Econometrics Commons^™

Multi-Dimensional Analysis Of Public Transfer Payment Policy In Malaysia, Amirullah Muhammad Adli

Student Works (2020-2029)

The impact of public transfer payment is dynamic, whereby it has shown separately that it can affect the income of the poor, aggregate consumption, economics outputs, education level of the poor and unemployment. However, there is a gap in previous public transfer payment analysis where all previous literature used Ceteris Paribus assumption that means “other things equal” as the central assumption when conducting the study. Nonetheless, Ceteris Paribus assumption is unable to capture the complex economic phenomena of the real world since it assumes other variables constant when analysing the selected variables. Hence, the introduction of Omnia Mobilis assumption that …

Forecasting Singapore Gdp Using The Spf Data, Tian Xie, Jun Yu

Research Collection School Of Economics

In this article, we use econometric methods, machine learning methods, and a hybrid method to forecast the GDP growth rate in Singapore based on the Survey of Professional Forecasters (SPF). We compare the performance of these methods with the sample median used by the Monetary Authority of Singapore (MAS). It is shown that the relationship between the actual GDP growth rates and the forecasts from individual professionals is highly nonlinear and non-additive, making it hard for all linear methods and the sample median to perform well. It is found that the hybrid method performs the best, reducing the mean squared …

In-Fill Asymptotic Theory For Structural Break Point In Autoregressions, Liang Jiang, Xiaohu Wang, Jun Yu

Research Collection School Of Economics

This article obtains the exact distribution of the maximum likelihood estimator of structural break point in the Ornstein-Uhlenbeck process when a continuous record is available. The exact distribution is asymmetric, tri-modal, dependent on the initial condition. These three properties are also found in the finite sample distribution of the least squares (LS) estimator of structural break point in autoregressive (AR) models. Motivated by these observations, the article then develops an in-fill asymptotic theory for the LS estimator of structural break point in the AR(1) coefficient. The in-fill asymptotic distribution is also asymmetric, tri-modal, dependent on the initial condition, and delivers …

Quantile Treatment Effects And Bootstrap Inference Under Covariate-Adaptive Randomization, Yichong Zhang, Xin Zheng

Research Collection School Of Economics

In this paper, we study the estimation and inference of the quantile treatment effect under covariate‐adaptive randomization. We propose two estimation methods: (1) the simple quantile regression and (2) the inverse propensity score weighted quantile regression. For the two estimators, we derive their asymptotic distributions uniformly over a compact set of quantile indexes, and show that, when the treatment assignment rule does not achieve strong balance, the inverse propensity score weighted estimator has a smaller asymptotic variance than the simple quantile regression estimator. For the inference of method (1), we show that the Wald test using a weighted bootstrap standard …

Strategic Problems With Risky Prospects, Alessandro Sontuoso, Cristina Bicchieri, Alexander Funcke, Einav Hart

ESI Working Papers

We study “hypothetical reasoning” in games where the impact of risky prospects (chance moves with commonly-known conditional probabilities) is compounded by strategic uncertainty. We embed such games in an environment that permits us to verify if risk-taking behavior is affected by information that reduces the extent of strategic uncertainty. We then test some implications of expected utility theory, while making minimal assumptions about individuals’ (risk or ambiguity) attitudes. Results indicate an effect of the information on behavior: this effect is triggered in some cases by a belief-revision about others’ actions, and in other cases by a reversal in risk …

Impacts Of Rift Valley Fever Virus: A One Health Approach To Assess Burden And Inform Prevention And Control Options, Catherine Machalaba

Dissertations and Theses

Background: Rift Valley Fever (RVF) is a climate-sensitive emerging zoonotic disease associated with large-scale livestock production losses and human disease burden in Sub-Saharan Africa and the Middle East. While recognized as a key One Health issue based on its transmission dynamics involving human, animal and environmental determinants, there has been poor coordination between sectors to reduce the risk and impact of RVF. Efforts to counter the disease remain largely reactive, presenting an ongoing threat to local and global health security. The intent of this dissertation was to improve understanding of the burden of RVF across society and to identify entry …

Rhode Island Current Conditions Index -- June 2020, Leonard Lardaro

The Rhode Island Current Conditions Index

No abstract provided.

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, Econometrica 84(6), 2215-2264) 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 …

Essays On Time Series And Financial Econometrics, Yijie Fei

Dissertations and Theses Collection (Open Access)

This dissertation contains four essays in financial econometrics. In the first essay, some asymptotic results are derived for first-order autoregression with a root moderately deviating from unity and a nonzero drift. It is shown that the drift changes drastically the large sample properties of the least-squares (LS) estimator. The second essay is concerned with the joint test of predictability and stability in the context of predictive regression. The null hypothesis under investigation is that the potential predictors exhibit no predictability and incur no structural break during the sample period. We first show that the IVX estimator provides better finite sample …

Analysis Of The Causal Link Between Economic Growth And Development In Nigeria (1960-2019), Muhammad Umar

Bullion

Taking cognizant of Nigeria's recent policies toward translating growth to meaningful development, this study aimed at analysing causality amid economic growth and development using annual series from 1960-2019.The study engaged vector autoregressive method by embracing Toda and Yamamoto 1995 model. The results reveals a bidirectional causality between economic growth and dependency ratio; population growth rate and economic growth and also it reveals the evidence of uni-directional causality from dependency ratio to life expectancy and from population growth to life expectancy. But economic growth and life expectancy as well as dependency ratio and life expectancy does not present evidence of causality.

