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1

Fixed effects regression models. Thousand Oaks, Calif: Sage Publications, 2009.

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2

Allison, Paul. Fixed Effects Regression Models. 2455 Teller Road, Thousand Oaks California 91320 United States of America: SAGE Publications, Inc., 2009. http://dx.doi.org/10.4135/9781412993869.

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3

Linear and nonlinear models: Fixed effects, random effects, and mixed models. Berlin: Walter de Gruyter, 2006.

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4

Fixed effects regression methods for longitudinal data using SAS. Cary, N.C: SAS Institute, 2005.

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5

Heitmueller, Axel. A note on decompositions in fixed effects models in the presence of time-invariant characteristics. Bonn, Germany: IZA, 2005.

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6

Stock, James H. Heteroskedasticity-robust standard errors for fixed effects panel data regression. Cambridge, MA: National Bureau of Economic Research, 2006.

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7

LeBlanc, Michael R. Step-function covariate effects in the proportional hazards model. Toronto, Ont: University of Toronto, Department of Statistics, 1993.

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8

Yeom, Namsoo. Effects of asymmetric demand shocks in a fixed exchange rate two-country model. [s.l.]: typescript, 1992.

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9

Extending the linear model with R: Generalized linear, mixed effects and nonparametric regression models. Boca Raton: Taylor & Francis, 2016.

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10

Hahn, Jinyong. Asymptotically unbiased inference for a dynamic panel model with fixed effects when both n and T are large. Cambridge, MA: Massachusetts Institute of Technology, Dept. of Economics, 2000.

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11

Doris, Aedin. Means testing disincentives and the labour supply of the wives of unemployed men : results from a fixed effects model. Maynooth, Co Kildare: National University of Ireland, Maynooth, 1999.

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12

Linear And Nonlinear Models Vol I Fixed Effects Random Effects And Total Least Squares. Springer, 2012.

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13

Aye, Goodness C. Wealth inequality and CO2 emissions in emerging economies: The case of BRICS. UNU-WIDER, 2020. http://dx.doi.org/10.35188/unu-wider/2020/918-1.

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As the world battles with the triple problems of social, economic, and environmental challenges, it has become important to focus both policy and research efforts on these. Therefore, this study examines the effect of wealth inequality on CO2 emissions in five emerging economies: Brazil, Russia, India, China, and South Africa. The top decile of wealth share was used as a measure of wealth inequality, while CO2 emissions per capita were used as a measure of CO2 emissions. GDP per capita, population, and financial development (domestic credit to the private sector) were included as control variables. A balanced panel dataset of annual observations from 2000 to 2014 for these countries was used. Both fixed and random effects panel models were estimated, but the Hausman test favoured the use of the fixed effects model. The results based on the fixed effects panel regression model show that wealth inequality, GDP per capita, and population have positive effects on CO2 emissions, while financial development has a negative effect.
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14

Maxfield, Thomas R. A regression model of the effects of personnel characteristics on aviation readiness and productivity. 1985.

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15

Powell, David, and Joachim Wagner. The Exporter Productivity Premium along the Productivity Distribution: Evidence from Unconditional Quantile Regression with Firm Fixed Effects. RAND Corporation, 2011. http://dx.doi.org/10.7249/wr837.

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16

Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models, Second Edition. Taylor & Francis Group, 2016.

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17

Cheng, Russell. Embedded Model Problem. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0005.

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This chapter introduces embedded models. This is a special case of a parametric model which cannot be obtained simply by setting the parameters to particular values in a simple way. An example is the regression function y = b[1−exp(−ax)], which is always curved when a and b have fixed values. But letting a tend to zero and b tend to infinity simultaneously, whilst keeping ab = c fixed, yields y = cx, a straight-line special case. When this is the true model, fitting the original two-parameter model leads to very unstable and individually meaningless estimates of a and b. Such embedded models are actually very common in the literature, leading to confusion in interpretation of results when undetected. In this chapter, embeddedness is defined and a large number of regression embedded model examples given. Detection and removal of embeddedness by reparametrization is discussed. Two real data numerical examples are given.
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18

Faraway, Julian J. Extending the Linear Model with R: Generalized Linear, Mixed Effects and Nonparametric Regression Models (Texts in Statistical Science). Chapman & Hall/CRC, 2005.

