This paper estimates threshold regression models with an endogenous variable using a nonparametric control function approach. Assuming diminishing effects, we derive the consistency and limiting distribution of our proposed estimator constructed from series approximation method for weakly dependent data. In addition, propose test endogeneity variable, which is valid regardless whether effects e...

In order to identify the mechanism and effect of agricultural land transfer on carbon emissions, a study was conducted by analyzing panel data 30 provincial-level administrative regions from 2005 2019. Both intermediary model threshold regression are applied test correlation between which provides some clarity affecting emissions its future trends. The research results as follows. Firstly, has ...

This paper tests empirically the Dutch disease macroeconomic dynamics in a set of oil exporting countries. Accordingly, this study was put forth to provide an assessment of the Dutch disease symptoms, by focusing on the link between macroeconomic instability indicators and economic growth. To this end, we assess the risk to real exchange rate, government spending and price stability from the oi...

to study the effect of urea application in safflower (carthamus tinctorius) and determination of effective traits on its yield, a factorial experiment based on randomized complete block design in three replications was conducted in tabriz, iran, during 2012. studied factors were urea rate levels as 100, 150 and 200 kg/ha and urea application times 100% in sowing time, 50% sowing time + 50% stem...

A model for binary panel data is introduced which allows for state dependence and unobserved heterogeneity beyond the effect of strictly exogenous covariates. The model is of quadratic exponential type and its structure closely resembles that of the dynamic logit model. An economic interpretation of its assumptions, based on expectation about future outcomes, is provided. The main advantage of ...

A new estimator, named S-LASSO, is proposed for the coefficient function of Function-on-Function linear regression model. The S-LASSO estimator shown to be able increase interpretability model, by better locating regions where zero, and smoothly estimate non-zero values function. sparsity ensured a \textit{functional LASSO penalty}, which pointwise shrinks toward zero function, while smoothness...

Agricultural product trade openness is a crucial factor impacting agricultural carbon emissions. This study analyzes the relationship between and emissions in China. Using panel data from 2002 to 2020 for 31 provinces, threshold model employed examine non-linear an environmental regulation perspective. The findings reveal significant single-threshold effect of regulation. When intensity low, po...

This paper examines the threshold effects of environmental regulation on China’s total factor energy efficiency (TFEE), by selecting the technological innovation (as measured by patents) as threshold variable. Using the SBM (Slacksbased Measure)-undesirable model, we first estimate TFEE of China's 30 provinces from 2000 to 2011 under the constraints of energy conservation and emission reduction...