Spatial Differencing: Estimation and Inference
نویسندگان
چکیده
منابع مشابه
Structural Differencing Estimation with Nonlinear Budget Sets
I develop a reform evaluation method for evaluating labor supply in nonlinear budget sets which is both structural and quasi-experimental. The model only requires preferences to be convex on the budget frontier and results in a simple three-dimensional labor supply function. The estimation exploits only the between-individual variation provided by tax reforms. I apply the method to evaluate ear...
متن کاملImproved Spatial Differencing Scheme for 2-D DOA Estimation of Coherent Signals with Uniform Rectangular Arrays
This paper proposes an improved spatial differencing (ISD) scheme for two-dimensional direction of arrival (2-D DOA) estimation of coherent signals with uniform rectangular arrays (URAs). We first divide the URA into a number of row rectangular subarrays. Then, by extracting all the data information of each subarray, we only perform difference-operation on the auto-correlations, while the cross...
متن کاملEstimation of Curvature and Tangent Direction by Median Filtered Differencing
We present a new method, median filtered differencing, for estimation of tangentdirection and curvature of digitised curves. On three synthetic examples and two images we show the algorithm performs successfully on both straight and curved segments even in the neighbourhood of discontinuities.
متن کاملEmbodied inference and spatial cognition
How much about our interactions with—and experience of—our world can be deduced from basic principles? This paper reviews recent attempts to understand the self-organised behaviour of embodied agents, like ourselves, as satisfying basic imperatives for sustained exchanges with the environment. In brief, one simple driving force appears to explain many aspects of perception, action and the perce...
متن کاملSpatial Effects and Ecological Inference
This paper examines the role of spatial effects in ecological inference. Both formally and through simulation experiments, we consider the problems associated with ecological inference and cross-level inference methods in the presence of increasing degrees of spatial autocorrelation. Past assessments of spatial autocorrelation in aggregate data analysis focused on unidimensional, one-directiona...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: CESifo Economic Studies
سال: 2018
ISSN: 1610-241X,1612-7501
DOI: 10.1093/cesifo/ify003