This article discusses the effect of an autocorrelated error structure on the interpretation of traditional significance tests, especially the t-test and R2 measure It emphasizes first-order serial correlation, a common and often serious problem that researchers using time series data may...

We analyze the characteristics of the change in arable land area in China according to the change data of arable land area and other relevant data from the year 1996 to 2006, and adopt Factor Analysis Method and Stepwise Regression Method to carry out quantitative analysis on the driving factors...

We use the regression analysis method of multivariate statistical analysis to establish a multiple linear regression model about the net income and consumption expenditure of Chinese rural households during the year 2007. This paper analyzes the internal relation between the net income and...

This paper constructs estimators for panel data regression models with individual specific heterogeneity and two-sided censoring and truncation. Following Powell (1986) the estimation strategy is based on moment conditions constructed from re-censored or re-truncated residuals. While these...

We develop a new quantile-based panel data framework to study the nature of income persistence and the transmission of income shocks to consumption. Log-earnings are the sum of a general Markovian persistent component and a transitory innovation. The persistence of past shocks to earnings is...

We develop a new quantile-based panel data framework to study the nature of income persistence and the transmission of income shocks to consumption. Log-earnings are the sum of a general Markovian persistent component and a transitory innovation. The persistence of past shocks to earnings is...