<p>This study examines the impact of exchange rate on inflation in Nigeria economy between 1970 and 2007. We analyzed the trend of inflation and exchange rate in the last 38 years by evaluating the relationship between government expenditure, money supply, Oil revenue, exchange rate and inflation as the dependent variables. We adopted the Augmented Dickey- Fuller to carry out the unit root test and co integration with Johansen test.</p><p>Our result shows that the individual variables are integrated order one, that is a unit root exist. This means that each variable tends to follow a random walk. On the other hand, inflation rate, exchange rate, oil revenue, government spending and money supply are co integrated. This revealed a strong relationship among the variables though inflation rate and exchange rate show no long term relationship, but short term relationship seems to exist between them.</p>

Thesis (M.Com. (Economics & Economic History)) - Rhodes University, 2006. / A thesis submitted in partial fulfilment of the requirements of the degree of Masters of Commerce in Financial Markets.

No description available.

Τα υποδείγματα δεικτών διάχυσης χρησιμοποιούνται για την πρόβλεψη χρονοσειρών όπως το ΑΕΠ ή ο πληθωρισμός.Η μέθοδος αυτή στηρίζεται στην εκτίμηση παραγόντων με την μέθοδο των κύριων συνιστωσών. / Diffusion Index Models are used in forecasts of time series such as GNP or inflation.This method is based on estimation of factors with the method of principal components.

This dissertation investigates the effects of exchange rate devaluation on non-mining exports in Botswana over the period 1984-2012 and the exchange rate pass-through effect to consumer prices. The economy of Botswana is significantly dependent on mineral exports, particularly the diamond. The dominance and over-reliance on diamond exports in the economy has led to low levels of economic diversification. Bank of Botswana has over the years devalued the pula, in attempt to stimulate growth of non-mining export industries and to enhance non-mining export competitiveness. However, raising export competitiveness this way may be inflationary and have no significant effect on non-mining exports. The study investigates the existence of cointegration between real effective exchange rate and the non-mining exports using the Johansen method of cointegration. The vector error correction model is used, to examine the short-run dynamics of the model. The results suggest that a positive long-run relationship exists between real effective exchange rate and Botswana’s non-mining exports. The results of the exchange rate pass-through suggest that nominal exchange rate has a short term relationship with consumer prices in Botswana. However this relationship does not hold over the long run.

This thesis analyzed and estimated the impact of the March 1, 2018 loan to income amortization requirement on residential real estate prices in Sweden. A four variables vector autoregressive model (VAR) was used to study the relationships between residential real estate prices, GDP, real mortgage rate and consumer price index over a time period from 2005 to 2017. First, a structural vector autoregressive (SVAR) model was used to test how a structural innovation in the error term for real mortgage rate affected residential real estate prices. Secondly, an unconditional forecast from our reduced VAR was produced to estimate post 2017 price growth of the Swedish housing market. The impulse response function results stand in contradiction to economic intuition i.e. the price puzzle problem. The unconditional forecast indicates that the housing market will enter a period with slower price growth post 2017, which are in line with previous research. This thesis vector autoregressive model can give meaningful results with regard to trend forecasts but with regard to precise statements as anticipating drastic price depreciation, it falls short. We recommend the use of reduced VAR forecasting with regard to the Swedish housing market.

This thesis uses nonparametric revealed preference methods to derive new tests for consistency with models of consumer behaviour, and discuss the implications for welfare analysis. Chapter 1 demonstrates how to conduct revealed preference analysis when prices, and hence budget constraints, are only partially observed. This chapter extends the revealed preference results of Crawford and Polisson (2015), derived for the static case, to dynamic settings, allowing for storability of goods. Necessary and sufficient conditions for consistency with intertemporal models are derived, which do not require the researcher to distinguish between corner solutions and unavailability of the good, or to impute prices. Chapter 2 discusses the validity of using reported happiness measures as proxies of utility or social welfare, by testing for consistency between revealed and reported preference orderings in Japanese household survey data. Although the expenditure behaviour of most households is consistent with standard models of utility maximisation, it is generally inconsistent with the preference ordering given by their reported happiness. This inconsistency is likely due to reporting error in the happiness measure, and suggests that happiness and utility are empirically distinct and noninterchangeable. Chapter 3 investigates the effect of price inattention on inflation misperceptions and cost-of-living indices, by developing a behavioural model in which consumers only notice price changes above a certain threshold. A data application, using supermarket scanner data, demonstrates that this model generates plausible results; in particular, consumers have more accurate perceptions of inflation during periods of high or volatile inflation, but may substantially misperceive inflation when it is low. These results have important implications for conducting welfare analysis when consumers are not fully attentive to price changes.

