Topics in Spatial Econometrics - With Applications to House Prices

Topics in Spatial Econometrics — With Applications to House Prices Spatial effects in data occur when geographical closeness of observations influences the relation between the observations. When two points on a map are close to each other, the observed values on a variable at those points tend to be similar. The further away the two points are from each other, the less similar the observed values tend to be. Recent technical developments, geographical information systems (GIS) and global positioning systems (GPS) have brought about a renewed interest in spatial matters. For instance, it is possible to observe the exact location of an observation and combine it with other characteristics. Spatial econometrics integrates spatial aspects into econometric models and analysis. The thesis concentrates mainly on methodological issues, but the findings are illustrated by empirical studies on house price data. The thesis consists of an introductory chapter and four essays. The introductory chapter presents an overview of topics and problems in spatial econometrics. It discusses spatial effects, spatial weights matrices, especially k-nearest neighbours weights matrices, and various spatial econometric models, as well as estimation methods and inference. Further, the problem of omitted variables, a few computational and empirical aspects, the bootstrap procedure and the spatial J-test are presented. In addition, a discussion on hedonic house price models is included. In the first essay a comparison is made between spatial econometrics and time series analysis. By restricting the attention to unilateral spatial autoregressive processes, it is shown that a unilateral spatial autoregression, which enjoys similar properties as an autoregression with time series, can be defined. By an empirical study on house price data the second essay shows that it is possible to form coordinate-based, spatially autoregressive variables, which are at least to some extent able to replace the spatial structure in a spatial econometric model. In the third essay a strategy for specifying a k-nearest neighbours weights matrix by applying the spatial J-test is suggested, studied and demonstrated. In the final fourth essay the properties of the asymptotic spatial J-test are further examined. A simulation study shows that the spatial J-test can be used for distinguishing between general spatial models with different k-nearest neighbours weights matrices. A bootstrap spatial J-test is suggested to correct the size of the asymptotic test in small samples.

Exploring Marketing in Micro Firms

Purpose - The purpose of the paper is to explore the practice of marketing in micro firms. Which are the challenges micro firms encounter and how do they handle them? Methodology - The research methodology is based on the theory-in-use approach (Zaltman, Heffring & LeMasters 1982) in order to inductively explore the practice of marketing in micro firms. The empirical findings rest on ten case studies, where data has been generated through repeated interactions with each case. Findings - The empirical findings show that micro firms handle their marketing challenges in a distinctive manner, by creatively using available resources and network relations. Marketing in micro firms is largely about a long-term, gradual development of a position on the market. This process we label germinal marketing. Two key dimensions of germinal marketing were identified: “earning your position” and “being your brand”. Research limitations and implications - The findings rest on an explorative study consisting of ten cases and the general applicability of the results need to be validated by further studies. These cases are however sufficient to illuminate the need for further research into the area. Value of the paper - The value of the paper is twofold. First, it expands the theory-in-use approach, and presents a research method for successful inductive empirical studies of small firm phenomena. Secondly, the paper widens our understanding of the marketing reality and practice of micro firms, identifying new dimensions of marketing and revealing the strategic implications of ordinary business activities.

Markov random fields and spatial smoothing in improving of forest inventory estimates

Markov random fields (MRF) are popular in image processing applications to describe spatial dependencies between image units. Here, we take a look at the theory and the models of MRFs with an application to improve forest inventory estimates. Typically, autocorrelation between study units is a nuisance in statistical inference, but we take an advantage of the dependencies to smooth noisy measurements by borrowing information from the neighbouring units. We build a stochastic spatial model, which we estimate with a Markov chain Monte Carlo simulation method. The smooth values are validated against another data set increasing our confidence that the estimates are more accurate than the originals.

