Econometrics Commons^™

Corruption And Economic Growth In The Middle East And North Africa, Nour Chamseddine

Senior Theses and Projects

No abstract provided.

Deflation And Economic Output, Brian T. Love

Senior Theses and Projects

This paper will look at deflation and its relationship to economic output. This is an area of economic research that has received relatively little attention and, where it has, researchers disagree as to the how the two variables relate. In order to explore these questions, the following analysis will consider data from a sample of eight countries in VAR equations to look at the relationship between prices and economic output since the mid-1800s with control variables to limit potential omitted variable bias, and Granger-causality testing as well as impulse response testing to further analyze obtained results. The resulting analysis provides …

Rhode Island Current Conditions Index -- April 2016, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Disentangling Greenhouse Warming And Aerosol Cooling To Reveal Earth's Climate Sensitivity, T. Storelvmo, T. Leirvik, U. Lohmann, Peter C. B. Phillips, M. Wild

Research Collection School Of Economics

Earth's climate sensitivity has long been subject to heated debate and has spurred renewed interest after the latest IPCC assessment report suggested a downward adjustment of its most likely range(1). Recent observational studies have produced estimates of transient climate sensitivity, that is, the global mean surface temperature increase at the time of CO2 doubling, as low as 1.3 K (refs 2,3), well below the best estimate produced by global climate models (1.8 K). Here, we present an observation-based study of the time period 1964 to 2010, which does not rely on climate models. The method incorporates observations of greenhouse gas …

Macroconstants Of Development: A New Benchmark For The Strategic Development Of Advanced Countries And Firms, Andrey Bystrov, Vyacheslav Yusim, Tamilla Curtis

Dr. Tamilla Curtis

This research proposed a new indicator of countries’ development called “macroconstants of development”. The literature review indicates that the concept of "macroconstants of development" is not used at the moment in neither the theory nor the practice of industrial policy. Research of longitudinal data of total GDP, GDP per capita and their derivatives for most countries of the world was conducted. An analysis of statistical information has been done by employing econometric analyses.

Based on the analysis of the statistical data, which characterizes the development of large, technologically advanced countries in ordinary conditions, it was identified that the average acceleration …

The Impact Of Lending Rate On The Manufacturing Sector In Nigeria, D. B. Akpan, D. J. Yilkudi, D. C. Opiah

Economic and Financial Review

The study investigates the impact of lending rate on output of the manufacturing subsector using the Vector Error Correction Model (VECM) and annual data from 1981- 2014. The empirical results indicated that high lending rate had negative impact on manufacturing output in the long-run. This suggests that increase in lending rate undermines manufacturing output, thus retarding growth in the real sector. Specifically, the estimates revealed that a 1.0 per cent increase in lending rate reduces manufacturing output by 0.03 per cent. The study, therefore, recommends the implementation of investment friendly policies that narrows the lending rate by the deposit money …

Rhode Island Current Conditions Index -- March 2016, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Prices, Markups, And Trade Reform, Jan De Loecker, Pinelopi K. Goldberg, Amit K. Khandelwal, Nina Pavcnik

Dartmouth Scholarship

This paper examines how prices, markups, and marginal costs respond to trade liberalization. We develop a framework to estimate markups from production data with multi‐product firms. This approach does not require assumptions on the market structure or demand curves faced by firms, nor assumptions on how firms allocate their inputs across products. We exploit quantity and price information to disentangle markups from quantity‐based productivity, and then compute marginal costs by dividing observed prices by the estimated markups. We use India's trade liberalization episode to examine how firms adjust these performance measures. Not surprisingly, we find that trade liberalization lowers factory‐gate …

Asymptotic Power Of The Sphericity Test Under Weak And Strong Factors In A Fixed Effects Panel Data Model, Badi H. Baltagi, Chihwa Kao, Fa Wang

Center for Policy Research

This paper studies the asymptotic power for the sphericity test in a fixed effect panel data model proposed by Baltagi, Feng and Kao (2011), (JBFK). This is done under the alternative hypotheses of weak and strong factors. By weak factors, we mean that the Euclidean norm of the vector of the factor loadings is O(1). By strong factors, we mean that the Euclidean norm of the vector of factor loadings is O(pn), where n is the number of individuals in the panel. To derive the limiting distribution of JBFK under the alternative, we first derive the limiting distribution of its …

Shrinkage Estimation Of Common Breaks In Panel Data Models Via Adaptive Group Fused Lasso, Junhui Qian, Liangjun Su

Research Collection School Of Economics

In this paper we consider estimation and inference of common breaks in panel data models via adaptive group fused Lasso. We consider two approaches—penalized least squares (PLS) for first-differenced models without endogenous regressors, and penalized GMM (PGMM) for first-differenced models with endogeneity. We show that with probability tending to one, both methods can correctly determine the unknown number of breaks and estimate the common break dates consistently. We establish the asymptotic distributions of the Lasso estimators of the regression coefficients and their post Lasso versions. We also propose and validate a data-driven method to determine the tuning parameter used in …

Sieve Instrumental Variable Quantile Regression Estimation Of Functional Coefficient Models, Liangjun Su, Tadao Hoshino

Research Collection School Of Economics

In this paper we consider sieve instrumental variable quantile regression (IVQR) estimation of functional coefficient models where the coefficients of endogenous regressors are unknown functions of some exogenous covariates. We estimate the functional coefficients by the sieve-IVQR technique and establish the uniform consistency and asymptotic normality of the estimators. Based on the sieve estimates, we propose a nonparametric specification test for the constancy of the functional coefficients and study its asymptotic. We conduct simulations to evaluate the finite sample behavior of our estimator and test statistic, and apply our method to study the estimation of quantile Engel curves.

