نتایج جستجو برای: run relationship among variables in both growth models
تعداد نتایج: 17524604 فیلتر نتایج به سال:
It is no longer news that Nigeria runs a single-product economy where the only source of revenue for country crude oil exportation. Changes in prices international market continue to have severe implications on country's economy's growth rate, exchange rate and even inflation. This study seeks investigate impact four key variables (crude price, real inflation population) Nigeria’s economic grow...
The views expressed in this paper are those of the author and do not imply the expression of any opinion on the part of the United Nations Secretariat.
this paper investigates the short- run and long-run effects of government size and exports on the economic growth of iran as a developing oil export based economy for the period of 1974 - 2008 using an autoregressive distributed lags (ardl) framework. a modified form of feder (1982) and subsequently ram’s (1986) model has been applied to include both government size and exports in growth equati...
this thesis aims to adduce an unmitigated and comprehensive explication concerning the relationship of three significant elements of fiction: setting, chracter and theme. my research is basically placed on two outstanding novels of the 19th century: emily brontes wuthering heights and thomas hardys return of the native. my endeavour lies in studying the correlation among the three above-mention...
Measurement errors are often correlated, as in surveys where respondent’s biases or tendencies to err affect multiple reported variables. We extend Schennach (2007) to identify moments of the conditional distribution of a true Y given a true X when both are measured with error, the measurement errors in Y and X are correlated, and the true unknown model of Y given X has nonseparable model error...
In a nonparametric setup involving stochastic regressors. regression quantiles relate to the so called conditional quantile functions. Various asymptotic properties of such conditional quantile processes are studied with due emphasis on the underlying design aspects.
The linear measurement error model is an alternative to the classical regression model, in which we assume that the independent variables are subject to error. This assumption can cause statistical inferences and parameter estimators to di er dramatically from those obtained from the classical regression model. However, inferences may remain unchanged even though the independent variables are a...
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