Open Access. Powered by Scholars. Published by Universities.®

Econometrics Commons™

Open Access. Powered by Scholars. Published by Universities.®

2,845 Full-Text Articles 2,730 Authors 2,587,827 Downloads 149 Institutions

All Articles in Econometrics

Faceted Search

2,845 full-text articles. Page 61 of 118.

Forecasting Large Covariance Matrix With High-Frequency Data: A Factor Correlation Matrix Approach, Yingjie DONG, Yiu Kuen TSE 2018 University of International Business and Economics

Forecasting Large Covariance Matrix With High-Frequency Data: A Factor Correlation Matrix Approach, Yingjie Dong, Yiu Kuen Tse

Research Collection School Of Economics

We propose a factor correlation matrix approach to forecast large covariance matrix of asset returns using high-frequency data. We apply shrinkage method to estimate large correlation matrix and adopt principal component method to model the underlying latent factors. A vector autoregressive model is used to forecast the latent factors and hence the large correlation matrix. The realized variances are separately forecasted using the Heterogeneous Autoregressive model. The forecasted variances and correlations are then combined to forecast large covariance matrix. We conduct Monte Carlo studies to compare the finite sample performance of several methods of forecasting large covariance matrix. Our proposed …


On Booms That Never Bust: Ambiguity In Experimental Asset Markets With Bubbles, Brice Corgnet, Roberto Hernán-González, Praveen Kujal 2018 Chapman University

On Booms That Never Bust: Ambiguity In Experimental Asset Markets With Bubbles, Brice Corgnet, Roberto Hernán-González, Praveen Kujal

ESI Working Papers

We study the effect of ambiguity on the formation of bubbles and on the occurrence of crashes in experimental asset markets à la Smith, Suchanek, and Williams (1988). We extend their framework to an environment where the fundamental value of the asset is ambiguous. We show that, when the fundamental value is ambiguous, asset prices tend to be lower than when it is risky although bubbles form in both the ambiguous and the risky environments. Additionally, bubbles do not crash in the ambiguous case whereas they do so in the risky one. These findings regarding depressed prices and the absence …


Determinants Of Parking Fees On College Campuses, Hannah Huckeby 2018 Murray State University

Determinants Of Parking Fees On College Campuses, Hannah Huckeby

Posters-at-the-Capitol

The price of parking has recently been a hot topic around the Murray area, especially among the college students. Due to the drastic increase in parking pass prices there has been an abundant amount of discussion surrounding this idea of parking being a public good. Many individuals have been outraged which has brought up the questions of why there is a price tag on something that many people consider a public good. With that being said, this paper is going to take a deeper look into parking specifically pertaining to college campuses but also in the cities surrounding these institutions. …


Conditional Independence In A Binary Choice Experiment, Nathaniel Wilcox 2018 Chapman University

Conditional Independence In A Binary Choice Experiment, Nathaniel Wilcox

ESI Working Papers

Experimental and behavioral economists, as well as psychologists, commonly assume conditional independence of choices when constructing likelihood functions for structural estimation. I test this assumption using data from a new experiment designed for this purpose. Within the limits of the experiment’s identifying restriction and designed power to detect deviations from conditional independence, conditional independence is not rejected. In naturally occurring data, concerns about violations of conditional independence are certainly proper and well-taken (for well-known reasons). However, when an experimenter employs contemporary state-of-the-art experimental mechanisms and designs, the current evidence suggests that conditional independence is an acceptable assumption for analyzing data …


Selection In The Lab: A Network Approach, Aleksandr Alekseev, Mikhail Freer 2018 Chapman University

Selection In The Lab: A Network Approach, Aleksandr Alekseev, Mikhail Freer

ESI Working Papers

We study the selection problem in economic experiments by focusing on its dynamic and network aspects. We develop a dynamic network model of student participation in a subject pool, which assumes that students' participation is driven by the two channels: the direct channel of recruitment and the indirect channel of student interaction. Using rich recruitment data from a large public university, we find that the patterns of participation and biases are consistent with the model. We also find evidence of both short- and long-run selection biases between males and females, as well as between cohorts of students. Males tend to …


The Econometric Analysis Of The Factors Affecting The Revenue Of Bangkok Port, Viyada Suriyakul Na Ayudhaya, Praew Ritthirungrat 2018 World Maritime University

The Econometric Analysis Of The Factors Affecting The Revenue Of Bangkok Port, Viyada Suriyakul Na Ayudhaya, Praew Ritthirungrat

World Maritime University Dissertations

No abstract provided.


Rhode Island Current Conditions Index -- November 2018, Leonard Lardaro 2018 University of Rhode Island

Rhode Island Current Conditions Index -- November 2018, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.