Capital Adequacy Requirement And Bank Behaviour In Nigeria, Baba Nmadu Yaaba, Lailah G. Sanusi

Bullion

The divergent views on the usefulness of capital adequacy ratio (CAR) in controlling the risk appetite of banks necessitates further research on its efficiency and effectiveness. Whereas proponents of CAR believe that it enhances the soundness and stability of the banking system, opponents contend that it can impedes on the intermediating capabilities of banks and possibly ignites credit crunch that could induce fall in the level of output. This study empirical verifies the infuence of CAR on the behavior of banks in Nigeria. The study adopts a system of simultaneous equation, in the tradition of Maraghni (2017) using Generalized Method …

The Impact Of External Debt On Agricultural Production In Nigeria (1980-2016): Autoregressive Distributed Lag Modelling, Aishatu U. Yerima, Hussaini M. Tahir

Bullion

The study analyzed the impact of external debt on Nigeria's agricultural production from 1980 to 2016 using secondary data obtained from Central Bank of Nigeria (CBN) statistical bulletin and the World Development Indicators (WDI). Augmented DickeyFuller unit root test and the autoregressive distributed lag (ARDL) bound testing approach to co-integration were utilized, to achieve the objectives of the study. Empirical results revealed that the variables were cointegrated, indicating that they exhibited long run relationship, both in the short and the long run. External debt stock (EDS) had a significant positive impact on agricultural production (AGP), indicating that EDS positively impacted …

Inequality In Foraging And Farming Societies: An Experimental Approach, Antonio J. Morales, Ismael Rodriguez-Lara

ESI Working Papers

We propose two games that resemble the conditions of human societies before and after the Neolithic agricultural revolution to test the hypothesis that the modes of production affected the level of inequality. We replicate the findings that foraging societies organized themselves around social division of labour and were more egalitarian than farming societies. We also find evidence that i) the transition from foraging to farming societies was heterogeneous, with groups that quickly adopted the agricultural practice and others that never experienced it, and ii) inequality in farming societies increases as agriculture settles. Our experimental data further suggest that the transition …

Religion In Economic History: A Survey, Sascha O. Becker, Jared Rubin, Ludger Woessmann

ESI Working Papers

This chapter surveys the recent social science literature on religion in economic history, covering both socioeconomic causes and consequences of religion. Following the rapidly growing literature, it focuses on the three main monotheisms—Judaism, Christianity, and Islam—and on the period up to WWII. Works on Judaism address Jewish occupational specialization, human capital, emancipation, and the causes and consequences of Jewish persecution. One set of papers on Christianity studies the role of the Catholic Church in European economic history since the medieval period. Taking advantage of newly digitized data and advanced econometric techniques, the voluminous literature on the Protestant Reformation studies its …

Trust And Trustworthiness After Negative Random Shocks, Hernán Bejarano, Joris Gillet, Ismael Rodriguez-Lara

ESI Working Papers

We investigate experimentally the effect of a negative endowment shock in a trust game to assess whether different causes of inequality have different effects on trust and trustworthiness. In our trust game there may be inequality in favor of the second mover and this may (or may not) be the result of a negative random shock (i.e., the outcome of a die roll) that decreases the endowment of the first-mover. Our findings suggest that inequality leads to differences in behavior. First-movers send more of their endowment and second-movers return more when there is inequality. However, we do not find support …

Trade Facilitation And Tariff Evasion, Cosimo Beverelli, Rohit Ticku

ESI Working Papers

This paper investigates the extent to which trade facilitation measures included in the WTO Trade Facilitation Agreement affect tariff evasion. In a dataset covering 121 countries and the whole set of HS6 product categories in 2012, 2015, and 2017, the paper shows that trade facilitation measures that improve legal certainty for traders moderate tariff evasion. Holding tariff rate constant at its mean, one standard deviation improvement in trade facilitation measures related to legal certainty reduces tariff evasion, as measured by missing imports in trade statistics, by almost 12%. In a counterfactual with full trade liberalization, countries with higher scores on …

Estimating Selection Models Without Instrument With Stata, Xavier D’Haultfœuille, Arnaud Maurel, Xiaoyun Qiu, Yichong Zhang

Research Collection School Of Economics

This article presents the eqregsel command for implementing the estimationand bootstrap inference of sample selection models via extremal quantile regression. The command estimates a semiparametric sample selection model withoutinstrument or large support regressor, and outputs the point estimates of the ho-mogenous linear coefficients, their bootstrap standard errors, as well as the p-valuefor a specification test.

Deviance Information Criterion For Latent Variable Models And Misspecified Models, Yong Li, Jun Yu, Tao Zeng

Research Collection School Of Economics

Deviance information criterion (DIC) has been widely used for Bayesian model comparison, especially after Markov chain Monte Carlo (MCMC) is used to estimate candidate models. This paper first studies the problem of using DIC to compare latent variable models when DIC is calculated from the conditional likelihood. In particular, it is shown that the conditional likelihood approach undermines theoretical underpinnings of DIC. A new version of DIC, namely DICL, is proposed to compare latent variable models. The large sample properties of DICL are studied. A frequentist justification of DICL is provided. Like AIC, DICL provides an asymptotically unbiased estimator to …

Identifying Latent Grouped Patterns In Conintegrated 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, Econometrica 84(6), 2215-2264) 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 …

Essays In Macroeconomics Of Emerging Markets, Miguel Acosta Henao

Dissertations, Theses, and Capstone Projects

Chapter 1. Law enforcement and the size of the informal sector.

I assemble new cross-country evidence showing that contrary to the standard view, the relationship between the size of the informal sector and tax rates is, at best, ambiguous. Law enforcement and informality also show no clear relation. Motivated by these findings, I augment a standard two-sector (formal and informal) small open economy model with endogenous law enforcement that depends on the size of the informal sector (measured by its assets) and government expenditure. I use a micro-dataset from Colombia to show that both taxes and law enforcement are necessary …