1,955 research outputs found

    The silence of corruption : identifying underreporting of business corruption through randomized response techniques

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    Research on the economic consequences of corruption has been hampered by the inability to directly measure corruption. Using an innovative methodology that allows respondents to report individual experiences with corruption while minimizing self-incrimination and an objective diagnostic to evaluate lying (false responses), this paper explores the extent of business corruption in Bangladesh. The analysis shows that traditional measures of corruption underreport the extent of business corruption in Bangladesh and existing strategies to evaluate and elicit truthful responses have limited effectiveness. The authors identify the types of firms that are associated with false responses and nonresponses to survey questions on corruption.Public Sector Corruption&Anticorruption Measures,Bankruptcy and Resolution of Financial Distress,Social Accountability,Corruption&Anticorruption Law,Poverty Monitoring&Analysis

    Heard melodies are sweet, but those unheard are sweeter : understanding corruption using cross-national firm-level surveys

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    Since the early 1990s, a large number of studies have been undertaken to understand the causes and consequences of corruption. Many of these studies have employed firm-level survey data from various countries. While insightful, these analyses based on firm-level surveys have largely ignored two important potential problems: nonresponse and false response by the firms. Treating firms'responses on a sensitive issue like corruption at their face value could produce incorrect inferences and erroneous policy recommendations. We argue that the data generation of nonresponse and false response is a function of the political environment in which the firms operate. In a politically repressive environment, firms use nonresponse and false response as self-protection mechanisms. Corruption is understated as a result. We test our arguments using the World Bank enterprise survey data of more than 44,000 firms in 72 countries for the period 2000-2005 and find that firms in countries with less press freedom are more likely to provide nonresponse or false response on the issue of corruption. Therefore, ignoring this systematic bias in firms'responses could result in underestimation of the severity of corruption in politically repressive countries. More important, this bias is a rich and underutilized source of information on the political constraints faced by the firms. Nonresponse and false response, like unheard melodies, could be more informative than the heard melodies in the available truthful responses in firm surveys.Public Sector Corruption&Anticorruption Measures,Microfinance,Access to Finance,Poverty Monitoring&Analysis,Social Accountability

    FDI incentives pay—politically

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    The authors find that there are strong political benefits to attracting FDI at the state-level in the United States, and that fiscal incentives for attracting such investment, regardless of their effectiveness, may be a strategic political tool for state politicians

    Modeling Foreign Direct Investment as a Longitudinal Social Network

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    An extensive literature in international and comparative political economy has focused on the how the mobility of capital affects the ability of governments to tax and regulate firms. The conventional wisdom holds that governments are in competition with each other to attract foreign direct investment (FDI). Nation-states observe the fiscal and regulatory decisions of competitor governments, and are forced to either respond with policy changes or risk losing foreign direct investment, along with the politically salient jobs that come with these investments. The political economy of FDI suggests a network of investments with complicated dependencies. We propose an empirical strategy for modeling investment patterns in 24 advanced industrialized countries from 1985-2000. Using bilateral FDI flow and stock data, we examine the nature of the networks in relation to a set of covariates - in particular differences in tax rates between pairs of nations. Our statistical model is based on the methodology developed by Hoff (2005), Westveld (2007), Westveld and Hoff (2009b). The model allows the temporal examination of each nation\u27s activity level in investing and attractiveness to investors. Additionally, the model considers the temporal examination of reciprocity between pairs of nations, as well as the notion of clusterability. For both the flow and stock data, there exist a data set based on reports from senders (out-reported-data) and a data set based on reports from receivers (in-reported-data). We extend the model by treating these two data sets as independent replicates (for the flow and stock data separately), conditional on a mean parameter representing an underlying value of FDI, along with random effects within the variance portion of the distribution of the response that allows for discrepancy between the two data points (in and out data). Using a fully Bayesian approach, we also impute the missing data within a MCMC algorithm used to fit the model

    A new transfer-matrix algorithm for exact enumerations: Self-avoiding polygons on the square lattice

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    We present a new and more efficient implementation of transfer-matrix methods for exact enumerations of lattice objects. The new method is illustrated by an application to the enumeration of self-avoiding polygons on the square lattice. A detailed comparison with the previous best algorithm shows significant improvement in the running time of the algorithm. The new algorithm is used to extend the enumeration of polygons to length 130 from the previous record of 110.Comment: 17 pages, 8 figures, IoP style file