Economics Letters

STATA dataset

In our analysis, we use the China Family Panel Studies (CFPS) datasets for years of 2010, 2012, 2014, 2016 and 2018. CFPS is a nationally representative, longitudinal survey of Chinese communities, families and individuals funded by the Chinese government through Peking University in 2010. The studies in CFPS convey a wealth of information which focuses on the economic as well as the non-economic characteristics of the Chinese population. Therefore, the samples of CFPS are conductive to the measurement and analysis of the multidimensional poverty. Specifically, our sample selection process is as follows: (1) We exclude households in the urban region to focus on the poverty in rural region of China; (2) We eliminate the missing household samples in some years to ensure a balanced panel dataset; (3) We delete observations with missing values of variables. Our final sample consists of 4511 households that can be tracked in the 5 periods.

Uncertainty index and Volatility spillover index

Financial return and realized volatility during the global financial crisis period

This dataset is downloaded from the Federal Reserve Bank of St. Louis (https://research.stlouisfed.org/econ/mccracken/fred-databases/).

The data are from Millimet, List and Stengos (2003, Review of Economics and Statistics).

This file includes the codes for Monte Carlo simulations.

Sender-receiver deception game Player A (Sender) condition 1 = STFB, condtion 2 = ST, condition 3 = PTFB, condition 4 = PT.

Variables from publicly available sources. 1st worksheet provides weblinks 2nd worksheet provides variable definition 3rd worksheet includes data

research_data contains the data, code, and results files for the paper Estimation of Technical Change: Direct Semi/nonparametric Approaches by Subal C. Kumbhakar, Mingyang Li, and Shunan Zhao. The materials are in the corresponding folders, respectively. In order to replicate the results, the directories in the .R code scripts need to be changed accordingly.