This paper presents an analysis of the co-evolutionary patterns of structural change in knowledge and economics. The former is made operational through an analysis of co-occurrences of technological classes in patent documents in order to derive indicators of coherence, variety and cognitive distance. The latter, on the other hand, is made operational in a synthetic way by implementing shift sh...

a medium scale structural macroeconometric model is constructed to investigate the effects of energy price liberalization on the main macroeconomic variables. the analysis is conducted under 3 different scenarios of increasing the price of energy sources to the level prevailed in the countries of the persian gulf region. these 3 scenarios are a sudden increase, a gradual increase within a 5 yea...

The literature on corporate governance has highlighted the importance of board characteristics related to firm innovation. However, empirical findings have not been totally conclusive, and some seem contradictory. Adopting a new perspective, we tried help resolve puzzle using meta-analysis that integrates from 96 previous studies analyze relationship between attributes, grouped by their relatio...

factor demand behavior such as energy demand has an important role in the economic analysis. this issue is a major concern in the developing countries (e.g. iran) which are benefited from vast energy resources. in this paper, the third generation of factor demand models is used to analyze the behavior of capital adjustment in the iranian manufacturing industries. the dataset covers the two-digi...

We show that if policymakers compute the optimal unconstrained interest-rate rule within a Taylor-type class, they may be led to rules that generate indeterminacy and/or instability under learning. This problem is compounded by uncertainty about structural parameters since an optimal rule that is determinate and stable under learning for one calibration may be indeterminate or unstable under le...

This paper extends the distributional theory for the problem of testing for structural change in the linear model when the timing of the change is unknown, and proposes a simple method of obtaining approximate critical values for the mean-Wald test. The results apply for a very wide range of regressor types, including integrated and trending regressors, and regressors that exhibit their own str...

We develop a stochastic frontier model with unknown locations and number of structural breaks for both efficiency and technology. The structural changes in technology and efficiency are different. It is possible to identify these two types of changes even under a short panel context. The algorithm to estimate the model is designed to avoid the potential pitfalls with panel data. Parallel comput...

We show that range convexity of beliefs, a ‘technical’ condition that appears naturally in axiomatizations of preferences in a Savage-like framework, imposes some unexpected restrictions when modelling ambiguity averse preferences. That is, when it is added to a mild condition, range convexity makes the preferences collapse to subjective expected utility as soon as they satisfy structural condi...

We derive a closed form expression for the asymptotic distribution of the LIML estimator for the coefficients of both endogenous and exogenous variables in a partially identified linear structural equation. We extend previous results of Phillips (1989) and Choi and Phillips (1992) where the focus was on IV estimators. We show that partial failure of identification affects the LIML in that its m...

Theil, Basmann, and Sargan are often credited with the development of the two-stage least squares (TSLS) estimator of the coefficients of one structural equation in a simultaneous equations model. However, Anderson and Rubin had earlier derived the asymptotic distribution of the limited information maximum likelihood (LIML) estimator by finding the asymptotic distribution of what is essentially...