This paper examines the effects of the Global Financial Crisis on the relationship between unemployment and inflation rate through the Phillips Curve in five Nordic countries: Denmark, Finland, Iceland, Norway and Sweden, from 1999 to 2016. The Nordic countries are quite unique in the world, as they are all economically and culturally connected to each other, which allows us to analyse how the crisis affected them differently. The foundation of our research is the Phillips Curve, which shows an inverse relationship between unemployment and inflation. By using the two-way fixed effects model, we have investigated whether the Phillips Curve and the relationship still holds during the time of the crisis for the Nordic countries. The results have shown that the relationship has changed during the crisis period, which might be due to the unemployment shock and the low targeted inflation rate.

A presente tese, a partir de três ensaios, faz uso de diferentes especificações da curva de Phillips, para discutir distintos objetivos embasados em assuntos relevantes como o processo de determinação de preços e seus custos sociais para a economia brasileira. Neste sentido, o primeiro ensaio utiliza de uma equação de transferência para a especificação da curva de Phillips, a partir do método das variáveis instrumentais, para alcançar a taxa de desemprego não aceleradora da inflação (NAIRU). Este método, para dados trimestrais de 2000 a 2013, possibilitou identificar uma mudança no coeficiente de correlação entre a taxa de desemprego e a taxa de inflação, que passou de um trade-off (negativo) para uma relação positiva, além da permanência da taxa NAIRU acima da taxa de desemprego no período em questão. Preocupando-se com este resultado expressivo, o segundo ensaio se comprometeu em analisar se esse adveio de possíveis não linearidades presentes na curva, preocupação que já havia sido retratada pelo trabalho seminal de Phillips (1958), indicando que a relação da taxa de variação dos salários nominais e a taxa de desemprego seria altamente não linear. Nesse contexto, utilizando o modelo de vetores autorregressivos que considera a não-linearidade dos parâmetros (quebras estruturais), variáveis exógenas de controle (para contornar o problema de omissão de variáveis) para o período de 1995 a 2014, estimou-se a Curva de Phillips Novo-Keynesiana Hibrida (CPNKH) para identificar possíveis quebras estruturais para dados da economia brasileira. O modelo estimado foi caracterizado por um MSIH(2)VAR(1) e foi possível confirmar a não linearidade a partir do teste da razão de verossimilhança, com a identificação de dois períodos bem distintos ao longo da amostra. Além disso, foi verificada uma representatividade maior para o termo inercial (Backward Looking) indicando que as expectativas de inflação contribuem menos para a explicação do processo inflacionário recente da economia brasileira. Uma vez que um dos principais objetivos do Regime de Metas de Inflação (RMI) é ancorar a formação de preços a partir das expectativas futuras dos agentes econômicos, além disso, dada a não linearidade encontrada para dados da economia brasileira no segundo ensaio, e dada as diferentes significâncias, importâncias e patamares para os componentes da curva que representam as expectativas (futuras e passadas), o terceiro ensaio se comprometeu em, ao invés de confiar exclusivamente em uma única medida de tendência central, analisar os quantis de toda a distribuição condicional da variável resposta (taxa de inflação). Utilizando do método da regressão quantílica inversa, que utiliza os blocos em movimento bootstrap de Fitzenberger (1997), descrito por Chernozhukov e Hansen (2005), para o período de maio de 2001 a agosto de 2016, foi possível identificar a importância adquirida pelas expectativas futuras ao longo dos períodos analisados. Quando se faz estimações considerando somente a média condicional, o termo inercial é maior e significativo para praticamente todas as especificações e modelos apresentados. Utilizando do modelo da regressão quantílica inversa, por outro lado, é possível verificar que o termo Forward Looking ganha força e domina o Backward Looking nos três períodos analisados, em diferentes níveis de inflação, demonstrando, assim, o comportamento assimétrico (não linear) do processo inflacionário. Desta forma, foi possível mostrar o amadurecimento do objetivo do RMI e averiguar que os componentes expectacionais da