Relevant bibliographies by topics / Simultaneity Bias

Academic literature on the topic 'Simultaneity Bias'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Simultaneity Bias"

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Jameson, Mel, James D. Shilling, and C. F. Sirmans. "REGIONAL VARIATION OF MORTGAGE YIELDS AND SIMULTANEITY BIAS." Journal of Financial Research 13, no. 3 (September 1990): 211–19. http://dx.doi.org/10.1111/j.1475-6803.1990.tb00551.x.

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Stroh, Michael C., Ylva M. Pihlström, and Lorant O. Sjouwerman. "Simultaneity and Flux Bias between 43 and 86 GHz SiO Masers." Proceedings of the International Astronomical Union 13, S336 (September 2017): 399–400. http://dx.doi.org/10.1017/s1743921317010109.

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AbstractUsing quasi-simultaneous observations of 86 stars with known SiO maser emission, we searched for systematic differences between the strengths of the 43 and 86 GHz v=1 maser lines. Although for individual stars there is wide scatter between the line strengths spanning nearly an order of magnitude, there is no evidence of a systematic difference between these line strengths for the entire sample.
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Luo, R., J. Hay, and C. Hsiao. "RM1: CONTROLLING FOR SIMULTANEITY BIAS IN OUTCOME STUDIES USING PANEL DATA." Value in Health 2, no. 3 (May 1999): 137. http://dx.doi.org/10.1016/s1098-3015(11)70845-2.

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Green, Donald Philip. "The Effects of Measurement Error on Two-Stage, Least-Squares Estimates." Political Analysis 2 (1990): 57–74. http://dx.doi.org/10.1093/pan/2.1.57.

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Two-stage least squares (2SLS) is a statistical procedure that is used to correct for simultaneity bias and errors in variables. When applied to certain kinds of models, however, 2SLS is itself susceptible to bias as a result of random and nonrandom measurement error in the data. Using data from the 1980 Center for Political Studies panel, I show how different assumptions about measurement error produce radically different impressions about the reciprocal relationship between party identification and presidential performance evaluations.
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Migliorati, Daniele, Filippo Zappasodi, Mauro Gianni Perrucci, Brunella Donno, Georg Northoff, Vincenzo Romei, and Marcello Costantini. "Individual Alpha Frequency Predicts Perceived Visuotactile Simultaneity." Journal of Cognitive Neuroscience 32, no. 1 (January 2020): 1–11. http://dx.doi.org/10.1162/jocn_a_01464.

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Temporal encoding is a key feature in multisensory processing that leads to the integration versus segregation of perceived events over time. Whether or not two events presented at different offsets are perceived as simultaneous varies widely across the general population. Such tolerance to temporal delays is known as the temporal binding window (TBW). It has been recently suggested that individual oscillatory alpha frequency (IAF) peak may represent the electrophysiological correlate of TBW, with IAF also showing a wide variability in the general population (8–12 Hz). In our work, we directly tested this hypothesis by measuring each individual's TBW during a visuotactile simultaneity judgment task while concurrently recording their electrophysiological activity. We found that the individual's TBW significantly correlated with their left parietal IAF, such that faster IAF accounted for narrower TBW. Furthermore, we found that higher prestimulus alpha power measured over the same left parietal regions accounted for more veridical responses of non-simultaneity, which may be explained either by accuracy in perceptual simultaneity or, alternatively, in line with recent proposals by a shift in response bias from more conservative (high alpha power) to more liberal (low alpha power). We propose that the length of an alpha cycle constrains the temporal resolution within which perceptual processes take place.
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Swamy, Paravastu Ananta Venkata Bhattanatha, I.-Lok Chang, Peter von zur Muehlen, and Amit Achameesing. "The Role of Coefficient Drivers of Time-Varying Coefficients in Estimating the Total Effects of a Regressor on the Dependent Variable of an Equation." Journal of Risk and Financial Management 15, no. 8 (July 27, 2022): 331. http://dx.doi.org/10.3390/jrfm15080331.

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Typically, the explanatory variables included in a regression model, in conjunction with the omitted relevant regressors implied by the usual error term, have both direct and indirect effects on the dependent variable. Attempts to obtain their separate estimates have been plagued with simultaneity issues. To circumvent these problems, this paper defines their sum as “total effects”, develops a time-varying coefficients methodology for their estimation without simultaneity bias, and applies these techniques to estimate the total effects of commercial bank credit per-capita on real GDP per-capita in Mauritius. An innovation is the introduction of extraneous variables that act as “coefficient drivers” chosen on the basis of best predictive performance, as measured by the smallest value of Theil’s U-statistic we were able to locate in the estimation.
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Geishecker, Ingo. "Simultaneity bias in the analysis of perceived job insecurity and subjective well-being." Economics Letters 116, no. 3 (September 2012): 319–21. http://dx.doi.org/10.1016/j.econlet.2012.03.018.