Identifying Latent Grouped Patterns In Cointegrated Panels, Wenxin HUANG, Sainan JIN, Liangjun SU 2018 Shanghai Jiaotong University

Identifying Latent Grouped Patterns In Cointegrated Panels, Wenxin Huang, Sainan Jin, Liangjun Su

Research Collection School Of Economics

We consider a panel cointegration model with latent group structures that allows for heterogeneous long-run relationships across groups. We extend Su, Shi, and Phillips’ (2016) classifier-Lasso (C-Lasso) method to the nonstationary panels and allow for the presence of endogeneity in both the stationary and nonstationary regressors in the model. In addition, we allow the dimension of the stationary regressors to diverge with the sample size. We show that we can identify the individuals’ group membership and estimate the group-specific long-run cointegrated relationships simultaneously. We demonstrate the desirable property of uniform classification consistency and the oracle properties of both the C-Lasso …


News Co-Occurrence, Attention Spillover, And Return Predictability, Li GUO, Lin PENG, Yubo TAO, Jun TU 2018 Singapore Management University

News Co-Occurrence, Attention Spillover, And Return Predictability, Li Guo, Lin Peng, Yubo Tao, Jun Tu

Research Collection School Of Economics

We examine the effect of investor attention spillover on stock return predictability. Using a novel measure, the News Network Triggered Attention index (NNTA), we find that NNTA negatively predicts market returns with a monthly in(out)-of-sample R-square of 5.97% (5.80%). In the cross-section, a long-short portfolio based on news co-occurrence generates a significant monthly alpha of 68 basis points. The results are robust to the inclusion of alternative attention proxies, sentiment measures, other news- and information-based predictors, across recession and expansion periods. We further validate the attention spillover effect by showing that news co-mentioning leads to greater increases in Google and …


Estimation Of Large Dimensional Factor Models With An Unknown Number Of Breaks, Shujie MA, Liangjun SU 2018 University of California, Riverside

Estimation Of Large Dimensional Factor Models With An Unknown Number Of Breaks, Shujie Ma, Liangjun Su

Research Collection School Of Economics

In this paper we study the estimation of a large dimensional factor model when the factor loadingsexhibit an unknown number of changes over time. We propose a novel three-step procedure to detect the breaks if any and then identify their locations. In the first step, we divide the whole time span into subintervals and fit a conventional factor model on each interval. In the second step, we apply the adaptive fused group Lasso to identify intervals containing a break. In the third step, we devise a grid search method to estimate the location of the break on each identified interval. …


Change Detection And The Causal Impact Of The Yield Curve, Shuping SHI, Peter C. B. PHILLIPS, Stan HURN 2018 Singapore Management University

Change Detection And The Causal Impact Of The Yield Curve, Shuping Shi, Peter C. B. Phillips, Stan Hurn

Research Collection School Of Economics

Causal relationships in econometrics are typically based on the concept of predictability and are established by testing Granger causality. Such relationships are susceptible to change, especially during times of financial turbulence, making the real-time detection of instability an important practical issue. This article develops a test for detecting changes in causal relationships based on a recursive evolving window, which is analogous to a procedure used in recent work on financial bubble detection. The limiting distribution of the test takes a simple form under the null hypothesis and is easy to implement in conditions of homoskedasticity and conditional heteroskedasticity of an …


Threshold Regression Asymptotics: From The Compound Poisson Process To Two-Sided Brownian Motion, Ping YU, Peter C. B. PHILLIPS 2018 University of Hong Kong

Threshold Regression Asymptotics: From The Compound Poisson Process To Two-Sided Brownian Motion, Ping Yu, Peter C. B. Phillips

Research Collection School Of Economics

The asymptotic distribution of the least squares estimator in threshold regression is expressed in terms of a compound Poisson process when the threshold effect is fixed and as a functional of two-sided Brownian motion when the threshold effect shrinks to zero. This paper explains the relationship between this dual limit theory by showing how the asymptotic forms are linked in terms of joint and sequential limits. In one case, joint asymptotics apply when both the sample size diverges and the threshold effect shrinks to zero, whereas sequential asymptotics operate in the other case in which the sample size diverges first …


The Grid Bootstrap For Continuous Time Models, Yiu Lim LUI, Weilin XIAO, Jun YU 2018 Singapore Management University

The Grid Bootstrap For Continuous Time Models, Yiu Lim Lui, Weilin Xiao, Jun Yu

Research Collection School Of Economics

This paper considers the grid bootstrap for constructing confidence intervals for the persistence parameter in a class of continuous time models driven by a Levy process. Its asymptotic validity is established by assuming the sampling interval (h) shrinks to zero. Its improvement over the in-fill asymptotic theory is achieved by expanding the coefficient-based statistic around its in fill asymptotic distribution which is non-pivotal and depends on the initial condition. Monte Carlo studies show that the gird bootstrap method performs better than the in-fill asymptotic theory and much better than the long-span theory. Empirical applications to U.S. interest rate data highlight …


Specification Tests Based On Mcmc Output, Yong LI, Jun YU, Tao ZENG 2018 Renmin University of China