CPNKH, para dados da economia brasileira, foram capazes de manter sua importância e significância em toda distribuição condicional no processo de determinação de preços recente. / The present dissertation, based on three essays, makes use of different specifications for the Phillips curve, to discuss different objectives based on relevant issues such as the process of price determination and its social costs for the Brazilian economy. In this sense, the first assay uses a transfer equation for the specification of the Phillips curve, using the instrumental variables method, to reach the non-accelerating inflation rate of unemployment (NAIRU). This method, for quarterly data from 2000 to 2013, enable the identification of a change in the coefficient of correlation between the unemployment rate and the inflation rate, which transitioned from a trade-off to a positive relation, in addition to the permanence of the NAIRU above the unemployment rate in the period in question. Concerning with this expressive result, the second essay undertook to analyze whether this resulted from possible non-linearities present in the curve, a concern that had already been portrayed by the seminal work of Phillips (1958), indicating that the relation of the rate of change of wages and the unemployment rate would be highly non-linear. In this context, using the autoregressive vector model that considers the non-linearity of the parameters (structural breaks), exogenous variables of control (to circumvent the problem of omission of variables) for the period from 1995 to 2014, it was estimated the Phillips New-Keynesian Hybrid (CPNKH) to identify possible structural breaks for Brazilian economy data. The estimated model was characterized by a MSIH (2) VAR (1) and it was possible to confirm the nonlinearity from the likelihood ratio test, with the identification of two distinct periods throughout the sample. In addition, it was verified a greater representativeness for the inertial term (Backward Looking), indicating that the expectations of inflation contributed less to the explanation of the recent inflationary process of the Brazilian economy. Since one of the main objectives of the Inflation Targeting Regime (ITR) is to anchor the formation of prices based on the future expectations of the economic agents, in addition, given the non-linearity found for the data of the Brazilian economy in the second essay, and considering the different significance, importance and thresholds for the components of the curve that represent (future and past) expectations, the third assay committed to, instead of relying solely on a single measure of central tendency, analyze the quantiles of the entire conditional distribution of the response variable (inflation rate). Using the reverse quantum regression method, which uses the Fitzenberger (1997) bootstrap blocks, described by Chernozhukov and Hansen (2005), for the period from May 2001 to August 2016, it was possible to identify the importance acquired by the expectations over the periods analyzed. When estimating only the conditional average, the inertial term is larger and significant for practically all the specifications and models presented. On the other hand, it is possible to verify the Forward Looking term gaining importance and dominating the Backward Looking in the three analyzed periods, at different levels of inflation, thus, demonstrating the asymmetric (non-linear) behavior of the inflationary process. In this way, it was possible to show the maturity of the objective of the ITR as to verify that the expected components of the CPNKH for the Brazilian economy data were able to maintain its importance and significance in all conditional distribution in the recent pricing process.

We augment a standard monetary VAR on output growth, inflation and the nominal interest rate with the central bank's inflation target, which we estimate from a New Keynesian DSGE model. Inflation target shocks give rise to a simultaneous increase in inflation and the nominal interest rate in the short run, at no output expense, which stands at the center of an active current debate on the Neo-Fisher effect. In addition, accounting for persistent monetary policy changes reflected in inflation target changes improves identification of a standard temporary nominal interest rate shock in that it strongly alleviates the price puzzle. / Series: Department of Economics Working Paper Series