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19

Hammond, Michael. Reward Allowances and Contrast Effects in Social Evolution. Edited by Rosemary L. Hopcroft. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190299323.013.8.

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Our evolutionary heritage of different reward allowances for different interests leaves us very responsive to social creations offering certain types of contrast effects. Zygmunt Bauman’s model of liquid modernity and its impact on more “solid” traditional cultures are examined in terms of changes in the use of these reward allowances on a mass scale as social structures offering the contrast impact of serial novelty are substituted for structures rooted in fixed high contrasts. From this perspective, liquid modernity may have a much deeper and lasting appeal than Bauman and other postmodern critics wish to be the case. Serial novelty is part of a pattern of social evolution rooted in our biological heritage of reward allowances and contrast effects.
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20

Zhang, H. Mesoscopic Structures and Their Effects on High-Tc Superconductivity. Edited by A. V. Narlikar. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198738169.013.12.

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This article presents the results of model calculations carried out to determine the mesoscopic structural features of high-temperature superconducting (HTS) crystal structures, and especially their characteristic high critical temperature (Tc) and anisotropy. The crystal structure of high-temperature superconductors (HTSc) is unique in having some mesoscopic features. For example, the structures of a majority of cuprite superconductors are comprised of two structural blocks, perovskite and rock salt, stacked along the c-direction. This article calculates the interaction between the perovskite and rock salt blocks in the form of combinative energy in order to elucidate the effects of mesoscopic structures on high-Tc superconductivity. Both X-ray diffraction and Raman spectroscopy show that a ‘fixed triangle’ exists in the samples under investigation. The article also examines the importance of electron–phonon coupling in high-Tc superconductors.
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21

Cheng, Russell. Indeterminacy. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198505044.003.0014.

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This chapter discusses models like the exponential regression model y = a[1− exp(− bx)] where if a = 0 then b is an indeterminate, non-identifiable parameter, as it vanishes from the model. The hypothesis test that H0 : a = 0 versus H1 : a ≠ 0 is then non-standard. The well-known Davies test is explained. This uses a portmanteau test statistic T that is a functional of Sn(b), L< b< U, where Sn(b) is a regular test statistic of the null hypothesis a = 0 versus the alternative a ≠ 0 with b fixed. The null distribution of T is not usually easy to obtain. One can instead just test if a = 0 using a GoF test or a lack-of-fit test with an alternative hypothesis not specified. In the exponential regression example, this means simply testing if the observations are solely pure error. This elementary approach is compared with the Davies approach.
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22

Aye, Goodness C., Laurence Harris, and Junior T. Chiweza. Monetary policy and wealth inequality in South Africa: Evidence from tax administrative data. UNU-WIDER, 2020. http://dx.doi.org/10.35188/unu-wider/2020/931-0.

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This paper examines the relationship between monetary policy and wealth inequality in South Africa. We employed a unique database of tax administrative data which allowed us to account for individual heterogeneity. These tax data span from 2011 to 2017 and include over 3 million individual taxpayers in South Africa after data cleaning. Results based on fixed- and random-effects panel model estimates show that monetary policy generally increases wealth Gini inequality while it decreases the wealth 90–10 percentile differential. Increasing asset prices and gross domestic product per capita generally increases wealth inequality, while inflation reduces wealth inequality. The effect of age on wealth distribution varies depending on whether a fixed- or random-effects panel model is considered. Based on the estimates and observed data, being male tends to increase wealth inequality.
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23

Rusten, Kristian A. Referential Null Subjects in Early English. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198808237.001.0001.

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This book offers a large-scale quantitative investigation of referential null subjects as they occur in Old, Middle, and Early Modern English. Using corpus linguistic methods, and drawing on five corpora of early English, the book empirically addresses the occurrence of subjectless finite clauses in more than 500 early English texts, and excerpts of texts, spanning nearly 850 years of the history of English. The book gives an in-depth quantitative analysis of c.80,000 overt and null referential pronominal subjects in 181 Old English texts. On the basis of this substantial data material, the book re-evaluates previous conflicting claims concerning the occurrence and distribution of null subjects in Old English. The book critically addresses the question of whether the earliest stage of English can be considered a canonical or partial pro-drop language. It also provides an empirical examination of the role played by central licensors of null subjects proposed in the theoretical literature, including verbal agreement and Aboutness topicality. The predictions of two important pragmatic accounts of null arguments are also tested. In order to provide a longitudinal perspective, results are provided from an investigation of c.139,000 overt and null referential pronominal subjects occurring in more than 300 Middle and Early Modern English texts and text samples. Throughout, the book builds its arguments by means of powerful statistical tools, including generalized fixed-effects and mixed-effects logistic regression modelling, and is the most comprehensive examination so far provided of null subjects in the history of English.
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24

Walsh, Bruce, and Michael Lynch. Long-term Response: 3. Adaptive Walks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198830870.003.0027.

