69 resultados para ECONOMIC STATISTICS


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In recent years, thanks to developments in information technology, large-dimensional datasets have been increasingly available. Researchers now have access to thousands of economic series and the information contained in them can be used to create accurate forecasts and to test economic theories. To exploit this large amount of information, researchers and policymakers need an appropriate econometric model.Usual time series models, vector autoregression for example, cannot incorporate more than a few variables. There are two ways to solve this problem: use variable selection procedures or gather the information contained in the series to create an index model. This thesis focuses on one of the most widespread index model, the dynamic factor model (the theory behind this model, based on previous literature, is the core of the first part of this study), and its use in forecasting Finnish macroeconomic indicators (which is the focus of the second part of the thesis). In particular, I forecast economic activity indicators (e.g. GDP) and price indicators (e.g. consumer price index), from 3 large Finnish datasets. The first dataset contains a large series of aggregated data obtained from the Statistics Finland database. The second dataset is composed by economic indicators from Bank of Finland. The last dataset is formed by disaggregated data from Statistic Finland, which I call micro dataset. The forecasts are computed following a two steps procedure: in the first step I estimate a set of common factors from the original dataset. The second step consists in formulating forecasting equations including the factors extracted previously. The predictions are evaluated using relative mean squared forecast error, where the benchmark model is a univariate autoregressive model. The results are dataset-dependent. The forecasts based on factor models are very accurate for the first dataset (the Statistics Finland one), while they are considerably worse for the Bank of Finland dataset. The forecasts derived from the micro dataset are still good, but less accurate than the ones obtained in the first case. This work leads to multiple research developments. The results here obtained can be replicated for longer datasets. The non-aggregated data can be represented in an even more disaggregated form (firm level). Finally, the use of the micro data, one of the major contributions of this thesis, can be useful in the imputation of missing values and the creation of flash estimates of macroeconomic indicator (nowcasting).

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XVIII IUFRO World Congress, Ljubljana 1986.

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Tutkielman tavoitteena on selvittää miten taloustaantuma vaikutti asuntosijoittamisen kiinnostavuuteen ja asuntomarkkinoilla käytävään keskusteluun vuonna 2008. Tuolloin Suomen talous taantui voimakkaasti ja nopeasti yllättäen myös ennusteita laativat asiantuntijat. Ekonomistien lausunnoista puuttui yhdenmukaisuus ja tarkkuus. Ne myös saattoivat muuttua merkittävästi lyhyellä aikavälillä. Taantumassa sijoitusviestintä on varovaista ja tarkasti muotoiltua. Sijoittajat uskovat mielellään muiden sijoittajien mielipiteitä ja käsityksiä vaikkei niiden taustalla olisikaan aina todennettua faktatietoa. Asiantuntijoiden tilastoihin halutaan uskoa vaikka niitä kohtaan koetaan epäilyksiä. Toisaalta asuntosijoittamisen kannattavuuteen ja taloudelliseen tuottoon halutaan uskoa vaikka asiantuntijat voisivat todistaa toisin. Tutkimus toteutettiin kvalitatiivisena tapaustutkimuksena jota analysoitiin Greimasin aktanttimallia mukaillen. Tutkimusaineisto koostui 14 Helsingin Sanomissa julkaistuista asuntosijoittamiseen liittyvistä artikkelista sekä 13 Taloussanomien keskustelupalstalla julkaistusta mielipidekirjoituksesta. Viestien merkityksiä käytiin läpi semioottisesti määrittelemällä eri aktanteille rooleja. Tarinassa sijoittajasubjektin objektina on asunto, jonka avulla pyritään saavuttamaan mahdollisimman suuri rahallinen tuotto. Lähettäjiä ovat muun muassa tilastojen laatijat ja sijoitusneuvojat. Kaikki optimaalisen sijoituspäätöksen tekemiseen vaikuttavat aktantit käydään tarkemmin läpi tutkimuksen loppupuolella.

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This thesis studies the effect of income inequality on economic growth. This is done by analyzing panel data from several countries with both short and long time dimensions of the data. Two of the chapters study the direct effect of inequality on growth, and one chapter also looks at the possible indirect effect of inequality on growth by assessing the effect of inequality on savings. In Chapter two, the effect of inequality on growth is studied by using a panel of 70 countries and a new EHII2008 inequality measure. Chapter contributes on two problems that panel econometric studies on the economic effect of inequality have recently encountered: the comparability problem associated with the commonly used Deininger and Squire s Gini index, and the problem relating to the estimation of group-related elasticities in panel data. In this study, a simple way to 'bypass' vagueness related to the use of parametric methods to estimate group-related parameters is presented. The idea is to estimate the group-related elasticities implicitly using a set of group-related instrumental variables. The estimation results with new data and method indicate that the relationship between income inequality and growth is likely to be non-linear. Chapter three incorporates the EHII2.1 inequality measure and a panel with annual time series observations from 38 countries to test the existence of long-run equilibrium relation(s) between inequality and the level of GDP. Panel unit root tests indicate that both the logarithmic EHII2.1 inequality measure and the logarithmic GDP per capita series are I(1) nonstationary processes. They are also found to be cointegrated of order one, which implies that there is a long-run equilibrium relation between them. The long-run growth elasticity of inequality is found to be negative in the middle-income and rich economies, but the results for poor economies are inconclusive. In the fourth Chapter, macroeconomic data on nine developed economies spanning across four decades starting from the year 1960 is used to study the effect of the changes in the top income share to national and private savings. The income share of the top 1 % of population is used as proxy for the distribution of income. The effect of inequality on private savings is found to be positive in the Nordic and Central-European countries, but for the Anglo-Saxon countries the direction of the effect (positive vs. negative) remains somewhat ambiguous. Inequality is found to have an effect national savings only in the Nordic countries, where it is positive.

