scholarly journals Trade Policy Uncertainty, Innovation and Total Factor Productivity

2021 ◽  
Vol 14 (1) ◽  
pp. 266
Author(s):  
Yuan Zhou ◽  
Yao Ji
Keyword(s):  
Trade Policy ◽  
Control Method ◽  
Policy Uncertainty ◽  
Synthetic Control ◽  
Factor Productivity ◽  
Synthetic Control Method ◽  
China Trade ◽  
Hong Kong Sar ◽  
The Impact ◽  
Trade Policy Uncertainty

This paper explores the impact of trade policy uncertainty (TPU) shock on China’s total factor productivity. Using economic panel data for China, OECD countries, Hong Kong SAR, Macao SAR, and Singapore from the period 2003–2019, in this paper, we treat U.S.–China trade frictional events in 2016 and 2017 as a quasi-experiment to study the impact of TPU surge on China’s TFP under the synthetic control method (SCM) and generalized synthetic control method (GSCM), treating the OECD countries, Hong Kong SAR, Macao SAR, and Singapore as a control group. We found that TPU surge has a significantly negative causal effect on China’s TFP. SCM analysis, taking 2016 (2017) as the policy implementation time, showed that the average TFP loss borne by China due to trade policy uncertainty in 2017 and 2018 was 2.7% (3.5%). The VAR model showed that China’s trade policy uncertainty reduces China’s TFP through two channels: the shrinking channel of domestic R&D innovation, and the shrinking channel of the domestic sector’s use of foreign patents. This conclusion is robust according to the GSCM. To the best of the authors’ knowledge, this paper is the first attempt to examine the long-term technological impact of TPU surge during U.S.–China trade frictional events. Our findings suggest that trade friction harms technological progress, and reducing TPU can significantly enhance innovation and TFP.

Applying Synthetic Control Method to Estimate the Impact of the Lava Jato Operation on the Worldwide Governance Indicators in Brazil

2021 ◽  
pp. 2631309X2110178
Author(s):  
Eduardo Carvalho Nepomuceno Alencar ◽  
Bryant Jackson-Green
Keyword(s):  
Rule Of Law ◽  
Control Method ◽  
Synthetic Control ◽  
Synthetic Control Method ◽  
The Rule Of Law ◽  
Governance Indicators ◽  
Regulatory Quality ◽  
Legal Judgments ◽  
The Impact ◽  
Control Of Corruption

In 2014, the most prominent anti-corruption investigation in Latin America called Lava Jato, exposed a Brazilian corruption scheme with reverberations in 61 countries, resulting in legal judgments for nearly 5 billion USD in reimbursements thus far. This article applies the synthetic control method on data from 135 countries (2002–2018) to test the hypothesis that Lava Jato impacts the Worldwide Governance Indicators in Brazil. The findings reveal that Lava Jato negatively affects control of corruption, the rule of law, and regulatory quality. There are signs of possible improvement in at least the corruption and the rule of law measures. This paper brings value to the criminological body of literature, notably lacking in the Global South.

scholarly journals When is a Match Sufficient? A Score-based Balance Metric for the Synthetic Control Method

2020 ◽  
Vol 8 (1) ◽  
pp. 209-228
Author(s):  
Layla Parast ◽  
Priscillia Hunt ◽  
Beth Ann Griffin ◽  
David Powell
Keyword(s):  
Los Angeles ◽  
Control Method ◽  
Control Unit ◽  
Treated Group ◽  
Control Group ◽  
Synthetic Control ◽  
Donor Pool ◽  
Synthetic Control Method ◽  
The Mean ◽  
The Impact

AbstractIn some applications, researchers using the synthetic control method (SCM) to evaluate the effect of a policy may struggle to determine whether they have identified a “good match” between the control group and treated group. In this paper, we demonstrate the utility of the mean and maximum Absolute Standardized Mean Difference (ASMD) as a test of balance between a synthetic control unit and treated unit, and provide guidance on what constitutes a poor fit when using a synthetic control. We explore and compare other potential metrics using a simulation study. We provide an application of our proposed balance metric to the 2013 Los Angeles (LA) Firearm Study [9]. Using Uniform Crime Report data, we apply the SCM to obtain a counterfactual for the LA firearm-related crime rate based on a weighted combination of control units in a donor pool of cities. We use this counterfactual to estimate the effect of the LA Firearm Study intervention and explore the impact of changing the donor pool and pre-intervention duration period on resulting matches and estimated effects. We demonstrate how decision-making about the quality of a synthetic control can be improved by using ASMD. The mean and max ASMD clearly differentiate between poor matches and good matches. Researchers need better guidance on what is a meaningful imbalance between synthetic control and treated groups. In addition to the use of gap plots, the proposed balance metric can provide an objective way of determining fit.

scholarly journals Assessment of the impact of the employment roadmap on the unemployment rate of the Republic of Kazakhstan: synthetic control method

2021 ◽  
pp. 121-130
Author(s):  
T. S. Sokira ◽  
Z. T. Myshbayeva
Keyword(s):  
Unemployment Rate ◽  
Control Method ◽  
Action Plan ◽  
Control Group ◽  
Synthetic Control ◽  
Donor Pool ◽  
Synthetic Control Method ◽  
The Republic ◽  
The Impact ◽  
Weighted Combination

The purpose of the research is to assess the impact of the action plan of the Employment Roadmap on the unemployment rate in Kazakhstan.Methodology. Synthetic Control Method was used in this paper. The method, which compares one or more units exposed to the event and determines what would have happened if the unit had not been treated. In other words, this method creates a weighted combination of control states to create a single «synthetic» control group, in order to approach the counterfactual unit in Kazakhstan in the absence of a plan or Roadmap.The originality / value of the research based on the analysis, panel data from Kazakhstan and 13 donor pool countries for the period 2000-2019 were taken for modeling.Findings: As a result of the study, it was revealed that the unemployment rate would have been 2% higher in 2019 if Kazakhstan had not adopted an action plan in the form of an Employment Roadmap in 2009.

scholarly journals China's “Great Migration”: The impact of the reduction in trade policy uncertainty

2019 ◽  
Vol 120 ◽  
pp. 126-144 ◽  
Author(s):  
Giovanni Facchini ◽  
Maggie Y. Liu ◽  
Anna Maria Mayda ◽  
Minghai Zhou
Keyword(s):  
Trade Policy ◽  
Great Migration ◽  
Policy Uncertainty ◽  
The Impact ◽  
Trade Policy Uncertainty
Sign in / Sign up

Export Citation Format

Share Document