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Convergence research aims to solve complex problems employing transdisciplinarity. [1] While academic disciplines are useful for identifying and conveying coherent bodies of knowledge , some problems require collaboration among disciplines, including both enhanced understanding of scientific phenomena as well as resolving social issues .
"Beta-convergence" on the other hand, occurs when poor economies grow faster than rich ones. Economists say that there is "conditional beta-convergence" when economies experience "beta-convergence" but conditional on other variables (namely the investment rate and the population growth rate) being held constant.
The AK model, which is the simplest endogenous model, gives a constant-savings rate of endogenous growth and assumes a constant, exogenous, saving rate. It models technological progress with a single parameter (usually A). The model is based on the assumption that the production function does not exhibit diminishing returns to scale.
In science and history, consilience (also convergence of evidence or concordance of evidence) is the principle that evidence from independent, unrelated sources can "converge" on strong conclusions. That is, when multiple sources of evidence are in agreement, the conclusion can be very strong even when none of the individual sources of evidence ...
The idea of convergence has roots in the 1950s, and was a response to greater economic integration and international capital flows after World War II. Before the 1990s, convergence took the form of harmonization, the reduction of differences between the various accounting standards used internationally. [2]
Convergence in distribution is the weakest form of convergence typically discussed, since it is implied by all other types of convergence mentioned in this article. However, convergence in distribution is very frequently used in practice; most often it arises from application of the central limit theorem .
Relational models are closely related to convergence models. [64] For convergence models, the goal of communication is convergence: to reach a mutual understanding. Feedback plays a central role in this regard: effective feedback helps achieve this goal while ineffective feedback leads to divergence. [66] [67] Difference models emphasize the ...
Difference in differences (DID [1] or DD [2]) is a statistical technique used in econometrics and quantitative research in the social sciences that attempts to mimic an experimental research design using observational study data, by studying the differential effect of a treatment on a 'treatment group' versus a 'control group' in a natural experiment. [3]