Multivariate study and regression analysis of gluten-free granola

This study developed a gluten-free granola and evaluated it during storage with the application of multivariate and regression analysis of the sensory and instrumental parameters. The physicochemical, sensory, and nutritional characteristics of a product containing quinoa, amaranth and linseed were evaluated. The crude protein and lipid contents ranged from 97.49 and 122.72 g kg-1 of food, respectively. The polyunsaturated/saturated, and n-6:n-3 fatty acid ratios ranged from 2.82 and 2.59:1, respectively. Granola had the best alpha-linolenic acid content, nutritional indices in the lipid fraction, and mineral content. There were good hygienic and sanitary conditions during storage; probably due to the low water activity of the formulation, which contributed to inhibit microbial growth. The sensory attributes ranged from 'like very much' to 'like slightly', and the regression models were highly fitted and correlated during the storage period. A reduction in the sensory attribute levels and in the product physical stabilisation was verified by principal component analysis. The use of the affective test acceptance and instrumental analysis combined with statistical methods allowed us to obtain promising results about the characteristics of gluten-free granola.

Expressing the self in postmodern travel consumption: a case study of students

The study approaches student travel from the perspective of postmodern consumption. The background is in the observation that the student travel market has a vast potential, but it is not necessarily capitalized upon to the extent it could. This might partly have to do with the peculiarities of postmodernity: consumption is characterized by unpredictability and abstract motives. The research questions are built around what constitutes student travel consumption and how can students be categorized according to motivation, behaviour and values. Also identity and expressiveness are present and it is evaluated, if travel services facilitate these background is the observation that the student travel market has a vast potential, but it is not necessarily capitalized upon to the extent it could be. This might partly have to do with the peculiarities of postmodernity: consumption is characterized by unpredictability and abstract motives. The research questions are built around what constitutes student travel consumption and how can students be categorized according to motivation, behaviour and values. Also identity and expressiveness are present and it is evaluated whether travel services facilitate these constructs. The topic is approached by discovering the key concepts such as self-identity. This was done in order to create survey questions that reflect the underlying theories. The survey was sent to chosen student groups of Turku School of Economics. The data was analyzed using statistical methods, mainly principal component analysis, in order to categorize students’ motives and behaviour into distinct profiles. The findings indicate that students have a high level of awareness in their travel consumption choices. Travel services seem to facilitate identity and lifestyle expressiveness, one central dimension of postmodernity. Psychographics such as motivation seem to work well as a segmentation criteria when it comes to the student traveler market. Travel offers students an opportunity for relaxation, escape, enjoyment and gaining new experiences and social contacts. Furthermore, the enjoyment of the travel experience extends to the pre- and post-trip time.

Tietoperustaisten HRM-käytäntöjen, luottamuksen ja suorituskyvyn suhde suomalaisessa organisaatiokontekstissa

Henkilöstöjohtamisen käytännöillä on merkittävä vaikutus organisaation johtamiseen ja tätä kautta menestymiseen. Hyvin suunnitellut ja toteutetut käytännöt ovat osaltaan vaikuttamassa yrityksessä vallitsevaan luottamukseen. Hyvä sisäinen luottamustaso puolestaan heijastuu myös organisaation ulkoiseen luottamukseen. Tietoperustaiset HRM-käytännöt ovat keskeisessä roolissa juuri nyt, koska työelämä ja työn tekeminen ovat murrosvaiheessa ja muutosten nopeus kiihtyy entisestään tietointensiivisten työtehtävien lisääntyessä. HRM-käytäntöjä on tutkittu paljon aiempien vuosikymmenten aikana. Tietoperustaisten henkilöstöjohtamisen käytäntöjen tutkimusta on ollut jonkin verran 2000-luvun alun jälkeen. Henkilöstöjohtamisen käytäntöjen suhdetta luottamukseen ja suorituskykyyn on myös tutkittu. Sen sijaan vielä ei ollut tehty tutkimusta, jossa yhdistetään tietoperustaisten henkilöstöjohtamisen käytäntöjen, luottamuksen ja suorituskyvyn suhde. Tämän tutkimuksen tarkoitus on selvittää tietoperustaisten HRM-käytäntöjen, luottamuksen ja suorituskyvyn yhteyttä. Tutkimuksen pääpaino on tietoperustaisten henkilöstökäytäntöjen suhde luottamukseen. Tutkittavat tietoperustaiset henkilöstöjohtaminen käytännöt liittyvät rekrytointiin, osaamisen kehittämiseen, suoritusarviointiin ja palkitsemiseen. Tutkimukseen osallistui 246 Suomessa toimivaa yritystä. Kyselytutkimuksen lisäksi tutkimuksessa käytettiin taloudellisia tietokantoja yritysten suorituskykyä kuvaavien tunnuslukujen määrittämisessä. Tutkimus on määrällinen ja se perustuu tilastollisten menetelmien ja analyysien käyttöön. Tutkimuksessa saatiin selville, että tietoperustaisilla osaamisen kehittämisen ja suoritusarviointien HRM-käytännöillä on positiivinen vaikutus luottamukseen. Tietoon pohjautuvilla henkilöstöjohtamisen käytännöillä voidaan siis rakentaa parempaa luottamustasoa organisaatioissa.