Specification Tests Based On Mcmc Output, Yong Li, Jun Yu, Tao Zeng

Research Collection School Of Economics

Two test statistics are proposed to determine model specification after a model is estimated by an MCMC method. The first test is the MCMC version of IOSA test and its asymptotic null distribution is normal. The second test is motivated from the power enhancement technique of Fan et al. (2015). It combines a component (J1) that tests a null point hypothesis in an expanded model and a power enhancement component (J0) obtained from the first test. It is shown that J0 converges to zero when the null model is correctly specified and diverges when the null model is misspecified. Also …


Agglomeration And The Extent Of The Market: An Experimental Investigation Into Spatially Coordinated Exchange, Jordan Adamson 2018 Chapman University

Agglomeration And The Extent Of The Market: An Experimental Investigation Into Spatially Coordinated Exchange, Jordan Adamson

ESI Working Papers

How and why do agglomerations emerge? While economic historians emphasize trade and economic geographers emphasize variety, we still don’t understand the role of coordination. I fill this gap by extending the model of Fudenberg and Ellison (2003) to formalize Smith’s (1776) theory of agglomeration. I then test the model in a laboratory experiment and find individuals tend to coalesce purely to coordinate exchange, with more agglomeration when there is a larger variety of goods in the economy. I also find that tying individuals to the land reduces agglomeration, but magnifies the effect of variety.


The Effects Of Student-Teacher Ratio On Test Scores: Applying Ceteris Paribus To California And Massachusetts Schools, Laira Aggarwal 2018 Claremont McKenna College

The Effects Of Student-Teacher Ratio On Test Scores: Applying Ceteris Paribus To California And Massachusetts Schools, Laira Aggarwal

Undergraduate Economic Review

This paper seeks to analyze the impact of student-teacher ratio on test scores in California and Massachusetts. Since student-teacher ratio is just one of the variables affecting students’ learning outcomes, other attributes were taken into account for a comprehensive analysis. These attributes included percent of English learners, average district income, percent of students on free or reduced lunch, and expenditures per student. The data sets for both states were assessed both inherently and with ceteris paribus approach. The results indicated that while student-teacher ratio does affect test scores, other classroom variables have a significantly greater influence on students’ learning outcomes.


The Supply Side Determinants Of Territory And Conflict, Jordan Adamson, Erik O. Kimbrough 2018 Chapman University

The Supply Side Determinants Of Territory And Conflict, Jordan Adamson, Erik O. Kimbrough

ESI Working Papers

What determines the geographic extent of territory? We microfound and extend Boulding’s “Loss of Strength Gradient” to predict the extensive and intensive margins of conflict across space. We show how economies of scale in the production of violence and varying costs of projecting violence at a distance combine to affect the geographic distribution of conflict and territory. We test and probe the boundaries of this model in an experiment varying the fixed costs of conflict entry. As predicted, higher fixed costs increase the probability of exclusive territories; median behavior closely tracks equilibrium predictions in all treatments.


Experimental Research On Contests, Roman M. Sheremeta 2018 Chapman University

Experimental Research On Contests, Roman M. Sheremeta

ESI Working Papers

Costly competitions between economic agents are modeled as contests. Researchers use laboratory experiments to study contests and test comparative static predictions of contest theory. Commonly, researchers find that participants’ efforts are significantly higher than predicted by the standard Nash equilibrium. Despite overbidding, most comparative static predictions, such as the incentive effect, the size effect, the discouragement effect and others are supported in the laboratory. In addition, experimental studies examine various contest structures, including dynamic contests (such as multi-stage races, wars of attrition, tug-of-wars), multi-dimensional contests (such as Colonel Blotto games), and contests between groups. This article provides a short review …


Rhode Island Current Conditions Index -- October 2018, Leonard Lardaro 2018 University of Rhode Island

Rhode Island Current Conditions Index -- October 2018, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.


Preferences (Partial Pre-Orders) On Complex Numbers -- In View Of Possible Use In Quantum Econometrics, Songsak Sriboonchitta, Vladik Kreinovich, Olga Kosheleva 2018 Chiang Mai University

Preferences (Partial Pre-Orders) On Complex Numbers -- In View Of Possible Use In Quantum Econometrics, Songsak Sriboonchitta, Vladik Kreinovich, Olga Kosheleva

Departmental Technical Reports (CS)

In economic application, it is desirable to find an optimal solution -- i.e., a solution which is preferable to any other possible solution. Traditionally, the state of an economic system has been described by real-valued quantities such as profit, unemployment level, etc. For such quantities, preferences correspond to natural order between real numbers: all things being equal, the more profit the better, and the smaller unemployment, the better. Lately, it turned out that to adequately describe economic phenomena, it is often convenient to use complex numbers. From this viewpoint, a natural question is: what are possible orders on complex numbers? …


Digital Commons powered by bepress