Model Selection For Explosive Models, Yubo Tao, Jun Yu

Research Collection School Of Economics

This paper examines the limit properties of information criteria for distinguishing between the unit root model and the various kinds of explosive models. The information criteria include AIC, BIC, HQIC. The explosive models include the local-to-unit-root model, the mildly explosive model and the regular explosive model. Initial conditions with different order of magnitude are considered. Both the OLS estimator and the indirect inference estimator are studied. It is found that BIC and HQIC, but not AIC, consistently select the unit root model when data come from the unit root model. When data come from the local-to-unit-root model, both BIC and …

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 loadings exhibit 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 …

The Effects Of Alcohol Use On Economic Decision Making, Klajdi Bregu, Cary Deck, Lindsay Ham, Salar Jahedi

ESI Working Papers

It is notoriously hard to study the effect of alcohol on decision making, given the selection that takes place in who drinks alcohol and when they choose to do so. In a controlled laboratory experiment, we study the causal effect of alcohol on economic decision making. We examine the impact of alcohol on the following types of tasks: math and logic, uncertainty, overconfidence, strategic games, food choices, anchoring, and altruism. Our results indicate that alcohol consumption, as measured by the blood alcohol concentration (BAC), increases cooperation in strategic settings and altruism in Dictator games. We do not find any effects …

Optimal Tilts, Malcom Baker, Terence C. Burnham, Ryan Taliaferro

ESI Working Papers

We examine the optimal weighting of four characteristic tilts in US equity markets over the period from 1968 through 2014. We define a “tilt” as a positive-Sharpe-ratio, characteristicbased portfolio strategy that requires relatively low annual turnover and a “trade” as a characteristic-based portfolio strategy that requires relatively high annual turnover and liquidity demands. Size is a tilt, because of its very low turnover; high frequency reversal is a trade. This dichotomy is necessary to make practical use of Fama-French style factor regressions. Unlike low-turnover tilts, a full history of transaction costs and an estimate of capacity is critical to determine …

Granger Causality And Structural Causality In Cross-Section And Panel Data, Xun Lu, Liangjun Su, Halbert White

Research Collection School Of Economics

Granger non-causality in distribution is fundamentally a probabilistic conditional independence notion that can be applied not only to time series data but also to cross-section and panel data. In this paper, we provide a natural definition of structural causality in cross-section and panel data and forge a direct link between Granger (G-) causality and structural causality under a key conditional exogeneity assumption. To put it simply, when structural effects are well defined and identifiable, G- non-causality follows from structural non-causality, and with suitable conditions (e.g., separability or monotonicity), structural causality also implies G-causality. This justifies using tests of G- non-causality …

Common Threshold In Quantile Regressions With An Application To Pricing For Reputation, Liangjun Su, Pai Xu, Heng Ju

Research Collection School Of Economics

The paper develops a systematic estimation and inference procedure for quantile regression models where there may exist a common threshold effect across different quantile indices. We first propose a sup-Wald test for the existence of a threshold effect, and then study the asymptotic properties of the estimators in a threshold quantile regression model under the shrinking-threshold-effect framework. We consider several tests for the presence of a common threshold value across different quantile indices and obtain their limiting distributions. We apply our methodology to study the pricing strategy for reputation via the use of a dataset from Taobao.com. In our economic …

Prediction In A Generalized Spatial Panel Data Model With Serial Correlation, Badi H. Baltagi, Long Liu

Center for Policy Research

This paper considers the generalized spatial panel data model with serial correlation proposed by Lee and Yu (2012) which encompasses a lot of the spatial panel data models considered in the literature, and derives the best linear unbiased predictor (BLUP) for that model. This in turn provides valuable BLUP for several spatial panel models as special cases.

Rhode Island Current Conditions Index -- February 2016, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

Firms' Decisions To Enter A Market Of Highly Differentiated Products: Apparel Industry And New York Fashion Week, Yoko Katagiri

Dissertations, Theses, and Capstone Projects

This dissertation deals with economic aspects of the fashion industry. It begins with a discussion of the complex industrial organization aspects of the industry. A wealth of information in this area has been assembled and is presented for the first time. The focus is on the high-end fashion market: how it started, how it works, New York Fashion Week, and its significance for the industry. Then a comprehensive review of the economics literature as it pertains to the industry is presented, also for the first time. The empirical sections of the dissertation contain estimates of demand functions for apparel and …