDI会促进服务贸易出口增长4.82%，同时会提升企业的出口概率；第三，我国服务业OFDI"出口效应"存在明显的区域和行业的异质性，具体表现为：生产性服务业和消费性服务业OFDI存在显著的"出口效应"，其OFDI带动服务贸易出口的增长分别为5.68%和3.52%，而公共服务业则不存在显著的"出口效应"；东部地区和中部地区服务业OFDI存在显著的"出口效应"，其OFDI带动区域服务贸易出口的增长分别为4.97%和3.56%，而西部地区则不存在显著的"出口效应"。上述研究结论对化解我国服务贸易出口增长困境和完善服务业对外直接投资政策机制具有一定的启示意义。     

非互惠的零关税待遇是否促进了受惠国的出口多样化——基于中美对非洲贸易政策的比较研究

非互惠的优惠贸易待遇是世界贸易组织和国际社会支持发展中国家尤其是最不发达国家发展的重要工具。为了评估该政策的效果,本文以中美对非洲实施的零关税待遇为例,采用2001—2017年HS8位贸易数据从整体、行业和区域层面评估了两种政策对受惠国出口多样化产生的影响。结果显示,美国零关税待遇分为AGOA-GSP和AGOA-服装两个条款,中国零关税待遇(FOCAC)在遵循WTO规则、受惠商品范围、受惠国家标准、原产地标准及政策有效期方面均优于AGOA-GSP,但在原产地标准灵活度和政策优惠力度方面低于AGOA-服装。这些特征导致三类政策对受惠国出口多样化的影响产生显著的差异。整体上,FOCAC和AGOA-服装对受惠国出口多样化均产生了显著的积极影响,而AGOA-GSP的影响不显著;行业层面,FOCAC对受惠国制造业、矿业和农业的出口多样化均产生了显著的促进作用,而AGOA的两个条款对受惠国三个细分行业出口多样化的影响均不显著;区域层面,三类政策对受惠国出口多样化的影响仅在部分区域发挥效果。     

提高出口退税能够“稳就业”和“稳外贸”吗?

近年来,全球贸易保护主义抬头加剧了各国之间的贸易摩擦。本文以中美贸易为例,探讨中国出口退税政策在稳就业、稳外贸以及应对贸易摩擦中的作用机制。首先基于1994-2020年季度数据发现:中国就业的波动较平稳;净出口则呈现高波动特征;中国就业和净出口呈现弱顺周期。这些周期特征与其他国家存在显著差异。其次构建了一个含有不完全金融市场和价格不完全传递的对称两国开放经济DSGE模型,数值模拟发现:在本国出口退税冲击和它国技术冲击下,模型能够较好地拟合中国就业和净出口的周期特征,其中财富效应和由贸易条件变化引起的支出转移效应是主要的内在传导机制。借助模型对中美贸易摩擦的反事实实验发现:中国单方面提高1%出口退税时,中国就业增长0.05%,净出口增长0.28%,呈现较强持续性,提高出口退税能够稳就业和稳外贸;当中国提高1%出口退税和美国提高1%进口关税时,中国就业增长0.03%,净出口增长0.16%,呈现较强持续性,勒纳中性不成立,此时出口退税在稳就业和稳外贸中的作用尽管有所削弱,但依然有效。     

加征关税如何影响美国贸易逆差及全球福利——基于美元本位下两国动态一般均衡框架的分析

本文构建了一个包含美元本位特征的两国模型,在此基础上分析了美国加征关税及引发的贸易摩擦对美国贸易逆差和全球福利的影响,并详细探讨了相关传导机制。在基准模型设定下,美国单方面加征20%关税会使得美国贸易逆差占GDP比重小幅缩小约0.40个百分点,美国长期稳态GDP下降约2.50%,其他国家GDP下降约1.10%,美国居民福利上升约0.60%,其他国家居民福利下降约1.20%。美国单方面加征关税在抑制全球贸易和生产的同时,会通过更加不公平的国际贸易恶化全球福利分配。当其他国家采取报复性措施时,其他国家自身福利并不会进一步恶化,但美国福利会大幅下滑,同时美国贸易逆差相对规模变化不大。贸易摩擦博弈的“囚徒困境”特征在一定程度上能够解释贸易战的发生。削弱美元本位地位能促进国际贸易公平性的提升,进而能减弱贸易摩擦带来的负面影响、提升全球福利水平,并能有效缩窄美国贸易逆差。     

Risk Preferences and Gender Differences in Union Membership in Late Nineteenth-Century Swedish Manufacturing

Women are generally seen as less inclined to join trade unions. This study matches firm–worker data from the Swedish cigar and printing industries around 1900 and examines information on men and women holding the same jobs; such data are rare but important for understanding gender gaps. The results explain the gender gap in union membership among compositors, but not among cigar workers. Differences in union membership varied considerably across firms, with the largest differences found in low-union-density cigar firms where indirect costs (that is, uncertainty and risk) accrued in particular to women workers. The lack of gender differences in mutual aid membership indicates that women were not hard to organize but avoided organizations associated with greater risk for employer retaliation and uncertain returns according to a cost–benefit analysis.     

Debt Overhang and Deleveraging in the US Household Sector: Gauging the Impact on Consumption

Using a novel data set for the U.S. states, this paper examines whether household debt and the protracted debt deleveraging help explain the dismal performance of U.S. consumption since 2007 in the aftermath of the housing bubble. By separating the concepts of deleveraging and debt overhang—a flow and a stock effect—we find that excessive indebtedness exerted a meaningful drag on consumption over and beyond wealth and income effects. The overall effect, however, is modest—‐around one sixth of the slowdown in consumption between 2000–06 and 2007–12—and mostly driven by states with particularly large imbalances in their household sector. This might be indicative of non‐linearities, whereby indebtedness begins to bite only when misalignments from sustainable debt dynamics become excessive.     

Predictive regressions under asymmetric loss: Factor augmentation and model selection

This paper discusses the specifics of forecasting using factor-augmented predictive regressions under general loss functions. In line with the literature, we employ principal component analysis to extract factors from the set of predictors. In addition, we also extract information on the volatility of the series to be predicted, since the volatility is forecast-relevant under non-quadratic loss functions. We ensure asymptotic unbiasedness of the forecasts under the relevant loss by estimating the predictive regression through the minimization of the in-sample average loss. Finally, we select the most promising predictors for the series to be forecast by employing an information criterion that is tailored to the relevant loss. Using a large monthly data set for the US economy, we assess the proposed adjustments in a pseudo out-of-sample forecasting exercise for various variables. As expected, the use of estimation under the relevant loss is found to be effective. Using an additional volatility proxy as the predictor and conducting model selection that is tailored to the relevant loss function enhances the forecast performance significantly.     

一种级联两箱通用数字预失真器及其辨识算法

提出了一种由单形规范线性分段(SCPWL)函数与记忆多项式级联的数字预失真器，并给出了复数域两步最小二乘参数辨识算法。不同于以往一种预失真器适用一种功放模型的情况，所提的预失真算法利用SCPWL函数的分段特性以及记忆多项式的非线性记忆特性，在完成参数辨识的同时自动地调整结构，可适用于传统以及强非线性新型功放模型的线性化补偿。将所提预失真器分别应用于传统记忆多项式、两箱模型以及新型包络跟踪功放。经过计算机仿真，功放输出的幅频特性和频谱曲线表明所提预失真器能够有效地补偿多种功放的非线性特性。算法仿真比较结果也表明，针对包络跟踪功放，所提复数两步最小二乘算法的邻道泄漏比(ACLR)可改善约35 dB，性能优于最小均方(LMS)类算法约30 dB。