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HASAN, SYED. "GREAT ENGINES TURN ON SMALL PIVOTS: A PRODUCTIVITY ANALYSIS OF SMALL-SCALE MANUFACTURING IN PUNJAB, PAKISTAN." Journal of Developmental Entrepreneurship 23, no. 03 (September 2018): 1850014. http://dx.doi.org/10.1142/s1084946718500140.

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This paper uses estimates of total factor productivity of small enterprises to identify the reasons underlying idiosyncratic variation. Empirical analysis is used to segregate internal and external determinants of productivity using a novel dataset. For reliable estimation, the baseline estimates are corrected for simultaneity bias using instrumental variables and selectivity bias through Heckman correction. Results identify significance of factors operating within firms; educational qualification and professional training of entrepreneurs for higher levels of productivity and the external drivers of productivity differences; sources of energy, selective access to credit and agglomeration economies. The research has important implications for entrepreneurs and policy intervention.
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LAVÍN, FELIPE VÁSQUEZ, JORGE DRESDNER, and RENATO AGUILAR. "The value of air quality and crime in Chile: a hedonic wage approach." Environment and Development Economics 16, no. 3 (February 4, 2011): 329–55. http://dx.doi.org/10.1017/s1355770x10000483.

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ABSTRACTWe estimate the implicit prices of the crime rate and airborne pollution in Chile, using spatially compensating price differentials in the housing and labor markets. We evaluate empirically the impact of different estimation strategies for the wage and rent equations, on the economic value of these two amenities. The results show that increments in the crime rate or in air pollution have a negative impact on welfare and that the estimated welfare measures and their variances are sensitive to selection bias, endogenous amenities and clustering effects. In contrast, the welfare measures do not seem to be very sensitive to the simultaneity bias.
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EZEIBEKWE, OBINNA FRANKLIN. "FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH IN THE PRESENCE OF SIMULTANEITY BIAS: PANEL DATA EVIDENCE." Review of Economic and Business Studies 13, no. 1 (2020): 47–67. http://dx.doi.org/10.1515/rebs-2020-0103.

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Dissertations / Theses on the topic "Simultaneity Bias"

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Whang, Chloe. "Simultaneity Bias in Campaign Spending Games." Scholarship @ Claremont, 2013. http://scholarship.claremont.edu/cmc_theses/770.

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In this paper, I replicate Erikson and Palfrey (2000) who propose that the simultaneity problem in measuring the effects of candidate spending can be resolved by restricting the sample to close elections. Vote-on-spending effects, which vary with the expected closeness of the election outcome in a systematic way, determine the extent of simultaneity bias. The simultaneity bias becomes progressively more severe as the anticipated vote margin decreases, plaguing the estimates of spending-on-vote effects on the full sample. In the range of a 50-50 expected vote, however, the vote-on-spending effects approach zero. Thus, by restricting the sample to extremely close races, I obtain unbiased estimates of candidate spending effects. I then extend their model using data that includes elections that took place after a pair of major campaign finance reforms: the Bipartisan Campaign Reform Act of 2002 and the Citizens United v. Federal Election Commission ruling of 2010. The BCRA heightens the perceived effectiveness of candidate spending by removing the hidden substitute for candidates’ campaign funds, namely, soft money. After the Citizens United ruling, however, as soft money starts to play a crucial role in electoral campaigns, candidates’ own funds matter less. The ruling appears to amplify incumbency advantage, perhaps because incumbents take advantage of their non-monetary incumbency benefits to attract soft money donations. This paper contributes to the ongoing debate in academia over the causal connection between candidate spending and vote share by presenting evidence that campaign spending has significant effects on election outcomes.
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Conference papers on the topic "Simultaneity Bias"

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Christiansen, Anders Harboell, Emil Gensby, and Bryan S. Weber. "Resolving Simultaneity Bias: Using Features to Estimate Causal Effects in Competitive Games." In 2019 IEEE Conference on Games (CoG). IEEE, 2019. http://dx.doi.org/10.1109/cig.2019.8848059.

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You might also be interested in the extended bibliographies on the topic 'Simultaneity Bias' for particular source types:
Journal articles
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