Consumer’s purchase intention of ethical fashion. Examining beliefs about fashion industry and attitudes towards ethical fashion

Globalization and the developments of supply chain have made inexpensive labor and the low production costs of developing countries available to businesses worldwide. Unfortunately, these developments have also led to the exploitation of human and natural resources. The increasing supply of cheap and fashionable clothing has created a contradiction between consumers’ concerns for sustainability and their purchase behavior in the fashion industry. Since the uncovering of several sweatshop scandals in the 1980’s and 1990’s ethical fashion brands have started to emerge. Ethical fashion has sparked the interest of consumers and studies have shown promising positive attitudes towards it. However, these attitudes have failed to translate into action and purchase behavior of ethical fashion has not reached the expectations. In order to translate the positive attitudes into buying companies must understand consumer’s motivations and reasons behind the purchase decision. The objective of this study is to understand the antecedents behind young consumer’s purchase intention of ethical fashion. The study is based on the theory of planned behavior which has been widely used to study consumer behavior and purchase decisions. The theory has also been used in ethical decision-making and fashion context before. According to the theory, in order to understand purchase intentions consumer’s attitudes toward buying ethical fashion were studied. The theory also states that attitudes are formed from beliefs, thus, consumer’s beliefs about the fashion industry were studied. To contribute to existing research, the effect of sweatshop issues and environmental issues were compared. The data was collected from university students (n=617) with an online survey. The results were analyzed by statistical methods and they revealed that young Finnish consumers hold positive attitudes towards buying ethical fashion as well as positive purchase intentions of ethical fashion. A strong relationship was found between positive attitudes and positive purchase intentions. Also, the more negative consumers’ beliefs of the fashion industry were the more positive their attitudes toward buying ethical fashion were. In contradiction to previous research this study revealed that environmental issues had greater effect on attitudes than sweatshop issues. Interesting differences between consumers were found depending on their field of education. Students from humanities and social sciences held the most negative beliefs as well as most positive attitudes and purchase intentions of ethical fashion.

Synnytyksen ponnistusvaiheen hoidon käytännöt. Yhteys ensisynnyttäjän välilihan kuntoon synnytyksen jälkeen, synnytyskokemukseen, kipuun ja seksuaaliterveyteen

