CARACTERIZACIÓN Y FILOGENIA MOLECULAR EN PARÁSITOS

Cooley and LeRoy (1985) assumed that if the interpretations of VAR models are non- structural and are equivalent versions of the same model, the observationally equivalent versions of a given model have different causal interpretations. The important applications of VAR models have this invariance property.

A theoretical (not based on theory) macro econometrics has been credited for its use in analysing causal orderings and policy interventions. The criticism depends on whether VAR models are interpreted as structural or non-structural. If the models are structural in nature and interpreted as non-structural, the conclusions are not supported. Excluding prior identifying restrictions, when the adopted a theoretical

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macro econometrics is not arbitrary renormalized with restrictions on error distributions, the models are interpreted as structural. The conclusions are not supported, if the requirement for theory justification failed.

Blanchard and Quah (1989) assumed that the unemployment and output dynamics provide two types of shocks, the effects of first type of shock on output is permanent, the second shock effects is temporary and the two shocks being interpreted as supply and demand shocks. In graphical form the vertical axes denoted simultaneously the log of output and the rate of unemployment; the horizontal axis denotes time in quarters. The demand shocks have a hump-shaped effect on output and unemployment. They concluded that demand shocks with considerable contribution to the fluctuations of result at short and medium term horizons, and which after about two or three years the unemployment vanishes. The supply shocks have an effect on the level of output which cumulated steadily over time. In the base case, the peak response is about eight times the initial effect and takes place after eight quarters. The effect decreases to stabilize eventually, the long-run impact is roughly estimated for good statistical reasons. The effect of supply shocks on result adds up over time to attain a level after five years. They identified the dynamic effects of supply and demand shocks on real GNP with procedure based on estimation of a bivariate VAR system. Blanchard and Quah concluded that demand shocks majorly drive the result fluctuations as resulted from their estimation and identification. The study of Blanchard (1989) concluded that the particular identification restrictions imposed on the model result on demand shocks is robust and also based on an arbitrary supposition about the moving average representation are the results derived from VAR estimated. Lippi and Reichlin (1993,

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p. 644) argued that Blanchard and Quah's econometric work may be on the "wrong" side of the unit circle which leads to a moving average representation equal zero. An alternative moving average representation which is equivalent to a given estimated VAR is advocated. Lippi and Reichlin (1993) argued that the estimated VAR empirical results on nonstandard moving average representations that present economically reasonable alternatives to imaginative representations being compared with Blanchard and Quah's results.

Paruolo and Rehbek (1999) revealed that vector autoregressive model approach is weak in finding the shock of monetary policy to inflation and economic movement. In their results, exchange rate has a significant response on inflation and bank lending having significant impact on result, but the interest rate is not significant. No reaction to money supply of inflation and result in the model estimation. Paruolo and Rehbek (1999) showed that the inconsistent estimation in VAR integration of order two is the weak exogeneity wrong assumption of consistency and efficiency of the conditional system estimator. The inclusion of drift terms in VAR model does not affect the main conclusion, that is, the inclusion or exclusion of drift terms in VAR give the same result. In the same way, Atabaev and Ganiyev (2013) have argued that there is weakness in the shock of monetary policy to inflation and economic activity. Employing VAR estimation and money supply is not responding to inflation and result in the estimation. This brings low competition among the banks and the external financial have power over capital inflow in the economy of Kyrgyzstan.

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Gunnemann, Gunnemann, and Faloutsos (2014) have presented Robust Latent Autoregression (RLA) model to discover the users‟ base rating behaviour and anomalies in rating distributions. Gunnemann et al., (2014) argued that the RLA results indicated that the highest error is shown in non-robust VAR and Kalman Filtering. Since the unknown structure of the data cannot be identified, for their error increases rapidly for a high number of anomalies. RLA does better than the robust VAR method and RLA is more robust to the anomalies. RLA has less error compared to robust VAR while the non-robust VAR has the highest error. When predicting the future rating distribution, any method with a high number of anomalies is more challenging. Since the non-robust VAR is having the highest error, this indicated the weakness in VAR error terms.