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It is often maintained that the Prohibition Act (in force from 1 June 1919 to 5 April 1932) still influences both the Finnish alcohol policy and notions about alcohol. This study focuses on the development of women s opinions concerning Prohibition in Finland. What role did the formulation and expression of women s opinions and women's actions play in the final outcome of the Prohibition Act? What do the debate on Prohibition and women s activities for and against the legislation tell us about the status and possibilities of women to exert influence in the Finnish society of the Prohibition era? Women s opinions are particularly interesting since they deviated radically from what has generally been assumed. It was expected that the referendum of 1931 would result in a resounding vote of 100% in favour of Prohibition, but the outcome was a majority vote against it. Over 65% of the women who cast their vote in the referendum wanted a full repeal of Prohibition. The study approaches the history of Prohibition by combining methods and theories of the history of mentalities and social history with gender history. Women are examined as a heterogeneous group with dissimilar objectives and differing ways of acting and thinking. The research material consists of press materials, archival materials from organisations, personal materials and statistics from the Prohibition period. Both discourses and practices are examined; the object of the research is best described by Michel Foucault's concept of dispositif. When participating in the public debate on Prohibition, women based their right to express their opinions and take part in action on an ideological continuum spanning a hundred years, according to which home and family were central areas of women s interest. This idea was linked to questions of morality and social policy. On the other hand, women presented themselves as working taxpayers, voters and equal citizens. The most crucial issue in women's discussions was whether Prohibition improved or worsened the temperance of fathers, husbands and sons. The dichotomies town dweller - countryside dweller, Swedish-speaking Finnish-speaking, and middle class - working class were highly significant backgrounds both as factors dividing women and in public discussions regarding Prohibition. The 1931 referendum showed that the lines of demarcation drawn during the preceding debate did not materialise in political action in line with these dichotomies: the dispositif did not correspond to the discourse. Contrary to what was expressed in public, a great number of women among the labour and rural classes, among inland inhabitants and among Finnish-speakers were also against Prohibition. The media and organisations defended temperance and Prohibition almost until the end of the Prohibition era. This discourse was in conflict with the discourse of everyday conversations and practices in which alcohol was present.

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The lifestyles of people living in single-family housing areas on the outskirts of the Greater Helsinki Region (GHR) are different from those living in inner city area. The urban structure of the GHR is concentrated in the capital on the one hand, and spread out across the outskirts on the other. Socioeconomic spatial divisions are evident as well-paid and educated residents move to the inner city or the single-family house dominated suburban neighbourhoods depending on their housing preferences and life situations. The following thesis explores how these lifestyles have emerged through the housing choices and daily mobility of the residents living in the new single-family housing areas on the outskirts of the GHR and the inner city. The study shows that, when it comes to lifestyles, residents on the outskirts of the region have different housing preferences and daily mobility patterns when compared with their inner city counterparts. Based on five different case study areas my results show that these differences are related to residents values, preferences and attitudes towards the neighbourhood, on the one hand, and limited by urban structure on the other. This also confirms earlier theoretical analyses and findings from the GHR. Residents who moved to the outskirts of Greater Helsinki Region and the apartment buildings of the inner city were similar in the basic elements of their housing preferences: they sought a safe and peaceful neighbourhood close to the natural environment. However, where housing choices, daily mobility and activities vary different lifestyles develop in both the outskirts and the inner city. More specifically, lifestyles in the city apartment blocks were inherently urban. Liveliness and highest order facilities were appreciated and daily mobility patterns were supported by diverse modes of transportation for the purposes of work, shopping and leisure time. On the outskirts, by contrast, lifestyles were largely post-suburban and child-friendliness appreciated. Due to the heterachical urban structure, daily mobility was more car-dependent since work, shopping and free time activities of the residents are more spread around the region. The urban structure frames the daily mobility on the outskirts of the region, but this is not to say that short local trips replace longer regional ones. This comparative case study was carried out in the single-family housing areas of Sundsberg in Kirkkonummi, Landbo in Helsinki and Ylästö in Vantaa, as well as in the inner city apartment building areas of Punavuori and Katajanokka in Helsinki. The data is comprised of residential surveys, interviews, and statistics and GIS data sets that illustrate regional daily mobility, socio-economic structure and vis-à-vis housing stock.