Hyvän syntymän hoidon tavoitteena on turvata synnyttäjän paras mahdollinen terveys, vähentää tarpeetonta puuttumista synnytyksen kulkuun ja mahdollistaa voimaannuttava synnytyskokemus perheelle. Hyvä syntymän hoito ja siihen liittyvä kätilöiden kliinisen hoitotyön osaaminen ei voi kehittyä, ellei hoitotyön käytäntöjä tutkita. Suomalaista hoitotieteellistä syntymän hoitoon liittyvää tutkimusta on vähän. Tämän tutkimuksen tarkoituksena oli kuvata synnytyksen ponnistusvaiheen hoidon käytäntöjä Suomen synnytyssairaaloissa. Lisäksi seurantatutkimuksen avulla selvitettiin, miten ensisynnyttäjät kokivat synnytyksen ponnistusvaiheen, sen aikana saamansa hoidon, ensisynnyttäjien synnytyskokemusta, kivun kokemista, vointia kolmena päivänä synnytyksen jälkeen sekä heidän seksuaaliterveyttään ensimmäisen vuoden aikana synnytyksen jälkeen. Tutkimuksen tavoitteena oli tuottaa tietoa, jonka avulla voidaan kehittää synnytyksen ponnistusvaiheen hoitoa ja lisätä tietoa synnyttäneiden naisten voinnista ja seksuaaliterveydestä. Tutkimuksen ensimmäinen osio toteutettiin poikkileikkaustutkimuksena (2009), johon osallistui Suomen synnytyssairaaloiden synnytysosastoilla työskentelevät kätilöt (N = 662). Tutkimuksen toinen osio toteutettiin seurantatutkimuksena (2009−2011), jossa oli neljä mittausajankohtaa: kolmantena päivänä synnytyksestä sekä kolmen, kuuden ja kahdentoista kuukauden kuluttua synnytyksestä. Tähän osioon osallistui spontaanisti alateitse yhden elävän lapsen (pää tarjoutuvana) synnyttäneet ensisynnyttäjät (N = 453) ja sikiön perätilan vuoksi suunnitellusti keisarileikatut ensisynnyttäjät (N = 84). Aineisto analysoitiin tilastollisin menetelmin. Tutkimustulosten mukaan osa kätilöiden käyttämistä synnytyksen ponnistusvaiheen hoitokäytännöistä ei ole näyttöön perustuvia. Synnytyssairaalan synnytyksen hoidon kulttuuri näyttää siirtyvän mallioppimisen kautta. Ensisynnyttäjät kokivat synnytyksen ponnistusvaiheen hoidon pääsääntöisesti myönteisenä. Alateitse synnyttäneillä ensisynnyttäjillä oli myönteisempi synnytyskokemus ja vähemmän kipua heti synnytyksen jälkeen ja kolmena synnytyksen jälkeisenä päivänä verrattuna keisarileikkauksella synnyttäneisiin ensisynnyttäjiin. Alateitse synnyttäneillä ensisynnyttäjillä kipu ja ompeleet eivät vaikuttaneet haitallisesti vastasyntyneen hoitoon tai imetykseen niin paljon kuin keisarileikkauksella synnyttäneillä ensisynnyttäjillä. Välilihan leikkaus-, repeämä- tai keisarileikkaushaavat olivat täysin parantuneet suurimmalla osalla naisista kolmen kuukauden kuluttua synnytyksestä. Yleisimpiä naisten kokemia oireita ensimmäisen vuoden aikana synnytyksestä olivat emättimen kostumisen vaikeus, yhdyntäkivut, peräpukamat sekä arpikudoksen kipu ja kiristys. Sukupuolinen halukkuus ja tyytyväisyys seksielämään olivat huonompaa ensimmäisen vuoden aikana synnytyksestä verrattuna aikaan ennen raskautta ja synnytystä. Synnytyksen aikaisella hoitotyöllä ja näyttöön perustuvalla synnytyksen ponnistusvaiheen hoidolla on suuri merkitys naisen synnytyskokemukseen, synnytyksen jälkeiseen vointiin ja seksuaaliterveyteen.

THE USE OF COGNITIVE INTERVIEWS TO EVALUATE THE LIVING CONDITIONS SURVEY

Cognitive interviews were used to evaluate two draft versions of a financial survey in Jamaica. The qualitative version used a few open-ended questions, and the quantitative version used numerous close-ended questions. A secondary analysis based on the cognitive interview literature was used to guide a content analysis of the aggregate data of both surveys. The cognitive interview analysis found that the long survey had fewer respondent errors than the open-ended questions on the short survey. A grounded theory analysis then examined the aggregate cognitive data, showing that the respondents attached complex meanings to their financial information. The main limitation of this study was that the standard assessments of quantitative and qualitative reliability and validity were not utilized. Further research should utilize statistical methods to compare and contrast aggregated cognitive interview probe responses on open and close ended surveys.

The Seemingly Unrelated Dynamic Cointegration Regression Model and Testing for Purching Power Parity.

This paper studies seemingly unrelated linear models with integrated regressors and stationary errors. By adding leads and lags of the first differences of the regressors and estimating this augmented dynamic regression model by feasible generalized least squares using the long-run covariance matrix, we obtain an efficient estimator of the cointegrating vector that has a limiting mixed normal distribution. Simulation results suggest that this new estimator compares favorably with others already proposed in the literature. We apply these new estimators to the testing of purchasing power parity (PPP) among the G-7 countries. The test based on the efficient estimates rejects the PPP hypothesis for most countries.

Simulation-Based Finite and Large Sample Tests in Multivariate Regressions.