Gordon and Leeper (1994), Christiano et al. (1996), and Strongin (1995) estimation of the big impacts of monetary policy shocks on real result, demanding the history of considerable part of variance result. Bernanke and Mihov (1998) in their study argued that the majority of its specifications, demand for brief historical post war business cycle instabilities, and find out very weak effects of policy innovations.

Though, Gordon and Leeper (1994), Christiano et al. (1996), and Strongin (1995) employed numerous variables and several released suppositions, using a general device to acquire identification and claimed that sector changes of the economy interrupted the reactions to monetary policy. Bernanke and Blinder (1992), Gordon and Leeper (1994), and Christiano et al. (1996) stressed the need for a list of variables that reasonably influence policy, with the variables in the inertial-sector block that

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penetrated the policy response function. Bernanke and Blinder (1992), Gordon and Leeper (1994), and Christiano et al. (1996) argued that contemporaneous consequence on policy are not presently given in the variables, a contemporaneous reaction to policy is also deprived. The studies revealed inconclusive opinions on the economic possibility of nonexistence of contemporaneous reactions to policy compared with the occurrence of contemporaneous impacts on policy for the variables.

The Bernanke and Blinder (1992) employed a further difficult identification scheme. It is an unreasonable supposition that the public sale of market prices like commodity prices is shunned. Gordon and Leeper (1994) examined that the long interest rate has no simultaneous reaction to monetary policy. The inaction suppositions raise during the literature make sense, yet the argument is that the traditional cost adjustment cost and sticky-price models cannot create a stochastic performance that agreed with VAR literature suppositions. For correct identification, the permission for a number of channels of instant reaction of the private sector to policy shock may be important, also even is the indication of the existence of inertia in the private sector. A structural stochastic equilibrium model is presented so as VAR identification scheme generate correct results. The restrictions that validated the other identification schemes emerged unfair, from the viewpoint of the model used in (Bernanke & Blinder, 1992) study.

The implication that monetary policy shocks are of less influence in production decline in the United States over the used period of sample, though, can be the biggest estimated effects. The specifications have the same result, which monetary policy reacts to inflationary shocks initiating in the private sector by constricting the money

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stock. It means, monetary policy powerfully opposed inflationary and deflationary demands than it supposed under a rule fixing the amount of money or its growth rate. The calculation of the reaction of the economy to inflationary disturbances under the supposition that policy reacted to all disturbances not as much as it has historically, and concluded that real policy may now react to the price level instabilities reductions (Bernanke & Blinder, 1992; Gordon & Leeper, 1994).

The monetary policy disturbances have very strong effects on prices, very weak effects on result. The experimental connection involving high interest rates and succeeding low result is in these interpretations because of the principal source of inflationary demands, not to contractionary monetary policy itself (Bernanke & Blinder, 1992; Christiano et al., 1996).

The discovery of weak effects and a small historical function for monetary policy in producing business cycle instabilities related to monetary policy disturbances; to irregular disparity in monetary policy. The outcome appeared that much of the practical disparity in monetary policy variables is analytically reacting to the economy stand; this is an anticipation of any effective monetary policy. The results are reliable, but bad monetary policy, unlike historical, can generate a high degree of unstable inflation and simultaneously likely, it also generated a high degree of instability in result which attributed to VAR weakness (Bernanke & Blinder, 1992).

VAR models cannot implement greatly bank disorganised reports (Angeloni, Faia, &Lo Duca, 2011; Eickmeier & Hofmann, 2013; Lang & Nakamura, 1995). The

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univariate regressions (De Nicolo, Dell'Ariccia, Laeven, & Valencia, 2010) cannot evaluate heterogeneity (diverse or dissimilar). White (1980) discovered heteroscedastic behaviour of error term in the data which cannot be modelled by VAR. The heteroscedastic error is enumerated as follows.

2.3 Autoregressive Conditional Heteroscedastic (ARCH) and Generalized