On the force potential of strategy texts: a critical discourse analysis of a strategic plan and its power effects in a city organization

Despite increasing interest in the discursive aspects of strategy, few studies have examined strategy texts and their power effects. We draw from Critical Discourse Analysis to better understand the power of strategic plans as a directive genre. In our empirical analysis, we examined the creation of the official strategic plan of the City of Lahti in Finland. As a result of our inductive analysis, we identified five central discursive features of this plan: self-authorization, special terminology, discursive innovation, forced consensus and deonticity. We argue that these features can, with due caution, be generalized and conceived as distinctive features of the strategy genre. We maintain that these discursive features are not trivial characteristics; they have important implications for the textual agency of strategic plans, their performative effects, impact on power relations and ideological implications.

Kalman Filter Algorithm for Rating and Prediction in Basketball

The Thesis presents a state-space model for a basketball league and a Kalman filter algorithm for the estimation of the state of the league. In the state-space model, each of the basketball teams is associated with a rating that represents its strength compared to the other teams. The ratings are assumed to evolve in time following a stochastic process with independent Gaussian increments. The estimation of the team ratings is based on the observed game scores that are assumed to depend linearly on the true strengths of the teams and independent Gaussian noise. The team ratings are estimated using a recursive Kalman filter algorithm that produces least squares optimal estimates for the team strengths and predictions for the scores of the future games. Additionally, if the Gaussianity assumption holds, the predictions given by the Kalman filter maximize the likelihood of the observed scores. The team ratings allow probabilistic inference about the ranking of the teams and their relative strengths as well as about the teams’ winning probabilities in future games. The predictions about the winners of the games are correct 65-70% of the time. The team ratings explain 16% of the random variation observed in the game scores. Furthermore, the winning probabilities given by the model are concurrent with the observed scores. The state-space model includes four independent parameters that involve the variances of noise terms and the home court advantage observed in the scores. The Thesis presents the estimation of these parameters using the maximum likelihood method as well as using other techniques. The Thesis also gives various example analyses related to the American professional basketball league, i.e., National Basketball Association (NBA), and regular seasons played in year 2005 through 2010. Additionally, the season 2009-2010 is discussed in full detail, including the playoffs.

Sanomattakin selvää? : "Ja", "mutta" ja "että" puheenvuoron lopussa

This study describes the use of utterances ending in the conjunctions "ja" (‘and’), "mutta" (‘but’) or "että" (‘that’/‘so’) in Finnish conversation. It argues that in spoken interaction, these conjunctions are not only used as linking elements but also as final elements in interactional and linguistic units. In contrast to more traditional views, the study shows that final conjunctions do not always indicate incompleteness or project continuation, but that they can also form recognizable points for turn-transition. In these contexts they can be reanalyzed as final particles that leave some aspect of the turn implicit. The data for the study consist of audio-taped telephone conversations and videotaped service encounters. Situated within the framework of conversation analysis and interactional linguistics, the study discusses the interactional uses of conjunction-final turns and their recognizability as possibly complete units in talk-in-interaction. The analysis of conjunction-final utterances focuses on 1) participant orientation, and 2) their recurrent contexts of use. The results show that the recipients of conjunction-final utterances often treat them as sufficient and complete in their contexts by displaying understanding or agreement. When the same speaker continues after a pause, it is not always clear that the continuation was "planned" in advance; it can also be reactive to lack of expected uptake. In these cases, a turn can be analyzed as potentially complete even if the same speaker decides to continue after a pause. In the light of these observations, the study confirms the incremental nature of spoken language. All the final conjunctions under examination have recurrent and recognizable contexts of use. Most typically, a conjunction-final utterance is produced in the service of some earlier claim by the same speaker. The conjunction-final utterance may 1) specify the earlier claim with a detailing list ("ja"), 2) legitimize it by presenting grounds ("että") or 3) partly back down from it by making a concession ("mutta"). Together with the earlier claim, conjunction-final utterances form recognizable discourse patterns that are used for argumentative purposes. In these contexts, conjunctions are used to relinquish the floor instead of functioning as turn-holding devices. In conclusion, the study discusses the emergence of conjunctions as final particles – how their development can be explained. Conjunction-type final particles emerge from recurring situations in which the future course of the conjunction-final turn-so-far is clear enough to remain unsaid, to be left to inference. More specifically, this ability to leave something to inference often lies in the fixed discourse patterns that are conventionalized and predictable and thus reducible.