In the context of multivariate linear regression (MLR) models, it is well known that commonly employed asymptotic test criteria are seriously biased towards overrejection. In this paper, we propose a general method for constructing exact tests of possibly nonlinear hypotheses on the coefficients of MLR systems. For the case of uniform linear hypotheses, we present exact distributional invariance results concerning several standard test criteria. These include Wilks' likelihood ratio (LR) criterion as well as trace and maximum root criteria. The normality assumption is not necessary for most of the results to hold. Implications for inference are two-fold. First, invariance to nuisance parameters entails that the technique of Monte Carlo tests can be applied on all these statistics to obtain exact tests of uniform linear hypotheses. Second, the invariance property of the latter statistic is exploited to derive general nuisance-parameter-free bounds on the distribution of the LR statistic for arbitrary hypotheses. Even though it may be difficult to compute these bounds analytically, they can easily be simulated, hence yielding exact bounds Monte Carlo tests. Illustrative simulation experiments show that the bounds are sufficiently tight to provide conclusive results with a high probability. Our findings illustrate the value of the bounds as a tool to be used in conjunction with more traditional simulation-based test methods (e.g., the parametric bootstrap) which may be applied when the bounds are not conclusive.

Exact Tests for Contemporaneous Correlation of Disturbances in Seemingly Unrelated Regressions.

This paper proposes finite-sample procedures for testing the SURE specification in multi-equation regression models, i.e. whether the disturbances in different equations are contemporaneously uncorrelated or not. We apply the technique of Monte Carlo (MC) tests [Dwass (1957), Barnard (1963)] to obtain exact tests based on standard LR and LM zero correlation tests. We also suggest a MC quasi-LR (QLR) test based on feasible generalized least squares (FGLS). We show that the latter statistics are pivotal under the null, which provides the justification for applying MC tests. Furthermore, we extend the exact independence test proposed by Harvey and Phillips (1982) to the multi-equation framework. Specifically, we introduce several induced tests based on a set of simultaneous Harvey/Phillips-type tests and suggest a simulation-based solution to the associated combination problem. The properties of the proposed tests are studied in a Monte Carlo experiment which shows that standard asymptotic tests exhibit important size distortions, while MC tests achieve complete size control and display good power. Moreover, MC-QLR tests performed best in terms of power, a result of interest from the point of view of simulation-based tests. The power of the MC induced tests improves appreciably in comparison to standard Bonferroni tests and, in certain cases, outperforms the likelihood-based MC tests. The tests are applied to data used by Fischer (1993) to analyze the macroeconomic determinants of growth.

Markovian Processes, Two-Sided Autoregressions and Finite-Sample Inference for Stationary and Nonstationary Autoregressive Processes.

In this paper, we develop finite-sample inference procedures for stationary and nonstationary autoregressive (AR) models. The method is based on special properties of Markov processes and a split-sample technique. The results on Markovian processes (intercalary independence and truncation) only require the existence of conditional densities. They are proved for possibly nonstationary and/or non-Gaussian multivariate Markov processes. In the context of a linear regression model with AR(1) errors, we show how these results can be used to simplify the distributional properties of the model by conditioning a subset of the data on the remaining observations. This transformation leads to a new model which has the form of a two-sided autoregression to which standard classical linear regression inference techniques can be applied. We show how to derive tests and confidence sets for the mean and/or autoregressive parameters of the model. We also develop a test on the order of an autoregression. We show that a combination of subsample-based inferences can improve the performance of the procedure. An application to U.S. domestic investment data illustrates the method.

Économétrie, théorie des tests et philosophie des sciences

Dans ce texte, nous revoyons certains développements récents de l’économétrie qui peuvent être intéressants pour des chercheurs dans des domaines autres que l’économie et nous soulignons l’éclairage particulier que l’économétrie peut jeter sur certains thèmes généraux de méthodologie et de philosophie des sciences, tels la falsifiabilité comme critère du caractère scientifique d’une théorie (Popper), la sous-détermination des théories par les données (Quine) et l’instrumentalisme. En particulier, nous soulignons le contraste entre deux styles de modélisation - l’approche parcimonieuse et l’approche statistico-descriptive - et nous discutons les liens entre la théorie des tests statistiques et la philosophie des sciences.

Simulation-Based Finite-Sample Tests for Heteroskedasticity and ARCH Effects.