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One model for long-term evolution is an adaptive walk, a series of fixations of mutations that moves the trait mean toward some optimal value. The foundation for this idea traces back to Fisher's geometric model, which showed that mutations of large effect are favored when a trait is far from its optimal, while smaller effects are favored as it approaches the optimal value. Under fairly general conditions, this results in a roughly exponential distribution of fixed adaptive effects. An alternative to trait-based walks are walks in fitness space, motivated by considering a series of mutations to improve the fitness of a particular sequence. In such settings, extreme value theory also suggests a roughly exponential distribution, now of fitness (instead of trait) effects, for mutations fixed during the walk. Much of this theory offers at least partial experimental testing, and this chapter describes not only the theory, but also some of the empirical work testing the models.
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25

Kritz, Mary M., and Douglas T. Gurak. International Student Mobility. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198815273.003.0011.

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This chapter examines the role that sending country structural factors play in influencing the proportion of tertiary students studying abroad. It examines how outbound mobility ratio (OMR) responds to sending county supply and demand for tertiary education, population size, per capital GDP, development, education expenditures, and other factors. In all Ordinary Least Squares (OLS) and fixed-effect model specifications, the OMR had a negative relationship to tertiary supply. While countries with larger populations send more students abroad, they have smaller OMRs. Fixed-effects models also showed that changes in tertiary supply and the percentage of GDP spent on tertiary education were negatively related to OMRs. The chapter reviews government scholarship programmes sponsored by Global South countries and the practices they pursue to encourage student return and strengthen tertiary capacity in science, technology, engineering, and mathematics (STEM). These programmes in developing countries in Africa, Asia, and Latin America are changing international student flows.
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26

Jones, Bradford S. Multilevel Models. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0026.

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This article addresses multilevel models in which units are nested within one another. The focus is primarily two-level models. It also describes cross-unit heterogeneity. Moreover, it assesses the fixed and random effects from the multilevel model. It generally tries to convey the scope of multilevel models but in a very compact way. Multilevel models provide great promise for exploiting information in hierarchical data structures. There are a range of alternatives for such data and it bears repeating that sometimes, simpler-to-apply correctives are best.
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27

Dixit, Avinash. Relation-Based Governance and Competition. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198812555.003.0015.

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If formal institutions of contract governance are absent or ineffective, traders try to substitute relational governance based on norms and sanctions. However, these alternatives need good information and communication concerning members’ actions; that works well only in relatively small communities. If there are fixed costs, the market has too few firms for perfect competition. The optimum must be a second best, balancing the effectiveness of contract governance and dead-weight loss of monopoly. This chapter explores this idea using a spatial model with monopolistic competition. It is found that relational governance constrains the size of firms and can cause inefficiently excessive entry, beyond the excess that already occurs in a spatial model without governance problems. Effects of alternative methods of improving governance to ameliorate this inefficiency are explored.
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28

Lee, Patricia, Donald Stewart, and Stephen Clift. Group Singing and Quality of Life. Edited by Brydie-Leigh Bartleet and Lee Higgins. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190219505.013.22.

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International research has broadly reported positive effects of singing on health. Choral singing, a social activity, can contribute to health and social and emotional well-being through enhancing individual and social variables, such as a sense of motivation, personal worth, concentration, and social engagement. This cross-sectional study aimed to establish a quantitative model to explain how multiple attributes of choral singing interact to impact on different dimensions of health and well-being. Using data from an Australian subsample within a multinational project, the results, from a series of stepwise hierarchical regression models, showed that choral singing benefited the choir members’ physical and psychological health and well-being through social engagement and a sense of positive identity. Choral singing also impacted social health and well-being positively by promoting feelings of excitement and importance to life, as well as longer duration of involvement in the choir. This study will contribute to developing targeted group singing or social activities to promote continued physical, psychological, and social health.
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