The conventional Sargan (1958) / Hansen (1982) test of overidentifying restrictions and the Tilting Parameter test of Imbens, Spady and Johnson (1998) are compared in the context of the AR(1) dynamic panel data model using Monte Carlo experiments. Interestingly, the size properties of the former are found to be superior in this setting. Nevertheless, the Sargan / Hansen test is found to have no...

At issue is the design of a test which can generate a signal about an agent’s quality when the agent is imperfectly informed and his participation in the test is voluntary. The designer strives for information generation, whereas the agent strives for a high quality perception and is averse to information generation. When quality is binary, the optimal test is binary and not subject to false po...

The two-break unit root test of Lumsdaine and Papell (1997) is examined and found to suffer from bias and spurious rejections in the presence of structural breaks under the null. A two-break minimum LM unit root test is proposed as a remedy. The two-break LM test does not suffer from bias and spurious rejections and is mostly invariant to the size, location, and misspecification of the breaks. ...

Financing constrains on investment are mainly important for small privately owned firms. Yet most of the investment literature focuses on the financing constraints of large publicly owned firms. This paper develops a financing constraints test based on a variable capital investment equation. Because it does not require the information about marginal q, the test can be easily applied to small fi...

This paper explains why the overall stance of monetary policy is effected by both interest rates and the exchange rate, and hence why a Monetary Conditions Indicator can provide useful information about the stance of policy. Three output gap equations estimated in this paper reveal that the real interest rate and the real exchange rate both affect excess demand but that the real interest rate i...

Abstract The aim of the paper is to compare forecasting performance a class statedependent autoregressive (SDAR) models for univariate time series with two alternative families nonlinear models, such as SETAR and GARCH models. study conducted on US GDP growth rate using quarterly data. Two methods forecast comparison are employed. first method consists in evaluation average by measures root mea...

i n the past decades, the effect of different tax amendments on various economic issues has been studied. the majority of these studies have avoided considering shadow economy as part of the calculation and analysis, and an issue, which has received little attention, is the relationship between green tax reforms and shadow economy, as for informal labor, which is well-connected to unemployment ...

abstract research and development (r&d;) spending plays a major role in innovation, raising productivity and increasing economic growth. the purpose of this paper is to investigate the impact of r&d; spending on growth and total factor productivity (tfp) in iran's agricultural sector. we estimate growth and productivity models using auto-regressive distributed lag (ardl) approach and data over ...