A wide range of tests for heteroskedasticity have been proposed in the econometric and statistics literature. Although a few exact homoskedasticity tests are available, the commonly employed procedures are quite generally based on asymptotic approximations which may not provide good size control in finite samples. There has been a number of recent studies that seek to improve the reliability of common heteroskedasticity tests using Edgeworth, Bartlett, jackknife and bootstrap methods. Yet the latter remain approximate. In this paper, we describe a solution to the problem of controlling the size of homoskedasticity tests in linear regression contexts. We study procedures based on the standard test statistics [e.g., the Goldfeld-Quandt, Glejser, Bartlett, Cochran, Hartley, Breusch-Pagan-Godfrey, White and Szroeter criteria] as well as tests for autoregressive conditional heteroskedasticity (ARCH-type models). We also suggest several extensions of the existing procedures (sup-type of combined test statistics) to allow for unknown breakpoints in the error variance. We exploit the technique of Monte Carlo tests to obtain provably exact p-values, for both the standard and the new tests suggested. We show that the MC test procedure conveniently solves the intractable null distribution problem, in particular those raised by the sup-type and combined test statistics as well as (when relevant) unidentified nuisance parameter problems under the null hypothesis. The method proposed works in exactly the same way with both Gaussian and non-Gaussian disturbance distributions [such as heavy-tailed or stable distributions]. The performance of the procedures is examined by simulation. The Monte Carlo experiments conducted focus on : (1) ARCH, GARCH, and ARCH-in-mean alternatives; (2) the case where the variance increases monotonically with : (i) one exogenous variable, and (ii) the mean of the dependent variable; (3) grouped heteroskedasticity; (4) breaks in variance at unknown points. We find that the proposed tests achieve perfect size control and have good power.

Empirical Assessment of an Intertemporal Option Pricing Model with Latent variables

This paper assesses the empirical performance of an intertemporal option pricing model with latent variables which generalizes the Hull-White stochastic volatility formula. Using this generalized formula in an ad-hoc fashion to extract two implicit parameters and forecast next day S&P 500 option prices, we obtain similar pricing errors than with implied volatility alone as in the Hull-White case. When we specialize this model to an equilibrium recursive utility model, we show through simulations that option prices are more informative than stock prices about the structural parameters of the model. We also show that a simple method of moments with a panel of option prices provides good estimates of the parameters of the model. This lays the ground for an empirical assessment of this equilibrium model with S&P 500 option prices in terms of pricing errors.

Logique et tests d'hypotheses: reflexions sur les problemes mal poses en econometrie

Dans ce texte, nous analysons les développements récents de l’économétrie à la lumière de la théorie des tests statistiques. Nous revoyons d’abord quelques principes fondamentaux de philosophie des sciences et de théorie statistique, en mettant l’accent sur la parcimonie et la falsifiabilité comme critères d’évaluation des modèles, sur le rôle de la théorie des tests comme formalisation du principe de falsification de modèles probabilistes, ainsi que sur la justification logique des notions de base de la théorie des tests (tel le niveau d’un test). Nous montrons ensuite que certaines des méthodes statistiques et économétriques les plus utilisées sont fondamentalement inappropriées pour les problèmes et modèles considérés, tandis que de nombreuses hypothèses, pour lesquelles des procédures de test sont communément proposées, ne sont en fait pas du tout testables. De telles situations conduisent à des problèmes statistiques mal posés. Nous analysons quelques cas particuliers de tels problèmes : (1) la construction d’intervalles de confiance dans le cadre de modèles structurels qui posent des problèmes d’identification; (2) la construction de tests pour des hypothèses non paramétriques, incluant la construction de procédures robustes à l’hétéroscédasticité, à la non-normalité ou à la spécification dynamique. Nous indiquons que ces difficultés proviennent souvent de l’ambition d’affaiblir les conditions de régularité nécessaires à toute analyse statistique ainsi que d’une utilisation inappropriée de résultats de théorie distributionnelle asymptotique. Enfin, nous soulignons l’importance de formuler des hypothèses et modèles testables, et de proposer des techniques économétriques dont les propriétés sont démontrables dans les échantillons finis.

The Bootstrap of Mean for Dependent Heterogeneous Arrays.

Presently, conditions ensuring the validity of bootstrap methods for the sample mean of (possibly heterogeneous) near epoch dependent (NED) functions of mixing processes are unknown. Here we establish the validity of the bootstrap in this context, extending the applicability of bootstrap methods to a class of processes broadly relevant for applications in economics and finance. Our results apply to two block bootstrap methods: the moving blocks bootstrap of Künsch ( 989) and Liu and Singh ( 992), and the stationary bootstrap of Politis and Romano ( 994). In particular, the consistency of the bootstrap variance estimator for the sample mean is shown to be robust against heteroskedasticity and dependence of unknown form. The first order asymptotic validity of the bootstrap approximation to the actual distribution of the sample mean is also established in this heterogeneous NED context.